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Shi M, Simiele EA, Han B, Pham D, Palomares P, Aguirre M, Gensheimer MF, Vitzthum L, Surucu M, Kovalchuk N. First-Year Experience of IMRT/SBRT Treatments Using a Novel Biology-Guided Radiation Therapy System. Int J Radiat Oncol Biol Phys 2023; 117:e717. [PMID: 37786094 DOI: 10.1016/j.ijrobp.2023.06.2222] [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) This study presents the first-year experience of treating patients using intensity-modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT) with the X1 system, the first biology-guided radiation therapy (BgRT) machine installed in a clinical setting. MATERIALS/METHODS A total of 78 patients underwent IMRT and SBRT treatments on the X1 system from May 2021 to May 2022. Clinical and technical data, such as treatment sites, number of pre-treatments kVCT scans, beam on time, patient setup time, imaging time per kVCT, and couch shifts after kVCT match, were collected and analyzed. Additionally, daily machine output stability, patient-specific quality assurance (QA) results, machine uptime, and user survey were also documented and reported. RESULTS The most commonly treated site was the head and neck (63%), followed by the pelvis (23%), thorax (6%), and abdomen (8%). All treatments, except for 5 pelvis patients (6%) who received SBRT treatments for bony metastases, were conventionally fractionated IMRT (CF IMRT). The average number of kVCT scans per fraction is 1.2 ± 0.5 for all treatments. The average beam on time in minutes was 9.2 ± 3.5 for all treatments, 8.4 ± 2.4 for head and neck, 6.7 ± 1.3 for thorax, 10.3 ± 1.6 for abdomen, 11.6 ± 5.1 for CF IMRT pelvis, and 10.8 ± 5.3 for SBRT pelvis. The average patient setup time and imaging time per kVCT was 4.8 ± 2.6 minutes and 4.6 ± 1.5 minutes, respectively. The average couch corrections based on kVCT images were 0.4 ± 4.4 mm, 1.0 ± 4.5 mm, and 1.3 ± 4.3 mm along the x, y, and z direction, respectively; the average couch rotation corrections were 0.1 ± 0.9° for pitch, 0.0 ± 0.9° for roll, and 0.2 ± 1.2° for yaw. The daily machine output was 0.4 ± 1.2% from the baseline. The patient QA had a gamma passing rate of 97.4 ± 2.8%. The machine uptime was 92% of the total treatment time. The kVCT image quality and daily QA process received the highest level of satisfaction, while the treatment workflow for therapists received the lowest level of satisfaction (table 1). CONCLUSION At one year after the installation of the X1 system, this study reports successful treatment of 78 patients using IMRT/ SBRT. With the recent FDA clearance of BgRT, our institution is preparing to treat patients using PET-guidance via a new product release, which should address deficiencies in the current IGRT workflow.
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Affiliation(s)
- M Shi
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA; Department of Radiation Oncology, University of California Irvine School of Medicine, Orange, CA
| | - E A Simiele
- University of Alabama at Birmingham, Birmingham, AL
| | - 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
| | - P Palomares
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Aguirre
- 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
| | - L Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Pham D, Wang JY, Kidd EA, Wen Z, Smith LM, Lyu Q, Boudet J, Bessieres I, Hristov DH. Fixed-Field IMRT for Cervix Carcinoma Patients on an MR-LINAC Platform: Dosimetric Feasibility and Challenges. Int J Radiat Oncol Biol Phys 2023; 117:e538. [PMID: 37785663 DOI: 10.1016/j.ijrobp.2023.06.1828] [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) To investigate the impact of MR-LINAC performance characteristics and inverse planning implementation on the feasibility of fixed-field IMRT for cervix carcinoma patients by benchmarking MR-LINAC plans against clinically used VMAT plans in a single institution study and multi-institutional treatment planning challenge. MATERIALS/METHODS For 10 cervix cancer patients who had previously received Linac-based VMAT, new treatment plans were optimized for MR-LINAC IMRT using 6X FFF fixed fields with maximum available field size of 27.4 x 24.1 cm2. Dose optimization was performed on the clinically used planning CT and structure set. Prescribed dose was 48.6 Gy in 27 fractions for all patients with 6 patients receiving an additional integrated boost for a total of 58.05 Gy to involved nodes. Constraints were based on our institutional protocol as per Table 1. IMRT delivery time was limited to 20 min. Original clinically used VMAT plans were generated on Eclipse (Varian Medical System) using 3 to 4 arcs. For the multi-institutional planning challenge, the data set from a single patient was anonymized and shared to participants. Participants used a single MR-based Linac planning platform to generate a plan based on our institutional constraints, with maximum treatment time limited to 20 min. For all analyses, a paired samples t-test was used to compare the significance defined at p < 0.05. RESULTS For MR-LINAC plans, the mean number of fields used was 23, mean number of segments 229, and the average estimated treatment delivery time was 17.3 minutes. MR-LINAC plans showed a significantly higher heterogeneity and dose to organs at risk compared to VMAT plans (Table 1). For the planning challenge, a total of 30 participants registered interest. Of this, seven plans were submitted to the challenge. On average, participants generated a plan that would be acceptable based on our institutional constraints (Table 1). However, the volumetric dose to bowel and pelvic bones were higher on MR-LINAC plans compared to the reference VMAT plan. CONCLUSION MR-LINAC fixed-field IMRT for cervix cancer patients is feasible but system constraints and optimization implementation result in greater dose heterogeneity and worse organ-at-risk sparing compared to Linac based VMAT. Further research is needed to determine if potential reduction of treatment margins, allowed by better MRI soft-tissue visualization, will result in MR-LINAC IMRT superior to Linac VMAT.
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Affiliation(s)
- D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Y Wang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - E A Kidd
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA
| | - Z Wen
- Hoag Memorial Hospital Presbyterian, Newport Beach, CA
| | - L M Smith
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - Q Lyu
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA
| | - J Boudet
- Centre Georges-François Leclerc, Dijon, France
| | - I Bessieres
- Centre Georges-François Leclerc, Dijon, France
| | - D H Hristov
- Department of Radiation Oncology, Stanford University School of Medicine, Palo Alto, CA
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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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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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5
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Wu YF, Lau B, Fu J, Cui S, Pham D, Dubrowski P, Eswarappa S, Zgrabik J, Candow L, Skinner L, Shirato H, Taguchi H, Gensheimer MF, Gee HE, Diehn M, Chin AL, Loo BW, Vitzthum L. Predicting Local Control with Dosimetric Parameters in Patients Receiving Individualized Stereotactic Ablative Radiotherapy for Lung Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e76. [PMID: 37786175 DOI: 10.1016/j.ijrobp.2023.06.814] [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) Stereotactic ablative radiotherapy (SABR) is an effective treatment option for lung tumors. The individualized lung tumor SABR (iSABR) trial was a phase II single-arm study that personalized lung tumor SABR dose and fractionation based on tumor size, location, and histology with very low rates of local recurrence (LR). A secondary analysis of this trial was conducted to assess for potential dosimetric predictors of LR, in order to help guide future clinical treatment planning. MATERIALS/METHODS From 2011 to 2018, local, regional and distant recurrence data were prospectively collected from 204 patients (261 lung SABR treatments) enrolled in a prospective trial. Baseline characteristics and treatment details were evaluated. Dosimetric and treatment plan parameters were evaluated for their potential to predict LR, using logistic regression and chi-squared analyses. RESULTS The majority of treated tumors were peripheral (71%, vs 29% central), primary lesions (76%, versus 24% metastatic), and of adenocarcinoma histology (67%, versus 13% squamous cell carcinoma and 19% other). The median follow-up was 24 months (range 2-95). Twenty-seven (10.3%) LRs occurred, with a median time to LR of 15 months (range 6-81 months). There were no significant associations between the overall cohort and the dosimetric parameters. However, for the multi-fraction cohort, an increased proportion of the PTV receiving 110% and 115% of the prescription dose were associated with lower LR (p = 0.01 and p = 0.01 respectively). Specifically for the 50 Gy in 4 fraction cohort, an increased D1cc, D0.03cc, as well as the proportion of the PTV receiving 110%, 115%, and 120% of the prescription dose were associated with lower LR (p < 0.001, p = 0.001, p = 0.003, p < 0.001, p = 0.004, respectively). There was no association of LR with prescription dose expressed as biologically effective dose using an alpha/beta of 10 Gy (BED10), D99%, or single- versus multi-fraction regimens. CONCLUSION SABR for lung tumors using the individualized protocol on this trial showed excellent LR rates. We identified dosimetric parameters that were associated with LR, including V110% and V115% within the multi-fraction cohort, as well as the 50 Gy in 4 fraction cohort the D1cc, D0.03cc, and proportions of the PTV receiving 110%, 115%, and 120% of the prescription dose in the 50 Gy in 4 fraction cohort. Optimal thresholds for these parameters will be identified in further analyses. There did not appear to be an association with LR and BED10, D99%, or comparing single- vs multi-fraction regimens.
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Affiliation(s)
- Y F Wu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Cui
- University of Michigan, Ann Arbor, Ann Arbor, MI
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - P Dubrowski
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | | | | | - L Candow
- MIM Software Inc., Beachwood, OH
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - H Shirato
- Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - H Taguchi
- Obihiro Kosei Hospital, Obihiro, Japan
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - H E Gee
- Children's Medical Research Institute, Sydney, Australia
| | - M Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - A L Chin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B W Loo
- 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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Wang JY, Chen Y, Pham D, Lewis J, Beadle BM, Gensheimer MF, Le QT, Gu X, Xing L. Prospective Clinical Adoption of Artificial Intelligence for Organ Contouring in Head and Neck Radiation Treatment Planning. Int J Radiat Oncol Biol Phys 2023; 117:e490-e491. [PMID: 37785549 DOI: 10.1016/j.ijrobp.2023.06.1721] [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) Patients that undergo head and neck (H&N) radiation therapy (RT) require laborious delineation of organs-at-risk (OARs) on computed tomography (CT) scans in a treatment planning system (TPS) to minimize radiation to normal tissue. This task can be completed rapidly and accurately with recently developed artificial intelligence-based semantic segmentation models. The current study aims to deploy and evaluate a strategy for improving clinical practice with this technology. MATERIALS/METHODS Deep learning models were trained and tested with CT scans and OAR contours from previous H&N RT cases at our clinic. Two medical physicists vetted the models and selected a 2.5D U-Net for further implementation. The model was embedded in a dedicated server at the hospital, programmed to read H&N CT scans staged for import into the TPS, generate auto-contours, and write them into a TPS-compatible format made available alongside the scan. In the pilot implementation, the auto-contouring service was utilized for more than 60 cases, prospectively. The auto-contours were quantitatively evaluated against the treatment-approved contours to determine how much modification was performed by the clinical team. RESULTS The 2.5D U-Net selected for clinical integration segments 21 OARs in less than 3 minutes per scan. Across all the prospective cases, the mean Dice score and mean 95th percentile Hausdorff distance (mm) between the auto-contour and treatment-approved contour for each of the 21 OARs were as follows, respectively: brainstem (0.93, 1.94), optic chiasm (0.70, 2.96), left cochlea (0.69, 2.37), right cochlea (0.68, 2.44), esophagus (0.88, 2.46), left globe (0.93, 1.50), right globe (0.93, 1.63), glottis (0.91, 2.13), larynx (0.93, 2.76), mandible (0.90, 4.86), left optic nerve (0.78, 1.64), right optic nerve (0.82, 1.65), oral cavity (0.86, 8.46), left parotid gland (0.91, 2.78), right parotid gland (0.91, 2.39), pharynx (0.85, 2.39), spinal cord (0.87, 2.27), left submandibular gland (0.85, 3.46), right submandibular gland (0.83, 3.69), left temporal lobe (0.94, 2.20), and right temporal lobe (0.95, 2.09). The auto-contours for the optic chiasm, optic nerves, cochleas, and submandibular glands differed substantially from the final contours, a finding corroborated by the clinical team; the rest were clinically acceptable with minor or no edits necessary. CONCLUSION The proposed strategy provides a sophisticated starting point for treatment planning that has garnered overall favorable feedback from the participating radiation oncologists and dosimetrists. Consequently, the technique is being extended to other treatment sites.
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Affiliation(s)
- J Y Wang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Y Chen
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Lewis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B M Beadle
- 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
| | - Q T Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Stephens A, Pham D, No HJ, Raja N, Lozko Y, Binkley MS, Vitzthum L. Comparison of Plan Quality Metrics after Left Anterior Descending Coronary Artery Sparing in VMAT Esophageal Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e706. [PMID: 37786067 DOI: 10.1016/j.ijrobp.2023.06.2197] [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) Cardiotoxicity is a significant late effect of esophageal radiotherapy (RT). Mean heart dose has been implicated with major adverse cardiac events (MACE) and emerging evidence increases MACE association with left anterior descending (LAD) coronary artery specific dose. This retrospective planning study investigates the dosimetric impact of including the LAD as an OAR-sparing objective for VMAT-based plan optimization in patients previously treated for esophageal cancers. MATERIALS/METHODS A retrospective cohort was identified of patients who underwent neoadjuvant RT for esophageal cancers between 2017-2020 without intentional LAD sparing. Treatment planning was performed using Eclipse™ treatment planning system. Doses were calculated using Acuros® XB algorithm or anisotropic analytical algorithm with a 2-2.5mm calculation grid. For each patient, the LAD was delineated and the treated VMAT plan was re-optimized to reduce the dose to the LAD receiving 15 Gy to less than 10%, when possible. Re-plans were performed such that 95% of the PTV received the prescription dose. Institutional constraints were used to minimize the dose to the heart, lung, and spinal cord (Table 1). A paired t-test was used to compare the dose between the original VMAT plan used for treatment (Esophagus Original) against those re-optimized (Esophagus + LAD), with significance of p<0.05. RESULTS A total of 19 patients were identified. Of those treated, 12 of 19 original plans (63%) exceeded the LAD constraint (V15<10%) with a mean V15 Gy of 47.1%. Plan re-optimization accounting for the LAD allowed for 66.7% (9/12) of cases to meet LAD V15 constraints. Aside from increased sparing of the mean heart dose, there were no statistically significant impacts on target coverage and OAR doses otherwise, including to that of the lung and spinal cord (Table 1). CONCLUSION Accounting for LAD dose in treatment planning may help reduce future MACE risks. LAD dose can be significantly reduced without compromising PTV coverage or having significant effects on other OAR dose sparing.
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Affiliation(s)
- A Stephens
- Stanford Health Care, Palo Alto, CA; The University of Texas MD Anderson Cancer Center, Houston, TX
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - H J No
- University of Vermont, Burlington, VT
| | - N Raja
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Y Lozko
- Stanford Cancer Institute Palo Alto, Palo Alto, CA
| | - M S Binkley
- 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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Simiele EA, Han B, Skinner L, Pham D, Lewis J, Gensheimer MF, Vitzthum L, Chang DT, Surucu M, Kovalchuk N. Mitigation of IMRT/SBRT Treatment Planning Errors on the First Biology-Guided Radiotherapy System Using FMEA within Six Sigma Framework. Int J Radiat Oncol Biol Phys 2023; 117:S145. [PMID: 37784370 DOI: 10.1016/j.ijrobp.2023.06.560] [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) Utilize the Six Sigma methodology and Failure Mode and Effect Analysis (FMEA) to prevent and mitigate errors in IMRT/SBRT treatment planning with the first clinical installation of biology-guided radiotherapy (BgRT) system. MATERIALS/METHODS The Six Sigma approach consisted of five phases: Define-Measure-Analyze-Improve-Control. The Define-Measure-Analyze phases consisted of process mapping and an FMEA of the IMRT/SBRT treatment planning process on the BgRT system. The multidisciplinary team outlined the workflow process and identified the failure modes associated with the plan check items using AAPM TG-100 recommendations. Items with the highest average risk priority numbers (RPN) and Severity ≥7 were prioritized for automation using the treatment planning system scripting API (ESAPI). The Improve phase consisted of developing ESAPI scripts prior to the launch of the BgRT system to improve efficiency and safety. In the Control phase, the FMEA ranking was re-evaluated 1-year post-clinical launch. RESULTS Overall, 100 plan check items were identified where the RPN values ranged from 10.2 to 429.0. Fifty of these items (50%) were suitable for automation within ESAPI. Of the 10 highest-risk items (Table 1), 8 were suitable for automation. Based on the results of the FMEA, two scripts were developed: Planning Assistant used by the planner during preparation for planning and the Automated Plan Check used by the planner and the plan checker during plan preparation for treatment. At 1-year post-clinical launch, the scripts were used for 80 patients successfully treated in 1747 fractions. During this period only 3 errors were reported: omitted bolus during treatment, nomenclature error in the BgRT system plan prescription, and dose tracking plan not approved following physics plan check. The average RPN pre-scripts was 138.0 compared to the average post-scripts RPN of 47.8 (p < 0.05) signifying a safer process. CONCLUSION Implementing new technology into the clinic can be an error-prone process where the likelihood of errors increases with increasing pressure to implement the technology quickly. To limit errors in the clinical implementation of the first BgRT system, the Six Sigma methodology was utilized to identify failure modes, establish quality control checks, and re-evaluate these checks 1-year post-clinical launch.
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Affiliation(s)
- E A Simiele
- University of Alabama at Birmingham, Birmingham, AL
| | - B Han
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Lewis
- 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
| | - L Vitzthum
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D T Chang
- Department of Radiation Oncology, Michigan Medicine, Ann Arbor, MI
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Grady K, Burns J, Teuteberg J, Allen L, Beiser D, Lindenfeld J, Yancy C, Cella D, Kirklin J, Denfeld Q, Ruo B, McIlvennan C, Walsh M, Adler E, Klein L, Murks C, Pham D, Rich J, Stehlik J, Kiernan M, Hahn E. New Ventricular Assist Device-Specific Self-Report Measures are Important for Understanding Health-Related Quality of Life: Findings from the MCS A-QOL Study. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.1635] [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: 04/05/2023] Open
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Yoshida S, Kim H, Mehta C, Churyla A, Wu T, Harap R, Vorovich E, Rich J, Wilcox J, Pham D. Concomitant Tricuspid Valve Repair During the Implant of Left Ventricular Assist Device: Propensity-Score Matched Analysis. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.898] [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: 04/05/2023] Open
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Grady K, Wu T, Kao A, Spertus J, Hsich E, Dew M, Yancy C, Pham D, Hartupee J, Petty M, Cotts W, Pamboukian S, Pagani F, Lampert B, Johnson M, Murray M, Yuzefpolskaya M, Takeda K, Silvestry S, Kirklin J, Andrei A. A Comparison of Quality-Adjusted Life Years in Older Adults after Heart Transplantation Versus Long-Term Mechanical Support: Findings from SUSTAIN-IT. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.104] [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: 04/05/2023] Open
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12
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Tibrewala A, Hu M, Petito L, Rich J, Pham D, De By T, Gustafsson F, Veen K, Vanderheyden M, Lloyd-Jones D, Shah S. Derivation and Validation of a Risk Prediction Model for Waitlist Mortality in Left Ventricular Assist Device Patients. J Heart Lung Transplant 2023. [DOI: 10.1016/j.healun.2023.02.536] [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: 04/05/2023] Open
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13
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Paproski R, Pink D, Pham D, Vasquez C, Fairey A, Hyndman M, Aprikian A, Kinnaird A, Beatty P, Pavlovich C, Lewis J. Clinical validation of optimized neural network risk models to predict grade group 2 and above prostate cancer and avoid unneeded biopsies. Eur Urol 2023. [DOI: 10.1016/s0302-2838(23)00119-7] [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: 02/12/2023]
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Muralidharan A, Bauer C, Katafiasz DM, Pham D, Oyewole OO, Morwitzer MJ, Roy E, Bailey KL, Reid SP, Wyatt TA. Malondialdehyde acetaldehyde adduction of surfactant protein D attenuates SARS-CoV-2 spike protein binding and virus neutralization. Alcohol Clin Exp Res 2022; 47:95-103. [PMID: 36352814 PMCID: PMC9878066 DOI: 10.1111/acer.14974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/01/2022] [Accepted: 11/06/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Over 43% of the world's population regularly consumes alcohol. Although not commonly known, alcohol can have a significant impact on the respiratory environment. Living in the time of the COVID-19 pandemic, alcohol misuse can have a particularly deleterious effect on SARS-CoV-2-infected individuals and, in turn, the overall healthcare system. Patients with alcohol use disorders have higher odds of COVID-19-associated hospitalization and mortality. Even though the detrimental role of alcohol on COVID-19 outcomes has been established, the underlying mechanisms are yet to be fully understood. Alcohol misuse has been shown to induce oxidative damage in the lungs through the production of reactive aldehydes such as malondialdehyde and acetaldehyde (MAA). MAA can then form adducts with proteins, altering their structure and function. One such protein is surfactant protein D (SPD), which plays an important role in innate immunity against pathogens. METHODS AND RESULTS In this study, we examined whether MAA adduction of SPD (SPD-MAA) attenuates the ability of SPD to bind SARS-CoV-2 spike protein, reversing SPD-mediated virus neutralization. Using ELISA, we show that SPD-MAA is unable to competitively bind spike protein and prevent ACE2 receptor binding. Similarly, SPD-MAA fails to inhibit entry of wild-type SARS-CoV-2 virus into Calu-3 cells, a lung epithelial cell line, as well as ciliated primary human bronchial epithelial cells isolated from healthy individuals. CONCLUSIONS Overall, MAA adduction of SPD, a consequence of alcohol overconsumption, represents one mechanism of compromised lung innate defense against SARS-CoV-2, highlighting a possible mechanism underlying COVID-19 severity and related mortality in patients who misuse alcohol.
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Affiliation(s)
- Abenaya Muralidharan
- Department of Pathology and Microbiology, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Christopher Bauer
- Department of Internal Medicine, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Dawn M. Katafiasz
- Department of Internal Medicine, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Danielle Pham
- Department of Internal Medicine, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Opeoluwa O. Oyewole
- Department of Pathology and Microbiology, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - M. Jane Morwitzer
- Department of Pathology and Microbiology, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Enakshi Roy
- Department of Pathology and Microbiology, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Kristina L. Bailey
- Department of Internal Medicine, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA,Veterans Affairs Nebraska‐Western Iowa Health Care SystemOmahaNebraskaUSA
| | - St Patrick Reid
- Department of Pathology and Microbiology, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA
| | - Todd A. Wyatt
- Department of Internal Medicine, College of MedicineUniversity of Nebraska Medical CenterOmahaNebraskaUSA,Veterans Affairs Nebraska‐Western Iowa Health Care SystemOmahaNebraskaUSA,Department of Environmental, Agricultural and Occupational Health, College of Public HealthUniversity of Nebraska Medical CenterOmahaNebraskaUSA
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Lau B, Wu Y, Fu J, Cui S, Pham D, Gee H, Skinner L, Shirato H, Taguchi H, Chin A, Gensheimer M, Diehn M, Loo B, Vitzthum L. OA14.04 Chest Wall Toxicity after Individualized Stereotactic Ablative Radiotherapy for Lung Tumors. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.069] [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: 11/30/2022]
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16
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Petty MG, Wu T, Andrei AC, Baldridge A, Warzecha A, Kao A, Spertus J, Hsich E, Dew MA, Pham D, Yancy C, Hartupee J, Cotts W, Pamboukian SV, Pagani F, Lampert B, Johnson M, Murray M, Tekeda K, Yuzefpolskaya M, Silvestry S, Kirklin JK, Grady KL. Baseline Quality-of-Life of Caregivers of Patients With Heart Failure Prior to Advanced Therapies: Findings From the Sustaining Quality of Life of the Aged: Transplant or Mechanical Support (SUSTAIN-IT) Study. J Card Fail 2022; 28:1137-1148. [PMID: 35470057 PMCID: PMC10010287 DOI: 10.1016/j.cardfail.2022.03.358] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 03/09/2022] [Accepted: 03/09/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND We compared health-related quality of life (HRQOL), depressive symptoms, anxiety, and burden in caregivers of older patients with heart failure based on the intended therapy goal of the patient: awaiting heart transplantation (HT) with or without mechanical circulatory support (MCS) or prior to long-term MCS; and we identified factors associated with HRQOL. METHODS Caregivers (n = 281) recruited from 13 HT and MCS programs in the United States completed measures of HRQOL (EQ-5D-3L), depressive symptoms (PHQ-8), anxiety (STAI-state), and burden (Oberst Caregiving Burden Scale). Analyses included ANOVA, Kruskal-Wallis tests, χ2 tests, and linear regression. RESULTS The majority of caregivers were female, white spouses with ≤ 2 comorbidities, median [Q1,Q3] age = 62 [57.8, 67.0] years. Caregivers (HT with MCS = 87, HT without MCS = 98, long-term MCS = 96) reported similarly high baseline HRQOL (EQ-5D-3L visual analog scale median score = 90; P = 0.67 for all groups) and low levels of depressive symptoms. STAI-state median scores were higher in the long-term MCS group vs the HT groups with and without MCS, (38 vs 32 vs 31; P < 0.001), respectively. Burden (task: time spent/difficulty) differed significantly among groups. Caregiver factors (number of comorbidities, diabetes and higher anxiety levels) were significantly associated with worse caregiver HRQOL, R2 = 26%. CONCLUSIONS Recognizing caregiver-specific factors, including comorbidities and anxiety, associated with the HRQOL of caregivers of these older patients with advanced HF may guide support strategies.
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Affiliation(s)
- M G Petty
- From the M Health Fairview, University of Minnesota Medical Center, Minneapolis, Minnesota.
