Toshiro Tango

The Normal Range of the Cerebral Atrophy During Aging: The statistical analysis of 500 normal subjects

We previously reported the newly developed quantitative measurement of the cerebral atrophy (pixel count method), and advocated the value CCR (CSF-cranial ratio) as the index of the volumetric measurement of the cerebral atrophy. As the pixel count method is somewhat troublesome, we tried to compare the various linear measurement methods with pixel count method by means of multivariant analysis, and reported a single formula to calculate CCR from the linear measurement methods. Now we studied 500 normal subjects using the pixel count method and examined the normal range of the cerebral atrophy during aging by means of the maximum likelihood method. The normal range was estimated as follows; 0.32 less than y less than 5.78 (t less than 48), 0.068 t--2.944 less than y less than 0.368 t--11.884 (t greater than 48). Using these formula and this newly reported normal range, we can easily predict whether the cerebral atrophy is pathological or not.

ON THE OPTIMIZATION OF PATHOPHYSIOLOGICAL STATE-RECOGNITION BASED UPON MULTIPLE LABORATORY DATA

This paper proposes the use of two dimensional display of pathophysiological state of patients based upon the results of discriminant analysis using multiple laboratory data in order to recognize the state of patients objectively and visually. To this purpose we studied pathophysiological states of patients with gout and patients with diabetes mellitus in contrast with states of healthy subjects and derived several state-planes which gives optimal representations on differences between disease states. It is worth noting that these three groups(gout, diabetes mellitus and healthy subjects)were clustered well into three groups on this sort of plane without disease-specific parameters, i. e., serum uric acid level to gout and serum glucose level to diabetes mellitus.