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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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Ko M, Yang K, Ahn YC, Ju SG, Oh D, Kim YB, Kwon DY, Park S, Lee K. Dosimetric Comparison and Selection Criteria of Intensity-Modulated Proton Therapy and Intensity-Modulated Radiation Therapy for Adaptive Re-Plan in T3-4 Nasopharynx Cancer Patients. Cancers (Basel) 2024; 16:3402. [PMID: 39410022 PMCID: PMC11476283 DOI: 10.3390/cancers16193402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2024] [Revised: 10/01/2024] [Accepted: 10/03/2024] [Indexed: 10/20/2024] Open
Abstract
BACKGROUND Proton therapy requires caution when treating patients with targets near neural structures. Intuitive and quantitative guidelines are needed to support decision-making concerning the treatment modality. This study compared dosimetric profiles of intensity-modulated proton therapy (IMPT) and intensity-modulated radiation therapy (IMRT) using helical tomotherapy (HT) for adaptive re-planning in cT3-4 nasopharyngeal cancer (NPCa) patients, aiming to establish criteria for selecting appropriate treatment modalities. METHODS HT and IMPT plans were generated for 28 cT3-4 NPCa patients undergoing definitive radiotherapy. Dosimetric comparisons were performed for target coverage and high-priority organs at risk (OARs). The correlation between dosimetric parameters and RT modality selection was analyzed with the target OAR distances. RESULTS Target coverages were similar, while IMPT achieved better dose spillage. HT was more favorable for brainstem D1, optic chiasm Dmax, optic nerves Dmax, and p-cord D1. IMPT showed advantages for oral cavity Dmean. Actually, 14 IMPT and 14 HT plans were selected as adaptive plans, with IMPT allocated to most cT3 patients (92.9% vs. 42.9%, p = 0.013). The shortest distances from the target to neural structures were negatively correlated with OAR doses. Receiver operating characteristic curve analyses were carried out to discover the optimal cut-off values of the shortest distances between the target and the OARs (temporal lobes and brainstem), which were 0.75 cm (AUC = 0.908, specificity = 1.00) and 0.85 cm (AUC = 0.857, specificity = 0.929), respectively. CONCLUSIONS NPCa patients with cT4 tumor or with the shortest distance between the target and critical neural structures < 0.8 cm were suboptimal candidates for IMPT adaptive re-planning. These criteria may improve resource utilization and clinical outcomes.
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Affiliation(s)
- Mincheol Ko
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
- Department of Bio-Convergence Engineering, Korea University, Seoul 02841, Republic of Korea;
| | - Kyungmi Yang
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
| | - Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea;
| | - Sang Gyu Ju
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
| | - Dongryul Oh
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
| | - Yeong-bi Kim
- Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea;
| | - Dong Yeol Kwon
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
| | - Seyjoon Park
- Department of Radiation Oncology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul 06351, Republic of Korea; (M.K.); (K.Y.); (D.O.); (D.Y.K.); (S.P.)
| | - Kisung Lee
- Department of Bio-Convergence Engineering, Korea University, Seoul 02841, Republic of Korea;
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Jeong S, Jeon C, Lee D, Park W, Pyo H, Han Y. Evaluating psychological anxiety in patients receiving radiation therapy using smartwatch. Radiat Oncol J 2024; 42:148-153. [PMID: 38946077 PMCID: PMC11215504 DOI: 10.3857/roj.2023.01067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/06/2024] [Accepted: 02/22/2024] [Indexed: 07/02/2024] Open
Abstract
PURPOSE Patients undergoing radiation therapy (RT) often experience psychological anxiety that manifests as muscle contraction. Our study explored psychological anxiety in these patients by using biological signals recorded using a smartwatch. MATERIALS AND METHODS Informed consent was obtained from participating patients prior to the initiation of RT. The patients wore a smartwatch from the waiting room until the conclusion of the treatment. The smartwatch acquired data related to heart rate features (average, minimum, and maximum) and stress score features (average, minimum, and maximum). On the first day of treatment, we analyzed the participants' heart rates and stress scores before and during the treatment. The acquired data were categorized according to sex and age. For patients with more than three days of data, we observed trends in heart rate during treatment relative to heart rate before treatment (HRtb) over the course of treatment. Statistical analyses were performed using the Wilcoxon signed-rank test and paired t-test. RESULTS Twenty-nine individuals participated in the study, of which 17 had more than 3 days of data. During treatment, all patients exhibited elevated heart rates and stress scores, particularly those in the younger groups. The HRtb levels decreased as treatment progresses. CONCLUSION Patients undergoing RT experience notable psychological anxiety, which tends to diminish as the treatment progresses. Early stage interventions are crucial to alleviate patient anxiety during RT.
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Affiliation(s)
- Sangwoon Jeong
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Chanil Jeon
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
| | - Dongyeon Lee
- Department of Radiation Oncology, Samsung Medical Center, Seoul, Republic of Korea
| | - Won Park
- Department of Radiation Oncology, Samsung Medical Center, Seoul, Republic of Korea
| | - Hongryull Pyo
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Youngyih Han
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Song JM, Mo N, Lv YQ, Huang LL, Wen YJ, Liu T, Li ZR, Wang RS, Zhang TT. Effects of concurrent chemoradiotherapy with or without Endostar on the regression of retropharyngeal lymph node and prognosis of patients with locally advanced nasopharyngeal carcinoma: a retrospective study. J Cancer Res Clin Oncol 2024; 150:232. [PMID: 38703186 PMCID: PMC11069474 DOI: 10.1007/s00432-024-05762-x] [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: 02/02/2024] [Accepted: 04/23/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND AND PURPOSE To investigate the effect of combining Endostar with concurrent chemoradiotherapy (ECCRT) compared to concurrent chemoradiotherapy (CCRT) on the regression rate of retropharyngeal lymph nodes (RLNs) and the relationship between regression rate of RLNs and prognosis of patients with locally advanced nasopharyngeal carcinoma (LANPC). METHODS A total of 122 LANPC patients with RLNs metastasis were included. Metastatic RLNs were delineated both before and after treatment slice by slice on the magnetic resonance images cross-section. The regression rate of RLNs, adverse effects (AE) were evaluated. The median regression rate of RLNs was taken as the cut-off value, and the patients were furtherly divided into high regression rate (HRR) group and low regression rate (LRR) group, then survival times were evaluated. RESULTS The median regression rates of RLNs in the ECCRT and CCRT groups were 81% and 50%, respectively (P < 0.001). There was no statistically significant difference in the incidence of grade 3/4 AEs between the two groups, except for oral mucositis (ECCRT 26.23% vs. CCRT 44.26%, P = 0.037). The 3-year overall survival (OS), progression-free survival (PFS), distant metastasis-free survival (DMFS) and locoregional failure-free survival (LRFFS) rates in the HRR and LRR groups were 85.48% and 86.67% (P = 0.983), 80.65% and 68.33% (P = 0.037), 83.87% and 85% (P = 0.704), 93.55% and 81.67% (P = 0.033), respectively. CONCLUSIONS Patients in the ECCRT group had higher regression rates of RLNs and lower incidence of severe oral mucositis. Furthermore, patients in the HRR group had a better 3-year PFS and LRFFS rate than those in the LRR group.
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Affiliation(s)
- Jun-Mei Song
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Oncology Department, Nanchong Central Hospital, The Second Clinical Institute of North Sichuan Medical College, Nanchong, 637000, Sichuan, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Ning Mo
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Yu-Qing Lv
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Lu-Lu Huang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Ya-Jing Wen
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Ting Liu
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Zhi-Ru Li
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Ren-Sheng Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Ting-Ting Zhang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China.
