Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins

SRH demonstrates potential as a valuable tool for real-time intraoperative assessment of surgical margins during RALP. This technique may improve nerve-sparing surgery and facilitate decision-making for further resection, reducing the risk of positive surgical margins and minimizing the risk of recurrence. Further studies with larger cohorts and longer follow-up periods are warranted to confirm the benefits of SRH in RALP.

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Publication Details

Journal
The Journal of Urology
Published
2025-04-09
DOI
https://doi.org/10.1097/ju.0000000000004393
Citations
6
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
9.80
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article

Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins

Christian W. Freudiger, Jonathan Melamed, Feng Deng, James Steven Wysock et al.
6 citations
The Journal of Urology
Spectroscopy Techniques in Biomedical and Chemical Research
9.80
article

Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins

Christian W. Freudiger, Jonathan Melamed, Feng Deng, James Steven Wysock, Adrian Ion‐Mărgineanu, Lea Lough, Miles P. Mannas, William C. Huang, Samir S. Taneja, Daniel A. Orringer, Steve Pastore, Deepthi Hoskoppal, Weiwei Huang, Derek Jones
article en
6 citations

Abstract

SRH demonstrates potential as a valuable tool for real-time intraoperative assessment of surgical margins during RALP. This technique may improve nerve-sparing surgery and facilitate decision-making for further resection, reducing the risk of positive surgical margins and minimizing the risk of recurrence. Further studies with larger cohorts and longer follow-up periods are warranted to confirm the benefits of SRH in RALP.

The Journal of UrologyVol. 213(5)
University of British Columbia (CA), NYU Langone Health (US), Invenio Imaging (United States) (US)
Openalex Percentile: Top 2%
Spectroscopy Techniques in Biomedical and Chemical Research
9.80
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