Using a Recurrent Neural Network To Inform the Use of Prostate-specific Antigen (PSA) and PSA Density for Dynamic Monitoring of the Risk of Prostate Cancer Progression on Active Surveillance

The global uptake of prostate cancer (PCa) active surveillance (AS) is steadily increasing. While prostate-specific antigen density (PSAD) is an important baseline predictor of PCa progression on AS, there is a scarcity of recommendations on its use in follow-up. In particular, the best way of measuring PSAD is unclear. One approach would be to use the baseline gland volume (BGV) as a denominator in all calculations throughout AS (nonadaptive PSAD, PSADNA), while another would be to remeasure gland volume at each new magnetic resonance imaging scan (adaptive PSAD, PSADA). In addition, little is known about the predictive value of serial PSAD in comparison to PSA. We applied a long short-term memory recurrent neural network to an AS cohort of 332 patients and found that serial PSADNA significantly outperformed both PSADA and PSA for follow-up prediction of PCa progression because of its high sensitivity. Importantly, while PSADNA was superior in patients with smaller glands (BGV ≤55 ml), serial PSA was better in men with larger prostates of >55 ml. Patient summary: Repeat measurements of prostate-specific antigen (PSA) and PSA density (PSAD) are the mainstay of active surveillance in prostate cancer. Our study suggests that in patients with a prostate gland of 55 ml or smaller, PSAD measurements are a better predictor of tumour progression, whereas men with a larger gland may benefit more from PSA monitoring

Glow discharge in low pressure plasma PVD: mathematical model and numerical simulations

In this paper we analyze the problem of glow discharge in low pressure plasma in industrial plant, for chambers of different shapes and various working parameters, like pressure and electric potential. The model described is based upon a static approximation of the AC configuration with two electrodes and a drift diffusion approximation for the current density of positive ions and electrons. A detailed discussion of the boundary conditions imposed is given, as well as the full description of the mathematical model. Numerical simulations were performed for a simple 1D model and two different 2D models, corresponding to two different settings of the industrial plant. The simpler case consists of a radially symmetric chamber, with one central electrode (cathode), based upon a DC generator. In this case, the steel chamber acts as the anode. The second model concerns a two dimensional horizontal cut of the most common plant configuration, with two electrodes connected to an AC generator. The case is treated in a "quasi-static" approximation. The three models show some common behaviours, particularly including the main expected features, such as dark spaces, glow regions and a wide "plasma region". Furthermore, the three shown models show some similarities with previously published results concerning 1D and simplified 2D models, as well as with some preliminary results of the full 3D case.Comment: 16 pages, 11 figures, in pres

Radiologist-rheumatologist multidisciplinary approach in the management of axial spondyloarthritis: a Delphi consensus statement

OBJECTIVES: The aim of this study was to develop a Delphi consensus statement between rheumatologists and radiologists for the diagnosis and monitoring of axial spondyloarthritis (axial-SpA). METHODS: Following an extensive literature search to identify unmet needs and potential goals for a multidisciplinary approach, a scientific board comprising 28 Italian hospital-based rheumatologists (n=19) and radiologists (n=9) identified 8 "starting points", resulting in the development of 23 consensus statements covering issues from current practice guidelines to specific MRI protocols for the assessment of axial-SpA. Each participant anonymously expressed a level of agreement for each statement using a 5-point Likert scale (1="strongly disagree"; 5="strongly agree") via an online Delphi method.Total cumulative agreement (TCA) was defined as the sum of the percentage of response to items 4 ("agree") and 5 ("absolutely agree"). Consensus was defined as ≥80% total cumulative agreement for each statement. RESULTS: After the first round of voting (28 participants), positive consensus was reached for 28/31 (90.3%) statements. Statements without consensus (n=3) were discussed in a face-to-face plenary session prior to the second vote (28 participants). After the second round voting, positive consensus was attained for all 31 statements, with mean final TCA of 95.5% (range 82.1-100%). CONCLUSIONS: This Delphi consensus statement provides an aid to rheumatologists and radiologists for the diagnosis and monitoring of axial-SpA

SHARE Study Group. Radiologist-rheumatologist multidisciplinary approach in the management of axial spondyloarthritis: a Delphi consensus statement

OBJECTIVES: The aim of this study was to develop a Delphi consensus statement between rheumatologists and radiologists for the diagnosis and monitoring of axial spondyloarthritis (axial-SpA). METHODS: Following an extensive literature search to identify unmet needs and potential goals for a multidisciplinary approach, a scientific board comprising 28 Italian hospital-based rheumatologists (n=19) and radiologists (n=9) identified 8 "starting points", resulting in the development of 23 consensus statements covering issues from current practice guidelines to specific MRI protocols for the assessment of axial-SpA. Each participant anonymously expressed a level of agreement for each statement using a 5-point Likert scale (1="strongly disagree"; 5="strongly agree") via an online Delphi method.Total cumulative agreement (TCA) was defined as the sum of the percentage of response to items 4 ("agree") and 5 ("absolutely agree"). Consensus was defined as ≥80% total cumulative agreement for each statement. RESULTS: After the first round of voting (28 participants), positive consensus was reached for 28/31 (90.3%) statements. Statements without consensus (n=3) were discussed in a face-to-face plenary session prior to the second vote (28 participants). After the second round voting, positive consensus was attained for all 31 statements, with mean final TCA of 95.5% (range 82.1-100%). CONCLUSIONS: This Delphi consensus statement provides an aid to rheumatologists and radiologists for the diagnosis and monitoring of axial-SpA