Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules. / Weltz, Tim Kongsmark; Ørholt, Mathias; Vester-Glowinski, Peter; Elberg, Jens Jørgen; Trillingsgaard, Jesper; Mielke, Louise Vennegaard; Hölmich, Lisbet Rosenkrantz; Damsgaard, Tine Engberg; Roslind, Anne; Herly, Mikkel.

In: Aesthetic Surgery Journal, 01.03.2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Weltz, TK, Ørholt, M, Vester-Glowinski, P, Elberg, JJ, Trillingsgaard, J, Mielke, LV, Hölmich, LR, Damsgaard, TE, Roslind, A & Herly, M 2024, 'Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules', Aesthetic Surgery Journal. https://doi.org/10.1093/asj/sjae050

APA

Weltz, T. K., Ørholt, M., Vester-Glowinski, P., Elberg, J. J., Trillingsgaard, J., Mielke, L. V., Hölmich, L. R., Damsgaard, T. E., Roslind, A., & Herly, M. (2024). Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules. Aesthetic Surgery Journal. https://doi.org/10.1093/asj/sjae050

Vancouver

Weltz TK, Ørholt M, Vester-Glowinski P, Elberg JJ, Trillingsgaard J, Mielke LV et al. Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules. Aesthetic Surgery Journal. 2024 Mar 1. https://doi.org/10.1093/asj/sjae050

Author

Weltz, Tim Kongsmark ; Ørholt, Mathias ; Vester-Glowinski, Peter ; Elberg, Jens Jørgen ; Trillingsgaard, Jesper ; Mielke, Louise Vennegaard ; Hölmich, Lisbet Rosenkrantz ; Damsgaard, Tine Engberg ; Roslind, Anne ; Herly, Mikkel. / Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules. In: Aesthetic Surgery Journal. 2024.

Bibtex

@article{6edc3e6ac9f54666803e473eabb92fb7,
title = "Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules",
abstract = "BACKGROUND: Capsular contracture is traditionally evaluated using the Baker classification. However, this classification has notable limitations in reproducibility and objectivity.OBJECTIVES: To develop and validate procedure-specific histopathological scoring systems to assess capsular contracture severity.METHODS: Biopsies of breast implant capsules were used to develop histopathological scoring systems for patients following breast augmentation and breast reconstruction. Ten histological parameters were evaluated using multivariable logistic regression to identify those most associated with capsular contracture. Significant parameters (p < 0.05) were selected for the scoring systems and assigned weighted scores (1-10). Validation was performed using area under the curve (AUC) and mean absolute error (MAE).RESULTS: A total of 720 biopsies from 542 patients were included. Four parameters were selected for the augmentation scoring system including collagen layer thickness, fiber organization, inflammatory infiltration, and calcification, providing a combined maximum score of 26. The AUC and MAE for the augmentation scoring system was 81% and 0.8% which is considered strong. Three parameters were selected for the reconstruction scoring system including fiber organization, collagen layer cellularity, and inflammatory infiltration, providing a combined maximum score of 19. The AUC and MAE of the reconstruction scoring system was 72% and 7.1% which is considered good.CONCLUSIONS: The new histopathological scoring systems provide an objective, reproducible, and accurate assessment of capsular contracture severity. We propose these novel scoring systems as a valuable tool for confirming the capsular contracture diagnosis in the clinical setting, for research, and for implant manufacturers and insurance providers in need of a confirmed capsular contracture diagnosis.",
author = "Weltz, {Tim Kongsmark} and Mathias {\O}rholt and Peter Vester-Glowinski and Elberg, {Jens J{\o}rgen} and Jesper Trillingsgaard and Mielke, {Louise Vennegaard} and H{\"o}lmich, {Lisbet Rosenkrantz} and Damsgaard, {Tine Engberg} and Anne Roslind and Mikkel Herly",
note = "{\textcopyright} The Author(s) 2024. Published by Oxford University Press on behalf of The Aesthetic Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.",
year = "2024",
month = mar,
day = "1",
doi = "10.1093/asj/sjae050",
language = "English",
journal = "Aesthetic Surgery Journal",
issn = "1090-820X",
publisher = "SAGE Publications",

}

RIS

TY - JOUR

T1 - Development and Validation of a Diagnostic Histopathological Scoring System for Capsular Contracture Based on 720 Breast Implant Capsules

AU - Weltz, Tim Kongsmark

AU - Ørholt, Mathias

AU - Vester-Glowinski, Peter

AU - Elberg, Jens Jørgen

AU - Trillingsgaard, Jesper

AU - Mielke, Louise Vennegaard

AU - Hölmich, Lisbet Rosenkrantz

AU - Damsgaard, Tine Engberg

AU - Roslind, Anne

AU - Herly, Mikkel

N1 - © The Author(s) 2024. Published by Oxford University Press on behalf of The Aesthetic Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

PY - 2024/3/1

Y1 - 2024/3/1

N2 - BACKGROUND: Capsular contracture is traditionally evaluated using the Baker classification. However, this classification has notable limitations in reproducibility and objectivity.OBJECTIVES: To develop and validate procedure-specific histopathological scoring systems to assess capsular contracture severity.METHODS: Biopsies of breast implant capsules were used to develop histopathological scoring systems for patients following breast augmentation and breast reconstruction. Ten histological parameters were evaluated using multivariable logistic regression to identify those most associated with capsular contracture. Significant parameters (p < 0.05) were selected for the scoring systems and assigned weighted scores (1-10). Validation was performed using area under the curve (AUC) and mean absolute error (MAE).RESULTS: A total of 720 biopsies from 542 patients were included. Four parameters were selected for the augmentation scoring system including collagen layer thickness, fiber organization, inflammatory infiltration, and calcification, providing a combined maximum score of 26. The AUC and MAE for the augmentation scoring system was 81% and 0.8% which is considered strong. Three parameters were selected for the reconstruction scoring system including fiber organization, collagen layer cellularity, and inflammatory infiltration, providing a combined maximum score of 19. The AUC and MAE of the reconstruction scoring system was 72% and 7.1% which is considered good.CONCLUSIONS: The new histopathological scoring systems provide an objective, reproducible, and accurate assessment of capsular contracture severity. We propose these novel scoring systems as a valuable tool for confirming the capsular contracture diagnosis in the clinical setting, for research, and for implant manufacturers and insurance providers in need of a confirmed capsular contracture diagnosis.

AB - BACKGROUND: Capsular contracture is traditionally evaluated using the Baker classification. However, this classification has notable limitations in reproducibility and objectivity.OBJECTIVES: To develop and validate procedure-specific histopathological scoring systems to assess capsular contracture severity.METHODS: Biopsies of breast implant capsules were used to develop histopathological scoring systems for patients following breast augmentation and breast reconstruction. Ten histological parameters were evaluated using multivariable logistic regression to identify those most associated with capsular contracture. Significant parameters (p < 0.05) were selected for the scoring systems and assigned weighted scores (1-10). Validation was performed using area under the curve (AUC) and mean absolute error (MAE).RESULTS: A total of 720 biopsies from 542 patients were included. Four parameters were selected for the augmentation scoring system including collagen layer thickness, fiber organization, inflammatory infiltration, and calcification, providing a combined maximum score of 26. The AUC and MAE for the augmentation scoring system was 81% and 0.8% which is considered strong. Three parameters were selected for the reconstruction scoring system including fiber organization, collagen layer cellularity, and inflammatory infiltration, providing a combined maximum score of 19. The AUC and MAE of the reconstruction scoring system was 72% and 7.1% which is considered good.CONCLUSIONS: The new histopathological scoring systems provide an objective, reproducible, and accurate assessment of capsular contracture severity. We propose these novel scoring systems as a valuable tool for confirming the capsular contracture diagnosis in the clinical setting, for research, and for implant manufacturers and insurance providers in need of a confirmed capsular contracture diagnosis.

U2 - 10.1093/asj/sjae050

DO - 10.1093/asj/sjae050

M3 - Journal article

C2 - 38429010

JO - Aesthetic Surgery Journal

JF - Aesthetic Surgery Journal

SN - 1090-820X

ER -

ID: 385050465