Dose-LET Interactions Predict Capsular Contracture After Proton Postmastectomy Radiation Therapy
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866911382022127616 |
|---|---|
| author | Chen, Jingyuan Ma, Zeliang Cao, Meiyun Gao, Robert W. Yang, Yunze Ding, Yuzhen Remmes, Nicholas B. Ma, Jiasen Corbin, Kimberly S. Shumway, Dean A. Mutter, Robert W. Liu, Wei |
| author_facet | Chen, Jingyuan Ma, Zeliang Cao, Meiyun Gao, Robert W. Yang, Yunze Ding, Yuzhen Remmes, Nicholas B. Ma, Jiasen Corbin, Kimberly S. Shumway, Dean A. Mutter, Robert W. Liu, Wei |
| contents | Pencil beam scanning (PBS) proton therapy provides highly conformal dose distributions that are increasingly leveraged for postmastectomy radiation therapy (PMRT) to reduce cardiopulmonary exposure. However, implant-based reconstruction in the setting of PMRT remains vulnerable to capsular contracture, and biological mechanisms of possible high linear energy transfer (LET) in PBS have not been well characterized. A retrospective case-control study was conducted on consecutive breast cancer patients who underwent mastectomy followed by implant-based reconstruction and proton PMRT (50 Gy in 25 fractions) between 2015 and 2021. Dose-LET volume histograms (DLVHs) were calculated for peri-implant tissue (5-mm shell around the implant). Generalized linear mixed-effects regression (GLMER) was employed to identify DLVH indices significantly associated with capsular contracture. Spearman correlation analysis was used to eliminate redundance. DLVCs were derived from receiver operating characteristic (ROC) analysis and validated using support vector machine (SVM)-based normal tissue complication probability (NTCP) model. Eight capsular contracture and 16 matched controls patients were analyzed. Three independent and significant DLVH indices were identified(p<0.01). The corresponding DLVCs were: V(55.8 Gy[RBE=1.1], 2.2 keV/μm) < 0.0033%, V(50.3 Gy[RBE=1.1], 5.4 keV/μm) < 0.0017%, and V(32.8 Gy[RBE=1.1], 0.9 keV/μm) > 96.98%. The SVM-based NTCP model achieved an area under the ROC curve (AUROC) of 0.867, with 91.7% accuracy, 87.5% sensitivity, and 93.8% specificity. Capsular contracture following proton PMRT is significantly associated with the synergistic interplay between dose and LETd in peri-implant tissue. The derived DLVCs provide actionable dosimetric constraints that can be integrated into treatment planning to minimize capsular contracture risk in proton PMRT. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_11731 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Dose-LET Interactions Predict Capsular Contracture After Proton Postmastectomy Radiation Therapy Chen, Jingyuan Ma, Zeliang Cao, Meiyun Gao, Robert W. Yang, Yunze Ding, Yuzhen Remmes, Nicholas B. Ma, Jiasen Corbin, Kimberly S. Shumway, Dean A. Mutter, Robert W. Liu, Wei Medical Physics Pencil beam scanning (PBS) proton therapy provides highly conformal dose distributions that are increasingly leveraged for postmastectomy radiation therapy (PMRT) to reduce cardiopulmonary exposure. However, implant-based reconstruction in the setting of PMRT remains vulnerable to capsular contracture, and biological mechanisms of possible high linear energy transfer (LET) in PBS have not been well characterized. A retrospective case-control study was conducted on consecutive breast cancer patients who underwent mastectomy followed by implant-based reconstruction and proton PMRT (50 Gy in 25 fractions) between 2015 and 2021. Dose-LET volume histograms (DLVHs) were calculated for peri-implant tissue (5-mm shell around the implant). Generalized linear mixed-effects regression (GLMER) was employed to identify DLVH indices significantly associated with capsular contracture. Spearman correlation analysis was used to eliminate redundance. DLVCs were derived from receiver operating characteristic (ROC) analysis and validated using support vector machine (SVM)-based normal tissue complication probability (NTCP) model. Eight capsular contracture and 16 matched controls patients were analyzed. Three independent and significant DLVH indices were identified(p<0.01). The corresponding DLVCs were: V(55.8 Gy[RBE=1.1], 2.2 keV/μm) < 0.0033%, V(50.3 Gy[RBE=1.1], 5.4 keV/μm) < 0.0017%, and V(32.8 Gy[RBE=1.1], 0.9 keV/μm) > 96.98%. The SVM-based NTCP model achieved an area under the ROC curve (AUROC) of 0.867, with 91.7% accuracy, 87.5% sensitivity, and 93.8% specificity. Capsular contracture following proton PMRT is significantly associated with the synergistic interplay between dose and LETd in peri-implant tissue. The derived DLVCs provide actionable dosimetric constraints that can be integrated into treatment planning to minimize capsular contracture risk in proton PMRT. |
| title | Dose-LET Interactions Predict Capsular Contracture After Proton Postmastectomy Radiation Therapy |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2601.11731 |