Time-Dependent Diffusion MRI Reveals Smaller Cell Size with Stable Volume in Hippocampus and Amygdala during Chemotherapy

Motivation: Chemotherapy can cause cognitive impairment in breast cancer patients. However, the microstructural changes in hippocampus and amygdala during chemotherapy remain unknown. Goal(s): To explore the patterns of microstructural changes of hippocampus and amygdala during chemotherapy. Approach: Volume on T1-weighted imaging and microstructure estimated by JOINT model in hippocampus and amygdala of 37 female breast cancer patients were recorded at baseline (T0), after the first (T1), and sixth (T6) or eighth (T8) cycle of neoadjuvant chemotherapy. Results: Bilateral hippocampus and amygdala have smaller cell size without volume change in breast cancer patients receiving neoadjuvant chemotherapy. Impact: By combining Time-Dependent Diffusion MRI and 3D T1WI MRI, a decrease in cell sizes with unchanged volume of hippocampus and amygdala among breast cancer patients was identified with repeated measurements during neoadjuvant chemotherapy, aiding early diagnosis and treatment of chemo-brain.

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/10.58530/2025/0588
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time-Dependent Diffusion MRI Reveals Smaller Cell Size with Stable Volume in Hippocampus and Amygdala during Chemotherapy

Dai‐Hong Liu, Diwei Shi, Ting Yin, Jiuquan Zhang 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
Advanced MRI Techniques and Applications
article

Time-Dependent Diffusion MRI Reveals Smaller Cell Size with Stable Volume in Hippocampus and Amygdala during Chemotherapy

Dai‐Hong Liu, Diwei Shi, Ting Yin, Jiuquan Zhang, Dan Wu, Junzhong Xu, Hua Guo, Xiaoyu Zhou, Yao Huang
article en

Abstract

Motivation: Chemotherapy can cause cognitive impairment in breast cancer patients. However, the microstructural changes in hippocampus and amygdala during chemotherapy remain unknown. Goal(s): To explore the patterns of microstructural changes of hippocampus and amygdala during chemotherapy. Approach: Volume on T1-weighted imaging and microstructure estimated by JOINT model in hippocampus and amygdala of 37 female breast cancer patients were recorded at baseline (T0), after the first (T1), and sixth (T6) or eighth (T8) cycle of neoadjuvant chemotherapy. Results: Bilateral hippocampus and amygdala have smaller cell size without volume change in breast cancer patients receiving neoadjuvant chemotherapy. Impact: By combining Time-Dependent Diffusion MRI and 3D T1WI MRI, a decrease in cell sizes with unchanged volume of hippocampus and amygdala among breast cancer patients was identified with repeated measurements during neoadjuvant chemotherapy, aiding early diagnosis and treatment of chemo-brain.

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 64%
Advanced MRI Techniques and 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.