Morphological and Functional Neuroradiology of Brain Metastases.

Neuroimaging plays a key role in the diagnosis and differentiation of brain metastases (BM) in patients with known or unknown malignancies. Computed tomography and magnetic resonance imaging are the key imaging modalities used in the detection of BM. Advanced imaging techniques including proton magnetic resonance spectroscopy, magnetic resonance perfusion, diffusion weighted imaging, and diffusion tensor imaging may aid in arriving at the correct diagnosis, in particular cases, such as newly diagnosed solitary enhancing brain lesions in patients without known malignancy.

Lung Cancer Imaging: Screening Result and Nodule Management.

Lung cancer (LC) represents the main cause of cancer-related deaths worldwide, especially because the majority of patients present with an advanced stage of the disease at the time of diagnosis. This systematic review describes the evidence behind screening results and the current guidelines available to manage lung nodules. This review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines.

Advancement in Diagnostic Imaging of Thymic Tumors.

Thymic tumors are rare neoplasms even if they are the most common primary neoplasm of the anterior mediastinum. In the era of advanced imaging modalities, such as functional MRI, dual-energy CT, perfusion CT and radiomics, it is possible to improve characterization of thymic epithelial tumors and other mediastinal tumors, assessment of tumor invasion into adjacent structures and detection of secondary lymph nodes and metastases. This review aims to illustrate the actual state of the art in diagnostic imaging of thymic lesions, describing imaging findings of thymoma and differential diagnosis.

Quantitative imaging decision support (QIDS) tool consistency evaluation and radiomic analysis by means of 594 metrics in lung carcinoma on chest CT scan.

Objective: To evaluate the consistency of the quantitative imaging decision support (QIDS) tool and radiomic analysis using 594 metrics in lung carcinoma on chest CT scan.

Materials And Methods: We included, retrospectively, 150 patients with histologically confirmed lung cancer who underwent chemotherapy and baseline and follow-ups CT scans. Using the QIDS platform, 3 radiologists segmented each lesion and automatically collected the longest diameter and the density mean value.