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Abdominal hemorrhage and vascular fragility associated with neurofibromatosis type 1.

Jpn J Radiol

January 2025

Department of Radiology, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu, Oita, 879-5593, Japan.

We report a case of recurrent abdominal bleeding associated with vascular fragility in a 67-year-old woman with neurofibromatosis type 1 (NF-1). Computed tomography (CT) scan revealed hemorrhagic ascites and a pseudoaneurysm of the sigmoid colon artery, which was suspected to be the source of bleeding. Emergency laparotomy confirmed extremely fragile vessels, requiring repeated surgeries for recurrent bleeding.

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Purpose: To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.

Materials And Methods: Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF.

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CT angiography of acute aortic syndrome in patients with chronic kidney disease.

Int J Cardiovasc Imaging

January 2025

Department of Clinical Radiology, AHEPA University Hospital of Thessaloniki, Aristotle University of Thessaloniki, Thessaloniki, Greece.

The term acute aortic syndrome (AAS) refers to a range of different entities, including dissection, intramural haematoma and penetrating atherosclerotic ulcer. Patients with chronic renal disease and particularly those with dominant polycystic kidney disease are susceptible to this pathology, given the underlying renal arteriopathy and hypertension. Imaging plays a crucial role in diagnosing, grading and guiding management of these patients, with computed tomography angiography (CTA) being on the frontline.

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Parkinson's disease (PD), a degenerative disorder of the central nervous system, is commonly diagnosed using functional medical imaging techniques such as single-photon emission computed tomography (SPECT). In this study, we utilized two SPECT data sets (n = 634 and n = 202) from different hospitals to develop a model capable of accurately predicting PD stages, a multiclass classification task. We used the entire three-dimensional (3D) brain images as input and experimented with various model architectures.

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Background And Purpose: Lobar intracerebral hemorrhage (ICH) is associated with a high risk of recurrence, particularly in elderly patients, where cerebral amyloid angiopathy (CAA) is often the primary cause. Diagnostic markers of CAA-related ICH, including subarachnoid hemorrhage (SAH) and finger-like projection (FLP), have recently been developed. Here, we aimed to explore the associations between SAH, FLP and the risk of ICH recurrence in lobar ICH patients.

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