Clinical validation of 3D virtual modelling for laparoscopic complete mesocolic excision with central vascular ligation for proximal colon cancer.

Introduction: Laparoscopic Complete Mesocolic Excision (CME) with Central Vascular Ligation (CVL) in colon cancer surgery has not been broadly adopted in part because of safety concerns. Pre-operative 3-D virtual modelling (3DVM) may help but needs validation.

Methods: 3DVM were routinely constructed from CT mesenteric angiograms (CTMA) using a commercial service (Visible Patient, Strasbourg, France) for consecutive patients during our CMECVL learning curve over three years.

Probing the mechanism of guest-framework bonding interactions through a first-principles study on the structural and electronic properties of type-II clathrate A Si (A = Na, K, Rb; 0 ≤ ≤ 24) under pressure.

The role of noncovalent bonding, including multiatomic interactions (van der Waals-like forces) and ionic characteristics, in the intermetallic clathrate A Si (A = Na, K, Rb; 0 < ≤ 24) is qualitatively discussed. Using the local density approximation (LDA) to density functional theory (DFT), we investigated the effect of different guest filling and pressure parameters on the structural and electronic properties of these materials. In the context of the rigid-band model, we first noted that the competition between van der Waals-like multiatomic interactions and ionicity due to the extent of charge transfer responsible for guest-framework complexes accounts for the nonmonotonic structural response upon guest filling in A Si (0 ≤ ≤ 8), which is in good agreement with previous experimental findings as well as theoretical predictions.

Fifteen-minute consultation: Management of albuminuria in children and young people with diabetes.

Albuminuria is a marker of diabetic kidney disease. Raised albuminuria in children and young people with diabetes is associated with an increased risk of microvascular and macrovascular complications. This review provides guidance for paediatricians caring for children and young people with type 1 and type 2 diabetes on screening, investigations and treatments for albuminuria in line with relevant national and international recommendations.

A divide and conquer approach to maximise deep learning mammography classification accuracies.

Breast cancer claims 11,400 lives on average every year in the UK, making it one of the deadliest diseases. Mammography is the gold standard for detecting early signs of breast cancer, which can help cure the disease during its early stages. However, incorrect mammography diagnoses are common and may harm patients through unnecessary treatments and operations (or a lack of treatment).