English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

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  (<4 cm) and 49 from larger masses, respectively. An optimized decision tree was constructed based on aberrations detected in eight chromosomes, by which the maximum concordance of classification achieved by  FISH  was 79%, irrespective of mass size. In  SRMs , the overall sensitivity of diagnosis by  FISH  compared with histopathology was higher for benign oncocytoma, was similar for the chromophobe renal cell carcinoma subtype, and was lower for clear‐cell and papillary subtypes. The diagnostic accuracy of classification of needle biopsy specimens (from  SRMs ) increased from 80% obtained by histology alone to 94% when combining histology and  FISH .    Conclusion  The present study suggests that a novel  FISH  assay developed by us has a role to play in assisting in the yield and accuracy of diagnosis of renal cortical neoplasms in needle biopsies in particular, and can help guide the clinical management of patients with  SRMs  that were non‐diagnostic by histology.

bju international

Subtyping of renal cortical neoplasms in fine needle aspiration biopsies using a decision tree based on genomic alterations detected by fluorescence  in situ  hybridization