| | - T Wu
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - A C Andrei
- Division of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - A Baldridge
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - A Warzecha
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - A Kao
- Heart Failure and Transplantation Cardiology, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - J Spertus
- Cardiovascular Division, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - E Hsich
- Cardiovascular Medicine, Cleveland Clinic Foundation, Cleveland, Ohio
| | - M A Dew
- Department of Psychiatry, University of Pittsburgh School of Medicine and Medical Center, Pittsburgh, Pennsylvania
| | - D Pham
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - C Yancy
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - J Hartupee
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, Missouri
| | - W Cotts
- Advocate Heart and Vascular Institute, Advocate Christ Medical Center, Oak Lawn, Illinois
| | - S V Pamboukian
- Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - F Pagani
- Division of Cardiovascular Surgery, Frankel Cardiovascular Center, University of Michigan, Ann Arbor, Michigan
| | - B Lampert
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - M Johnson
- Department of Cardiovascular Medicine, University of Wisconsin, Madison, Wisconsin
| | - M Murray
- Department of Cardiovascular Surgery, University of Wisconsin Hospital and Clinics, Madison, Wisconsin
| | - K Tekeda
- Department of Surgery, Columbia University Medical Center, New York, New York
| | - M Yuzefpolskaya
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, New York
| | - S Silvestry
- Thoracic Transplant Programs, Florida Hospital Transplant institute, Orlando, Florida
| | - J K Kirklin
- Division of Cardiothoracic Surgery, Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama
| | - K L Grady
- Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Schroder J, Shah A, Pretorius V, Smith J, Daneshmand M, Geirsson A, Pham S, Um J, Silvestry S, Shaffer A, Mudy K, Kai M, Joyce D, Philpott J, Takeda K, Goldstein D, Shudo Y, Couper G, Mallidi H, Esmailian F, Pham D, Salerno C, Lozonschi L, Quader M, Patel C, DeVore A, Bryner B, Madsen J, Absi T, Milano C, D'Alessandro D. Expanding Heart Transplants from Donors After Circulatory Death (DCD) - Results of the First Randomized Controlled Trial Using the Organ Care System (OCS™) Heart - (OCS DCD Heart Trial). J Heart Lung Transplant 2022. [DOI: 10.1016/j.healun.2022.01.165] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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18
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Truyen T, Vu L, Pham D, Do Q, Huynh T, Ho D, Nguyen T. Measuring the arterial phase of the right coronary artery in the patients suspected of coronary artery disease: a dual study by dynamic angiography and deep learning program. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehab849.182] [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: 11/13/2022] Open
Abstract
Abstract
Funding Acknowledgements
Type of funding sources: None.
Background. In the diagnosis of coronary artery disease (CAD), coronary angiography (CA) plays a crucial role in determining the location and severity of the stenosis, the anatomical aspect of a lesion. It does not accurately reflect the flow dynamics in the coronary artery. This study aimed to evaluate the coronary flow abnormalities based on our new angiographic technique and Deep Learning (DL) program in patients suspected of CAD.
Methods. We randomly selected patients who were admitted with suspected CAD. All patients underwent our new technique of CA. After the index coronary artery was filled completely with contrast, we stopped the injection. At that time, the blood in white color flew in. The flow characteristics, the shape of the tip, borders, and direction could be clearly observed above a black background of the contrast. In this study, we measured the arterial phase (AP) from the beginning when the blood moved in until the end when all contrasts in black color washed out of the distal vasculature. In the DL protocol, the U-Net model combined with Dense-Net-121 and a binary image classification model are used to predict the beginning and ending frame. To obtain the best image for the DL program, we analyzed only the flow of the right coronary artery (RCA).
Results. 81 patients were enrolled. In patients with normal coronary angiography, the mean AP was 1.86s (27.4 +/- 5.4 frames). In patients with one significant lesion, the mean AP value was 2.35s (35.3 +/- 7.7 frames). The mean difference of the AP between the two groups was 0.49s (95% confidence interval: 0.295 to 0.694). This difference is statistically significant. Our DL has the mean root square error in predicting the AP was 0.34s.
Conclusion. In patients with CAD, the prolonged arterial phase could be accurately estimated using the DL program, reflecting the slow circulation of highly oxygenated blood. It could be used as a marker of coronary perfusion in future studies.
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Affiliation(s)
- T Truyen
- Tan Tao University, Long An, Viet Nam
| | - L Vu
- Tan Tao University, Long An, Viet Nam
| | - D Pham
- Tan Tao University, Long An, Viet Nam
| | - Q Do
- Tan Tao University, Long An, Viet Nam
| | - T Huynh
- Tan Tao University, Long An, Viet Nam
| | - D Ho
- Thong Nhat Hospital, Ho Chi Minh, Viet Nam
| | - T Nguyen
- Tan Tao University, Long An, Viet Nam
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Pham D, Breitkreutz D, Simiele E, Capaldi D, Ngo N, Vitzthum L, Gensheimer M, Chin A, Han B, Surucu M, Xing L, Chang D, Kovalchuk N. SBRT Treatment Planning Study for the First Clinical Biology-Guided Radiotherapy System. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.1490] [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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20
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Tran H, Nguyen S, Nguyen K, Pham D, Le A, Nguyen G, Tran D, Shu X, Osarogiagbon R, Tran T. OA18.01 Lung Cancer in Vietnam. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.094] [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: 10/20/2022]
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21
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Grady K, Andrei A, Elenbaas C, Warzecha A, Kao A, Spertus J, Hsich E, Dew M, Sciortino C, Pham D, Hartupee J, Petty M, Cotts W, Pamboukian S, Pagani F, Lampert B, Johnson M, Murray M, Takeda K, Yuzefpolskaya M, Silvestry S, Kirklin J, Collum S, Yancy C. Change in Health-Related Quality of Life from before to 2 Years after Surgery: Findings from the Sustaining Quality of Life of the Aged: Heart Transplant or Mechanical Support (SUSTAIN-IT) Study. J Heart Lung Transplant 2021. [DOI: 10.1016/j.healun.2021.01.313] [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] Open
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22
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Pham D, Vo H, Nguyen T, Vu T, Nguyen D, Nguyen T. Effect of Helicobacter pylori isolates from Vietnam on non-homologous end joining pathway of its host cells. Int J Infect Dis 2020. [DOI: 10.1016/j.ijid.2020.09.412] [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] Open
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Drullinsky D, Ward A, Graciano C, Harap R, Pham D. MINIMALLY INVASIVE HEARTMATE 3 VENTRICULAR ASSIST DEVICE IMPLANTATION. Can J Cardiol 2020. [DOI: 10.1016/j.cjca.2020.07.194] [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] Open
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Al Lawati Y, Cools-Lartigue J, Ramirez-GarciaLuna JL, Molina-Franjola JC, Pham D, Skothos E, Mueller C, Spicer J, Ferri L. Dynamic Alteration of Neutrophil-to-Lymphocyte Ratio over Treatment Trajectory is Associated with Survival in Esophageal Adenocarcinoma. Ann Surg Oncol 2020; 27:4413-4419. [PMID: 32363513 DOI: 10.1245/s10434-020-08521-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Neutrophil-to-lymphocyte ratio (NLR) has been identified as a biomarker for multiple malignancies. There is emerging evidence that implicates neutrophils in cancer progression. Alterations of neutrophil counts and NLR during treatment may reflect a change in oncologic outcome that is more important than baseline values. The aim of this study is to investigate the prognostic role of NLR changes during the treatment trajectory of patients with esophageal adenocarcinoma. PATIENTS AND METHODS NLR values of patients with esophageal adenocarcinoma who underwent surgery between 2005 and 2016 were measured at baseline and in the late postoperative period. Primary outcomes were overall survival (OS) and disease-free survival (DFS). The secondary outcome was pathological response to neoadjuvant chemotherapy. RESULTS 330 patients were included; mean age was 65.6 years, and 82% were male. Most patients had cT3 (74.8%), cN-positive (59.7%) disease. Two-thirds (65.2%) received neoadjuvant chemotherapy. The independent predictors of OS were pathological N-stage, size of primary tumor, and delta NLR (late - baseline NLR). Patients with persistently elevated NLR did worse than those with decreasing NLR trends between baseline and postoperative time points (3-year OS 43.4% versus 71.3%, p < 0.0001, 3-year DFS 29.7% versus 61.9%, p < 0.0001). High baseline and postoperative NLR were associated with significantly worse OS and DFS. Patients with complete pathological response had lower mean baseline NLR. CONCLUSION Dynamic changes in NLR during treatment are associated with survival and may be more informative than static baseline values.
