ABSTRACT
Primary aldosteronism is a group of disorders in which the autonomous secretion of aldosterone is associated with hypertension and hypokalemia. It is crucial to determine the laterality of aldosterone hypersecretion because treatment options differ accordingly. Adrenal venous sampling (AVS) is considered the most reliable method for assessing the laterality of primary aldosteronism. This procedure is often technically challenging because of the small size and varied locations of the adrenal veins. A better understanding of anatomical variations and careful review of imaging studies would improve sampling success. This report presents three cases of anatomical variations encountered during AVS.
ABSTRACT
Isolated left-sided portal hypertension is a rare clinical syndrome caused by splenic veno-occlusive disease. Splenic vein thrombosis and extrinsic compression causes proximal splenic vein hypertension, and the splenic blood flows into the superior mesenteric or portal vein through the upper stomach's collateral vessels, such as the short gastric, coronary, and gastroepiploic veins. Open splenectomy is recommended to treat gastrointestinal bleeding caused by isolated left-sided portal hypertension. Interventional management could be a clinically useful option for selected patients who want to avoid surgical corrections. The report presents two cases of left-sided portal hypertension with gastric variceal bleeding.
ABSTRACT
It is difficult to detect multiple myeloma (MM) infiltration of the bone marrow on computed tomography (CT) scans of patients with osteopenia. Our aim is to determine the feasibility of using radiomics analysis to detect MM infiltration of the bone marrow on CT scans of patients with osteopenia. The contrast-enhanced thoracic CT scans of 104 patients with MM and 104 age- and sex-matched controls were retrospectively evaluated. All individuals had decreased bone density on radiography. The study group was divided into development (n = 160) and temporal validation sets (n = 48). The radiomics model was developed using 805 texture features extracted from the bone marrow for a development set, using a Random Forest algorithm. The developed models were applied to evaluate a temporal validation set. For comparison, three radiologists evaluated the CTs for the possibility of MM infiltration in the bone marrow. The diagnostic performances were assessed and compared using an area under the receiver operating characteristic curve (AUC) analysis. The AUC of the radiomics model was not significantly different from those of the radiologists (p = 0.056-0.821). The radiomics analysis results showed potential for detecting MM infiltration in the bone marrow on CT scans of patients with osteopenia.