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Nuyts S, Bollen H, Eisbruch A, Strojan P, Mendenhall WM, Ng SP, Ferlito A. Adaptive radiotherapy for head and neck cancer: Pitfalls and possibilities from the radiation oncologist's point of view. Cancer Med 2024; 13:e7192. [PMID: 38650546 PMCID: PMC11036082 DOI: 10.1002/cam4.7192] [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: 01/11/2024] [Revised: 03/19/2024] [Accepted: 04/03/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Patients with head and neck cancer (HNC) may experience substantial anatomical changes during the course of radiotherapy treatment. The implementation of adaptive radiotherapy (ART) proves effective in managing the consequent impact on the planned dose distribution. METHODS This narrative literature review comprehensively discusses the diverse strategies of ART in HNC and the documented dosimetric and clinical advantages associated with these approaches, while also addressing the current challenges for integration of ART into clinical practice. RESULTS AND CONCLUSION Although based on mainly non-randomized and retrospective trials, there is accumulating evidence that ART has the potential to reduce toxicity and improve quality of life and tumor control in HNC patients treated with RT. However, several questions remain regarding accurate patient selection, the ideal frequency and timing of replanning, and the appropriate way for image registration and dose calculation. Well-designed randomized prospective trials, with a predetermined protocol for both image registration and dose summation, are urgently needed to further investigate the dosimetric and clinical benefits of ART.
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Affiliation(s)
- Sandra Nuyts
- Laboratory of Experimental Radiotherapy, Department of OncologyKU LeuvenLeuvenBelgium
- Department of Radiation OncologyLeuven Cancer Institute, University Hospitals LeuvenLeuvenBelgium
| | - Heleen Bollen
- Laboratory of Experimental Radiotherapy, Department of OncologyKU LeuvenLeuvenBelgium
- Department of Radiation OncologyLeuven Cancer Institute, University Hospitals LeuvenLeuvenBelgium
| | - Avrahram Eisbruch
- Department of Radiation OncologyUniversity of MichiganAnn ArborMichiganUSA
| | - Primoz Strojan
- Department of Radiation Oncology Institute of OncologyUniversity of LjubljanaLjubljanaSlovenia
| | - William M. Mendenhall
- Department of Radiation OncologyUniversity of Florida College of MedicineGainesvilleFloridaUSA
| | - Sweet Ping Ng
- Department of Radiation OncologyOlivia Newton‐John Cancer and Wellness Centre, Austin HealthMelbourneAustralia
| | - Alfio Ferlito
- Coordinator International Head and Neck Scientific GroupUdineItaly
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Tang Q, Mei C, Huang B, Huang R, Kang L, Chen A, lei N, Deng P, Ying S, Zhang P, Qin Y. Risk stratification of LA-NPC during chemoradiotherapy based on clinical classification and TVRR. Cancer Med 2024; 13:e7029. [PMID: 38396378 PMCID: PMC10891362 DOI: 10.1002/cam4.7029] [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: 11/15/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
PURPOSE To investigate the correlation between tumor volume reduction rate (TVRR) and prognosis in patients with diverse clinical types of nasopharyngeal carcinoma (NPC) undergoing chemoradiotherapy, thereby aptly categorizing risks and directing the personalized treatment of NPC. MATERIALS AND METHODS A total of 605 NPC patients with varying clinical types were enrolled in this study and subsequently segregated into six subgroups based on their clinical types and TVRR. To accentuate the efficacy of grouping, Groups 1-6 underwent clustered analysis of hazard atio (HR) values pertaining to progression-free survival (PFS), forming three risk clusters denoted as low, intermediate, and high. The log-rank test was employed to discern differences, and R 4.1.1 was utilized for cluster analysis. RESULTS According to survival rates, we classified the first (G2 and G4), second (G1 and G6), and third (G3 and G5) risk clusters as low-, intermediate-, and high-risk, respectively. When comparing risk stratification with the 8th edition of the TNM staging system, our classification exhibited superior predictive prognostic performance. Subgroup analysis of treatments for each risk cluster revealed that the PFS in the neoadjuvant chemotherapy (NACT) + concurrent chemoradiotherapy (CCRT) group surpassed that of the CCRT group significantly (p < 0.05). CONCLUSION The reliance on clinical types and TVRR facilitates risk stratification of NPC during chemoradiotherapy, providing a foundation for physicians to tailor therapeutic strategies. Moreover, the risk cluster delineated for NPC patients during the mid-term of chemoradiotherapy stands as an independent prognostic factor for progression-free survival (PFS), overall survival (OS), distantmetastasis-free survival (DMFS), and local recurrence-free (LRRFS) posttreatment. Additionally, individuals in the high-risk cluster are recommended to undergo adjuvant chemotherapy after CCRT.
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Affiliation(s)
- Qianlong Tang
- Department of OncologySichuan Mianyang 404 Hospital, First People's Hospital of MianyangMianyangChina
| | - Chaorong Mei
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital.C.T.)ChengduChina
| | - Bei Huang
- Department of OncologyThird People's Hospital of MianyangMianyangChina
| | - Rui Huang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of MedicineUniversity of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan ProvinceChengduChina
| | - Le Kang
- Department of Hematology and OncologyAnyue County People's HospitalZiyangChina
| | - Ailin Chen
- West China Tianfu Hospital ,Sichuan UniversityChengduChina
| | - Na lei
- Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital.C.T.)ChengduChina
| | - Pengcheng Deng
- Department of OncologyChengdu Qingbaijiang District People's HospitalChengduChina
| | - Shouyan Ying
- Department of OncologyYunnan Cancer HospitalKunmingChina
| | - Peng Zhang
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of MedicineUniversity of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan ProvinceChengduChina
| | - Yuan Qin
- Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of MedicineUniversity of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan ProvinceChengduChina
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Liu X, Huang J, Qin Y, Zhang Z, Wu B, Yang K. Nomograms incorporating primary tumor response at mid-radiotherapy to predict survival in locoregionally advanced nasopharyngeal carcinoma. Head Neck 2023; 45:1922-1933. [PMID: 37204765 DOI: 10.1002/hed.27404] [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: 10/24/2022] [Revised: 04/11/2023] [Accepted: 05/07/2023] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND A nomogram that incorporates tumor response at mid-radiotherapy (mid-RT) to predict the prognosis of locoregionally advanced nasopharyngeal carcinoma (LA-NPC) has not been established. METHODS This study retrospectively reviewed 583 patients with LA-NPC who underwent magnetic resonance imaging scans at mid-RT (the fourth week of RT) between 2015 and 2019. RESULTS Primary tumor (PT) response at mid-RT was found to predict disease-free survival (DFS) and overall survival (OS). Independent factors from multivariable analysis to predict DFS and OS were assembled into nomograms with (nomograms Amid-RT and Bmid-RT ) or without (nomograms Abaseline and Bbaseline ) PT response. Internal validation revealed good performance of these nomograms in discrimination: C-statistics = 0.761 for nomogram Amid-RT and 0.809 for nomogram Bmid-RT , which showed better discrimination performance than (C-statistics: 0.755) nomogram Abaseline and (C-statistics: 0.798) nomogram Bbaseline (Z-statistic = 2.476, p < 0.05; Z-statistic = 1.971, p < 0.05). CONCLUSION The nomograms based on PT response at mid-RT showed favorable predictive accuracy for DFS and OS in patients with LA-NPC.
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Affiliation(s)
- Xixi Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - You Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhanjie Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bian Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kunyu Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Aliotta E, Hu YC, Zhang P, Lichtenwalner P, Caringi A, Allgood N, Tsai CJ, Zakeri K, Lee N, Zhang P, Cerviño L, Aristophanous M. Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy. J Appl Clin Med Phys 2023:e13959. [PMID: 37147912 DOI: 10.1002/acm2.13959] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/15/2022] [Accepted: 02/20/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND AND PURPOSE Anatomic changes during head and neck radiotherapy can impact dose delivery, necessitate adaptive replanning, and indicate patient-specific response to treatment. We have developed an automated system to track these changes through longitudinal MRI scans to aid identification and clinical intervention. The purpose of this article is to describe this tracking system and present results from an initial cohort of patients. MATERIALS AND METHODS The Automated Watchdog in Adaptive Radiotherapy Environment (AWARE) was developed to process longitudinal MRI data for radiotherapy patients. AWARE automatically identifies and collects weekly scans, propagates radiotherapy planning structures, computes structure changes over time, and reports important trends to the clinical team. AWARE also incorporates manual structure review and revision from clinical experts and dynamically updates tracking statistics when necessary. AWARE was applied to patients receiving weekly T2-weighted MRI scans during head and neck radiotherapy. Changes in nodal gross tumor volume (GTV) and parotid gland delineations were tracked over time to assess changes during treatment and identify early indicators of treatment response. RESULTS N = 91 patients were tracked and analyzed in this study. Nodal GTVs and parotids both shrunk considerably throughout treatment (-9.7 ± 7.7% and -3.7 ± 3.3% per week, respectively). Ipsilateral parotids shrunk significantly faster than contralateral (-4.3 ± 3.1% vs. -2.9 ± 3.3% per week, p = 0.005) and increased in distance from GTVs over time (+2.7 ± 7.2% per week, p < 1 × 10-5 ). Automatic structure propagations agreed well with manual revisions (Dice = 0.88 ± 0.09 for parotids and 0.80 ± 0.15 for GTVs), but for GTVs the agreement degraded 4-5 weeks after the start of treatment. Changes in GTV volume observed by AWARE as early as one week into treatment were predictive of large changes later in the course (AUC = 0.79). CONCLUSION AWARE automatically identified longitudinal changes in GTV and parotid volumes during radiotherapy. Results suggest that this system may be useful for identifying rapidly responding patients as early as one week into treatment.
