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Peter E. Lonergan, Emily A. Vertosick, Melissa Assel, Daniel D. Sjoberg, Alexander Haese, Markus Graefen, Stephen A. Boorjian, George G. Klee, Matthew R. Cooperberg, Kim Pettersson, Erica Routila, Andrew J. Vickers, Hans Lilja

About Peter E. Lonergan, Emily A. Vertosick, Melissa Assel, Daniel D. Sjoberg, Alexander Haese, Markus Graefen, Stephen A. Boorjian, George G. Klee, Matthew R. Cooperberg, Kim Pettersson, Erica Routila, Andrew J. Vickers, Hans Lilja

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Entries by Peter E. Lonergan, Emily A. Vertosick, Melissa Assel, Daniel D. Sjoberg, Alexander Haese, Markus Graefen, Stephen A. Boorjian, George G. Klee, Matthew R. Cooperberg, Kim Pettersson, Erica Routila, Andrew J. Vickers, Hans Lilja

Prospective validation of microseminoprotein‐β added to the 4Kscore in predicting high‐grade prostate cancer in an international multi‐center cohort

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Abstract Objectives To prospectively evaluate the performance of a prespecified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2[hK2]), commercially available as the 4Kscore, in predicting Gleason grade group (GG) ≥2 prostate cancer at biopsy in an international multi‐center study at three […]

Long‐term oncological outcomes of the Agarwal loop ligation technique for management of the distal ureter during laparoscopic radical nephroureterectomy

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Abstract Objectives To prospectively evaluate the performance of a prespecified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2[hK2]), commercially available as the 4Kscore, in predicting Gleason grade group (GG) ≥2 prostate cancer at biopsy in an international multi‐center study at three […]

Multiparametric magnetic resonance imaging facilitates reclassification during active surveillance for prostate cancer

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Abstract Objectives To prospectively evaluate the performance of a prespecified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2[hK2]), commercially available as the 4Kscore, in predicting Gleason grade group (GG) ≥2 prostate cancer at biopsy in an international multi‐center study at three […]

Estimating the health‐related quality of life of kidney stone patients: initial results from the Wisconsin Stone Quality of Life Machine‐Learning Algorithm (WISQOL‐MLA)

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Abstract Objectives To prospectively evaluate the performance of a prespecified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2[hK2]), commercially available as the 4Kscore, in predicting Gleason grade group (GG) ≥2 prostate cancer at biopsy in an international multi‐center study at three […]

The obesity paradox: defining the impact of body mass index and diabetes mellitus for patients with non‐muscle‐invasive bladder cancer treated with bacillus Calmette–Guérin

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Abstract Objectives To prospectively evaluate the performance of a prespecified statistical model based on four kallikrein markers in blood (total prostate‐specific antigen [PSA], free PSA, intact PSA, and human kallikrein‐related peptidase 2[hK2]), commercially available as the 4Kscore, in predicting Gleason grade group (GG) ≥2 prostate cancer at biopsy in an international multi‐center study at three […]

Longitudinal evaluation of frequency of patients taking part in sexual intercourse and sexual activity after undergoing robot‐assisted laparoscopic radical prostatectomy

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Objective To build the Wisconsin Stone Quality of Life Machine‐Learning Algorithm (WISQOL‐MLA) to predict urolithiasis patients’ health‐related quality of life (HRQoL) based on demographic, symptomatic and clinical data collected for the validation of the Wisconsin Stone Quality‐of‐Life (WISQOL) questionnaire, an HRQoL measurement tool designed specifically for patients with kidney stones. Material and Methods We used […]

Patient‐reported outcomes after buccal mucosal graft urethroplasty for bulbar urethral strictures: results of a prospective single‐centre cohort study

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Objectives To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI). Patients and Methods We used data of 3791 patients to develop and validate the risk calculator. We initially divided the data into development and validation sets. An extreme gradient‐boosting algorithm was applied to […]

‘Case of the Month’ from Tenon Hospital, Paris, France: tricky management of a large lower pole stone

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Objectives To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI). Patients and Methods We used data of 3791 patients to develop and validate the risk calculator. We initially divided the data into development and validation sets. An extreme gradient‐boosting algorithm was applied to […]

A strategic vision for BAUS

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Objectives To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI). Patients and Methods We used data of 3791 patients to develop and validate the risk calculator. We initially divided the data into development and validation sets. An extreme gradient‐boosting algorithm was applied to […]

Robot‐assisted laparoscopic artificial urinary sphincter insertion in women with stress urinary incontinence: a pilot single‐centre study

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Objectives To develop and validate a risk calculator for prostate cancer (PCa) and clinically significant PCa (csPCa) using explainable artificial intelligence (XAI). Patients and Methods We used data of 3791 patients to develop and validate the risk calculator. We initially divided the data into development and validation sets. An extreme gradient‐boosting algorithm was applied to […]

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