Pub Date : 2026-02-01DOI: 10.1016/j.radonc.2026.111416
Melanie Machiels, Orit Kaidar-Person, Gustavo N Marta, Icro Meattini, Philip Poortmans
The recently published 10-year results of the SUPREMO trial offer valuable insights into the role of postmastectomy radiotherapy (PMRT) to the chest wall alone in low- to intermediate-risk breast cancer patients. However, the trial s design and evolving standards in surgery, radiation therapy (RT), and systemic therapy necessitate careful interpretation. Main findings. SUPREMO enrolled 1,600 patients, primarily with pT1-2N1M0 and pT3N0M0 disease, and reported no significant overall survival (OS) benefit at 10 years. Major protocol modifications-including reduced sample size, extended accrual, and broadened eligibility criteria-were required to ensure trial completion but compromised statistical power and generalizability. The trial s limited use of regional nodal irradiation (RNI), including internal mammary node (IMN) coverage, further limits its applicability in the context of modern evidence demonstrating clear survival benefits from comprehensive RNI. Moreover, pathology quality assurance discrepancies, evolving surgical practices (from modified radical mastectomy to more conservative approaches), and advances in systemic therapy have fundamentally altered risk profiles and treatment paradigms. CONCLUSION: While SUPREMO contributes to understanding PMRT's historical role, its relevance to contemporary multimodal breast cancer management is limited. The restriction to chest wall irradiation, omission of RNI, and the predominance oflower-end intermediate-risk disease(including many patients withnode-negative or limited nodal involvement) diminish its clinical impact. Future trials must integrate biology-driven risk stratification, contemporary surgical and systemic standards, and precise RT definitions, requiring pragmatic designs, robust QA, and accelerated accrual to remain relevant and avoid undertreatment in selected patients who may still benefit from PMRT.
{"title":"Reconsidering the role of PMRT in low to intermediate risk breast cancer: Applying results from previous standards of treatment in the current multimodal practice.","authors":"Melanie Machiels, Orit Kaidar-Person, Gustavo N Marta, Icro Meattini, Philip Poortmans","doi":"10.1016/j.radonc.2026.111416","DOIUrl":"10.1016/j.radonc.2026.111416","url":null,"abstract":"<p><p>The recently published 10-year results of the SUPREMO trial offer valuable insights into the role of postmastectomy radiotherapy (PMRT) to the chest wall alone in low- to intermediate-risk breast cancer patients. However, the trial s design and evolving standards in surgery, radiation therapy (RT), and systemic therapy necessitate careful interpretation. Main findings. SUPREMO enrolled 1,600 patients, primarily with pT1-2N1M0 and pT3N0M0 disease, and reported no significant overall survival (OS) benefit at 10 years. Major protocol modifications-including reduced sample size, extended accrual, and broadened eligibility criteria-were required to ensure trial completion but compromised statistical power and generalizability. The trial s limited use of regional nodal irradiation (RNI), including internal mammary node (IMN) coverage, further limits its applicability in the context of modern evidence demonstrating clear survival benefits from comprehensive RNI. Moreover, pathology quality assurance discrepancies, evolving surgical practices (from modified radical mastectomy to more conservative approaches), and advances in systemic therapy have fundamentally altered risk profiles and treatment paradigms. CONCLUSION: While SUPREMO contributes to understanding PMRT's historical role, its relevance to contemporary multimodal breast cancer management is limited. The restriction to chest wall irradiation, omission of RNI, and the predominance oflower-end intermediate-risk disease(including many patients withnode-negative or limited nodal involvement) diminish its clinical impact. Future trials must integrate biology-driven risk stratification, contemporary surgical and systemic standards, and precise RT definitions, requiring pragmatic designs, robust QA, and accelerated accrual to remain relevant and avoid undertreatment in selected patients who may still benefit from PMRT.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111416"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-31DOI: 10.1016/j.radonc.2026.111414
Rémy Kinj, Luis Schiappacasse, Veljko Grilj, Zoi Tsourti, Frédéric Duclos, Marine Hebeisen, Wendy Jeanneret-Sozzi, Stéphanie Viguet-Carrin, Julie Chenal, Patrik Goncalves Jorge, Walter Reiner Geyer, Gian Guyer, Claude Bailat, François Bochud, Fernanda G Herrera, Raphaël Moeckli, Urania Dafni, Olivier Gaide, Jean Bourhis
Introduction: The observation in preclinical studies that FLASH radiotherapy (FLASH-RT) can spare normal tissues while maintaining its anti-tumoral effect provided the rational for its clinical translation. In this context, this clinical trial presents the first-in-human dose-escalation trial of FLASH-RT.
Materials and methods: This phase I clinical trial enrolled patients presenting progressive melanoma with cutaneous metastases refractory to systemic treatment. A 3 + 3 dose-escalation design was used to determine the maximum tolerated dose (MTD), starting at 22 Gy and escalating in 2 Gy increments up to 28 Gy. Dose-limiting toxicity (DLT) was defined as any Grade ≥ 3 adverse event occurring in the irradiated field within 4 weeks post-RT. FLASH-RT was delivered using a 9 MeV Mobetron (IntraOp, USA) at a dose rate exceeding 200 Gy/s, delivered in 10 pulses over 90 ms. For all patients, dosimetry was performed using alanine, thermoluminescent dosimeters (TLD), and films.
