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Dose-toxicity surface histogram-based prediction of radiation dermatitis severity and shape

Authors
 Chae-Seon Hong  ;  Ye-In Park  ;  Min-Seok Cho  ;  Junyoung Son  ;  Changhwan Kim  ;  Min Cheol Han  ;  Hojin Kim  ;  Ho Lee  ;  Dong Wook Kim  ;  Seo Hee Choi  ;  Jin Sung Kim 
Citation
 PHYSICS IN MEDICINE AND BIOLOGY, Vol.69(11) : 115041, 2024-06 
Journal Title
PHYSICS IN MEDICINE AND BIOLOGY
ISSN
 0031-9155 
Issue Date
2024-06
MeSH
Aged ; Female ; Head and Neck Neoplasms / radiotherapy ; Humans ; Male ; Middle Aged ; Radiation Dosage ; Radiodermatitis* / etiology ; Radiotherapy Dosage ; Radiotherapy, Intensity-Modulated / adverse effects ; Severity of Illness Index ; Skin / diagnostic imaging ; Skin / pathology ; Skin / radiation effects
Keywords
dose-toxicity surface histogram ; predictive factor ; radiation dermatitis ; radiation therapy ; segmentation ; skin dose ; skin toxicity
Abstract
Objective. This study aimed to develop a new approach to predict radiation dermatitis (RD) by using the skin dose distribution in the actual area of RD occurrence to determine the predictive dose by grade. Approach. Twenty-three patients with head and neck cancer treated with volumetric modulated arc therapy were prospectively and retrospectively enrolled. A framework was developed to segment the RD occurrence area in skin photography by matching the skin surface image obtained using a 3D camera with the skin dose distribution. RD predictive doses were generated using the dose-toxicity surface histogram (DTH) calculated from the skin dose distribution within the segmented RD regions classified by severity. We then evaluated whether the developed DTH-based framework could visually predict RD grades and their occurrence areas and shapes according to severity. Main results. The developed framework successfully generated the DTH for three different RD severities: faint erythema (grade 1), dry desquamation (grade 2), and moist desquamation (grade 3); 48 DTHs were obtained from 23 patients: 23, 22, and 3 DTHs for grades 1, 2, and 3, respectively. The RD predictive doses determined using DTHs were 28.9 Gy, 38.1 Gy, and 54.3 Gy for grades 1, 2, and 3, respectively. The estimated RD occurrence area visualized by the DTH-based RD predictive dose showed acceptable agreement for all grades compared with the actual RD region in the patient. The predicted RD grade was accurate, except in two patients. Significance. The developed DTH-based framework can classify and determine RD predictive doses according to severity and visually predict the occurrence area and shape of different RD severities. The proposed approach can be used to predict the severity and shape of potential RD in patients and thus aid physicians in decision making.
Full Text
https://iopscience.iop.org/article/10.1088/1361-6560/ad4d4e
DOI
10.1088/1361-6560/ad4d4e
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Wook(김동욱) ORCID logo https://orcid.org/0000-0002-5819-9783
Kim, Jinsung(김진성) ORCID logo https://orcid.org/0000-0003-1415-6471
Kim, Changhwan(김창환)
Kim, Hojin(김호진) ORCID logo https://orcid.org/0000-0002-4652-8682
Lee, Ho(이호) ORCID logo https://orcid.org/0000-0001-5773-6893
Choi, Seo Hee(최서희) ORCID logo https://orcid.org/0000-0002-4083-6414
Han, Min Cheol(한민철)
Hong, Chae-Seon(홍채선) ORCID logo https://orcid.org/0000-0001-9120-6132
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/200087
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