External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy

Cusumano, D.; Boldrini, Luca; Yadav, Poonam; Gao, Yu; Musurunu, Bindu; Chiloiro, G.; Piras, Antonio; Lenkowicz, Jacopo; Placidi, L.; Broggi, S.; Romano, Angela; Mori, Martina; Barbaro, Brunella; Azario, L.; Gambacorta, Maria Antonietta; Spirito, M.; Bassetti, M.; Yang, Yingli; Fiorino, Claudio; Valentini, Vincenzo

doi:10.1016/j.ijrobp.2020.07.2323

Cited by 38 publications

(33 citation statements)

References 53 publications

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“…MR-only planning has been achieved in some settings ( 102 ) and may find ready application in liver patients in the setting of MRgRT. Future considerations also include personalized adaptation or dose prescribing based on MRI-specific imaging indications of tumor response, such as changes in diffusion restriction ( 103 ) or MRI tumor volumes during the course of treatment ( 104 ). However, standardization of imaging and methods for signal detection, as well as application to patient care, is needed for mainstream use ( 105 ).…”

Section: Discussionmentioning

confidence: 99%

MR-Guided Radiotherapy for Liver Malignancies

et al. 2021

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MR guided radiotherapy represents one of the most promising recent technological innovations in the field. The possibility to better visualize therapy volumes, coupled with the innovative online adaptive radiotherapy and motion management approaches, paves the way to more efficient treatment delivery and may be translated in better clinical outcomes both in terms of response and reduced toxicity. The aim of this review is to present the existing evidence about MRgRT applications for liver malignancies, discussing the potential clinical advantages and the current pitfalls of this new technology.

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Section: Discussionmentioning

confidence: 99%

MR-Guided Radiotherapy for Liver Malignancies

et al. 2021

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“…First of all, in our experience, a larger number of patients was analysed (35), and the identification of a single feature was preferred to the elaboration of a machine learning model, with the aim of obtaining a single image-based biomarker that could have a clinical and biophysical interpretation, reducing the risk of model overfitting. Secondly, the BED approach was adopted to compensate for different radiotherapy schemes, thus extending the generalisability of the proposed approach to different dose prescriptions [48,49].…”

Section: Discussionmentioning

confidence: 99%

Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy

et al. 2021

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The aim of this study is to investigate the role of Delta Radiomics analysis in the prediction of one-year local control (1yLC) in patients affected by locally advanced pancreatic cancer (LAPC) and treated using Magnetic Resonance guided Radiotherapy (MRgRT). A total of 35 patients from two institutions were enrolled: A 0.35 Tesla T2*/T1 MR image was acquired for each case during simulation and on each treatment fraction. Physical dose was converted in biologically effective dose (BED) to compensate for different radiotherapy schemes. Delta Radiomics analysis was performed considering the gross tumour volume (GTV) delineated on MR images acquired at BED of 20, 40, and 60 Gy. The performance of the delta features in predicting 1yLC was investigated in terms of Wilcoxon Mann–Whitney test and area under receiver operating characteristic (ROC) curve (AUC). The most significant feature in predicting 1yLC was the variation of cluster shade calculated at BED = 40 Gy, with a p-value of 0.005 and an AUC of 0.78 (0.61–0.94). Delta Radiomics analysis on low-field MR images might play a promising role in 1yLC prediction for LAPC patients: further studies including an external validation dataset and a larger cohort of patients are recommended to confirm the validity of this preliminary experience.

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“…MR images were acquired on the sagittal plane passing through the geometrical center of the GTV using a true fast imaging (TRUFI) sequence, with 5 mm slice thickness, 35x35 cm 2 field of view, T2*/T1 image contrast and spatial resolution of 3.5x3.5 mm 2 [22] , [23] .…”

Section: Methodsmentioning

confidence: 99%

Delivery of online adaptive magnetic resonance guided radiotherapy based on isodose boundaries

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Boldrini

et al. 2021

Physics and Imaging in Radiation Oncology

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Magnetic Resonance-guided Radiotherapy (MRgRT) allows direct monitoring of treated volumes. The aim of this study was to investigate the feasibility of a new gating strategy consisting in using an isodose as boundary. Fortyfour patients treated for thoracic and abdominal lesions using MRgRT were enrolled. The accuracy of the new strategy was compared to the conventional one in terms of area improvement available for gating without compromising target coverage. A mean increase of 24% for lung, 15% for liver and 11% for pancreas was observed, demonstrating how the new method can be useful in challenging situations with low dose conformality.

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External Validation of Early Regression Index (ERITCP) as Predictor of Pathologic Complete Response in Rectal Cancer Using Magnetic Resonance-Guided Radiation Therapy

Cited by 38 publications

References 53 publications

MR-Guided Radiotherapy for Liver Malignancies

MR-Guided Radiotherapy for Liver Malignancies

Delta Radiomics Analysis for Local Control Prediction in Pancreatic Cancer Patients Treated Using Magnetic Resonance Guided Radiotherapy

Delivery of online adaptive magnetic resonance guided radiotherapy based on isodose boundaries

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