Results: Between June 2021 and September 2024, 11 patients were enrolled, with 15 lesions treated in 10 out of these patients. One patient was enrolled at two different dose levels for distinct lesions. The trial initially aimed to dose escalation up to 34 Gy but was discontinued after completing of dose level 28 Gy due to slow accrual. No DLTs were observed at any of the administered dose levels (22-28 Gy), and the MTD was not reached.
Conclusion: Dose escalation of FLASH-RT delivered in a single fraction up to 28 Gy did not induce DLTs in the irradiation field, indicating a favorable tolerance of human tissue to the acute effects of FLASH-RT.
{"title":"A phase I dose escalation of FLASH radiotherapy in patients with cutaneous metastases from melanoma: The IMPulse trial.","authors":"Rémy Kinj, Luis Schiappacasse, Veljko Grilj, Zoi Tsourti, Frédéric Duclos, Marine Hebeisen, Wendy Jeanneret-Sozzi, Stéphanie Viguet-Carrin, Julie Chenal, Patrik Goncalves Jorge, Walter Reiner Geyer, Gian Guyer, Claude Bailat, François Bochud, Fernanda G Herrera, Raphaël Moeckli, Urania Dafni, Olivier Gaide, Jean Bourhis","doi":"10.1016/j.radonc.2026.111414","DOIUrl":"https://doi.org/10.1016/j.radonc.2026.111414","url":null,"abstract":"<p><strong>Introduction: </strong>The observation in preclinical studies that FLASH radiotherapy (FLASH-RT) can spare normal tissues while maintaining its anti-tumoral effect provided the rational for its clinical translation. In this context, this clinical trial presents the first-in-human dose-escalation trial of FLASH-RT.</p><p><strong>Materials and methods: </strong>This phase I clinical trial enrolled patients presenting progressive melanoma with cutaneous metastases refractory to systemic treatment. A 3 + 3 dose-escalation design was used to determine the maximum tolerated dose (MTD), starting at 22 Gy and escalating in 2 Gy increments up to 28 Gy. Dose-limiting toxicity (DLT) was defined as any Grade ≥ 3 adverse event occurring in the irradiated field within 4 weeks post-RT. FLASH-RT was delivered using a 9 MeV Mobetron (IntraOp, USA) at a dose rate exceeding 200 Gy/s, delivered in 10 pulses over 90 ms. For all patients, dosimetry was performed using alanine, thermoluminescent dosimeters (TLD), and films.</p><p><strong>Results: </strong>Between June 2021 and September 2024, 11 patients were enrolled, with 15 lesions treated in 10 out of these patients. One patient was enrolled at two different dose levels for distinct lesions. The trial initially aimed to dose escalation up to 34 Gy but was discontinued after completing of dose level 28 Gy due to slow accrual. No DLTs were observed at any of the administered dose levels (22-28 Gy), and the MTD was not reached.</p><p><strong>Conclusion: </strong>Dose escalation of FLASH-RT delivered in a single fraction up to 28 Gy did not induce DLTs in the irradiation field, indicating a favorable tolerance of human tissue to the acute effects of FLASH-RT.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111414"},"PeriodicalIF":5.3,"publicationDate":"2026-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146107000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.radonc.2026.111406
Anne Sophie V M van den Heerik, Nanda Horeweg, Marie A D Haverkort, Nienke Kuijsters, Stefan Kommoss, Friederike L A Koppe, Marlies E Nowee, Henrike Westerveld, Maria A A de Jong, Filip Frühauf, Jeltsje S Cnossen, Jan Willem M Mens, Jannet C Beukema, Cyrus Chargari, Charles Gillham, Dorine S J Tseng, Katrien Vandecasteele, Moritz Hamann, Mandy Kiderlen, Stephan Polterauer, Annette Staebler, Hans W Nijman, Bastiaan G Wortman, Stephanie M De Boer, Karen W Verhoeven-Adema, Remi A Nout, Hein Putter, Vincent T H B M Smit, Carien L Creutzberg, Wilbert B van den Hout
Purpose: The international PORTEC-4a trial demonstrated that individualised adjuvant-treatment for women with (high)intermediate risk endometrial cancer (HIR-EC), guided by a molecular-integrated-risk-profile, achieves similar high local tumour control, while nearly half of patients were spared adjuvant-treatment. Although determination of the molecular-integrated-profile increases diagnostics costs due to additional immunohistochemistry and DNA-sequencing, these costs may be offset by savings on other care and improved patient outcomes.
Patients and methods: Women with early-stage HIR-EC eligible for the PORTEC-4a trial, were randomised (2:1) to either adjuvant-treatment according to their molecular-integrated-profile or standard vaginal brachytherapy (VBT). EC-related costs were evaluated from a healthcare perspective over a three-year follow-up period. Costs were related to quality-adjusted-life-years (QALYs) using the EORTC-QLU-C10D instrument. T-test compared mean QALYs and costs, with multiple imputation for missing data.
Results: All 564 patients were included in the cost-utility-analysis; 367 in molecular-profile-arm and 197 in standard-arm. QALYs were comparable (p = 0.58). Total healthcare costs were somewhat, but not significantly, lower in molecular-profile-arm compared to standard-arm (€11,898 vs €13,047, p = 0.11). Costs spent up until recurrence were significantly lower in molecular-profile-arm (€9,995 vs €11,926, p < 0.01), while there was no significant difference in treatment for recurrence (€1,903 vs €1,121, p = 0.17). At a willingness-to-pay threshold of €20,000/QALY, the strategy as proposed by PORTEC-4a was 89% likely to be cost-effective.
