Evidence map›Paper›PMID 41890534›Full record

ArticleAdvances in radiation oncology2026

Intrafractional Motion and Margin Assessment for Cone Beam Computed Tomography Guided Online Adaptive Radiation Therapy in Head and Neck Cancer.

Chien-Yi Liao, Sean Domal, Prashant Yarlagadda, John Michael Tomagan, David Parsons, Jing Wang, Vladimir Avkshtol, Steve Jiang, Dominic Moon, David Sher and 1 more

Abstract read
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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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Chien-Yi LiaoDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Sean DomalDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Prashant YarlagaddaDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, Mississippi.
John Michael TomaganDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
David ParsonsDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Jing WangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Vladimir AvkshtolDepartment of Radiation Oncology, Kelsey-Seybold Clinic, Houston, Texas.
Steve JiangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Dominic MoonDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
David SherDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Mu-Han LinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Daily online adaptive radiation therapy (oART) for head and neck squamous cell carcinoma (HNSCC) holds the potential to holds the potential to dramatically reduce margins accounting for setup uncertainty. However, careful margin assessment is critical due to the additional time required for real-time contouring and planning, which may lead to consequential intrafractional motion. This study aimed to quantify the intrafraction motion margin required for cone beam computed tomography (CBCT) guided oART in HNSCC. Methods and Materials: This retrospective analysis included 24 patients with HNSCC who were treated with CBCT guided daily oART as part of a prospective clinical trial. Eligible patients were treated for oropharyngeal, laryngeal, and hypopharyngeal HNSCC. One fraction was assessed per week for each patient. For each of the oART sessions, a preplanning CBCT and a near posttreatment (PT) CBCT, acquired before the last field delivery, were obtained. "Gold standard" (GS) gross tumor volume (GTV) and clinical target volume (CTV) were retrospectively contoured on both CBCTs without time constraints. Radial margins of 1, 2, and 3 mm plus a craniocaudal margin of 2 mm (CBCT slice thickness) were applied to the planning GS contours to assess geometric overlap with PT GS contours. Dosimetric coverage (V100% ≥95% and V95% ≥99%) of the adapted plan generated with preplanning CBCT GS contour on the PT-CBCT GS contour was evaluated. Workflow times, including the interval from planning CBCT to final beam delivery, were recorded. Results: A total of 166 fractions were evaluated, with an average time of 33 minutes (absolute range, 25-58 minutes) between planning CBCT and delivery completion. Geometric overlap and dosimetric coverage analysis showed that a 1-mm axial and 2-mm superior-inferior margin achieved >99% geometric overlap for all GS targets and met dosimetric coverage goals: primary GTV receiving 70 Gy (GTVp-70; 99.7% geometric coverage, V100 = 96.9%), nodal GTV receiving 70 Gy (GTVn-70; 99.0%, 96.6%), primary CTV receiving 63 Gy (CTV-63; 99.4%, 98.7%), nodal GTV receiving 63 Gy for suspicious nodes >17 mm (GTVn-63; 99.1%, 96.8%), and nodal GTV receiving 56 Gy for suspicious nodes ≤17 mm (GTVn-56; 99.6%, 99.0%). Conclusions: Despite the time required for the adaptive process, daily oART achieves robust geometric and dosimetric coverage with minimal intrafraction motion margin. This stability suggests that daily oART for HNSCC can significantly facilitate the use of a smaller planning target volume margin.

Identifiers

PMID41890534
PMCPMC13014637

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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.