Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Biparametric MRI Datasets.

Purpose To determine whether the unsupervised domain adaptation (UDA) method with generated images improves the performance of a supervised learning (SL) model for prostate cancer (PCa) detection using multisite biparametric (bp) MRI datasets. Materials and Methods This retrospective study included data from 5150 patients (14 191 samples) collected across nine different imaging centers. A novel UDA method using a unified generative model was developed for PCa detection using multisite bpMRI datasets.

Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique.

Background: Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can interfere with DL-CAD assessments and impair performance. This study aims to compare PCa detection of DL-CAD between zoomed-field-of-view echo-planar DWI (z-DWI) and full-field-of-view DWI (f-DWI) and find the risk factors affecting DL-CAD diagnostic efficiency.

A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.

Objectives: To evaluate the effect of a deep learning-based computer-aided diagnosis (DL-CAD) system on experienced and less-experienced radiologists in reading prostate mpMRI.

Methods: In this retrospective, multi-reader multi-case study, a consecutive set of 184 patients examined between 01/2018 and 08/2019 were enrolled. Ground truth was combined targeted and 12-core systematic transrectal ultrasound-guided biopsy.

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.

Materials And Methods: We selected 100 consecutive prostate magnetic resonance imaging cases from a publicly available data set (PROSTATEx Challenge) with and without histopathologically confirmed prostate cancer. Seven board-certified radiologists were tasked to read each case twice in 2 reading blocks (with and without the assistance of a DL-CAD), with a separation between the 2 reading sessions of at least 2 weeks.

[Multiparametric magnetic resonance imaging markers of clinically significant prostate cancer].

Authors aimed to assess the correlation between the apparent diffusion coefficient (ADC of the tumor, ADC ratio) and final grade group (GG) after radical prostatectomy (RP), and to determine the threshold values of ADC for detecting clinically significant prostate cancer (PC) with subsequent evaluation in a prospective group. 118 patients with PC were included in the retrospective group. These patients underwent RP from 2012 to 2017 with preoperative 3 Tesla multiparametric MRI (mpMRT) with contrast enhancement in a single center.

[Radiocontrast properties of the emulsion of the perfluoroorganic compound lipobrom].

X-ray contrast properties of the new perfluoroorganic emulsion lipobrom were studied in comparison to those of a traditional clinical Roentgen diagnostic agents omnnipaque and ultravist and the well-known blood substitute perftoran. The x-ray patterns were evaluated by a computer morphodensitometry technique.

[The dynamics of antigen-antibody complex formation in the presence of iodine-containing diagnostic agents].

A mathematical model is proposed to describe the antigen-antibody complex formation under the immunoassay conditions, which allows the antibody-antigen affinity to be evaluated. In particular, it is established that the dissociation constant of the antigen-antibody complex (for antibodies to a tuberculous Mycobacterium) confidently increases (p > 0.95) in the following sequence of diagnostic kits: omnipak > Ultravist > melitrast > Triombrast.

[The effect of x-ray contrast media on the concentration of intracellular calcium in mononuclear cells].

It was shown by the method of fluorescent probes that iodine-containing radiocontrast agents Triombrast > Omnipaque > Ultravist > Melitrast increase the content of intracellular Ca2+ in macrophages of the abdominal cavity of rats. Increase in the entry of Ca2+ from the external environment is the main factor of the change in the intracellular concentration of Ca2+ ions in the macrophages in interaction with radiocontrast agents.

[Comparative analysis of two mycobacterium tuberculosis antigens and two methodological approaches to determining serum antimycobacterial antibodies].

The glycoprotein (15-18 kDa) antigen of Mycobacterium tuberculosis H37Rv was affinity isolated on the immunosorbent with monoclonal antibodies S4C1G4 (specific to M. tuberculosis H37Rv; Avdiyenko V. G.

[The mechanisms of the interaction of contrast media with serum albumin and gamma-globulin studied by means of fluorescence extinction and equilibrium dialysis].

The mechanisms binding X-ray contrast media and magneto-resonance contrast media of various structure with human serum albumin and gamma-globulins were studied. Equilibrium dialysis showed that X-ray contrast media bind with blood plasma proteins, but magneto-resonance contrast media do not interact with these proteins. Electrostatic forces play a significant role in formation of complexes of X-ray contrast media with human blood serum albumin.

1H and 13C NMR study of the molecular interaction mechanism between chloramphenicol and human serum albumin.

Molecular mechanism of the interaction between human serum albumin and cloramphenicol was studied by 1H and 13C NMR-spectroscopy. It was found that the main role belongs to [formula: see text] groups of chloramphenicol. A schematic model of the complex-formation between serum albumin and chloramphenicol was proposed.