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Nonlinear microscopy for detection of prostate cancer: analysis of sensitivity and specificity in radical prostatectomies.
Cahill, Lucas C; Wu, Yubo; Yoshitake, Tadayuki; Ponchiardi, Cecilia; Giacomelli, Michael G; Wagner, Andrew A; Rosen, Seymour; Fujimoto, James G.
Afiliación
  • Cahill LC; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School and Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Wu Y; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Yoshitake T; Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Ponchiardi C; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Giacomelli MG; Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Wagner AA; Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Rosen S; Department of Surgery, Division of Urology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
  • Fujimoto JG; Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Mod Pathol ; 33(5): 916-923, 2020 05.
Article en En | MEDLINE | ID: mdl-31745288
ABSTRACT
Intraoperative evaluation of specimens during radical prostatectomy using frozen sections can be time and labor intensive. Nonlinear microscopy (NLM) is a fluorescence microscopy technique that can rapidly generate images that closely resemble H&E histology in freshly excised tissue, without requiring freezing or microtome sectioning. Specimens are stained with nuclear and cytoplasmic/stromal fluorophores, and NLM evaluation can begin within 3 min of grossing. Fluorescence signals can be displayed using an H&E color scale, facilitating pathologist interpretation. This study evaluates the accuracy of prostate cancer detection in a blinded reading of NLM images compared with the gold standard of formalin-fixed, paraffin-embedded H&E histology. A total of 122 freshly excised prostate specimens were obtained from 40 patients undergoing radical prostatectomy. The prostates were grossed, dissected into specimens of ~10 × 10 mm with 1-4 mm thickness, stained for 2 min for nuclear and cytoplasmic/stromal contrast, and then rinsed with saline for 30 s. NLM images were acquired and multiple images were stitched together to generate large field of view, centimeter-scale digital images suitable for reading. Specimens were then processed for standard paraffin H&E. The study protocol consisted of training, pretesting, and blinded reading phases. After a washout period, pathologists read corresponding paraffin H&E slides. Three pathologists achieved a 95% or greater sensitivity with 100% specificity for detecting cancer on NLM compared with paraffin H&E. Pooled sensitivity and specificity was 97.3% (93.7-99.1%; 95% confidence interval) and 100.0% (97.0-100.0%), respectively. Interobserver agreement for NLM reading had a Fleiss κ = 0.95. The high cancer detection accuracy and rapid specimen preparation suggest that NLM may be useful for intraoperative evaluation in radical prostatectomy.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Microscopía Fluorescente Tipo de estudio: Diagnostic_studies Límite: Humans / Male Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Microscopía Fluorescente Tipo de estudio: Diagnostic_studies Límite: Humans / Male Idioma: En Revista: Mod Pathol Asunto de la revista: PATOLOGIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos