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Liu F, Luo Q, Xi Y, Zhang P, Wu Y, Guo S, Dong Y, Wang D, Wu Q, Liu H, Rong Y, Qiu B. Early Nutritional Intervention in Patients with Non-Small Cell Lung Cancer Receiving Concurrent Chemoradiotherapy: A Phase II Prospective Study. Nutrients 2025; 17:1389. [PMID: 40284252 PMCID: PMC12030435 DOI: 10.3390/nu17081389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2025] [Revised: 04/14/2025] [Accepted: 04/17/2025] [Indexed: 04/29/2025] Open
Abstract
Aims: This phase II study aimed to evaluate the impact of early nutritional intervention on the nutritional status and survival of locally advanced non-small cell lung cancer (LANSCLC) patients undergoing concurrent chemoradiotherapy (CCRT). Methods: LANSCLC patients treated with CCRT were enrolled in the study group and received early nutritional intervention, including individualized nutrition counseling and oral nutritional supplements, from the initiation of CCRT to 2 weeks after its completion. The primary endpoint was the incidence of weight loss ≥5% during the CCRT. For comparison with the study group, a matched control group was retrieved from previous trials by the 1:1 propensity score matching method. Results: Sixty-seven patients were enrolled in the study group with a median follow-up of 52.4 months. Compared with the control group, the study group exhibited a lower incidence of weight loss ≥5% (p = 0.032), higher body mass index (p = 0.034) and prealbumin levels (p = 0.014) at the end of CCRT, as well as lower patient-generated subjective global assessments scores at the end of CCRT (p < 0.001) and 6 months after CCRT (p = 0.007). The study group also had a lower incidence of grade 2+ radiation pneumonitis (p = 0.023) and longer progression-free survival (13.5 vs. 11.3 months, p = 0.032). Patients who responded well to oral nutritional supplements had a higher Firmicutes/Bacteroidetes ratio at baseline (p = 0.036). Conclusions: Early nutritional intervention in LANSCLC patients undergoing CCRT improved nutritional status and reduced radiation pneumonitis. Gut microbiota was associated with the response to oral nutritional supplements.
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Affiliation(s)
- Fangjie Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
- Guangdong Association Study of Thoracic Oncology, Guangzhou 510000, China
| | - Qiaoting Luo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
| | - Yu Xi
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Pengxin Zhang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
- Guangdong Association Study of Thoracic Oncology, Guangzhou 510000, China
| | - Yingjia Wu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
| | - Suping Guo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
| | - Yaoling Dong
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
| | - Daquan Wang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
- Guangdong Association Study of Thoracic Oncology, Guangzhou 510000, China
| | - Qingping Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Hui Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
- Guangdong Association Study of Thoracic Oncology, Guangzhou 510000, China
| | - Yuming Rong
- Department of Traditional Chinese Medicine, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Bo Qiu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (F.L.)
- Guangdong Association Study of Thoracic Oncology, Guangzhou 510000, China
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Wang PP, Soh KL, Binti Khazaai H, Ning CY, Huang XL, Yu JX, Liao JL. Nutritional Assessment Tools for Patients with Cancer: A Narrative Review. Curr Med Sci 2024; 44:71-80. [PMID: 38289530 DOI: 10.1007/s11596-023-2808-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 10/08/2023] [Indexed: 02/24/2024]
Abstract
Cancer patients are at high risk of malnutrition, which can lead to adverse health outcomes such as prolonged hospitalization, increased complications, and increased mortality. Accurate and timely nutritional assessment plays a critical role in effectively managing malnutrition in these patients. However, while many tools exist to assess malnutrition, there is no universally accepted standard. Although different tools have their own strengths and limitations, there is a lack of narrative reviews on nutritional assessment tools for cancer patients. To address this knowledge gap, we conducted a non-systematic literature search using PubMed, Embase, Web of Science, and the Cochrane Library from their inception until May 2023. A total of 90 studies met our selection criteria and were included in our narrative review. We evaluated the applications, strengths, and limitations of 4 commonly used nutritional assessment tools for cancer patients: the Subjective Global Assessment (SGA), Patient-Generated Subjective Global Assessment (PG-SGA), Mini Nutritional Assessment (MNA), and Global Leadership Initiative on Malnutrition (GLIM). Our findings revealed that malnutrition was associated with adverse health outcomes. Each of these 4 tools has its applications, strengths, and limitations. Our findings provide medical staff with a foundation for choosing the optimal tool to rapidly and accurately assess malnutrition in cancer patients. It is essential for medical staff to be familiar with these common tools to ensure effective nutritional management of cancer patients.
