Surgical and oncological implications of the presence of hepatic artery anatomical variations in patients undergoing pancreaticoduodenectomy: a single center experience.

The presence of an aberrant right hepatic artery (a-RHA) could influence the oncological and postoperative outcomes after pancreaticoduodenectomy (PD). A comparative study was conducted, including patients who underwent PD with a-RHA or with normal RHA anatomy. The primary endpoints were R1 resection in all margins (pancreatic, anterior, posterior, superior mesenteric artery, and portal groove), overall survival (OS), and disease-free survival (DFS).

Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine.

Objectives: To determine whether deep learning-based reconstructions of zero-echo-time (ZTE-DL) sequences enhance image quality and bone visualization in cervical spine MRI compared to traditional zero-echo-time (ZTE) techniques, and to assess the added value of ZTE-DL sequences alongside standard cervical spine MRI for comprehensive pathology evaluation.

Methods: In this retrospective study, 52 patients underwent cervical spine MRI using ZTE, ZTE-DL, and T2-weighted 3D sequences on a 1.5-Tesla scanner.

CompositIA: an open-source automated quantification tool for body composition scores from thoraco-abdominal CT scans.

Background: Body composition scores allow for quantifying the volume and physical properties of specific tissues. However, their manual calculation is time-consuming and prone to human error. This study aims to develop and validate CompositIA, an automated, open-source pipeline for quantifying body composition scores from thoraco-abdominal computed tomography (CT) scans.

Acute appendicitis and its treatment: a historical overview.

Purpose: Acute appendicitis (AA) is the leading cause of acute abdomen worldwide, with an incidence of 90-100 cases per 100,000 individuals annually and a lifetime risk of 7-12%. Despite its prevalence, historical accounts of AA are limited, particularly when compared to conditions like haemorrhoids, likely due to the appendix's internal location. This article traces the historical evolution of AA treatment from ancient times to the present, highlighting key contributions.

The hype around ctDNA guiding an informed perioperative therapeutic strategy in early-stage non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) remains a dire disease being the first cause of cancer death among both genders. Early-stage NSCLC often has better treatment outcomes despite it being a highly heterogeneous disease. So far, the neo-adjuvant chemotherapy strategies have led to a small benefit with an improvement of 5% in overall survival as an absolute benefit.

Imaging of elbow entrapment neuropathies.

Entrapment neuropathies at the elbow are common in clinical practice and require an accurate diagnosis for effective management. Understanding the imaging characteristics of these conditions is essential for confirming diagnoses and identifying underlying causes. Ultrasound serves as the primary imaging modality for evaluating nerve structure and movement, while MRI is superior for detecting muscle denervation.

ESR Essentials: imaging of common paediatric pulmonary diseases-practice recommendations by the European Society of Paediatric Radiology.

Chest imaging in children presents unique challenges due to varying requirements across age groups. For chest radiographs, achieving optimal images often involves careful positioning and immobilisation techniques. Antero-posterior projections are easier to obtain in younger children, while lateral decubitus radiographs are sometimes used when expiratory images are difficult to obtain and for free air exclusion.

Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.

Background: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores the use of GANs to generate synthetic sagittal radiographs from coronal views in AIS patients.

Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic.

Objectives: This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.

Materials And Methods: We involved eight residents evaluating 150 CXRs in three scenarios: no AI, on-demand AI, and integrated-AI. The considered task was the assessment of a multi-regional severity score of lung compromise in patients affected by COVID-19.

Effectiveness and patient satisfaction with the new sildenafil oral suspension formulation compared to sildenafil oro-dispersible film: a real-life study.

Sildenafil is one of the most used phosphodiesterase type 5 inhibitor (PDE5i) for the treatment of erectile dysfunction (ED) in clinical practice. A new oral suspension formulation (OSF) of sildenafil has been introduced to overcome the drawbacks of previous formulations. We assess the efficacy and patients' experience with sildenafil 50 mg OSF in men with ED who were taking the sildenafil oro-dispersible film (ODF).

Medical management pathways for Cushing's disease in pituitary tumors centers of excellence (PTCOEs).

Purpose: A recent update of consensus guidelines for the management of Cushing's disease (CD) included indications for medical therapy. However, there is limited evidence regarding their implementation in clinical practice. This study aimed to evaluate current medical therapy approaches by expert pituitary centers through an audit conducted to validate the criteria of Pituitary Tumors Centers of Excellence (PTCOEs) and provide an initial standard of medical care for CD.

Hallmark discoveries in the biology of non-Wilms tumour childhood kidney cancers.

