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PURPOSE The purpose of the present study is to evaluate the clinical value of dual-time-point F-18 FDG PET/CT imaging to differentiate malignant lymphoma (ML) from benign lymph node (BLN). MATERIALS AND METHODS The subjects were 310 lymph nodes in 84 patients (195 ML lesions in 30 patients and 115 BLN in 54 patients associated with various etiologies.).(More)
This study aimed to determine clinical association between quantitative hepatic uptake on postablative whole-body scan (WBS) with differentiated thyroid cancer (DTC) prognosis. We analyzed 541 scans of 216 DTC patients who were divided into 3 groups based on radioactive iodine (I-131) WBS uptake and clinical follow-up: group 1 (completion of ablation),(More)
UNLABELLED The aim of this study was to identify the brain areas that control urinary continence in healthy men by 99mTc-hexamethylpropyleneamine oxime (99mTc-HMPAO) SPECT. METHODS SPECT scans were performed on 15 right-handed healthy male volunteers, 24-45 y old. Each subject was scanned twice without movement in a supine position, and 444 and 555 MBq(More)
OBJECTIVE To identify the brain areas that control bladder storage by technetium-99m hexamethylpropyleneamine oxime single-photon emission computed tomography (SPECT) with the Neurological Statistical Image Analysis software (NEUROSTAT) in patients with detrusor overactivity (DO). METHODS SPECT scans were performed on 19 patients with DO. Eight patients(More)
  • Junichi Sato
  • 2005
The purpose of this study was to construct Jung's Psychological Types Scale (JPTS), and to examine its reliability and validity. First, 87 pairs of items were written, and their content validity examined by two Jungian analysts, who judged 74 pairs of them to be appropriate. In Study 1 542 undergraduates, 245 men and 297 women, responded to the interim(More)
Understanding social relationships plays an important role in smooth information sharing and project management. Recently, extracting social relationships from activity sensor data has gained popularity, and many researchers have tried to detect close relationship pairs based on the similarities between activity sensor data, namely, unsupervised approaches.(More)
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