A retrospective evaluation of risk factors for an inadequate surgical margin in preoperative lipiodol marking for small-sized pulmonary lesions

CT-guided lipiodol marking is effective, but careful consideration of factors influencing surgical margins is crucial for successful resection. Further studies are warranted for refining surgical strategies.

Authors

Institutions

Publication Details

Journal
Journal of Thoracic Disease
Published
2025-11-01
DOI
https://doi.org/10.21037/jtd-2025-1450
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A retrospective evaluation of risk factors for an inadequate surgical margin in preoperative lipiodol marking for small-sized pulmonary lesions

Satoshi Fumimoto, Takahiro Katsumata, Katsushi Toyohara, Sho Takeda et al.
Journal of Thoracic Disease
Lung Cancer Diagnosis and Treatment
article

A retrospective evaluation of risk factors for an inadequate surgical margin in preoperative lipiodol marking for small-sized pulmonary lesions

Satoshi Fumimoto, Takahiro Katsumata, Katsushi Toyohara, Sho Takeda, Yuki Shindo, Shohei Okai, Kiyoshi Sato, Nobuharu Hanaoka
article en

Abstract

CT-guided lipiodol marking is effective, but careful consideration of factors influencing surgical margins is crucial for successful resection. Further studies are warranted for refining surgical strategies.

Journal of Thoracic DiseaseVol. 17(11)
Osaka University Hospital (JP), Osaka University of Pharmaceutical Sciences (JP)
Openalex Percentile: Top 49%
Lung Cancer Diagnosis and Treatment
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.