Conclusion: Individualised adjuvant-treatment based on a molecular-integrated-profile was more cost-effective than standard VBT for patients with HIR-EC. These results further support the implementation of the molecular-integrated-profile in routine clinical practice.
{"title":"Cost-utility-analysis of molecular-integrated-profile for women with (high)intermediate risk endometrial cancer - PORTEC-4a an international, randomised, phase 3 trial.","authors":"Anne Sophie V M van den Heerik, Nanda Horeweg, Marie A D Haverkort, Nienke Kuijsters, Stefan Kommoss, Friederike L A Koppe, Marlies E Nowee, Henrike Westerveld, Maria A A de Jong, Filip Frühauf, Jeltsje S Cnossen, Jan Willem M Mens, Jannet C Beukema, Cyrus Chargari, Charles Gillham, Dorine S J Tseng, Katrien Vandecasteele, Moritz Hamann, Mandy Kiderlen, Stephan Polterauer, Annette Staebler, Hans W Nijman, Bastiaan G Wortman, Stephanie M De Boer, Karen W Verhoeven-Adema, Remi A Nout, Hein Putter, Vincent T H B M Smit, Carien L Creutzberg, Wilbert B van den Hout","doi":"10.1016/j.radonc.2026.111406","DOIUrl":"https://doi.org/10.1016/j.radonc.2026.111406","url":null,"abstract":"<p><strong>Purpose: </strong>The international PORTEC-4a trial demonstrated that individualised adjuvant-treatment for women with (high)intermediate risk endometrial cancer (HIR-EC), guided by a molecular-integrated-risk-profile, achieves similar high local tumour control, while nearly half of patients were spared adjuvant-treatment. Although determination of the molecular-integrated-profile increases diagnostics costs due to additional immunohistochemistry and DNA-sequencing, these costs may be offset by savings on other care and improved patient outcomes.</p><p><strong>Patients and methods: </strong>Women with early-stage HIR-EC eligible for the PORTEC-4a trial, were randomised (2:1) to either adjuvant-treatment according to their molecular-integrated-profile or standard vaginal brachytherapy (VBT). EC-related costs were evaluated from a healthcare perspective over a three-year follow-up period. Costs were related to quality-adjusted-life-years (QALYs) using the EORTC-QLU-C10D instrument. T-test compared mean QALYs and costs, with multiple imputation for missing data.</p><p><strong>Results: </strong>All 564 patients were included in the cost-utility-analysis; 367 in molecular-profile-arm and 197 in standard-arm. QALYs were comparable (p = 0.58). Total healthcare costs were somewhat, but not significantly, lower in molecular-profile-arm compared to standard-arm (€11,898 vs €13,047, p = 0.11). Costs spent up until recurrence were significantly lower in molecular-profile-arm (€9,995 vs €11,926, p < 0.01), while there was no significant difference in treatment for recurrence (€1,903 vs €1,121, p = 0.17). At a willingness-to-pay threshold of €20,000/QALY, the strategy as proposed by PORTEC-4a was 89% likely to be cost-effective.</p><p><strong>Conclusion: </strong>Individualised adjuvant-treatment based on a molecular-integrated-profile was more cost-effective than standard VBT for patients with HIR-EC. These results further support the implementation of the molecular-integrated-profile in routine clinical practice.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111406"},"PeriodicalIF":5.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.radonc.2026.111405
Sofia Spampinato, Sezen Kutluyer, Saliha Almaz, Nicoline Schuur, Jobert Sturm, Miranda E M C Christianen, Jan Willem Mens, Helena C van Doorn, Henrike Westerveld
Purpose: Treatment for locally advanced cervical cancer (LACC), and especially brachytherapy, can be physically and psychologically demanding for patients. The IMPRaCC study (Impact of primary Radiotherapy on the psychosocial well-being of patients with LACC) aimed to investigate risk factors, peak moments of distress, and unmet needs.
Material and methods: Analyses of EORTC-C30 questionnaires in a cohort of LACC patients (2019-2024) were combined with semi-structured interviews 4-16 weeks post-treatment. Questionnaires were collected at baseline, during treatment, and regularly throughout follow-up up to two years. Linear-mixed models evaluated changes in scores from baseline. Scores were also compared to a healthy reference population. Logistic regression identified factors associated with deteriorations in emotional (EF) and social functioning (SF) and fatigue during treatment and follow-ups. Interviews were evaluated using thematic analyses.
Results: Among 142 LACC patients, baseline EF and SF were impaired compared to the reference population during treatment, but improved in follow-up. Deteriorations in EF, SF and fatigue were more frequent during treatment (18.6%, 48.8%, 62.8%) than follow-up (10.4%, 25%, 34.4%). Psychiatric history was associated with worse SF during treatment, while being in a relationship and psychological support were protective factors. Brachytherapy delivered in four vs. three fractions seemed to be associated with worse EF, SF and fatigue. Interviews with 13 patients revealed emotional distress, especially before brachytherapy, and need for clear and consistent communication across multiple healthcare professionals.
Conclusion: Psychiatric history assessments, psychological support, and consistent communication support tailored care for LACC patients. Brachytherapy regimens of three fractions may further reduce psychosocial distress.
