| leibovich_2018_rcc | R Documentation |
Calculates the 2018 update to the Leibovich prognostic score for non-metastatic clear cell renal cell carcinoma (ccRCC). This model predicts progression-free survival (metastasis-free) and cancer-specific survival based on pathologic stages, tumor size, nuclear grade, and histologic necrosis.
The scoring stratifies patients into Low Risk (0-2 points), Intermediate Risk (3-5 points), and High Risk (>= 6 points).
leibovich_2018_rcc(t_stage, n_stage, tumor_size_cm, nuclear_grade, necrosis)
t_stage |
String. Pathologic T stage. Accepted values: "1a", "1b", "2a", "2b", "3a", "3b", "3c", "4". (Prefixes "p" or "T" are stripped automatically). |
n_stage |
String. Pathologic N stage. Accepted values: "Nx", "N0", "N1". (Prefixes "p" or "N" are stripped automatically). |
tumor_size_cm |
Numeric. Tumor size in centimeters. |
nuclear_grade |
Numeric. Fuhrman or ISUP nuclear grade (1, 2, 3, or 4). |
necrosis |
Numeric (0 or 1). Presence of histologic tumor necrosis. 0 = No, 1 = Yes. |
A list containing the calculated Score, the associated Risk Group, and lists for Progression/Metastasis-Free Survival and Cancer-Specific Survival probabilities at 1, 3, 5, and 10 years.
Leibovich BC, Lohse CM, Cheville JC, et al. Predicting Oncologic Outcomes in Renal Cell Carcinoma After Surgery. Eur Urol. 2018;73(5):772-780. doi:10.1016/j.eururo.2018.01.005
# Example 1: High Risk Patient
# pT3a, N0, 11cm tumor, Grade 4, with Necrosis
leibovich_2018_rcc("3a", "N0", 11, 4, 1)
# Example 2: Low Risk Patient
# pT1a, Nx, 4cm tumor, Grade 2, No Necrosis
leibovich_2018_rcc("T1a", "Nx", 4, 2, 0)
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