Clinical usefulness of four-dimensional dynamic ventilation CT for borderline resectable locally advanced esophageal cancer

4DCT may provide information complementary to that provided by initial conventional CT in assessing resectability among patients with BR-LAEC, and could be a useful adjunct tool for guiding clinical decisions in this patient population.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Radiology
Published
2024-10-19
DOI
https://doi.org/10.1007/s11604-024-01678-1
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical usefulness of four-dimensional dynamic ventilation CT for borderline resectable locally advanced esophageal cancer

Takeo Fujita, Daisuke Kotani, Shingo Sakashita, Shioto Oda et al.
Japanese Journal of Radiology
Lung Cancer Diagnosis and Treatment
article

Clinical usefulness of four-dimensional dynamic ventilation CT for borderline resectable locally advanced esophageal cancer

Takeo Fujita, Daisuke Kotani, Shingo Sakashita, Shioto Oda, Tomohiro Kadota, Takashi Hiyama, Hirofumi Kuno, Tatsushi Kobayashi
article en

Abstract

4DCT may provide information complementary to that provided by initial conventional CT in assessing resectability among patients with BR-LAEC, and could be a useful adjunct tool for guiding clinical decisions in this patient population.

Japanese Journal of RadiologyVol. 43(3)
National Cancer Center Hospital East (JP)
Canon Medical Systems Corporation
Good health and well-being
Openalex Percentile: Top 66%
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.