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Affiliation(s)
- Eric Aliotta
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Yu-Chi Hu
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Peng Zhang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Phillip Lichtenwalner
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Amanda Caringi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Natasha Allgood
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - C Jillian Tsai
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Kaveh Zakeri
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Nancy Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Pengpeng Zhang
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Laura Cerviño
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Michalis Aristophanous
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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9
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Chen Q, Shen L, Li S. Tumor volume reduction after induction chemotherapy with gemcitabine plus cisplatin in nasopharyngeal carcinoma. Eur Arch Otorhinolaryngol 2022; 280:2497-2509. [PMID: 36572820 DOI: 10.1007/s00405-022-07809-6] [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: 11/05/2022] [Accepted: 12/18/2022] [Indexed: 12/28/2022]
Abstract
OBJECTIVES To evaluate the tumor volume reduction after induction chemotherapy (IC) with gemcitabine plus cisplatin (GP) and to build prediction models for tumor volume reduction in nasopharyngeal carcinoma (NPC). METHODS NPC patients who received GP IC were retrospectively enrolled. The gross tumor volume of the nasopharynx and lymph nodes (GTVnx and GTVnd) were contoured before and after IC. Univariate and multivariate analyses were performed to identify associated factors. Nomogram models were constructed to predict the possibility of tumor volume reduction. RESULTS A total of 192 patients were enrolled. The mean relative volume reduction for GTVnx and GTVnd was 29.66% and 31.75%, respectively. The volume reduction of GTVnx and GTVnd had a weak association (r = 0.229, p < 0.001). For GTVnx volume reduction, pre-treatment neutrophil count (p = 0.043), lymphocyte count (p = 0.026), LDH level (p = 0.005), and BMI (p = 0.020) were independently associated factors. For GTVnd volume reduction, pre-treatment EBV-DNA (p = 0.029), GTVnd volume (p < 0.001), eosinophil count (p = 0.043), NLR (p = 0.039), LDH level (p = 0.026), and serum potassium level (p = 0.027) were independently associated factors. For the GTVnx nomogram model, areas under the receiver-operating characteristic curve (AUC) were 0.702 and 0.698 for the training and validation cohorts, respectively. For the GTVnd nomogram model, the AUC was 0.872 and 0.758 for the training and validation cohorts, respectively. CONCLUSIONS Tumor volumes reduce significantly after GP induction chemotherapy. Nomogram models for predicting the possibility of tumor volume reduction are built.
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Affiliation(s)
- Qian Chen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Liangfang Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China
| | - Shan Li
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.
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Lin TC, Huang CH, Lien MY, Cheng FM, Li KC, Lin CY, Lin YC, Liang JA, Wang TH. Tumor Volume Reduction Rate to Induction Chemotherapy is a Prognostic Factor for Locally Advanced Head and Neck Squamous Cell Carcinoma: A Retrospective Cohort Study. Technol Cancer Res Treat 2022; 21:15330338221107714. [PMID: 35770906 PMCID: PMC9252009 DOI: 10.1177/15330338221107714] [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] [Indexed: 11/30/2022] Open
Abstract
Introduction: Aim of this retrospective cohort study is to evaluate the prognostic value of tumor volume reduction rate status post-induction chemotherapy in locally advanced head and neck squamous cell carcinoma. Methods: Patients newly diagnosed from year 2007 to 2016 at a single center were included in this retrospective study. All patients had received induction Taxotere, Platinum, Fluorouracil followed by daily definitive intensity-modulated radiotherapy for 70 Gy in 35 fractions concurrent with or without cisplatin-based chemotherapy. Tumor volume reduction rate was measured and calculated by contrast-enhanced computed tomography images at diagnosis, and after at least 1 cycle of induction chemotherapy, and analyzed though a univariate and multivariate Cox regression model. Results: Ninety patients of the primary cancer sites at hypopharynx (31/90, 34.4%), oropharynx (29/90, 32.2%), oral cavity (19/90, 21.1%), and larynx (11/90, 12.2%) were included in this study, with a median follow-up time interval of 3.9 years. In multivariate Cox regression analysis, the tumor volume reduction rate of the primary tumor (TVRR-T) was also an independently significant prognostic factor for disease-free survival (DFS) (hazard ratio 0.77, 95% confidence interval 0.62-0.97; P-value = .02). Other factors including patient's age at diagnosis, the primary cancer site, and RECIST (Response Evaluation Criteria in Solid Tumors), were not significantly related. At a cutoff value using 50% in Kaplan–Meier survival analysis, the DFS was higher with TVRR-T ≥ 50% group (log-rank test, P = .024), and a trend of improved overall survival. (log-rank test, P = .069). Conclusion: TVRR-T is a probable prognostic factor for DFS. With a cut-off point of 50%, TVRR-T may indicate better DFS.
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Affiliation(s)
- Ting-Chun Lin
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung
| | - Chi-Hsien Huang
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung
| | - Ming-Yu Lien
- Division of Hematology and Oncology, Department of Internal Medicine, 38020China Medical University Hospital, Taichung
| | - Fu-Ming Cheng
- Division of Hematology and Oncology, Department of Internal Medicine, 38020China Medical University Hospital, Taichung
| | - Kai-Chiun Li
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung
| | - Chih-Yuan Lin
- Department of Radiation Oncology Technicians, 36596Changhua Christian Hospital, Changhua.,Department of Biomedical Imaging and Radiological Sciences, 34914National Yang Ming Chiao Tung University, Taipei
| | - Ying-Chun Lin
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung
| | - Ji-An Liang
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung
| | - Ti-Hao Wang
- Department of Radiation Oncology, 38020China Medical University Hospital, Taichung.,38019China Medical University, Taichung
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Li Y, Zang J, Liu J, Luo S, Wang J, Hou B, Zhao L, Shi M. Residual Volume of Lymph Nodes During Chemoradiotherapy Based Nomogram to Predict Survival of Nasopharyngeal Carcinoma Patient Receiving Induction Chemotherapy. Front Oncol 2021; 11:739103. [PMID: 34552881 PMCID: PMC8451592 DOI: 10.3389/fonc.2021.739103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/16/2021] [Indexed: 01/22/2023] Open
Abstract
Purpose To accurately stratify nasopharyngeal carcinoma (NPC) patients who were benefit from induction chemotherapy (IC) followed by chemoradiotherapy (CCRT), we established residual volume of lymph nodes during chemoradiotherapy based nomogram to predict survival for NPC patients. Methods Cox regression analysis were used to evaluate predictive effects of tumor volume parameters. Multivariate Cox regression analysis was used to identify the prognostic factors, and nomogram models were developed to predict survival of NPC patients receiving IC followed by CCRT. Results Compared with other tumor volumetric parameters, midRT GTVnd was the best predictive factor for OS (HR: 1.043, 95%CI: 1.031-1.055), PFS (HR: 1.040, 95%CI: 1.030- 1.051), and DMFS (HR: 1.046, 95%CI: 1.034 – 1.059) according to the HR of Cox regression analysis. Based on multivariate analysis, three nomograms included midRT GTVnd were constructed to predict 4-year survival. The C-index of nomograms for each survival endpoints were as follow (training cohort vs. validation cohort): 0.746 vs. 0.731 for OS; 0.747 vs. 0.735 for PFS; 0.768 vs. 0.729 for DMFS, respectively. AUC showed a good discriminative ability. Calibration curves demonstrated a consistence between actual results and predictions. Decision curve analysis (DCA) showed that the nomograms had better clinical predictive effects than current TNM staging system. Conclusion We identified the best volumetric indicator associated with prognosis was the residual volume of lymph nodes at the fourth week of chemoradiotherapy for patients receiving IC followed by CCRT. We developed and validated three nomograms to predict specific probability of 4-year OS, PFS and DMFS for NPC patient receiving IC followed by CCRT.
