Quantitative study of changes in the hippocampus after radiotherapy via multisequence magnetic resonance imaging radiomics

Motivation: In Alzheimer's disease , the hippocampus undergoes dynamic changes in volume and structure, paralleling similar changes observed post whole brain radiotherapy(WBRT). Goal(s): Multisequence magnetic resonance imaging (MRI) radiomic features were used to analyze dynamic changes in the hippocampus after radiotherapy. Approach: Seventy-five patients were enrolled, and multi-sequence MRI radiomics —including T1WI, CE-T1WI, T2WI, T2 FLAIR, and DWI —assessed hippocampal alterations pre- and post-WBRT. Radiomic features, analyzed with RT-Mind software, were grouped into two categories based on MRI stage differences. Results: Findings showed specific features from T1WI, CE-T1WI, and T2WI reflect microscopic changes, underscoring radiomics as a valuable tool for monitoring hippocampal injury over time following WBRT. Impact: This study highlights the potential of multi-sequence MRI radiomics as a valuable tool for detecting and tracking hippocampal changes following WBRT, offering new insights for early intervention and improved management of cognitive decline in brain metastases patients.

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/10.58530/2025/4355
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative study of changes in the hippocampus after radiotherapy via multisequence magnetic resonance imaging radiomics

gong zhong, liu rui, yin yong, Dmytro Pylypenko
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
Radiomics and Machine Learning in Medical Imaging
article

Quantitative study of changes in the hippocampus after radiotherapy via multisequence magnetic resonance imaging radiomics

gong zhong, liu rui, yin yong, Dmytro Pylypenko
article en

Abstract

Motivation: In Alzheimer's disease , the hippocampus undergoes dynamic changes in volume and structure, paralleling similar changes observed post whole brain radiotherapy(WBRT). Goal(s): Multisequence magnetic resonance imaging (MRI) radiomic features were used to analyze dynamic changes in the hippocampus after radiotherapy. Approach: Seventy-five patients were enrolled, and multi-sequence MRI radiomics —including T1WI, CE-T1WI, T2WI, T2 FLAIR, and DWI —assessed hippocampal alterations pre- and post-WBRT. Radiomic features, analyzed with RT-Mind software, were grouped into two categories based on MRI stage differences. Results: Findings showed specific features from T1WI, CE-T1WI, and T2WI reflect microscopic changes, underscoring radiomics as a valuable tool for monitoring hippocampal injury over time following WBRT. Impact: This study highlights the potential of multi-sequence MRI radiomics as a valuable tool for detecting and tracking hippocampal changes following WBRT, offering new insights for early intervention and improved management of cognitive decline in brain metastases patients.

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 63%
Radiomics and Machine Learning in Medical Imaging
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.