Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
| Autor: | Gowrishankar, Banumathy, Cahill, Lynnette, Arndt, Alexandra E., Al‐Ahmadie, Hikmat, Lin, Oscar, Chadalavada, Kalyani, Chaganti, Seeta, Nanjangud, Gouri J., Vundavalli, Murty V., Chaganti, Raju, Reuter, Victor, Houldsworth, Jane |
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| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Chromosome Aberrations
Male renal cell carcinoma algorithm Urological Oncology Biopsy Fine-Needle Decision Trees Needle biopsy Genomics oncocytoma fine needle aspiration biopsies Kidney Neoplasms classification Humans Female Diagnosis Computer-Assisted fluorescence in situ hybridization In Situ Hybridization Fluorescence |
| Zdroj: | Bju International |
| ISSN: | 1464-410X 1464-4096 |
| Popis: | Objectives: To improve the overall accuracy of diagnosis in needle biopsies of renal masses, especially small renal masses (SRMs), using fluorescence in situ hybridization (FISH), and to develop a renal cortical neoplasm classification decision tree based on genomic alterations detected by FISH. Patients and Methods: Ex vivo fine needle aspiration biopsies of 122 resected renal cortical neoplasms were subjected to FISH using a series of seven-probe sets to assess gain or loss of 10 chromosomes and rearrangement of the 11q13 locus. Using specimen (nephrectomy)-histology as the ‘gold standard’, a genomic aberration-based decision tree was generated to classify specimens. The diagnostic potential of the decision tree was assessed by comparing the FISH-based classification and biopsy histology with specimen histology. Results: Of the 114 biopsies diagnostic by either method, a higher diagnostic yield was achieved by FISH (92 and 96%) than histology alone (82 and 84%) in the 65 biopsies from SRMs ( |
| Databáze: | OpenAIRE |
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