Patient-specific breath-hold reproducibility in thoracic and abdominal radiotherapy: comparison of auditory and visual biofeedback

Regarding the reproducibility of breath-holding, both auditory and visual guidance methods demonstrated high precision. However, no significant differences were observed between the two approaches, and patient preference did not appear to affect reproducibility.

Authors

Institutions

Publication Details

Journal
Japanese Journal of Radiology
Published
2026-02-25
DOI
https://doi.org/10.1007/s11604-026-01948-0
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patient-specific breath-hold reproducibility in thoracic and abdominal radiotherapy: comparison of auditory and visual biofeedback

Takafumi Komiyama, Masahide Saito, Koji Ueda, Ryota Tozuka et al.
Japanese Journal of Radiology
Advanced Radiotherapy Techniques
article

Patient-specific breath-hold reproducibility in thoracic and abdominal radiotherapy: comparison of auditory and visual biofeedback

Takafumi Komiyama, Masahide Saito, Koji Ueda, Ryota Tozuka, Kan Marino, Hiroshi Onishi, Naoki Sano, Hikaru Nemoto
article en

Abstract

Regarding the reproducibility of breath-holding, both auditory and visual guidance methods demonstrated high precision. However, no significant differences were observed between the two approaches, and patient preference did not appear to affect reproducibility.

Japanese Journal of Radiology
University of Yamanashi Hospital (JP)
Openalex Percentile: Top 39%
Advanced Radiotherapy Techniques
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.