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Affiliation(s)
- Peng-Peng Wang
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, 43400, Malaysia.
- Nursing College of Guangxi Medical University, Nanning, 530021, China.
| | - Kim Lam Soh
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, 43400, Malaysia.
| | - Huzwah Binti Khazaai
- Department of Biomedical Sciences, Universiti Putra Malaysia, Serdang, 43400, Malaysia
| | - Chuan-Yi Ning
- Nursing College of Guangxi Medical University, Nanning, 530021, China
| | - Xue-Ling Huang
- Department of Nursing, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Jia-Xiang Yu
- Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, 43400, Malaysia
| | - Jin-Lian Liao
- Department of Nursing, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
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Nie T, Chen Z, Cai J, Ai S, Xue X, Yuan M, Li C, Shi L, Liu Y, Verma V, Bi J, Han G, Yuan Z. Integration of dosimetric parameters, clinical factors, and radiomics to predict symptomatic radiation pneumonitis in lung cancer patients undergoing combined immunotherapy and radiotherapy. Radiother Oncol 2024; 190:110047. [PMID: 38070685 DOI: 10.1016/j.radonc.2023.110047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 11/27/2023] [Accepted: 12/03/2023] [Indexed: 12/18/2023]
Abstract
PURPOSE This study aimed to combine clinical/dosimetric factors and handcrafted/deep learning radiomic features to establish a predictive model for symptomatic (grade ≥ 2) radiation pneumonitis (RP) in lung cancer patients who received immunotherapy followed by radiotherapy. MATERIALS AND METHODS This study retrospectively collected data of 73 lung cancer patients with prior receipt of ICIs who underwent thoracic radiotherapy (TRT). Of these 73 patients, 41 (56.2 %) developed symptomatic grade ≥ 2 RP. RP was defined per multidisciplinary clinician consensus using CTCAE v5.0. Regions of interest (ROIs) (from radiotherapy planning CT images) utilized herein were gross tumor volume (GTV), planning tumor volume (PTV), and PTV-GTV. Clinical/dosimetric (mean lung dose and V5-V30) parameters were collected, and 107 handcrafted radiomic (HCR) features were extracted from each ROI. Deep learning-based radiomic (DLR) features were also extracted based on pre-trained 3D residual network models. HCR models, Fusion HCR model, Fusion HCR + ResNet models, and Fusion HCR + ResNet + Clinical models were built and compared using the receiver operating characteristic (ROC) curve with measurement of the area under the curve (AUC). Five-fold cross-validation was performed to avoid model overfitting. RESULTS HCR models across various ROIs and the Fusion HCR model showed good predictive ability with AUCs from 0.740 to 0.808 and 0.740-0.802 in the training and testing cohorts, respectively. The addition of DLR features improved the effectiveness of HCR models (AUCs from 0.826 to 0.898 and 0.821-0.898 in both respective cohorts). The best performing prediction model (HCR + ResNet + Clinical) combined HCR & DLR features with 7 clinical/dosimetric characteristics and achieved an average AUC of 0.936 and 0.946 in both respective cohorts. CONCLUSIONS In patients undergoing combined immunotherapy/RT for lung cancer, integrating clinical/dosimetric factors and handcrafted/deep learning radiomic features can offer a high predictive capacity for RP, and merits further prospective validation.
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Affiliation(s)
- Tingting Nie
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Zien Chen
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China; School of Biomedical Engineering, South-Central Minzu University, Wuhan, PR China
| | - Jun Cai
- Department of Oncology, First Affiliated Hospital of Yangtze University, Nanhuan Road, Jingzhou, Hubei, PR China
| | - Shuangquan Ai
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China; School of Biomedical Engineering, South-Central Minzu University, Wuhan, PR China
| | - Xudong Xue
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Mengting Yuan
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Chao Li
- Department of Oncology, First Affiliated Hospital of Yangtze University, Nanhuan Road, Jingzhou, Hubei, PR China
| | - Liting Shi
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - Yulin Liu
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Vivek Verma
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Jianping Bi
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Guang Han
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
| | - Zilong Yuan
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China.
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Zhao J, Ma C, Gan G, Xu X, Zhou J. Analysis of clinical and physical dosimetric factors that determine the outcome of severe acute radiation pneumonitis in lung cancer patients. Radiat Oncol 2023; 18:143. [PMID: 37644602 PMCID: PMC10463737 DOI: 10.1186/s13014-023-02304-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 06/20/2023] [Indexed: 08/31/2023] Open
Abstract
OBJECTIVE We conducted a retrospective statistical analysis of clinical and physical dosimetric factors of lung cancer patients who had previously undergone lung and/or mediastinal radiotherapy and died of or survived severe acute radiation pneumonitis (SARP). Our study was the first to reveal the heterogeneity in clinical factors, physical dosimetric factors, and SARP onset time that determined the clinical outcomes of lung cancer patients who developed SARP. MATERIALS AND METHODS The clinical characteristics, physical dosimetry factors, and SARP onset time of deceased and surviving patients were retrospectively analyzed. SPSS 20.0 was used for data analysis. Student's t-test was used for intergroup comparison, and a Mann-Whitney U test was used for data with skewed distribution. Qualitative data were represented using frequencies (%), and Fisher's exact test or χ2 test was used for intergroup comparison of nonparametric data. Binary logistic analysis was used for univariate and multivariate analyses. Differences with a P < 0.05 were considered statistically significant. RESULTS Univariate analysis revealed that the potential predictors of SARP death were as follows: ipsilateral lung V5 and V30, contralateral lung V5, V10, and V30, total lung V5, V10, and V30, mean lung dose, mean heart dose, and maximum spinal cord dose. Multivariate analysis showed that ipsilateral lung V5 and total lung V5 were predictors that determined the final outcome of SARP patients. In addition, we analyzed the time from the completion of radiotherapy to SARP onset, and found significant difference between the two groups. CONCLUSIONS There was no decisive correlation between clinical characteristics and SARP outcome (i.e., death or survival) in lung radiotherapy patients. Ipsilateral lung V5 and total lung V5 were independent predictors of death in SARP patients.
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Affiliation(s)
- Jing Zhao
- Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, 215000, China
| | - Chenying Ma
- Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, 215000, China
| | - Guanghui Gan
- Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, 215000, China
| | - Xiaoting Xu
- Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
| | - Juying Zhou
- Department of Radiation Oncology, First Affiliated Hospital of Soochow University, Suzhou, 215000, China.
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Chen F, Niu J, Wang M, Zhu H, Guo Z. Re-evaluating the risk factors for radiation pneumonitis in the era of immunotherapy. J Transl Med 2023; 21:368. [PMID: 37287014 DOI: 10.1186/s12967-023-04212-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/19/2023] [Indexed: 06/09/2023] Open
Abstract
As one of the common complications of radiotherapy, radiation pneumonia (RP) limits the prognosis of patients. Therefore, better identifying the high-risk factors that lead to RP is essential to effectively prevent its occurrence. However, as lung cancer treatment modalities are being replaced and the era of immunotherapy has arrived, literature that reviews the parameters and mode of radiotherapy, chemotherapy drugs, targeted drugs and current hot immune checkpoint inhibitors related to RP is lacking. This paper summarizes the risk factors for radiation pneumonia by retrieving and analysing previously published literature and the results of large clinical trials. The literature primarily included retrospective analyses, including clinical trials in different periods and a part of the literature review. A systematic literature search of Embase, PubMed, Web of Science, and Clinicaltrials.gov was performed for relevant publications up to 6 Dec. 2022. Search keywords include, but are not limited to, "radiation pneumonia", "pneumonia", "risk factors", "immunotherapy", etc. The factors related to RP in this paper include physical parameters of radiotherapy, including V5, V20, and MLD; chemoradiotherapy mode and chemotherapy drugs, including paclitaxel and gemcitabine; EGFR-TKI; ALK inhibitors; antiangiogenic drugs; immune drugs and the underlying disease of the patient. We also introduce the possible mechanism of RP. In the future, we hope that this article not only sounds the alarm for clinicians but also helps to identify a method that can effectively intervene and reduce the occurrence of RP, significantly improve the quality of life and prognosis of patients, and more effectively improve the therapeutic effect of radiation therapy.
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Affiliation(s)
- Feihu Chen
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China
| | - Jiling Niu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China
| | - Min Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China
| | - Hui Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China.
| | - Zhijun Guo
- Department of Intensive Care Unit, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China.
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6
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Qiu B, Xiong M, Luo Y, Li Q, Chen N, Chen L, Guo S, Wang B, Huang X, Lin M, Hu N, Guo J, Liang Y, Fang Y, Li J, Yang Y, Huang Y, Zhang L, Wang S, Liu H. Hypofractionated Intensity Modulated Radiation Therapy With Concurrent Chemotherapy in Locally Advanced Non-Small Cell Lung Cancer: A Phase II Prospective Clinical Trial (GASTO1011). Pract Radiat Oncol 2021; 11:374-383. [PMID: 34157448 DOI: 10.1016/j.prro.2021.06.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 06/06/2021] [Accepted: 06/08/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE We aimed to explore the efficacy and toxicity of split-course hypofractionated radiotherapy with concurrent chemotherapy (HRT-CHT) in patients with locally advanced non-small cell lung cancer (LANSCLC) in this single-arm, phase II study. METHODS LANSCLC patients were considered eligible if their forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC%) and carbon monoxide diffusing capacity (DLCO%) were ≥40% and ≥45%, respectively. HRT-CHT using the IMRT technique was administered with 51 Gy in 17 fractions as the first course followed by a break. Patients without disease progression or persistent ≥grade 2 toxicities had an HRT-CHT of 15-18 Gy in 5-6 fractions as a boost. The primary endpoint was progression-free survival (PFS), and the secondary endpoint was overall survival (OS). RESULTS Eighty-nine patients were enrolled and analyzed. The median follow-up was 29.5 months for all patients and 35.3 months for the survivors. The objective response rate was 97.8%; the median PFS and OS were 11.0 months and 27.0 months, respectively. Grade 3 acute esophagitis/pneumonitis occurred in 15 (16.9%)/7 (7.9%) patients. Grade 3/5 late pneumonitis occurred in 2 (2.2%)/1 (1.1%) patients. Of the 78 (87.6%) who completed the split-course HRT-CHT per protocol, patients with better FEV1/FVC% and DLCO% after the break had significantly better OS (for the FEV/FVC1%≥80% vs 60-79% vs 41-59% groups, 2-year OS values were 57.2% vs 56.9% vs 0%, respectively, p=0.024; for the DLCO%≥80% vs 60-79% vs 45-59% groups, 2-year OS values were 70.4% vs 48.4% vs 37.5%, respectively, p=0.049). CONCLUSIONS Split-course HRT-CHT achieved a promising response rate and survival with tolerable toxicity in LANSCLC. Pulmonary function tests are necessary indicators for radiation treatment planning and dose escalation.
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Affiliation(s)
- Bo Qiu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Mai Xiong
- Department of Cardiac Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou
| | - YiFeng Luo
- Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou
| | - QiWen Li
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - NaiBin Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Li Chen
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - SuPing Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Bin Wang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - XiaoYan Huang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - MaoSheng Lin
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Nan Hu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - JinYu Guo
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Ying Liang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Yi Fang
- Intensive Care Unit, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou
| | - JiBin Li
- Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou.
| | - YunPeng Yang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - Yan Huang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - Li Zhang
- Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou
| | - SiYu Wang
- Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Guangdong Association Study of Thoracic Oncology, Guangzhou
| | - Hui Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou; Lung Cancer Institute of Sun Yat-sen University, Guangzhou.; Guangdong Association Study of Thoracic Oncology, Guangzhou.
