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Zhou X, Shao T, Jia H, Hou L, Tang X, Yu C, Zhou C, Zhou S, Yang H. Current state, challenges, and future perspective of adaptive radiotherapy: A narrative review of nasopharyngeal carcinoma. Oral Oncol 2024; 158:107008. [PMID: 39182359 DOI: 10.1016/j.oraloncology.2024.107008] [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: 06/07/2024] [Revised: 08/08/2024] [Accepted: 08/19/2024] [Indexed: 08/27/2024]
Abstract
Patients with nasopharyngeal carcinoma often experience weight loss and tumor regression during the course of radiotherapy that lasts for up to 6-7 weeks. Adaptive radiotherapy is a systematic feedback control approach based on image-guided technology that adjusts these changes and optimizes the radiotherapy plans according to new imaging findings during treatment. There is growing evidence that adaptive radiotherapy can reduce side effects, improve the quality of life, and enhance disease control. However, the routine application of adaptive radiotherapy for nasopharyngeal remains relatively limited. This review discusses the necessity, clinical benefits, and limitations of adaptive radiotherapy, and presents the current state, challenges, and future perspective of adaptive radiotherapy strategies for nasopharyngeal carcinoma.
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Affiliation(s)
- Xiate Zhou
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Tianchi Shao
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; School of Public Health and Management, Wenzhou Medical University, Zhejiang Province 325035, China
| | - Haijian Jia
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Liqiao Hou
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Xingni Tang
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Changhui Yu
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Chao Zhou
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Suna Zhou
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China.
| | - Haihua Yang
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Enze Hospital, Taizhou Enze Medical Center (Group), Zhejiang Province 317000, China; Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China.
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Han C, Qiu J, Bai L, Liu T, Chen J, Wang H, Dang J. Pneumonitis Risk After Chemoradiotherapy With and Without Immunotherapy in Patients With Locally Advanced Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis. Int J Radiat Oncol Biol Phys 2024; 119:1179-1207. [PMID: 38360117 DOI: 10.1016/j.ijrobp.2024.01.217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/28/2023] [Accepted: 01/28/2024] [Indexed: 02/17/2024]
Abstract
PURPOSE Chemoradiotherapy (CRT) combined with immune checkpoint inhibitors (ICIs) is the standard of care for patients with unresectable and locally advanced non-small cell lung cancer. This study aimed to determine whether the addition of ICIs to CRT is associated with an increased risk of pneumonitis. METHODS AND MATERIALS The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for eligible studies published between January 1, 2015, and July 31, 2023. The outcome of interest was the incidence rate of pneumonitis. A random-effects model was used for statistical analysis. RESULTS A total of 185 studies with 24,527 patients were included. The pooled rate of grade ≥2 pneumonitis for CRT plus ICIs was significantly higher than that for CRT alone (29.6%; 95% CI, 25.7%-33.6% vs 20.2%; 95% CI, 17.7%-22.8%; P < .0001) but not that of grade ≥3 (5.7%; 95% CI, 4.8%-6.6% vs 5.6%; 95% CI, 4.7%-6.5%; P = .64) or grade 5 (0.1%; 95% CI, 0.0%-0.2% vs 0.3%; 95% CI, 0.1%-0.4%; P = .68). The results from the subgroup analyses of prospective studies, retrospective studies, Asian and non-Asian studies, concurrent CRT (cCRT), and durvalumab consolidation were comparable to the overall results. However, CRT or cCRT plus PD-1 inhibitors not only significantly increased the incidence of grade ≥2 but also that of grade ≥3 pneumonitis compared to CRT alone or cCRT plus PD-L1 inhibitors. CONCLUSIONS Compared with CRT alone, durvalumab consolidation after CRT appears to be associated with a higher incidence of moderate pneumonitis and CRT plus PD-1 inhibitors with an increased risk of severe pneumonitis. Nevertheless, these findings are based on observational studies and need to be validated in future large head-to-head studies.
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Affiliation(s)
- Chong Han
- Department of Radiation Oncology, First Hospital of China Medical University, Shenyang, China
| | - Jingping Qiu
- Department of Radiation Oncology, First Hospital of China Medical University, Shenyang, China
| | - Lu Bai
- Department of Radiation Oncology, First Hospital of China Medical University, Shenyang, China
| | - Tingting Liu
- Department of Radiation Oncology, Anshan Cancer Hospital, Anshan, China
| | - Jun Chen
- Department of Radiation Oncology, Shenyang Tenth People's Hospital, Shenyang, China
| | - He Wang
- Department of Radiation Oncology, First Hospital of China Medical University, Shenyang, China
| | - Jun Dang
- Department of Radiation Oncology, First Hospital of China Medical University, Shenyang, China.
