Endoscopic endonasal transpterygoid trans lacero-cavernous resection of Knosp 4 functioning pituitary macroadenoma.

In this video, we demonstrate the technique of endoscopic transpterygoid trans lacerum trans cavernous approach for the excision of Knosp 4 functioning pituitary macroadenomas. We highlight the anatomy and key steps of the approach using cadaveric dissection and present two clinical cases. A 42-year-old female with a growth hormone-secreting tumor and Knosp 4 macroadenoma underwent an extended endoscopic endonasal approach and near-total excision of the tumor.

Impact of Structured Reporting of Skeletal Survey in Skeletal Dysplasia: A Single Institution Experience.

 Structured reporting has the advantages of reducing ambiguity in written radiology reports with greater uniformity and comparability of reports amongst different institutes. It has multiple facets: structured format, structured content, and standardized language. While structured reporting initiative has been used in various radiology subspecialties such as oncology, cardiothoracic, abdominal and interventional radiology; skeletal dysplasia is a domain that remains largely untouched by this concept.

An open-label non-inferiority randomised control trial comparing nebulised amphotericin B with oral itraconazole in patients with pulmonary aspergilloma.

Background: Pulmonary aspergilloma (PA) is a common complication seen in patients with pulmonary tuberculosis sequelae. Antifungal therapy, including oral azoles, is commonly used though only surgical resection offers curative benefit. Local administration of amphotericin B, like intracavitary instillation, has been effective in aspergilloma patients though nebulised amphotericin B (nAB) has never been formally assessed.

Spine radiograph in dysplasias: A pictorial essay.

Spine radiograph is an essential component of a skeletal survey. It provides important diagnostic clues to various types of skeletal dysplasia. In some conditions, a spine radiograph alone may be diagnostic and characteristic; but mostly, it yields more value as a part of the complete skeletal survey.

Artificial Intelligence-assisted chest X-ray assessment scheme for COVID-19.

Objectives: To study whether a trained convolutional neural network (CNN) can be of assistance to radiologists in differentiating Coronavirus disease (COVID)-positive from COVID-negative patients using chest X-ray (CXR) through an ambispective clinical study. To identify subgroups of patients where artificial intelligence (AI) can be of particular value and analyse what imaging features may have contributed to the performance of AI by means of visualisation techniques.

Methods: CXR of 487 patients were classified into [4] categories-normal, classical COVID, indeterminate, and non-COVID by consensus opinion of 2 radiologists.