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Reconsidering the role of PMRT in low to intermediate risk breast cancer: Applying results from previous standards of treatment in the current multimodal practice. 重新考虑PMRT在低至中危乳腺癌中的作用:在当前多模式实践中应用先前治疗标准的结果
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-02-01 DOI: 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.

最近发表的为期10年的SUPREMO试验结果为乳房切除术后胸壁放疗(PMRT)在低至中危乳腺癌患者中的作用提供了有价值的见解。然而,该试验的设计和在手术、放射治疗(RT)和全身治疗方面不断发展的标准需要仔细解释。主要发现。SUPREMO招募了1600名患者,主要患有pT1-2N1M0和pT3N0M0疾病,并报告在10 年没有显着的总生存期(OS)获益。主要的方案修改——包括减少样本量、延长应计时间和扩大合格标准——需要确保试验完成,但损害了统计能力和普遍性。该试验有限地使用了局部淋巴结照射(RNI),包括乳腺内淋巴结(IMN)覆盖范围,这进一步限制了其在现代证据背景下的适用性,这些证据表明全面的RNI可明显提高生存率。此外,病理质量保证的差异、手术实践的发展(从改良的乳房根治术到更保守的方法)以及全身治疗的进步从根本上改变了风险概况和治疗范例。结论:虽然SUPREMO有助于理解PMRT的历史作用,但其与当代多模式乳腺癌治疗的相关性有限。胸壁照射的限制、RNI的遗漏以及低端中危疾病的优势(包括许多淋巴结阴性或有限淋巴结受累的患者)削弱了其临床影响。未来的试验必须整合生物学驱动的风险分层、当代外科和系统标准以及精确的RT定义,需要实用的设计、健全的QA和加速的累积,以保持相关性,并避免在可能仍然受益于PMRT的选定患者中治疗不足。
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引用次数: 0
A phase I dose escalation of FLASH radiotherapy in patients with cutaneous metastases from melanoma: The IMPulse trial. 黑色素瘤皮肤转移患者的I期剂量递增FLASH放疗:脉冲试验。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-31 DOI: 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.

临床前研究观察到FLASH放疗(FLASH- rt)在保持其抗肿瘤作用的同时,可以保留正常组织,为其临床转化提供了依据。在此背景下,该临床试验首次提出了FLASH-RT的人体剂量递增试验。材料和方法:该I期临床试验纳入了进行性黑色素瘤伴皮肤转移的全身治疗难治性患者。采用3 + 3剂量递增设计来确定最大耐受剂量(MTD),从22 Gy开始,以2 Gy递增,直至28 Gy。剂量限制性毒性(DLT)定义为放疗后4 周内发生的任何 ≥ 3级不良事件。FLASH-RT使用9 MeV Mobetron (IntraOp, USA)以超过200 Gy/s的剂量率递送,以10次脉冲递送,递送时间超过90 ms。对于所有患者,使用丙氨酸,热释光剂量计(TLD)和胶片进行剂量测定。结果:在2021年6月至2024年9月期间,纳入了11例患者,其中10例患者治疗了15个病变。一名患者接受了两种不同剂量的治疗。该试验最初旨在将剂量增加至34 Gy,但由于累积缓慢,在完成剂量水平28 Gy后停止。在任何给药剂量水平(22-28 Gy)下均未观察到dlt,未达到MTD。结论:将FLASH-RT单次剂量递增至28 Gy不会在照射场诱导dlt,这表明人体组织对FLASH-RT的急性效应具有良好的耐受性。
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引用次数: 0
Cost-utility-analysis of molecular-integrated-profile for women with (high)intermediate risk endometrial cancer - PORTEC-4a an international, randomised, phase 3 trial. (高)中危子宫内膜癌妇女分子整合谱的成本-效用分析- PORTEC-4a,一项国际随机3期试验
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-30 DOI: 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.