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Yegya-Raman N, Friedes C, Lee SH, Iocolano M, Duan L, Wang X, Li B, Aggarwal C, Cohen RB, Su W, Doucette A, Levin WP, Cengel KA, DiBardino D, Teo BKK, O'Reilly SE, Sun L, Bradley JD, Xiao Y, Langer CJ, Feigenberg SJ. Pneumonitis Rates Before and After Adoption of Immunotherapy Consolidation in Patients With Locally Advanced Non-Small Cell Lung Cancer Treated With Concurrent Chemoradiation. Int J Radiat Oncol Biol Phys 2024; 118:1445-1454. [PMID: 37619788 DOI: 10.1016/j.ijrobp.2023.08.039] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/24/2023] [Accepted: 08/11/2023] [Indexed: 08/26/2023]
Abstract
PURPOSE We hypothesized that after adoption of immune checkpoint inhibitor (ICI) consolidation for patients with locally advanced non-small cell lung cancer (LA-NSCLC) receiving concurrent chemoradiation therapy (cCRT), rates of symptomatic pneumonitis would increase, thereby supporting efforts to reduce lung radiation dose. METHODS AND MATERIALS This single institution, multisite retrospective study included 783 patients with LA-NSCLC treated with definitive cCRT either before introduction of ICI consolidation (pre-ICI era cohort [January 2011-September 2017]; N = 448) or afterward (ICI era cohort [October 2017-December 2021]; N = 335). Primary endpoint was grade ≥2 pneumonitis (G2P) and secondary endpoint was grade ≥3 pneumonitis (G3P), per Common Terminology Criteria for Adverse Events v5.0. Pneumonitis was compared between pre-ICI era and ICI era cohorts using the cumulative incidence function and Gray's test. Inverse probability of treatment weighting (IPTW)-adjusted Fine-Gray models were generated. Logistic models were developed to predict the 1-year probability of G2P as a function of lung dosimetry. RESULTS G2P was higher in the ICI era than in the pre-ICI era (1-year cumulative incidence 31.4% vs 20.1%; P < .001; IPTW-adjusted multivariable subdistribution hazard ratio, 2.03; 95% confidence interval, 1.53-2.70; P < .001). There was no significant interaction between ICI era treatment and either lung volume receiving ≥20 Gy (V20) or mean lung dose in Fine-Gray regression for G2P; however, the predicted probability of G2P was higher in the ICI era at clinically relevant values of lung V20 (≥24%) and mean lung dose (≥14 Gy). Cut-point analysis revealed a lung V20 threshold of 28% in the ICI era (1-year G2P rate 46.0% above vs 19.8% below; P < .001). Among patients receiving ICI consolidation, lung V5 was not associated with G2P. G3P was not higher in the ICI era (1-year cumulative incidence 7.5% vs 6.0%; P = .39; IPTW-adjusted multivariable subdistribution hazard ratio, 1.12; 95% confidence interval, 0.63-2.01; P = .70). CONCLUSIONS In patients with LA-NSCLC treated with cCRT, the adoption of ICI consolidation was associated with an increase in G2P but not G3P. With ICI consolidation, stricter lung dose constraints may be warranted.