{"title":"Impact of primary radiotherapy on the psychosocial well-being of patients with locally advanced cervical cancer (IMPRaCC study).","authors":"Sofia Spampinato, Sezen Kutluyer, Saliha Almaz, Nicoline Schuur, Jobert Sturm, Miranda E M C Christianen, Jan Willem Mens, Helena C van Doorn, Henrike Westerveld","doi":"10.1016/j.radonc.2026.111405","DOIUrl":"https://doi.org/10.1016/j.radonc.2026.111405","url":null,"abstract":"<p><strong>Purpose: </strong>Treatment for locally advanced cervical cancer (LACC), and especially brachytherapy, can be physically and psychologically demanding for patients. The IMPRaCC study (Impact of primary Radiotherapy on the psychosocial well-being of patients with LACC) aimed to investigate risk factors, peak moments of distress, and unmet needs.</p><p><strong>Material and methods: </strong>Analyses of EORTC-C30 questionnaires in a cohort of LACC patients (2019-2024) were combined with semi-structured interviews 4-16 weeks post-treatment. Questionnaires were collected at baseline, during treatment, and regularly throughout follow-up up to two years. Linear-mixed models evaluated changes in scores from baseline. Scores were also compared to a healthy reference population. Logistic regression identified factors associated with deteriorations in emotional (EF) and social functioning (SF) and fatigue during treatment and follow-ups. Interviews were evaluated using thematic analyses.</p><p><strong>Results: </strong>Among 142 LACC patients, baseline EF and SF were impaired compared to the reference population during treatment, but improved in follow-up. Deteriorations in EF, SF and fatigue were more frequent during treatment (18.6%, 48.8%, 62.8%) than follow-up (10.4%, 25%, 34.4%). Psychiatric history was associated with worse SF during treatment, while being in a relationship and psychological support were protective factors. Brachytherapy delivered in four vs. three fractions seemed to be associated with worse EF, SF and fatigue. Interviews with 13 patients revealed emotional distress, especially before brachytherapy, and need for clear and consistent communication across multiple healthcare professionals.</p><p><strong>Conclusion: </strong>Psychiatric history assessments, psychological support, and consistent communication support tailored care for LACC patients. Brachytherapy regimens of three fractions may further reduce psychosocial distress.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111405"},"PeriodicalIF":5.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.radonc.2026.111411
Felix Ehret, Jimm Grimm, Samuel M Vorbach, Oliver Blanck, Alexander Rühle
{"title":"Response to \"A threshold without a map: Why isodose normalization must accompany D95/D2 TCP cutpoints\".","authors":"Felix Ehret, Jimm Grimm, Samuel M Vorbach, Oliver Blanck, Alexander Rühle","doi":"10.1016/j.radonc.2026.111411","DOIUrl":"https://doi.org/10.1016/j.radonc.2026.111411","url":null,"abstract":"","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111411"},"PeriodicalIF":5.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-30DOI: 10.1016/j.radonc.2026.111384
Kari Tanderup, Anna M Kirby, Jesper Grau Eriksen, Nuria Jornet, Jenny Bertholet, Chiara Gasparotto, Marianne C Aznar, Luca Boldrini, Kerstin Borgmann, Catharine H Clark, Elizabeth Forde, Barbara A Jereczek-Fossa, Uulke A van der Heide, Coen Hurkmans, Icro Meattini, Piet Ost, Esther G C Troost, Alessandro Cortese, Matthias Guckenberger
Climate change, pollution, and resource depletion pose significant challenges to modern society, including the healthcare sector. While the delivery of health services inherently entails energy and resource utilization, the health care sector has a relevant role to play for sustainable development, since it is estimated to account for approximately 4.7% of total greenhouse gas emissions in the EU whilst also contributing to natural resource depletion, toxic chemical release, and the generation of non-compostable waste. In response, the European Society for Radiotherapy and Oncology (ESTRO) established the Green Task Force in 2022 to support the development of a strategic framework, which integrates environmental sustainability into ESTRO's activities. This position paper presents ESTRO's principles for environmental sustainability, which focus on four key areas: (1) raising awareness and sharing best practices, (2) monitoring the environmental impact of ESTRO's activities, (3) evaluating interventions to reduce carbon emissions and improve the environmental sustainability of ESTRO activities, and (4) embedding sustainability into governance and professional activities. Examples of strategies which can reduce climate impact of ESTRO activities include advocating for environmentally conscious radiotherapy practices, considering venues that facilitate shorter travelling for participants in ESTRO conferences and educational activities, promoting digital participation, facilitating sustainable travel options and promoting healthy lifestyle. By emphasizing sustainability, ESTRO aims to lead the radiation oncology community toward a more environmentally responsible future, balancing scientific progress with climate-conscious practices. This initiative aligns with global sustainability goals and underscores the role of oncology professionals in addressing the climate crisis.