目的:国际PORTEC-4a试验表明,在分子整合风险谱的指导下,对患有(高)中危子宫内膜癌(HIR-EC)的女性进行个体化辅助治疗,可以实现类似的高局部肿瘤控制,同时近一半的患者可以避免辅助治疗。虽然由于额外的免疫组织化学和dna测序,分子整合谱的确定增加了诊断成本,但这些成本可能被其他护理的节省和患者预后的改善所抵消。患者和方法:符合PORTEC-4a试验条件的早期HIR-EC女性,根据其分子整合谱随机(2:1)接受辅助治疗或标准阴道近距离放疗(VBT)。在三年的随访期间,从医疗保健角度评估ec相关费用。成本与使用EORTC-QLU-C10D仪器的质量调整寿命年(QALYs)相关。t检验比较平均质量年和成本,对缺失数据进行多重插值。结果:564例患者均纳入成本-效用分析;分子图谱组367例,标准组197例。qaly具有可比性(p = 0.58)。与标准组相比,分子图谱组的总医疗保健费用略低,但并不显著(11,898欧元对13,047欧元,p = 0.11)。对于HIR-EC患者,基于分子整合谱的个体化佐剂治疗比标准VBT更具成本效益,直至复发的成本在分子谱组中显著降低(9995欧元vs 11926欧元,p )。这些结果进一步支持了分子整合图谱在常规临床实践中的应用。
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引用次数: 0
Impact of primary radiotherapy on the psychosocial well-being of patients with locally advanced cervical cancer (IMPRaCC study). 初次放疗对局部晚期宫颈癌患者心理社会健康的影响(IMPRaCC研究)。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-30 DOI: 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.

目的:局部晚期宫颈癌(LACC)的治疗,尤其是近距离治疗,对患者的生理和心理都有很高的要求。IMPRaCC研究(初次放疗对LACC患者心理社会健康的影响)旨在调查危险因素、痛苦高峰时刻和未满足的需求。材料与方法:对LACC患者队列(2019-2024)的EORTC-C30问卷进行分析,并在治疗后4-16 周进行半结构化访谈。在基线、治疗期间和长达两年的随访期间定期收集问卷。线性混合模型从基线开始评估得分的变化。还将得分与健康参考人群进行了比较。在治疗和随访期间,Logistic回归确定了与情绪(EF)和社会功能(SF)以及疲劳恶化相关的因素。访谈采用专题分析进行评价。结果:在142例LACC患者中,基线EF和SF在治疗期间与参考人群相比受损,但在随访中有所改善。治疗期间EF、SF和疲劳的恶化(18.6%、48.8%、62.8%)比随访期间(10.4%、25%、34.4%)更为频繁。精神病史与治疗期间SF恶化有关,而恋爱和心理支持是保护因素。分四次和三次进行的近距离放疗似乎与更严重的EF、SF和疲劳有关。对13名患者的访谈显示了情绪困扰,特别是在近距离治疗之前,需要在多个医疗保健专业人员之间进行清晰和一致的沟通。结论:精神病史评估、心理支持和一致的沟通支持对LACC患者有针对性的护理。三段式近距离放射治疗方案可进一步减少社会心理困扰。
{"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}
引用次数: 0
Response to "A threshold without a map: Why isodose normalization must accompany D95/D2 TCP cutpoints". 对“没有映射的阈值:为什么等剂量规范化必须伴随着D95/D2 TCP切点”的回应。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-30 DOI: 10.1016/j.radonc.2026.111411
Felix Ehret, Jimm Grimm, Samuel M Vorbach, Oliver Blanck, Alexander Rühle
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引用次数: 0
ESTRO's principles for environmental sustainability in the radiation oncology community. ESTRO在放射肿瘤学领域的环境可持续性原则。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-30 DOI: 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.