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Affiliation(s)
| | | | | | | | | | | | - Bolin Li
- Departments of Radiation Oncology
| | - Charu Aggarwal
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Roger B Cohen
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Abigail Doucette
- Abramson Cancer Center, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - David DiBardino
- Section of Interventional Pulmonology and Thoracic Oncology, Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Lova Sun
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | | | - Corey J Langer
- Division of Hematology and Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Liu T, Li S, Ding S, Qiu J, Ren C, Chen J, Wang H, Wang X, Li G, He Z, Dang J. Comparison of post-chemoradiotherapy pneumonitis between Asian and non-Asian patients with locally advanced non-small cell lung cancer: a systematic review and meta-analysis. EClinicalMedicine 2023; 64:102246. [PMID: 37781162 PMCID: PMC10539643 DOI: 10.1016/j.eclinm.2023.102246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 08/28/2023] [Accepted: 09/13/2023] [Indexed: 10/03/2023] Open
Abstract
Background Pneumonitis is a common complication for patients with locally advanced non-small cell lung cancer undergoing definitive chemoradiotherapy (CRT). It remains unclear whether there is ethnic difference in the incidence of post-CRT pneumonitis. Methods PubMed, Embase, Cochrane Library, and Web of Science were searched for eligible studies from January 1, 2000 to April 30, 2023. The outcomes of interest were incidence rates of pneumonitis. The random-effect model was used for statistical analysis. This meta-analysis was registered with PROSPERO (CRD42023416490). Findings A total of 248 studies involving 28,267 patients were included. Among studies of CRT without immunotherapy, the pooled rates of pneumonitis for Asian patients were significantly higher than that for non-Asian patients (all grade: 66.8%, 95% CI: 59.2%-73.9% vs. 28.1%, 95% CI: 20.4%-36.4%; P < 0.0001; grade ≥2: 25.1%, 95% CI: 22.9%-27.3% vs. 14.9%, 95% CI: 12.0%-18.0%; P < 0.0001; grade ≥3: 6.5%, 95% CI: 5.6%-7.3% vs. 4.6%, 95% CI: 3.4%-5.9%; P = 0.015; grade 5: 0.6%, 95% CI: 0.3%-0.9% vs. 0.1%, 95% CI: 0.0%-0.2%; P < 0.0001). Regarding studies of CRT plus immunotherapy, Asian patients had higher rates of all-grade (74.8%, 95% CI: 63.7%-84.5% vs. 34.3%, 95% CI: 28.7%-40.2%; P < 0.0001) and grade ≥2 (34.0%, 95% CI: 30.7%-37.3% vs. 24.6%, 95% CI: 19.9%-29.3%; P = 0.001) pneumonitis than non-Asian patients, but with no significant differences in the rates of grade ≥3 and grade 5 pneumonitis. Results from subgroup analyses were generally similar to that from the all studies. In addition, the pooled median/mean of lung volume receiving ≥20 Gy and mean lung dose were relatively low in Asian studies compared to that in non-Asian studies. Interpretation Asian patients are likely to have a higher incidence of pneumonitis than non-Asian patients, which appears to be due to the poor tolerance of lung to radiation. Nevertheless, these findings are based on observational studies and with significant heterogeneity, and need to be validated in future large prospective studies focusing on the subject. Funding None.
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Affiliation(s)
- Tingting Liu
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
- Department of Radiation Oncology, Anshan Cancer Hospital, Anshan, China
| | - Sihan Li
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Silu Ding
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Jingping Qiu
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Chengbo Ren
- Department of Radiation Oncology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Jun Chen
- Department of Radiation Oncology, Shenyang Tenth People's Hospital, Shenyang, China
| | - He Wang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Xiaoling Wang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Guang Li
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Zheng He
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
| | - Jun Dang
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, China
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Regnery S, de Colle C, Eze C, Corradini S, Thieke C, Sedlaczek O, Schlemmer HP, Dinkel J, Seith F, Kopp-Schneider A, Gillmann C, Renkamp CK, Landry G, Thorwarth D, Zips D, Belka C, Jäkel O, Debus J, Hörner-Rieber J. Pulmonary magnetic resonance-guided online adaptive radiotherapy of locally advanced: the PUMA trial. Radiat Oncol 2023; 18:74. [PMID: 37143154 PMCID: PMC10161406 DOI: 10.1186/s13014-023-02258-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/03/2023] [Indexed: 05/06/2023] Open
Abstract
BACKGROUND Patients with locally-advanced non-small-cell lung cancer (LA-NSCLC) are often ineligible for surgery, so that definitive chemoradiotherapy (CRT) represents the treatment of choice. Nevertheless, long-term tumor control is often not achieved. Intensification of radiotherapy (RT) to improve locoregional tumor control is limited by the detrimental effect of higher radiation exposure of thoracic organs-at-risk (OAR). This narrow therapeutic ratio may be expanded by exploiting the advantages of magnetic resonance (MR) linear accelerators, mainly the online adaptation of the treatment plan to the current anatomy based on daily acquired MR images. However, MR-guidance is both labor-intensive and increases treatment times, which raises the question of its clinical feasibility to treat LA-NSCLC. Therefore, the PUMA trial was designed as a prospective, multicenter phase I trial to demonstrate the clinical feasibility of MR-guided online adaptive RT in LA-NSCLC. METHODS Thirty patients with LA-NSCLC in stage III A-C will be accrued at three German university hospitals to receive MR-guided online adaptive RT at two different MR-linac systems (MRIdian Linac®, View Ray Inc. and Elekta Unity®, Elekta AB) with concurrent chemotherapy. Conventionally fractioned RT with isotoxic dose escalation up to 70 Gy is applied. Online plan adaptation is performed once weekly or in case of major anatomical changes. Patients are followed-up by thoracic CT- and MR-imaging for 24 months after treatment. The primary endpoint is twofold: (1) successfully completed online adapted fractions, (2) on-table time. Main secondary endpoints include adaptation frequency, toxicity, local tumor control, progression-free and overall survival. DISCUSSION PUMA aims to demonstrate the clinical feasibility of MR-guided online adaptive RT of LA-NSCLC. If successful, PUMA will be followed by a clinical phase II trial that further investigates the clinical benefits of this approach. Moreover, PUMA is part of a large multidisciplinary project to develop MR-guidance techniques. TRIAL REGISTRATION ClinicalTrials.gov: NCT05237453 .
