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ageal cancer but underscore the importance of a proper preoperative patient selection.

Pancreatic resections are among the most technically demanding procedures, including a high risk of potentially life-threatening complications and outcomes strongly correlated to hospital volume and individual surgeon experience. Selleck GSK J4 Minimally invasive pancreatic resections (MIPRs) have become a part of standard surgical practice worldwide over the last decade; however, in comparison with other surgical procedures, the implementation of minimally invasive approaches into clinical practice has been rather slow.

The aim of this study was to highlight and summarize the available randomized controlled trials (RCTs) evaluating the role of minimally invasive approaches in pancreatic surgery.

A WHO trial registry and Pubmed database literature search was performed to identify all RCTs comparing MIPRs (robot-assisted and/or laparoscopic distal pancreatectomy [DP] or pancreatoduodenectomy [PD]) with open pancreatic resections (OPRs).

Overall, five RCTs on MIPR versus OPR have been published and seven RCTs are currsubgroups of patients or indications with the greatest benefit of MIPRs.

At the current level of evidence, MIDP is thought to be safe and feasible, although oncological safety should be further evaluated. Based on the results of the RCTs conducted for PD, MIPD cannot be proclaimed as the superior alternative to open PD, although promising outcomes have been demonstrated by experienced centers. Future studies should provide answers to the role of robotic approaches in pancreatic surgery and aim to identity the subgroups of patients or indications with the greatest benefit of MIPRs.

Risk classification of primary prostate cancer in clinical routine is mainly based on prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor-nodes-metastasis (TNM) staging. This study aimed to investigate the diagnostic performance of positron emission tomography/magnetic resonance imaging (PET/MRI) in vivo models for predicting low-vs-high lesion risk (LH) as well as biochemical recurrence (BCR) and overall patient risk (OPR) with machine learning.

Fifty-two patients who underwent multi-parametric dual-tracer [

F]FMC and [

Ga]Ga-PSMA-11 PET/MRI as well as radical prostatectomy between 2014 and 2015 were included as part of a single-center pilot to a randomized prospective trial (NCT02659527). Radiomics in combination with ensemble machine learning was applied including the [

Ga]Ga-PSMA-11 PET, the apparent diffusion coefficient, and the transverse relaxation time-weighted MRI scans of each patient to establish a low-vs-high risk lesion prediction model (M

). Furthermoremary prostate cancer patients built on PET/MRI radiomics and machine learning without biopsy sampling.

Recent advances in diagnostic imaging techniques and soft tissue endoscopy now allow for precise diagnosis and management of extra-articular hip pathology. The aim of this scoping review is to present an evidence-based update of the relevant literature focussing only on the pathoanatomy, clinical assessment and the diagnosis of pathology in the peritrochanteric space.

A literature search was performed on PubMed to include articles which reported on the anatomy and diagnosis of greater trochanteric pain syndrome, trochanteric bursitis, gluteus medius tears and external snapping hip syndrome.

A total of 542 studies were identified, of which 49 articles were included for full text analysis for the scoping review. Peritrochanteric space pathology can be broadly classified into (1) greater trochanteric pain syndrome (GTPS), (2) abductor tears and (3) external snapping hip syndrome. Anatomically, gluteus medius, gluteus minimus and tensor fascia lata work in conjunction to abduct and internally rotate the hiptomy of the abductor musculature, specific clinical signs and imaging findings will lead to an appropriate diagnosis being made and management plan instituted.

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The aim was to study the effects of barbiturate coma treatment (BCT) on intracranial pressure (ICP) and intracranial compensatory reserve (RAP index) in children (< 17 years of age) with traumatic brain injury (TBI) and refractory intracranial hypertension (RICH).

High-resolution monitoring data were used to study the effects of BCT on ICP, mean arterial pressure (MAP), cerebral perfusion pressure (CPP), and RAP index. Four half hour long periods were studied before bolus injection and at 5, 10, and 24 hours thereafter, respectively, and a fifth tapering period with S-thiopental between < 100 and < 30 μmol/L. S-thiopental concentrations and administered doses were registered.

Seventeen children treated with BCT 2007-2017 with high-resolution data were included; median age 15 (range 6-17) and median Glasgow coma score 7 (range 3-8). Median time from trauma to start of BCT was 44.5 h (range 2.5-197.5) and from start to stop 99.0 h (range 21.0-329.0). Median ICP was 22 (IQR 20-25) in the half hour period before onset of BCT and 16 (IQR 11-20) in the half hour period 5 h later (p = 0.011). The corresponding figures for CPP were 65 (IQR 62-71) and 63 (57-71) (p > 0.05). The RAP index was in the half hour period before onset of BCT 0.6 (IQR 0.1-0.7), in the half hour period 5 h later 0.3 (IQR 0.1-0.7) (p = 0.331), and in the whole BCT period 0.3 (IQR 0.2-0.4) (p = 0.004). Eighty-two percent (14/17) had favorable outcome (good recovery = 8 patients and moderate disability = 6 patients).

BCT significantly reduced ICP and RAP index with preserved CPP. BCT should be considered in case of RICH.

BCT significantly reduced ICP and RAP index with preserved CPP. BCT should be considered in case of RICH.Constrained fourth-order latent differential equation (FOLDE) models have been proposed (e.g., Boker et al. 2020) as alternative to second-order latent differential equation (SOLDE) models to estimate second-order linear differential equation systems such as the damped linear oscillator model. When, however, only a relatively small number of measurement occasions T are available (i.e., [Formula see text]), the recommendation of which model to use is not clear (Boker et al. 2020). Based on a data set, which consists of [Formula see text] observations of daily stress for [Formula see text] individuals, we illustrate that FOLDE can help to choose an embedding dimension, even in the case of a small T. This is of great importance, as parameter estimates depend on the embedding dimension as well as on the latent differential equations model. Consequently, the wavelength as quantity of potential substantive interest may vary considerably. We extend the modeling approaches used in past research by including multiple subjects, by accounting for individual differences in equilibrium, and by including multiple instead of one single observed indicator.

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