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Diagnostic accuracy of the Clear Cell Likelihood Score and selected MRI parameters in the characterization of indeterminate renal masses - a single-institution study.

Tomasz BlachuraPatrycja S MatusikAleksander KowalJulia RadzikowskaJarosław D JarczewskiŁukasz SkibaTadeusz J PopielaRobert Chrzan
Published in: Abdominal radiology (New York) (2024)
The ccLS algorithm offers an encouraging method for the standardization of imaging protocols to aid in the diagnosis and management of SRMs in daily clinical practice by enhancing detectability of ccRCC and reducing the number of unnecessary invasive procedures for benign or indolent lesions. However, its diagnostic performance needs multi-center large cohort studies to validate it before it can be incorporated as a diagnostic algorithm and will guide future iterations of clinical guidelines. The retrospective nature of our study and small patient population confined to a single clinical center may impact the generalizability of the results; thus, future studies are required to define whether employment of the T1 ratio or ADER parameter may strengthen the diagnostic accuracy of ccRCC diagnosis.
Keyphrases
  • clinical practice
  • machine learning
  • deep learning
  • magnetic resonance imaging
  • contrast enhanced
  • current status
  • computed tomography
  • mass spectrometry
  • case report
  • magnetic resonance
  • clear cell