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Affiliation(s)
- Yan Li
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jian Zang
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jingyi Liu
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Shanquan Luo
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jianhua Wang
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Bingxin Hou
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Lina Zhao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Mei Shi
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
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Gowin E, Jończyk-Potoczna K, Sosnowska-Sienkiewicz P, Belen Larque A, Kurzawa P, Januszkiewicz-Lewandowska D. Semi-Automatic Volumetric and Standard Three-Dimensional Measurements for Primary Tumor Evaluation and Response to Treatment Assessment in Pediatric Rhabdomyosarcoma. J Pers Med 2021; 11:jpm11080717. [PMID: 34442361 PMCID: PMC8399942 DOI: 10.3390/jpm11080717] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/11/2021] [Accepted: 07/23/2021] [Indexed: 02/06/2023] Open
Abstract
Current prognostic classification of rhabdomyosarcoma in children requires precise measurements of the tumor. The purpose of the study was to compare the standard three-dimensional (3D) measurements with semi-automatic tumor volume measurement method concerning assessment of the primary tumor size and the degree of response to treatment for rhabdomyosarcoma in children. Magnetic Resonance Imaging data on 31 children with treated rhabdomyosarcoma based on the Cooperative Weichteilsarkom Studiengruppe (CWS) guidance was evaluated. Tumor sizes were measured by two methods: 3D standard measurements and semi-automatic tumor volume measurement (VOI) at diagnosis, and after 9 and 17/18 weeks of the induction chemotherapy. Response to treatment and prediction values were assessed. The tumor volume medians calculated using VOI were significantly higher in comparison with those calculated using the 3D method both during the diagnosis as well as after 9 weeks of the chemotherapy and during the 17-18th week of the treatment. The volume measurements based on the generalized estimating equations on the VOI method were significantly better than the 3D method (p = 0.037). The volumetric measurements alone can hardly be considered an unequivocal marker used to make decisions on modification of the therapy in patients with rhabdomyosarcoma.
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Affiliation(s)
- Ewelina Gowin
- Department of Health Promotion, Poznan University of Medical Sciences, Święcickiego 6 Street, 60-781 Poznan, Poland;
| | - Katarzyna Jończyk-Potoczna
- Department of Pediatric Radiology, Poznan University of Medical Sciences, Szpitalna Street 27/33, 60-572 Poznan, Poland;
| | - Patrycja Sosnowska-Sienkiewicz
- Department of Pediatric Surgery, Traumatology and Urology, Poznan University of Medical Sciences, Szpitalna Street 27/33, 60-572 Poznan, Poland
- Correspondence: or ; Tel.: +48-61-849-15-78; Fax: +48-61-849-52-28
| | - Anna Belen Larque
- Department of Pathology, Hospital Clínic, Villarroel, 170, 08036 Barcelona, Spain;
| | - Paweł Kurzawa
- Department of Pathology, Hospital of Lord’s Transfiguration, University of Medical Sciences, Długa Street 1/2, 61-848 Poznan, Poland;
| | - Danuta Januszkiewicz-Lewandowska
- Department of Pediatric Oncology, Hematology and Transplantology, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland;
- Department of Medical Diagnostics, Dobra 38a, 60-595 Poznan, Poland
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13
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Yoon HG, Ahn YC, Oh D, Noh JM, Park SG, Nam H, Ju SG, Kwon D, Park S. Early Clinical Outcomes of Intensity Modulated Radiation Therapy/Intensity Modulated Proton Therapy Combination in Comparison with Intensity Modulated Radiation Therapy Alone in Oropharynx Cancer Patients. Cancers (Basel) 2021; 13:cancers13071549. [PMID: 33801766 PMCID: PMC8037748 DOI: 10.3390/cancers13071549] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/18/2021] [Accepted: 03/24/2021] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Intensity-modulated proton therapy (IMPT) is expected to reduce toxicity more effectively than intensity-modulated radiation therapy (IMRT) in treating oropharynx cancer (OPC) patients. Because of long waiting before starting IMPT, authors began IMRT first and then determined whether to continue IMRT or to switch into IMPT at time of adaptive re-plan, based on the rival plan comparison in 148 OPC patients. Early clinical outcomes were analyzed and compared between IMRT alone and IMRT/IMPT combination groups through propensity score matching method. We found that, with comparable oncologic outcomes, more favorable acute toxicity profiles (mucositis and need for analgesic use) were achieved following IMRT/IMPT combination than IMRT alone. Abstract Purpose: To report the early clinical outcomes of combining intensity-modulated radiation therapy (IMRT) and intensity-modulated proton therapy (IMPT) in comparison with IMRT alone in treating oropharynx cancer (OPC) patients. Materials and Methods: The medical records of 148 OPC patients who underwent definitive radiotherapy (RT) with concurrent systemic therapy, from January 2016 till December 2019 at Samsung Medical Center, were retrospectively reviewed. During the 5.5 weeks’ RT course, the initial 16 (or 18) fractions were delivered by IMRT in all patients, and the subsequent 12 (or 10) fractions were either by IMRT in 81 patients (IMRT only) or by IMPT in 67 (IMRT/IMPT combination), respectively, based on comparison of adaptive re-plan profiles and availability of equipment. Propensity-score matching (PSM) was done on 76 patients (38 from each group) for comparative analyses. Results: With the median follow-up of 24.7 months, there was no significant difference in overall survival and progression free survival between groups, both before and after PSM. Before PSM, the IMRT/IMPT combination group experienced grade ≥ 3 acute toxicities less frequently: mucositis in 37.0% and 13.4% (p < 0.001); and analgesic quantification algorithm (AQA) in 37.0% and 19.4% (p = 0.019), respectively. The same trends were observed after PSM: mucositis in 39.5% and 15.8% (p = 0.021); and AQA in 47.4% and 21.1% (p = 0.016), respectively. In multivariate logistic regression, grade ≥ 3 mucositis was significantly less frequent in the IMRT/IMPT combination group, both before and after PSM (p = 0.027 and 0.024, respectively). AQA score ≥ 3 was also less frequent in the IMRT/IMPT combination group, both before and after PSM (p = 0.085 and 0.018, respectively). Conclusions: In treating the OPC patients, with comparable early oncologic outcomes, more favorable acute toxicity profiles were achieved following IMRT/IMPT combination than IMRT alone.
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Affiliation(s)
- Han Gyul Yoon
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
| | - Yong Chan Ahn
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
- Correspondence:
| | - Dongryul Oh
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
| | - Jae Myoung Noh
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
| | - Seung Gyu Park
- Keimyung University Dongsan Medical Center, Department of Radiation Oncology, Keimyung University School of Medicine, Daegu 42601, Korea;
| | - Heerim Nam
- Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Korea;
| | - Sang Gyu Ju
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
| | - Dongyeol Kwon
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
| | - Seyjoon Park
- Samsung Medical Center, Department of Radiation Oncology, Sungkyunkwan University School of Medicine, Seoul 06351, Korea; (H.G.Y.); (D.O.); (J.M.N.); (S.G.J.); (D.K.); (S.P.)
