Evidence map›Paper›PMID 40977301›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2025

Early prediction of neoadjuvant chemotherapy efficacy among patients with triple-negative breast cancer using an ultrasound-based radiomics nomogram.

Min-Jia Lin, Hai-Ling Zha, Man-Qi Zhang, Yu Du, Min Zong, Cui-Ying Li

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Article in Diagnostic and interventional radiology (Ankara, Turkey), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Min-Jia LinTaizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Department of Ultrasound, Taizhou, China.ORCID 0009-0004-4135-5921
Hai-Ling ZhaThe First Affiliated Hospital of Nanjing Medical University, Department of Ultrasound, Nanjing, China.ORCID 0000-0001-6285-0877
Man-Qi ZhangAffiliated Drum Tower Hospital of Nanjing University Medical School, Department of Ultrasound Medicine, Nanjing, China.ORCID 0000-0003-3599-7501
Yu DuShanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Department of Ultrasound, Shanghai, China.ORCID 0000-0001-6909-4357
Min ZongThe First Affiliated Hospital of Nanjing Medical University, Department of Radiology, Nanjing, China.ORCID 0000-0002-0452-507X
Cui-Ying LiThe First Affiliated Hospital of Nanjing Medical University, Department of Ultrasound, Nanjing, China.ORCID 0000-0002-8633-791X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and validate a radiomics nomogram based on early ultrasound (US) imaging for predicting pathologic complete response (pCR) in patients with triple-negative breast cancer (TNBC) receiving neoadjuvant chemotherapy (NAC).

methodsThis retrospective study included 328 patients with TNBC treated between September 2019 and January 2024, divided into a training cohort (n = 230) and a validation cohort (n = 98). Clinicopathologic data, US features before NAC, tumor volume reduction (TVR) after two cycles of NAC, and radiomics features were collected. Multiple logistic regression was applied to identify the potential predictors of pCR. The efficacy of the nomogram was evaluated through the receiver operating characteristic, calibration, and decision curve analyses. The study was approved by the ethics committee on February 28, 2024, with approval number 2023-SR-799, and the requirement for informed consent was waived.

resultsTwelve features were selected to construct the radiomics signature (RS). The nomogram, incorporating tumor histologic grade, TVR, and RS, yielded an area under the curve of 0.856 [95% confidence interval (CI), 0.807-0.905] in the training cohort and 0.836 (95% CI, 0.749-0.923) in the validation cohort, outperforming both the clinico-ultrasonic and RS models. The calibration and decision curves confirmed the nomogram's excellent calibration and clinical utility.

conclusionThe nomogram, which includes US characteristics, clinical variables, and radiomics features, exhibited satisfactory performance in predicting NAC efficacy in patients with TNBC. CLINICAL SIGNIFICANCE: The US-based radiomics nomogram, incorporating histologic grade, TVR, and RS, shows preliminary clinical application potential for predicting NAC efficacy in patients with TNBC.

Indexed as

Neoadjuvant TherapyNomogramsTriple Negative Breast NeoplasmsUltrasonography, MammaryAdultAgedChemotherapy, AdjuvantFemaleHumansMiddle AgedPredictive Value of TestsRadiomicsRetrospective StudiesROC CurveTreatment OutcomeUltrasonographyneoadjuvant chemotherapypathologic complete responseradiomicsTriple-negative breast cancerultrasonography

Identifiers

PMID40977301
PMCPMC12591095

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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.