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Affiliation(s)
- Sebastian Regnery
- Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Department of Radiation Oncology, Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Chiara de Colle
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Chukwuka Eze
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Christian Thieke
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Oliver Sedlaczek
- Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Julien Dinkel
- Department of Radiology, LMU Munich, Munich, Germany
| | - Ferdinand Seith
- Department of Radiology, University Hospital Tübingen, Tübingen, Germany
| | | | - Clarissa Gillmann
- Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - C Katharina Renkamp
- Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Daniel Zips
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Oliver Jäkel
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Department of Radiation Oncology, Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Division of Medical Physics in Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Department of Radiation Oncology, Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg, Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Juliane Hörner-Rieber
- Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
- National Center for Radiation Oncology (NCRO), Heidelberg Institute for Radiation Oncology (HIRO), Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
- Department of Radiation Oncology, Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg University Hospital, Heidelberg, Germany.
- National Center for Tumor diseases (NCT), Heidelberg, Germany.
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Zhou C, Hou L, Tang X, Liu C, Meng Y, Jia H, Yang H, Zhou S. CT-based radiomics nomogram may predict who can benefit from adaptive radiotherapy in patients with local advanced-NSCLC patients. Radiother Oncol 2023; 183:109637. [PMID: 36963440 DOI: 10.1016/j.radonc.2023.109637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 02/14/2023] [Accepted: 03/17/2023] [Indexed: 03/26/2023]
Abstract
BACKGROUND Although adaptive radiotherapy (ART) has many advantages, ART is not universal in the clinical appliance due to the consumption of a lot of labor, and economic burden. It is necessary to explore a CT stimulation-based radiomics model for screening who can get more benefits from ART in locally advanced non-small cell lung cancer (NSCLC) patients. METHOD 183 cases of NSCLC patients receiving concurrent chemoradiotherapy with an adaptive approach were enrolled as a primary cohort, while 28 cases from another hospital served as an independent external validation cohort. Tumor regression assessment was conducted based on GTV reduction (Criteria A) or according to RECIST Version 1.1(Criteria B). The radiomics features were extracted by the "PyRadiomics" package and further screened by the LASSO method. Then, logistic regression was used to establish the model. Bootstrap and external validation were applied to verify the stability of the model. The receiver operating characteristic (ROC) curve was delineated to assess the predictive efficacy of the radiomics model. Dose-volume histograms were quantitatively compared between the initial and composite ART plans. Clinical endpoints included overall survival (OS) and progression-free survival (PFS). RESULT There were no significant differences in clinical features between tumor regression-resistant (RR) and tumor regression-sensitivity (RS) groups. The AUC values of the Criteria A model and Criteria B model were 0.767 and 0.771, respectively. Bootstrapping validation and external validation confirmed the stability of models. In all patients, there was a significant benefit of ART in the lung, heart, cord, and esophagus compared to non-ART, particularly in RS patients. Furthermore, PFS and OS from ART were significantly longer in RS as defined by Criterion B than in RR patients with the same ART application. CONCLUSION CT-based radiomics can screen out the patients who can gain more benefits from ART, which contribute to guiding and popularizing the application of ART strategy in the clinic within economic benefits and feasibility.
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Affiliation(s)
- Chao Zhou
- From Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Liqiao Hou
- From Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Xingni Tang
- From Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Changxing Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China
| | - Yinnan Meng
- From Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China
| | - Haijian Jia
- Department of Radiation Oncology, Enze Hospital Affiliated Hospital of Hangzhou Medical College, Zhejiang Province 317000, China
| | - Haihua Yang
- Department of Radiation Oncology, Xi'an No.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shaanxi 710018, P.R. China.
| | - Suna Zhou
- From Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Zhejiang Province 317000, China; Department of Radiation Oncology, Xi'an No.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shaanxi 710018, P.R. China.
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Kishi N, Matsuo Y, Shintani T, Ogura M, Mitsuyoshi T, Araki N, Fujii K, Okumura S, Nakamatsu K, Kishi T, Atsuta T, Sakamoto T, Ohtsu S, Katagiri T, Narabayashi M, Fujishiro S, Iizuka Y, Ozasa H, Hirai T, Mizowaki T. Recurrence patterns and progression-free survival after chemoradiotherapy with or without consolidation durvalumab for stage III non-small cell lung cancer. JOURNAL OF RADIATION RESEARCH 2023; 64:142-153. [PMID: 36149029 PMCID: PMC9855316 DOI: 10.1093/jrr/rrac057] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/16/2022] [Indexed: 05/28/2023]
Abstract
Chemoradiotherapy followed by consolidation durvalumab (CCRT+D) improves survival in patients with stage III non-small-cell lung cancer (NSCLC). We compared recurrence patterns and survival in the CCRT+D and CCRT cohorts. We conducted a multicenter, retrospective study in Japan. Patients who received CCRT for stage III NSCLC were included in this study. Of 178 eligible patients, 136 were in the CCRT+D and 42 were in the CCRT cohorts. Locoregional recurrence (LR), LR plus distant metastases (DM), and DM were observed in 20.6%, 8.8%, 27.9% of the CCRT+D, and 26.2%, 16.7% and 33.3% of the CCRT cohorts, respectively. In-field recurrence was the most common LR pattern in both cohorts. Squamous cell carcinoma and PD-L1 expression < 1%, and female sex and EGFR mutations were significantly associated with an increased risk of LR and DM. In patients with any risk factors for LR, the incidence of LR was similar in the CCRT+D and CCRT (39.5% vs 45.5%). The 24 month progression-free survival (PFS) and overall survival (OS) were 40.3% and 69.4% in the CCRT+D and 24.7% and 61.0% in the CCRT cohorts, respectively. Poor performance status and no consolidation durvalumab were significantly associated with shorter PFS. There was a significant difference in PFS between the CCRT+D and CCRT in the propensity score-matched cohort (HR = 0.51, P = 0.005). In conclusion, consolidation durvalumab decreased both LR and DM, and significantly improved PFS. However, in-field recurrence was still a major problem, as well as DM.
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Affiliation(s)
- Noriko Kishi
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Yukinori Matsuo
- Corresponding author. Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan. Tel: +81-75-751-3762; Fax: +81-75-771-9749;
| | - Takashi Shintani
- Department of Radiology, Japanese Red Cross Fukui Hospital, 2-4-1 Tsukimi, Fukui, 918-8501, Japan
| | - Masakazu Ogura
- Department of Radiation Oncology, Kishiwada City Hospital, 1001 Gakuhara-cho, Kishiwada, Osaka, 596-8501, Japan
| | - Takamasa Mitsuyoshi
- Department of Radiation Oncology, Kobe City Medical Center General Hospital, 2-1-1, Minatojimaminamimachi, Chuo-ku, Kobe, Hyogo, 650-0047, Japan
| | - Norio Araki
- Department of Radiology, National Hospital Organization Kyoto Medical Center, 1-1 Fukakusamukaihata-cho, Fushimi-ku, Kyoto, 612-8555, Japan
| | - Kota Fujii
- Department of Radiation Oncology, Kurashiki Central Hospital, 1-1-1 Miwa, Kurashiki, Okayama, 710-8602, Japan
| | - Setsuko Okumura
- Department of Radiation Oncology, Hyogo Prefectural Amagasaki General Medical Center, 2-17-77 Higashinanba-cho, Amagasaki, Hyogo, 660-8550, Japan
| | - Kiyoshi Nakamatsu
- Department of Radiation Oncology, Kindai University Faculty of Medicine, 377-2, Onohigashi, Osakasayama-shi, Osaka, 589-8511, Japan
| | - Takahiro Kishi
- Department of Radiation Oncology, Osaka Red Cross Hospital, 5-30 Fudegasaki-cho, Tennoji-ku, Osaka, 543-8555, Japan
| | - Tomoko Atsuta
- Department of Radiation Oncology, Kitano Hospital, Tazuke Kofukai Medical Research Institute, 2-4-20, Ohgimachi, Kita-ku, Osaka, 530-8480, Japan
| | - Takashi Sakamoto
- Department of Radiation Oncology, Kyoto Katsura Hospital, 17 Yamadahirao-cho, Nishikyo-ku, Kyoto, 615-8256, Japan
| | - Shuji Ohtsu
- Department of Radiation Oncology, Kyoto City Hospital, 1-2 Mibuhigashitakada-cho, Nakagyo-ku, Kyoto, 604-8845, Japan
| | - Tomohiro Katagiri
- Department of Radiation Oncology, Tenri Hospital, 200 Mishima-cho, Tenri, Nara, 632-8552, Japan
| | - Masaru Narabayashi
- Department of Radiology, Japanese Red Cross Fukui Hospital, 2-4-1 Tsukimi, Fukui, 918-8501, Japan
| | - Satsuki Fujishiro
- Department of Radiation Oncology, Shinko Hospital, 1-4-47 Wakihama-cho, Chuo-ku, Kobe, Hyogo, 651-0072, Japan
| | - Yusuke Iizuka
- Department of Radiation Oncology, Shizuoka City Shizuoka Hospital, 10-93 Otemachi, Aoi-ku, Shizuoka, 420-8630, Japan
| | - Hiroaki Ozasa
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
| | - Takashi Mizowaki
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto, 606-8507, Japan
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8
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Guberina N, Pöttgen C, Santiago A, Levegrün S, Qamhiyeh S, Ringbaek TP, Guberina M, Lübcke W, Indenkämpen F, Stuschke M. Machine-learning-based prediction of the effectiveness of the delivered dose by exhale-gated radiotherapy for locally advanced lung cancer: The additional value of geometric over dosimetric parameters alone. Front Oncol 2023; 12:870432. [PMID: 36713497 PMCID: PMC9880443 DOI: 10.3389/fonc.2022.870432] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 12/08/2022] [Indexed: 01/15/2023] Open
