A Multicentric Randomized Trial to Evaluate the ROle of Uterine MANipulator on Laparoscopic/Robotic HYsterectomy for the Treatment of Early-Stage Endometrial Cancer: The ROMANHY Trial

Objective: This prospective randomized trial aimed to assess the impact of the uterine manipulator in terms of lymph vascular space invasion (LVSI) in patients undergoing minimally invasive staging for early-stage endometrial cancer. Methods: In this multicentric randomized trial, enrolled patients were randomly allocated in two groups according to the no use (arm A) or the use (arm B) of the uterine manipulator. Inclusion criteria were G1-G2 early-stage endometrial cancer at preoperative evaluation. The variables collected included baseline demographic characteristics, perioperative data, final pathology report, adjuvant treatment, and follow-up. Results: In the study, 154 patients (76 in arm A and 78 in arm B) were finally included. No significant differences were recorded regarding the baseline characteristics. A statistically significant difference was found in operative time for the laparoscopic staging (p=0.005), while no differences were reported for the robotic procedures (p=0.419). The estimated blood loss was significantly lower in arm A (p=0.030). No statistically significant differences were recorded between the two study groups in terms of peritoneal cytology, LVSI (p=0.501), and pattern of LVSI (p=0.790). No differences were detected in terms of overall survival and disease-free survival (p=0.996 and p=0.480, respectively). Similarly, no differences were recorded in the number of recurrences, 6 (7.9%) in arm A and 4 (5.2%) in arm B (p=0.486). The use of the uterine manipulator had no impact on DFS both at univariable and multivariable analyses. Conclusions: The intrauterine manipulator does not affect the LVSI in early-stage endometrial cancer patients undergoing laparoscopic/robotic staging. Clinical Trial Registration: https://clinicaltrials.gov, identifier (NCT: 02762214

An integrated multi-omics approach identifies the landscape of interferon-α-mediated responses of human pancreatic beta cells

Interferon-α (IFNα), a type I interferon, is expressed in the islets of type 1 diabetic individuals, and its expression and signaling are regulated by T1D genetic risk variants and viral infections associated with T1D. We presently characterize human beta cell responses to IFNα by combining ATAC-seq, RNA-seq and proteomics assays. The initial response to IFNα is characterized by chromatin remodeling, followed by changes in transcriptional and translational regulation. IFNα induces changes in alternative splicing (AS) and first exon usage, increasing the diversity of transcripts expressed by the beta cells. This, combined with changes observed on protein modification/degradation, ER stress and MHC class I, may expand antigens presented by beta cells to the immune system. Beta cells also up-regulate the checkpoint proteins PDL1 and HLA-E that may exert a protective role against the autoimmune assault. Data mining of the present multi-omics analysis identifies two compound classes that antagonize IFNα effects on human beta cells.This article is freely available via Open Access. Click on the Publisher URL to access it via the publisher's site.P30 DK097512/DK/NIDDK NIH HHS/United States UC4 DK104166/DK/NIDDK NIH HHS/United States MR/P010695/1/MRC_/Medical Research Council/United Kingdompublished version, accepted version, submitted versio

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

A primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the $\mathcal{O}(10)$ MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the $\nu_e$ component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section $\sigma(E_\nu)$ for charged-current $\nu_e$ absorption on argon. In the context of a simulated extraction of supernova $\nu_e$ spectral parameters from a toy analysis, we investigate the impact of $\sigma(E_\nu)$ modeling uncertainties on DUNE's supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on $\sigma(E_\nu)$ must be substantially reduced before the $\nu_e$ flux parameters can be extracted reliably: in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10\% bias with DUNE requires $\sigma(E_\nu)$ to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of $\sigma(E_\nu)$. A direct measurement of low-energy $\nu_e$-argon scattering would be invaluable for improving the theoretical precision to the needed level.Comment: 25 pages, 21 figure

Identification and reconstruction of low-energy electrons in the ProtoDUNE-SP detector

