Evidence map›Paper›PMID 42823975›Full record

ArticleAdvances in radiation oncology2026

Predicting Intolerance to Deep-Inspiration Breath-Hold for Abdominal Cancer Radiation Therapy.

Sangkyu Lee, Chuan Zeng, Jeho Jeong, Grace Tang, Ellen Yorke, Wendy Harris, Wei Lu, Vonetta M Williams, Christopher Crane, Lakshmi Santanam

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sangkyu LeeDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Chuan ZengDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Jeho JeongDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Grace TangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ellen YorkeDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Wendy HarrisDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Wei LuDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Vonetta M WilliamsDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Christopher CraneDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Lakshmi SantanamDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Purpose: This study aimed to predict deep-inspiration breath-hold (DIBH) intolerance during abdominal cancer radiation therapy and its impact on residual motion, based on patient characteristics and DIBH performance at simulation. Methods and Materials: We retrospectively studied 82 patients on voluntary DIBH for abdominal cancers between January and July 2022. DIBH was performed using infrared markers to track abdominal wall motion. The anteroposterior motion during simulation was recorded as a reference trace based on which a gate window was set. DIBH intolerance was defined as modification of the gate window or conversion to free breathing during the treatment course. Predictive features included reference trace characteristics (breath-hold level [BHL], DIBH stability and reproducibility, free-breathing amplitude, period, baseline drift) and baseline clinical characteristics (age, performance status, comorbidities, anxiety, preferred language). Univariate tests and random forest multivariate modeling were used for analysis, with model performance assessed using 10-fold cross-validation. The association between predicted intolerance and residual fiducial motion during treatment in a subset of 15 patients, was also investigated. Results: A statistically significant association was found between BHL at simulation and DIBH intolerance (4% false discover rate). A 1-mm increase in BHL increased intolerance risk by 7%. The multivariate model, combining trace and clinical characteristics, predicted DIBH intolerance with a median area under the curve of 0.63. Reference trace characteristics showed higher predictive importance than clinical characteristics. The predicted intolerance risk increased sharply for BHL >25 mm. Residual motion was significantly higher for the patient intolerant of DIBH ( Conclusions: Coaching patients to reach appropriate BHL is critical to DIBH tolerability and to reduce residual motion. The multivariate model suggests a limited but potential framework for predicting intolerance risk.

Identifiers

PMID42823975
PMCPMC13626936

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.