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Journal of clinical imaging science

November 24, 2025 · via Europe PMC

An unusual case of breast cancer masked by hidradenitis suppurativa.

Ramezanpour S, Vulasala SSR, Sharma S, Sharma S.

Case ReportsOpen access

AI summary — for doctors, generated from the abstract only

In a young woman with hidradenitis suppurativa, breast masses attributed to inflammation were invasive ductal carcinoma, diagnosed only after vertebral metastasis.

What was studied

Case report of a 28-year-old woman with chronic HS whose breast cancer diagnosis was delayed.

Key findings

  • Presented with back pain from thoracic vertebral metastasis
  • Breast imaging showed suspicious masses; biopsy confirmed IDC

Clinical relevance

This supports dedicated breast imaging when breast lesions in inflammatory skin conditions fail to respond to treatment.

Who should care

Radiodiagnosis/Radiology

Limitations

Single case report.

Do not let hidradenitis hide a breast cancer; image persistent breast lumps.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

We report a rare case of a 28-year-old African-American woman with chronic hidradenitis suppurativa (HS), in whom breast masses were initially misattributed to HS-related inflammation, delaying diagnosis of breast cancer. She presented with back pain and diagnostic work-up revealed thoracic vertebral metastasis. Dedicated breast imaging showed suspicious breast masses and biopsy confirmed invasive ductal carcinoma. This case highlights the importance of breast imaging when inflammatory skin conditions of the breast fail to respond to standard treatment.

DOI

10.25259/jcis_43_2025

PMID

41409392

PMCID

PMC12707591

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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