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Luan L, Liu N, Zheng BF, Zhang ZY, Song YF, Li L, Gan M, Cao L, Huang ZY, Ye JK, Zhang ZN, Liu XX, Chen JL, Wang CS, Cai B, Yu WZ. [Thoughts and suggestions on digital services to enhance the level of vaccination management]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:159-165. [PMID: 38387944 DOI: 10.3760/cma.j.cn112150-20231012-00262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
With the development of information technology and the increasing demand for vaccination services among the people, it is a definite trend to enhance the quality of vaccination services through digitization. This article starts with a clear concept of digital services for vaccination, introduces the current development status in China and abroad, analyzes the advantages and disadvantages of existing models in leading regions, takes a glean from the summation, and proposes targeted solutions. This study suggests establishing a departmental coordination mechanism for data interconnection and sharing, formulating data standards and functional specifications, enhancing the functionalities of the immunization planning information system, strengthening data collection and analytical usage, and intensifying appointment management and science and health education to provide expert guidance for the construction of digital vaccination services across the country in the future.
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Affiliation(s)
- L Luan
- Department of Immunization Program, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - N Liu
- Department of Immunization Program, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - B F Zheng
- Department of Immunization Program, Suzhou Center for Disease Control and Prevention, Suzhou 215004, China
| | - Z Y Zhang
- School of Public Health, Nanjing Medical University, Nanjing 211112, China
| | - Y F Song
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - L Li
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - M Gan
- Institute of Immunization Program, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China
| | - L Cao
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z Y Huang
- Institute of Immunization Program, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - J K Ye
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Z N Zhang
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X X Liu
- Institute of Immunization Program, Jinan Center for Disease Control and Prevention, Jinan 250021, China
| | - J L Chen
- Institute of Immunization Program, Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350012, China
| | - C S Wang
- Institute of Immunization Program, Henan Provincial Center for Disease Control and Prevention, Zhengzhou 450016, China
| | - B Cai
- Institute of Immunization Program, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - W Z Yu
- National Immunization Program, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Ren JG, Cai B, Wang H, Wang XL, Cai DS. Effect of methoxymine on prevention and treatment of myocardial injury and cardiac function in elderly patients with hypotension during intraspinal anesthesia. Eur Rev Med Pharmacol Sci 2023; 27:11755-11763. [PMID: 38164838 DOI: 10.26355/eurrev_202312_34773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
OBJECTIVE We aimed to investigate the effects of methoxamine to prevent hypotension in the elderly with intraspinal anesthesia (IA) on myocardial injury and cardiac function. PATIENTS AND METHODS A retrospective study was conducted by enrolling sixty elderly patients who underwent femoral head replacement (FHR) under IA in our hospital from August 2019 to August 2020. The patients were divided into two groups according to the random number table method. In the control group (CG) (30 patients), 5 mg of ephedrine was administered sedately when patients developed hypotension (20% below basal blood pressure). In the research group (RG) (30 cases), 2 μg/(kg·h) of methoxamine hydrochloride was given as a constant-rate pump before anesthesia, and 1 mg of methoxamine hydrochloride was administered intraoperatively if hypotension occurred. The hemodynamic [systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR)], myocardial injury indexes [cardiac troponin I (cTnI), creatine kinase isoenzyme MB (CK-MB), fatty acid binding protein (FABP), plasma amino-terminal brain natriuretic peptide precursor (NT-proBNP)], cardiac function indexes [systemic vascular resistance (SVR), stroke volume (SV), net percentage ejection time (ET)] were observed before anesthesia (T1), at the end of surgery (T2), and 6 h after surgery (T3) in both groups. The Bruggemann Comfort Score (BCS) and Visual Analog Scale (VAS) scores at T3, 12 h postoperatively (T4) and 24 h postoperatively (T5) in both groups were observed, and the incidence of adverse reactions to intralesional anesthesia in both groups was counted. RESULTS SBP, DBP and HR at T2 were lower than those at T1 in both groups, and SBP, DBP and HR at T3 were higher than those at T2, and SBP, DBP and HR at T2 and T3 in the RG were higher than those in the CG (p<0.05). In both groups, cTnⅠ, CK-MB and FABP were higher at T2 and T3 than at T1, higher at T3 than at T2, and NT-proBNP was higher at T2 than at T1 and T3, and lower in the RG than in the CG (p<0.05). In both groups, SVR and SV at time point T2 were lower than at time point T1 and ET was higher than at time point T1, SVR and SV at time point T3 were higher than at time point T2 and ET was lower than at time point T2, SVR and SV in the RG were higher than in the CG and ET was lower than in the CG (p<0.05). VAS scores were higher in both groups at T4 and T5 than at T3, and lower in the RG than in the CG (p<0.05). CONCLUSIONS Methoxamine can effectively reduce the risk of hypotension in geriatric endotracheal anesthesia, which can reduce myocardial injury and stabilize cardiac function in patients.
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Affiliation(s)
- J-G Ren
- Department of Anesthesiology and Surgery, Danzhou People's Hospital, Danzhou, China.
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Montalvo SK, Arbab M, Gonzalez Y, Lin MH, Parsons DDM, Zhuang T, Cai B, Pompos A, Hannan R, Westover KD, Zhang Y, Timmerman RD, Iyengar P. Predictive Factors for Response to Adaptive Therapy in Thoracic Stereotactic Ablative Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e43. [PMID: 37785405 DOI: 10.1016/j.ijrobp.2023.06.742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Online adaptive radiotherapy (ART) has been increasingly adopted for clinical use. However, ART for thoracic malignancies has lagged beyond its implementation for other primary cancers. Efforts are needed to identify optimal patients for ART by finding trends for changes in tumor position, shape, or proximity to OARs are needed. We hypothesized tumor size, histology, pre-RT SUV value, and intrathoracic location could influence how tumors change during cone beam computed tomography (CBCT)-based ART Stereotactic Ablative Radiotherapy (SAbR) for thoracic disease. MATERIALS/METHODS Data was collected from a prospective registry of patients who received CBCT-ART and SAbR for primary and secondary lung tumors. Dosimetry data was obtained from the simulation planning and the daily adaptive workflow. Central lung tumors were defined as those located within 2 cm of the bronchial tree. Plans were either delivered as per simulation or through the online adaptive workflow delivery (AD). Change in planning tumor volumes (PTV) were calculated between initial and final fractions (ΔPTV). RESULTS A total of 42 patients with a median age of 67 (range 17-90) and median 8.3 months follow up, treated between June 2021 and December 2022 were included. Most patients had NSCLC or presumed NSCLC (73.85%, 31/42), and most lesions were peripheral (61.9%, 26/42) versus central (31%, 13/42) or apical (7.1%, 3/42). Mean dose and median fractions were 52.5 Gy (SD 8.07) and 5 (range 3-5) while median initial (i) PTV was 31.75 cm3 (IQR 42.3 cm3). On average, ΔPTV decreased by 4.9% (SD 21) and volume shrunk by 5 cm3 (SD 14.5). AD improved per fraction PTV coverage and conformality while esophageal, cardiac, and spinal cord dose were significantly decreased (all p < 0.05), and most fractions were delivered with AD (73.4%, 138/188). AD was aborted most often for small iPTVs. ΔPTV grew >10% for two lesions though their iPTV were < 10 cm3. 12/42 ΔPTV were >10% smaller by the end of RT and corresponded to larger iPTVs. Age, lung primary, metastatic disease, smoking status, and tumor location were not predictive for >10% decrease in ΔPTV. Among 24 biopsy-proven NSCLC ΔPTV was >10% smaller in 6/12 patients (50%) with adenocarcinoma and only in 2/12 (16.7%) with SCC, although this was not significant on χ2 testing (p = 0.08). There were no differences in local, regional, distant failure or death comparing those with a ΔPTV of >10% vs <10% (all p > 0.1). Comparing pre-treatment PET SUV and tumor response, lower SUVs appear to be associated with more PTV shrinkage, with no significant PTV change plateauing at SUV 20. However, this analysis was limited by the number of patients with high SUV values. CONCLUSION CBCT-ART SAbR is associated with improved PTV coverage, target conformality, and reduced OAR dose. Large iPTV and adenocarcinomas were more likely to decrease >10%. High metabolic activity appeared predictive for a lack of significant ΔPTV. Further clinical and radiographic features should be explored to predict response to ART.
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Affiliation(s)
- S K Montalvo
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - Y Gonzalez
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Pompos
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Hannan
- University of Texas Southwestern Medical Center, Dallas, TX
| | - K D Westover
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Zhang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
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Gibbard G, Aguilera TA, Dan T, Zhuang T, Lin MH, Peng H, Jiang SB, Da Silva A, Kuduvalli G, Iyengar P, Sher DJ, Timmerman RD, Garant A, Cai B. Towards Biology-Guided Radiotherapy Planning and Delivery on a Novel O-Ring PET-Linac Platform: Extended Beyond Bone and Lung Lesions. Int J Radiat Oncol Biol Phys 2023; 117:e647. [PMID: 37785924 DOI: 10.1016/j.ijrobp.2023.06.2064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Biology-guided radiotherapy (BgRT) with FDG signal collected via an on-board positron emission tomography (PET) system integrated in an O-ring gantry Linac was recently cleared by the FDA for lung and bone lesions. This study aims to determine if BgRT plans, guided via PET signal, are clinically acceptable for FDG-avid lesions in disease sites beyond bone and lung. MATERIALS/METHODS Ten patients previously treated for lesions in the liver, head and neck (HN), pancreas, renal and pelvic-abdominal lymph nodes were identified. Diagnostic PET/CT images of these treatment sites were first collected and processed/converted to mimic PET images that are acquired on PET-Linac and would be used to guide the delivery. For BgRT planning, the PTV was generated with 5 mm margin from GTV and a Biology Tracking Zone was generated including the anticipated full range of target motion. BgRT plans, guided by the emulated PET signal, were generated with 46Gy in 3 fractions for liver and 40Gy in 5 fractions for all other sites. BgRT plan deliverability was first assessed by evaluating the Activity Concentration (AC) and Normalized Target Signals (NTS) on converted PET images with the goal to meet NTS >2 (hard constraint) and AC >5kBq/ml (goal). BgRT plan quality was then evaluated with institutional guidelines on PTV coverage, OAR doses, conformity index (CI) and Heterogeneity index (HI). RESULTS BgRT plans were successfully generated for 11 target lesions among ten patients. The average diagnostic PET SUV, derived NTS and AC on converted PET images were 12.62, 9.33 and 12.10 kBq/ml, respectively. All images met the NTS constraints, and 8/11 plans met the AC goal for deliverability. All plans met the OAR hard constraints such as max dose on duodenum, small bowel, large bowel and spinal cord. Five of 11 plans had a limiting GI structure that resulted in an expected reduction in PTV coverage with an average PTV V100% = 77.9%, CI of 1.4, HI of 1.36 and max dose of 133.8%. The other 6 of 11 cases met the PTV V100% = 95%, had an average CI of 1.1, HI of 1.28 and Dmax of 127.67%. The estimated average time for BgRT delivery was 17 mins 25 secs. Although these plan parameters are deemed to be clinically acceptable, heterogeneity was detected inside the target region and suboptimal dose fall off was observed in some cases that may be caused by current implementation. CONCLUSION This preliminary study showed that BgRT plans were generated successfully with emulated PET images on 11 treatment sites covering HN, abdominal and pelvic regions. All plans met NTS constraints and 8 out of 11 met AC goals for deliverability. The plan quality of all BgRT plans were clinically acceptable based on institutional constraints. Further investigations are required to test more patients/sites for BgRT plan feasibility. Dosimetric benefit from margin reduction of BgRT target should also be investigated in future study.
