TY - JOUR
T1 - Development and validation of nomogram to improve the specificity of multiparametric MRI for clinically significant prostate cancer
AU - Shiekh, Mohsin
AU - Houenstein, Holly
AU - Ramahi, Yousuf O.
AU - Shabir, Usma
AU - Ghadersohi, Sarah
AU - Zhu, Denzel
AU - Zhu, Michael
AU - Jing, Zhe
AU - Attwood, Kristopher
AU - Kauffman, Eric
AU - Aboumohamed, Ahmed
AU - Guru, Khurshid
AU - Hussein, Ahmed A.
N1 - Publisher Copyright:
© 2023 The Japanese Urological Association.
PY - 2023/10
Y1 - 2023/10
N2 - Objective: To develop and validate a nomogram to improve the specificity of prostate imaging reporting and data system (PI-RADS) on multiparametric magnetic resonance imaging (MRI) for clinically significant prostate cancer on targeted fusion biopsy. Methods: A retrospective review of patients who underwent fusion biopsy for PI-RADS 3–5 lesions using UroNav and Artemis systems between 2016 and 2022 was performed. Patients were divided into those with CS disease on fusion biopsy (Gleason grade group ≥2) versus those without. Multivariable analysis was used to identify variables associated with CS disease. A 100-point nomogram was constructed, and ROC curve was generated. Results: 1485 lesions (1032 patients) were identified, 510 (34%) were PI-RADS 3, 586 (40%) were PI-RADS 4, and 389 (26%) were PI-RADS 5. Of these, 11% of PI-RADS 3, 39% of PI-RADS 4, and 61% of PI-RADS 5 showed CS disease. CS disease was associated with older age (OR 1.04, 95% CI 1.02–1.06, p < 0.01), previous negative biopsy (OR 0.52, 95% CI 0.36–0.74, p < 0.01), presence of multiple PI-RADS 3–5 lesions (OR 0.61, 95% CI 0.45–0.83, p < 0.01), peripheral zone location (OR 1.88, 95% CI 1.30–2.70, p < 0.01), PSA density (OR 1.48 per 0.1 unit, 95% CI 1.33–1.64, p < 0.01), PI-RADS score 4 (OR 3.28, 95% CI 2.21–4.87, p < 0.01), and PI-RADS score 5 (OR 7.65, 95% CI 4.93–11.85, p < 0.01). Area under ROC curve was 82% for nomogram compared to 75% for PI-RADS score alone. Conclusion: We report a nomogram that combines PI-RADS score with other clinical parameters. The nomogram outperforms PI-RADS score for the detection of CS prostate cancer.
AB - Objective: To develop and validate a nomogram to improve the specificity of prostate imaging reporting and data system (PI-RADS) on multiparametric magnetic resonance imaging (MRI) for clinically significant prostate cancer on targeted fusion biopsy. Methods: A retrospective review of patients who underwent fusion biopsy for PI-RADS 3–5 lesions using UroNav and Artemis systems between 2016 and 2022 was performed. Patients were divided into those with CS disease on fusion biopsy (Gleason grade group ≥2) versus those without. Multivariable analysis was used to identify variables associated with CS disease. A 100-point nomogram was constructed, and ROC curve was generated. Results: 1485 lesions (1032 patients) were identified, 510 (34%) were PI-RADS 3, 586 (40%) were PI-RADS 4, and 389 (26%) were PI-RADS 5. Of these, 11% of PI-RADS 3, 39% of PI-RADS 4, and 61% of PI-RADS 5 showed CS disease. CS disease was associated with older age (OR 1.04, 95% CI 1.02–1.06, p < 0.01), previous negative biopsy (OR 0.52, 95% CI 0.36–0.74, p < 0.01), presence of multiple PI-RADS 3–5 lesions (OR 0.61, 95% CI 0.45–0.83, p < 0.01), peripheral zone location (OR 1.88, 95% CI 1.30–2.70, p < 0.01), PSA density (OR 1.48 per 0.1 unit, 95% CI 1.33–1.64, p < 0.01), PI-RADS score 4 (OR 3.28, 95% CI 2.21–4.87, p < 0.01), and PI-RADS score 5 (OR 7.65, 95% CI 4.93–11.85, p < 0.01). Area under ROC curve was 82% for nomogram compared to 75% for PI-RADS score alone. Conclusion: We report a nomogram that combines PI-RADS score with other clinical parameters. The nomogram outperforms PI-RADS score for the detection of CS prostate cancer.
KW - MRI-TRUS-targeted biopsy
KW - PI-RADS
KW - fusion biopsy
KW - nomogram
KW - prostate cancer
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U2 - 10.1111/iju.15225
DO - 10.1111/iju.15225
M3 - Article
C2 - 37329258
AN - SCOPUS:85162190595
SN - 0919-8172
VL - 30
SP - 876
EP - 882
JO - International Journal of Urology
JF - International Journal of Urology
IS - 10
ER -