medric medric
[닫기]
잠시만 기다려 주세요. 로딩중입니다.

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

Korean Journal of Radiology 2019년 20권 10호 p.1409 ~ 1421
 ( Lee Da-Hyun ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Radiology

 ( Yoon Choon-Sik ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Radiology
 ( Lim Beom-Jin ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Pathology
 ( Lee Hye-Sun ) - Yonsei University College of Medicine Biostatistics Collaboration Unit
 ( Kim Sin-Ae ) - Yonsei University College of Medicine Biostatistics Collaboration Unit
 ( Choi A-Lam ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Radiology
김성준 ( Kim Sung-Jun ) - Yonsei University College of Medicine Gangnam Severance Hospital Department of Radiology

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.

키워드

Epidermal cyst; Submarine sign; Ultrasound; Nomogram
원문 및 링크아웃 정보
   
등재저널 정보