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Tsukita Y, Yamamoto T, Mayahara H, Hata A, Takeda Y, Nakayama H, Tanaka S, Uchida J, Usui K, Toyoda T, Tamiya M, Morimoto M, Oya Y, Kodaira T, Miyauchi E, Jingu K, Sugiura H. Intensity-modulated radiation therapy with concurrent chemotherapy followed by durvalumab for stage III non-small cell lung cancer: A multi-center retrospective study. Radiother Oncol 2021; 160:266-272. [PMID: 34023330 DOI: 10.1016/j.radonc.2021.05.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/07/2021] [Accepted: 05/12/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Intensity-modulated radiation therapy (IMRT) is increasingly applied in concurrent chemoradiotherapy (CCRT) for locally-advanced non-small cell lung cancer (NSCLC), with improvement of target coverage and better sparing of normal tissue. IMRT tends to have a larger low-dose irradiation volume than 3D conformal radiotherapy, but the incidence of and risk factors for pneumonitis remain unclear, especially following the approval of durvalumab. MATERIALS AND METHODS We retrospectively reviewed the records of NSCLC patients treated by CCRT using IMRT at seven Japanese institutions. Primary outcomes were incidence of symptomatic pneumonitis and progression-free survival (PFS). Multivariate logistic regression analysis was used to identify risk factors for ≥grade 2 pneumonitis. RESULTS Median follow-up from the start of CCRT was 14.3 months (n = 107 patients; median age 70 years, 29% female). Median lung V5 and V20 was 49.2% and 19.5%, respectively. Durvalumab was administered to 87 patients (81%). Pneumonitis developed in 95 (89%) patients of which 53% had grade 1, 28% grade 2, 6.5% grade 3, and 0.9% grade 4. Durvalumab had been discontinued in 16 patients (18.4%) due to pneumonitis. By multivariate analysis, age ≥70 years, male sex, and V5 ≥58.9% were identified as significantly associated with ≥grade 2 pneumonitis (p = 0.0065, 0.036 and 0.0013 respectively). The median PFS from the start of CCRT was not reached (95% CI, 14.2 months to not reached) in patients receiving durvalumab. CONCLUSION CCRT using IMRT followed by durvalumab was generally effective and tolerable; V5 <60% would be recommended to avoid symptomatic pneumonitis.
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Affiliation(s)
- Yoko Tsukita
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
| | - Takaya Yamamoto
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroshi Mayahara
- Department of Radiation Oncology, Kobe Minimally-invasive Cancer Center, Kobe, Japan
| | - Akito Hata
- Department of Respiratory Medical Oncology, Kobe Minimally-invasive Cancer Center, Kobe, Japan
| | - Yuichiro Takeda
- Department of Respiratory Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hidetsugu Nakayama
- Department of Radiation Oncology, National Center for Global Health and Medicine, Tokyo, Japan
| | - Satoshi Tanaka
- Department of Respiratory Medicine, Osaka General Medical Center, Osaka, Japan
| | - Junji Uchida
- Department of Respiratory Medicine, Osaka General Medical Center, Osaka, Japan
| | - Kazuhiro Usui
- Division of Respirology, NTT Medical Center Tokyo, Tokyo, Japan
| | - Tatsuya Toyoda
- Department of Radiology, NTT Medical Center Tokyo, Tokyo, Japan
| | - Motohiro Tamiya
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Masahiro Morimoto
- Department of Radiation Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Yuko Oya
- Department of Thoracic Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Takeshi Kodaira
- Department of Radiation Oncology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Eisaku Miyauchi
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Keiichi Jingu
- Department of Radiation Oncology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hisatoshi Sugiura
- Department of Respiratory Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
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8