Approximately 20% of paediatric and adolescent/young adult patients with renal tumours are diagnosed with non-Wilms tumour, a broad heterogeneous group of tumours that includes clear-cell sarcoma of the kidney, congenital mesoblastic nephroma, malignant rhabdoid tumour of the kidney, renal-cell carcinoma, renal medullary carcinoma and other rare histologies. The differential diagnosis of these tumours dates back many decades, when these pathologies were identified initially through clinicopathological observation of entities with outcomes that diverged from Wilms tumour, corroborated with immunohistochemistry and molecular cytogenetics and, subsequently, through next-generation sequencing. These advances enabled near-definitive recognition of different tumours and risk stratification of patients.

Evaluation of the Digital Ventilated Cage® system for circadian phenotyping.

The study of circadian rhythms has been critically dependent upon analysing mouse home cage activity, typically employing wheel running activity under different lighting conditions. Here we assess a novel method, the Digital Ventilated Cage (DVC, Tecniplast SpA, Italy), for circadian phenotyping. Based upon capacitive sensors mounted under black individually ventilated cages with inbuilt LED lighting, each cage becomes an independent light-controlled chamber.

Global meta-analysis shows action is needed to halt genetic diversity loss.

Mitigating loss of genetic diversity is a major global biodiversity challenge. To meet recent international commitments to maintain genetic diversity within species, we need to understand relationships between threats, conservation management and genetic diversity change. Here we conduct a global analysis of genetic diversity change via meta-analysis of all available temporal measures of genetic diversity from more than three decades of research.

fragSMILES as a chemical string notation for advanced fragment and chirality representation.

Generative models have revolutionized de novo drug design, allowing to produce molecules on-demand with desired physicochemical and pharmacological properties. String based molecular representations, such as SMILES (Simplified Molecular Input Line Entry System) and SELFIES (Self-Referencing Embedded Strings), have played a pivotal role in the success of generative approaches, thanks to their capacity to encode atom- and bond- information and ease-of-generation. However, such 'atom-level' string representations could have certain limitations, in terms of capturing information on chirality, and synthetic accessibility of the corresponding designs.

Sucrose-preferring gut microbes prevent host obesity by producing exopolysaccharides.

Commensal bacteria affect host health by producing various metabolites from dietary carbohydrates via bacterial glycometabolism; however, the underlying mechanism of action remains unclear. Here, we identified Streptococcus salivarius as a unique anti-obesity commensal bacterium. We found that S.

Prediction of mortality in heart failure by machine learning. Comparison with statistical modeling.

Background: Assessing the relative performance of machine learning (ML) methods and conventional statistical methods in predicting prognosis in heart failure (HF) still remains a challenging research field.

Methods: The primary outcome was three-year mortality. The following 5 machine learning approaches were used for modeling: Random Forest (RF), Gradient Boosting, Extreme Gradient Boosting (XGBoost), Support Vector Machine, and Multilayer perceptron.

Recurrence after surgery for clear cell and papillary renal cell carcinoma: Head-to head comparison of validated risk scores.

Introduction: The American Urology Association (AUA) recently introduced in their guidelines a subtype-agnostic, 4-tiered risk classification score to assess oncologic outcomes after surgery in patients with localized renal cell carcinoma (RCC). We provide a head-to-head comparison of the AUA score with 3, internationally validated and EAU recommended, histological-specific models.

Materials And Methods: We retrieved from a prospectively-maintained database 2,560 surgically-treated patients with localized RCC in a single high-volume European center (1987-2023).

Comparative effectiveness, safety and persistence of ocrelizumab versus natalizumab in multiple sclerosis: A real-world, multi-center, propensity score-matched study.

Ocrelizumab (OCR) and Natalizumab (NTZ) are highly effective treatments widely used in Multiple Sclerosis (MS). However, long-term, real-world comparative data on clinical effectiveness, safety and treatment persistence are limited. This retrospective analysis included relapsing and progressive MS patients initiating treatment at two Italian Universities ("La Sapienza" and "Federico II").

A Systematic Review and Meta-analysis of the Clinical Impact of Prophylactic Quinolones with Adjuvant Bacillus Calmette-Guérin Instillation for Non-muscle-invasive Bladder Cancer.

Background And Objective: Bacillus Calmette-Guérin (BCG) reduces disease recurrence and progression in intermediate- and high-risk non-muscle-invasive bladder cancer (NMIBC). BCG-associated adverse events during instillations are common, leading to treatment cessation. Prophylactic use of quinolones in conjunction with BCG instillations is one approach for reducing BCG-associated adverse events.