Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …
understanding of cancer's biology and behavior in response to standard therapy. It also …
Rapid review: radiomics and breast cancer
F Valdora, N Houssami, F Rossi, M Calabrese… - Breast cancer research …, 2018 - Springer
Purpose To perform a rapid review of the recent literature on radiomics and breast cancer
(BC). Methods A rapid review, a streamlined approach to systematically identify and …
(BC). Methods A rapid review, a streamlined approach to systematically identify and …
The crucial role of multiomic approach in cancer research and clinically relevant outcomes
M Lu, X Zhan - EPMA Journal, 2018 - Springer
Cancer with heavily economic and social burden is the hot point in the field of medical
research. Some remarkable achievements have been made; however, the exact …
research. Some remarkable achievements have been made; however, the exact …
How radiomics can improve breast cancer diagnosis and treatment
F Pesapane, P De Marco, A Rapino… - Journal of Clinical …, 2023 - mdpi.com
Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …
A new challenge for radiologists: radiomics in breast cancer
P Crivelli, RE Ledda, N Parascandolo… - BioMed research …, 2018 - Wiley Online Library
Introduction. Over the last decade, the field of medical imaging experienced an exponential
growth, leading to the development of radiomics, with which innumerable quantitative …
growth, leading to the development of radiomics, with which innumerable quantitative …
Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre-and early treatment predicts pathologic complete response
Purpose This study used machine learning classification of texture features from MRI of
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular …
MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal …
VS Jayaprakasam, V Paroder, P Gibbs, R Bajwa… - European …, 2022 - Springer
Objective To interrogate the mesorectal fat using MRI radiomics feature analysis in order to
predict clinical outcomes in patients with locally advanced rectal cancer. Methods This …
predict clinical outcomes in patients with locally advanced rectal cancer. Methods This …
Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach
J Zheng, J Kong, S Wu, Y Li, J Cai, H Yu, W Xie, H Qin… - Cancer, 2019 - Wiley Online Library
Background Bladder cancer (BCa) can be divided into muscle‐invasive BCa (MIBC) and
non− muscle‐invasive BCa (NMIBC). Whether the tumor infiltrates the detrusor muscle is a …
non− muscle‐invasive BCa (NMIBC). Whether the tumor infiltrates the detrusor muscle is a …
Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation?
F Pesapane, MB Suter, A Rotili, S Penco, O Nigro… - Medical Oncology, 2020 - Springer
The diagnosis of breast cancer currently relies on radiological and clinical evaluation,
confirmed by histopathological examination. However, such approach has some limitations …
confirmed by histopathological examination. However, such approach has some limitations …
„Radio-oncomics “ Das Potenzial von Radiomics in der Strahlenonkologie
Introduction Radiomics, a recently introduced concept, describes quantitative computerized
algorithm-based feature extraction from imaging data including computer tomography (CT) …
algorithm-based feature extraction from imaging data including computer tomography (CT) …