Contrast-Enhanced CT Density Predicts Response to Sunitinib Therapy in Metastatic Renal Cell Carcinoma Patients

Simon Matoori1, Yeeliang Thian2, Dow-Mu Koh2

  • 1Department of Radiology, Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, United Kingdom; Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland; Clinical Research Group, Hirslanden Clinic St. Anna, St. Anna-Strasse 32, 6006 Luzern, Switzerland.

Insights

Predicting sunitinib response in metastatic renal cell carcinoma (mRCC) is crucial. Higher pretreatment computed tomography tumor density indicates better progression-free survival and overall survival for mRCC patients treated with sunitinib.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Sunitinib is a first-line therapy for metastatic renal cell carcinoma (mRCC) with a ~30% objective response rate.
  • Predicting patient response to sunitinib is essential due to therapeutic alternatives.
  • There is a clinical need for noninvasive methods to predict sunitinib efficacy in mRCC.

Purpose of the Study:

  • To evaluate the prognostic value of pretreatment portal venous phase contrast-enhanced computed tomography (CECT) mean tumor density.
  • To assess the association between CECT tumor density and overall survival (OS), progression-free survival (PFS), and tumor growth in mRCC patients treated with sunitinib.
  • To identify potential CECT density cut-off values for predicting patient outcomes.

Main Methods:

  • Retrospective analysis of 63 sunitinib-treated mRCC patients.
  • Measurement of pretreatment portal venous phase CECT mean tumor density.
  • Statistical analysis including hazard ratios (HR) for OS and PFS, correlation with tumor growth, and receiver operating characteristic (ROC) analysis for cut-off values.

Main Results:

  • Higher pretreatment CECT tumor density was significantly associated with longer PFS (HR=0.968, P=.002) and OS (HR=0.956, P=.001).
  • CECT density showed an inverse correlation with tumor growth (P=.010).
  • ROC analysis identified two CECT density cut-off values (63.67 HU and 68.67 HU) that defined subpopulations with significantly different PFS and OS (P<.001).

Conclusions:

  • Pretreatment CECT mean tumor density is a promising noninvasive prognostic marker for sunitinib response in mRCC.
  • CECT density can help identify patients likely to derive maximum therapeutic benefit from sunitinib.
  • This imaging strategy aids in personalized treatment selection for mRCC patients.

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