Abstract
Purpose This study aimed to assess interfraction stability of the delivered dose distribution by exhale-gated volumetric modulated arc therapy (VMAT) or intensity-modulated arc therapy (IMAT) for lung cancer and to determine dominant prognostic dosimetric and geometric factors. Methods Clinical target volume (CTVPlan) from the planning CT was deformed to the exhale-gated daily CBCT scans to determine CTVi, treated by the respective dose fraction. The equivalent uniform dose of the CTVi was determined by the power law (gEUDi) and cell survival model (EUDiSF) as effectiveness measure for the delivered dose distribution. The following prognostic factors were analyzed: (I) minimum dose within the CTVi (Dmin_i), (II) Hausdorff distance (HDDi) between CTVi and CTVPlan, (III) doses and deformations at the point in CTVPlan at which the global minimum dose over all fractions per patient occurs (PDmin_global_i), and (IV) deformations at the point over all CTVi margins per patient with the largest Hausdorff distance (HDPworst). Prognostic value and generalizability of the prognostic factors were examined using cross-validated random forest or multilayer perceptron neural network (MLP) classifiers. Dose accumulation was performed using back deformation of the dose distribution from CTVi to CTVPlan. Results Altogether, 218 dose fractions (10 patients) were evaluated. There was a significant interpatient heterogeneity between the distributions of the normalized gEUDi values (p<0.0001, Kruskal-Wallis tests). Accumulated gEUD over all fractions per patient was 1.004-1.023 times of the prescribed dose. Accumulation led to tolerance of ~20% of fractions with gEUDi <93% of the prescribed dose. Normalized Dmin >60% was associated with predicted gEUD values above 95%. Dmin had the highest importance for predicting the gEUD over all analyzed prognostic parameters by out-of-bag loss reduction using the random forest procedure. Cross-validated random forest classifier based on Dmin as the sole input had the largest Pearson correlation coefficient (R=0.897) in comparison to classifiers using additional input variables. The neural network performed better than the random forest classifier, and the gEUD values predicted by the MLP classifier with Dmin as the sole input were correlated with the gEUD values characterized by R=0.933 (95% CI, 0.913-0.948). The performance of the full MLP model with all geometric input parameters was slightly better (R=0.952) than that based on Dmin (p=0.0034, Z-test). Conclusion Accumulated dose distributions over the treatment series were robust against interfraction CTV deformations using exhale gating and online image guidance. Dmin was the most important parameter for gEUD prediction for a single fraction. All other parameters did not lead to a markedly improved generalizable prediction. Dosimetric information, especially location and value of Dmin within the CTV i , are vital information for image-guided radiation treatment.
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Affiliation(s)
- Nika Guberina
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany,*Correspondence: Nika Guberina,
| | - Christoph Pöttgen
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Alina Santiago
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sabine Levegrün
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sima Qamhiyeh
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Toke Printz Ringbaek
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Maja Guberina
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Wolfgang Lübcke
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Frank Indenkämpen
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Martin Stuschke
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany,German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Essen, Germany
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9
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Zhou S, Meng Y, Sun X, Jin Z, Feng W, Yang H. The critical components for effective adaptive radiotherapy in patients with unresectable non-small-cell lung cancer: who, when and how. Future Oncol 2022; 18:3551-3562. [PMID: 36189758 DOI: 10.2217/fon-2022-0291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Adaptive radiotherapy (ART) is a new radiotherapy technology based on image-guided radiation therapy technology, used to avoid radiation overexposure to residual tumors and the surrounding normal tissues. Tumors undergoing the same radiation doses and modes can occur unequal shrinkage due to the variation of response times to radiation doses in different patients. To perform ART effectively, eligible patients with a high probability of benefits from ART need to be identified. Confirming the precise timetable for ART in every patient is another urgent problem to be resolved. Moreover, the outcomes of ART are different depending on the various image guidance used. This review discusses 'who, when and how' as the three key factors involved in the most effective implementation for the management of ART.