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Affiliation(s)
- G Gibbard
- University of Texas Southwestern Medical Center, Dallas, TX
| | - T A Aguilera
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - T Dan
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Peng
- University of Texas Southwestern Medical Center, Dallas, TX
| | - S B Jiang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - D J Sher
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Garant
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Li R, Montalvo SK, Zhuang T, Parsons DDM, Zhong X, Chen L, Iqbal Z, Kim H, Hrycushko BA, Westover KD, Zhang Y, Cai B, Lin MH, Iyengar P. Dosimetric Analysis of CBCT-Based Weekly Online Adaptive Radiotherapy for Locally Advanced Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e36-e37. [PMID: 37785239 DOI: 10.1016/j.ijrobp.2023.06.728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Anatomic and geometric changes are common during a radiotherapy course amongst patients receiving conventional fractionated radiotherapy for locally advanced non-small cell lung cancer (LA-NSCLC). These changes may cause significant deviation from initial reference plan resulting in over-treatment of normal tissue or under-coverage of the target. Cone-beam computed tomography (CBCT)-based online adaptive radiotherapy (ART) platforms allow for response to these changes and is being increasingly used in the clinic though less so for intrathoracic disease. We hypothesized weekly CBCT-ART would improve target coverage and decrease dose to organs at risk (OAR) in patients with LA-NSCLC. MATERIALS/METHODS Data was collected from a prospective registry of 23 LA-NSCLC patients treated to 60 Gy in 30 fractions with CBCT-ART between June 2021 and December 2022. For weekly ART (Wk-ART), online plan adaptation started on week two. The adapted plan was then used to treat patients with image guidance until the next ART. For comparison, doses were recalculated with the initial reference plan on the SCT with updated contours to derive non-adapted (non-ART) dosimetry for each week. The final dosimetric parameters were obtained by averaging weekly coverage (ITV, PTV) and critical OAR (Lung, esophagus, heart, spinal cord) doses for non-ART and weekly ART treatments respectively for each patient. Paired student t-test was performed to compare the dosimetric parameters between non-ART and Wk-ART. RESULTS We observed an average 29% ± 19% (median: 26%) reduction in ITV volume through the radiotherapy course, with 48% (11/23) of patients showing >30% reduction. Most significant volume reductions (16%) were observed between the third and fourth adaptation. Weekly ART showed significant (p<1×10-3) improvements in ITV and PTV coverage, and showed improved clinically relevant lung, esophageal, cardiac, and lung dosimetry (Table 1), especially in the later stages of treatment when the tumor showed significant shrinkage. The average time from contour review to quality assurance completed is 8.5±1.2 min. CONCLUSION CBCT-ART provides robust ART plan quality and efficient workflow. There are significant improvements in target coverage and OAR sparing in LA-NSCLC treated with weekly CBCT-ART and these are driven by the significant volume reduction of the ITV throughout treatment course.
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Affiliation(s)
- R Li
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S K Montalvo
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Zhong
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Iqbal
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Kim
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B A Hrycushko
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - K D Westover
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Zhang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
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Keilty D, Visak J, Wang S, Chen L, Kim DN, Arbab M, Alluri PG, Zhong X, Iqbal Z, Zhuang T, Cai B, Kim H, Timmerman RD, Lin MH, Parsons DDM, Rahimi AS. Predicted Cardiac Toxicity in Daily Cone-Beam CT-Based Online Adaptive Stereotactic Partial Breast Irradiation with Decreased PTV Margins. Int J Radiat Oncol Biol Phys 2023; 117:e184-e185. [PMID: 37784811 DOI: 10.1016/j.ijrobp.2023.06.1041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Partial breast irradiation (PBI) targets a smaller volume over less time compared to whole breast radiation, but the organ-at-risk (OAR) sparing allowed by its large (up to 1 cm) PTV can be improved. The heart is sensitive to low doses with conventional fractionation and NTCP models have been created for heart substructures. We hypothesized that daily online adaptive stereotactic PBI (A-SPBI) IMRT with 3-mm PTV improves dosimetry and predicted cardiac toxicity risk. MATERIALS/METHODS Patients treated with daily CBCT-based online A-SPBI IMRT were excluded if the minimum heart dose was <1 Gy. IMRT radiation plans with 3-mm PTV margins were recreated with 1-cm margins per the Florence APBI IMRT trial planning guideline. Dose statistics were converted to the equivalent doses in 2-Gy fractions (EQD2) using α/β = 3 for use in NTCP models and for comparison using paired t tests, with differences considered significant if p≤0.05. RESULTS The table details heart, left anterior descending artery (LAD), and left (LV) and right ventricle (RV) EQD2 statistics for 4 left-sided and 4 right-sided 3-mm PTV plans and their 1-cm PTV replans. For 2 patients with non-zero LV V5, 9-year excess cumulative risk of acute coronary event was <0.001% for both margin sizes. No plan reached thresholds for increased risk of non-cardiac death, major adverse cardiac event, or >10% decrease in LV ejection fraction. CONCLUSION Given the established relationship between low MHD and cardiac events, the significant decrease in MHD revealed in comparisons of 3-mm and 1-cm PTV A-SPBI plans of our first 8 patients is promising; we expect the forthcoming larger sample size to show significant differences in substructure doses. NTCP models created for non-IMRT breast plans and targets with higher heart exposure did not predict clinically-relevant differences in cardiac risk. NTCP model development for the low heart dose achieved with A-SPBI would define expected benefit in these patients; in their absence, daily adaptation should be considered in patients with unfavorable anatomy or cardiac risk factors.
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Affiliation(s)
- D Keilty
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - J Visak
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - S Wang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D N Kim
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Zhong
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Iqbal
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Kim
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Keilty D, Visak J, Wang S, Chen L, Kim DN, Arbab M, Alluri PG, Zhong X, Iqbal Z, Zhuang T, Cai B, Kim H, Timmerman RD, Lin MH, Parsons DDM, Rahimi AS. Observed and Predicted Toxicity in Daily Cone-Beam CT-Based Online Adaptive Stereotactic Partial Breast Irradiation with Decreased PTV Margins. Int J Radiat Oncol Biol Phys 2023; 117:e184. [PMID: 37784810 DOI: 10.1016/j.ijrobp.2023.06.1040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accelerated partial breast irradiation (APBI) delivers smaller radiation volumes over less time compared to whole breast irradiation (WBI), but the organ-at-risk (OAR) sparing allowed by its large (up to 1 cm) planning target volume (PTV) can be improved. PTV can be decreased with daily online adaptive planning, which we hypothesized yields low rates of adverse events observed and predicted by normal tissue complication probability (NTCP) models. MATERIALS/METHODS Intensity-modulated (IMRT) cone-beam CT (CBCT)-based daily online adaptive stereotactic PBI (A-SPBI) plans with 3-mm PTV from 8 patients were recreated with 1-cm PTV per the Florence APBI IMRT trial planning guideline. Dose statistics with evidence for association with toxicity were compared. Documented toxicities were collected for patients treated with A-SPBI with a minimum follow-up of 3.5 months and Common Terminology Criteria for Adverse Events (CTCAE) v.5.0 grade was assigned. Using α/β = 3 for breast and lung, dose statistics were converted to equivalent doses in 2-Gy fractions (EQD2) for use in NTCP models and for comparison using paired t tests, with differences considered significant if p≤0.05. RESULTS The table details EQD2 dose statistics for breast, lung, and cosmetic toxicity for A-SPBI plans with 3-mm PTV and their 1-cm PTV re-plans in 8 patients. PTV volume, mean lung dose (MLD), and lung V5, V20, and V30 were significantly lower in 1-cm plans. Acute, subacute (3-6 months), and late toxicities were collected for 30 patients followed for a median of 8 months (range 4-13 months). Radiation dermatitis was the most common acute toxicity (n = 16, 53%), followed by hyperpigmentation (n = 12, 40%), fibrosis (n = 9, 30%), and fatigue (n = 9, 30%). One grade 3 radiation dermatitis was the only grade ≥3 toxicity. Six patients (20%) acutely developed breast or axillary edema: 4 (13.3%) resolved, and 2 (6.7%) developed acutely and persist at last follow-up, >6 months after RT. No patient had a lung V20, V30, or MLD meeting thresholds for radiation-induced lung injury, radiation pneumonitis, or symptomatic or imaging-based pneumonitis models, respectively. The breast V55 model predicted a median risk of unfavorable cosmesis of 33% (range 26-44%) for A-SBPI plans and 35% (range 28-51) for 1-cm PTV plans (p = 0.28). CONCLUSION Observed acute toxicities are tolerable and rarely persist in patients treated with A-SPBI with 3-mm PTV margins with daily CBCT-based online adaptation. NTCP modeling predicts similar cosmetic outcome to 1-cm margins. The significant reduction in ipsilateral lung dose with a 3-mm PTV in our first 8 patients especially supports daily adaptation in low-risk breast cancer patients with smoking history and/or lung comorbidity.
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Affiliation(s)
- D Keilty
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - J Visak
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - S Wang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D N Kim
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Zhong
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Iqbal
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Kim
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Surucu M, Vitzthum L, Chang DT, Gensheimer MF, Kovalchuk N, Han B, Iagaru AH, Da Silva A, Narayanan M, Aksoy D, Feghali K, Shirvani SM, Maniyedath A, Cai B, Pompos A, Dan T, Öz OK, Iyengar P, Timmerman RD, Garant A. Analysis of the Measured FDG Uptake from the First-in-Human Clinical Trial of Biology-Guided Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e61-e62. [PMID: 37785835 DOI: 10.1016/j.ijrobp.2023.06.782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The RefleXion X1 system is a novel linear accelerator equipped with dual 90° PET arcs incorporated into its architecture to capture emissions from tumors and designed to respond by directing the radiation beam towards target. This study reports on the measured FDG uptake from the first in human multi-institutional clinical trial (BIOGUIDE-X) evaluating the performance and safety of the RefleXion X1 PET-LINAC. MATERIALS/METHODS A total of nine patients treated with stereotactic body radiotherapy (SBRT) for lung (5) and bone (4) tumors were enrolled in the Cohort II of this study after screening their pre-study diagnostic PET/CT, acquired up to 60 days prior to enrollment, to ensure their tumor size between 2 to 5 cm and SUVmax >6. After CT simulation, the tumor and OARs were delineated, and patients had a 4-pass Imaging-only (BgRT Modeling) PET/CT acquisition on the X1 system to generate biology-guided radiotherapy (BgRT) plans. Before the patients' first and last SBRT fractions, they were injected with FDG, and short PET pre-scan (1-pass) was performed on the X1 followed by a long-PET acquisition (4-pass) to emulate the expected BgRT dose distribution without firing beam. Patients were also imaged on a third-party diagnostic PET/CT scanner after the last-fraction X1 scan. This study compares the SUVmax from the screening PET/CT, X1 Imaging-only scan, X1 PET pre-scan and long scan before the first and last-fractions, and final diagnostic PET/CT. RESULTS The median time from injection to PET imaging was 84 ± 15.4 mins for X1 Imaging-only (used for generating BgRT plans), 77 ± 21.6 mins for X1 pre-scan (safety check before treatment start), 108+/- 22 mins for X1 long-PET (used to emulate treatment delivery), and 161 ± 23 mins for final diagnostic PET. For a nominal 10 mCi injection, the mean SUVmax for screening imaging performed on the diagnostic PET/CT was 10.8 ± 4.3. For a 15 mCi nominal injection, the mean SUVmax calculated on the X1 was 5.3 ± 2.6, 5.4 ± 2.0, 5.5 ± 2.6, 5.2 ± 1.8 and 5.4 ± 2.2 for the Imaging-only, first-fraction PET pre-scan, first-fraction long PET scan, last-fraction PET pre-scan, and last-fraction long PET scan, respectively. The overall median SUVmax for all patients across all timepoints and scans with X1 was calculated to be 4.8 with a range of 2.4 to 9.8. The median SUVmax for the diagnostic PET/CT scan after the last fraction X1 scan was 15.8 with a range of 8.5 to 27.7. CONCLUSION The dual PET arcs and limited axial extent of the X1 PET subsystem results in lower system sensitivity in comparison to diagnostic PET scanners equipped with full ring and larger axial extent, as expected. With the same FDG injection, the RefleXion X1 produced SUVmax values that were 30.4 % of the diagnostic PET/CT scanners' values. Nevertheless, the X1 collected sufficient emission data to enable successful completion of emulated BgRT deliveries that met dose accuracy criteria in a clinical setting.
