AIMC Topic: Prostatic Neoplasms

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Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.

Radiology
Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate and efficient radiologic interpretation. Although artificial intelligence may assist in this task, lack of transparency has limited clinical translation. Purpo...

Disparities in access to robotic technology and perioperative outcomes among patients treated with radical prostatectomy.

Journal of surgical oncology
BACKGROUND: Most radical prostatectomies are completed with robotic assistance. While studies have previously evaluated perioperative outcomes of robot-assisted radical prostatectomy (RARP), this study investigates disparities in access and clinical ...

A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy.

Physics in medicine and biology
. In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. To assess the need for adaptation, motion models can be used to simulate dominant motion patterns and assess anatomical ...

A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.

Computers in biology and medicine
BACKGROUND: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern advances in medicine, its mortality has been considerably reduced. However, it is still a leading type of cancer in terms of deat...

Simultaneous excision of pelvic lipoma and robot-assisted radical prostatectomy.

BMJ case reports
Lipoma is a benign mesenchymal tumour that can develop in any part of the body containing adipose tissue. Very few cases of pelvic lipomas have been reported in the literature. Due to their location and slow growth, pelvic lipomas are often asymptoma...

Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

Medical physics
PURPOSE: Radiation damage on neurovascular bundles (NVBs) may be the cause of sexual dysfunction after radiotherapy for prostate cancer. However, it is challenging to delineate NVBs as organ-at-risks from planning CTs during radiotherapy. Recently, t...

A pair of deep learning auto-contouring models for prostate cancer patients injected with a radio-transparent versus radiopaque hydrogel spacer.

Medical physics
BACKGROUND: Absorbable hydrogel spacer injected between prostate and rectum is gaining popularity for rectal sparing. The spacer alters patient anatomy and thus requires new auto-contouring models.

Preoperative endogenous total testosterone predicts prostate cancer progression: results in 580 consecutive patients treated with robot assisted radical prostatectomy for clinically localized disease.

International urology and nephrology
PURPOSE: To test the role of endogenous total testosterone (ETT) as a predictor of prostate cancer (PCa) progression in patients treated with robot assisted radical prostatectomy for clinically localized disease.

Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center.

Medicina (Kaunas, Lithuania)
: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predict...