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International journal of radiation oncology, biology, physics

August 13, 2026 · via Europe PMC

Dose-Linear Energy Transfer Interactions Predict Capsular Contracture After Proton Postmastectomy Radiation Therapy.

Chen J, Ma Z, Cao M, +8 more, Liu W.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Combined dose and LET in the tissue around the implant were linked to capsular contracture after proton postmastectomy radiation, producing exploratory dosimetric constraints.

What was studied

Retrospective matched case-control study (8 cases with Baker III-IV contracture vs 16 controls, from 145 patients) of implant reconstruction followed by proton PMRT (50 Gy in 25 fractions), 2015-2021.

Key findings

  • Three independent dose-LET volume histogram indices were significantly associated with capsular contracture.
  • The SVM-based NTCP model had AUC 0.867, accuracy 91.7%, sensitivity 87.5% and specificity 93.8%.

Clinical relevance

Suggests LET should be considered when planning proton PMRT in implant-based reconstruction.

Who should care

Radiation OncologyMedical OncologySurgical OncologyRadiodiagnosis/Radiology

Limitations

Only 8 events with leave-one-out cross-validation and no external validation, so the model is likely overfit and the cutoffs exploratory.

Do not adopt constraints clinically yet; consider LET in peri-implant tissue as a research variable.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Purpose

Pencil beam scanning proton therapy enables highly conformal dose distributions and is increasingly used for postmastectomy radiation therapy (PMRT) to reduce cardiopulmonary exposure. However, implant-based reconstruction (IBR) in the setting of PMRT remains susceptible to capsular contracture, and the potential contribution of elevated linear energy transfer (LET) in pencil beam scanning has not been well characterized. This study aimed to investigate the combined effects of dose-LET and dose-averaged LET on capsular contracture after proton PMRT and to derive preliminary, exploratory volume cutoff values of dose-LET volume constraints (DLVCs).

Methods and materials

We conducted a retrospective case-control study of patients with consecutive breast cancer who underwent mastectomy followed by IBR and conventionally fractionated proton PMRT (50 Gy in 25 fractions) between 2015 and 2021. Patients who developed Baker grades III to IV capsular contracture were identified and matched 1:2 with controls using nearest-neighbor matching based on clinical and pathologic variables. Dose-LET volume histograms (DLVHs) were calculated for peri-implant tissue (5-mm shell around the implant). Generalized linear mixed-effects regression was used to identify DLVH indices significantly associated with capsular contracture. Redundant indices were removed using Spearman correlation analysis. DLVCs were derived from receiver operating characteristic curve analysis and evaluated using a support vector machine-based normal tissue complication probability model with leave-one-out cross-validation.

Results

Among 145 consecutive patients, 8 developed capsular contracture and were matched to 16 controls. Three independent DLVH indices were significantly associated with capsular contracture (P 96.98%. The support vector machine-based normal tissue complication probability model achieved an area under the receiver operating characteristic curve value of 0.867, with an accuracy of 91.7%, a sensitivity of 87.5%, and a specificity of 93.8%.

Conclusions

Capsular contracture following proton PMRT is significantly associated with the combined effects of dose-LET and dose-averaged LET in peri-implant tissue. The derived DLVCs represent exploratory candidate dosimetric constraints that warrant further investigation and prospective validation in patients with breast cancer undergoing proton PMRT with IBR.

DOI

10.1016/j.ijrobp.2026.07.059

PMID

42595264

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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