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Filter by:Transvaginal Natural Orifice Transluminal Endoscopic Surgery (vNOTES) is a recent innovation in minimally invasive surgery which has already proven its non-inferiority to conventional abdominal laparoscopy (CAL) for hysterectomy in terms of efficiency and safety. However, the investigators note a lack of medical literature and no specific randomized controlled trial (RCT) assessing women's sexual function after vNOTES for benign adnexal surgery. The aim of this RCT is to confirm the non-inferiority of the vNOTES approach for benign adnexal pathology compared to CAL on women's sexual function. Secondary outcomes will evaluate vNOTES's efficiency, morbidity and postoperative complications compared to CAL for benign adnexal surgery. The relationship between adnexal mass morcellation/aspiration and the quality of the histological analysis on surgical specimens will also be evaluated as secondary outcome.
Micro-computed tomography (micro-CT) is a novel biomedical non-destructive, slide-free digital imaging modality, which enables the rapid acquisition of accurate high-resolution, volumetric images of intact surgical tissue specimens. This imaging modality provides microscopic level of detail of intact tissues in three-dimensions without requiring any specimen preparation. Its non-destructive nature and the ongoing enhancement of imaging resolution and contrast renders micro-CT imaging particularly well suited for microanatomic studies in basic research across a wide range of interventional medical disciplines, including oncology. Our proposal concerns a multidisciplinary basic research effort which aims to facilitate the effective identification of different -and maybe challenging to differentiate- lung cancer patterns based on 3D X-ray histology. As an alternative for the use of hematoxylin & eosin (H&E) slides, optimized micro-CT scanning of soft tissues emerges as a promising tool to enable non-invasive 3D X-ray histology of formalin-fixed and paraffin-embedded (FFPE) lung cancer specimens. The objective of our proposal is to offer novel insights into the complex architecture of each lung cancer subtype after imaging FFPE surgical specimens, resected from lung cancer surgeries. The investigators aim to generate 3D datasets of FFPE lung cancer tissues which will be combined with the corresponding conventional 2D histology slides. Our study will be also adequately empowered to identify particular differences in morphometric measurements according to each particular lung cancer growth pattern. Finally, this proposal aims to delineate the different 3D microanatomy and morphology of some patterns that are challenging to interpret and differentiate through traditional 2D histological evaluation, such as papillary and lepidic adenocarcinoma growth patterns. Classification of the histological subtypes based on 2D histology sections can be ambiguous, as shown by suboptimal inter-observer consensus when determining predominant histological subtypes in FFPE lung adenocarcinoma tissue specimens. Hence, micro-CT-based 3D imaging of the lung specimens could aid classification of histological subtypes by providing more comprehensive sampling of the entire tissue block and yielding detail relevant for subtype classification that might not be visible in 2D sections alone.
The OLGIM staging system is highly recommended for a comprehensive assessment of GIM severity to evaluate patients' gastric cancer risk. However, its need to take at least 4 biopsies is not clinically feasible due to a serious shortage of pathologists compared with the large number of gastric cancer screening population. We plan to develop a Digital Pathology artificial intelligence diagnosis system (DPAIDS), to automatically identify tumor areas in whole slide images(WSI) and quickly and accurately quantify the severity of intestinal metaplasia according to the proportion of intestinal metaplasia areas.
This is a retrospective review study to evaluate the histopathological findings post appendectomy
Since 1991, the Banff classification has been the gold standard for defining antibody-mediated rejection (AMR) and T-cell mediated rejection (TCMR), thereby guiding the treatment and management of transplant recipients. Starting from a pure histological approach, the classification has moved over the past three decades towards an integrated precision diagnosis system, which encompasses other expertise, such as immunology, immunogenetic, other basic sciences, biostatistics, data science, and artificial intelligence The counterpart of this constant refinement is that Banff rules are becoming complex to follow, with numerous possible scenarios leading to a high degree of inter-observer variability and misclassifications, which may lead to therapeutic consequences. The aims of this study are: 1. To integrate and decode all Banff rules and develop a computer-based application - the Banff Automation System - which provides automated and reproducible diagnoses 2. To validate the ability of the Banff Automation System to reclassify rejection diagnoses in multicenter cohort studies and clinical trials.
The EDEN study will make it possible to evaluate one or more development phases (from design to validation through optimization) of a method or a technique on voluntary subjects, in normal or pathological condition.
The diaphragm is the fundamental muscle of the respiratory system. The diaphragmatic dysfunction is present in 60% of critical patients at hospital admission and up to 80% after prolonged mechanical ventilation and difficult weaning. Risk factors associated with diaphragm dysfunction and atrophy are sepsis, trauma, sedatives, steroids, and muscle relaxants. The main pathology characteristics of diaphragm biopsies of mechanically ventilated patients are atrophy and a reduction in contractility, determining an impact on the clinical outcome. Shi et al. found a higher section area of the diaphragm muscle fiber in biopsies of post mortem COVID-19 patients versus negative patients, independently from days of mechanical ventilation. The hypothesis of our study is to identify different clusters of pathological presentation in post-mortem COVID-19 mechanically ventilated patients.
To compare the effect of vaginal brachytherapy as adjuvant treatment after operation when compared to pelvic external beam radiotherapy in patients with early endometrial cancer based on moderate risk molecules classification.
The aim of this study was to investigate the added value of contrast-enhanced ultrasound (CEUS) for differentiating low risk patients with breast nodules categorized as 4A using the Breast Imaging Reporting and Data System (BI-RADS).
This study is designed to evaluate the instrument precision of the device for its proposed intended use in sub-studies: intra-system and inter-system. The precision within a system will be evaluated on three systems by three pathologists at one site. Specific features will be selected on glass slides, which will then be scanned. On the whole slide images field of views will be created including the features. In the reading phase three pathologists will read the field of views and record which features they observe.