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Intraoperative margin assessment with near real time pathology during partial gland ablation of prostate cancer: A feasibility study.
Mannas, Miles P; Deng, Fang-Ming; Ion-Margineanu, Adrian; Freudiger, Christian; Jones, Derek; Hoskoppal, Deepthi; Melamed, Jonathan; Wysock, James; Orringer, Daniel A; Taneja, Samir S.
Afiliación
  • Mannas MP; Dept. of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada; Vancouver Prostate Centre, University of British Columbia, Vancouver, British Columbia, Canada; Dept. of Urology, NYU Langone Health, New York, NY. Electronic address: mmannas@mail.ubc.ca.
  • Deng FM; Dept. of Pathology, NYU Langone Health, New York, NY.
  • Ion-Margineanu A; Invenio Imaging, Santa Clara, CA.
  • Freudiger C; Invenio Imaging, Santa Clara, CA.
  • Jones D; Dept. of Pathology, NYU Langone Health, New York, NY.
  • Hoskoppal D; Dept. of Pathology, NYU Langone Health, New York, NY.
  • Melamed J; Dept. of Pathology, NYU Langone Health, New York, NY.
  • Wysock J; Dept. of Urology, NYU Langone Health, New York, NY.
  • Orringer DA; Dept. of Neurosurgery, NYU Langone Health, New York, NY.
  • Taneja SS; Dept. of Urology, NYU Langone Health, New York, NY; Dept. of Radiology, NYU Langone Health, New York, NY; Dept. of Biomedical Engineering, NYU Langone Health, New York, NY.
Urol Oncol ; 2024 Aug 10.
Article en En | MEDLINE | ID: mdl-39129081
ABSTRACT

BACKGROUND:

In-field or in-margin recurrence after partial gland cryosurgical ablation (PGCA) of prostate cancer (PCa) remains a limitation of the paradigm. Stimulated Raman histology (SRH) is a novel microscopic technique allowing real time, label-free, high-resolution microscopic images of unprocessed, un-sectioned tissue which can be interpreted by humans or artificial intelligence (AI). We evaluated surgical team and AI interpretation of SRH for real-time pathologic feedback in the planning and treatment of PCa with PGCA.

METHODS:

About 12 participants underwent prostate mapping biopsies during PGCA of their PCa between January and June 2022. Prostate biopsies were immediately scanned in a SRH microscope at 20 microns depth using 2 Raman shifts to create SRH images which were interpreted by the surgical team intraoperatively to guide PGCA, and retrospectively assessed by AI. The cores were then processed, hematoxylin and eosin stained as per normal pathologic protocols and used for ground truth pathologic assessment.

RESULTS:

Surgical team interpretation of SRH intraoperatively revealed 98.1% accuracy, 100% sensitivity, 97.3% specificity for identification of PCa, while AI showed a 97.9% accuracy, 100% sensitivity and 97.5% specificity for identification of clinically significant PCa. 3 participants' PGCA treatments were modified after SRH visualized PCa adjacent to an expected MRI predicted tumor margin or at an untreated cryosurgical margin.

CONCLUSION:

SRH allows for accurate rapid identification of PCa in PB by a surgical team interpretation or AI. PCa tumor mapping and margin assessment during PGCA appears to be feasible and accurate. Further studies evaluating impact on clinical outcomes are warranted.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Urol Oncol Asunto de la revista: NEOPLASIAS / UROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Urol Oncol Asunto de la revista: NEOPLASIAS / UROLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos