Publications by authors named "Alexander C Kagen"

Preoperative vascular imaging has been shown to be beneficial before free tissue transfer procedures, especially for deep inferior epigastric perforator flap breast reconstruction. Although computerized tomography angiography and magnetic resonance angiogram are increasingly frequently performed, there is no standardized method for recording, analyzing, and communicating the vast amount of clinically relevant information that is obtained from these tomographic imaging studies. Herein, the authors propose a new visual language system for preoperative imaging called "FlapMap," which allows for the creation of a clinically actionable, easily understood, and easily communicated single image that aids in preoperative planning before microvascular free tissue transfer.

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Article Synopsis
  • - The study explores the effectiveness of deep learning models utilizing electrocardiogram (ECG) data to improve the specificity of screening for pulmonary embolism (PE), addressing the issue of overusing computed tomography pulmonary angiograms (CTPAs).
  • - Researchers built a cohort of over 21,000 patients and developed three predictive models: one based on ECG data, one on electronic health records (EHR), and a Fusion model combining both, finding the Fusion model significantly outperformed the others in PE detection accuracy.
  • - The findings suggest that integrating ECG waveforms with clinical data can enhance the specificity and overall performance in detecting PE, offering a potential improvement over traditional clinical risk scoring methods.
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Aims: Lymphoepithelioma-like carcinomas (LELCs) are uncommon epithelial cancers characteristically showing two distinct components consisting of malignant epithelial cells and prominent dense lymphoid infiltrate. Hepatic LELCs consist of two types, the lymphoepithelioma-like hepatocellular carcinoma and lymphoepithelioma-like cholangiocarcinoma (LEL-CCA), with the latter being strongly associated with Epstein-Barr virus (EBV).

Methods And Results: We present a series of three cases of intrahepatic biliary EBV-associated LEL tumours in which the biliary epithelial component showed a distinctly benign appearance, instead of the usual malignant epithelial features of a typical CCA or EBV-associated LEL-CCA.

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As modern abdominal imaging equipment advances, pancreatic lesion detection improves. Most of these lesions are incidental, and present a conundrum to the clinician and create great anxiety to the patient until a final diagnosis is made. For the practicing physician, the plethora of diagnostic options is overwhelming.

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TensorFlow is a second-generation open-source machine learning software library with a built-in framework for implementing neural networks in wide variety of perceptual tasks. Although TensorFlow usage is well established with computer vision datasets, the TensorFlow interface with DICOM formats for medical imaging remains to be established. Our goal is to extend the TensorFlow API to accept raw DICOM images as input; 1513 DaTscan DICOM images were obtained from the Parkinson's Progression Markers Initiative (PPMI) database.

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Purpose: To assess the diagnostic value of a fast scoring system based on non-invasive cross-sectional imaging to predict portal hypertension (PH) in patients with liver disease.

Methods: In this retrospective study, we included patients who underwent contrast-enhanced CT or MRI within 3 months of hepatic venous pressure gradient (HVPG) measurements. Two independent observers provided an imaging-based scoring system (max of 9): number of variceal sites, volume of ascites, and spleen size.

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Advances in microsurgical techniques have improved autologous reconstructions by providing new donor site options while decreasing donor site morbidity. Various preoperative imaging modalities have been studied to assess the relevant vascular anatomic structures, with magnetic resonance (MR) angiography traditionally lagging behind computed tomography (CT) with respect to spatial resolution. Blood pool MR angiography with gadofosveset trisodium, a gadolinium-based contrast agent with extended intravascular retention, has allowed longer multiplanar acquisitions with resultant voxel sizes similar to or smaller than those of CT and with improved signal-to-noise ratio and soft-tissue contrast while maintaining the ability to depict flow with time-resolved imaging.

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Introduction: Aggressive angiomyxoma (AAM) is a rare, benign mass with propensity for local invasion and recurrence after resection. Infrequently, this tumor can be found arising from the scrotum or cord structures in males.

Aim/methods: A case report is presented followed by a review of relevant literature addressing the diagnosis, imaging, management and follow-up for aggressive angiomyxoma of the scrotum.

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Purpose: To prospectively evaluate comfort and image quality of prostate MRI using two different endorectal (ER) coils.

Materials And Methods: Thirty consecutive patients were prospectively randomized to receive prostate MRI using either a prostate endocoil (PEC) or colorectal endocoil (CEC). Patients and operators were surveyed with regard to endocoil placement.

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Synopsis of recent research by authors named "Alexander C Kagen"

  • - Alexander C Kagen's recent research prominently focuses on enhancing preoperative imaging techniques and developing innovative diagnostic tools across various medical specialties, particularly in vascular imaging and machine learning applications.
  • - Kagen introduced the "FlapMap" visual language system designed to efficiently communicate complex vascular imaging data, specifically improving the preoperative planning process for microvascular free tissue transfer procedures.
  • - His work also includes the development of machine learning models utilizing ECG signals to improve acute pulmonary embolism screening, highlighting the integration of advanced computational methods in routine clinical workflows to enhance diagnostic specificity.