- Yonsei Cancer Center, Department of Radiation Oncology, Yonsei University College of Medicine, Seoul 03722, Korea
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Yang K, Ahn YC, Nam H, Hong SD, Oh D, Noh JM. Clinical features of post-radiation nasopharyngeal necrosis and their outcomes following surgical intervention in nasopharyngeal cancer patients. Oral Oncol 2021; 114:105180. [PMID: 33497910 DOI: 10.1016/j.oraloncology.2021.105180] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/30/2020] [Accepted: 01/02/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE To investigate the incidence and clinical features of post-radiation nasopharyngeal necrosis (PRNN), and effectiveness of surgical intervention for its treatment. MATERIALS AND METHODS Retrospectively, we reviewed 380 NPC patients who underwent high dose radiotherapy (RT) (single RT in 355 and re-RT in 25) from January 2008 till December 2017 at the authors' institute, among who 22 developed Grade ≥ 3 PRNN. The management of PRNN was discussed through weekly multidisciplinary head and neck oncology conference, and surgical debridement was performed when feasible. RESULTS The incidence of PRNN was significantly higher following re-RT than in single RT (11/355, 3.1% vs. 11/25, 44.0%, p < 0.001). The PRNN patients in single RT group tended to be older and had more advanced initial tumor extents. The intervals from the latest RT start till PRNN assignment were similar between groups (7.3 vs. 6.6 months, p = 0.140). Nineteen patients underwent surgical debridement: two open; and 17 endoscopic approach, respectively. Endoscopic mucosal reconstruction was performed in eight patients. Resolution of PRNN was achieved in 11 patients (64.7%). The rates of 3-year overall survivals (OS) from the initial RT, latest RT (adjusting re-RT), and PRNN assignment were 84.4%, 70.9%, and 54.7%, respectively. Eight patients (36.4%) succumbed to death: NPC progression in three (13.6%); evidently PRNN-related events in two (9.1%), probably PRNN-related events in two (9.1%); and inter-current death in one (4.5%), respectively. CONCLUSION PRNN needs close collaboration among head and neck oncologists and could be successfully recovered, without compromising survival, following timely surgical intervention.
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Affiliation(s)
- Kyungmi Yang
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
| | - Heerim Nam
- Department of Radiation Oncology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Sang Duk Hong
- Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Dongryul Oh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Myoung Noh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
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Figen M, Çolpan Öksüz D, Duman E, Prestwich R, Dyker K, Cardale K, Ramasamy S, Murray P, Şen M. Radiotherapy for Head and Neck Cancer: Evaluation of Triggered Adaptive Replanning in Routine Practice. Front Oncol 2020; 10:579917. [PMID: 33282734 PMCID: PMC7690320 DOI: 10.3389/fonc.2020.579917] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/13/2020] [Indexed: 12/30/2022] Open
Abstract
Purpose and Objective A proportion of patients receiving radiotherapy for head and neck squamous cell carcinoma (HNSCC) require ad hoc treatment re-planning. The aim of this retrospective study is to analyze the patients who required ad hoc re-planning and to identify factors, which may predict need for re-planning. Materials and Methods A single center evaluation of all patients receiving radical or adjuvant (chemo)radiotherapy (CRT) for HNSCC between January and December 2016 was undertaken. Patients who underwent ad hoc re-planning during the treatment were identified in electronic records. Reasons for re-planning were categorized as: weight loss, tumor shrinkage, changes in patient position and immobilization-related factors. Potential trigger factors for adaptive radiotherapy such as patient characteristics, primary tumor site, stage, concomitant chemotherapy, weight loss ratios, radical/adjuvant treatment, and nutritional interventions were investigated. Results 31/290 (10.6%) HNSCC patients who underwent radical/adjuvant radiotherapy required re-planning. The adaptive radiotherapy (ART) was performed at a mean fraction of 15. The most common documented reasons for re-planning were tumor shrinkage (35.5%) and weight loss (35.5%). Among the patient/tumor/treatment factors, nasopharyngeal primary site (p = 0.013) and use of concurrent chemotherapy with radiotherapy (p = 0.034) were found to be significantly correlated with the need for re-planning. Conclusion Effective on-treatment verification schedules and close follow up of patients especially with NPC primary and/or treated with concurrent chemoradiotherapy are crucial to identify patients requiring ART. We suggest an individualized triggered approach to ART rather than scheduled strategies as it is likely to be more feasible in terms of utilization of workload and resources.
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Affiliation(s)
- Metin Figen
- Department of Radiation Oncology Şişli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey
| | - Didem Çolpan Öksüz
- Department of Radiation Oncology, Cerrahpaşa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Evrim Duman
- Department of Radiation Oncology Antalya Training and Research Hospital, Antalya, Turkey
| | - Robin Prestwich
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
| | - Karen Dyker
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
| | - Kate Cardale
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
| | - Satiavani Ramasamy
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
| | - Patrick Murray
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
| | - Mehmet Şen
- Department of Clinical Oncology, Leeds Cancer Center, St. James's Institute of Oncology, Leeds, United Kingdom
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16
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Li PJ, Li KX, Jin T, Lin HM, Fang JB, Yang SY, Shen W, Chen J, Zhang J, Chen XZ, Chen M, Chen YY. Predictive Model and Precaution for Oral Mucositis During Chemo-Radiotherapy in Nasopharyngeal Carcinoma Patients. Front Oncol 2020; 10:596822. [PMID: 33224892 PMCID: PMC7674619 DOI: 10.3389/fonc.2020.596822] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 10/13/2020] [Indexed: 12/24/2022] Open
Abstract
PURPOSE To explore risk factors for severe acute oral mucositis of nasopharyngeal carcinoma (NPC) patients receiving chemo-radiotherapy, build predictive models and determine preventive measures. METHODS AND MATERIALS Two hundred and seventy NPC patients receiving radical chemo-radiotherapy were included. Oral mucosa structure was contoured by oral cavity contour (OCC) and mucosa surface contour (MSC) methods. Oral mucositis during treatment was prospectively evaluated and divided into severe mucositis group (grade ≥ 3) and non-severe mucositis group (grade < 3) according to RTOG Acute Reaction Scoring System. Nineteen clinical features and nineteen dosimetric parameters were included in analysis, least absolute shrinkage and selection operator (LASSO) logistic regression model was used to construct a risk score (RS) system. RESULTS Two predictive models were built based on the two delineation methods. MSC based model is more simplified one, it includes body mass index (BMI) classification before radiation, retropharyngeal lymph node (RLN) area irradiation status and MSC V55%, RS = -1.480 + (0.021 × BMI classification before RT) + (0.126 × RLN irradiation) + (0.052 × MSC V55%). The cut-off of MSC based RS is -1.011, with an area under curve (AUC) of 0.737 (95%CI: 0.672-0.801), a specificity of 0.595 and a sensitivity of 0.786. OCC based model involved more variables, RS= -4.805+ (0.152 × BMI classification before RT) + (0.080 × RT Technique) + (0.097 × Concurrent Nimotuzumab) + (0.163 × RLN irradiation) + (0.028 × OCC V15%) + (0.120 × OCC V60%). The cut-off of OCC based RS is -0.950, with an AUC of 0.767 (95%CI: 0.702-0.831), a specificity of 0.602 and a sensitivity of 0.819. Analysis in testing set shown higher AUC of MSC based model than that of OCC based model (AUC: 0.782 vs 0.553). Analysis in entire set shown AUC in these two method-based models were close (AUC: 0.744 vs 0.717). CONCLUSION We constructed two risk score predictive models for severe oral mucositis based on clinical features and dosimetric parameters of nasopharyngeal carcinoma patients receiving chemo-radiotherapy. These models might help to discriminate high risk population in clinical practice that susceptible to severe oral mucositis and individualize treatment plan to prevent it.