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Affiliation(s)
- M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D T Chang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Department of Radiation Oncology, Michigan Medicine, Ann Arbor, MI
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Han
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - A H Iagaru
- Department of Radiology, Stanford University School of Medicine, Palo Alto, CA
| | | | | | - D Aksoy
- RefleXion Medical, Inc., Hayward, CA
| | - K Feghali
- RefleXion Medical, Inc., Hayward, CA
| | | | | | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Pompos
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Dan
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - O K Öz
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Garant
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
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Garant T, Iyengar P, Dan T, Pompos A, Timmerman RD, Öz OK, Cai B, Shirvani SM, Aksoy D, Al Feghali KA, Maniyedath A, Narayanan M, Da Silva A, Surucu M, Gensheimer MF, Kovalchuk N, Han B, Pham D, Chang DT, Vitzthum L. Imaging Performance of the PET Scan on a Novel Ring Gantry-Based PET/CT Linear Accelerator System in the First-in-Human Study of Biology-Guided Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e665. [PMID: 37785968 DOI: 10.1016/j.ijrobp.2023.06.2105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Biology-guided radiotherapy (BgRT) is a novel tracked dose delivery modality using real-time positron emission tomography (PET) to guide radiotherapy beamlets. The present study was performed with sequential cohorts of participants to evaluate the performance and safety of BgRT. Primary endpoints were previously reported. We hereby report on one of the secondary endpoints assessing a novel treatment planning machine with integrated dual kVCT/PET imaging ("novel device") performance in comparison to a third-party diagnostic PET/CT scan. MATERIALS/METHODS This single-arm, open-label, prospective study included participants with at least 1 FDG-avid targetable primary or metastatic tumor (≥2cm and ≤5cm) in the lung or bone. PET imaging data were collected on the novel device and on a third-party diagnostic PET/CT performed in sequence once at the planning timepoint in Cohort I, and immediately before the last fraction among patients undergoing stereotactic radiotherapy in Cohort II. Three central read radiation oncologists (CRRO) provided an interpretation of the novel device PET scans which were compared to an agreement standard based on 3 central radiologists' review of the paired diagnostic PET/CT scan. Positive percent agreement for localization of the target tumor within the biology-tracking zone (BTZ) was the key metric because it reflects whether advancing patients to subsequent steps in the BgRT workflow based on the novel device's imaging was ultimately appropriate. RESULTS In Cohort 1, 6 image comparisons were performed. The positive (%) agreement for the aggregate radiation oncologist review was 100% (5/5), reflecting that in all 5 cases where the aggregate radiation oncologists deemed the tumor to fall within the BTZ based upon the novel device PET images, the central radiologists came to the same conclusion upon review of the paired diagnostic PET/CT images. The overall (%) agreement for the aggregate radiation oncologist review was 83.3% (5/6): localization was not established on the novel device in 1 case, even though it was established on the diagnostic PET/CT. This would not pose risk in real world practice as BgRT candidacy would be aborted for tumors not visible on the novel device. In Cohort II, among the 7 image comparisons, there was 100% positive percent agreement between the aggregate CRRO and the agreement standard as the localization criteria was met in both scans for all 7 patients. This was concordant with a 100% overall percent agreement. CONCLUSION This investigation demonstrated a 100% positive percent agreement between central review of this novel device images by radiation oncologists and central review of the accompanying third-party PET/CT images by radiologists. There were no cases where a positive localization by the aggregate CRRO was not confirmed by the third-party PET/CT standard, providing evidence against the likelihood of falsely positive localizations on the novel device that would inappropriately advance patients in the workflow.
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Affiliation(s)
- T Garant
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Dan
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - A Pompos
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - O K Öz
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - D Aksoy
- RefleXion Medical, Inc., Hayward, CA
| | | | | | | | | | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Han
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D T Chang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Gonzalez Y, Chen L, Lee H, Kim N, Arbab M, Alluri PG, Zhang Y, Chiu TD, Iqbal Z, Zhuang T, Cai B, Kim H, Pompos A, Jiang SB, Godley AR, Timmerman RD, Lin MH, Rahimi AS, Parsons DDM. Dosimetric Comparison of Adaptive Radiotherapy Modalities for Stereotactic Partial Breast Irradiation. Int J Radiat Oncol Biol Phys 2023; 117:S163-S164. [PMID: 37784408 DOI: 10.1016/j.ijrobp.2023.06.260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) An increase in the availability of adaptive radiotherapy (ART) platforms have proven to be effective in the treatment of a variety of sites. In this study, we aim to evaluate the effectiveness of non-adaptive RT and 3 different ART platforms: (1) CBCT-based, (2) CT-based, and (3) MRI-based for stereotactic partial breast irradiation (SPBI). MATERIALS/METHODS Data were collected from 32 patients (16 left and 16 right breast) treated at a single institution. 16 patients (8 left and 8 right) treated using the non-ART platform were re-planned onto two different ART platforms, CBCT- and MRI-based. The remaining 16 patients treated using CT-based adaptive platform were not re-planned due to the prone patient treatment position (others systems supine). All cases were planned to 30 Gy in 5 fractions. Plan quality was evaluated based on pre-defined planning goals to the OARS: ipsilateral and contralateral lungs (Dmean, Dmax, V20 Gy, V9 Gy), ipsilateral (V15 Gy, V30 Gy) and contralateral breasts (Dmax), heart (Dmean, Dmax, V3 Gy, V1.5 Gy), skin (Dmax, V36.5 Gy), and rib (Dmax, V30 Gy). Target goals were defined by Dmax, Dmin, gradient index, and paddock conformality index. Re-planned cases were compared within the cohort using a paired t-test and a 2-sided t-test was used comparing to the CT-based platform. RESULTS Comparing the left and right breast cohort across all platforms, the CT-based ART system showed a signification dose reduction in Dmean (p<0.001 for all platforms), Dmax (p<0.001 for left breast, p<0.03 for right breast) and V9 Gy (p<0.004 for left breast, p<0.001 for right breast) to the ipsilateral lung, V15 Gy (p<0.004 for left breast cohort) to the ipsilateral breast, and Dmax to the contralateral breast (p<0.001) and ribs (p = 0.01, p<0.001, p = 0.01 for CBCT-ART, MRI-ART, and non-ART for left breast cohort only). On average, the MR-Linac platform showed the least degree of OAR sparing across nearly all dosimetric parameters evaluated when compared to all modalities, especially for contralateral lung Dmean and Dmax (p<0.05 for all dosimetric parameters for all platforms) and contralateral breast Dmax (p<0.003 for all platforms). The CBCT-based platform showed superior dose reduction in contralateral lung mean (p<0.03 for all platforms) and heart Dmean (p = 0.065, p<0.001, p = 0.045 for non-adaptive, MRI-ART, and CT-ART for left breast and p<0.008 for right breast). PTV coverage was comparable across all platforms, averaging at approximately 95%. The CT-based ART platform showed a significantly reduced gradient index relative to the CBCT- and MRI-based platforms (p<0.001). CONCLUSION For SPBI treatments, the CT-based ART platforms displayed a higher degree of OAR sparing for many of the dosimetric parameters recorded relative to the other ART and non-ART platforms presented. The MRI-based system typically showed less reduced OAR sparing; however, the advantage of the system is shown if soft tissue contrast is needed. PTV coverage remained comparable across all platforms.
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Affiliation(s)
- Y Gonzalez
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Lee
- Washington University School of Medicine in St. Louis, St. Louis, MO
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - Y Zhang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T D Chiu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Iqbal
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Zhuang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - H Kim
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Pompos
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - S B Jiang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A R Godley
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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11
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Surucu M, Vitzthum L, Chang DT, Gensheimer MF, Kovalchuk N, Han B, Pham D, Da Silva A, Narayanan M, Aksoy D, Feghali K, Shirvani SM, Maniyedath A, Cai B, Pompos A, Dan T, Öz OK, Iyengar P, Timmerman RD, Garant A. Workflow Considerations for Biology-Guided Radiotherapy (BgRT) Implementation. Int J Radiat Oncol Biol Phys 2023; 117:e441. [PMID: 37785431 DOI: 10.1016/j.ijrobp.2023.06.1618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Biology-guided radiotherapy (BgRT) is a novel platform that combines real-time PET imaging with a 6MV Linac to target tumors. The performance and safety of BgRT was assessed in the BIOGUIDE-X clinical trial. This study aims to report on the BgRT workflow steps and assess the time required for each step of the BgRT process during this trial. MATERIALS/METHODS A total of nine patients were enrolled in the second Cohort of the BIOGUIDE-X study which included patients treated with stereotactic body radiotherapy (SBRT) for lung tumors (5) and bone tumors (4). The pre-treatment BgRT workflow includes CT simulation, contouring, imaging-only (BgRT Modeling) PET acquisition, BgRT planning, patient specific QA and plan approval. The imaging-only PET acquisition on the X1 collects a representative PET volumetric 3D image and is an input to develop the BgRT treatment plan. The steps during the BgRT delivery session are kVCT localization, PET pre-scan, PET evaluation and BgRT delivery. The PET PreScan is a 1-pass short-duration PET acquisition that is used to confirm that the PET biodistribution on the day of treatment is consistent with that of the imaging-only PET. During BIOGUIDE-X, the BgRT delivery step was replaced by a 4-pass long-PET acquisition that was used to emulate the expected BgRT dose distribution without turning the beam on. To assess BgRT workflow, times from 18F-FDG injection to image-only PET acquisition, 18F-FDG injection to PET pre-scan, Pre-scan to PET evaluation, and PET evaluation to BgRT delivery (long PET acquisition) were recorded. RESULTS Time between the 18F-FDG injection and the X1 imaging-only PET scan was 84 ± 19 minutes which includes time for 18F-FDG update. Average time to perform imaging-only PET scan was 26 ± 4 minutes. During the BgRT 'delivery' session, the mean time between the kVCT acquisition and PET pre-scan acquisition was 7 ± 3 minutes. The mean time to acquire a 1-pass PET pre-scan was 6 ± 1 then followed by 6 ± 1 minutes for the PET pre-scan dose calculation to estimate the BgRT doses that it would have delivered for this fraction. On average, the PET reconstruction, the PET signal localization verification and the evaluation of safety metrics took 11 ± 4 minutes. The mean time for BgRT 'delivery' was 27 ± 5 minutes based on the 4-pass long PET acquisition. Time from the start of the BgRT session to the end of the BgRT 'delivery' with this version of the investigative product release was 65 ± 9 minutes. CONCLUSION The new processes introduced by the BgRT technology were evaluated and found clinically feasible. Improvements are being undertaken to shorten the time required for each step and to increase patient comfort ahead of BgRT clinical implementation.