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Affiliation(s)
- Suna Zhou
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, Xi'an No.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shanxi, 710018, PR China
| | - Yinnan Meng
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Xuefeng Sun
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Zhicheng Jin
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Wei Feng
- Department of Radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, 310022, PR China
| | - Haihua Yang
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
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10
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Wurstbauer K, Kazil M, Meinschad M, Pinter R, De Vries C, Clemens P, Kreuter C, Hernler T, Hitzl W, Cerkl P, Künzler T, De Vries A. Locally advanced NSCLC: a plea for sparing the ipsilateral normal lung-prospective, clinical trial with DART-bid (dose-differentiated accelerated radiation therapy, 1.8 Gy twice daily) by VMAT. Radiat Oncol 2022; 17:120. [PMID: 35799182 PMCID: PMC9264580 DOI: 10.1186/s13014-022-02083-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
Background In radiation treatment of locally advanced non-small cell lung cancer (LA-NSCLC), ‘margins’ from internal target volumes to planning target volumes in the range of 12 to 23 mm are reported, and avoiding exposure of the contralateral lung is common practice. We investigated prospectively an approach with tight margins (7 mm) and maximal sparing of the ipsilateral normal lung. Mature results for the first endpoint (pneumonitis) and further toxicities are reported. Methods Primary tumors were treated by VMAT with 73.8–90.0 Gy in positive correlation to tumor volumes, nodes with 61.2 Gy, a restricted volume of nodes electively with 45 Gy. Fractional doses of 1.8 Gy bid, interval 8 h. Before radiotherapy, two cycles platin-based chemotherapy were given. 12 patients finished maintenance therapy with Durvalumab. Median follow up time for all patients is 19.4 months, for patients alive 27.0 months (3.4–66.5 months). Results 100 consecutive, unselected patients with LA-NSCLC in stages II through IVA were enrolled (UICC/AJCC, 8th edition). No acute grade 4/5 toxicity occurred. Pneumonitis grade 2 and 3 was observed in 12% and 2% of patients, respectively; lowering the risk of pneumonitis grade ≥ 2 in comparison to the largest study in the literature investigating pneumonitis in LA-NSCLC, is significant (p < 0.0006). Acute esophageal toxicity grade 1, 2 and 3 occurred in 12%, 57% and 3% of patients, respectively. Two patients showed late bronchial stricture/atelectasis grade 2. In two patients with lethal pulmonary haemorrhages a treatment correlation cannot be excluded. Median overall survival for all stage III patients, and for those with ‘RTOG 0617 inclusion criteria’ is 46.6 and 50.0 months, respectively. Conclusions Overall toxicity is low. In comparison to results in the literature, maximal sparing the ipsilateral normal lung lowers the risk for pneumonitis significantly. Trial registration Ethics committee of Vorarlberg, Austria; EK-0.04-105, Registered 04/09/2017—Retrospectively registered. http://www.ethikkommission-vorarlberg.at
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Affiliation(s)
- Karl Wurstbauer
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria.
