Evidence map›Paper›PMID 39476275›Full record

ArticleLa Radiologia medica2024

Preoperative identification from occult leiomyosarcomas in laparoscopic hysterectomy and laparoscopic myomectomy: accuracy of the ultrasound scoring system (PRESS-US).

Zhuolin Jiang, Shijun Jia, Jie Zhang, Chun Liu, Xinyi Luo, Yixin Tang, Guonan Zhang, Yi Zhu

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In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

8 authors.

Zhuolin JiangDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China.
Shijun JiaDepartment of Pathology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), Chengdu, 610041, China.
Jie ZhangDepartment Gynecologic Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China.
Chun LiuDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China.
Xinyi LuoDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China.
Yixin TangDepartment of Ultrasound, Suining Central Hospital, Suining, 629000, China.
Guonan ZhangDepartment Gynecologic Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China. zhanggn@hotmail.com.
Yi ZhuDepartment of Ultrasound, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China (UESTC), NO. 55, Section 4, Renmin South Road, Chengdu, 610041, China. doczhuy@163.com.ORCID http://orcid.org/0000-0002-8783-319X

Funding

China-Japan Sasakawa Medical Fellowship 2021-111China Postdoctoral Science Foundation 2023M730510Key Research and Development Program of Sichuan Province 2023YFS0093
6 · The paper itself

Abstract

purposeTo assess the diagnostic performance and inter-observer agreement of a PREoperative sarcoma scoring based on ultrasound (PRESS-US) in differentiating uterine leiomyosarcoma (uLMS) from leiomyoma (LM).

methodsWe conducted a retrospective evaluation of patients who underwent surgery and received standardized ultrasound examinations due to the presence of uterine myoma-like masses. Histological diagnosis was used as the reference standard. The masses were analyzed using morphological uterus sonographic assessment criteria, and the diagnostic accuracy of PRESS-US was evaluated using ROC curve analysis. Kappa (κ) statistics were used to assess the inter-observer agreement between a less experienced and an expert radiologist.

resultsAmong the 646 patients, 632 (97.8%) were diagnosed with LM, and 14 (2.2%) had uLMS. The malignancy rates for low-risk and high-risk patients were 0.35% and 13.48%, respectively. The optimal PRESS-US cutoff was 17.5, resulting in an AUC of 89.7% (95% CI, 0.79-1.00), with a sensitivity of 85.7% and a specificity of 87.8%. The inter-observer agreement between a less experienced and an expert radiologist was excellent (κ = 0.811, P < 0.001).

conclusionsPRESS-US provides effective risk stratification for uLMS for radiologists with different levels of experience, with high reliability. Subgrouping high-risk patients helps in better risk stratification.

Indexed as

HysterectomyLaparoscopyLeiomyomaLeiomyosarcomaUltrasonographyUterine MyomectomyUterine NeoplasmsAdultAgedDiagnosis, DifferentialFemaleHumansMiddle AgedRetrospective StudiesSensitivity and SpecificityGynecological malignanciesLeiomyomasLeiomyosarcomasUltrasound scoring systemUterine mass

Identifiers

PMID39476275

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