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Affiliation(s)
- Y Al Lawati
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - J Cools-Lartigue
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - J L Ramirez-GarciaLuna
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - J C Molina-Franjola
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - D Pham
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - E Skothos
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - C Mueller
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - J Spicer
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada
| | - L Ferri
- Department of Thoracic and Upper Gastrointestinal Surgery, McGill University, Montreal, Canada.
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Janjua J, Jewel-Ripp P, Blabaum J, Pham D, Dhingra R. Use of Bivalirudin in Treatment of Acute Left Ventricular Assist Device Thrombosis: Case Series. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.271] [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: 11/16/2022] Open
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Grady K, Xu Y, Andrei A, Warzecha A, Kao A, Hsich E, Dew M, Kormos R, Pham D, LaRue S, Petty M, Cotts W, Pamboukian S, Pagani F, Lampert B, Johnson M, Murray M, Tekeda K, Yuzefpolskaya M, Silvestry S, Spertus J, Kirklin J, Collum S, Yancy C. Both Patient and Caregiver Factors are Related to Patient Health-Related Quality of Life before Surgery. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.933] [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] Open
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Okwuosa I, Xu Y, Andrei A, Warzecha A, Kao A, Hsich E, Dew M, Kormos R, Anderson A, Pham D, Yancy C, LaRue S, Petty M, Cotts W, Pamboukian S, Pagani F, Lampert B, Murray M, Tekeda K, Yuzefpolskaya M, Silvestry S, Kirklin J, Collum S, Grady K. Sustaining Quality of Life of the Aged: Transplant or Mechanical Support (Sustain-It): Caregiver Perceived Burden. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.1187] [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] Open
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Hsich E, Olt C, Xu Y, Andrei A, Warzecha A, Kao A, Kao A, Dew M, Kormos R, Pham D, Yancy C, Petty M, Cotts W, Pamboukian S, Pagani F, Pagani F, Lampert B, Johnson M, Murray M, Tekeda K, Yuzefpolskaya M, Silvestry S, Spertus J, Kirklin J, Collum S, Grady K. Sustaining Quality of Life of the Aged: Transplant or Mechanical Support (SUSTAIN-IT): Sex Differences for Non-Enrollment. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.243] [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: 11/29/2022] Open
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Petty M, Yao X, Andrei A, Warzecha A, Kao A, Hsich E, Dew M, Kormos R, Pham D, Yancy C, LaRue S, Cotts W, Pamboukian S, Pagani F, Lamnpert B, Johnson M, Murray M, Tekeda K, Yusefpolskaya M, Silvestry S, Spertus J, Kirklin J, Kirklin J, Collum S, Grady K. Caregiver Comorbidities and Anxiety are Related to Caregiver Quality of Life: Findings from the Sustaining QualIty of Life of the Aged: HT or MCS Study. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.934] [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: 10/24/2022] Open
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Grady K, Wortman K, Ruo B, Teuteberg J, Lindenfeld J, Rich J, Yancy C, Pham D, McIlvennan C, Allen L, Kiernan M, Beiser D, Murks C, Klein L, Lee C, Denfeld Q, Walsh M, Cella D, Buono S, Cummings P, Kallen M, Hahn E. Symptom Frequency and Severity over Time for Patients Undergoing LVAD Implantation. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.240] [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: 11/16/2022] Open
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Vaishnav E, Pham D, Hess T, Baber A, Fiedler A, Smith J, Dhingra R. Impact of Induction Therapy in Cardiac Transplant Patients in the Current Era. J Heart Lung Transplant 2020. [DOI: 10.1016/j.healun.2020.01.615] [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: 10/24/2022] Open
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Stein-Thoeringer CK, Nichols KB, Lazrak A, Docampo MD, Slingerland AE, Slingerland JB, Clurman AG, Armijo G, Gomes ALC, Shono Y, Staffas A, Burgos da Silva M, Devlin SM, Markey KA, Bajic D, Pinedo R, Tsakmaklis A, Littmann ER, Pastore A, Taur Y, Monette S, Arcila ME, Pickard AJ, Maloy M, Wright RJ, Amoretti LA, Fontana E, Pham D, Jamal MA, Weber D, Sung AD, Hashimoto D, Scheid C, Xavier JB, Messina JA, Romero K, Lew M, Bush A, Bohannon L, Hayasaka K, Hasegawa Y, Vehreschild MJGT, Cross JR, Ponce DM, Perales MA, Giralt SA, Jenq RR, Teshima T, Holler E, Chao NJ, Pamer EG, Peled JU, van den Brink MRM. Lactose drives Enterococcus expansion to promote graft-versus-host disease. Science 2019; 366:1143-1149. [PMID: 31780560 PMCID: PMC7003985 DOI: 10.1126/science.aax3760] [Citation(s) in RCA: 183] [Impact Index Per Article: 36.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 10/22/2019] [Indexed: 12/19/2022]
Abstract
Disruption of intestinal microbial communities appears to underlie many human illnesses, but the mechanisms that promote this dysbiosis and its adverse consequences are poorly understood. In patients who received allogeneic hematopoietic cell transplantation (allo-HCT), we describe a high incidence of enterococcal expansion, which was associated with graft-versus-host disease (GVHD) and mortality. We found that Enterococcus also expands in the mouse gastrointestinal tract after allo-HCT and exacerbates disease severity in gnotobiotic models. Enterococcus growth is dependent on the disaccharide lactose, and dietary lactose depletion attenuates Enterococcus outgrowth and reduces the severity of GVHD in mice. Allo-HCT patients carrying lactose-nonabsorber genotypes showed compromised clearance of postantibiotic Enterococcus domination. We report lactose as a common nutrient that drives expansion of a commensal bacterium that exacerbates an intestinal and systemic inflammatory disease.
