Performance of low- and high-temporal-resolution DCE-MRI texture analysis in distinguishing breast lesions from background enhancement

Texture analysis based on high-temporal resolution DCE-MRI may potentially improve breast cancer diagnostic performance. Specifically, combining the lesion, BE area, and K<sup>trans</sup>-mean parameters contributes to the diagnosis of breast lesions, background enhancement, and the pathological grading of malignant tumors.

Authors

Institutions

Publication Details

Journal
American Journal of Translational Research
Published
2025-01-01
DOI
https://doi.org/10.62347/kkuz9662
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance of low- and high-temporal-resolution DCE-MRI texture analysis in distinguishing breast lesions from background enhancement

Yufeng Liu
American Journal of Translational Research
MRI in cancer diagnosis
article

Performance of low- and high-temporal-resolution DCE-MRI texture analysis in distinguishing breast lesions from background enhancement

Yufeng Liu
article en

Abstract

Texture analysis based on high-temporal resolution DCE-MRI may potentially improve breast cancer diagnostic performance. Specifically, combining the lesion, BE area, and K<sup>trans</sup>-mean parameters contributes to the diagnosis of breast lesions, background enhancement, and the pathological grading of malignant tumors.

American Journal of Translational ResearchVol. 17(8)
Zhejiang Chinese Medical University (CN)
Openalex Percentile: Top 66%
MRI in cancer diagnosis
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.

Performance of low- and high-temporal-resolution DCE-MRI texture analysis in distinguishing breast lesions from background enhancement — Yufeng Liu · American Journal of Translational Research (2025) | TGRS Research Map | TGRS