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Bankier, Alexander

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Bankier

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Alexander

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Bankier, Alexander
Author's Publications: search.filters.isAuthorOfPublication.4588d0e7-09e3-411f-9e57-fa31d0c1604d

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    Insights into Imaging of Aortitis
    (Springer-Verlag, 2012) Litmanovich, Diana; Yıldırım, Afra; Bankier, Alexander
    Background: Aortitis is a subtype of the more general term “vasculitis”, an inflammatory condition of infectious or noninfectious origin involving the vessel wall. The term “vasculitis” refers to a broad spectrum of diseases with different aetiologies, pathophysiologies, clinical presentations and prognoses. The clinical manifestations are nonspecific, as are the laboratory findings such as pain, fever, weight loss, vascular insufficiency and elevated levels of acute phase reactants, as well as other systemic manifestations, and sometimes may mimic other entities. Thus, if not suspected as part of the initial differential diagnosis, aortitis can be overlooked during the workup of patients with constitutional symptoms and systemic disorders. Methods: Imaging is rarely used for the primary diagnosis, but imaging findings, although nonspecific, can help in the assessment of these patients and is often required for making the final diagnosis. Imaging can be critical in the initiation of appropriate management and therapy. Results: Noninvasive cross-sectional imaging modalities such as contrast-enhanced CT, magnetic resonance (MR) imaging, nuclear medicine and in particular positron emission tomography (PET) are the leading modalities in modern diagnostic imaging of aortitis for both the initial diagnosis and follow-up. Conclusion: This review focusses on the most common manifestations of aortitis with which radiologists should be familiar.
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    Software-based risk stratification of pulmonary adenocarcinomas manifesting as pure ground glass nodules on computed tomography
    (Springer Berlin Heidelberg, 2017) Nemec, Ursula; Heidinger, Benedikt H.; Anderson, Kevin R.; Westmore, Michael S.; Vanderlaan, Paul; Bankier, Alexander
    Objectives: To assess the performance of the “Computer-Aided Nodule Assessment and Risk Yield” (CANARY) software in the differentiation and risk assessment of histological subtypes of lung adenocarcinomas manifesting as pure ground glass nodules on computed tomography (CT). Methods: 64 surgically resected and histologically proven adenocarcinomas manifesting as pure ground-glass nodules on CT were assessed using CANARY software, which classifies voxel-densities into three risk components (low, intermediate, and high risk). Differences in risk components between histological adenocarcinoma subtypes were analysed. To determine the optimal threshold reflecting the presence of an invasive focus, sensitivity, specificity, negative predictive value, and positive predictive value were calculated. Results: 28/64 (44%) were adenocarcinomas in situ (AIS); 26/64 (41%) were minimally invasive adenocarcinomas (MIA); and 10/64 (16%) were invasive ACs (IAC). The software showed significant differences in risk components between histological subtypes (P<0.001–0.003). A relative volume of 45% or less of low-risk components was associated with histological invasiveness (specificity 100%, positive predictive value 100%). Conclusions: CANARY-based risk assessment of ACs manifesting as pure ground glass nodules on CT allows the differentiation of their histological subtypes. A threshold of 45% of low-risk components reflects invasiveness in these groups. Key points • CANARY-based risk assessment allows the differentiation of their histological subtypes. • 45% or less of low-risk component reflects histological invasiveness. • CANARY has potential role in suspected adenocarcinomas manifesting as pure ground-glass nodules. Electronic supplementary material The online version of this article (doi:10.1007/s00330-017-4937-2) contains supplementary material, which is available to authorized users.