培训和暂时验证全乳房放疗后急性毒性的NTCP模型,包括先进的交付技术的影响。

IF 4.9 1区 医学 Q1 ONCOLOGY Radiotherapy and Oncology Pub Date : 2024-12-25 DOI:10.1016/j.radonc.2024.110700
Monica Maria Vincenzi, Alessandro Cicchetti, Roberta Castriconi, Paola Mangili, Maria Giulia Ubeira-Gabellini, Anna Chiara, Chiara Deantoni, Martina Mori, Marcella Pasetti, Gabriele Palazzo, Roberta Tummineri, Tiziana Rancati, Nadia Gisella Di Muzio, Antonella Del Vecchio, Andrei Fodor, Claudio Fiorino
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引用次数: 0

摘要

目的:目的是训练和验证多变量正常组织并发症概率(NTCP)模型,预测乳腺癌辅助放疗(RT)患者的急性皮肤反应。方法和材料:我们回顾性分析了1570例接受全乳照射(40 Gy/15fr)治疗的单院乳腺癌患者。将患者分为训练组(n = 878,2009年至2017年接受3d-CRT治疗)和验证组(n = 692,2017年至2021年接受治疗,包括先进的RT技术)。在验证队列中,根据给药技术将患者分为静态(n = 404)和弧线(n = 288)。一些临床/技术信息和“皮肤”的dvh(距离身体轮廓5 mm的内部扩张)是可用的。在随访期间使用RTOG量表标准评估皮肤毒性。结合皮肤DVH和临床参数,采用交叉验证方法建立多变量logistic回归模型,保证了内部一致性和鲁棒性。在验证队列中对模型的性能进行了测试。结果:在训练组和验证组中,分别有14.0 %/17.4 %的患者出现 ≥ G2毒性。生成的多变量逻辑模型包括腋窝淋巴结清扫后(或 = 1.58,95 % CI = 1.01 - -2.48,p = 0.045)、高血压(或 = 1.54,95 % CI = 1.04 - -2.27,p = 0.030)和皮肤V20Gy(或 = 1.008,95 % CI = 1.004 - -1.013,p 2 = 0.6)的拟合优度(Hosmer-Lemeshow假定值 = 0.99)。单独观察三个预测因子,只有V20Gy的作用在验证组中得到确认。当考虑采用静态或电弧技术治疗的患者时,结果相似。结论:建立了中度低分割乳腺放射治疗后急性毒性NTCP模型。该模型甚至对采用先进分娩技术治疗的患者也进行了时间验证。尽管存在临床差异和技术差异,但验证队列中剂量学参数的确认强调了其稳健性,并证实了皮肤DVH可能评估风险的假设,并具有改进计划优化的潜力。
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Training and temporally validating an NTCP model of acute toxicity after whole breast radiotherapy, including the impact of advanced delivery techniques.

Purpose: The aim is to train and validate a multivariable Normal Tissue Complication Probability (NTCP) model predicting acute skin reactions in patients with breast cancer receiving adjuvant Radiotherapy (RT).

Methods and materials: We retrospectively reviewed 1570 single-institute patients with breast cancer treated with whole breast irradiation (40 Gy/15fr). The patients were divided into training (n = 878, treated with 3d-CRT, from 2009 to 2017) and validation cohorts (n = 692, treated from 2017 to 2021, including advanced RT techniques). In the validation cohort, patients were classified according to the delivery techniques into static (n = 404) and arc techniques (n = 288). Several clinical/technical information and DVHs of the "skin" (5 mm inner expansion from the body contour) were available. Skin toxicity was assessed during follow-up using the RTOG scale criteria. A multivariable logistic regression model was generated combining skin DVH and clinical parameters, using cross-validation methods that ensured high internal consistency and robustness. The performance of the model was tested in the validation cohort.

Results: 14.0 %/17.4 % of patients developed ≥ G2 toxicity, in the training/validation cohorts, respectively. The resulting multivariable logistic model included axillary lymph node dissection (OR = 1.58, 95 %CI = 1.01-2.48, p = 0.045), hypertension (OR = 1.54, 95 %CI = 1.04-2.27, p = 0.030) and skin V20Gy (OR = 1.008, 95 %CI = 1.004-1.013, p < 0.0001). The AUC of the model was 0.64/0.59 in training/validation, with better performance in the validation cohort if considering only V20Gy (0.62). The model showed satisfactory agreement between predicted and observed toxicity rates: in the validation group, the slope of the calibration plot was 0.96 (R2 = 0.6) with excellent goodness-of-fit (Hosmer-Lemeshow p-value = 0.99). Looking at each of the three predictors individually, only the role of V20Gy was confirmed in the validation group. Results were similar when considering patients treated with static or arc techniques.

Conclusion: An NTCP model for acute toxicity after moderately hypofractionated breast RT was trained. The model underwent temporal validation even for patients treated with advanced delivery techniques. Despite clinical differences and techniques, the confirmation of the dosimetry parameter in the validation cohort highlights its robustness and corroborates the hypothesis that skin DVH may assess the risk with the potential for improving plan optimisation.

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来源期刊
Radiotherapy and Oncology
Radiotherapy and Oncology 医学-核医学
CiteScore
10.30
自引率
10.50%
发文量
2445
审稿时长
45 days
期刊介绍: Radiotherapy and Oncology publishes papers describing original research as well as review articles. It covers areas of interest relating to radiation oncology. This includes: clinical radiotherapy, combined modality treatment, translational studies, epidemiological outcomes, imaging, dosimetry, and radiation therapy planning, experimental work in radiobiology, chemobiology, hyperthermia and tumour biology, as well as data science in radiation oncology and physics aspects relevant to oncology.Papers on more general aspects of interest to the radiation oncologist including chemotherapy, surgery and immunology are also published.
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