Evidence map›Paper›PMID 35994107›Full record

ArticleArchives of gynecology and obstetrics2023

Predictive accuracy and reproducibility of the O-RADS US scoring system among sonologists with different training levels.

Manli Wu, Man Zhang, Junyan Cao, Shuangyu Wu, Ying Chen, Liping Luo, Xin Lin, Manting Su, Xinling Zhang

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In one paragraph

Article in Archives of gynecology and obstetrics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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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

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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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Manli Wu *Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Man Zhang *Department of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Junyan CaoDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Shuangyu WuDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Ying ChenDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Liping LuoDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Xin LinDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Manting SuDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China.
Xinling ZhangDepartment of Ultrasound, Third Affiliated Hospital of Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, 510630, Guangdong Province, People's Republic of China. zhxinl@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-7021-3533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the predictive performance and reproducibility of Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) system in evaluating adnexal masses between sonologists with varying levels of expertise.

methodsThis was a single-center retrospective study conducted between May 2019 and May 2020, which included 147 adnexal mases with pathological results. Four sonologists with varying experiences independently assigned an O-RADS US category to each adnexal mass twice. The intra- and inter-observer agreement was assessed using weighted kappa values. The area under the curve (AUC), sensitivity, specificity, positive and negative predictive value (PPV and NPV) were assessed for each sonologist.

resultsOf the 147 adnexal mases, 115 (78.2%) lesions were benign and 32 (21.8%) lesions were malignant. Considering O-RADS > 3 as a predictor for adnexal malignancy, the predictive accuracies of the four sonologists were excellent, with AUCs ranging from 0.831 to 0.926. The predictive accuracies of O-RADS US by experienced sonologists were significantly higher compared to inexperienced sonologists (all P values < 0.005). The O-RADS US presented high sensitivity and NPV value for each sonologist. With regard to the reproducibility of O-RADS, the intra- and inter-observer agreement among experienced sonologists performed better than inexperienced sonologists.

conclusionO-RADS showed difference in the predictive accuracy and reproducibility in the evaluation of adnexal masses among sonologists with different levels of expertise. Training is required for inexperienced sonologists before the generalization of O-RADS classification system in clinical practice.

Indexed as

Adnexal DiseasesFemaleHumansReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityUltrasonographyAdnexal massO-RADSPredictive accuracyReproducibility

Identifiers

PMID35994107

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