Urology

Live-cell phenotypic-biomarker microfluidic assay for the risk stratification of cancer patients via machine learning.

The risk stratification of prostate cancer and breast cancer tumours from patients relies on histopathology, selective genomic testing, or on other methods employing fixed formalin tissue samples. However, static biomarker measurements from bulk fixed-tissue samples provide limited accuracy and actionability. Here, we report the development of a live-primary-cell phenotypic-biomarker assay with si...

A Study of the Role of 180W XPS Lithium Triborate Laser in the Treatment of Patients With Lower Urinary Tracts Symptoms Due to Benign Prostatic Hyperplasia.

Benign prostatic hyperplasia (BPH) is a disease of the prostate commonly seen in elderly males known to cause lower urinary tract symptoms (LUTS) that may require surgery as a part of treatment. Transurethral resection of the prostate (TURP) is considered the gold standard of surgical treatment, but it is not without complications. Laser photoselective vaporisation of the prostate (PVP), introduc...

Endoflip vs high-definition manometry in the assessment of fecal incontinence: A data-driven unsupervised comparison.

BACKGROUND: How much anal sphincter dysfunction contributes to fecal incontinence (FI) is not clear. High-definition anorectal manometry (HDAM) and fu...

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.

Restricted Boltzmann Machine (RBM) is the building block of Deep Belief Nets and other deep learning tools. Fast learning and prediction are both esse...

Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with adverse health outcomes, such as increased mortality, la...

Classification of suspicious lesions on prostate multiparametric MRI using machine learning.

We present a radiomics-based approach developed for the SPIE-AAPM-NCI PROSTATEx challenge. The task was to classify clinically significant prostate ca...

A hierarchical multimodal system for motion analysis in patients with epilepsy.

During seizures, a myriad of clinical manifestations may occur. The analysis of these signs, known as seizure semiology, gives clues to the underlying...

Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learnin...

Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for...

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.

Accurate segmentation of pelvic organs (i.e., prostate, bladder, and rectum) from CT image is crucial for effective prostate cancer radiotherapy. Howe...

Disease Specific Ontology of Adverse Events: Ontology extension and adaptation for Chronic Kidney Disease.

BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assisted reasoning of AEs. Despite significant progress i...

Ethambutol-induced optic neuropathy in renal disorder: a clinico-electrophysiological study.

OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patients with tuberculosis and the role of visual evoked ...

Re: Granieri et al.: Robotic Y-V Plasty fpr Recalcitrant Bladder Neck Contracture (Urology 2018;117:163-165).

Automated prediction of dosimetric eligibility of patients with prostate cancer undergoing intensity-modulated radiation therapy using a convolutional neural network.

The quality of radiotherapy has greatly improved due to the high precision achieved by intensity-modulated radiation therapy (IMRT). Studies have been...

Twelve weeks of supervised exercise improves self-reported symptom burden and fatigue in chronic kidney disease: a secondary analysis of the 'ExTra CKD' trial.

BACKGROUND: Chronic kidney disease (CKD) patients experience a high symptom burden including fatigue, sleep difficulties, muscle weakness and pain. Th...

Automated Gleason grading of prostate cancer tissue microarrays via deep learning.

The Gleason grading system remains the most powerful prognostic predictor for patients with prostate cancer since the 1960s. Its application requires ...

Single-port transperitoneal robotic-assisted laparoscopic radical prostatectomy (spRALP): Initial experience.

OBJECTIVE: To assess the feasibility of single-port transperitoneal robotic-assisted laparoscopic radical prostatectomy (spRALP) and discuss its surgi...

Boosting support vector machines for cancer discrimination tasks.

Cancer is a complex disease that is caused by rapid alteration of genes. Prediction of the state of cancer in advance contributes to a better understa...

Establishment of a SVM classifier to predict recurrence of ovarian cancer.

Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of interest and a support vector machine (SVM) classifier...

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.

PURPOSE: We propose an approach of 3D convolutional neural network to segment the prostate in MR images.