Evidence map›Paper›PMID 36747143›Full record

ArticleBMC medical imaging2023

Differential diagnosis of gallbladder neoplastic polyps and cholesterol polyps with radiomics of dual modal ultrasound: a pilot study.

Hai-Xia Yuan, Changyan Wang, Cong-Yu Tang, Qi-Qin You, Qi Zhang, Wen-Ping Wang

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2023. 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
5.1field-weighted citation impact, top 4% 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, 16 citations in OpenAlex.

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  10. Application and prospects of AI-based radiomics in ultrasound diagnosis.Visual computing for industry, biomedicine, and art · 2023
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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

6 authors at 3 institutions in 1 country.

Hai-Xia Yuan *Department of Ultrasound, Zhongshan Hospital of Fudan University (Qingpu Branch), Shanghai, China.
Changyan Wang *School of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China.
Cong-Yu TangDepartment of Ultrasound, Zhongshan Hospital of Fudan University, Shanghai, China.
Qi-Qin YouDepartment of Ultrasound, Zhongshan Hospital of Fudan University (Qingpu Branch), Shanghai, China.
Qi ZhangSchool of Communication and Information Engineering, Shanghai University, Shanghai, 200444, China. zhangq@t.shu.edu.cn.
Wen-Ping WangDepartment of Ultrasound, Zhongshan Hospital of Fudan University, Shanghai, China. puguang61@126.com.
Zhongshan Hospital · CNShanghai University · CNFudan University · CN

Funding

Fujian Province for Health and Science Research Project 2019-ZQNB-39National Natural Science Foundation of China 62071285Shanghai Municipal Key Clinical Specialty shslczdzk03501Shanghai Science and Technology Innovation Action Plan 21Y11911200
6 · The paper itself

Abstract

purposeTo verify whether radiomics techniques based on dual-modality ultrasound consisting of B-mode and superb microvascular imaging (SMI) can improve the accuracy of the differentiation between gallbladder neoplastic polyps and cholesterol polyps.

methodsA total of 100 patients with 100 pathologically proven gallbladder polypoid lesions were enrolled in this retrospective study. Radiomics features on B-mode ultrasound and SMI of each lesion were extracted. Support vector machine was used to classify adenomas and cholesterol polyps of gallbladder for B-mode, SMI and dual-modality ultrasound, respectively, and the classification results were compared among the three groups.

resultsSix, eight and nine features were extracted for each lesion at B-mode ultrasound, SMI and dual-modality ultrasound, respectively. In dual-modality ultrasound model, the area under the receiver operating characteristic curve (AUC), classification accuracy, sensitivity, specificity, and Youden's index were 0.850 ± 0.090, 0.828 ± 0.097, 0.892 ± 0.144, 0.803 ± 0.149 and 0.695 ± 0.157, respectively. The AUC and Youden's index of the dual-modality model were higher than those of the B-mode model (p < 0.05). The AUC, accuracy, specificity and Youden's index of the dual-modality model were higher than those of the SMI model (p < 0.05).

conclusionsRadiomics analysis of the dual-modality ultrasound composed of B-mode and SMI can improve the accuracy of classification between gallbladder neoplastic polyps and cholesterol polyps.

Indexed as

GallbladderPolypsCholesterolDiagnosis, DifferentialHumansPilot ProjectsRetrospective StudiesUltrasonographyCholesterolGallbladder polypoid lesionRadiomicsSuperb microvascular imaging

Identifiers

PMID36747143
PMCPMC9901123
OpenAlexW4319319420

What OpenQuestion holds

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LicenceCC BY
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.