Prognostic prediction of pancreatic ductal adenocarcinoma lymph node metastasis using the HISTO technique

Motivation: The preoperative prediction of the lymph node metastasis of pancreatic ductal adenocarcinoma (PDCA) holds the potential to optimize subsequent patient treatment protocols. Goal(s): This study aims to investigate the feasibility of utilizing quantitative values derived from the(High-Speed T2-Corrected Multi-echo MR Spectroscopic Method for Quantifying(HISTO)techniquefor the evaluation of the lymph node metastasis of PDCA. Approach: A retrospective analysis of 66 patients who underwent HISTO technique scans was conducted to assess the diagnostic performance of relevant indicators. Results: The Fat fraction(FF)value demonstrated predictive value for the lymph node metastasis of PDCA differentiation. Impact: This research highlights the promising potential of HISTO technique in preoperatively predicting the lymph node metastasis of PDAC, offering valuable insights for clinical decision-making.

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/10.58530/2025/1746
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

Prognostic prediction of pancreatic ductal adenocarcinoma lymph node metastasis using the HISTO technique

Jinggang Zhang, F Liu, Jing Lv, Jie Chen 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
Radiomics and Machine Learning in Medical Imaging
article

Prognostic prediction of pancreatic ductal adenocarcinoma lymph node metastasis using the HISTO technique

Jinggang Zhang, F Liu, Jing Lv, Jie Chen, Jing Zhang, Mingming Yang, Xing Wei, Qi Jiang
article en

Abstract

Motivation: The preoperative prediction of the lymph node metastasis of pancreatic ductal adenocarcinoma (PDCA) holds the potential to optimize subsequent patient treatment protocols. Goal(s): This study aims to investigate the feasibility of utilizing quantitative values derived from the(High-Speed T2-Corrected Multi-echo MR Spectroscopic Method for Quantifying(HISTO)techniquefor the evaluation of the lymph node metastasis of PDCA. Approach: A retrospective analysis of 66 patients who underwent HISTO technique scans was conducted to assess the diagnostic performance of relevant indicators. Results: The Fat fraction(FF)value demonstrated predictive value for the lymph node metastasis of PDCA differentiation. Impact: This research highlights the promising potential of HISTO technique in preoperatively predicting the lymph node metastasis of PDAC, offering valuable insights for clinical decision-making.

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 65%
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.