MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre …
A Defeudis, S Mazzetti, J Panic, M Micilotta… - European Radiology …, 2022 - Springer
Background Pathological complete response after neoadjuvant chemoradiotherapy in
locally advanced rectal cancer (LARC) is achieved in 15–30% of cases. Our aim was to …
locally advanced rectal cancer (LARC) is achieved in 15–30% of cases. Our aim was to …
Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer
Abstract Background and Objective Adjuvant chemotherapy is recommended as standard
treatment for colorectal cancer (CRC) with stage III according to TNM stage. However …
treatment for colorectal cancer (CRC) with stage III according to TNM stage. However …
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging …
JJM van Griethuysen, DMJ Lambregts, S Trebeschi… - Abdominal …, 2020 - Springer
Purpose To compare the performance of advanced radiomics analysis to morphological
assessment by expert radiologists to predict a good or complete response to …
assessment by expert radiologists to predict a good or complete response to …
Multiparametric MRI and whole slide image-based pretreatment prediction of pathological response to neoadjuvant chemoradiotherapy in rectal cancer: a multicenter …
Background The aim of this work is to combine radiological and pathological information of
tumor to develop a signature for pretreatment prediction of discrepancies of pathological …
tumor to develop a signature for pretreatment prediction of discrepancies of pathological …
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …
Medical Radiology: Current Progress
A Pepe, F Crimì, F Vernuccio, G Cabrelle, A Lupi… - Diagnostics, 2023 - mdpi.com
Recently, medical radiology has undergone significant improvements in patient
management due to advancements in image acquisition by the last generation of machines …
management due to advancements in image acquisition by the last generation of machines …
[HTML][HTML] Radiomics and digital image texture analysis in oncology
AA Litvin, DA Burkin, AA Kropinov… - … технологии в медицине, 2021 - cyberleninka.ru
One of the most promising areas of diagnosis and prognosis of diseases is radiomics, a
science combining radiology, mathematical modeling, and deep machine learning. The …
science combining radiology, mathematical modeling, and deep machine learning. The …
Total neoadjuvant therapy versus standard neoadjuvant treatment strategies for the management of locally advanced rectal cancer: network meta-analysis of …
M Donnelly, OK Ryan, ÉJ Ryan, B Creavin… - British Journal of …, 2023 - academic.oup.com
Background This study compared the advantages and disadvantages of total neoadjuvant
therapy (TNT) strategies for patients with locally advanced rectal cancer, compared with the …
therapy (TNT) strategies for patients with locally advanced rectal cancer, compared with the …
[HTML][HTML] Radiomic nomogram: pretreatment evaluation of local recurrence in nasopharyngeal carcinoma based on MR imaging
Background: To develop and validate a radiomic nomogram incorporating radiomic features
with clinical variables for individual local recurrence risk assessment in nasopharyngeal …
with clinical variables for individual local recurrence risk assessment in nasopharyngeal …
Combining dynamic contrast-enhanced magnetic resonance imaging and apparent diffusion coefficient maps for a radiomics nomogram to predict pathological …
X Chen, X Chen, J Yang, Y Li, W Fan… - Journal of computer …, 2020 - journals.lww.com
Objective The objective of this study was to develop a nomogrom for prediction of
pathological complete response (PCR) to neoadjuvant chemotherapy in breast cancer …
pathological complete response (PCR) to neoadjuvant chemotherapy in breast cancer …