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Cost-Effectiveness Analysis of the Clear Cell Likelihood Score Against Renal Mass Biopsy for Evaluating Small Renal Masses.
Chen, Katherina Y; Lange, Moritz J; Qiu, Jessica X; Lambert, Drew; Mithqal, Ayman; Krupski, Tracey L; Schenkman, Noah S; Lobo, Jennifer M.
Afiliación
  • Chen KY; Department of Urology, University of Virginia, Charlottesville, VA.
  • Lange MJ; University of Virginia School of Medicine, Charlottesville, VA.
  • Qiu JX; University of Virginia School of Medicine, Charlottesville, VA.
  • Lambert D; Department of Radiology and Medical Imaging, Charlottesville, VA.
  • Mithqal A; Department of Radiology and Medical Imaging, Charlottesville, VA.
  • Krupski TL; Department of Urology, University of Virginia, Charlottesville, VA.
  • Schenkman NS; Department of Urology, University of Virginia, Charlottesville, VA.
  • Lobo JM; Department of Urology, University of Virginia, Charlottesville, VA; Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA. Electronic address: jenn.lobo@virginia.edu.
Urology ; 188: 111-117, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38648945
ABSTRACT

OBJECTIVE:

To examine the cost-effectiveness of the clear cell likelihood score compared to renal mass biopsy (RMB) alone.

METHODS:

The clear cell likelihood score, a new grading system based on multiparametric magnetic resonance imaging, has been proposed as a possible alternative to percutaneous RMB for identifying clear cell renal carcinoma in small renal masses and expediting treatment of high-risk patients. A decision analysis model was developed to compare a RMB strategy where all patients undergo biopsy and a clear cell likelihood score strategy where only patients that received an indeterminant score of 3 undergo biopsy. Effectiveness was assigned 1 for correct diagnoses and 0 for incorrect or indeterminant diagnoses. Costs were obtained from institutional fees and Medicare reimbursement rates. Probabilities were derived from literature estimates from radiologists trained in the clear cell likelihood score.

RESULTS:

In the base case model, the clear cell likelihood score was both more effective (0.77 vs 0.70) and less expensive than RMB ($1629 vs $1966). Sensitivity analysis found that the nondiagnostic rate of RMB and the sensitivity of the clear cell likelihood score had the greatest impact on the model. In threshold analyses, the clear cell likelihood score was the preferred strategy when its sensitivity was greater than 62.7% and when an MRI cost less than $5332.

CONCLUSION:

The clear cell likelihood score is a more cost-effective option than RMB alone for evaluating small renal masses for clear cell renal carcinoma.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Células Renales / Neoplasias Renales Límite: Humans Idioma: En Revista: Urology Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Células Renales / Neoplasias Renales Límite: Humans Idioma: En Revista: Urology Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos