An Assessment of Effective Radiation Dose When Utilizing the Illumisite System for Evaluation of Peripheral Pulmonary Lesions

Radiation exposure with the Illumisite system was less than historical reports for CT-guided biopsy or cone beam CT-guided bronchoscopic biopsies. Diagnostic yield and incidence of complications were comparable to prior reports.

Authors

Institutions

Publication Details

Journal
Journal of Bronchology & Interventional Pulmonology
Published
2025-03-26
DOI
https://doi.org/10.1097/lbr.0000000000001011
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

An Assessment of Effective Radiation Dose When Utilizing the Illumisite System for Evaluation of Peripheral Pulmonary Lesions

See‐Wei Low, Graham Stockdale, C. Yurosko, Bryan S. Benn
Journal of Bronchology & Interventional Pulmonology
Lung Cancer Diagnosis and Treatment
article

An Assessment of Effective Radiation Dose When Utilizing the Illumisite System for Evaluation of Peripheral Pulmonary Lesions

See‐Wei Low, Graham Stockdale, C. Yurosko, Bryan S. Benn
article en

Abstract

Radiation exposure with the Illumisite system was less than historical reports for CT-guided biopsy or cone beam CT-guided bronchoscopic biopsies. Diagnostic yield and incidence of complications were comparable to prior reports.

Journal of Bronchology & Interventional PulmonologyVol. 32(2)
Cleveland Clinic (US), Ta Solutions (China) (CN)
Good health and well-being
Openalex Percentile: Top 91%
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.