Application of cellular microstructural diffusion MRI (cell size imaging) in rectal lesions: a preliminary study

Cellular microstructural mapping by the IMPULSED method has great potential in preoperative evaluation of rectal lesions. It could be helpful in differentiating malignant and benign lesions, distinguishing AC from MC, and in predicting the TB status.

Authors

Institutions

Publication Details

Journal
Frontiers in Oncology
Published
2025-02-03
DOI
https://doi.org/10.3389/fonc.2025.1535271
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of cellular microstructural diffusion MRI (cell size imaging) in rectal lesions: a preliminary study

Liangjie Lin, Peisi Kou, Hui Qin, Kun Zhang et al.
1 citations
Frontiers in Oncology
MRI in cancer diagnosis
1.36
article

Application of cellular microstructural diffusion MRI (cell size imaging) in rectal lesions: a preliminary study

Liangjie Lin, Peisi Kou, Hui Qin, Kun Zhang, Ying Li, Yong Zhang, Wenhua Zhang, Jingliang Cheng, Juan Li
article en
1 citations

Abstract

Cellular microstructural mapping by the IMPULSED method has great potential in preoperative evaluation of rectal lesions. It could be helpful in differentiating malignant and benign lesions, distinguishing AC from MC, and in predicting the TB status.

Frontiers in OncologyVol. 15
Philips (China) (CN), First Affiliated Hospital of Zhengzhou University (CN)
Openalex Percentile: Top 24%
MRI in cancer diagnosis
1.36
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.