Evidence map›Paper›PMID 31544366›Full record

ArticleKorean journal of radiology2019

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

Da Hyun Lee, Choon Sik Yoon, Beom Jin Lim, Hye Sun Lee, Sinae Kim, A Lam Choi, Sungjun Kim

Open access · bronzeAbstract read
In one paragraph

Article in Korean journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 27 citations in OpenAlex.

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  10. Overview of Ultrasound Imaging Applications in Dermatology.Journal of cutaneous medicine and surgery · 2021
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Da Hyun LeeDepartment of Radiology, Gangnam Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-7593-0403
Choon Sik YoonDepartment of Radiology, Gangnam Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-2010-6710
Beom Jin LimDepartment of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0003-2856-0133
Hye Sun LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0001-6328-6948
Sinae KimBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-9900-492X
A Lam ChoiDepartment of Radiology, Gangnam Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea.ORCID 0000-0002-0325-4802
Sungjun KimDepartment of Radiology, Gangnam Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea. agn70@yuhs.ac.ORCID 0000-0002-7876-7901
Yonsei University · KRGangnam Severance Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a diagnostic model for superficial soft tissue lesions to differentiate epidermal cyst (EC) from other lesions based on ultrasound (US) features. MATERIALS AND

methodsThis 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.

resultsMore-than-half-depth involvement of the dermal layer (odds ratio [OR] = 3.35;

conclusionMore-than-half-depth of involvement of the dermal layer, "submarine sign," and morphology are relatively better US features than the others for diagnosing EC.

Indexed as

AdultArea Under CurveEpidermal CystEpidermisFemaleHumansLogistic ModelsMaleNomogramsOdds RatioRetrospective StudiesROC CurveUltrasonographyEpidermal cystNomogramSubmarine signUltrasound

Identifiers

PMID31544366
PMCPMC6757000
OpenAlexW2974621942

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.