Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …
observing patients' anatomy. However, the interpretation of medical images can be highly …
Radiomics/radiogenomics in lung cancer: basic principles and initial clinical results
AK Anagnostopoulos, A Gaitanis, I Gkiozos… - Cancers, 2022 - mdpi.com
Simple Summary Radiogenomics is a promising new approach in cancer assessment,
providing an evaluation of the molecular basis of imaging phenotypes after establishing …
providing an evaluation of the molecular basis of imaging phenotypes after establishing …
Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects
Although artificial intelligence (AI) methods hold promise for medical imaging-based
prediction tasks, their integration into medical practice may present a double-edged sword …
prediction tasks, their integration into medical practice may present a double-edged sword …
Accuracy of Radiomics in Predicting IDH Mutation Status in Diffuse Gliomas: A Bivariate Meta-Analysis
G Di Salle, L Tumminello, ME Laino… - Radiology: Artificial …, 2023 - pubs.rsna.org
Purpose To perform a systematic review and meta-analysis assessing the predictive
accuracy of radiomics in the noninvasive determination of isocitrate dehydrogenase (IDH) …
accuracy of radiomics in the noninvasive determination of isocitrate dehydrogenase (IDH) …
Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas
GS Ioannidis, LE Pigott, M Iv, K Surlan-Popovic… - Frontiers in …, 2023 - frontiersin.org
Objective This study aims to assess the value of biomarker based radiomics to predict IDH
mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of …
mutation in gliomas. The patient cohort consists of 160 patients histopathologicaly proven of …
Predicting IDH mutation status in low-grade gliomas based on optimal radiomic features combined with multi-sequence magnetic resonance imaging
A He, P Wang, A Zhu, Y Liu, J Chen, L Liu - Diagnostics, 2022 - mdpi.com
The IDH somatic mutation status is an important basis for the diagnosis and classification of
gliomas. We proposed a “6-Step” general radiomics model to noninvasively predict the IDH …
gliomas. We proposed a “6-Step” general radiomics model to noninvasively predict the IDH …
Development of End-to-End AI–Based MRI Image Analysis System for Predicting IDH Mutation Status of Patients with Gliomas: Multicentric Validation
J Santinha, V Katsaros, G Stranjalis, E Liouta… - Journal of Imaging …, 2024 - Springer
Radiogenomics has shown potential to predict genomic phenotypes from medical images.
The development of models using standard-of-care pre-operative MRI images, as opposed …
The development of models using standard-of-care pre-operative MRI images, as opposed …
Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients
J Santinha, C Matos, N Papanikolaou… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Radiogenomics offers a potential virtual and non-invasive biopsy, being very promising in
cases where genomic testing is not available or possible. However, radiogenomics mod-els …
cases where genomic testing is not available or possible. However, radiogenomics mod-els …