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Affiliation(s)
- C K Stein-Thoeringer
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - K B Nichols
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - A Lazrak
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - M D Docampo
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - A E Slingerland
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - J B Slingerland
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - A G Clurman
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - G Armijo
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - A L C Gomes
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Y Shono
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - A Staffas
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - M Burgos da Silva
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - S M Devlin
- Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - K A Markey
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - D Bajic
- Department of Internal Medicine II, Technical University of Munich, Munich, Germany
| | - R Pinedo
- Gnotobiotic Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Tsakmaklis
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany
- German Center for Infection Research, Partner site Bonn-Cologne, Cologne, Germany
| | - E R Littmann
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Section of Infectious Medicine and Global Health, University of Chicago, Chicago, IL, USA
| | - A Pastore
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Y Taur
- Infectious Disease Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - S Monette
- Laboratory of Comparative Pathology, Memorial Sloan Kettering Cancer Center, The Rockefeller University, Weill Cornell Medicine, New York, NY, USA
| | - M E Arcila
- Diagnostic Molecular Pathology Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A J Pickard
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - M Maloy
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - R J Wright
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - L A Amoretti
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - E Fontana
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - D Pham
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M A Jamal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - D Weber
- Internal Medicine III, University Clinic Regensburg, Regensburg, Germany
| | - A D Sung
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - D Hashimoto
- Department of Hematology, Hokkaido University, Faculty of Medicine, Sapporo, Japan
| | - C Scheid
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany
| | - J B Xavier
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - J A Messina
- Division of Infectious Diseases, Department of Medicine, Duke University, Durham, NC, USA
| | - K Romero
- Office of Clinical Research, Duke University School of Medicine, Durham, NC, USA
| | - M Lew
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - A Bush
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - L Bohannon
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - K Hayasaka
- Division of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo, Japan
| | - Y Hasegawa
- Department of Hematology, Hokkaido University, Faculty of Medicine, Sapporo, Japan
| | - M J G T Vehreschild
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany
- German Center for Infection Research, Partner site Bonn-Cologne, Cologne, Germany
- Department of Internal Medicine, Infectious Diseases, Goethe University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - J R Cross
- Donald B. and Catherine C. Marron Cancer Metabolism Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - D M Ponce
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - M A Perales
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - S A Giralt
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - R R Jenq
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - T Teshima
- Department of Hematology, Hokkaido University, Faculty of Medicine, Sapporo, Japan
- Division of Laboratory and Transfusion Medicine, Hokkaido University Hospital, Sapporo, Japan
| | - E Holler
- Internal Medicine III, University Clinic Regensburg, Regensburg, Germany
| | - N J Chao
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - E G Pamer
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Section of Infectious Medicine and Global Health, University of Chicago, Chicago, IL, USA
| | - J U Peled
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - M R M van den Brink
- Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medical College, New York, NY, USA
- Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Mui E, Holubar M, Lee R, Pham D, Meng L, Nguyen V, Blackburn BG, Desai J, Gombar S, Ohgami R, Pinksy BA, Chang A, Deresinski S. 2640. Aerosol vs. Oral Ribavirin for the Treatment of Community-Acquired Respiratory Virus Infections in Lung Transplant Recipients. Open Forum Infect Dis 2019. [PMCID: PMC6811319 DOI: 10.1093/ofid/ofz360.2318] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Background Community-acquired respiratory virus (CARV) infections are associated with an increased risk of chronic lung allograft dysfunction (CLAD) and graft loss in lung transplant recipients (LTR). Administration of ribavirin by aerosol was the standard of care at Stanford Health Care in the management of CARV infections. Given the sparse evidence of benefit with aerosol ribavirin (AR) and its increasing cost and teratogenic risk for exposed healthcare personnel, AR was restricted to the treatment of respiratory syncytial virus (RSV) in 2016 and was ultimately removed from formulary in 2017. Oral (PO) ribavirin was used at the discretion of the transplant team. The objective of this study was to evaluate the clinical outcomes of AR compared with PO ribavirin in lung transplant recipients. Methods We performed a retrospective cohort analysis of adult lung transplant recipients diagnosed with CARV (metapneumovirus, parainfluenza virus, and RSV) infections treated with either AR or PO ribavirin. The analysis included the first treatment course of ribavirin by either route and patients were excluded if they received ribavirin in the prior 12 months. The primary outcome was the development/progression of CLAD, acute organ rejection, and overall mortality. Results Of 85 patients, 41 received AR and 44 received PO ribavirin. There was no significant difference in the following clinical outcomes with AR and oral ribavirin, respectively: development or progression of CLAD (30 days: 9.7% vs. 4.5%, P = 0.4227; 90 days: 14.6% vs. 6.8%, P = 0.303; 6 months: 17% vs. 9%, P = 0.3413; 12 months: 24% vs. 15.9%, P = 0.4188), acute organ rejection (90 days: 7.3% vs. 4.5%, P = 0.6689; 6 months: 12.1% vs. 9%, P = 0.7329; 12 months: 19.5% vs. 13.6%, P = 0.5635), and overall mortality (30 days: 0% vs. 4.5%, P = 0.4947; 90 days: 7.3% vs. 4.5%, P = 0.6689; 6 months: 7.3% vs. 9%, P = 1.0; 12 months: 7.3% vs. 13.6%, P = 0.4858). There was no observable difference in reported adverse effects between AR and PO ribavirin. Conclusion Lung transplant recipients with CARV infections had similar outcomes when treated with AR or PO ribavirin. Oral ribavirin is a less costly treatment than AR, but the efficacy of ribavirin by any route remains questionable. ![]()
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Disclosures All authors: No reported disclosures.