{"title":"ESTRO's principles for environmental sustainability in the radiation oncology community.","authors":"Kari Tanderup, Anna M Kirby, Jesper Grau Eriksen, Nuria Jornet, Jenny Bertholet, Chiara Gasparotto, Marianne C Aznar, Luca Boldrini, Kerstin Borgmann, Catharine H Clark, Elizabeth Forde, Barbara A Jereczek-Fossa, Uulke A van der Heide, Coen Hurkmans, Icro Meattini, Piet Ost, Esther G C Troost, Alessandro Cortese, Matthias Guckenberger","doi":"10.1016/j.radonc.2026.111384","DOIUrl":"10.1016/j.radonc.2026.111384","url":null,"abstract":"<p><p>Climate change, pollution, and resource depletion pose significant challenges to modern society, including the healthcare sector. While the delivery of health services inherently entails energy and resource utilization, the health care sector has a relevant role to play for sustainable development, since it is estimated to account for approximately 4.7% of total greenhouse gas emissions in the EU whilst also contributing to natural resource depletion, toxic chemical release, and the generation of non-compostable waste. In response, the European Society for Radiotherapy and Oncology (ESTRO) established the Green Task Force in 2022 to support the development of a strategic framework, which integrates environmental sustainability into ESTRO's activities. This position paper presents ESTRO's principles for environmental sustainability, which focus on four key areas: (1) raising awareness and sharing best practices, (2) monitoring the environmental impact of ESTRO's activities, (3) evaluating interventions to reduce carbon emissions and improve the environmental sustainability of ESTRO activities, and (4) embedding sustainability into governance and professional activities. Examples of strategies which can reduce climate impact of ESTRO activities include advocating for environmentally conscious radiotherapy practices, considering venues that facilitate shorter travelling for participants in ESTRO conferences and educational activities, promoting digital participation, facilitating sustainable travel options and promoting healthy lifestyle. By emphasizing sustainability, ESTRO aims to lead the radiation oncology community toward a more environmentally responsible future, balancing scientific progress with climate-conscious practices. This initiative aligns with global sustainability goals and underscores the role of oncology professionals in addressing the climate crisis.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111384"},"PeriodicalIF":5.3,"publicationDate":"2026-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146100468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-27DOI: 10.1016/j.radonc.2026.111404
Sofie Tilbæk, Stine Elleberg Petersen, Liliana Stolarczyk, Kasper Lind Laursen, Steffen Bjerre Hokland, Susan BlakNyrup Biancardo, Kirsten Legaard Jakobsen, Rasmus Havelund, Terje Andersen, Bjarke Mortensen, Christine Vestergård Madsen, Anders Schwartz Vittrup, Henriette Lindberg, Dorthe Yakymenko, Jimmi Søndergaard, Ludvig Paul Muren
Background and purpose: Proton therapy offers potentially improved normal tissue sparing compared to photon-based whole-pelvic radiotherapy (WPRT) for high-risk prostate cancer, but its sensitivity to anatomical and setup variations raises concerns about robustness. The aim of this study was - within the setting of a multicentre randomised clinical trial - to explore whether the dose-volume advantages of proton therapy persisted when subject to inter-fractional variation.
Materials and methods: Five patients treated with WPRT at a national proton centre were included. Comparative photon plans were created independently by five photon therapy centres. Nominal proton and photon plans were evaluated alongside recalculated plans on two repeat computed tomography scans per patient and with robustness scenarios simulating geometric uncertainties. Dose-volume metrics for target volumes and normal tissues were compared between the two modalities using linear mixed effects models accounting for patient and centre variability.
Results: Target coverage was consistently robust for both modalities across all plan types. Proton therapy resulted in significantly reduced bowel V35Gy by 11.2 percentage points (95% CI [4.1:18.4], p = 0.01) and bowel mean dose by 13.9 Gy (95% CI [9.5:18.4], p < 0.001). Bladder mean dose was also lower with proton therapy (reduced by 18.4 Gy, p = 0.02). These advantages remained consistent across nominal, recalculated, and uncertainty scenario plans. No consistent modality-related differences were observed for high-dose normal tissue metrics.
Conclusion: Within this robustness-inclusive multicentre comparison study, proton-based WPRT maintained target coverage comparable to photon therapy and consistently reduced low- and intermediate-dose exposure to normal tissues, while demonstrating preserved robustness under the influence of inter-fractional variation.
背景和目的:与基于光子的全盆腔放疗(WPRT)相比,质子治疗对高危前列腺癌的正常组织保留有潜在的改善,但其对解剖学和设置变化的敏感性引起了对稳健性的担忧。本研究的目的是-在多中心随机临床试验的背景下-探索质子治疗的剂量-体积优势是否在受到分数间变化时持续存在。材料和方法:在国家质子中心接受WPRT治疗的5例患者。比较光子计划由五个光子治疗中心独立创建。在每位患者两次重复计算机断层扫描和模拟几何不确定性的鲁棒性情景中,评估了标称质子和光子计划以及重新计算的计划。使用考虑患者和中心可变性的线性混合效应模型,比较两种模式下靶体积和正常组织的剂量-体积指标。结果:在所有计划类型的两种模式中,目标覆盖率始终是稳健的。质子治疗导致肠道V35Gy显著降低11.2个百分点(95% CI [4.1:18.4], p = 0.01),肠道平均剂量显著降低13.9 Gy (95% CI [9.5:18.4], p )。结论:在这项包含稳定期的多中心比较研究中,基于质子的WPRT保持了与光子治疗相当的靶点覆盖率,并持续减少了低剂量和中剂量对正常组织的暴露,同时在分数间变化的影响下保持了稳定期。
