Simple Summary Radiogenomics is a promising new approach in cancer assessment,
providing an evaluation of the molecular basis of imaging phenotypes after establishing …

Cancer is a leading cause of death worldwide, the early diagnosis of which decides the
patient's prognosis. The accurate sensing of tumor biomarkers is becoming one of the most …

In many low-income countries, the poor availability of lung biopsy leads to delayed
diagnosis of lung cancer (LC), which can appear radiologically similar to tuberculosis (TB) …

Background Digital subtraction angiography (DSA) is an important technique for diagnosis
of moyamoya disease (MMD) or moyamoya syndrome (MMS), and computed tomography …

Objectives: To investigate whether lesion imaging features may condition the outcome of CT-
guided lung biopsy (CTLB) and to develop a scoring system of biopsy outcome prediction …

Purpose Stereotactic body radiotherapy (SBRT) is a key treatment modality for lung cancer
patients. This study aims to develop a machine learning-based prediction model of complete …

Objectives: Radiomics and machine learning are innovative approaches to improve the
clinical management of NSCLC. However, there is less information about the additive value …

Background To establish and verify a radiomics nomogram for differentiating isolated
micronodular adrenal hyperplasia (iMAD) from lipid-poor adenoma (LPA) based on …

Purpose We aimed to compare the diagnostic yield and procedure-related complications of
two different types of systems for percutaneous CT-guided lung biopsy. Material and …

Background The purpose of this study was to evaluate the value of quantitative assessment
of intratumoral 2-deoxy-2-[18 F] fluoro-D-glucose (2-[18 F] FDG) metabolic spatial …