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Affiliation(s)
- M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D T Chang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Department of Radiation Oncology, Michigan Medicine, Ann Arbor, MI
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Han
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | | | | | - D Aksoy
- RefleXion Medical, Inc., Hayward, CA
| | - K Feghali
- RefleXion Medical, Inc., Hayward, CA
| | | | | | - B Cai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Pompos
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T Dan
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - O K Öz
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P Iyengar
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Garant
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
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12
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Cai B, Wilson A. A205 EVALUATING THE ASSOCIATION BETWEEN PERIPHERAL BLOOD EOSINOPHILS AND DRUG RESPONSE IN CROHN'S DISEASE: CONTINUING ANALYSIS. J Can Assoc Gastroenterol 2023. [PMCID: PMC9991192 DOI: 10.1093/jcag/gwac036.205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/09/2023] Open
Abstract
Background Th2 cytokines, IL-5 and IL-13 enhance peripheral and mucosal eosinophil survival, recruitment and degranulation, facilitating inflammation in Crohn's Disease. In a preliminary analysis, peripheral eosinophilia (PBE) is seen to have an association with rates of steroid response and anti-TNF response in CD patients. Participants with high PBE (> 200 cells/μL) appear to be more steroid-responsive but less responsive to Th1-targeting anti-TNF therapies. We hypothesize the pattern of PBE at CD diagnosis can help identify distinct subsets within a larger CD population and correlate with response to treatments such as prednisone or anti-TNFs. Purpose We aim to evaluate the pattern of PBE of CD patients at time of diagnosis (prior to drug exposure) and with each subsequent treatment; and if baseline PBE or any changes seen with drug exposures are predictive of treatment response. Method A retrospective cohort study is ongoing with CD patients exposed to glucocorticoids and an anti-TNF seen at 3 hospitals affiliated with University of Western Ontario. Patients were identified using administrative databases and reviewed for biochemical data (complete blood count) and disease activity (Harvey Bradshaw Index) at baseline, before and after each drug exposure. Participants were classified as having high PBE (eosinophils>200 cells/μL) versus low PBE (eosinophils <200 cells/μL). To date, 350 patients have been screened. Subgroup analyses of PBE > 300 cells/μL, and differences between female and male patients will be carried out. Result(s) 46 of 200 CD patients are included in the continuing analysis with a mean age of 45 years. 26 had PBE >200 cells/μL at baseline and 20 did not. The median number therapies used was 4 (IQR=0.75). All received glucocorticoids followed by an anti-TNF. There was no difference in the occurrence of hospitalization or surgery between the two groups. Overall 50% participants with high PBE >200 and >300 cells/μL had clinical response to glucocorticoid exposure, seen as a 3-point decrease in HBI compared to 45%, 47% in the low PBE cohort (n=13/26 vs. n=9/20 p=0.77; n=6/12 vs. n=16/34 p=1.0 respectively). With subsequent anti-TNF exposure, PBE rebounded in 7 participants. 36% patients in the high PBE group required anti-TNF dose escalation versus 24% in the low PBE group (n=9/25 vs. n=5/21, p=0.52). The proportion of patients with anti-TNF discontinuation was similar in both groups (high PBE 19.2%, n=5/26 vs. low PBE 15%, n=3/20, p=1.0). Men had higher steroid response rates compared to women in both high and low PBE groups (n=6/8 vs. n=8/18 p=0.21; n=4/9 vs. 4/11 p=1.0 respectively). Conclusion(s) Peripheral eosinophilia is seen in varying degrees in CD patients. Participants with high PBE are more steroid-responsive. High PBE patients overall were less responsive to anti-TNF therapies, requiring more dose-escalation and discontinued anti-TNF treatment. Completion of this study will help clarify the association between PBE in CD and treatment response. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared
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Affiliation(s)
- B Cai
- Gastroenterology, Western University, London, Canada
| | - A Wilson
- Gastroenterology, Western University, London, Canada
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Cai B, Arnold Egloff S, Goyal R, Cai B, Caro N, Frost M, Mahmud S, Ansquer V, Davis K, Brisbin L, Lisi M, McKenzie A, Paulson S. PP01.63 Real-World Assessment of Clinical Outcomes Associated with Immunotherapy (IO) and chemotherapy in Non–Small Cell Lung Cancer (NSCLC) Patients with Brain Metastases and METexon14 Skipping Mutations Treated in US Community Centers. J Thorac Oncol 2023. [DOI: 10.1016/j.jtho.2022.09.089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
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14
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Fan ZX, Wang CB, Fang LL, Cai B, Yuan P, Niu TT, Ma L, Yuan GB, Liu GZ. [Clinical features, risk factors and prognosis of idiopathic dilated cardiomyopathy complicated by ischemic stroke]. Zhonghua Yi Xue Za Zhi 2022; 102:3592-3597. [PMID: 36480862 DOI: 10.3760/cma.j.cn112137-20220427-00949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Objective: To analyze the clinical features, risk factors and prognosis of idiopathic dilated cardiomyopathy (DCM) complicated with ischemic stroke (IS) (DCM-IS). Methods: The clinical data of patients with idiopathic DCM (n=613) in Beijing Anzhen Hospital, Liangxiang Hospital and Fuxing Hospital from January 2016 to December 2020 were retrospectively collected, and among them, 123 cases were DCM-IS. Clinical features of patients with DCM-IS were summarized and multivariate logistic regression model was utilized to analyze the independent risk factors of DCM-IS. Furthermore, 1-year follow-up was conducted and Kaplan-Meier curve was adopted to analyze the prognosis of DCM, using all-cause death and heart transplantation as adverse outcomes. Results: Among the 70 patients with DCM-IS, 6 patients (8.6%, 6/70) were in accordance with the subtype of large artery atherosclerosis, and 47 patients (67.1%, 47/70) were in line with the subtype of cardiogenic embolism, and small artery occlusion subtype (ie, lacunar infarction) were detected in 17 cases (24.3%, 17/70). Hypertension [odds ratio (OR)=1.617, 95% confidence interval (CI): 1.049-2.491, P=0.029], hyperlipidemia (OR=1.918, 95%CI: 1.198-3.073, P=0.007), atrial fibrillation (AF) (OR=1.617, 95%CI: 1.016-2.572, P=0.043), lower estimated glomerular filtration rate (eGFR) (OR=0.986, 95%CI: 0.977-0.996, P=0.005) and a higher incidence of intracardiac thrombus (OR=6.127, 95%CI: 3.174-11.827, P<0.001) were risk factors for DCM-IS. The overall 1-year survival rate was lower in DCM-IS patients (70.7%) than DCM patients without stroke (83.6%, P=0.004), and the main causes of death included obstinate heart failure (3 cases of DCM-IS, and 5 cases of non-DCM-IS) and malignant arrhythmia (DCM-IS) (22 cases of DCM-IS, and 18 cases of non-DCM-IS). Conclusions: Among IS patients with idiopathic DCM, cardioembolism is the most common, followed by lacunar infarction, and the large-artery atherosclerotic subtype is the least common.Hypertension, hyperlipidemia, AF, lower eGFR value and higher incidence of intracardiac thrombus are risk factors for DCM-IS. DCM patients complicated with IS have poor short-term prognosis, and obstinate heart failure and malignant arrhythmia are their main causes of death.
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Affiliation(s)
- Z X Fan
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - C B Wang
- Department of Neurology, Liangxiang Hospital, Fangshan District, Beijing, Beijing 102400, China
| | - L L Fang
- Department of Neurology, Fuxing Hospital, Capital Medical University, Beijing 100045, China
| | - B Cai
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - P Yuan
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - T T Niu
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - L Ma
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - G B Yuan
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
| | - G Z Liu
- Department of Neurology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
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Meng B, Dohopolski M, Bai T, Jiang S, Cai B, Lin M. Quantifying AI Assisted Auto-Segmentations Performance for a Clinical Online Adaptive Radiotherapy System in Multiple Treatment Sites. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Montalvo S, Kim D, Nwachukwu C, Alluri P, Parsons D, Lin M, Cai B, Zhuang T, Hrycushko B, Chen L, Timmerman R, Rahimi A. Real-Time Online Adaptation for Accelerated Partial Breast Irradiation Significantly Improves Target Coverage without Compromising Organs at Risk. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Gonzalez Y, Meng B, Parsons D, Hrycushko B, Zhuang T, Cai B, Zhang Y, Westover K, Lin M, Iyengar P. Initial Clinical Experience of CBCT-Based Adaptive Online Radiotherapy for SAbR of Thoracic Malignancies. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Zhao H, Meng B, Dohopolski M, Choi B, Liang X, Bai T, Nguyen D, Cai B, Lin M, Jiang S. Segmentation of Targets and Organs at Risk for CBCT-Based Online Adaptive Radiotherapy Using Recurrent Neural Networks: A Clinical Evaluation. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Wang K, Morgan H, Yan Y, Desai N, Hannan R, Chambers E, Dohopolski M, Cai B, Lin M, Sher D, Wang J, Wang A, Jiang S, Timmerman R, Park J, Garant A. Time Dependence of Coverage of the Prostatic Fossa: Implications for Daily Adaptive Radiotherapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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Meng Y, Cai B, Lan Q, Niu F, Zhang X, Yang Y. Synthesis and Structural Characterization of a Di-nuclear Uranyl Complex with Quinoline-6-carboxylate. CRYSTALLOGR REP+ 2022. [DOI: 10.1134/s1063774522020092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Cai B, Wilson A. A163 EVALUATING THE ASSOCIATION BETWEEN PERIPHERAL BLOOD EOSINOPHILS AND DRUG RESPONSE IN CROHN’S DISEASE: A PRELIMINARY REPORT. J Can Assoc Gastroenterol 2022. [PMCID: PMC8859199 DOI: 10.1093/jcag/gwab049.162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background Th1, Th2, and Th17 immune pathways are variably activated in inflammatory bowel disease (IBD). The degree to which pathway having a more dominant role in propagating Crohn’s disease (CD) is not considered when selecting a treatment strategy. Th2 cytokines, IL-5 and IL-13 enhance eosinophil survival, recruitment and degranulation, facilitating inflammation. Mucosal eosinophilia has been documented in CD and its presence is a surrogate marker of Th2 pathway activation. Peripheral eosinophilia has an established role in asthma to help prognosticate treatment response to Th2-cytokine-specific therapies. We hypothesize the pattern of peripheral blood eosinophils (PBE) at CD diagnosis will identify distinct subsets within a larger CD population and correlate with response to treatments such as prednisone or anti-TNFs. Aims We aim to evaluate the pattern of PBE of CD patients at time of diagnosis (prior to drug exposure) and with each subsequent treatment; and if baseline PBE or any changes seen with drug exposures are predictive of treatment response. Methods A retrospective cohort study is ongoing with CD patients exposed to glucocorticoids and an anti-TNF seen at one of 3 hospitals affiliated with University of Western Ontario. Patients were identified using administrative databases and reviewed for biochemical data (complete blood count) and disease activity (Harvey Bradshaw Index) at baseline as well as before and after each drug exposure. Participants were classified as having high PBE (eosinophils >200 cells/μl) versus low PBE (eosinophils <200 cells/μl). Results To date,10 of 200 CD patients are included in the preliminary analyses with a mean age of 47. 8 had PBE >200 cells/μL at baseline, while 2 did not. The median number therapies used was 4 (IQR=0.75). All received glucocorticoids followed by an anti-TNF. There was no difference in the occurrence of hospitalization or surgery between the two cohorts. Overall 75% (n=6/8) participants with high PBE had clinical response to glucocorticoid exposure, seen as a 3-point decrease in HBI compared to 0% (n=0/2, p=0.5) in the low PBE cohort. With subsequent anti-TNF exposure, PBE rebounded in 6 participants. More patients in the high PBE group required anti-TNF dose escalation versus the low PBE group (63%, n=5/8 versus 50%, n=1/2, p=0.99). The proportion of patients with anti-TNF discontinuation was similar in both groups (high PBE, 50%, n=4/8 versus low PBE, 50%, n=1/2, p=1.00). Conclusions Peripheral eosinophilia is seen in varying degrees in CD patients. Participants with high PBE appear to be more steroid-responsive which is typical for Th2-mediated pathways. They were less responsive to Th1-targeting anti-TNF therapies, requiring more dose-escalation and discontinued anti-TNF treatment. Completion of this study will help clarify the association between PBE in CD and treatment response. Funding Agencies None
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Affiliation(s)
- B Cai
- Gastroenterology, Western University, London, ON, Canada
| | - A Wilson
- Gastroenterology, Western University, London, ON, Canada