{"title":"A robustness-inclusive comparison of proton- versus photon-based whole-pelvic radiotherapy for prostate cancer within a randomised clinical trial.","authors":"Sofie Tilbæk, Stine Elleberg Petersen, Liliana Stolarczyk, Kasper Lind Laursen, Steffen Bjerre Hokland, Susan BlakNyrup Biancardo, Kirsten Legaard Jakobsen, Rasmus Havelund, Terje Andersen, Bjarke Mortensen, Christine Vestergård Madsen, Anders Schwartz Vittrup, Henriette Lindberg, Dorthe Yakymenko, Jimmi Søndergaard, Ludvig Paul Muren","doi":"10.1016/j.radonc.2026.111404","DOIUrl":"10.1016/j.radonc.2026.111404","url":null,"abstract":"<p><strong>Background and purpose: </strong>Proton therapy offers potentially improved normal tissue sparing compared to photon-based whole-pelvic radiotherapy (WPRT) for high-risk prostate cancer, but its sensitivity to anatomical and setup variations raises concerns about robustness. The aim of this study was - within the setting of a multicentre randomised clinical trial - to explore whether the dose-volume advantages of proton therapy persisted when subject to inter-fractional variation.</p><p><strong>Materials and methods: </strong>Five patients treated with WPRT at a national proton centre were included. Comparative photon plans were created independently by five photon therapy centres. Nominal proton and photon plans were evaluated alongside recalculated plans on two repeat computed tomography scans per patient and with robustness scenarios simulating geometric uncertainties. Dose-volume metrics for target volumes and normal tissues were compared between the two modalities using linear mixed effects models accounting for patient and centre variability.</p><p><strong>Results: </strong>Target coverage was consistently robust for both modalities across all plan types. Proton therapy resulted in significantly reduced bowel V<sub>35Gy</sub> by 11.2 percentage points (95% CI [4.1:18.4], p = 0.01) and bowel mean dose by 13.9 Gy (95% CI [9.5:18.4], p < 0.001). Bladder mean dose was also lower with proton therapy (reduced by 18.4 Gy, p = 0.02). These advantages remained consistent across nominal, recalculated, and uncertainty scenario plans. No consistent modality-related differences were observed for high-dose normal tissue metrics.</p><p><strong>Conclusion: </strong>Within this robustness-inclusive multicentre comparison study, proton-based WPRT maintained target coverage comparable to photon therapy and consistently reduced low- and intermediate-dose exposure to normal tissues, while demonstrating preserved robustness under the influence of inter-fractional variation.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111404"},"PeriodicalIF":5.3,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146087010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.radonc.2026.111390
Heng Zhang , Jiangyi Ding , Longzhen Zhang , Jun Li , Mingjun Ding , Liang Li , Xiaoxiao Hou , Wei Chen , Kangkang Sun , Nannan Cao , Ziyi Wang , Kai Xie , Xia He , Xinye Ni
Purpose
To develop and validate an MRI–based fusion model (Rad–SRad–SwinT) integrating conventional radiomics (Rad), subregional radiomics (SRad), and Transformer–derived deep learning features (Swin Transformer, SwinT) to predict post–radiotherapy radiation–induced carotid artery injury (RICAI) in nasopharyngeal carcinoma (NPC).
Materials and methods
In this multicenter retrospective study, 500 NPC patients from four hospitals were allocated to training (n = 274), internal testing (n = 118), and external testing cohorts (n = 108). Rad features were extracted from MRI–defined carotid artery regions of interest, SRad features from K-means–derived subregions, and deep features from a SwinT backbone. Single-source and fusion models were developed. Discrimination (AUC), classification (ACC/SEN/SPE), calibration (Brier score and calibration curves), reclassification (NRI/IDI), and interpretability (SHAP) were assessed.
Results
RICAI was observed in 48.5%, 48.3%, and 54.6% of the training, internal testing, and external testing cohorts, respectively. Among single–source models, SwinT and SRad showed comparable performance, with Rad slightly inferior; all outperformed the clinical model. The fused Rad–SRad–SwinT achieved the best performance, with AUCs of 0.814 (95% CI: 0.737–0.891) in internal testing and 0.871 (95% CI: 0.794–0.932) in external testing, alongside favorable classification in external testing (ACC 0.815, SEN 0.763, SPE 0.878) and good calibration (Brier score 0.148). NRI/IDI analyses indicated significantly improved reclassification versus single-source models. SHAP analyses demonstrated that SwinT-derived features contributed most to model decisions, followed by SRad and Rad, supporting complementary gains from deep semantic representation and subregional heterogeneity quantification.
Conclusion
Integrating multilevel radiomics with Transformer–derived deep learning features enhances prediction of RICAI after NPC radiotherapy and shows promise as a noninvasive risk–stratification tool.
