The Value of Machine Learning-based Radiomics Model Characterized by PET Imaging with Ga-FAPI in Assessing Microvascular Invasion of Hepatocellular Carcinoma.

Rationale And Objectives: This study aimed to develop a radiomics model characterized by Ga-fibroblast activation protein inhibitors (FAPI) positron emission tomography (PET) imaging to predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC). This study also investigated the impact of varying thresholds for maximum standardized uptake value (SUV) in semi-automatic delineation methods on the predictions of the model.

Methods: This retrospective study included 84 HCC patients who underwent Ga-FAPI PET and their MVI results were confirmed by histopathological examination.

Preoperative Prediction of Her-2 and Ki-67 Status in Gastric Cancer Using F-FDG PET/CT Radiomics Features of Visceral Adipose Tissue.

Immunohistochemistry (IHC) is the main method to detect human epidermal growth factor receptor 2 (Her-2) and Ki-67 expression levels. However, IHC is invasive and cannot reflect their expression status in real-time. This study aimed to build radiomics models based on visceral adipose tissue (VAT)'s F-fluorodeoxyglucose (F-FDG) positron emission tomography/computed tomography (PET/CT) imaging, and to evaluate the relationship between radiomics features of VAT and positive expression of Her-2 and Ki-67 in gastric cancer (GC).

Comparative study of imaging and pathology of primary mucinous adenocarcinoma with different imaging manifestations.

Background: Pulmonary mucinous adenocarcinoma is a special type of lung cancer. Its imaging manifestations are diverse, which brings challenges to clinical diagnosis. However, its formation mechanism is unclear.

Transdermal permeability of triamcinolone acetonide lipid nanoparticles.

Background: Triamcinolone acetonide (TAA) is an effective and the most commonly used corticosteroid hormone for the treatment of hypertrophic scars (HSs). However, the clinically used dosage has poor tissue permeability and injection safety. By contrast, lipid nanoparticles (LNPs) have the advantage of high affinity for the skin.