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Wang L, Gao Z, Li C, Sun L, Li J, Yu J, Meng X. Computed Tomography-Based Delta-Radiomics Analysis for Discriminating Radiation Pneumonitis in Patients With Esophageal Cancer After Radiation Therapy. Int J Radiat Oncol Biol Phys 2021; 111:443-455. [PMID: 33974887 DOI: 10.1016/j.ijrobp.2021.04.047] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 04/24/2021] [Accepted: 04/28/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE Our purpose was to construct a computed tomography (CT)-based delta-radiomics nomogram and corresponding risk classification system for individualized and accurate estimation of severe acute radiation pneumonitis (SARP) in patients with esophageal cancer (EC) after radiation therapy. METHODS AND MATERIALS Four hundred patients with EC were enrolled from 2 independent institutions and were divided into the training (n = 200) and validation (n = 200) cohorts. Eight hundred fifty radiomics features of lung were extracted from treatment planning images, including the positioning CT before radiation therapy (CT1) and the resetting CT after receiving 40 to 45 Gy (CT2). The longitudinal net changes in radiomics features from CT1 to CT2 were calculated and defined as delta-radiomics features. Least absolute shrinkage and selection operator algorithm was performed to features selection and delta-radiomics signature building. Integrating the signature with multidimensional clinicopathologic, dosimetric, and hematological predictors of SARP, a novel CT-based delta-radiomics nomogram was established according to multivariate analysis. The clinical application values of nomogram were both evaluated in the training and validation cohorts by concordance index, calibration curves, and decision curve analysis. Recursive partitioning analysis was used to generate a risk classification system. RESULTS The delta-radiomics signature consisting of 24 features was significantly associated with SARP status (P < .001). Incorporating it with other high-risk factors, Subjective Global Assessment score, pulmonary fibrosis score, mean lung dose, and systemic immune inflammation index, the developed delta-radiomics nomogram showed increased improvement in SARP discrimination accuracy with concordance index of 0.975 and 0.921 in the training and validation cohorts, respectively. Calibration curves and decision curve analysis confirmed the satisfactory clinical feasibility and utility of nomogram. The risk classification system displayed excellent performance on identifying SARP occurrence (P < .001). CONCLUSIONS The delta-radiomics nomogram and risk classification system as low-cost and noninvasive means exhibited superior predictive accuracy and provided individualized probability of SARP stratification for patients with EC.
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Affiliation(s)
- Lu Wang
- Cheeloo College of Medicine, Shandong University, Jinan, China; Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhenhua Gao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Chengming Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Liangchao Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jianing Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jinming Yu
- Cheeloo College of Medicine, Shandong University, Jinan, China; Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
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9
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Mele MC, Rinninella E, Cintoni M, Pulcini G, Di Donato A, Grassi F, Trestini I, Pozzo C, Tortora G, Gasbarrini A, Bria E. Nutritional Support in Lung Cancer Patients: The State of the Art. Clin Lung Cancer 2020; 22:e584-e594. [PMID: 33303399 DOI: 10.1016/j.cllc.2020.10.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/07/2020] [Accepted: 10/15/2020] [Indexed: 12/18/2022]
Abstract
Lung cancer (LC) represents the most commonly diagnosed neoplasm worldwide for both sexes and is the leading cause of cancer mortality. Malnutrition is a comorbidity frequently found in neoplastic patients, but it remains often underestimated and thus undertreated. In this review, we aimed to investigate the incidence of malnutrition among LC patients according to different screening and assessment tools, to evaluate the impact of weight loss and body composition on survival, and to analyze the efficacy of different nutritional interventions in this setting. Although malnutrition, weight loss, and body composition changes can affect survival and other clinical outcomes in LC patients, the role of nutritional interventions is not yet strongly proven, and further studies are recommended. Nevertheless, screening, assessing, and eventually treating malnutrition in LC patients are strongly recommended, according to the most recent nutritional intervention guidelines for oncology patients.
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Affiliation(s)
- Maria Cristina Mele
- UOSD di Nutrizione Avanzata in Oncologia, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Emanuele Rinninella
- UOC di Nutrizione Clinica, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marco Cintoni
- Scuola di Specializzazione in Scienza dell'Alimentazione, Università di Roma Tor Vergata, Rome, Italy.
