Cyclic Characteristics of Perfusion and Diffusion in Normal Uterus: A Mono-Exponential and Bi-Exponential DWI Evaluation

IVIM MRI enables noninvasive quantification of uterine perfusion and diffusion dynamics and reveals characteristic variations in the uterine corpus and cervix throughout the menstrual cycle.

Authors

Institutions

Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2025-08-28
DOI
https://doi.org/10.1097/rct.0000000000001800
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cyclic Characteristics of Perfusion and Diffusion in Normal Uterus: A Mono-Exponential and Bi-Exponential DWI Evaluation

Shiman Wu, Qi Zhang, Qing X. Li, Yajie Li et al.
Journal of Computer Assisted Tomography
Ultrasound and Hyperthermia Applications
article

Cyclic Characteristics of Perfusion and Diffusion in Normal Uterus: A Mono-Exponential and Bi-Exponential DWI Evaluation

Shiman Wu, Qi Zhang, Qing X. Li, Yajie Li, Yu Mao, Caixia Fu, Hanqiu Liu, Yujia Shen
article en

Abstract

IVIM MRI enables noninvasive quantification of uterine perfusion and diffusion dynamics and reveals characteristic variations in the uterine corpus and cervix throughout the menstrual cycle.

Journal of Computer Assisted TomographyVol. 50(2)
Fudan University (CN), Nanjing Children's Hospital (CN), Second Affiliated Hospital of Nanjing Medical University (CN), Shanghai Institute of Hematology (CN), Siemens Healthcare (United States) (US), Huashan Hospital (CN)
Openalex Percentile: Top 76%
Ultrasound and Hyperthermia Applications
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.