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A thrombus straddling a patent foramen ovale (TSPFO) is a rare condition that presents significant health risks, including stroke or myocardial infarction, and can be life-threatening if not promptly addressed. We report the case of a 42-year-old female with morbid obesity who presented with sudden shortness of breath due to a bilateral pulmonary embolism. Imaging revealed a thrombus extending from the right atrium to the left atrium through the patent foramen ovale (PFO).
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Department of Cardiovascular Surgery, Shonan Kamakura General Hospital, Kamakura-shi, Kanagawa, Japan.
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Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY, USA.
This study evaluates the efficacy of deep learning models in identifying infarct tissue on computed tomography perfusion (CTP) scans from patients with acute ischemic stroke due to large vessel occlusion, specifically addressing the potential influence of varying noise reduction techniques implemented by different vendors. We analyzed CTP scans from 60 patients who underwent mechanical thrombectomy achieving a modified thrombolysis in cerebral infarction (mTICI) score of 2c or 3, ensuring minimal changes in the infarct core between the initial CTP and follow-up MR imaging. Noise reduction techniques, including principal component analysis (PCA), wavelet, non-local means (NLM), and a no denoising approach, were employed to create hemodynamic parameter maps.
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