气候变化、污染和资源枯竭对现代社会构成了重大挑战,包括医疗保健部门。虽然提供保健服务必然需要利用能源和资源,但保健部门在可持续发展方面可发挥相关作用,因为据估计,它约占欧盟温室气体排放总量的4.7%,同时也造成自然资源枯竭、有毒化学物质释放和不可堆肥废物的产生。作为回应,欧洲放射治疗与肿瘤学会(ESTRO)于2022年成立了绿色工作组,以支持制定战略框架,将环境可持续性纳入ESTRO的活动。本立场文件介绍了ESTRO的环境可持续性原则,重点关注四个关键领域:(1)提高认识并分享最佳实践;(2)监测ESTRO活动对环境的影响;(3)评估减少碳排放和提高ESTRO活动的环境可持续性的干预措施;(4)将可持续性纳入治理和专业活动。可减少ESTRO活动对气候影响的战略实例包括:倡导具有环保意识的放射治疗做法,考虑为参加ESTRO会议和教育活动的参与者缩短行程提供便利的地点,促进数字参与,促进可持续的旅行选择和促进健康的生活方式。通过强调可持续性,ESTRO旨在引领放射肿瘤学社区走向更加环保的未来,平衡科学进步与气候意识实践。这一倡议与全球可持续发展目标保持一致,并强调了肿瘤学专业人员在应对气候危机中的作用。
{"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}
引用次数: 0
A robustness-inclusive comparison of proton- versus photon-based whole-pelvic radiotherapy for prostate cancer within a randomised clinical trial. 在一项随机临床试验中,质子与光子全盆腔放疗治疗前列腺癌的稳健性比较。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-27 DOI: 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。
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引用次数: 0
MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study 基于mri的多水平放射组学和变压器特征预测鼻咽癌放疗后辐射诱导的颈动脉损伤:一项多中心研究。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-24 DOI: 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.
目的:开发并验证基于mri的融合模型(Rad-SRad-SwinT),整合常规放射组学(Rad)、分区域放射组学(SRad)和Transformer衍生的深度学习特征(Swin Transformer, SwinT),以预测鼻咽癌(NPC)放疗后辐射诱导的颈动脉损伤(RICAI)。材料和方法:在这项多中心回顾性研究中,来自四家医院的500名鼻咽癌患者被分配到培训(n = 274)、内部测试(n = 118)和外部测试队列(n = 108)。Rad特征从mri定义的感兴趣的颈动脉区域提取,SRad特征从k均值衍生的子区域提取,深度特征从swt主干提取。建立了单源模型和聚变模型。对判别(AUC)、分类(ACC/SEN/SPE)、校准(Brier评分和校准曲线)、再分类(NRI/IDI)和可解释性(SHAP)进行评估。结果:在培训组、内测组和外测组中,分别有48.5%、48.3%和54.6%的人观察到RICAI。在单源模型中,SwinT和SRad表现相当,Rad略差;均优于临床模型。融合的Rad-SRad-SwinT表现最佳,内测auc为0.814 (95% CI: 0.737-0.891),外测auc为0.871 (95% CI: 0.794-0.932),外测分类良好(ACC 0.815, SEN 0.763, SPE 0.878),校准良好(Brier评分0.148)。NRI/IDI分析表明,与单一来源模型相比,重分类有显著改善。SHAP分析表明,swt衍生的特征对模型决策贡献最大,其次是SRad和Rad,支持深度语义表示和次区域异质性量化的互补收益。结论:将多水平放射组学与transformer衍生的深度学习特征相结合,可以增强鼻咽癌放疗后RICAI的预测,有望成为一种无创风险分层工具。
{"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 ,&nbsp;Jiangyi Ding ,&nbsp;Longzhen Zhang ,&nbsp;Jun Li ,&nbsp;Mingjun Ding ,&nbsp;Liang Li ,&nbsp;Xiaoxiao Hou ,&nbsp;Wei Chen ,&nbsp;Kangkang Sun ,&nbsp;Nannan Cao ,&nbsp;Ziyi Wang ,&nbsp;Kai Xie ,&nbsp;Xia He ,&nbsp;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}
引用次数: 0
Clinical outcomes of stereotactic MRI-guided adaptive radiotherapy for renal tumors in patients with a solitary kidney. 立体定向mri引导下的适应性放疗治疗孤立肾患者肾肿瘤的临床效果。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-24 DOI: 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.

