AIMC Topic:
Prostatic Neoplasms
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Study of the Usefulness of Bone Scan Index Calculated From 99m-Technetium- Hydroxymethylene Diphosphonate (Tc-HMDP) Bone Scintigraphy for Bone Metastases from Prostate Cancer Using Deep Learning Algorithms.
Current medical imaging
Jan 1, 2021
BACKGROUND: BSI calculated from bone scintigraphy using technetium-methylene diphosphonate (Tc-MDP) is used as a quantitative indicator of metastatic bone involvement in bone metastasis diagnosis, therapeutic effect assessment, and prognosis predicti...
New prostate MRI techniques and sequences.
Abdominal radiology (New York)
Dec 1, 2020
Prostate MRI has seen increasing interest in recent years and has led to the development of new MRI techniques and sequences to improve prostate cancer (PCa) diagnosis which are reviewed in this article. Numerous studies have focused on improving ima...
Detection of Pathogenic Variants With Germline Genetic Testing Using Deep Learning vs Standard Methods in Patients With Prostate Cancer and Melanoma.
JAMA
Nov 17, 2020
IMPORTANCE: Less than 10% of patients with cancer have detectable pathogenic germline alterations, which may be partially due to incomplete pathogenic variant detection.
Prostatic Neoplasms
Genetic Testing
High-Throughput Nucleotide Sequencing
DNA Mutational Analysis
Germ-Line Mutation
Deep Learning
Genetic Predisposition to Disease
Predictive Value of Tests
Cross-Sectional Studies
Male
Middle Aged
Humans
Neural Networks, Computer
Melanoma
Female
Sensitivity and Specificity
Bioinformatics, Sequencing Accuracy, and the Credibility of Clinical Genomics.
JAMA
Nov 17, 2020
Synthesis and evaluation of a novel nanosized anionic linear globular dendrimer G2-ciprofloxacin conjugate against prostate cancer.
Pakistan journal of pharmaceutical sciences
Nov 1, 2020
Prostate cancer is the second most common cancer in the world and the fifth cause of cancer deaths in men. Ciprofloxacin enables the inhabitation of the development of prostate cancer. In this regard, we plan to improve the anticancer effect of cipro...
Pathomics in urology.
Current opinion in urology
Nov 1, 2020
PURPOSE OF REVIEW: Pathomics, the fusion of digitalized pathology and artificial intelligence, is currently changing the landscape of medical pathology and biologic disease classification. In this review, we give an overview of Pathomics and summariz...
[Simple Methods to Prevent Postoperative Inguinal Hernia after Extraperitoneal and Transperitoneal Robot-Assisted Radical Prostatectomy].
Hinyokika kiyo. Acta urologica Japonica
Oct 1, 2020
Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal and transperitoneal robot-assisted radical prostatectomy (RARP). Among 275 patients who underwent RARP between January 2014 and December 2016 at our ...
[Risk factors for postoperative intestinal obstruction in patients undergoing robot-assisted laparoscopic radical prostatectomy].
Zhonghua yi xue za zhi
Sep 15, 2020
To analyze the risk factors of postoperative intestinal obstruction (POI) in patients undergoing robot-assisted laparoscopic radical prostatectomy (RARP). The clinical data of 573 patients receiving RARP from January to December 2019 in Nanjing Dru...
[Application of artificial intelligence combined with multi-parametric MRI in the early diagnosis of prostate cancer].
Zhonghua nan ke xue = National journal of andrology
Sep 1, 2020
OBJECTIVE: To explore the value of artificial intelligence combined with multi-parametric MRI (AI-mpMRI) in the early diagnosis of prostate cancer.
[Necessity of Pelvic Drain Placement after Robot-Assisted Radical Prostatectomy].
Hinyokika kiyo. Acta urologica Japonica
Sep 1, 2020
Sixty eight patients had robot-assisted radical prostatectomy (RARP) from January 2016 to April 2017 with estimated blood loss of less than 500 ml. We compared the postoperative complication rates and the length of hospital stay between 34 of these p...
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