1. Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence in situ hybridization
- Author
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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, and Houldsworth, Jane
- Subjects
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 - Abstract
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 (
- Published
- 2014