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Adhikari P, Ajaj R, Auty D, Bina C, Bonivento W, Boulay M, Cadeddu M, Cai B, Cárdenas-Montes M, Cavuoti S, Chen Y, Cleveland B, Corning J, Daugherty S, DelGobbo P, Di Stefano P, Doria L, Dunford M, Erlandson A, Farahani S, Fatemighomi N, Fiorillo G, Gallacher D, Garcés E, García Abia P, Garg S, Giampa P, Goeldi D, Gorel P, Graham K, Grobov A, Hallin A, Hamstra M, Hugues T, Ilyasov A, Joy A, Jigmeddorj B, Jillings C, Kamaev O, Kaur G, Kemp A, Kochanek I, Kuźniak M, Lai M, Langrock S, Lehnert B, Levashko N, Li X, Litvinov O, Lock J, Longo G, Machulin I, McDonald A, McElroy T, McLaughlin J, Mielnichuk C, Monroe J, Oliviéro G, Pal S, Peeters S, Pesudo V, Piro MC, Pollmann T, Rand E, Rethmeier C, Retière F, Rodríguez-García I, Roszkowski L, Sanchez García E, Sánchez-Pastor T, Santorelli R, Sinclair D, Skensved P, Smith B, Smith N, Sonley T, Stainforth R, Stringer M, Sur B, Vázquez-Jáuregui E, Viel S, Vincent A, Walding J, Waqar M, Ward M, Westerdale S, Willis J, Zuñiga-Reyes A. Erratum: Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector [Phys. Rev. D
102
, 082001 (2020)]. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.029901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Adhikari P, Ajaj R, Alpízar-Venegas M, Auty DJ, Benmansour H, Bina CE, Bonivento W, Boulay MG, Cadeddu M, Cai B, Cárdenas-Montes M, Cavuoti S, Chen Y, Cleveland BT, Corning JM, Daugherty S, DelGobbo P, Di Stefano P, Doria L, Dunford M, Ellingwood E, Erlandson A, Farahani SS, Fatemighomi N, Fiorillo G, Gallacher D, García Abia P, Garg S, Giampa P, Goeldi D, Gorel P, Graham K, Grobov A, Hallin AL, Hamstra M, Hugues T, Ilyasov A, Joy A, Jigmeddorj B, Jillings CJ, Kamaev O, Kaur G, Kemp A, Kochanek I, Kuźniak M, Lai M, Langrock S, Lehnert B, Leonhardt A, Levashko N, Li X, Lissia M, Litvinov O, Lock J, Longo G, Machulin I, McDonald AB, McElroy T, McLaughlin JB, Mielnichuk C, Mirasola L, Monroe J, Oliviéro G, Pal S, Peeters SJM, Perry M, Pesudo V, Picciau E, Piro MC, Pollmann TR, Raj N, Rand ET, Rethmeier C, Retière F, Rodríguez-García I, Roszkowski L, Ruhland JB, Sanchez García E, Sánchez-Pastor T, Santorelli R, Seth S, Sinclair D, Skensved P, Smith B, Smith NJT, Sonley T, Stainforth R, Stringer M, Sur B, Vázquez-Jáuregui E, Viel S, Walding J, Waqar M, Ward M, Westerdale S, Willis J, Zuñiga-Reyes A. First Direct Detection Constraints on Planck-Scale Mass Dark Matter with Multiple-Scatter Signatures Using the DEAP-3600 Detector. Phys Rev Lett 2022; 128:011801. [PMID: 35061499 DOI: 10.1103/physrevlett.128.011801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/15/2021] [Accepted: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Dark matter with Planck-scale mass (≃10^{19} GeV/c^{2}) arises in well-motivated theories and could be produced by several cosmological mechanisms. A search for multiscatter signals from supermassive dark matter was performed with a blind analysis of data collected over a 813 d live time with DEAP-3600, a 3.3 t single-phase liquid argon-based detector at SNOLAB. No candidate signals were observed, leading to the first direct detection constraints on Planck-scale mass dark matter. Leading limits constrain dark matter masses between 8.3×10^{6} and 1.2×10^{19} GeV/c^{2}, and ^{40}Ar-scattering cross sections between 1.0×10^{-23} and 2.4×10^{-18} cm^{2}. These results are interpreted as constraints on composite dark matter models with two different nucleon-to-nuclear cross section scalings.
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Affiliation(s)
- P Adhikari
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - R Ajaj
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - M Alpízar-Venegas
- Instituto de Física, Universidad Nacional Autónoma de México, A.P. 20-364, México D.F. 01000, México
| | - D J Auty
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - H Benmansour
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - C E Bina
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | | | - M G Boulay
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - M Cadeddu
- Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy
- INFN Cagliari, Cagliari 09042, Italy
| | - B Cai
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - M Cárdenas-Montes
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - S Cavuoti
- Physics Department, Università degli Studi "Federico II" di Napoli, Napoli 80126, Italy
- Astronomical Observatory of Capodimonte, Salita Moiariello 16, I-80131 Napoli, Italy
- INFN Napoli, Napoli 80126, Italy
| | - Y Chen
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - B T Cleveland
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
| | - J M Corning
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - S Daugherty
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
| | - P DelGobbo
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - P Di Stefano
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - L Doria
- PRISMA+, Cluster of Excellence and Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, 55128 Mainz, Germany
| | - M Dunford
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - E Ellingwood
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - A Erlandson
- Canadian Nuclear Laboratories, Chalk River, Ontario, K0J 1J0, Canada
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - S S Farahani
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - N Fatemighomi
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX, United Kingdom
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
| | - G Fiorillo
- Physics Department, Università degli Studi "Federico II" di Napoli, Napoli 80126, Italy
- INFN Napoli, Napoli 80126, Italy
| | - D Gallacher
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - P García Abia
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - S Garg
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - P Giampa
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - D Goeldi
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - P Gorel
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - K Graham
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - A Grobov
- National Research Centre Kurchatov Institute, Moscow 123182, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - A L Hallin
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - M Hamstra
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - T Hugues
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
| | - A Ilyasov
- National Research Centre Kurchatov Institute, Moscow 123182, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - A Joy
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - B Jigmeddorj
- Canadian Nuclear Laboratories, Chalk River, Ontario, K0J 1J0, Canada
| | - C J Jillings
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
| | - O Kamaev
- Canadian Nuclear Laboratories, Chalk River, Ontario, K0J 1J0, Canada
| | - G Kaur
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - A Kemp
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX, United Kingdom
| | - I Kochanek
- INFN Laboratori Nazionali del Gran Sasso, Assergi (AQ) 67100, Italy
| | - M Kuźniak
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - M Lai
- Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy
- INFN Cagliari, Cagliari 09042, Italy
| | - S Langrock
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - B Lehnert
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - A Leonhardt
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - N Levashko
- National Research Centre Kurchatov Institute, Moscow 123182, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - X Li
- Physics Department, Princeton University, Princeton, New Jersey 08544, USA
| | - M Lissia
- INFN Cagliari, Cagliari 09042, Italy
| | - O Litvinov
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - J Lock
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - G Longo
- Physics Department, Università degli Studi "Federico II" di Napoli, Napoli 80126, Italy
- INFN Napoli, Napoli 80126, Italy
| | - I Machulin
- National Research Centre Kurchatov Institute, Moscow 123182, Russia
- National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - A B McDonald
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - T McElroy
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - J B McLaughlin
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX, United Kingdom
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - C Mielnichuk
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - L Mirasola
- Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy
| | - J Monroe
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX, United Kingdom
| | - G Oliviéro
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - S Pal
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - S J M Peeters
- University of Sussex, Sussex House, Brighton, East Sussex BN1 9RH, United Kingdom
| | - M Perry
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - V Pesudo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - E Picciau
- Physics Department, Università degli Studi di Cagliari, Cagliari 09042, Italy
- INFN Cagliari, Cagliari 09042, Italy
| | - M-C Piro
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - T R Pollmann
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - N Raj
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - E T Rand
- Canadian Nuclear Laboratories, Chalk River, Ontario, K0J 1J0, Canada
| | - C Rethmeier
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - F Retière
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - I Rodríguez-García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - L Roszkowski
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
- BP2, National Centre for Nuclear Research, ul. Pasteura 7, 02-093 Warsaw, Poland
| | - J B Ruhland
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - E Sanchez García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - T Sánchez-Pastor
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - R Santorelli
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Madrid 28040, Spain
| | - S Seth
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - D Sinclair
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - P Skensved
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
| | - B Smith
- TRIUMF, Vancouver, British Columbia, V6T 2A3, Canada
| | - N J T Smith
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
| | - T Sonley
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - R Stainforth
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
| | - M Stringer
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - B Sur
- Canadian Nuclear Laboratories, Chalk River, Ontario, K0J 1J0, Canada
| | - E Vázquez-Jáuregui
- Department of Physics and Astronomy, Laurentian University, Sudbury, Ontario, P3E 2C6, Canada
- Instituto de Física, Universidad Nacional Autónoma de México, A.P. 20-364, México D.F. 01000, México
| | - S Viel
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - J Walding
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX, United Kingdom
| | - M Waqar
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, Kingston ON K7L 3N6,Canada
| | - M Ward
- Department of Physics, Engineering Physics, and Astronomy, Queen's University, Kingston, Ontario, K7L 3N6, Canada
- SNOLAB, Lively, Ontario, P3Y 1N2, Canada
| | - S Westerdale
- Department of Physics, Carleton University, Ottawa, Ontario, K1S 5B6, Canada
- INFN Cagliari, Cagliari 09042, Italy
| | - J Willis
- Department of Physics, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - A Zuñiga-Reyes
- Instituto de Física, Universidad Nacional Autónoma de México, A.P. 20-364, México D.F. 01000, México
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Adhikari P, Ajaj R, Alpízar-Venegas M, Amaudruz PA, Auty DJ, Batygov M, Beltran B, Benmansour H, Bina CE, Bonatt J, Bonivento W, Boulay MG, Broerman B, Bueno JF, Burghardt PM, Butcher A, Cadeddu M, Cai B, Cárdenas-Montes M, Cavuoti S, Chen M, Chen Y, Cleveland BT, Corning JM, Cranshaw D, Daugherty S, DelGobbo P, Dering K, DiGioseffo J, Di Stefano P, Doria L, Duncan FA, Dunford M, Ellingwood E, Erlandson A, Farahani SS, Fatemighomi N, Fiorillo G, Florian S, Flower T, Ford RJ, Gagnon R, Gallacher D, García Abia P, Garg S, Giampa P, Goeldi D, Golovko V, Gorel P, Graham K, Grant DR, Grobov A, Hallin AL, Hamstra M, Harvey PJ, Hearns C, Hugues T, Ilyasov A, Joy A, Jigmeddorj B, Jillings CJ, Kamaev O, Kaur G, Kemp A, Kochanek I, Kuźniak M, Lai M, Langrock S, Lehnert B, Leonhardt A, Levashko N, Li X, Lidgard J, Lindner T, Lissia M, Lock J, Longo G, Machulin I, McDonald AB, McElroy T, McGinn T, McLaughlin JB, Mehdiyev R, Mielnichuk C, Monroe J, Nadeau P, Nantais C, Ng C, Noble AJ, O’Dwyer E, Oliviéro G, Ouellet C, Pal S, Pasuthip P, Peeters SJM, Perry M, Pesudo V, Picciau E, Piro MC, Pollmann TR, Rand ET, Rethmeier C, Retière F, Rodríguez-García I, Roszkowski L, Ruhland JB, Sánchez-García E, Santorelli R, Sinclair D, Skensved P, Smith B, Smith NJT, Sonley T, Soukup J, Stainforth R, Stone C, Strickland V, Stringer M, Sur B, Tang J, Vázquez-Jáuregui E, Viel S, Walding J, Waqar M, Ward M, Westerdale S, Willis J, Zuñiga-Reyes A. Pulse-shape discrimination against low-energy Ar-39 beta decays in liquid argon with 4.5 tonne-years of DEAP-3600 data. Eur Phys J C Part Fields 2021; 81:823. [PMID: 34720726 PMCID: PMC8550104 DOI: 10.1140/epjc/s10052-021-09514-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 07/30/2021] [Indexed: 06/13/2023]
Abstract
The DEAP-3600 detector searches for the scintillation signal from dark matter particles scattering on a 3.3 tonne liquid argon target. The largest background comes from 39 Ar beta decays and is suppressed using pulse-shape discrimination (PSD). We use two types of PSD estimator: the prompt-fraction, which considers the fraction of the scintillation signal in a narrow and a wide time window around the event peak, and the log-likelihood-ratio, which compares the observed photon arrival times to a signal and a background model. We furthermore use two algorithms to determine the number of photons detected at a given time: (1) simply dividing the charge of each PMT pulse by the mean single-photoelectron charge, and (2) a likelihood analysis that considers the probability to detect a certain number of photons at a given time, based on a model for the scintillation pulse shape and for afterpulsing in the light detectors. The prompt-fraction performs approximately as well as the log-likelihood-ratio PSD algorithm if the photon detection times are not biased by detector effects. We explain this result using a model for the information carried by scintillation photons as a function of the time when they are detected.
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Affiliation(s)
- P. Adhikari
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - R. Ajaj
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - M. Alpízar-Venegas
- Instituto de Física, Universidad Nacional Autónoma de México, A. P. 20-364, 01000 Mexico, D.F. Mexico
| | | | - D. J. Auty
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - M. Batygov
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
| | - B. Beltran
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - H. Benmansour
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - C. E. Bina
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. Bonatt
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | | | - M. G. Boulay
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - B. Broerman
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. F. Bueno
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - P. M. Burghardt
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - A. Butcher
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX UK
| | | | - B. Cai
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - M. Cárdenas-Montes
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Cavuoti
- Physics Department, Università degli Studi “Federico II” di Napoli, 80126 Naples, Italy
- INFN Napoli, 80126 Naples, Italy
- INAF-Astronomical Observatory of Capodimonte, Salita Moiariello 16, 80131 Naples, Italy
| | - M. Chen
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Y. Chen
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - B. T. Cleveland
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- SNOLAB, Lively, ON P3Y 1M3 Canada
| | - J. M. Corning
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - D. Cranshaw
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - S. Daugherty
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
| | - P. DelGobbo
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - K. Dering
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. DiGioseffo
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - P. Di Stefano
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - L. Doria
- PRISMA+ Cluster of Excellence and Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, 55128 Mainz, Germany
| | | | - M. Dunford
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - E. Ellingwood
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - A. Erlandson
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - S. S. Farahani
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | | | - G. Fiorillo
- Physics Department, Università degli Studi “Federico II” di Napoli, 80126 Naples, Italy
- INFN Napoli, 80126 Naples, Italy
| | - S. Florian
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - T. Flower
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - R. J. Ford
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- SNOLAB, Lively, ON P3Y 1M3 Canada
| | - R. Gagnon
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - D. Gallacher
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - P. García Abia
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - S. Garg
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - P. Giampa
- TRIUMF, Vancouver, BC V6T 2A3 Canada
| | - D. Goeldi
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - V. Golovko
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
| | - P. Gorel
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- SNOLAB, Lively, ON P3Y 1M3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - K. Graham
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - D. R. Grant
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - A. Grobov
- National Research Centre Kurchatov Institute, Moscow, 123182 Russia
- National Research Nuclear University MEPhI, Moscow, 115409 Russia
| | - A. L. Hallin
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - M. Hamstra
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - P. J. Harvey
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - C. Hearns
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - T. Hugues
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
| | - A. Ilyasov
- National Research Centre Kurchatov Institute, Moscow, 123182 Russia
- National Research Nuclear University MEPhI, Moscow, 115409 Russia
| | - A. Joy
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - B. Jigmeddorj
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
| | - C. J. Jillings
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- SNOLAB, Lively, ON P3Y 1M3 Canada
| | - O. Kamaev
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
| | - G. Kaur
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - A. Kemp
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX UK
| | - I. Kochanek
- INFN Laboratori Nazionali del Gran Sasso, 67100 Assergi, AQ Italy
| | - M. Kuźniak
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - M. Lai
- Physics Department, Università degli Studi di Cagliari, 09042 Cagliari, Italy
- INFN Cagliari, Cagliari, 09042 Italy
| | - S. Langrock
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - B. Lehnert
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Present Address: Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - A. Leonhardt
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - N. Levashko
- National Research Centre Kurchatov Institute, Moscow, 123182 Russia
- National Research Nuclear University MEPhI, Moscow, 115409 Russia
| | - X. Li
- Physics Department, Princeton University, Princeton, NJ 08544 USA
| | - J. Lidgard
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | | | - M. Lissia
- INFN Cagliari, Cagliari, 09042 Italy
| | - J. Lock
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - G. Longo
- Physics Department, Università degli Studi “Federico II” di Napoli, 80126 Naples, Italy
- INFN Napoli, 80126 Naples, Italy
| | - I. Machulin
- National Research Centre Kurchatov Institute, Moscow, 123182 Russia
- National Research Nuclear University MEPhI, Moscow, 115409 Russia
| | - A. B. McDonald
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - T. McElroy
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - T. McGinn
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. B. McLaughlin
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX UK
- TRIUMF, Vancouver, BC V6T 2A3 Canada
| | - R. Mehdiyev
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - C. Mielnichuk
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - J. Monroe
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX UK
| | - P. Nadeau
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - C. Nantais
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - C. Ng
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - A. J. Noble
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - E. O’Dwyer
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - G. Oliviéro
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - C. Ouellet
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - S. Pal
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - P. Pasuthip
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - S. J. M. Peeters
- University of Sussex, Sussex House, Brighton, East Sussex BN1 9RH UK
| | - M. Perry
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - V. Pesudo
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - E. Picciau
- Physics Department, Università degli Studi di Cagliari, 09042 Cagliari, Italy
- INFN Cagliari, Cagliari, 09042 Italy
| | - M.-C. Piro
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - T. R. Pollmann
- Department of Physics, Technische Universität München, 80333 Munich, Germany
- Present Address: Nikhef and the University of Amsterdam, Science Park, 1098 XG Amsterdam, The Netherlands
| | - E. T. Rand
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
| | - C. Rethmeier
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | | | - I. Rodríguez-García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - L. Roszkowski
- AstroCeNT, Nicolaus Copernicus Astronomical Center, Polish Academy of Sciences, Rektorska 4, 00-614 Warsaw, Poland
- BP2, National Centre for Nuclear Research, ul. Pasteura 7, 02-093 Warsaw, Poland
| | - J. B. Ruhland
- Department of Physics, Technische Universität München, 80333 Munich, Germany
| | - E. Sánchez-García
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - R. Santorelli
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, 28040 Madrid, Spain
| | - D. Sinclair
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - P. Skensved
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - B. Smith
- TRIUMF, Vancouver, BC V6T 2A3 Canada
| | - N. J. T. Smith
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- SNOLAB, Lively, ON P3Y 1M3 Canada
| | - T. Sonley
- SNOLAB, Lively, ON P3Y 1M3 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. Soukup
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - R. Stainforth
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - C. Stone
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - V. Strickland
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
| | - M. Stringer
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - B. Sur
- Canadian Nuclear Laboratories Ltd, Chalk River, ON K0J 1J0 Canada
| | - J. Tang
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - E. Vázquez-Jáuregui
- Department of Physics and Astronomy, Laurentian University, Sudbury, ON P3E 2C6 Canada
- Instituto de Física, Universidad Nacional Autónoma de México, A. P. 20-364, 01000 Mexico, D.F. Mexico
| | - S. Viel
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - J. Walding
- Royal Holloway University London, Egham Hill, Egham, Surrey TW20 0EX UK
| | - M. Waqar
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - M. Ward
- Department of Physics, Engineering Physics and Astronomy, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - S. Westerdale
- Department of Physics, Carleton University, Ottawa, ON K1S 5B6 Canada
- INFN Cagliari, Cagliari, 09042 Italy
| | - J. Willis
- Department of Physics, University of Alberta, Edmonton, AB T6G 2R3 Canada
| | - A. Zuñiga-Reyes
- Instituto de Física, Universidad Nacional Autónoma de México, A. P. 20-364, 01000 Mexico, D.F. Mexico
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Yao Y, Cai B, Xu LL, Wang JW. [Correlation between neck pressure pain threshold and forward head posture in patients with temporomandibular joint disorders]. Zhonghua Kou Qiang Yi Xue Za Zhi 2021; 56:759-763. [PMID: 34404141 DOI: 10.3760/cma.j.cn112144-20210312-00111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the association between neck muscles pressure pain thresholds (PPT) and forward head posture (FHP) in patients with temporomandibular disorders (TMD). Methods: A total of 145 TMD patients, including 23 males and 122 females with a median age of 28 years, were enrolled in the Department of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine from December 2019 to April 2020. Informations of FHP and neck muscles PPT were collected for all participants. FHP was characterized by the craniocervical angle (CVA) between C7, the tragus of the ear and the horizontal line. Each of the participants completed a questionaire of the neck disability index (NDI). The patients with CVA≤51 ° were asigned into FHP group, otherwise the patients with CVA>51° were asigned into non-FHP group. PPT were measured at the midpoint of the upper trapezius and 1 cm aside from C5-C6 articular pillars. Nonparametric test and Spearman correlation analysis were conducted for the data analysis. Results: There were 70 patients in the FHP group and 75 patients in the non-FHP group. The trapezius PPT of the FHP group [2.82(0.86) kg] was significantly higher than that of the non-FHP group [2.46(0.80) kg] (P<0.01). No significant differences in PPT and NDI were observed between the two groups (P>0.05). Low correlation was found between trapezius PPT and FHP negatively (r=-0.273, P<0.01) and no correlation was found between C5-C6 PPT and FHP (r=-0.124, P>0.05). PPT in trapezius and C5-C6 was negatively correlated with NDI in moderate (r=-0.301, P<0.01) and low (r=-0.206, P<0.05) levels. Conclusions: The trapezius PPT was correlated with FHP negatively. The more FHP, the more pain tolerant of trapezius muscles. There was no correlation between neck function and FHP directly. The higher threshold was followed by better neck function.
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Affiliation(s)
- Y Yao
- Department of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China
| | - B Cai
- Department of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China
| | - L L Xu
- Department of Rehabilitation Medicine, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China
| | - J W Wang
- Department of Orthopedics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200001, China
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Cai B. P–797 A novel method for establishing human embryonic stem cells independent of feeder cells. Hum Reprod 2021. [DOI: 10.1093/humrep/deab130.796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Is there a efficient establishing method of human embryonic stem cells directly from the human blastocysts independent of feeder cells?
Summary answer
We established a novel method of generating human embryonic stem cells directly from human blastocysts independent of feeder layer cells.
What is known already
Establishing embryonic stem cells lines mainly needed to coculture ICM clumps with feeder cells (like mouse or human fibroblasts) ,this brought in potential heterogeneous pollution.Although there had be some reports about generating human ESCs independent of feeder cells,but the efficiency was low and conditioned medium were unstable and also had the biological contamination.
