Histogram analysis of amide proton transfer imaging for predicting response to neoadjuvant chemoradiotherapy in rectal adenocarcinoma

Motivation: Predicting response to neoadjuvant chemoradiotherapy (nCRT) is crucial for early stratified management of locally advanced rectal cancer (LARC) patients; however, current radiological studies remain inconclusive. Goal(s): To investigate the potential of histogram analysis applied to pre-treatment amide proton transfer-weighted (APTw) imaging in predicting complete pathological regression (pCR) in patients with LARC undergoing nCRT. Approach: Based on histologic assessment, the patients were divided into a pCR or a non-pCR group. APTw histogram features, apparent diffusion coefficient (ADC), and clinical parameters were analyzed. Results: Histogram analysis of pre-treatment APTw may hold promise as a novel approach for predicting the response of LARC patients to nCRT. Impact: Through the establishment of models and model comparison, the APTw-histogram model and the APTw-clinical combined model demonstrated strong diagnostic efficacy and clinical practicality in predicting LARC patients' responsiveness to nCRT, offering new insights for early clinical decision-making.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2688
Primary Topic
Lanthanide and Transition Metal Complexes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histogram analysis of amide proton transfer imaging for predicting response to neoadjuvant chemoradiotherapy in rectal adenocarcinoma

Laura H. Tang, Kan Deng, Jun Peng, Xian Liu et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Lanthanide and Transition Metal Complexes
article

Histogram analysis of amide proton transfer imaging for predicting response to neoadjuvant chemoradiotherapy in rectal adenocarcinoma

Laura H. Tang, Kan Deng, Jun Peng, Xian Liu, Wenjing Yuan, Ziqi Jia, Weicui Chen
article en

Abstract

Motivation: Predicting response to neoadjuvant chemoradiotherapy (nCRT) is crucial for early stratified management of locally advanced rectal cancer (LARC) patients; however, current radiological studies remain inconclusive. Goal(s): To investigate the potential of histogram analysis applied to pre-treatment amide proton transfer-weighted (APTw) imaging in predicting complete pathological regression (pCR) in patients with LARC undergoing nCRT. Approach: Based on histologic assessment, the patients were divided into a pCR or a non-pCR group. APTw histogram features, apparent diffusion coefficient (ADC), and clinical parameters were analyzed. Results: Histogram analysis of pre-treatment APTw may hold promise as a novel approach for predicting the response of LARC patients to nCRT. Impact: Through the establishment of models and model comparison, the APTw-histogram model and the APTw-clinical combined model demonstrated strong diagnostic efficacy and clinical practicality in predicting LARC patients' responsiveness to nCRT, offering new insights for early clinical decision-making.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 81%
Lanthanide and Transition Metal Complexes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.