Urology

ACTIVITY CONCENTRATION ESTIMATION IN AUTOMATED KIDNEY SEGMENTATION BASED ON CONVOLUTION NEURAL NETWORK METHOD FOR 177LU-SPECT/CT KIDNEY DOSIMETRY.

For 177Lu-DOTATATE treatments, dosimetry based on manual kidney segmentation from computed tomography (CT) is accurate but time consuming and might be affected by misregistration between CT and SPECT images. This study develops a convolution neural network (CNN) for automated kidney segmentation that accurately aligns CT segmented volume of interest (VOI) to the kidneys in SPECT images. The CNN wa...

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study.

OBJECTIVE: The aim of this study was to evaluate the effect of a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans.

Upstaging and Survival Outcomes for Non-Muscle Invasive Bladder Cancer After Radical Cystectomy: Results from the International Robotic Cystectomy Consortium.

We sought to describe the incidence, risk factors, and survival outcomes associated with pathologic upstaging from non-muscle invasive bladder cancer...

Artificial Intelligence-assisted Prostate Cancer Diagnosis: Radiologic-Pathologic Correlation.

The classic prostate cancer (PCa) diagnostic pathway that is based on prostate-specific antigen (PSA) levels and the findings of digital rectal examin...

Invited Commentary: Prostate Cancer Diagnosis-Challenges and Opportunities for Artificial Intelligence.

[Robot-Assisted Partial Nephrectomy for Renal Cell Carcinoma Complicated by Leriche Syndrome : A Case Report].

A 71-year-old man was referred to our hospital for treatment of a 2 cm-sized right renal mass incidentally found by computed tomography (CT) and was d...

External and Internal Validation of a Computer Assisted Diagnostic Model for Detecting Multi-Organ Mass Lesions in CT images.

Objective We developed a universal lesion detector (ULDor) which showed good performance in in-lab experiments. The study aims to evaluate the perform...

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients.

Glioblastoma (GBM) is the most malignant and lethal intracranial tumor, with extremely limited treatment options. Immunotherapy has been widely studie...

Predicting Kidney Discard Using Machine Learning.

BACKGROUND: Despite the kidney supply shortage, 18%-20% of deceased donor kidneys are discarded annually in the United States. In 2018, 3569 kidneys w...

Outcomes of Artificial Intelligence Volumetric Assessment of Kidneys and Renal Tumors for Preoperative Assessment of Nephron-Sparing Interventions.

Renal-cell carcinoma is the most common kidney cancer and the 13th most common cause of cancer death worldwide. Partial nephrectomy and percutaneous ...

The emerging role of robotics in upper and lower urinary tract reconstruction.

PURPOSE OF REVIEW: Developments in robotic reconstructive urology have introduced novel treatments for complex upper and lower urinary tract disease. ...

Early Experience with Salvage Robotic-Assisted Radical Prostatectomy in Proton Beam Radiotherapy Failures.

AIMS: To assess the perioperative and short-term functional and oncologic outcomes of the salvage robot-assisted radical prostatectomy (sRARP), after ...

[FACTORS PREDICTING FULL URINARY CONTINENCE FOLLOWING ROBOT-ASSISTED LAPAROSCOPIC RADICAL PROSTATECTOMY (RALP)].

BACKGROUND: Urinary Incontinence (UI) following Robot-Assisted Laparoscopic-Radical Prostatectomy (RALP) adversely affects patients' quality of life.

Robotic Intracorporeal Ileal Conduit Urinary Diversion Technique.

The gold standard surgical treatment for muscle invasive bladder cancer is radical cystectomy and urinary diversion. This procedure has historically b...

Extraperitoneal Single-Port Robot-Assisted Radical Prostatectomy.

Robot-assisted radical prostatectomy (RARP) is currently the standard minimally invasive procedure for the surgical management of localized prostate c...

Robotic Female Radical Cystectomy.

Radical cystectomy is the standard of care for patients with nonmetastatic high-risk bladder cancer. Robotic approach to radical cystectomy has been d...

Robot-Assisted Radical Nephroureterectomy.

First proposed by Kimball and Ferris in 1933 for the treatment of papillary tumors in the upper urinary tract, radical nephroureterectomy (RNU) with b...

[Automatic segmentation of kidney tumor based on cascaded multiscale convolutional neural networks].

The background of abdominal computed tomography (CT) images is complex, and kidney tumors have different shapes, sizes and unclear edges. Consequently...

[Evaluating continence recovery time after robot-assisted radical prostatectomy].

OBJECTIVE: To evaluate urinary continence recovery time and risk factors of urinary continence recovery after robot-assisted laparoscopic radical pros...

Machine Learning for Early Lung Cancer Identification Using Routine Clinical and Laboratory Data.

Most lung cancers are diagnosed at an advanced stage. Presymptomatic identification of high-risk individuals can prompt earlier intervention and impr...