| | - Gabriele Pulcini
- UOSD di Nutrizione Avanzata in Oncologia, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Agnese Di Donato
- UOSD di Nutrizione Avanzata in Oncologia, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Futura Grassi
- UOC di Nutrizione Clinica, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Ilaria Trestini
- Oncologia Medica, Università di Verona, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Carmelo Pozzo
- Oncologia Medica, Comprehensive Cancer Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Oncologia Medica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Giampaolo Tortora
- Oncologia Medica, Comprehensive Cancer Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Oncologia Medica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonio Gasbarrini
- UOC di Medicina Interna e Gastroenterologia, Dipartimento di Scienze Mediche e Chirurgiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Dipartimento di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Emilio Bria
- Oncologia Medica, Comprehensive Cancer Center, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy; Oncologia Medica, Università Cattolica del Sacro Cuore, Rome, Italy
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10
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Abstract
PURPOSE OF REVIEW Systemic therapy for lung cancer is increasing in intensity and duration. European nutrition guidelines suggest screening for weight loss and malnutrition, however acknowledges there is a lack of evidence. We discuss current data round this issue and identify opportunities for further research. RECENT FINDINGS International guidelines now exist to aid the definition of weight loss in cancer, including cachexia, sarcopenia and malnutrition. These allow consistent definition of overlapping, but distinct clinical syndromes. Nutritional status can be assessed in a range of ways including questionnaires, functional assessments, blood markers, physical activity, weight and BMI. Weight loss is commonly associated with a proinflammatory state. Future treatment is likely to be a combination of dietetic support and pharmacological treatment of cachexia. SUMMARY There is a paucity of data on dietetic intervention. It is potentially quick, inexpensive and patient specific, using a holistic approach to aid patients who are malnourished or at risk of malnutrition. Lung cancer-related weight loss is common, further strategies are needed to effectively assess and intervene. Dietetic intervention has the potential to improve patients' quality of life and outcomes.
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11
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Nutritional status and interventions for patients with cancer - A systematic review. J Geriatr Oncol 2020; 12:6-21. [PMID: 32616384 DOI: 10.1016/j.jgo.2020.06.020] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/15/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Malnourishment is commonly seen in ageing, cancer and many chronic conditions, and is associated with poorer prognosis. AIM We set out to collect all currently available evidence on the association between nutritional status assessed with a validated screening tool and prognosis or course of treatment in older patients with cancer, and on the benefit of nutritional interventions in improving these outcomes. METHODS A systematic search in MEDLINE and EMBASE. RESULTS We included 71 studies on the association between nutritional status and outcome in (older) patients with cancer and 17 studies on the benefit of nutritional interventions in improving outcomes in this patient population. There is a significant association between nutritional status and increased intermediate- and long-term mortality (hazard ratio 1.87 (95% confidence interval 1.62-2.17). Those with poorer nutritional status were less likely to complete oncologic treatment according to plan and had higher health care consumption. Benefit of dietary interventions was limited although dietary counselling may lead to improved quality of life while nutritional support may lead to a decrease in post-operative complication rates. CONCLUSION Nutritional status is associated with poorer survival, decreased treatment completion and higher health care consumption and nutritional interventions are only able to negate these negatives outcome to a very limited degree.
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12
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Quantifying the Interfractional motion of Esophagus Using Daily Cone Beam Computed Tomography with Oral Contrast During Radiation Therapy for Locally Advanced Non-Small Cell Lung Cancer. Pract Radiat Oncol 2020; 10:e339-e347. [PMID: 32610161 DOI: 10.1016/j.prro.2020.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Revised: 04/15/2020] [Accepted: 06/10/2020] [Indexed: 12/25/2022]
Abstract
PURPOSE To quantify the interfractional motion of the esophagus during fractionated radiation therapy for locally advanced non-small cell lung cancer. METHODS AND MATERIALS We registered simulation 4-dimensional computed tomography (CT) and daily cone beam CT (CBCT) and documented the motion of the esophagus centroid at 5-mm interval slices in right-left (RL) and anterior-posterior (AP) directions. Oral barium sulfate was administrated during CBCT to help localize the esophagus. Thirty-five patients were enrolled. Thirty-five 4-dimensional CT scans, 595 CBCT scans, and 25,970 slices were analyzed. The slice-derived motion values for all patients were presented as 2.5 to 97.5 percentiles and ranges stratified by segments. The magnitude of motion for each individual patient was defined as the standard deviation (SD) of daily motion values stratified by segments. Correlations between the magnitude of motion and clinical variables were explored. RESULTS The 2.5 to 97.5 percentiles of RL and AP motion were -4.2 to 7.1 and -4.4 to 5.1; -10.3 to 6.0 and -4.3 to 3.8; -8.7 to 5.5 and -6.4 to 2.8; and -9.1 to 4.7 and -5.8 to 3.3 mm for cervical, proximal, middle, and distal thoracic esophagus, respectively. The interfractional motion was direction- and location-dependent. The magnitude of RL motion was greater than that of AP motion for the 4 segments (P < .05). In the RL direction, the magnitude of motion was greater for the middle thoracic esophagus than for the cervical (median SD 2.7 vs 2.0 mm, P = .001) and proximal thoracic esophagus (median SD 2.7 vs 2.1 mm, P = .002). Patients with right lung tumor and bulky lymph nodes tended to display greater RL esophageal motion. CONCLUSIONS The interfractional motion of the esophagus can be considerable during radiation therapy in locally advanced non-small cell lung cancer, especially for middle thoracic esophagus in RL direction. Strategies to minimize the effect of interfractional esophageal motion on dosimetry should be considered.