Study design, size, duration
We used ten day5/6 donated human blastocysts from our reproductive center ,most of them were genetically diseased embryos with abnormal PGT diagnosis.After establishing ESCs procedure , all the cell lines were identified with pluripotency and differentiation potential tests.The success rate of system was calculated and compared with the conventional methods.
Participants/materials, setting, methods
In brief, ICM clumps were separated mechanically by using a micromanipulation system,and then transferred to a 30ul mTESR plus culture media drop pretreated with the geltrex (1:100 dilution) matrix and oxygen concentration was 5%. When cells attached and migrated,we also used laser to destroy the remaining trophoblast cells.About 10 days,the typical ES clone can be mechanically passaged and cells can be cultured in normal oxygen concentrations after passage 2. .
Main results and the role of chance
Using this method we had successfully established nine embryonic stem cell lines from donated human blastocysts ,the success rate was 90% (9/10). Each cell lines had passed the evaluation test of embryonic stem cell. When compared with the conventional feeder cells dependent method,our novol methods not only eliminated the pollution from heterogeneous cells,but also had higher success rate (90% vs 25%).
Limitations, reasons for caution
Due to the scarcity of donated human blastocysts, this experiment was a single-center experiment with small samples.
Wider implications of the findings: We speculated that the batch differences of culture dishes, matrix and culture medium might affect the establish efficiency , and how to carry out a high level of quality control work might be the key factor to keep the system stable.
Trial registration number
basic research
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Affiliation(s)
- B Cai
- First Affiliated Hospital of SunYat-sen University, reproductive medicine center, Guangzhou-Guangdong, China
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27
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Cai B. P-797 A novel method for establishing human embryonic stem cells independent of feeder cells. Hum Reprod 2021. [DOI: 10.1093/humrep/deab128.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Study question
Is there a efficient establishing method of human embryonic stem cells directly from the human blastocysts independent of feeder cells?
Summary answer
We established a novel method of generating human embryonic stem cells directly from human blastocysts independent of feeder layer cells.
What is known already
Establishing embryonic stem cells lines mainly needed to coculture ICM clumps with feeder cells (like mouse or human fibroblasts), this brought in potential heterogeneous pollution. Although there had be some reports about generating human ESCs independent of feeder cells, but the efficiency was low and conditioned medium were unstable and also had the biological contamination.
Study design, size, duration
We used ten day5/6 donated human blastocysts from our reproductive center, most of them were genetically diseased embryos with abnormal PGT diagnosis. After establishing ESCs procedure, all the cell lines were identified with pluripotency and differentiation potential tests. The success rate of system was calculated and compared with the conventional methods.
Participants/materials, setting, methods
In brief, ICM clumps were separated mechanically by using a micromanipulation system,and then transferred to a 30ul mTESR plus culture media drop pretreated with the geltrex (1:100 dilution) matrix and oxygen concentration was 5%. When cells attached and migrated,we also used laser to destroy the remaining trophoblast cells. About 10 days,the typical ES clone can be mechanically passaged and cells can be cultured in normal oxygen concentrations after passage 2..
Main results and the role of chance
Using this method we had successfully established nine embryonic stem cell lines from donated human blastocysts, the success rate was 90% (9/10). Each cell lines had passed the evaluation test of embryonic stem cell. When compared with the conventional feeder cells dependent method,our novol methods not only eliminated the pollution from heterogeneous cells,but also had higher success rate (90% vs 25%).
Limitations, reasons for caution
Due to the scarcity of donated human blastocysts, this experiment was a single-center experiment with small samples.
Wider implications of the findings
We speculated that the batch differences of culture dishes, matrix and culture medium might affect the establish efficiency, and how to carry out a high level of quality control work might be the key factor to keep the system stable.
Trial registration number
basic research
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Affiliation(s)
- B Cai
- First Affiliated Hospital of SunYat-sen University, reproductive medicine center, Guangzhou-Guangdong, China
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Cai B, Ma L, Meng L, Mo J, Xu S, Qu B, Liu F. PO-0975 ICT Plus Simultaneous Modulated Accelerated Radiation Therapy in Non-operative SCCH/L. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07426-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Xia X, Liu Z, Cai B, Di X, Sun X, Ge X. A comparison between raltitrexed plus cisplatin and docetaxel plus cisplatin in concurrent chemoradiation for non-surgical esophageal squamous cell carcinoma. Cancer Radiother 2021; 25:39-44. [PMID: 33419607 DOI: 10.1016/j.canrad.2020.06.029] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/29/2020] [Accepted: 06/07/2020] [Indexed: 01/04/2023]
Abstract
PURPOSE Chemoradiotherapy (CRT) is considered as a standard treatment for unresectable and inoperable esophageal cancer (EC) patients. However, no consensus has been reached regarding the optimal synchronous chemotherapy regimen and the best combination of radiotherapy and chemotherapy. The aim of this study was to evaluate the efficacy and toxicity of raltitrexed plus cisplatin and docetaxel plus cisplatin to find a safe and effective concurrent chemotherapy schedule. PATIENTS AND METHODS Our retrospective study included 151 EC patients treated with raltitrexed and cisplatin (RP) (n=90) or docetaxel and cisplatin (DP) (n=61) from 2011 till 2018. Survival outcomes and treatment related toxicity were analyzed between the two groups. RESULTS PFS and OS were 18 and 34 months in the RP group, while 13 and 20 months in the DP group (P=0.118 and P=0.270). The 1-, 2-, 3-year survival rates of the RP group were 71.1, 55.4 and 46.4%. For the DP group, these were 63.9, 44.3 and 37.6%, respectively. Compared with DP group, RP group received a superior CR rate (68.9% versus 52.5%, P=0.041). There was a trend that the total number of toxic reactions in RP group was lower than that in DP group (P=0.058). CONCLUSIONS Even RP and DP groups have the similar survival outcomes and toxicity, raltitrexed/cisplatin get a higher complete response rate. Our study suggests that raltitrexed combined with cisplatin is a safe and effective concurrent chemotherapy regimen and it might be used as an alternative for cisplatin/5-FU and cisplatin/docetaxel in CCRT for EC patients.
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Affiliation(s)
- X Xia
- Department of Radiation Oncology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300, Guangzhou Road, Nanjing, Jiangsu, China
| | - Z Liu
- Department of Radiation Oncology, school of Nanjing Medical University, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300, Guangzhou Road, Nanjing, Jiangsu, China
| | - B Cai
- Department of Medicine Research, Chinese Academy of Medical Sciences & Peking Union Medical College Hospital of Skin Diseases and Institute of Dermatology, 12, Jiangwang Temple Street, Nanjing, Jiangsu, China
| | - X Di
- Department of Radiation Oncology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300, Guangzhou Road, Nanjing, Jiangsu, China
| | - X Sun
- Department of Radiation Oncology, school of Nanjing Medical University, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300, Guangzhou Road, Nanjing, Jiangsu, China.
| | - X Ge
- Department of Radiation Oncology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, 300, Guangzhou Road, Nanjing, Jiangsu, China.
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Cai B, Fulcher N, Boyd M, Spira A. CP01.05 Relapse Rate and Associated Healthcare Resource Utilization in Stage IIA-IIIB Adjuvant NSCLC Patients Treated in a US Oncology Community Network. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2020.10.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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31
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Velarde A, Najera K, Gay H, Powderly W, Mutic S, Green J, Michalski J, Henke L, De Falla V, Laugeman E, Catu M, Hugo G, Cai B, van Rheenen J. Transitioning from Old Cobalt-60 Teletherapy to Modern Linac Radiotherapy in a Lower-Middle Income Country Guatemala. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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32
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Yang D, Kim H, Green O, Henke L, Gu B, Cai B, Cammin J, Li H. Co-60 MR Guided Adaptive Radiation Treatment Improves Target Coverage and Organs-At-Risk Sparing: Dosimetric Analysis of 1185 Adaptive Fractions and 5 Years’ Experience. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.718] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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33
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Reynoso F, Pryser E, Hugo G, Cai B, Abraham C, Henke L, Huang J, Perkins S, Robinson C. Semi-Automated Hippocampal Sparing Avoidance Whole-Brain Radiotherapy Using a Commercially Available Artificial Intelligence Toolkit. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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34
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Cai B, Laugeman E, Hao Y, Kim T, Pryser E, Jiang Z, Green O, Price A, Kim H, Robinson C, Mutic S, Hugo G, Henke L. Evaluation and Validation of Artificial Intelligence (AI) Delineation Models for CBCT-guided Stereotactic Online Adaptive Radiotherapy (STAR) Targeting Upper Abdominal Malignancies. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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35
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Zhao T, Henke L, Kim H, Robinson C, Hugo G, Mutic S, Cai B. Feasibility of Expediting Radiotherapy Clinical Workflow by Planning on Diagnostic Images and Adapting on a Commercial Adaptive Radiotherapy System. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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36
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Najera K, Velarde A, Mutic S, van Rheenen J, Cai B, Laugeman E, Catu M, Hugo G, Henke L, Gay H, De Falla V. Implementation of a Modern Standardized Commissioning – An International Collaboration to Install an Advanced Ring Gantry LINAC in Clinical Mode in a Lower Income Country. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.2510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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37
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Henke L, Green O, Price A, Marko A, Wittland E, Kim H, Pryser E, Laugeman E, Mutic S, Hugo G, Cai B. Feasibility of AI-assisted CBCT-guided Stereotactic Online Adaptive Radiotherapy (CT-STAR) for Upper Abdominal SBRT: Results of a Prospective in Silico Clinical Trial. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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38
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Aharmim B, Ahmed S, Anthony A, Barros N, Beier E, Bellerive A, Beltran B, Bergevin M, Biller S, Blucher E, Bonventre R, Boudjemline K, Boulay M, Cai B, Callaghan E, Caravaca J, Chan Y, Chauhan D, Chen M, Cleveland B, Cox G, Dai X, Deng H, Descamps F, Detwiler J, Doe P, Doucas G, Drouin PL, Dunford M, Elliott S, Evans H, Ewan G, Farine J, Fergani H, Fleurot F, Ford R, Formaggio J, Gagnon N, Gilje K, Goon J, Graham K, Guillian E, Habib S, Hahn R, Hallin A, Hallman E, Harvey P, Hazama R, Heintzelman W, Heise J, Helmer R, Hime A, Howard C, Huang M, Jagam P, Jamieson B, Jelley N, Jerkins M, Keeter K, Klein J, Kormos L, Kos M, Kraus C, Krauss C, Krüger A, Kutter T, Kyba C, Labe K, Land B, Lange R, LaTorre A, Law J, Lawson I, Lesko K, Leslie J, Levine I, Loach J, MacLellan R, Majerus S, Mak H, Maneira J, Martin R, Mastbaum A, McCauley N, McDonald A, McGee S, Miller M, Monreal B, Monroe J, Nickel B, Noble A, O’Keeffe H, Oblath N, Okada C, Ollerhead R, Orebi Gann G, Oser S, Ott R, Peeters S, Poon A, Prior G, Reitzner S, Rielage K, Robertson B, Robertson R, Schwendener M, Secrest J, Seibert S, Simard O, Sinclair D, Skensved P, Sonley T, Stonehill L, Tešić G, Tolich N, Tsui T, Van Berg R, VanDevender B, Virtue C, Wall B, Waller D, Wan Chan Tseung H, Wark D, Wendland J, West N, Wilkerson J, Wilson J, Winchester T, Wright A, Yeh M, Zhang F, Zuber K. Search for
hep
solar neutrinos and the diffuse supernova neutrino background using all three phases of the Sudbury Neutrino Observatory. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.062006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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39
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Cai B, Tan J, Lin Z, Xuan J. PCV12 Radiofrequency Catheter Ablation Using Thermocool Smarttouch with or without Ablation INDEX (AI) Guided Versus the 2ND-Generation Cryoballoon for the Treatment of Atrial Fibrillation in China: A Cost- Effectiveness Analysis. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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40
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Yang L, Cai B, Xue JR, Jiang P, Guo XZ. [Clinical effects of individualized free anterolateral thigh flap in repairing complex refractory wound]. Zhonghua Shao Shang Za Zhi 2020; 36:730-734. [PMID: 32829614 DOI: 10.3760/cma.j.cn501120-20190621-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the clinical effects of individualized free anterolateral thigh flap in repairing complex refractory wound. Methods: From July 2015 to May 2019, 19 patients with complex refractory wounds were hospitalized in Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, including 12 males and 7 female, aged 13-67 years. There were 5 patients with multiple tissue defects, 7 patients with large area of wounds, and 7 patients with wounds in special areas. The sizes of wounds after complete debridement were 8 cm×5 cm-23 cm×7 cm. According to the repair demand, the wounds in 5 patients were repaired with anterolateral thigh flaps and flow-through, the wounds in 7 patients were repaired with anterolateral thigh flaps chimed with lateral thigh muscle flaps, with vascular anastomosis in 2 patients, the wounds in 6 patients were repaired with unilateral anterolateral thigh lobulated flaps, and the wound in 1 patient was repaired with bilateral anterolateral thigh flap in series connection. The sizes of flaps were 10 cm×7 cm-25 cm×9 cm. The donor sites were sutured directly or repaired with thin split-thickness skin graft of head. The survival of the flaps, the appearance of the donor sites, and wounds repair after the operation and during follow-up were observed. Results: The lobulated flap in 1 patient had local necrosis after the operation and finally healed by debridement, dressing change, and transplanting medium split-thickness skin graft in groin. The flaps in 18 patients survived with good blood supply, and the lobulated flap tissue was swollen in 1 of 18 patients. The donor sites which were directly sutured in 18 patients only had linear scar, and the donor site which was repaired with thin split-thickness skin graft of head in 1 patient had flaky scar. Follow-up of 1-12 months showed that all the wounds healed well, the flap thinning operations were performed in 5 patients in 3 months post operation because the flaps were slightly bloated. The CT angiography after the operation showed that the anastomosed blood vessels were unobstructed in 7 patients with reconstructed local blood supply. Conclusions: The special forms of anterolateral thigh flap, such as lobulation, series connection, and chimerism can be designed according to the anatomical characteristics of the descending branch of the lateral femoral artery to meet individualized repair demand for complex refractory wounds, and achieve the double purposes of making full use of the donor site tissue and good repair of the recipient site.
