Analysis of Clinically Symptomatic Patients to Differentiate Inflammatory Breast Cancer from Mastitis in Asian Women.

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Article in Life (Basel, Switzerland), 2024. 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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2 authors.

Han Song MunDepartment of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.ORCID 0000-0003-4718-1788

Ha Yeun OhDepartment of Radiology, College of Medicine/School of Medicine, Kangwon National University, Chuncheon-si 24341, Republic of Korea.ORCID 0000-0001-8591-6947

Funding

Kangwon National University the research grant of Kangwon National University in 2024.

6 · The paper itself

Abstract

purposeTo differentiate inflammatory breast cancer (IBC) from mastitis in Asian women presenting with symptoms of inflammation.

methodsBetween January 2012 and June 2024, 101 Asian women with symptoms of inflammation underwent breast ultrasound (US). Clinical and demographic data were extracted from patients' medical records. US analysis assessed lesion bilaterality, location, type, size, internal changes, and lymph node status. Patients with suspicious findings had US-guided biopsies, and pathology reports were reviewed for tumor histology and immunohistochemical markers. Logistic regression was used to determine odds ratios.

resultsOf the 101 participants, 14 (13.9%) were diagnosed with IBC and 87 (86.1%) were diagnosed with mastitis. Patients with IBC were significantly older (46.4 vs. 38.4 years,

conclusionIn Asian women, age, menopausal status, symptom onset duration, and swelling are effective in differentiating IBC from mastitis. Logistic regression confirmed that symptom onset duration and swelling are significant predictors of IBC, with US findings indicating larger lesion sizes and more frequent whole-breast involvement.

Indexed as

Asianinflammatory breast cancermastitisultrasound

Identifiers

PMID39859945

DOI10.3390/life15010005

PMCPMC11766986

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LicenceCC BY

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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.