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Affiliation(s)
- Pei-Jing Li
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Kai-Xin Li
- Department of Radiation Oncology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Ting Jin
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Hua-Ming Lin
- First Tumor Department, People’s Hospital of Maoming, Maoming, China
| | - Jia-Ben Fang
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Shuang-Yan Yang
- Radiation Center, Shanghai Pulmonary Hospital, Shanghai, China
| | - Wei Shen
- AI Research Institute, Hangzhou YITU Healthcare Technology Co. Ltd., Hangzhou, China
| | - Jia Chen
- AI Research Institute, Hangzhou YITU Healthcare Technology Co. Ltd., Hangzhou, China
| | - Jiang Zhang
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Xiao-Zhong Chen
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Ming Chen
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
| | - Yuan-Yuan Chen
- Department of Radiation Oncology, Cancer Hospital of University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Cancer and Basic Medicine (IBMC), Chinese Academy of Sciences, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou, China
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17
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Chan SK, Chan SY, Choi HCW, Tong CC, Lam KO, Kwong DLW, Vardhanabhuti V, Leung TW, Luk MY, Lee AWM, Lee VHF. Prognostication of Half-Life Clearance of Plasma EBV DNA in Previously Untreated Non-metastatic Nasopharyngeal Carcinoma Treated With Radical Intensity-Modulated Radiation Therapy. Front Oncol 2020; 10:1417. [PMID: 32974150 PMCID: PMC7472777 DOI: 10.3389/fonc.2020.01417] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Accepted: 07/06/2020] [Indexed: 11/30/2022] Open
Abstract
Introduction: The prognostic role of plasma Epstein–Barr virus (EBV) DNA clearance when intensity-modulated radiotherapy (IMRT) and the 8th edition of American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) TNM Staging Classification are fully implemented remains undeciphered. We investigated if its half-life clearance during radical treatment for non-metastatic nasopharyngeal carcinoma (NPC) was an early prognosticator. Patients and methods: Patients with previously untreated non-metastatic NPC were prospectively treated with radical IMRT and concurrent chemotherapy +/– induction/adjuvant chemotherapy from 2014 to 2018. Their plasma EBV DNA was measured immediately before treatment followed by weekly schedules until 0 copy/ml in two consecutive measurements. Cox regression models were employed to identify prognostic factors. Results: Forty-five patients were prospectively recruited and analyzed. After a median follow-up of 30.3 months, 2 (4.5%), 1 (2.3%), and 6 (13.6%) patients experienced local, regional, and distant relapses, respectively. The median half-life clearance of plasma EBV DNA was 7.92 days. Those with half-life clearance of >15 days had a worse 3-years progression-free survival (PFS) (79.5 vs. 25.0%, p = 0.005), distant metastasis-free survival (DMFS) (85.0 vs. 31.3%, p = 0.009), and overall survival (OS) (91.3 vs. 75.0%, p = 0.024) when compared to those with a shorter half-life. Multivariable analyses demonstrated that only half-life (>15 days) was prognostic of DMFS [HR (95% CI): 4.91 (1.31; 18.39), p = 0.01] and OS [HR (95% CI): 5.24 (1.06; 26.05)] while half-life (>15 days) [HR (95% CI): 5.14 (1.28; 22.73), p = 0.02] and sum of pretreatment gross tumor volumes of the primary nasopharyngeal tumor and the radiologically positive neck nodes (GTV_P+N) [HR (95% CI): 1.01 (1.00; 1.03), p = 0.02] were prognostic of PFS. Conclusion: The half-life clearance of plasma EBV DNA was prognostic in non-metastatic NPC staged and treated in the contemporary era. Earlier biomarker surveillance during treatment should be considered. Clinical Trial Registration: This study has been registered with ClinicalTrials.gov (Identifier: NCT03830996).
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Affiliation(s)
- Sik-Kwan Chan
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Sum-Yin Chan
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Horace Cheuk-Wai Choi
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Chi-Chung Tong
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Ka-On Lam
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Dora Lai-Wan Kwong
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Varut Vardhanabhuti
- Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - To-Wai Leung
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Mai-Yee Luk
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Anne Wing-Mui Lee
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - Victor Ho-Fun Lee
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.,Clinical Oncology Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
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18
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The comparison of prognostic value of tumour volumetric regression ratio and RECIST 1.1 criteria after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma. Oral Oncol 2020; 111:104924. [PMID: 32736209 DOI: 10.1016/j.oraloncology.2020.104924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 07/08/2020] [Accepted: 07/19/2020] [Indexed: 02/05/2023]
Abstract
PURPOSE To compare the prognostic value of the sum volumetric regression ratio (SVRR) of the primary tumour and metastatic lymph nodes with treatment response based on RECIST 1.1 criteria after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma (NPC). METHODS AND MATERIALS A total of 117 stage III-IVA NPC patients treated with induction chemotherapy followed by concurrent chemoradiotherapy (CCRT) were retrospectively reviewed. The SVRR and the treatment response based on RECIST 1.1 were measured using contrast-enhanced computed tomography (CT) localisations before and after induction chemotherapy. The receiver operating characteristic (ROC) curve analysis was used to identify the optimal cutoff point of the SVRR and compare the prognostic value of the SVRR and RECIST 1.1criteria. RESULTS The optimal cutoff points of SVRR for progression-free survival (PFS), locoregional failure-free survival (LRFFS) and distant metastasis-free survival (DMFS) were all 25.15%, while for overall survival (OS) it was 16.63%. The area under the ROC curve (AUC) of optimal cutoff points of SVRR was superior than that of RECIST 1.1 for PFS (AUC: 0.716 vs. 0.578; P = 0.0022), LRFFS (AUC: 0.700 vs. 0.574; P = 0.0080) and DMFS (AUC: 0.736 vs. 0.606; P = 0.0053), respectively. The 3-year PFS, DMFS and OS rates for SVRR less than vs. greater than or equal to the cutoff points were 55.8% vs. 92.2% (P < 0.001, hazard ratio (HR): 0.209, 95% confidence interval (CI): 0.091-0.480), 59.7% vs. 96.7% (P < 0.001, HR: 0.120, 95% CI: 0.043-0.336) and 66.7% vs. 98.1% (P < 0.001, HR: 0.069, 95% CI: 0.014-0.342), while the responses [stable disease (SD), partial response (PR)] based on RECIST 1.1 were not significantly associated with 3-year survival rates. Multivariate analysis indicated that SVRR was an independent prognostic factor for PFS, DMFS and OS (all P < 0.05). CONCLUSIONS The sum volumetric regression ratio and response based on RECIST 1.1 were related to the prognosis in locoregionally advanced NPC after induction chemotherapy. Sum volumetric regression ratio is an independent outcome predictor for survival in locoregionally advanced NPC, playing a better prognostic role than RECIST 1.1.
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19
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Yang H, Liu Y, Zhang R, Ye Y, Chen Q, Qin Q, Huang L, Li X, Cai R, Tang H, Jiang W. Prognostic value of the tumor volume reduction rate after neoadjuvant chemotherapy in patients with locoregional advanced nasopharyngeal carcinoma. Oral Oncol 2020; 110:104897. [PMID: 32679404 DOI: 10.1016/j.oraloncology.2020.104897] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 06/06/2020] [Accepted: 07/04/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE Aim of this study was to evaluate the prognostic value of the tumor volume reduction rate (TVRR) of neoadjuvant chemotherapy (NACT) in patients with locoregional advanced nasopharyngeal carcinoma (NPC). METHODS We collected the clinical data of 263 patients with locoregional advanced NPC receiving NACT and subsequent radiotherapy from two hospitals: a training cohort (n = 130) was obtained from one hospital and a validation cohort was obtained the other hospital (n = 133). By follow-up and calculating the TVRR of all patients, the prognostic value of the TVRR was analyzed though a univariate and multivariate Cox regression model. A cut-off point of the TVRR relating to survival was explored by means of the Youden index, and the prognostic value of the TNM stage plus TVRR was measured by creating receiver operating characteristic (ROC) curves. RESULTS 12.6%, a cut-off point of TVRR, was found to best predict DFS. Patients with a TVRR > 12.6% had better DFS (hazard ratio, 0.160, 95% confidence interval 0.072-0.354; P < 0.001), LRRFS (0.064, 0.013-0.310; 0.001) and DMFS (0.274, 0.106-0.711; 0.008) than patients with a TVRR ≤ 12.6%. The TVRR was a significant independent prognostic factor for OS, DFS, LRRFS and DMFS. Combining the TVRR and TNM stage enhanced the ability to predict DFS and LRRFS. CONCLUSIONS The TVRR of NACT is an independent prognostic factor for patients with locoregional advanced NPC receiving radiotherapy. Adding the TVRR to the original TNM staging system improves the prognostic value for locoregional advanced NPC.
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Affiliation(s)
- Huiyun Yang
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Yuanyuan Liu
- Department of Radiation Oncology, Wuzhou Red Cross Hospital, Wuzhou 543002, PR China
| | - Rongjun Zhang
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Yaomin Ye
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Qiuqiu Chen
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Qinghua Qin
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Liying Huang
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Xi Li
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Rui Cai
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Huaying Tang
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China
| | - Wei Jiang
- Department of Radiation Oncology, Guilin Medical University Affiliated Hospital, Guilin 541001, PR China; Department of Oncology, People's Hospital of Gongcheng Yao Autonomous County, Guilin 542500, PR China.
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20
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Gaines DK, Yegya-Raman N, Kim S, Simone CB, Theodorou Ross C, Deek MP, Lam S, Feigenberg SJ, Osorio B, Nie K, Zou W, Patel M, Malhotra J, Langenfeld J, Aisner J, Jabbour SK. Tumor volume reduction evaluated by cone beam computed tomography during stereotactic body radiotherapy for early stage non-small cell lung cancer. J Thorac Dis 2020; 12:2482-2488. [PMID: 32642155 PMCID: PMC7330363 DOI: 10.21037/jtd.2020.03.46] [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] [Indexed: 12/01/2022]
Abstract
Background We hypothesized that significant tumor volume reduction (TVR) occurs over the course of stereotactic body radiotherapy (SBRT) for early stage non-small cell lung cancer (NSCLC), and that TVR correlates with clinical outcomes. Methods We conducted a retrospective review of patients treated with SBRT for early stage NSCLC across two academic centers. For each patient, we contoured the tumor volume (TV) on cone beam computed tomography (CBCT) images obtained before each treatment fraction. We then calculated TVR based on the TV from the first and last days of treatment. We used log-rank tests to quantify differences in overall survival (OS), progression-free survival (PFS) and recurrence based on TVR. Results Data from 69 patients and a total of 73 treated tumors were analyzed. The median follow-up for survivors was 51.8 months (range, 6.9 to 80.0 months). The median TVR for the cohort was 10.1% (range, −5.7% to 43.5%). There was no significant difference in either OS (median 33.4 vs. 29.1 months, P=0.79) or PFS (median 26.3 vs. 12.3 months, P=0.43) for those with high TVRs (≥10.1%) vs. low TVRs (<10.1%), respectively. There was a trend toward superior 2-year PFS in the high TVR group (52.2% vs. 36.7%, P=0.062), but this effect diminished on longer follow-up (4-year PFS 31.9% vs. 26.7%, P=0.15). No associations were observed between TVR and local, regional or distant recurrence. Conclusions We were not able to demonstrate that TVR is a reliable predictive imaging marker for stage I/II NSCLC treated with SBRT. Future studies with larger sample sizes are needed to clarify a potential relationship between TVR and early outcomes.
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Affiliation(s)
- Dakim K Gaines
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Nikhil Yegya-Raman
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sinae Kim
- Department of Biostatistics, School of Public Health, Rutgers University, Piscataway, NJ, USA.,Biometrics Division, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Charles B Simone
- Department of Radiation Oncology, New York Proton Center, New York, NY, USA
| | - Christina Theodorou Ross
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Matthew P Deek
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.,Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Sarah Lam
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Steven J Feigenberg
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Benedict Osorio
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Ke Nie
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Wei Zou
- Department of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Malini Patel
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Jyoti Malhotra
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - John Langenfeld
- Department of Surgery, Section of Thoracic Surgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Joseph Aisner
- Division of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Salma K Jabbour
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
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21
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Morgan HE, Sher DJ. Adaptive radiotherapy for head and neck cancer. CANCERS OF THE HEAD & NECK 2020; 5:1. [PMID: 31938572 PMCID: PMC6953291 DOI: 10.1186/s41199-019-0046-z] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 11/11/2019] [Indexed: 12/14/2022]
Abstract
Background Although there have been dramatic improvements in radiotherapy for head and neck squamous cell carcinoma (HNSCC), including robust intensity modulation and daily image guidance, these advances are not able to account for inherent structural and spatial changes that may occur during treatment. Many sources have reported volume reductions in the primary target, nodal volumes, and parotid glands over treatment, which may result in unintended dosimetric changes affecting the side effect profile and even efficacy of the treatment. Adaptive radiotherapy (ART) is an exciting treatment paradigm that has been developed to directly adjust for these changes. Main body Adaptive radiotherapy may be divided into two categories: anatomy-adapted (A-ART) and response-adapted ART (R-ART). Anatomy-adapted ART is the process of re-planning patients based on structural and spatial changes occurring over treatment, with the intent of reducing overdosage of sensitive structures such as the parotids, improving dose homogeneity, and preserving coverage of the target. In contrast, response-adapted ART is the process of re-planning patients based on response to treatment, such that the target and/or dose changes as a function of interim imaging during treatment, with the intent of dose escalating persistent disease and/or de-escalating surrounding normal tissue. The impact of R-ART on local control and toxicity outcomes is actively being investigated in several currently accruing trials. Conclusions Anatomy-adapted ART is a promising modality to improve rates of xerostomia and coverage in individuals who experience significant volumetric changes during radiation, while R-ART is currently being studied to assess its utility in either dose escalation of radioresistant disease, or de-intensification of surrounding normal tissue following treatment response. In this paper, we will review the existing literature and recent advances regarding A-ART and R-ART.
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Affiliation(s)
- Howard E Morgan
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, 2280 Inwood Rd, Dallas, TX 75390 USA
| | - David J Sher
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, 2280 Inwood Rd, Dallas, TX 75390 USA
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22
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Yu TT, Lam SK, To LH, Tse KY, Cheng NY, Fan YN, Lo CL, Or KW, Chan ML, Hui KC, Chan FC, Hui WM, Ngai LK, Lee FKH, Au KH, Yip CWY, Zhang Y, Cai J. Pretreatment Prediction of Adaptive Radiation Therapy Eligibility Using MRI-Based Radiomics for Advanced Nasopharyngeal Carcinoma Patients. Front Oncol 2019; 9:1050. [PMID: 31681588 PMCID: PMC6805774 DOI: 10.3389/fonc.2019.01050] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 09/26/2019] [Indexed: 01/19/2023] Open
Abstract
Background and purpose: Adaptive radiotherapy (ART) can compensate for the dosimetric impacts induced by anatomic and geometric variations in patients with nasopharyngeal carcinoma (NPC); Yet, the need for ART can only be assessed during the radiation treatment and the implementation of ART is resource intensive. Therefore, we aimed to determine tumoral biomarkers using pre-treatment MR images for predicting ART eligibility in NPC patients prior to the start of treatment. Methods: Seventy patients with biopsy-proven NPC (Stage II-IVB) in 2015 were enrolled into this retrospective study. Pre-treatment contrast-enhanced T1-w (CET1-w), T2-w MR images were processed and filtered using Laplacian of Gaussian (LoG) filter before radiomic features extraction. A total of 479 radiomics features, including the first-order (n = 90), shape (n = 14), and texture features (n = 375), were initially extracted from Gross-Tumor-Volume of primary tumor (GTVnp) using CET1-w, T2-w MR images. Patients were randomly divided into a training set (n = 51) and testing set (n = 19). The least absolute shrinkage and selection operator (LASSO) logistic regression model was applied for radiomic model construction in training set to select the most predictive features to predict patients who were replanned and assessed in the testing set. A double cross-validation approach of 100 resampled iterations with 3-fold nested cross-validation was employed in LASSO during model construction. The predictive performance of each model was evaluated using the area under the receiver operator characteristic (ROC) curve (AUC). Results: In the present cohort, 13 of 70 patients (18.6%) underwent ART. Average AUCs in training and testing sets were 0.962 (95%CI: 0.961-0.963) and 0.852 (95%CI: 0.847-0.857) with 8 selected features for CET1-w model; 0.895 (95%CI: 0.893-0.896) and 0.750 (95%CI: 0.745-0.755) with 6 selected features for T2-w model; and 0.984 (95%CI: 0.983-0.984) and 0.930 (95%CI: 0.928-0.933) with 6 selected features for joint T1-T2 model, respectively. In general, the joint T1-T2 model outperformed either CET1-w or T2-w model alone. Conclusions: Our study successfully showed promising capability of MRI-based radiomics features for pre-treatment identification of ART eligibility in NPC patients.
