AIMC Topic: Prostatic Neoplasms

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Evaluation of a deep learning prostate cancer detection system on biparametric MRI against radiological reading.

European radiology Dec 19, 2024
OBJECTIVES: This study aims to evaluate a deep learning pipeline for detecting clinically significant prostate cancer (csPCa), defined as Gleason Grade Group (GGG) ≥ 2, using biparametric MRI (bpMRI) and compare its performance with radiological read...
Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Neoplasm Grading Humans Aged Sensitivity and Specificity
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Validating knowledge-based volumetric modulated arc therapy plans with a multi-institution model (broad model) using a complete open-loop dataset for prostate cancer.

Physical and engineering sciences in medicine Dec 18, 2024
This study examined the characteristics of the broad model (KBP) through a complete open-loop evaluation of volumetric modulated arc therapy (VMAT) plans for prostate cancer in 30 patients at two institutions. KBP, trained using 561 prostate cancer V...
Radiotherapy, Intensity-Modulated Knowledge Bases Humans Radiotherapy Planning, Computer-Assisted Male Radiotherapy Dosage Prostatic Neoplasms
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Stimulated Raman Histology and Artificial Intelligence Provide Near Real-Time Interpretation of Radical Prostatectomy Surgical Margins.

The Journal of urology Dec 17, 2024
PURPOSE: Balancing surgical margins and functional outcomes is crucial during radical prostatectomy for prostate cancer. Stimulated Raman histology (SRH) is a novel, real-time imaging technique that provides histologic images of fresh, unprocessed, a...
Prostatic Neoplasms Laparoscopy Robotic Surgical Procedures Male Middle Aged Humans Spectrum Analysis, Raman Prostate Artificial Intelligence Neural Networks, Computer Prostatectomy Aged Margins of Excision Sensitivity and Specificity
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Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.

The Journal of pathology Dec 11, 2024
The presence, location, and extent of prostate cancer is assessed by pathologists using H&E-stained tissue slides. Machine learning approaches can accomplish these tasks for both biopsies and radical prostatectomies. Deep learning approaches using co...
Neural Networks, Computer Male Deep Learning Prostatic Neoplasms Biopsy Prostatectomy Humans
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Towards U-Net-based intraoperative 2D dose prediction in high dose rate prostate brachytherapy.

Brachytherapy Dec 11, 2024
BACKGROUND: Poor needle placement in prostate high-dose-rate brachytherapy (HDR-BT) results in sub-optimal dosimetry and mentally predicting these effects during HDR-BT is difficult, creating a barrier to widespread availability of high-quality prost...
Humans Machine Learning Retrospective Studies Male Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage
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Digital Pathology-based Artificial Intelligence Biomarker Validation in Metastatic Prostate Cancer.

European urology oncology Dec 10, 2024
BACKGROUND AND OBJECTIVE: Owing to the expansion of treatment options for metastatic hormone-sensitive prostate cancer (mHSPC) and an appreciation of clinical subgroups with differential prognosis and treatment responses, prognostic and predictive bi...
Prognosis Aged Biomarkers, Tumor Humans Artificial Intelligence Prostatic Neoplasms Neoplasm Metastasis Male Prostatic Neoplasms, Castration-Resistant Middle Aged Disease Progression
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Enhancing thin slice 3D T2-weighted prostate MRI with super-resolution deep learning reconstruction: Impact on image quality and PI-RADS assessment.

Magnetic resonance imaging Dec 10, 2024
PURPOSES: This study aimed to assess the effectiveness of Super-Resolution Deep Learning Reconstruction (SR-DLR) -a deep learning-based technique that enhances image resolution and quality during MRI reconstruction- in improving the image quality of ...
Image Interpretation, Computer-Assisted Image Enhancement Magnetic Resonance Imaging Prostatic Neoplasms Prostate Aged, 80 and over Male Humans Middle Aged Retrospective Studies Deep Learning Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Automatic plan selection using deep network-A prostate study.

Medical physics Dec 10, 2024
BACKGROUND: Recently, high-dose-rate (HDR) brachytherapy treatment plans generation was improved with the development of multicriteria optimization (MCO) algorithms that can generate thousands of pareto optimal plans within seconds. This brings a shi...
Humans Radiotherapy Dosage Algorithms Male Radiotherapy Planning, Computer-Assisted Deep Learning Automation Prostatic Neoplasms Brachytherapy Organs at Risk
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Federated learning for enhanced dose-volume parameter prediction with decentralized data.

Medical physics Dec 6, 2024
BACKGROUND: The widespread adoption of knowledge-based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data.
Male Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Machine Learning Radiation Dosage Radiotherapy Dosage Federated Learning
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Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 6, 2024
BACKGROUND AND PURPOSE: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose distributions can enable instantaneous treatment planning (IP), in which the treating physician can evaluate the dose and approve the plan immediatel...
Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Male Deep Learning Radiotherapy, Intensity-Modulated
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