Background and Objectives: Multiparametric MRI (mpMRI) has improved the detection of clinically significant prostate cancer (csPCa). However, the diagnostic utility of mpMRI is heavily dependent on image quality, which is often inconsistent across clinical settings. We investigated the association between mpMRI quality...
Donald C. Wunsch, O. Esengur, R. Makwana et al.· European Journal of Radiolog...· 0 citations
Biochemical recurrence (BCR) following radical prostatectomy (RP) occurs in 20%–40% of patients with localized prostate cancer. Neoadjuvant PROSTVAC has been shown to enhance T‐cell infiltration into the tumor immune microenvironment, but whether these immunologic changes translate into improved long‐term oncologic out...
B. Millan, Alexander P. Kenigsberg, Charles Hesswani et al.· The Prostate· 0 citations
BACKGROUND
Management of men with equivocal MRI findings remains uncertain, while low-risk MRI may still harbor clinically significant prostate cancer (csPCa). We examined whether prostate-specific antigen (PSA)-based measures could identify a low-risk subgroup suitable for biopsy deferral in patients with Prostate Ima...
O. Esengur, S. Harmon, Emma J. Stevenson et al.· The Prostate· 0 citations
PURPOSE
The purpose of this study was to evaluate expert radiologists' perceptions of the quality of magnetic resonance imaging (MRI) of the prostate for images that underwent controlled degradation.
MATERIALS AND METHODS
Seven-levels of controlled degradations were applied to 10 single-slice image sets, with T2-weig...
Kang-Lung Lee, Jobie Budd, Shu-Huei Shen et al.· Diagnostic and Interventiona...· 0 citations
A deep learning model that leverages interpretable cellular features to improve feature extraction from H&E-stained tissue sections (NEURAL-PC) and represents an extensively validated diagnostic and prognostic model for advanced prostate cancer.
Zhi-Jun Chen, Erolcan Sayar, D. Guevara et al.· JCI Insight· 0 citations
In this article, we assess histologically validated quantitative parameters on 18F-piflufolastat (18F-DCFPyL) prostate-specific membrane antigen (PSMA) PET and identify thresholds for differentiating malignant prostate cancer from benign tissue. Methods: In this multicenter retrospective study, men with prostate cancer...
L. Lindenberg, Erich P. Huang, G. Ulaner et al.· Journal of Nuclear Medicine· 0 citations
Although UQ has the potential to improve the safety and interpretability of AI-assisted screening, challenges remain, including calibration, threshold selection, computational cost, and the need for prospective clinical validation.
Fernando Vega Lara, Lisa Koopmans, Christian Roest et al.· Abdominal Radiology· 1 citation
This study developed, applied, and tested new automation tools to expedite the spectral/statistics approach, and resulted in sufficiently high AUCs and a reduction in processing time, warranting future applications in large patient cohorts.
Rulon Mayer, Yuan Yuan, J. Udupa et al.· Cancers· 0 citations
The findings highlight the need for evidence from large, multicenter, prospective trials and evaluation frameworks that reflect the consequences of clinical decision-making, as well as further exploration of safeguards to monitor and address mismatches between training data and incoming scans during deployment.
Lisa Koopmans, Fernando Vega Lara, Christian Roest et al.· Abdominal Radiology· 0 citations
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