Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach

被引:0
作者
Luca Boldrini
Davide Cusumano
Giuditta Chiloiro
Calogero Casà
Carlotta Masciocchi
Jacopo Lenkowicz
Francesco Cellini
Nicola Dinapoli
Luigi Azario
Stefania Teodoli
Maria Antonietta Gambacorta
Marco De Spirito
Vincenzo Valentini
机构
[1] Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore,Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Istituto di Radiologia
[2] Fondazione Policlinico Universitario A. Gemelli IRCCS,Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia
[3] Fondazione Policlinico A. Gemelli IRCCS - Università Cattolica Sacro Cuore,Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Istituto di Fisica
来源
La radiologia medica | 2019年 / 124卷
关键词
Rectal cancer; Radiomics; Delta radiomics; Personalized medicine; Innovative biotechnology; MRIdian; ViewRay;
D O I
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学科分类号
摘要
The aim of this study was to evaluate the variation of radiomics features, defined as “delta radiomics”, in patients undergoing neoadjuvant radiochemotherapy (RCT) for rectal cancer treated with hybrid magnetic resonance (MR)-guided radiotherapy (MRgRT). The delta radiomics features were then correlated with clinical complete response (cCR) outcome, to investigate their predictive power. A total of 16 patients were enrolled, and 5 patients (31%) showed cCR at restaging examinations. T2*/T1 MR images acquired with a hybrid 0.35 T MRgRT unit were considered for this analysis. An imaging acquisition protocol of 6 MR scans per patient was performed: the first MR was acquired at first simulation (t0) and the remaining ones at fractions 5, 10, 15, 20 and 25. Radiomics features were extracted from the gross tumour volume (GTV), and each feature was correlated with the corresponding delivered dose. The variations of each feature during treatment were quantified, and the ratio between the values calculated at different dose levels and the one extracted at t0 was calculated too. The Wilcoxon–Mann–Whitney test was performed to identify the features whose variation can be predictive of cCR, assessed with a MR acquired 6 weeks after RCT and digital examination. The most predictive feature ratios in cCR prediction were the L_least and glnu ones, calculated at the second week of treatment (22 Gy) with a p value = 0.001. Delta radiomics approach showed promising results and the quantitative analysis of images throughout MRgRT treatment can successfully predict cCR offering an innovative personalized medicine approach to rectal cancer treatment.
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页码:145 / 153
页数:8
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