Preoperative selection of best-fit imaging targets and image-guided surgery improves tumor delineation and surgical outcomes: a proof-of-concept study

This proof-of-concept study demonstrates that tumor biology-based molecular imaging is feasible and can accurately delineate tumor boundaries. Preoperative analysis allows for the selection of optimal imaging targets with high SBRs, potentially enhancing surgical precision. However, its generalizability and clinical relevance require validation across multiple tumor models with sufficient sample size, extended follow-up, and clinical studies.

Authors

Institutions

Publication Details

Journal
International Journal of Surgery
Published
2025-12-17
DOI
https://doi.org/10.1097/js9.0000000000004442
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

Preoperative selection of best-fit imaging targets and image-guided surgery improves tumor delineation and surgical outcomes: a proof-of-concept study

Nayeon Choi, Dong Oh Shin, Han‐Sin Jeong
International Journal of Surgery
Radiomics and Machine Learning in Medical Imaging
article

Preoperative selection of best-fit imaging targets and image-guided surgery improves tumor delineation and surgical outcomes: a proof-of-concept study

Nayeon Choi, Dong Oh Shin, Han‐Sin Jeong
article en

Abstract

This proof-of-concept study demonstrates that tumor biology-based molecular imaging is feasible and can accurately delineate tumor boundaries. Preoperative analysis allows for the selection of optimal imaging targets with high SBRs, potentially enhancing surgical precision. However, its generalizability and clinical relevance require validation across multiple tumor models with sufficient sample size, extended follow-up, and clinical studies.

International Journal of SurgeryVol. 112(3)
Samsung Medical Center (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 45%
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.