Characterizing pseudoangiomatous stromal hyperplasia ( <scp>PASH</scp> ) of the breast

ER/PR expression in PASH is less frequent than previously reported by some studies. However, the frequency of fat necrosis and associated fibrocystic changes in PASH support a chronic, hormone-related process. Consistent CD34 positivity and absence of markers seen in histologic mimics aid in the diagnosis of PASH in challenging cases. PASH does not appear to impart increased cancer risk.

Authors

Institutions

Publication Details

Journal
Histopathology
Published
2026-02-23
DOI
https://doi.org/10.1111/his.70127
Primary Topic
Breast Lesions and Carcinomas
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterizing pseudoangiomatous stromal hyperplasia ( PASH ) of the breast

Rahul Koshy, Pragya Jain, Julie M. Jorns
Histopathology
Breast Lesions and Carcinomas
article

Characterizing pseudoangiomatous stromal hyperplasia ( PASH ) of the breast

Rahul Koshy, Pragya Jain, Julie M. Jorns
article en

Abstract

ER/PR expression in PASH is less frequent than previously reported by some studies. However, the frequency of fat necrosis and associated fibrocystic changes in PASH support a chronic, hormone-related process. Consistent CD34 positivity and absence of markers seen in histologic mimics aid in the diagnosis of PASH in challenging cases. PASH does not appear to impart increased cancer risk.

Histopathology
Medical College of Wisconsin (US)
Good health and well-being
Openalex Percentile: Top 46%
Breast Lesions and Carcinomas
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.