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Affiliation(s)
- L Yang
- Department of Burns and Plastic Surgery, Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin 537000, China
| | - B Cai
- Department of Burns and Plastic Surgery, Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin 537000, China
| | - J R Xue
- Department of Burns and Plastic Surgery, Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin 537000, China
| | - P Jiang
- Department of Burns and Plastic Surgery, Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin 537000, China
| | - X Z Guo
- Department of Burns and Plastic Surgery, Yulin NO.1 People's Hospital of Guangxi Zhuang Autonomous Region, Yulin 537000, China
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Chen Y, Zong C, Jia J, Liu Y, Zhang Z, Cai B, Tian L. A study on the protective effect of molecular hydrogen on osteoradionecrosis of the jaw in rats. Int J Oral Maxillofac Surg 2020; 49:1648-1654. [PMID: 32451233 DOI: 10.1016/j.ijom.2020.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 03/04/2020] [Accepted: 04/20/2020] [Indexed: 12/11/2022]
Abstract
The aim of this study was to investigate the protective effect of hydrogen in a rat model of osteoradionecrosis of the jaw (ORNJ). The rats and bone marrow-derived mesenchymal stem cells (BMSCs) were pre-treated with hydrogen before receiving irradiation (7Gy per fraction, five fractions in total once a day for rats, 4Gy for BMSCs). Reactive oxygen species (ROS) and cell differentiation were measured in the BMSCs. Also, the radioprotective effect of hydrogen for ORNJ in Sprague-Dawley rats was examined by gross clinical manifestations, micro-computed tomography, and histology. Hydrogen significantly reduced the production of ROS in BMSCs after irradiation. The cell viability was significantly decreased after irradiation (P= 0.001), but pre-treatment with hydrogen before irradiation increased the cell viability (P= 0.025). Hydrogen considerably increased the cellular differentiation potential of the irradiated cells. Comparing with the rats underwent irradiaton only, those rats treated by hydrogen-rich saline significantly appeared improved occlusion, salivation, alopecia, oral ulcer, and less bone necrosis. Myofibroblasts accumulated overwhelmingly in the fibrosis medulla and around the sequestrum after irradiation, and this was decreased in the group pre-treated with hydrogen. Hydrogen may represent a strategy for the prevention and treatment of ORNJ. Its high efficacy and low toxicity suggest possible therapeutic application.
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Affiliation(s)
- Y Chen
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, and Department of Oral and Maxillofacial Surgery, School of Stomatology, the Fourth Military Medical University, Xi'an, China; State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - C Zong
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, and Department of Oral and Maxillofacial Surgery, School of Stomatology, the Fourth Military Medical University, Xi'an, China; State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - J Jia
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - Y Liu
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, and Department of Oral and Maxillofacial Surgery, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - Z Zhang
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - B Cai
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, and Department of Oral and Maxillofacial Surgery, School of Stomatology, the Fourth Military Medical University, Xi'an, China; State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, School of Stomatology, the Fourth Military Medical University, Xi'an, China
| | - L Tian
- State Key Laboratory of Military Stomatology and National Clinical Research Centre for Oral Diseases, and Department of Oral and Maxillofacial Surgery, School of Stomatology, the Fourth Military Medical University, Xi'an, China.
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Dong SR, Jiang J, Wang YJ, Li CL, Shi Y, Yang Y, Yang Y, Li LH, Cai B, You JB, Jiang F, Jiang QW, Zhou YB. [Impact of water body environments on the microbial community of Oncomelania hupensis snails in marshlands around the eastern Dongting Lake]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2020; 32:132-139. [PMID: 32458601 DOI: 10.16250/j.32.1374.2019202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To evaluate the effects of water body environments on the microbial community of Oncomelania hupensis snails in marshlands of the eastern Dongting Lake where natural extinction of O. hupensis snails are found, so as to explore the correlation between the natural extinction of O. hupensis snails and the microbial community in snails. METHODS Snails were caged water bodies in the Qianliang Lake marshland (Qianliang Lake regions) where natural extinction of snails was found and in the Junshan Park marshland (Junshan Park regions) in the eastern Dongting Lake for 30 days, and then all snails were collected and identified for survival or death. DNA sequencing of the fungi and bacteria was performed in snails before and after immersion in waters, and the biodiversity and abundance were analyzed. RESULTS The survival rates of O. hupensis snails were 28.0% (70/250) and 64.8% (162/250) in Qianliang Lake regions and Junshan Park regions 30 days after immersion in waters, respectively (χ2 = 81.365, P < 0.01). The number of the fungal community and the biodiversity of the bacterial community were both greater in snails caged in Qianliang Lake regions post-immersion than pre-immersion, and there was a significant difference in the structure of the fungal and bacterial communities. The microbial community with a significant difference included Flavobacteriaceae,which was harmful to O. hupensis snails. CONCLUSIONS The water body environment affects the composition of the microbial community in O. hupensis snails in marshlands with natural snail distinction around the eastern Dongting Lake; however, further studies are required to investigate whether the natural distinction of snails is caused by water body environments-induced changes of the microbial spectrum in O. hupensis snails.
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Affiliation(s)
- S R Dong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Jiang
- Junshan District Station for Schistosomiasis Control, Yueyang City, Hunan Province, China
| | - Y J Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - C L Li
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Shi
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Yang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Yang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - L H Li
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - B Cai
- Junshan District Station for Schistosomiasis Control, Yueyang City, Hunan Province, China
| | - J B You
- Qianlianghu Station for Schistosomiasis Control, Yueyang City, Hunan Province, China
| | - F Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q W Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y B Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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Mao AY, Shi JF, Qiu WQ, Liu CC, Dong P, Huang HY, Wang K, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ. [Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:54-61. [PMID: 31914570 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion: From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.
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Affiliation(s)
- A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control,Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010,China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Wang K, Liu CC, Mao AY, Shi JF, Dong P, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Chen WQ, Qiu WQ, Dai M. [Analysis on the demand, access and related factors of cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:84-91. [PMID: 31914574 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the demand and access to the cancer prevention and treatment knowledge and related factors among urban residents in China from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of general demographic characteristics, the demand and access to cancer prevention and treatment knowledge, and the influencing factors of the attitude. The Chi-square test was used to analyze the difference of the demand of the cancer prevention knowledge among different groups and the corresponding factors of the cancer prevention and treatment knowledge were analyzed by using the logistic regression model. Results: The proportion of residents who need the cancer prevention and treatment knowledge was 79.5%. The demand rate of the inducement, symptom and diagnosis methods of cancer in the occupational population was highest, about 66.8%, 71.0% and 20.8%, respectively. The demand rate of treatment methods and cost in current cancer patients was the highest, about the 45.9% and 21.9%, respectively. The top three sources to acquire the cancer prevention and treatment knowledge were "broadcast or television" (69.5%), "books, newspapers, posters or brochures" (44.7%) and "family and friends" (33.8%). The multivariate analysis showed that compared with public institution personnel/civil servants, unmarried/cohabiting/divorced/widowed and others, annual household income less than 20 000 CNY, from the eastern region, people without cancer diagnosis and people with self-assessment of cancer risk, the demand rate of cancer prevention and treatment knowledge was higher in enterprise personnel/workers, married, annual household income between 60 000 CNY and 150 000 CNY, from the central region, people with cancer and people with unclear cancer risk (all P values <0.05). Conclusion: There was a high demand for the cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017. The main access to the knowledge is from the radio or television. The occupation, marital status, annual household income, residential region, health status and risk of disease were the main factors of the demand of the cancer prevention and treatment knowledge.
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Affiliation(s)
- K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Liu CC, Shi CL, Shi JF, Mao AY, Huang HY, Dong P, Bai FZ, Chen YS, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Xu WH, Qiu WQ, Dai M, Chen WQ. [Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:47-53. [PMID: 31914569 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion: The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.
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Affiliation(s)
- C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C L Shi
- Department of Disease Control and Prevention, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y S Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Scholl of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital/Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W H Xu
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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46
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Dong P, Shi JF, Qiu WQ, Liu CC, Wang K, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Mao AY, He J. [Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:76-83. [PMID: 31914573 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion: The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.
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Affiliation(s)
- P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Li HC, Wang K, Yuan YN, Mao AY, Liu CC, Liu S, Yang L, Huang HY, Dong P, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Wang N, Qiu WQ, Shi JF. [Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:69-75. [PMID: 31914572 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion: Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.
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Affiliation(s)
- H C Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - Y N Yuan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Officeof Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Henke L, Hilliard J, Morris R, Robinson C, Michalski J, Mutic S, Hugo G, Cai B. Plan Performance Using a Prototype Auto-Planning Workflow within a Novel Treatment Planning System. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Henke L, Cai B, Rudra S, Fischer-Valuck B, Samson P, Srivastava A, Gabani P, Roach M, Laugeman E, Luo J, Wan L, Hugo G, Kim H. Novel kV CBCT Imager on Ring Gantry Radiotherapy Unit Permits High Inter-rater Contour Uniformity. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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O'Grady F, Barsky A, Anamalayil S, Freedman G, Kennedy C, Cai B, Laugeman E, Dong L, Hugo G, Metz J, Mutic S, Taunk N, Li T. Increase in Superficial Dose in Whole-Breast Irradiation with O-Ring Straight-through 6X FFF Linac Compared to Traditional C-arm Linac with Flattening Filter: In-vivo Dosimetry and Planning Study. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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