Mechanosensitive TRPV4 immunohistochemistry improves deep learning-based classification of ductal carcinoma in situ beyond H&E morphology.
Overview
- Department of Physics and Astronomy, College of Natural Sciences, Seoul National University, Seoul, South Korea
- Department of Anatomy and Cell Biology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
- Thomas Jefferson Science and Technology High School, Alexandria, VA, USA
- Department of Pathology, School of Medicine and Health Sciences, George Washington University, Washington, DC, USA
- Department of Biomedical Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC, USA
Abstract
Ductal carcinoma in situ (DCIS) spans a biologic continuum from atypical ductal hyperplasia (ADH) to high‐grade lesions with variable risk of progression to invasive ductal carcinoma (IDC), yet morphologic assessment by hematoxylin and eosin (H&
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data availability statement
De‐identified data and analysis code will be provided by the corresponding author upon reasonable request, subject to institutional policies and data use agreements.
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Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 9 authors, 10 keywords, 9 MeSH terms, 5 funders, 35 references, 2 RRIDs.
Cite
This paper
Yoo, J., Karthikeyan, R., Kamat, K., Chan, C., Samankan, S., Arbzadeh, E., Schwartz, A., Latham, P. S., & Chung, I. (2026). Mechanosensitive TRPV4 immunohistochemistry improves deep learning-based classification of ductal carcinoma in situ beyond H&
BibTeX
@article{yoo2026mechanos
author = {Yoo, Janghyun and Karthikeyan, Raghav and Kamat, Kashi and Chan, Christopher and Samankan, Shabnam and Arbzadeh, Elham and Schwartz, Arnold and Latham, Patricia S and Chung, Inhee},
title = {{Mechanosensitive TRPV4 immunohistochemistry improves deep learning-based classification of ductal carcinoma in situ beyond H\&
journal = {The journal of pathology. Clinical research},
year = {2026},
month = jul,
volume = {12},
number = {4},
pages = {e70106},
publisher = {Wiley},
issn = {2056-4538},
doi = {10.1002/
url = {https://
pmid = {42417209},
pmcid = {PMC13343292}
}
RIS
TY - JOUR
AU - Yoo, Janghyun
AU - Karthikeyan, Raghav
AU - Kamat, Kashi
AU - Chan, Christopher
AU - Samankan, Shabnam
AU - Arbzadeh, Elham
AU - Schwartz, Arnold
AU - Latham, Patricia S
AU - Chung, Inhee
TI - Mechanosensitive TRPV4 immunohistochemistry improves deep learning-based classification of ductal carcinoma in situ beyond H&
T2 - The journal of pathology. Clinical research
J2 - J Pathol Clin Res
PY - 2026
DA - 2026/
VL - 12
IS - 4
SP - e70106
SN - 2056-4538
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
{
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"title": "Mechanosensitive TRPV4 immunohistochemistry improves deep learning-based classification of ductal carcinoma in situ beyond H&
"container-title": "The journal of pathology. Clinical research",
"author": [
{
"family": "Yoo",
"given": "Janghyun"
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{
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{
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{
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"given": "Shabnam"
},
{
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"given": "Elham"
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{
"family": "Schwartz",
"given": "Arnold"
},
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"family": "Latham",
"given": "Patricia S"
},
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"container-title-short":
"volume": "12",
"issue": "4",
"page": "e70106",
"DOI": "10.1002/
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"PMCID": "PMC13343292",
"ISSN": "2056-4538",
"publisher": "Wiley",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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}
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