Evidence map›Paper›PMID 42414707›Full record

ReviewJournal of imaging informatics in medicine2026

A Systematic Review and Meta-analysis of Two-Dimensional Breast Ultrasound Radiomics: Implications for Lesion Characterization and Diagnostic Accuracy.

Omar Abd Al Mjed Allasasmeh, Areej H Al-Sarairah, Muath A Odeh Hurani, Mus'ab S Alkasasbeh, Iza Nurzawani Che Isa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of imaging informatics in medicine, 2026. 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

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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Omar Abd Al Mjed AllasasmehCentre of Diagnostic, Therapeutic and Investigative Studies (CODTIS), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 56000, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0009-0000-5824-6247
Areej H Al-SarairahDiagnostic Imaging and Radiotherapy Program, Faculty of Health Sciences, School of Diagnostic and Applied Health Sciences, Universiti Kebangsaan Malaysia, 50300, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0009-0006-8611-0105
Muath A Odeh HuraniDepartment of Radiology, Ghor Safi Hospital, Jordanian Ministry of Health, Al Karak, 61110, Jordan.
Mus'ab S AlkasasbehDepartment of Allied Medical Sciences, Faculty of Applied Medical Sciences, Al Al-Bayt University, Mafraq, 2234, Jordan.ORCID http://orcid.org/0009-0008-0275-5171
Iza Nurzawani Che IsaCentre of Diagnostic, Therapeutic and Investigative Studies (CODTIS), Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 56000, Kuala Lumpur, Malaysia. zawaniisa@ukm.edu.my.ORCID http://orcid.org/0000-0002-8421-8095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiomics applied to two-dimensional breast ultrasound has emerged as a potential noninvasive approach for differentiating benign from malignant breast lesions; however, its diagnostic accuracy and methodological reliability remain uncertain. This PRISMA-DTA-compliant systematic review and meta-analysis (PROSPERO CRD420251149769) synthesized evidence from observational studies published between 2019 and 2026. A comprehensive search of PubMed, Scopus, Web of Science, and the Cochrane Library identified 27 eligible studies. Pooled sensitivity, specificity, and hierarchical summary ROC (HSROC) area under the curve were estimated using bivariate random-effects models; heterogeneity, threshold effects, and small-study effects were assessed with I

Indexed as

Artificial intelligenceBI-RADSBreast ultrasoundComputer-aided diagnosisDeep learningDiagnostic test accuracyImaging informaticsMachine learningRadiomicsSonography

Identifiers

PMID42414707

What OpenQuestion holds

Textmetadata
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.