Literature DB >> 26623532

Dose-surface analysis for prediction of severe acute radio-induced skin toxicity in breast cancer patients.

Francesco Pastore1, Manuel Conson1,2, Vittoria D'Avino2, Giuseppe Palma2, Raffaele Liuzzi1,2, Raffaele Solla1,2, Antonio Farella1, Marco Salvatore1, Laura Cella1,2, Roberto Pacelli1,2.   

Abstract

BACKGROUND: Severe acute radiation-induced skin toxicity (RIST) after breast irradiation is a side effect impacting the quality of life in breast cancer (BC) patients. The aim of the present study was to develop normal tissue complication probability (NTCP) models of severe acute RIST in BC patients. PATIENTS AND METHODS: We evaluated 140 consecutive BC patients undergoing conventional three-dimensional conformal radiotherapy (3D-CRT) after breast conserving surgery in a prospective study assessing acute RIST. The acute RIST was classified according to the RTOG scoring system. Dose-surface histograms (DSHs) of the body structure in the breast region were extracted as representative of skin irradiation. Patient, disease, and treatment-related characteristics were analyzed along with DSHs. NTCP modeling by Lyman-Kutcher-Burman (LKB) and by multivariate logistic regression using bootstrap resampling techniques was performed. Models were evaluated by Spearman's Rs coefficient and ROC area.
RESULTS: By the end of radiotherapy, 139 (99%) patients developed any degree of acute RIST. G3 RIST was found in 11 of 140 (8%) patients. Mild-moderate (G1-G2) RIST was still present at 40 days after treatment in six (4%) patients. Using DSHs for LKB modeling of acute RIST severity (RTOG G3 vs. G0-2), parameter estimates were TD50=39 Gy, n=0.38 and m=0.14 [Rs = 0.25, area under the curve (AUC) = 0.77, p = 0.003]. On multivariate analysis, the most predictive model of acute RIST severity was a two-variable model including the skin receiving ≥30 Gy (S30) and psoriasis [Rs = 0.32, AUC = 0.84, p < 0.001].
CONCLUSIONS: Using body DSH as representative of skin dose, the LKB n parameter was consistent with a surface effect for the skin. A good prediction performance was obtained using a data-driven multivariate model including S30 and a pre-existing skin disease (psoriasis) as a clinical factor.

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Year:  2015        PMID: 26623532     DOI: 10.3109/0284186X.2015.1110253

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  11 in total

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Journal:  Radiat Oncol       Date:  2018-04-19       Impact factor: 3.481

4.  Acute radiodermatitis in modern adjuvant 3D conformal radiotherapy for breast cancer - the impact of dose distribution and patient related factors.

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5.  Dosimetric effects of supine immobilization devices on the skin in intensity-modulated radiation therapy for breast cancer: a retrospective study.

Authors:  Ran Lv; Guangyi Yang; Yongzhi Huang; Yanhong Wang
Journal:  BMC Cancer       Date:  2021-04-09       Impact factor: 4.430

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Authors:  Ye-In Park; Seo Hee Choi; Chae-Seon Hong; Min-Seok Cho; Junyoung Son; Ji Won Jang; Jihun Kim; Hojin Kim; Dong Wook Kim; Jin Sung Kim
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8.  Hydrofilm Polyurethane Films Reduce Radiation Dermatitis Severity in Hypofractionated Whole-Breast Irradiation: An Objective, Intra-Patient Randomized Dual-Center Assessment.

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9.  External Validation of a Predictive Model for Acute Skin Radiation Toxicity in the REQUITE Breast Cohort.

Authors:  Tim Rattay; Petra Seibold; Miguel E Aguado-Barrera; Manuel Altabas; David Azria; Gillian C Barnett; Renée Bultijnck; Jenny Chang-Claude; Ananya Choudhury; Charlotte E Coles; Alison M Dunning; Rebecca M Elliott; Marie-Pierre Farcy Jacquet; Sara Gutiérrez-Enríquez; Kerstie Johnson; Anusha Müller; Giselle Post; Tiziana Rancati; Victoria Reyes; Barry S Rosenstein; Dirk De Ruysscher; Maria C de Santis; Elena Sperk; Hilary Stobart; R Paul Symonds; Begoña Taboada-Valladares; Ana Vega; Liv Veldeman; Adam J Webb; Catharine M West; Riccardo Valdagni; Christopher J Talbot
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Journal:  Radiat Oncol       Date:  2020-10-07       Impact factor: 3.481

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