TY - JOUR
T1 - Multi-institutional analysis of clinical and imaging risk factors for detecting clinically significant prostate cancer in men with PI-RADS 3 lesions
AU - Fang, Andrew M.
AU - Shumaker, Luke A.
AU - Martin, Kimberly D.
AU - Jackson, Jamaal C.
AU - Fan, Richard E.
AU - Khajir, Ghazal
AU - Patel, Hiten D.
AU - Soodana-Prakash, Nachiketh
AU - Vourganti, Srinivas
AU - Filson, Christopher P.
AU - Sonn, Geoffrey A.
AU - Sprenkle, Preston C.
AU - Gupta, Gopal N.
AU - Punnen, Sanoj
AU - Rais-Bahrami, Soroush
N1 - Funding Information:
This work was funded in part by a Junior Faculty Development Grant from the American Cancer Society (ACS‐IRG 001‐53) and by developmental funds from the University of Alabama at Birmingham Comprehensive Cancer Center Support Grant from the National Cancer Institute (P30 CA 013148; granted to Soroush Rais‐Bahrami). Christopher P. Filson's effort was supported by an American Cancer Society grant (MRSG‐18‐1‐CPHPS).
Publisher Copyright:
© 2022 American Cancer Society.
PY - 2022/9/15
Y1 - 2022/9/15
N2 - Background: Most Prostate Imaging–Reporting and Data System (PI-RADS) 3 lesions do not contain clinically significant prostate cancer (CSPCa; grade group ≥2). This study was aimed at identifying clinical and magnetic resonance imaging (MRI)–derived risk fac- tors that predict CSPCa in men with PI-RADS 3 lesions. Methods: This study analyzed the detection of CSPCa in men who underwent MRI-targeted biopsy for PI-RADS 3 lesions. Multivariable logistic regression models with goodness-of-fit testing were used to identify variables associated with CSPCa. Receiver operating curves and decision curve analyses were used to estimate the clinical utility of a predictive model. Results: Of the 1784 men reviewed, 1537 were included in the training cohort, and 247 were included in the validation cohort. The 309 men with CSPCa (17.3%) were older, had a higher prostate-specific antigen (PSA) density, and had a greater likelihood of an anteriorly located lesion than men without CSPCa (p <.01). Multivariable analysis revealed that PSA density (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.05–1.85; p <.01), age (OR, 1.05; 95% CI, 1.02–1.07; p <.01), and a biopsy-naive status (OR, 1.83; 95% CI, 1.38–2.44) were independently associated with CSPCa. A prior negative biopsy was negatively associated (OR, 0.35; 95% CI, 0.24–0.50; p <.01). The application of the model to the validation cohort resulted in an area under the curve of 0.78. A predicted risk threshold of 12% could have prevented 25% of biopsies while detecting almost 95% of CSPCas with a sensitivity of 94% and a specificity of 34%. Conclusions: For PI-RADS 3 lesions, an elevated PSA density, older age, and a biopsy-naive status were associated with CSPCa, whereas a prior negative biopsy was negatively associated. A predictive model could prevent PI-RADS 3 biopsies while missing few CSPCas. Lay summary: Among men with an equivocal lesion (Prostate Imaging–Reporting and Data System 3) on multiparametric magnetic resonance imaging (mpMRI), those who are older, those who have a higher prostate-specific antigen density, and those who have never had a biopsy before are at higher risk for having clinically significant prostate cancer (CSPCa) on subsequent biopsy. However, men with at least one negative biopsy have a lower risk of CSPCa. A new predictive model can greatly reduce the need to biopsy equivocal lesions noted on mpMRI while missing only a few cases of CSPCa.
AB - Background: Most Prostate Imaging–Reporting and Data System (PI-RADS) 3 lesions do not contain clinically significant prostate cancer (CSPCa; grade group ≥2). This study was aimed at identifying clinical and magnetic resonance imaging (MRI)–derived risk fac- tors that predict CSPCa in men with PI-RADS 3 lesions. Methods: This study analyzed the detection of CSPCa in men who underwent MRI-targeted biopsy for PI-RADS 3 lesions. Multivariable logistic regression models with goodness-of-fit testing were used to identify variables associated with CSPCa. Receiver operating curves and decision curve analyses were used to estimate the clinical utility of a predictive model. Results: Of the 1784 men reviewed, 1537 were included in the training cohort, and 247 were included in the validation cohort. The 309 men with CSPCa (17.3%) were older, had a higher prostate-specific antigen (PSA) density, and had a greater likelihood of an anteriorly located lesion than men without CSPCa (p <.01). Multivariable analysis revealed that PSA density (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.05–1.85; p <.01), age (OR, 1.05; 95% CI, 1.02–1.07; p <.01), and a biopsy-naive status (OR, 1.83; 95% CI, 1.38–2.44) were independently associated with CSPCa. A prior negative biopsy was negatively associated (OR, 0.35; 95% CI, 0.24–0.50; p <.01). The application of the model to the validation cohort resulted in an area under the curve of 0.78. A predicted risk threshold of 12% could have prevented 25% of biopsies while detecting almost 95% of CSPCas with a sensitivity of 94% and a specificity of 34%. Conclusions: For PI-RADS 3 lesions, an elevated PSA density, older age, and a biopsy-naive status were associated with CSPCa, whereas a prior negative biopsy was negatively associated. A predictive model could prevent PI-RADS 3 biopsies while missing few CSPCas. Lay summary: Among men with an equivocal lesion (Prostate Imaging–Reporting and Data System 3) on multiparametric magnetic resonance imaging (mpMRI), those who are older, those who have a higher prostate-specific antigen density, and those who have never had a biopsy before are at higher risk for having clinically significant prostate cancer (CSPCa) on subsequent biopsy. However, men with at least one negative biopsy have a lower risk of CSPCa. A new predictive model can greatly reduce the need to biopsy equivocal lesions noted on mpMRI while missing only a few cases of CSPCa.
KW - active surveillance
KW - cancer screening
KW - multiparametric magnetic resonance imaging
KW - prostatic adenocarcinoma
KW - risk calculator
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U2 - 10.1002/cncr.34355
DO - 10.1002/cncr.34355
M3 - Article
C2 - 35819253
AN - SCOPUS:85133937094
SN - 0008-543X
VL - 128
SP - 3287
EP - 3296
JO - Cancer
JF - Cancer
IS - 18
ER -