27 47

Cited 0 times in

Ultrasound Feature-Based Diagnostic Model Focusing on the "Submarine Sign" for Epidermal Cysts among Superficial Soft Tissue Lesions

Authors
 Da Hyun Lee  ;  Choon-Sik Yoon  ;  Beom Jin Lim  ;  Hye Sun Lee  ;  Sinae Kim  ;  A Lam Choi  ;  Sungjun Kim 
Citation
 KOREAN JOURNAL OF RADIOLOGY, Vol.20(10) : 1409-1421, 2019 
Journal Title
 KOREAN JOURNAL OF RADIOLOGY 
ISSN
 1229-6929 
Issue Date
2019
Keywords
Epidermal cyst ; Nomogram ; Submarine sign ; Ultrasound
Abstract
OBJECTIVE: To develop a diagnostic model for superficial soft tissue lesions to differentiate epidermal cyst (EC) from other lesions based on ultrasound (US) features. MATERIALS AND METHODS: This retrospective study included 205 patients who had undergone US examinations for superficial soft tissue lesions and subsequent surgical excision. The study population was divided into the derivation set (n = 112) and validation set (n = 93) according to the imaging date. The following US features were analyzed to determine those that could discriminate EC from other lesions: more-than-half-depth involvement of the dermal layer, "submarine sign" (focal projection of the hypoechoic portion to the epidermis), posterior acoustic enhancement, posterior wall enhancement, morphology, shape, echogenicity, vascularity, and perilesional fat change. Using multivariable logistic regression, a diagnostic model was constructed and visualized as a nomogram. The performance of the diagnostic model was assessed by calculating the area under the curve (AUC) of the receiver operating characteristic curve and calibration plot in both the derivation and validation sets. RESULTS: More-than-half-depth involvement of the dermal layer (odds ratio [OR] = 3.35; p = 0.051), "submarine sign" (OR = 12.2; p < 0.001), and morphology (OR = 5.44; p = 0.002) were features that outweighed the others when diagnosing EC. The diagnostic model based on these features showed good discrimination ability in both the derivation set (AUC = 0.888, 95% confidence interval [95% CI] = 0.825-0.950) and validation set (AUC = 0.902, 95% CI = 0.832-0.972). CONCLUSION: More-than-half-depth of involvement of the dermal layer, "submarine sign," and morphology are relatively better US features than the others for diagnosing EC.
Files in This Item:
T201904267.pdf Download
DOI
10.3348/kjr.2019.0241
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kim, Sungjun(김성준) ORCID logo https://orcid.org/0000-0002-7876-7901
Kim, Si Nae(김시내)
Yoon, Choon Sik(윤춘식) ORCID logo https://orcid.org/0000-0003-2010-6710
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
Lim, Beom Jin(임범진) ORCID logo https://orcid.org/0000-0003-2856-0133
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/173191
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse