Evidence map›Paper›PMID 42830817›Full record

ArticlePhysics and imaging in radiation oncology2026

Dose accuracy evaluation of multi-leaf collimator modeling in single-isocenter multi-target stereotactic radiosurgery.

Farnaz Rahim Li, Rex A Cardan, Joel A Pogue, Natalie N Viscariello, Rodney J Sullivan, John B Fiveash, Carlos E Cardenas, Richard A Popple

Abstract read
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Article in Physics and imaging 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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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Farnaz Rahim LiDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Rex A CardanDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Joel A PogueDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Natalie N ViscarielloDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Rodney J SullivanDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
John B FiveashDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Carlos E CardenasDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Richard A PoppleDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Accurate modeling of multi-leaf collimators is critical for dose calculation in stereotactic radiosurgery (SRS), where steep dose gradients and small target volumes amplify modeling uncertainties. This study compared enhanced leaf modeling and dosimetric leaf gap approaches using two clinically implemented dose calculation algorithms in single-isocenter SRS plans. Materials and methods: Sixty clinical volumetric modulated arc therapy (VMAT) single-isocenter SRS plans (30 single-target, SIST; 30 multi-target, SIMT) were selected and measured with a two-dimensional diode array, normalized to a point measurement. Dose was calculated using both enhanced leaf model (ELM) and dosimetric leaf gap (DLG) models and the anisotropic analytical algorithm (AAA) and Acuros XB (AXB) algorithms across several spot-size configurations. Plan quality assurance was assessed using gamma analysis for several dose-distance criteria. Dose differences were further analyzed as functions of target size and distance from isocenter. Results: Under 2%/1 mm gamma criteria, AXB-DLG having spot size 0.5 × 0.5 mm Conclusions: DLG showed slightly better VMAT SRS agreement than ELM, but differences were clinically negligible. ELM's model-based MLC configuration removes user-specific DLG variability, potentially improving dose-calculation precision and consistency across institutions.

Indexed as

Dosimetric leaf gapEnhanced leaf modelMLC configurationStereotactic radiosurgery

Identifiers

PMID42830817
PMCPMC13634057

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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.