| | - Margit Kazil
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
| | - Marco Meinschad
- Academic Teaching Hospital, Institute of Medical Physics, Feldkirch, Austria
| | - Raoul Pinter
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
| | - Catharina De Vries
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
| | - Patrick Clemens
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
| | - Christof Kreuter
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
| | - Tamara Hernler
- Department for Pneumology, Academic Teaching Hospital, Hohenems, Austria
| | - Wolfgang Hitzl
- Team Biostatistics and Publication of Clincial Studies, FM&TT, Paracelsus Medical University, Salzburg, Austria
| | - Peter Cerkl
- Department for Pneumology, Academic Teaching Hospital, Hohenems, Austria
| | - Thomas Künzler
- Academic Teaching Hospital, Institute of Medical Physics, Feldkirch, Austria
| | - Alexander De Vries
- Department for Radiation Oncology, Academic Teaching Hospital, Carinagasse 47, 6800, Feldkirch, Austria
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11
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Liu X, Shao C, Fu J. Promising Biomarkers of Radiation-Induced Lung Injury: A Review. Biomedicines 2021; 9:1181. [PMID: 34572367 PMCID: PMC8470495 DOI: 10.3390/biomedicines9091181] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/05/2021] [Accepted: 09/06/2021] [Indexed: 12/15/2022] Open
Abstract
Radiation-induced lung injury (RILI) is one of the main dose-limiting side effects in patients with thoracic cancer during radiotherapy. No reliable predictors or accurate risk models are currently available in clinical practice. Severe radiation pneumonitis (RP) or pulmonary fibrosis (PF) will reduce the quality of life, even when the anti-tumor treatment is effective for patients. Thus, precise prediction and early diagnosis of lung toxicity are critical to overcome this longstanding problem. This review summarizes the primary mechanisms and preclinical animal models of RILI reported in recent decades, and analyzes the most promising biomarkers for the early detection of lung complications. In general, ideal integrated models considering individual genetic susceptibility, clinical background parameters, and biological variations are encouraged to be built up, and more prospective investigations are still required to disclose the molecular mechanisms of RILI as well as to discover valuable intervention strategies.
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Affiliation(s)
- Xinglong Liu
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China;
| | - Chunlin Shao
- Institute of Radiation Medicine, Shanghai Medical College, Fudan University, Shanghai 200032, China;
| | - Jiamei Fu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China
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12
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Khandekar MJ, Keane FK. Radiation Dose and Fractionation in Locally Advanced Lung Cancer: A Simple Question With a Complicated Answer. JAMA Oncol 2021; 7:1505-1506. [PMID: 34383023 DOI: 10.1001/jamaoncol.2021.3180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Melin J Khandekar
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Florence K Keane
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston
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13
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Chen H, Shao Y, Gu X, Zheng Z, Wang H, Gu H, Duan Y, Feng A, Huang Y, Gan W, Chen C, Xu Z. Geometric and Dosimetric Changes in Tumor and Lung Tissue During Radiotherapy for Lung Cancer With Atelectasis. Front Oncol 2021; 11:690278. [PMID: 34367970 PMCID: PMC8339992 DOI: 10.3389/fonc.2021.690278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/21/2021] [Indexed: 11/13/2022] Open
Abstract
Background and Purpose This article retrospectively characterized the geometric and dosimetric changes in target and normal tissues during radiotherapy for lung cancer patients with atelectasis. Materials and Methods A total of 270 cone beam computed tomography (CBCT) scans of 18 lung patients with atelectasis were collected. The degree and time of resolution or expansion of the atelectasis were recorded. The geometric, dosimetric, and biological changes in the target and lung tissue were also quantified. Results There were two patients with expansion, four patients with complete regression, six patients with partial regression, and six patients with no change. The time of resolution or expansion varied. The tumor volume increased by 3.8% in the first seven fractions, then decreased from the 9th fraction, and by 33.4% at the last CBCT. In the LR direction, the average center of mass (COM), boundaries of the tumors gradually shifted mediastinally. In the AP direction, the COM of the tumors was shifted slightly in the posterior direction and then gradually shifted to the anterior direction; the boundaries of the tumors all moved mediastinally. In the SI direction, the COM of the tumors on the right side of the body was substantially shifted toward the head direction. The boundaries of the tumors varied greatly. D2, D98, Dmean, V95, V107, and TCP of the PTV were reduced during radiotherapy and were reduced to their lowest values during the last two fractions. The volume of the ipsilateral lung tended to increase gradually. The V5, V10, V20, V30, V40, and NTCP of the total lung gradually increased with the fraction. Conclusions For most patients, regression of the atelectasis occurred, and the volume of the ipsilateral lung tended to increase while the tumor volume decreased, and the COM and boundary of the tumors shifted toward mediastinum, which caused an insufficient dose to the target and an overdose to the lungs. Regression or expansion may occur for any fraction, and it is therefore recommended that CBCT be performed at least every other day.
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Affiliation(s)
- Hua Chen
- Institute of Modern Physics, Fudan Univerisity, Shanghai, China.,Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Yan Shao
- Institute of Modern Physics, Fudan Univerisity, Shanghai, China.,Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Xiaohua Gu
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Zhijie Zheng
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Hao Wang
- Institute of Modern Physics, Fudan Univerisity, Shanghai, China.,Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Hengle Gu
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Yanhua Duan
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Aihui Feng
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Ying Huang
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Wutian Gan
- School of Physical Science and Technology, Wuhan University, Wuhan, China
| | - Chongyang Chen
- Institute of Modern Physics, Fudan Univerisity, Shanghai, China
| | - Zhiyong Xu
- Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
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