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Affiliation(s)
- Emily Mui
- Stanford Health Care, Stanford, California
| | - Marisa Holubar
- Stanford University School of Medicine, Stanford, California
| | - Roy Lee
- Stanford Health Care, Stanford, California
| | | | - Lina Meng
- Stanford Health Care, Stanford, California
| | | | | | | | - Saurabh Gombar
- Stanford University School of Medicine, Stanford, California
| | - Robert Ohgami
- University of California, San Francisco, San Carlos, California
| | | | - Amy Chang
- Stanford University, Menlo Park, California
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Liu S, Bush K, Bertini J, FU Y, Lewis J, Pham D, Yang Y, Niedermayr T, Skinner L, Xing L, Beadle B, Hsu A, Kovalchuk N. Optimizing Efficiency and Safety in External Beam Radiotherapy Using Automated Plan Check (APC) Tool and Six Sigma Methodology. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.422] [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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Uppalapati L, Andrei A, Yancy C, Xu Y, Adam H, Pham D, Grady K. Differences in Health-Related Quality of Life by Socio-Demographic Characteristics: Findings from the Sustaining Quality of Life of the Aged: Transplant or Mechanical Support (SUSTAIN-IT) Study. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.143] [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] Open
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Grady K, Jackson K, Wortman K, Buono S, Beiser D, Murks C, Lee C, Denfeld Q, Lindenfeld J, Rich J, Yancy C, Pham D, Cella D, Goetz P, Bannerjee D, Kiernan M, McIlvennan C, Allen L, Klein L, Walsh M, Ruo B, Kallen M, Hahn E. Self-Reported Physical Health with a Left Ventricular Assist Device: Findings from the Mechanical Circulatory Support Measures of Adjustment and Quality of Life (MCS A-QOL) Study. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.1117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Grady K, Kao A, Dew M, Kormos R, Andrei A, Adam H, Xu Y, Pham D, Pollan L, Yancy C, Hsich E, Cotts W, LaRue S, Petty M, Pamboukian S, Pagani F, Lampert B, Johnson M, Murray M, Tekeda K, Yuzefpolskaya M, Silvestry S, Kirklin J, Collum S, Spertus J. Change in Health-Related Quality of Life from Before to Early after Surgery: Findings from the Sustaining Quality of Life of the Aged: Transplant or Mechanical Support (SUSTAIN-IT) Study. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.521] [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: 11/30/2022] Open
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Bhandari S, Pham D, Pinkston C, Oechsli M, Kloecker G. P1.15-02 Migration Differences in Small Cell vs Non-Small Cell Lung Cancer. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.934] [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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Bhandari S, Pham D, Pinkston C, Oechsli M, Kloecker G. Timing of treatment in small cell lung cancer. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy298.006] [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: 11/14/2022] Open
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Ngo P, Pinkston C, Pham D, Kloecker G. P1.15-23 Factors Affecting Treatment in Non-Small Cell Lung Cancer Patients. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.955] [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: 11/15/2022]
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Pham D, Wong J. Implementation of a proton pump inhibitor step-down program within a community-owned health system. Res Social Adm Pharm 2018. [DOI: 10.1016/j.sapharm.2018.04.020] [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: 10/14/2022]
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Pham D, Pinkston C, Oechsli M, Kong M, Rios-Perez J, Kloecker G. 4B.01 Lung Cancer Patients Migrate to Seek Better Care. J Thorac Oncol 2017. [DOI: 10.1016/j.jtho.2017.09.028] [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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Fagot D, Pham D, Laboureau J, Planel E, Guerin L, Negre C, Donovan M, Bernard B. 517 Crocin, a promising molecule to prevent skin-aging processes. J Invest Dermatol 2017. [DOI: 10.1016/j.jid.2017.07.713] [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: 11/25/2022]
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Diwan S, Eliazar A, Pham D, Fuentes M. STORYTELLING INNOVATIONS: IMPROVED MOOD, FAMILY AND COMMUNITY CONNECTEDNESS IN LATINO AND VIETNAMESE ELDERS. Innov Aging 2017. [DOI: 10.1093/geroni/igx004.4194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- S. Diwan
- San Jose State University, San Jose, California,
| | - A. Eliazar
- Gardner Family Care Corp, San Jose, California,
| | - D. Pham
- Asian Americans for Community Involvement, San Jose, California,
| | - M. Fuentes
- Santa Clara County Behavioral Health Services Dept, San Jose, California
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Aghili N, Bader Y, Kimmelstiel C, Weintraub A, Kiernan M, Vest A, DeNofrio D, Pham D, Kapur N. Biventricular Impella Support: A Contemporary Approach to Acute Mechanical Circulatory Support for Cardiogenic Shock Due to Biventricular Failure. J Heart Lung Transplant 2016. [DOI: 10.1016/j.healun.2016.01.789] [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: 10/22/2022] Open
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Schwimmer C, McNally S, Devi T, Pham D, Chou Y, Dsurney J, Chan L. A-52Parahippocampal Volume in Mild TBI Subjects: The Impact of Premorbid and Post-injury Depression. Arch Clin Neuropsychol 2015. [DOI: 10.1093/arclin/acv047.52] [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: 11/15/2022] Open
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Schwimmer C, McNally S, Devi T, Pham D, Chou Y, Dsurney J, Chan L. Adult TBI-3Parahippocampal Volume in Mild TBI Subjects: The Impact of Premorbid and Post-injury Depression. Arch Clin Neuropsychol 2015. [DOI: 10.1093/arclin/acv046.15] [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: 11/13/2022] Open
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Tan K, Thomas R, Hardcastle N, Pham D, Kron T, Foroudi F, Ball D, te Marvelde L, Bressel M, Siva S. Predictors of Respiratory-induced Lung Tumour Motion Measured on Four-dimensional Computed Tomography. Clin Oncol (R Coll Radiol) 2015; 27:197-204. [DOI: 10.1016/j.clon.2014.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2014] [Revised: 11/05/2014] [Accepted: 12/03/2014] [Indexed: 12/25/2022]
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Siva S, Jackson P, Kron T, Shaw M, Chander S, Gill S, Hardcastle N, Pham D, Hofman M, Foroudi F. PO-0716: Kidney function loss is directly dose dependent after SBRT for primary RCC as assessed by Cr-51 EDTA + DMSA SPECT/CT. Radiother Oncol 2015. [DOI: 10.1016/s0167-8140(15)40708-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Herschtal A, Te Marvelde L, Mengersen K, Hosseinifard Z, Foroudi F, Devereux T, Pham D, Ball D, Greer PB, Pichler P, Eade T, Kneebone A, Bell L, Caine H, Hindson B, Kron T. Calculating radiotherapy margins based on Bayesian modelling of patient specific random errors. Phys Med Biol 2015; 60:1793-805. [PMID: 25658193 DOI: 10.1088/0031-9155/60/5/1793] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Collected real-life clinical target volume (CTV) displacement data show that some patients undergoing external beam radiotherapy (EBRT) demonstrate significantly more fraction-to-fraction variability in their displacement ('random error') than others. This contrasts with the common assumption made by historical recipes for margin estimation for EBRT, that the random error is constant across patients. In this work we present statistical models of CTV displacements in which random errors are characterised by an inverse gamma (IG) distribution in order to assess the impact of random error variability on CTV-to-PTV margin widths, for eight real world patient cohorts from four institutions, and for different sites of malignancy. We considered a variety of clinical treatment requirements and penumbral widths. The eight cohorts consisted of a total of 874 patients and 27 391 treatment sessions. Compared to a traditional margin recipe that assumes constant random errors across patients, for a typical 4 mm penumbral width, the IG based margin model mandates that in order to satisfy the common clinical requirement that 90% of patients receive at least 95% of prescribed RT dose to the entire CTV, margins be increased by a median of 10% (range over the eight cohorts -19% to +35%). This substantially reduces the proportion of patients for whom margins are too small to satisfy clinical requirements.
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Affiliation(s)
- A Herschtal
- Department of Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Australia. Faculty of Health Arts and Design, Swinburne University of Technology, Melbourne, Australia
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