{"title":"MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study","authors":"Heng Zhang , Jiangyi Ding , Longzhen Zhang , Jun Li , Mingjun Ding , Liang Li , Xiaoxiao Hou , Wei Chen , Kangkang Sun , Nannan Cao , Ziyi Wang , Kai Xie , Xia He , Xinye Ni","doi":"10.1016/j.radonc.2026.111390","DOIUrl":"10.1016/j.radonc.2026.111390","url":null,"abstract":"<div><h3>Purpose</h3><div>To develop and validate an MRI–based fusion model (Rad–SRad–SwinT) integrating conventional radiomics (Rad), subregional radiomics (SRad), and Transformer–derived deep learning features (Swin Transformer, SwinT) to predict post–radiotherapy radiation–induced carotid artery injury (RICAI) in nasopharyngeal carcinoma (NPC).</div></div><div><h3>Materials and methods</h3><div>In this multicenter retrospective study, 500 NPC patients from four hospitals were allocated to training (n = 274), internal testing (n = 118), and external testing cohorts (n = 108). Rad features were extracted from MRI–defined carotid artery regions of interest, SRad features from K-means–derived subregions, and deep features from a SwinT backbone. Single-source and fusion models were developed. Discrimination (AUC), classification (ACC/SEN/SPE), calibration (Brier score and calibration curves), reclassification (NRI/IDI), and interpretability (SHAP) were assessed.</div></div><div><h3>Results</h3><div>RICAI was observed in 48.5%, 48.3%, and 54.6% of the training, internal testing, and external testing cohorts, respectively. Among single–source models, SwinT and SRad showed comparable performance, with Rad slightly inferior; all outperformed the clinical model. The fused Rad–SRad–SwinT achieved the best performance, with AUCs of 0.814 (95% CI: 0.737–0.891) in internal testing and 0.871 (95% CI: 0.794–0.932) in external testing, alongside favorable classification in external testing (ACC 0.815, SEN 0.763, SPE 0.878) and good calibration (Brier score 0.148). NRI/IDI analyses indicated significantly improved reclassification versus single-source models. SHAP analyses demonstrated that SwinT-derived features contributed most to model decisions, followed by SRad and Rad, supporting complementary gains from deep semantic representation and subregional heterogeneity quantification.</div></div><div><h3>Conclusion</h3><div>Integrating multilevel radiomics with Transformer–derived deep learning features enhances prediction of RICAI after NPC radiotherapy and shows promise as a noninvasive risk–stratification tool.</div></div>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":"217 ","pages":"Article 111390"},"PeriodicalIF":5.3,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146053362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.radonc.2026.111389
Claire van Vliet, Joyce Caro, Omar Bohoudi, Axel Bex, Daphne Damhoff, Fons J M van den Eertwegh, Niels M Graafland, Brunolf W Lagerveld, Jeroen R A van Moorselaar, Miguel A Palacios, Shyama U Tetar, Sonja Verheijen, Nienke W Weitkamp, Antoinet van der Wel, Patricia J Zondervan, Ben J Slotman, Anna M E Bruynzeel
Background and purpose: Patients with renal cell carcinoma (RCC) in a solitary kidney have limited treatment options. Stereotactic MRI-guided adaptive radiotherapy (SMART) offers a non-invasive alternative that preserves healthy kidney tissue. This study evaluated the clinical outcomes of SMART in patients with renal tumors in a solitary kidney. Oncological outcomes, renal function preservation, and treatment-related toxicity were assessed.
Materials and methods: All consecutive patients with RCC in a solitary kidney treated with SMART between 2018 and 2024 in a single center were analyzed. Local control was defined as any response or stable disease using RECIST criteria. Kaplan-Meier analysis was used for survival outcomes and paired t-tests assessed renal function changes.
Results: Thirty-two patients with a median age of 70 years were included. Most patients had WHO status 0-1 (93.8%) and had prior nephrectomy for RCC (78.1%). Median tumor size was 4.2 cm, and median pre-treatment eGFR was 45.8 ml/min. Seven patients were treated for multiple lesions, in simultaneous or separate sessions. Most patients were treated in a single (22.8%) or five (74.3%) fractions. After a median follow-up of 21.3 months, the local control rates at 1 and 2 years were 96.2% and 90.1%, respectively. Mean eGFR change was -6.6 ml/min, none required dialysis. No grade ≥ 3 toxicity was observed. The overall survival rate at 2 years was 80.9%.
Conclusion: SMART provides high local control with minimal impact on renal function, offering a non-invasive, kidney-sparing treatment option that also enables repeated treatments within the solitary kidney.
{"title":"Clinical outcomes of stereotactic MRI-guided adaptive radiotherapy for renal tumors in patients with a solitary kidney.","authors":"Claire van Vliet, Joyce Caro, Omar Bohoudi, Axel Bex, Daphne Damhoff, Fons J M van den Eertwegh, Niels M Graafland, Brunolf W Lagerveld, Jeroen R A van Moorselaar, Miguel A Palacios, Shyama U Tetar, Sonja Verheijen, Nienke W Weitkamp, Antoinet van der Wel, Patricia J Zondervan, Ben J Slotman, Anna M E Bruynzeel","doi":"10.1016/j.radonc.2026.111389","DOIUrl":"10.1016/j.radonc.2026.111389","url":null,"abstract":"<p><strong>Background and purpose: </strong>Patients with renal cell carcinoma (RCC) in a solitary kidney have limited treatment options. Stereotactic MRI-guided adaptive radiotherapy (SMART) offers a non-invasive alternative that preserves healthy kidney tissue. This study evaluated the clinical outcomes of SMART in patients with renal tumors in a solitary kidney. Oncological outcomes, renal function preservation, and treatment-related toxicity were assessed.</p><p><strong>Materials and methods: </strong>All consecutive patients with RCC in a solitary kidney treated with SMART between 2018 and 2024 in a single center were analyzed. Local control was defined as any response or stable disease using RECIST criteria. Kaplan-Meier analysis was used for survival outcomes and paired t-tests assessed renal function changes.</p><p><strong>Results: </strong>Thirty-two patients with a median age of 70 years were included. Most patients had WHO status 0-1 (93.8%) and had prior nephrectomy for RCC (78.1%). Median tumor size was 4.2 cm, and median pre-treatment eGFR was 45.8 ml/min. Seven patients were treated for multiple lesions, in simultaneous or separate sessions. Most patients were treated in a single (22.8%) or five (74.3%) fractions. After a median follow-up of 21.3 months, the local control rates at 1 and 2 years were 96.2% and 90.1%, respectively. Mean eGFR change was -6.6 ml/min, none required dialysis. No grade ≥ 3 toxicity was observed. The overall survival rate at 2 years was 80.9%.</p><p><strong>Conclusion: </strong>SMART provides high local control with minimal impact on renal function, offering a non-invasive, kidney-sparing treatment option that also enables repeated treatments within the solitary kidney.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"111389"},"PeriodicalIF":5.3,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146053334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To extend the previously reported geometric analysis of HaN-Seg: The Head and Neck Organ-at-Risk CT and MR Segmentation Challenge by integrating a dosimetric evaluation, thereby offering a comprehensive assessment of challenge results with practical insights into their clinical applicability.