背景和目的:单侧肾脏肾细胞癌(RCC)患者的治疗选择有限。立体定向mri引导的自适应放疗(SMART)提供了一种非侵入性的选择,可以保留健康的肾组织。本研究评估了SMART在单侧肾肿瘤患者中的临床效果。评估肿瘤预后、肾功能保存和治疗相关毒性。材料和方法:对2018年至2024年在单一中心连续接受SMART治疗的单侧肾细胞癌患者进行分析。根据RECIST标准,局部控制定义为任何反应或稳定的疾病。Kaplan-Meier分析用于生存结果,配对t检验评估肾功能变化。结果:纳入32例患者,中位年龄为70 岁。大多数患者WHO状态为0-1(93.8%),既往有肾细胞癌切除术(78.1%)。中位肿瘤大小为4.2 cm,治疗前中位eGFR为45.8 ml/min。7名患者同时或分开治疗多发性病变。大多数患者接受单次(22.8%)或五次(74.3%)治疗。中位随访21.3 个月后,1年和2 年的局部控制率分别为96.2%和90.1%。平均eGFR变化为-6.6 ml/min,无需透析。未观察到 ≥ 3级毒性。2 年总生存率为80.9%。结论:SMART提供了高度的局部控制,对肾功能的影响最小,提供了一种无创的、保留肾脏的治疗选择,也可以在孤立肾脏内重复治疗。
{"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}
引用次数: 0
Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge 基于深度学习的危险器官分割的剂量学评估:来自HaN-Seg挑战的见解。
IF 5.3 1区 医学 Q1 ONCOLOGY Pub Date : 2026-01-23 DOI: 10.1016/j.radonc.2026.111387
Gašper Podobnik , Bulat Ibragimov , Primož Peterlin , Primož Strojan , Tomaž Vrtovec

Background and purpose

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.
背景和目的:通过整合剂量学评估,扩展先前报道的HaN-Seg:头颈部高危器官CT和MR分割挑战的几何分析,从而对挑战结果进行全面评估,并对其临床适用性进行实际见解。材料和方法:HaN-Seg挑战的参赛团队的任务是使用配对对比增强计算机断层扫描和t1加权磁共振图像对头颈部区域的30个高危器官(OARs)进行自动分割。这些队伍根据他们的几何表现进行排名,通过骰子相似系数(DSC)和第95百分位豪斯多夫距离(HD95)来衡量。在这里,我们通过前向剂量分析扩展了这一评估,也称为剂量影响近似,包括OAR剂量限制依从性的验证,OAR优先级评级的评估,相对于肿瘤邻近的分割性能的评估,以及几何和剂量计量之间的相关性分析。结果:来自先前几何分析的所有六个小组都对原始14个测试用例的剂量学性能进行了评估。剂量学分析显示,团队之间的表现差异较小,表现最好和最差的团队分别在70.7%和67.7%的OAR自动分割中达到剂量学合规。大多数团队在14个测试案例中的11个中成功地满足了包括脊髓、脑干、视交叉和视神经在内的优先级1剂量限制。口腔和颌下腺的依从率最低。相关分析显示几何计量和剂量计量之间没有明确的关系。结论:高剂量依从性突出了深度学习OAR自动分割方法的实用性。口腔和颌下腺的低依从性很可能是由于它们靠近肿瘤和相应的陡剂量梯度,在临床实践中,某些剂量学限制固有地具有挑战性,或者是由于前向剂量学分析的局限性。这些发现支持了对OAR自动分割工具进行几何和剂量学评估的迫切需要,以确保可靠的验证。随着商业深度学习工具越来越多地融入放射治疗计划工作流程,这种全面的评估将是必不可少的。
{"title":"Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge","authors":"Gašper Podobnik ,&nbsp;Bulat Ibragimov ,&nbsp;Primož Peterlin ,&nbsp;Primož Strojan ,&nbsp;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}
引用次数: 0
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Radiotherapy and Oncology
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