Measurements of electrons from $\nu_e$ interactions are crucial for the Deep Underground Neutrino Experiment (DUNE) neutrino oscillation program, as well as searches for physics beyond the standard model, supernova neutrino detection, and solar neutrino measurements. This article describes the selection and reconstruction of low-energy (Michel) electrons in the ProtoDUNE-SP detector. ProtoDUNE-SP is one of the prototypes for the DUNE far detector, built and operated at CERN as a charged particle test beam experiment. A sample of low-energy electrons produced by the decay of cosmic muons is selected with a purity of 95%. This sample is used to calibrate the low-energy electron energy scale with two techniques. An electron energy calibration based on a cosmic ray muon sample uses calibration constants derived from measured and simulated cosmic ray muon events. Another calibration technique makes use of the theoretically well-understood Michel electron energy spectrum to convert reconstructed charge to electron energy. In addition, the effects of detector response to low-energy electron energy scale and its resolution including readout electronics threshold effects are quantified. Finally, the relation between the theoretical and reconstructed low-energy electron energy spectrum is derived and the energy resolution is characterized. The low-energy electron selection presented here accounts for about 75% of the total electron deposited energy. After the addition of lost energy using a Monte Carlo simulation, the energy resolution improves from about 40% to 25% at 50~MeV. These results are used to validate the expected capabilities of the DUNE far detector to reconstruct low-energy electrons.Comment: 19 pages, 10 figure

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on 10^3 pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

The DUNE far detector vertical drift technology. Technical design report

DUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals

Micro vs macro electrode DBS stimulation: A dosimetric study.

Deep Brain Stimulation (DBS) is a clinically suitable technique for the treatment of the Parkinson's disease. Recently, also other neurological disorders such as Tourette syndrome, obsessive-compulsive disorder, epilepsy are being to be treated with DBS. However, the debate on its therapeutic mechanisms of action is still open. In order to a better understanding of such mechanisms, in this work the attention is focused on the DBS micro-stimulation. Indeed, a micro electrodes registration and stimulation is a fundamental step, during the surgical phase, to optimize the technique in terms of DBS lead positioning and DBS signal parameters. In this paper a dosimetric analysis with micro electrodes has been carried out, showing a more focused distribution of the electrical potential induced in the neuroanatomical tissues and changes of the excited/inhibited regions, respect to a macro electrodes stimulation

Surgical outcomes of diaphragmatic resection during cytoreductive surgery for advanced gynecological ovarian neoplasia: A randomized single center clinical trial - DRAGON

Introduction: Ovarian cancer (OC) represent nearly 4% of gynecologic malignancies and it is often diagnosed at advanced stage. Diaphragmatic surgery, a fundamental step of advanced stage ovarian cancer (ASOC) debulking surgery, is associated with a high post-operative complication incidence, which is supposedly reduced with thoracostomy tube placement. We assessed the role of intra-operative thoracostomy tube placement, as a prevention measure for post-operative complications, after diaphragmatic resection. Methods: This was a single center prospective randomized trial. Ovarian cancer patients, who underwent mono-lateral diaphragmatic resection, were randomized 1:1 into two arms. Arm A included patients receiving intra-operative thoracostomy tube placement (TP); Arm B patients did not receive thoracostomy tube placement (NTP). After surgery, all patients underwent seriate chest x-ray and ultrasound to record thoracic complications. Statistical analysis included uni- and multivariable logistic regression model (proportional odds model). Results: Three hundred seventy-one patients were screened and 88 patients were enrolled: 44 in arm A and B, respectively. No statistically significant differences for intra-operative (p = 0.291) and any grade of post-operative complication (p = 0.072) were detected, while 6.8% of patients in arm A and 22.7% in arm B experienced severe respiratory symptoms (p = 0.035); 18.2% of patients in arm A had a moderate/large pleural effusion versus 65.9% in arm B (p < 0.0001). At multivariable analysis, results confirmed that the NTP-group had a higher risk to receive post-operative thoracostomy tube placement due to pleural effusion than the TP-group (odds ratio [95% Confidence Interval] = 14.5 [3.7–57.4]). Conclusions: Thoracostomy intra-operative tube placement after diaphragmatic resection is effective to prevent post-operative thoracic complications. The extension of resection does not influence outcomes and the risk of post-operative thoracentesis or TP remain elevated

Secondary cytoreductive surgery in recurrent uterine leiomyosarcoma: a multi-institutional study

Uterine leiomyosarcoma (uLMS) represents a rare gynecological malignancy with high incidence of recurrence. Evidence in literature about the management of recurrent uLMS is limited, and the role of secondary cytoreduction has been evaluated in small and heterogeneous populations. The objective of this study is to assess the prognostic role of secondary cytoreductive surgery and its related complications in a large and homogeneous group of patients