Publications by authors named "Takuya Moriyama"

Article Synopsis
  • High B-type natriuretic peptide (BNP) levels are linked to higher detection rates of new atrial fibrillation (AF) in patients with cryptogenic stroke (CS).
  • A study involving 266 patients revealed that those with high BNP levels (≥48.5 pg/mL) had a significantly higher AF detection rate of 53.7% per year compared to only 13.3% in the low-BNP group (≤19.0 pg/mL).
  • The optimal BNP cutoff for predicting AF detection was identified as 43.4 pg/mL, highlighting a notable association between BNP levels and AF occurrence in these patients.
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Objective: We report a case of acute middle cerebral artery (MCA) occlusion caused by tumor embolism.

Case Presentation: A 64-year-old man with lung cancer presented with sudden onset left-sided hemiparesis and sensory disturbance. Diffusion-weighted imaging (DWI) revealed hyper-intense foci in the right MCA territory and magnetic resonance angiography (MRA) demonstrated right MCA M2 segment occlusion.

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Objective: Intravenous (IV) recombinant tissue plasminogen activator (rt-PA) and mechanical thrombectomy (MT) are effective treatments for acute ischemic stroke (AIS). However, the treatment for AIS in pregnancy is not established because no clinical trials have included pregnant patients. We present a case of middle cerebral artery (MCA) M2 segment occlusion in pregnancy treated with IV thrombolysis and endovascular therapy.

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Motivation: Detection of somatic mutations from tumor and matched normal sequencing data has become among the most important analysis methods in cancer research. Some existing mutation callers have focused on additional information, e.g.

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Detection of somatic mutations from tumor and matched normal sequencing data has become a standard approach in cancer research. Although a number of mutation callers have been developed, it is still difficult to detect mutations with low allele frequency even in exome sequencing. We expect that overlapping paired-end read information is effective for this purpose, but no mutation caller has modeled overlapping information statistically in a proper form in exome sequence data.

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