Materials and methods
Participating teams of the HaN-Seg challenge were tasked to auto-segment 30 organs-at-risk (OARs) in the head and neck region using paired contrast-enhanced computed tomography and T1-weighted magnetic resonance images. The teams were ranked according to their geometric performance, measured by the Dice similarity coefficient (DSC) and 95th-percentile Hausdorff distance (HD95). Here, we extend this evaluation with a forward dosimetric analysis, also known as dosimetric impact approximation, including the verification of OAR dosimetric restriction compliance, assessment of OAR priority ratings, evaluation of segmentation performance relative to tumor proximity, and correlation analysis between geometric and dosimetric metrics.
Results
All six teams from the previous geometric analysis were assessed for dosimetric performance on the original 14 test cases. Dosimetric analysis revealed minor performance differences among teams, with the best- and worst-performing teams achieving dosimetric compliance in 70.7% and 67.7% of OAR auto-segmentations, respectively. Most teams successfully met priority 1 dosimetric restrictions including the spinal cord, brainstem, optic chiasm, and optic nerves in 11 out of 14 test cases. The lowest compliance rates were observed for the oral cavity and submandibular glands. Correlation analysis revealed no clear relationship between geometric and dosimetric metrics.
Conclusion
The high dosimetric compliance highlights the practical utility of deep learning OAR auto-segmentation methods. Lower compliance for the oral cavity and submandibular glands most probably stems from their proximity to tumors and the corresponding steep dose gradients, where certain dosimetric constraints are inherently challenging to meet in clinical practice, or from the limitations of the forward dosimetric analysis. These findings underpin the critical need for both geometric and dosimetric evaluations of OAR auto-segmentation tools to ensure robust validation. Such a comprehensive assessment will be essential as commercial deep learning tools become increasingly integrated into the radiotherapy planning workflow.
{"title":"Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge","authors":"Gašper Podobnik , Bulat Ibragimov , Primož Peterlin , Primož Strojan , Tomaž Vrtovec","doi":"10.1016/j.radonc.2026.111387","DOIUrl":"10.1016/j.radonc.2026.111387","url":null,"abstract":"<div><h3>Background and purpose</h3><div>To extend the previously reported geometric analysis of <em>HaN-Seg: The Head and Neck Organ-at-Risk CT and MR Segmentation Challenge</em> by integrating a dosimetric evaluation, thereby offering a comprehensive assessment of challenge results with practical insights into their clinical applicability.</div></div><div><h3>Materials and methods</h3><div>Participating teams of the HaN-Seg challenge were tasked to auto-segment 30 organs-at-risk (OARs) in the head and neck region using paired contrast-enhanced computed tomography and T1-weighted magnetic resonance images. The teams were ranked according to their geometric performance, measured by the Dice similarity coefficient (DSC) and 95th-percentile Hausdorff distance (HD<sub>95</sub>). Here, we extend this evaluation with a forward dosimetric analysis, also known as <em>dosimetric impact approximation</em>, including the verification of OAR dosimetric restriction compliance, assessment of OAR priority ratings, evaluation of segmentation performance relative to tumor proximity, and correlation analysis between geometric and dosimetric metrics.</div></div><div><h3>Results</h3><div>All six teams from the previous geometric analysis were assessed for dosimetric performance on the original 14 test cases. Dosimetric analysis revealed minor performance differences among teams, with the best- and worst-performing teams achieving dosimetric compliance in 70.7% and 67.7% of OAR auto-segmentations, respectively. Most teams successfully met priority 1 dosimetric restrictions including the spinal cord, brainstem, optic chiasm, and optic nerves in 11 out of 14 test cases. The lowest compliance rates were observed for the oral cavity and submandibular glands. Correlation analysis revealed no clear relationship between geometric and dosimetric metrics.</div></div><div><h3>Conclusion</h3><div>The high dosimetric compliance highlights the practical utility of deep learning OAR auto-segmentation methods. Lower compliance for the oral cavity and submandibular glands most probably stems from their proximity to tumors and the corresponding steep dose gradients, where certain dosimetric constraints are inherently challenging to meet in clinical practice, or from the limitations of the forward dosimetric analysis. These findings underpin the critical need for both geometric and dosimetric evaluations of OAR auto-segmentation tools to ensure robust validation. Such a comprehensive assessment will be essential as commercial deep learning tools become increasingly integrated into the radiotherapy planning workflow.</div></div>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":"217 ","pages":"Article 111387"},"PeriodicalIF":5.3,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146047123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}