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Background. Noninvasive assessment of acute myocardial infarction (AMI) requires information about both myocardial perfusion and left ventricular (LV) function. The automated quantification of electrocardiographic-gated myocardial scintigraphy with technetium-99m tetrofosmin (QGS) can provide this information. Methods and Results. Coronary arteriography, QGS, and left ventriculography (LVG) were performed in 229 patients with reperfused AMI within 2 days after onset. All infarcted vascular territories (229 segments) were visualized with scintigraphic perfusion images. The mean wall motion score (WMS) was 15.9 ± 2.8 by means of QGS and 16.3 ± 2.9 by means of LVG. The correlation between WMS obtained by means of QGS and that obtained by means of LVG was close (y = 0.913x + 1.016, r = 0.94, P < .001), but that obtained by means of QGS was significantly lower than that obtained by means of LVG (P < .0001). Total agreement for the assessment of regional wall motion reached 75% (kappa, 0.66). Although the LV values obtained by means of QGS and LVG correlated well (end-diastolic volume, r = 0.67, P < .0001; end-systolic volume, r = 0.79,P < .0001; ejection fraction, r = 0.78, P < .0001), end-diastolic volume and ejection fraction tended to be underestimated with QGS. Conclusion. QGS data were considered to be useful in detecting infarcted vascular territory and LV function, even in AMI, within 2 days after onset. (J Nucl Cardiol 2000;7:569-74.)

Objective: The aim of this study was to assess the utility of^sup 201^Tl SPECT in the differential diagnosis of intracranial tumors and to determine the relationship between^sup 201^Tl uptake and histological types.Methods: Thirty-eight patients (19 males and 19 females) with thirty-eight brain tumors were evaluated with^sup 201^Tl-SPECT. The early and delayed^sup 201^Tl uptake ratio was calculated, and the retention index (RI) was applied as follows; RI=delayed uptake ratio/early uptake ratio.Results: The RI of malignant tumors was higher (0.72±0.18) than that of benign tumors (0.50±0.16) and the difference was statistically significant (p=0.00045). The difference between high-grade glioma (0.80±0.15) and metastatic tumors (0.64±0.19) was statistically significant (p=0.039).Conclusion: ^sup 201^Tl-SPECT may add useful biochemical information and could differentiate malignant brain tumors from benign lesions, but the RI of metastatic tumors varied depending on the organs with the primary lesion and histological types.[PUBLICATION ABSTRACT]

The aim of this study was to assess the utility of 201Tl SPECT in the differential diagnosis of intracranial tumors and to determine the relationship between 201Tl uptake and histological types. Thirty-eight patients (19 males and 19 females) with thirty-eight brain tumors were evaluated with 201Tl-SPECT. The early and delayed 201Tl uptake ratio was calculated, and the retention index (RI) was applied as follows; RI = delayed uptake ratio/early uptake ratio. The RI of malignant tumors was higher (0.72 +/- 0.18) than that of benign tumors (0.50 +/- 0.16) and the difference was statistically significant (p = 0.00045). The difference between high-grade glioma (0.80 +/- 0.15) and metastatic tumors (0.64 +/- 0.19) was statistically significant (p = 0.039). 201Tl-SPECT may add useful biochemical information and could differentiate malignant brain tumors from benign lesions, but the RI of metastatic tumors varied depending on the organs with the primary lesion and histological types.

We studied whether a computer‐assisted system using a combination of data collection by image analysis and analysis by neural networks can differentiate benign and malignant breast lesions. Forty‐six intraductal lesions of the breast were studied by pathologists and by the computer‐assisted system. Histological evaluation was performed independently by three pathologists, and the lesions were classified into pathologically malignant (n= 12), undetermined (n= 13), and benign (n=21). Computerized nuclear image analysis was performed using the CAS200 (Cell Analysis Systems, Elmhurst, IL) system to obtain data on nuclear morphometric and textural features. A neural network was constructed using the morphometric and texture data obtained from teaching cases of malignant and benign lesions. Then data for unknown cases were classified by the constructed neural network into neural network‐malignant (n= 11), ‐undetermined (n= 5), and ‐benign (n = 30). The agreement rate between the diagnosis by pathologists and judgement by the computer‐assisted system was 75%, excluding pathologically undetermined lesions. There were four false‐negative but no false‐positive results. False‐negative cases had nuclei that were quite different from those of the teaching cases. The agreement rate obtained using either morphometric data or texture data only was lower than that using a combination of both. Selection of appropriate teaching data and incorporation of both morphometric and textural parameters seemed important for obtaining more accurate results. The present data suggest that development of a computer‐assisted histopathological diagnosis system for practical use may be possible.

Objective: The aim of this study was to assess the utility of super(201)Tl SPECT in the differential diagnosis of intracranial tumors and to determine the relationship between super(201)Tl uptake and histological types. Methods: Thirty-eight patients (19 males and 19 females) with thirty-eight brain tumors were evaluated with super(201)Tl-SPECT. The early and delayed super(201)Tl uptake ratio was calculated, and the retention index (RI) was applied as follows; RI=delayed uptake ratio/early uptake ratio. Results: The RI of malignant tumors was higher (0.72c0.18) than that of benign tumors (0.50c0.16) and the difference was statistically significant (p=0.00045). The difference between high-grade glioma (0.80c0.15) and metastatic tumors (0.64c0.19) was statistically significant (p=0.039). Conclusion: super(201)Tl-SPECT may add useful biochemical information and could differentiate malignant brain tumors from benign lesions, but the RI of metastatic tumors varied depending on the organs with the primary lesion and histological types.

Objective: The aim of this study was to assess the utility ofTl SPECT in the differential diagnosis of intracranial tumors and to determine the relationship betweenTl uptake and histological types.Methods: Thirty-eight patients (19 males and 19 females) with thirty-eight brain tumors were evaluated withTl-SPECT. The early and delayedTl uptake ratio was calculated, and the retention index (RI) was applied as follows; RI=delayed uptake ratio/early uptake ratio.Results: The RI of malignant tumors was higher (0.72-0.18) than that of benign tumors (0.50-0.16) and the difference was statistically significant (p=0.00045). The difference between high-grade glioma (0.80-0.15) and metastatic tumors (0.64-0.19) was statistically significant (p=0.039).Conclusion: Tl-SPECT may add useful biochemical information and could differentiate malignant brain tumors from benign lesions, but the RI of metastatic tumors varied depending on the organs with the primary lesion and histological types.