دورية أكاديمية
Stimulated Raman histology as a method to determine the adequacy of renal mass biopsy and identify malignant subtypes of renal cell carcinoma.
| العنوان: | Stimulated Raman histology as a method to determine the adequacy of renal mass biopsy and identify malignant subtypes of renal cell carcinoma. |
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| المؤلفون: | Mannas MP; Department of Urology, NYU Langone Health, New York, NY; Department of Urologic Sciences, University of British Columbia, Vancouver Prostate Centre, Vancouver, British Columbia, Canada. Electronic address: mmannas@mail.ubc.ca., Deng FM; Department of Pathology, NYU Langone Health, New York, NY., Belanger EC; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada., Jones D; Department of Pathology, NYU Langone Health, New York, NY., Ren J; Department of Pathology, NYU Langone Health, New York, NY., Huang W; Department of Urology, NYU Langone Health, New York, NY., Orringer DA; Department of Pathology, NYU Langone Health, New York, NY; Department of Neurosurgery, NYU Langone Health, New York, NY., Taneja SS; Department of Urology, NYU Langone Health, New York, NY; Department of Radiology, NYU Langone Health, New York, NY; Department of Biomedical Engineering, NYU Langone Health, New York, NY. |
| المصدر: | Urologic oncology [Urol Oncol] 2023 Jul; Vol. 41 (7), pp. 328.e9-328.e13. Date of Electronic Publication: 2023 May 23. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 9805460 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2496 (Electronic) Linking ISSN: 10781439 NLM ISO Abbreviation: Urol Oncol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2003- : Philadelphia, PA : Elsevier Original Publication: New York, NY : Elsevier Science, |
| مواضيع طبية MeSH: | Carcinoma, Renal Cell*/diagnosis , Carcinoma, Renal Cell*/surgery , Carcinoma, Renal Cell*/pathology , Kidney Neoplasms*/diagnosis , Kidney Neoplasms*/surgery , Kidney Neoplasms*/pathology, Humans ; Eosine Yellowish-(YS) ; Hematoxylin ; Biopsy/methods ; Nephrectomy/methods ; Biopsy, Large-Core Needle |
| مستخلص: | Introduction: Renal tumor biopsy requires adequate tissue sampling to aid in the investigation of small renal masses. In some centers the contemporary nondiagnostic renal mass biopsy rate may be as high as 22% and may be as high as 42% in challenging cases. Stimulated Raman Histology (SRH) is a novel microscopic technique which has created the possibility for rapid, label-free, high-resolution images of unprocessed tissue which may be viewed on standard radiology viewing platforms. The application of SRH to renal biopsy may provide the benefits of routine pathologic evaluation during the procedure, thereby reducing nondiagnostic results. We conducted a pilot feasibility study, to assess if renal cell carcinoma (RCC) subtypes may be imaged and to see if high-quality hematoxylin and eosin (H&E) could subsequently be generated. Methods/materials: An 18-gauge core needle biopsy was taken from a series of 25 ex vivo radical or partial nephrectomy specimens. Histologic images of the fresh, unstained biopsy samples were obtained using a SRH microscope using 2 Raman shifts: 2,845 cm -1 and 2,930 cm -1 . The cores were then processed as per routine pathologic protocols. The SRH images and hematoxylin and eosin (H&E) slides were then viewed by a genitourinary pathologist. Results: The SRH microscope took 8 to 11 minutes to produce high-quality images of the renal biopsies. Total of 25 renal tumors including 1 oncocytoma, 3 chromophobe RCC, 16 clear cells RCC, 4 papillary RCC, and 1 medullary RCC were included. All renal tumor subtypes were captured, and the SRH images were easily differentiated from adjacent normal renal parenchyma. High quality H&E slides were produced from each of the renal biopsies after SRH was completed. Immunostains were performed on selected cases and the staining was not affected by the SRH image process. Conclusion: SRH produces high quality images of all renal cell subtypes that can be rapidly produced and easily interpreted to determine renal mass biopsy adequacy, and on occasion, may allow renal tumor subtype identification. Renal biopsies remained available to produce high quality H&E slides and immunostains for confirmation of diagnosis. Procedural application has promise to decrease the known rate of renal mass nondiagnostic biopsies, and application of convolutional neural network methodology may further improve diagnostic capability and increase utilization of renal mass biopsy among urologists. (Copyright © 2023 Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Kidney cancer; Raman spectroscopy; Renal mass biopsy |
| المشرفين على المادة: | TDQ283MPCW (Eosine Yellowish-(YS)) YKM8PY2Z55 (Hematoxylin) |
| تواريخ الأحداث: | Date Created: 20230524 Date Completed: 20230619 Latest Revision: 20231117 |
| رمز التحديث: | 20240829 |
| DOI: | 10.1016/j.urolonc.2023.04.008 |
| PMID: | 37225634 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1873-2496 |
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| DOI: | 10.1016/j.urolonc.2023.04.008 |