PURPOSEWhether radiomics methods are useful in prediction of therapeutic response to neoadjuvant chemoradiotherapy (nCRT) is unclear. This study aimed to investigate multiple magnetic resonance imaging (MRI) sequence-based radiomics methods in evaluating therapeutic response to nCRT in patients with locally advanced rectal cancer (LARC).METHODSThis retrospective study enrolled patients with LARC (06/2014-08/2017) and divided them into nCRT-sensitive and nCRT-resistant groups according to postoperative tumor regression grading results. Radiomics features from preoperative MRI were extracted, followed by dimension reduction using the minimum redundancy maximum relevance filter. Three machine-learning classifiers and an ensemble classifier wer...
Purpose or Learning Objective To investigate whether in locally advanced rectal cancer (LARC) treat...
Background: In well-responding patients to chemoradiotherapy for locally advanced rectal cancer (LAR...
Personalized treatment strategies for oncological patient management can improve outcomes of patient...
PurposeThis study aimed to investigate radiomic features extracted from magnetic resonance imaging (...
Introduction Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is the standard tre...
Background: Pathological complete response after neoadjuvant chemoradiotherapy in locally advanced r...
Background Preoperative assessment of pathologic complete response (pCR) in locally advanced rectal ...
Patients with locally advanced rectal cancer (LARC) who achieve a pathologic complete response (pCR)...
Assessment of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is es...
Background We aimed to develop a radiomic model based on pre-treatment computed tomo...
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the stan...
PurposeTo predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally adv...
Radiomics analyses commonly apply imaging features of different complexity for the prediction of the...
Objectives We evaluate the feasibility of treatment response prediction using MRI-based pre-, post-,...
Purpose To compare the performance of advanced radiomics analysis to morphological assessment by exp...
Purpose or Learning Objective To investigate whether in locally advanced rectal cancer (LARC) treat...
Background: In well-responding patients to chemoradiotherapy for locally advanced rectal cancer (LAR...
Personalized treatment strategies for oncological patient management can improve outcomes of patient...
PurposeThis study aimed to investigate radiomic features extracted from magnetic resonance imaging (...
Introduction Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is the standard tre...
Background: Pathological complete response after neoadjuvant chemoradiotherapy in locally advanced r...
Background Preoperative assessment of pathologic complete response (pCR) in locally advanced rectal ...
Patients with locally advanced rectal cancer (LARC) who achieve a pathologic complete response (pCR)...
Assessment of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is es...
Background We aimed to develop a radiomic model based on pre-treatment computed tomo...
Neoadjuvant chemo-radiotherapy (CRT) followed by total mesorectal excision (TME) represents the stan...
PurposeTo predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally adv...
Radiomics analyses commonly apply imaging features of different complexity for the prediction of the...
Objectives We evaluate the feasibility of treatment response prediction using MRI-based pre-, post-,...
Purpose To compare the performance of advanced radiomics analysis to morphological assessment by exp...
Purpose or Learning Objective To investigate whether in locally advanced rectal cancer (LARC) treat...
Background: In well-responding patients to chemoradiotherapy for locally advanced rectal cancer (LAR...
Personalized treatment strategies for oncological patient management can improve outcomes of patient...