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Affiliation(s)
- Ting-Ting Yu
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Sai-Kit Lam
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Lok-Hang To
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ka-Yan Tse
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Nong-Yi Cheng
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Yeuk-Nam Fan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Cheuk-Lai Lo
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ka-Wa Or
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Man-Lok Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Ka-Ching Hui
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Fong-Chi Chan
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Wai-Ming Hui
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Lo-Kin Ngai
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
| | - Francis Kar-Ho Lee
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China
| | - Kwok-Hung Au
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China
| | - Celia Wai-Yi Yip
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China
| | - Yong Zhang
- Department of Physics, Xiamen University, Xiamen, China
| | - Jing Cai
- Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hung Hom, Hong Kong
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23
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Park SG, Ahn YC, Oh D, Noh JM, Ju SG, Kwon D, Jo K, Chung K, Chung E, Lee W, Park S. Early clinical outcomes of helical tomotherapy/intensity-modulated proton therapy combination in nasopharynx cancer. Cancer Sci 2019; 110:2867-2874. [PMID: 31237050 PMCID: PMC6726680 DOI: 10.1111/cas.14115] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 06/17/2019] [Accepted: 06/22/2019] [Indexed: 11/30/2022] Open
Abstract
This study aimed to evaluate the feasibility of combining helical tomotherapy (HT) and intensity‐modulated proton therapy (IMPT) in treating patients with nasopharynx cancer (NPC). From January 2016 to March 2018, 98 patients received definitive radiation therapy (RT) with concurrent chemotherapy (CCRT). Using simultaneous integrated boost and adaptive re‐plan, 3 different dose levels were prescribed: 68.4 Gy in 30 parts to gross tumor volume (GTV), 60 Gy in 30 parts to high‐risk clinical target volume (CTV), and 36 Gy in 18 parts to low‐risk CTV. In all patients, the initial 18 fractions were delivered by HT, and, after rival plan evaluation on the adaptive re‐plan, the later 12 fractions were delivered either by HT in 63 patients (64.3%, HT only) or IMPT in 35 patients (35.7%, HT/IMPT combination), respectively. Propensity‐score matching was conducted to control differences in patient characteristics. In all patients, grade ≥ 2 mucositis (69.8% vs 45.7%, P = .019) and grade ≥ 2 analgesic usage (54% vs 37.1%, P = .110) were found to be less frequent in HT/IMPT group. In matched patients, grade ≥ 2 mucositis were still less frequent numerically in HT/IMPT group (62.9% vs 45.7%, P = .150). In univariate analysis, stage IV disease and larger GTV volume were associated with increased grade ≥ 2 mucositis. There was no significant factor in multivariate analysis. With the median 14 month follow‐up, locoregional and distant failures occurred in 9 (9.2%) and 12 (12.2%) patients without difference by RT modality. In conclusion, comparable early oncologic outcomes with more favorable acute toxicity profiles were achievable by HT/IMPT combination in treating NPC patients.
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Affiliation(s)
- Seung Gyu Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Radiation Oncology, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Korea
| | - Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dongryul Oh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jae Myoung Noh
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sang Gyu Ju
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dongyeol Kwon
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kwanghyun Jo
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kwangzoo Chung
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eunah Chung
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Woojin Lee
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seyjoon Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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24
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Ahn YC. Less is more: role of additional chemotherapy to concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal cancer management. Radiat Oncol J 2019; 37:67-72. [PMID: 31266287 PMCID: PMC6610008 DOI: 10.3857/roj.2019.00311] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 06/21/2019] [Accepted: 06/24/2019] [Indexed: 11/03/2022] Open
Abstract
Concurrent chemoradiation therapy (CCRT) has played the most important and central role in the definitive therapy for the patients with locoregionally advanced stage nasopharynx cancer. The addition of induction chemotherapy (IC) or adjuvant chemotherapy (AC) to CCRT have been widely accepted with the rationale of improving distant control in the clinical practices. This review article investigated the role of IC and AC based on 11 recent meta-analysis publications, and found that the clinical benefits obtained by the additional IC or AC to CCRT, at the cost of the increased risks of more frequent and more severe side effects, seemed not big enough. More intervention is not always better, however, less seems frequently good enough. The author would speculate that 'less is more' and would advocate CCRT alone as the current standard.
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Affiliation(s)
- Yong Chan Ahn
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Xiang Z, Liu F, Yan R, Zeng Y, He T, Zeng Z, Zhu Z, Bai L, Ma J, Liu L. The prognostic value of volumetric reduction of the target lesions after induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma. Head Neck 2019; 41:1863-1872. [PMID: 30620441 DOI: 10.1002/hed.25620] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 11/11/2018] [Accepted: 12/12/2018] [Indexed: 02/06/2023] Open
Affiliation(s)
- Zhong‐zheng Xiang
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Fang Liu
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Ruo‐nan Yan
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Yuan‐yuan Zeng
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Tao He
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Zhen Zeng
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Zhi‐hui Zhu
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Long Bai
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Jia‐chun Ma
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
| | - Lei Liu
- Department of Head and Neck Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China HospitalSichuan University Chengdu Sichuan P.R. China
- Department of Radiation Oncology, Cancer Center, West China HospitalSichuan University Chengdu Sichuan P.R. China
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Hu YC, Tsai KW, Lee CC, Peng NJ, Chien JC, Tseng HH, Chen PC, Lin JC, Liu WS. Which nasopharyngeal cancer patients need adaptive radiotherapy? BMC Cancer 2018; 18:1234. [PMID: 30526538 PMCID: PMC6288867 DOI: 10.1186/s12885-018-5159-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 11/29/2018] [Indexed: 11/16/2022] Open
Abstract
Background Adaptive radiotherapy (ART) has potential benefits in patients with nasopharyngeal cancer (NPC). This retrospective study aimed to identify the factors favoring ART. Materials and methods Forty NPC patients were retrospectively included in this study. All patients received two-phase, volumetric modulated arc radiotherapy (VMAT) and underwent a second computed tomography (CT) for the phase II ART. We generated phantom, non-ART plans by a hybrid method for comparison with ART plans. A paired t-test was used to evaluate the dose differences between these two plans. A subgroup analysis through a paired t-test was used to evaluate the factors favoring ART. Results The second CT images were captured at the median 22 fractions. The median total dose of the planning target volume-one (PTV-1) was 72 Gy, and the phase II dose was 16 Gy. The volumes of the ipsilateral parotid gland (23.2 vs. 19.2 ml, p < 0.000), contralateral parotid gland (23.0 vs. 18.4 ml, p < 0.000), clinical target volume-1 (CTV-1, 32.2 vs. 20.9 ml, p < 0.000), and PTV-1 (125.8 vs. 107.3 ml, p < 0.000) all shrunk significantly between these two CT simulation procedures. Among the nearby critical organs, only the ipsilateral parotid gland displayed significant dose reduction by the ART plan (5.3 vs. 6.0 Gy, p = 0.004). Compared to the phantom plan, the ART could significantly improve the PTV-1 target volume coverage of D98 (15.4 vs. 12.3 Gy, p < 0.000). Based on the D98 of PTV-1, the factors of a large initial weight (> 60 kg, p < 0.000), large body mass index (BMI) (> 21.5, p < 0.000), obvious weight loss (> 2.8 kg, p < 0.000), concurrent chemoradiotherapy (p < 0.000), and stages III–IV (p < 0.000) favored the use of ART. Conclusions ART could significantly reduce the mean dose to the ipsilateral parotid gland. ART has dosimetrical benefit for patients with a heavy initial weight, large BMI, obvious weight loss, concurrent chemoradiotherapy, and cancer in stages III–IV.
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Affiliation(s)
- Yu-Chang Hu
- Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Kuo-Wang Tsai
- Department of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.,Department of Chemical Biology, National Pingtung University of Education, Pingtung, Taiwan
| | - Ching-Chih Lee
- School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Department of ENT, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Nan-Jing Peng
- School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Department of Nuclear Medicine, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Ju-Chun Chien
- Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Hsin-Hui Tseng
- Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Po-Chun Chen
- Department of Radiation oncology, Pingtung Christian Hospital, Pingtung, Taiwan.,Graduate Institute of Bioresources, National Pingtung University of Science and Technology, Pingtung, Taiwan
| | - Jin-Ching Lin
- Department of Radiation Oncology, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Wen-Shan Liu
- Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. .,School of Medicine, National Defense Medical Center, Taipei, Taiwan.
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