Simmons, Curtis

AbstractThe vascular system is an intricate system that develops during early periods of embryogenesis. Through a complex signaling pathway of vasculogenesis and angiogenesis, embryonic vessels grow and coalesce, which allows nutrient and waste management. Dysfunction in these endothelial cells gives rise to vascular variants. Throughout gestational development, vascular variants can form in different organ systems such as the thoracic cavity, hepatic, renal, and lower pelvis. It is clinically very important for physicians to recognize these variants, as these variants can predispose to certain illnesses and treatment of patients surgically. This article discusses the embryology and vascular variants of the arterial system with a focus on the thoracic cavity, hepatic, renal, and pelvic variations to help aid in minimizing technical complications during procedures.

AbstractAn in-depth understanding of portal venous anatomy, particularly its variants, is essential for interventional radiologists performing complex hepatobiliary procedures such as transjugular intrahepatic portosystemic shunt (TIPS) creation. Anatomical variations in the portal venous system occur in approximately 35% of the population, and failure to identify these variants can result in significant procedural complications including vascular injury and postprocedural liver failure. This article discusses the most common (types I–V) portal vein variants and the importance of their preprocedural identification, their potential impact on procedural outcomes, and the role of advanced imaging techniques in mitigating risks associated with these anatomical variations.

Abstract Buffered lidocaine is a local anesthetic option during percutaneous needle-directed procedures in the breast. At our institution, sodium bicarbonate (the buffer) is dispensed in volumes that frequently lead to medical waste and shortages. In this study, we describe how moving the buffering of lidocaine from the procedure room to our clinical hospital pharmacy results in a reduction in costs and improves satisfaction across the breast radiology department. While cost savings are difficult to tease out in practices that opt for bundled payments, we were able to access pricing and supply data and coordinate with our pharmacy to change our practice. Making these changes saves our practice $26 000 a year and allows us to continue to offer buffered lidocaine even during sodium bicarbonate shortages. This manuscript describes how these changes came about and their economic impact.

Objective: The purpose of this study is to assess the outcomes of symptomatic and asymptomatic solitary dilated ducts detected on mammography, ultrasound, and MRI. Methods: All cases of isolated solitary dilated ducts between January 1, 2009 and December 31, 2016 in non-lactating females were reviewed. Clinical data, including patient’s age, breast cancer history, and pathology results were collected. Imaging was reviewed, and indication for the exam, breast density, maximum diameter of the dilated duct on ultrasound, presence of an intraductal mass, presence of intraductal vascularity, presence of intraductal echogenicity, and subareolar or peripheral location of the dilated duct were recorded. Results: 87 cases of solitary dilated ducts were assessed in this study, of which 3 were malignant, resulting in a positive predictive value of 3.5% (3/87). No malignancy was identified in asymptomatic screening patients. The three malignant cases were seen in patients presenting with a palpable lump (n = 1) or bloody nipple discharge (n = 2). There was a statistically significant association observed between the dilated duct diameter (p = 0.049) and presence of intraductal vascularity (p = 0.0005) with presence of malignancy. Conclusion: Rate of malignancy is low in solitary dilated ducts, especially among asymptomatic patients. Patient’s presenting with clinical symptoms, larger dilated duct diameters, and/or intraductal vascularity may require additional evaluation including biopsy to exclude malignancy. Advances in knowledge: Clinical and imaging factors can assist in better identifying patients with solitary dilated ducts who should undergo biopsy.

BackgroundThere is no accurate method distinguishing different types of pulmonary nodules.PurposeTo investigate whether multiparametric 3T MRI biomarkers can distinguish malignant from benign pulmonary nodules, differentiate different types of neoplasms, and compare MRI‐derived measurements with values from commonly used noninvasive imaging modalities.Study TypeProspective.SubjectsSixty‐eight adults with pulmonary nodules undergoing resection.SequencesRespiratory triggered diffusion‐weighted imaging (DWI), periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) fat saturated T2‐weighted imaging, T1‐weighted 3D volumetric interpolated breath‐hold examination (VIBE) using CAIPIRINHA (controlled aliasing in parallel imaging results in a higher acceleration).Assessment/StatisticsApparent diffusion coefficient (ADC), T1, T2, T1 and T2 normalized to muscle (T1/M and T2/M), and dynamic contrast enhancement (DCE) values were compared with histology to determine whether they could distinguish malignant from benign nodules and discern primary from secondary malignancies using logistic regression. Predictability of primary neoplasm types was assessed using two‐sample t‐tests. MRI values were compared with positron emission tomography / computed tomography (PET/CT) to examine if they correlated with standardized uptake value (SUV) or CT Hounsfield unit (HU). Intra‐ and interreader agreements were assessed using intraclass correlations.ResultsForty‐nine of 74 nodules were malignant. There was a significant association between ADC and malignancy (odds ratio 4.47, P < 0.05). ADC ≥1.3 μm2/ms predicted malignancy. ADC, T1, and T2 together predicted malignancy (P = 0.003). No MRI parameter distinguished primary from metastatic neoplasms. T2 predicted PET positivity (P = 0.016). T2 and T1/M correlated with SUV (P < 0.05). Of 18 PET‐negative malignant nodules, 12 (67%) had an ADC ≥1.3 μm2/ms. With the exception of T2, all noncontrast MRI parameters distinguished adenocarcinomas from carcinoid tumors (P < 0.05). T1, T2, T1/M, and T2/M correlated with HU and therefore can predict nodule density. Combined with ADC, washout enhancement, arrival time (AT), peak enhancement intensity (PEI), Ktrans, Kep, Ve collectively were predictive of malignancy (P = 0.012). Combined washin, washout, time to peak (TTP), AT, and PEI values predicted malignancy (P = 0.043). There was good observer agreement for most noncontrast MRI biomarkers.Data ConclusionMRI can contribute to pulmonary nodule analysis. Multiparametric MRI might be better than individual MRI biomarkers in pulmonary nodule risk stratification.Level of Evidence: 1Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2018.