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13
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A Novel Nomogram and Risk Classification System Predicting Radiation Pneumonitis in Patients With Esophageal Cancer Receiving Radiation Therapy. Int J Radiat Oncol Biol Phys 2019; 105:1074-1085. [DOI: 10.1016/j.ijrobp.2019.08.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/12/2019] [Accepted: 08/15/2019] [Indexed: 02/06/2023]
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14
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Ma L, Qiu B, Li Q, Chen L, Wang B, Hu Y, Liu M, Zhang L, Huang Y, Deng X, Xia Y, Lin M, Liu H. An esophagus-sparing technique to limit radiation esophagitis in locally advanced non-small cell lung cancer treated by simultaneous integrated boost intensity-modulated radiotherapy and concurrent chemotherapy. Radiat Oncol 2018; 13:130. [PMID: 30016978 PMCID: PMC6050724 DOI: 10.1186/s13014-018-1073-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 07/05/2018] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To investigate the incidence of radiation esophagitis (RE) and tumor local control using esophagus sparing technique in locally advanced non-small cell lung cancer (LANSCLC) treated by simultaneous integrated boost intensity-modulated radiation therapy (SIB-IMRT) and concurrent chemotherapy. METHODS Eighty-seven patients with stage IIIA/B NSCLC who received definitive SIB-IMRT and concurrent chemotherapy had been divided into two groups: 1.with esophagus sparing technique; 2.without esophagus sparing technique. Chi-square test was performed to compare sex, clinical stage, histology, concurrent chemotherapy, RE and nutrition status between two groups. T-test was used to compare the dosimetric parameters. Overall survival (OS) and loco-regional failure free survival (LRFS) were calculated by the Kaplan-Meier method and compared by a log-rank test. RESULTS There were 44 patients in the esophagus sparing group and 43 in the non-sparing group. The incidence of severe RE (Grade 3) was significantly lower in patients with esophagus sparing technique (p = 0.002). Patients in esophagus sparing group had better nutrition status (p = 0.045). With a median follow-up of 18 months (range 1-51 months), the 1-year, 2-year and 3-year OS of all the patients was 86.6, 65.4 and 43.7%. The 1-year, 2-year LRFS was 78.4, 65.9%. OS time (p = 0.301) and LRFS (p = 0.871) was comparable between two groups. CONCLUSIONS Esophagus-sparing technique is an effective and essential method to limit RE in LANSCLC treated by SIB-IMRT and concurrent chemotherapy without compromising local control.
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Affiliation(s)
- Li Ma
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - Bo Qiu
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - QiWen Li
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - Li Chen
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - Bin Wang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - YongHong Hu
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - MengZhong Liu
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - Li Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China
| | - Yan Huang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China
| | - XiaoWu Deng
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - YunFei Xia
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China.,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China
| | - MaoSheng Lin
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China. .,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China. .,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China.
| | - Hui Liu
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China. .,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People's Republic of China. .,Department of Radiation Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, Guangdong, 510060, People's Republic of China.
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