Artificial intelligence developments are essential to the successful deployment of community-wide, MRI-driven prostate cancer diagnosis. AI systems should ensure that the main benefits of biopsy avoidance are delivered while maintaining consistent high specificities, at a range of disease prevalences. Since all current artificial intelligence / computer-aided detection systems for prostate cancer detection are experimental, multiple developmental efforts are still needed to bring the vision to fruition. Initial work needs to focus on developing systems as diagnostic supporting aids so their results can be integrated into the radiologists' workflow including gland and target outlining tasks for fusion biopsies. Developing AI systems as clinical decision-making tools will require greater efforts. The latter encompass larger multicentric, multivendor datasets where the different needs of patients stratified by diagnostic settings, disease prevalence, patient preference, and clinical setting are considered. AI-based, robust, standard operating procedures will increase the confidence of patients and payers, thus enabling the wider adoption of the MRI-directed approach for prostate cancer diagnosis. KEY POINTS: • AI systems need to ensure that the benefits of biopsy avoidance are delivered with consistent high specificities, at a range of disease prevalence. • Initial work has focused on developing systems as diagnostic supporting aids for outlining tasks, so they can be integrated into the radiologists' workflow to support MRI-directed biopsies. • Decision support tools require a larger body of work including multicentric, multivendor studies where the clinical needs, disease prevalence, patient preferences, and clinical setting are additionally defined.
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http://dx.doi.org/10.1007/s00330-021-08021-6 | DOI Listing |
World J Urol
January 2025
Department of Urology, Urooncology, Robot-assisted and Focal Therapy, University Hospital Magdeburg, Otto-von Guericke University Magdeburg, Leipziger Str. 44, 39120, Magdeburg, Germany.
Background And Objectives: Radical prostatectomy is a standard treatment for prostate cancer, yet about 30% of patients experience rising biochemical markers within a decade post-surgery. Pelvic lymph node sampling during prostatectomy assesses potential lymph node metastases, but standard histological assessments, which typically examine only 2-3 tissue sections, often miss occult metastases. This study assesses the effectiveness of qPCR in detecting PSA coding KLK3 mRNA for identifying lymph node metastases post-prostatectomy and explores the correlation between PSA-mRNA and biochemical recurrence.
View Article and Find Full Text PDFSci Rep
January 2025
School of Physics, Engineering and Technology, University of York, Heslington, York, YO10 5DD, UK.
Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Only a small subset of prostate cancers are aggressive and require removal and treatment to prevent metastatic spread. However, conventional diagnostics remain challenged to risk-stratify such patients; hence, new methods of approach to biomolecularly sub-classify the disease are needed. Here we use an unsupervised self-organising map approach to analyse live-cell Raman spectroscopy data obtained from prostate cell-lines; our aim is to exemplify this method to sub-stratify, at the single-cell-level, the cancer disease state using high-dimensional datasets with minimal preprocessing.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Urology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, 215006, People's Republic of China.
CXCL14 is a highly conserved chemokine expressed in various cell types, playing crucial roles in both physiological and pathological processes, including immune regulation and tumorigenesis. Recently, the role of CXCL14 in tumors has attracted considerable attention. However, previous pan-cancer studies have reported inconsistencies regarding the effects of CXCL14 on tumors, particularly concerning its expression levels in tumor tissues and its influence on various phenotypes of cancer cells.
View Article and Find Full Text PDFAcad Radiol
January 2025
University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network-Sinai Health System -Women's College Hospital, University of Toronto, Toronto, ON, Canada (S.A.M., P.V.H., U.M., A.B.D.). Electronic address:
Rationale And Objectives: Recently, the Response Evaluation Using PSMA PET/CT in Patients with Metastatic Castration-Resistant Prostate Cancer (RECIP 1.0) was proposed to better evaluate treatment response in prostate cancer patients using PET/CT with prostate-specific membrane antigen (PSMA) than more traditional approaches like metabolic PET evaluation response criteria in solid tumor (PERCIST 1.0).
View Article and Find Full Text PDFBrachytherapy
January 2025
Department of Genitourinary Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Background: To determine outcomes of MRI-assisted radiosurgery (MARS) for salvage brachytherapy using the radioisotope Pd after various upfront treatments including surgery, external beam radiotherapy, and brachytherapy.
Methods: We retrospectively reviewed data for patients who underwent salvage MARS for intraprostatic lesions or prostate bed recurrences from 2016 to 2022. Biochemical recurrence, prostate cancer-specific, and overall survival, and the cumulative incidences of toxicities, were determined by Kaplan-Meier estimates.
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