Evidence map›Paper›PMID 41589547›Full record

ArticleJournal of applied clinical medical physics2026

Reducing low-dose exposure in helical TomoTherapy for locally advanced left-sided breast cancer with a deformable image registration-based dose-mimicking workflow.

Chih-Chieh Chang, Jo-Ting Tsai, Shih-Ming Hsu

Abstract read
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Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Chih-Chieh ChangDepartment of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan, ROC.
Jo-Ting TsaiDepartment of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei, Taiwan, ROC.
Shih-Ming HsuMedical Physics and Radiation Measurements Laboratory, National Yang Ming Chiao Tung University, Taipei, Taiwan, ROC.

Funding

Taipei Medical University
6 · The paper itself

Abstract

backgroundHelical TomoTherapy provides highly conformal dose distributions for breast irradiation but is limited by extensive low-dose spillage ("low-dose bath"), contributing to increased integral dose and potential long-term toxicities. Complete blocks can suppress low-dose spread, but at the cost of prolonged treatment times on legacy TomoTherapy systems. PURPOSE: To develop and validate a deformable image registration (DIR)-based workflow that predicts patient-specific low-dose distributions and generates personalized complete blocks for TomoTherapy, aiming to reduce low-dose exposure and integral dose. A secondary objective was to determine whether Radixact, a modern helical platform, could mitigate treatment-time penalties while preserving dosimetric benefits.

methodsTwenty-eight patients were retrospectively analyzed (18 tangential partial-arc volumetric modulated arc therapy [t-VMAT], 10 TomoTherapy). DIR-based dose prediction derived from t-VMAT atlases was used to construct complete blocks for replanning on Hi-Art (TOMO_RE) and Radixact (TOMO_FA). Dosimetric endpoints included target conformity, homogeneity, organ-at-risk (OAR) doses, and integral dose (ID). Statistical analyses used Mann-Whitney U test for independent cohorts and Friedman/Wilcoxon tests for paired TomoTherapy plans with Holm-Bonferroni correction.

resultsTOMO_FA significantly reduced low-dose exposure compared with TOMO_ORI, including lower contralateral lung mean dose (0.79 vs. 3.13 Gy, p < 0.01) and reduced Heart V5 (12.81% vs. 20.94%, p = 0.027). Body-PTV ID decreased meaningfully (103.14 vs. 114.52 Gy·L, p = 0.012). High-dose cardiac parameters (V25, V40) remained within clinically acceptable limits and comparable to t-VMAT. Treatment time improved substantially on Radixact (587.2 ± 44.3 s vs. 1118.0 ± 135.5 s).

conclusionsThe proposed DIR-based complete block workflow effectively reduces low-dose exposure and integral dose in helical TomoTherapy without compromising delivery efficiency when implemented on Radixact. TOMO_FA represents a practical, personalized planning option, particularly for patients requiring stringent low-dose sparing.

Indexed as

Image Processing, Computer-AssistedOrgans at RiskPhantoms, ImagingRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUnilateral Breast NeoplasmsWorkflowFemaleHumansMiddle AgedPrognosisRadiotherapy DosageRetrospective Studiesbreast cancer radiotherapydeformable image registrationhelical TomoTherapyradixact

Identifiers

PMID41589547
PMCPMC12836287

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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.