Publications by authors named "C Nioche"
Purpose: This review systematically investigates the role of radiomics in radiotherapy, with a particular emphasis on the use of quantitative imaging biomarkers for predicting clinical outcomes, assessing toxicity, and optimizing treatment planning. While the review encompasses various applications of radiomics in radiotherapy, it particularly highlights its potential for guiding reirradiation of recurrent cancers.
Methods: A systematic review was conducted based on a Medline search with the search engine PubMed using the keywords "radiomics or radiomic" and "radiotherapy or reirradiation".
Total metabolic tumor volume (TMTV) is prognostic in lymphoma. However, cutoff values for risk stratification vary markedly, according to the tumor delineation method used. We aimed to create a standardized TMTV benchmark dataset allowing TMTV to be tested and applied as a reproducible biomarker.
View Article and Find Full Text PDFThe normalized distances from the hot spot of radiotracer uptake (SUV) to the tumor centroid (NHOC) and to the tumor perimeter (NHOP) have recently been suggested as novel PET features reflecting tumor aggressiveness. These biomarkers characterizing the shift of SUV toward the lesion edge during tumor progression have been shown to be prognostic factors in breast and non-small cell lung cancer (NSCLC) patients. We assessed the impact of imaging parameters on NHOC and NHOP, their complementarity to conventional PET features, and their prognostic value for advanced-NSCLC patients.
View Article and Find Full Text PDFFilters are commonly used to enhance specific structures and patterns in images, such as vessels or peritumoral regions, to enable clinical insights beyond the visible image using radiomics. However, their lack of standardization restricts reproducibility and clinical translation of radiomics decision support tools. In this special report, teams of researchers who developed radiomics software participated in a three-phase study (September 2020 to December 2022) to establish a standardized set of filters.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates the variability in delineation of target volumes and organs at risk in radiation therapy, highlighting the uncertainty and lack of standardized methods in interobserver variability (IOV) studies.
- A systematic review of 66 published IOV studies from 2018-2021 reveals issues like the independent study of organs at risk, absence of defined gold standards, and inconsistent results in key metrics like the Dice similarity coefficient.
- To improve future IOV studies, the authors recommend standardizing methodologies and clearly defining measurements and reference standards to ensure better reproducibility and reliability of results.