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Biomedical subjects

T Tango

Publications and source records attributed to T Tango.

28 records · Page 2Linked to original sources
PubMed1986

Lymphocyte subsets identified by monoclonal antibodies in healthy children.

The distributions of lymphocyte subsets and monocytes in the peripheral blood mononuclear leukocytes of 72 normal children from 2 months to 13 5/12 yr were examined using quantitative immunofluorescence analysis with monoclonal antibodies. Distinct decreases with age were found in the total leukocyte counts, the percentages and the absolute numbers of peripheral blood mononuclear leukocytes. The percentages of Leu-2a+ cells, Leu-7+ cells, and Leu-M3+ cells significantly increased with age, whereas the percentages of Leu-3a+ cells, Leu-4+ cells, and 2H7+ cells significantly decreased with age. As a result, ratios of Leu-3a+/Leu-2a+ decreased with age. No prominent differences with age were found in the proportions of Leu-10+ cells and HLA-DR+ cells.

Adolescent↗
PubMed1986

[The normal range of cerebral atrophy during aging: 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.

Aging↗
PubMed1985

[A quantitative study of brain atrophy on computed tomography--multivariate analysis for comparison between the linear measurement method and the pixel count method].

We previously reported the newly developed quantitative measurement of the cerebral atrophy. The data indicated that the volume of the cerebrospinal fluid not always gradually increases during the life course but remains relatively constant until age 50 and thereafter increases with a wide variation. Though the technique, which is called the pixel count method, is highly quantitative, it is quite troublesome as it needs the computer to count out each pixels. On the other hand, the linear measurement method is easier than the pixel count method, but is far less quantitative. We examined seventy four subjects using both the linear measurement method and the pixel count method, and compared them by means of the multivariant analysis. Three different linear measurement methods were selected by the stepwise multiple regression analysis, those are B (distance between the caudate nuclei), E (greatest distance between the lateral ventricles at the level of the cella media) and G (number of visible sulci whose width are more than 3.1 mm at the level of 3 cm above the corpus callosum). B and E were calibrated by the maximum internal width of the skull (H). The highest correlation was achieved with a formula employing these parameters as follows; y = 42.66 X B/H + 12.52 X E/H + 0.232 X G - 2.92 (y means the estimated value of the CCR (CSF-cranial ratio), which is obtained by dividing the CSF volume by the cranial cavity). Multiple correlation coefficient was 0.76, and was statistically significant (p less than 0.001). The authors emphasized that using this formula we can easily predict CCR as the index of the brain atrophy without any computer.

Adult↗
PubMedDate not supplied

Estimation of normal ranges of clinical laboratory data.

This paper proposes a new procedure for estimating normal ranges of clinical laboratory tests, which can be applied to data with possibly more than one outlier from healthy subjects. The proposed procedure determines the optimal model among a class of models in which it is assumed that an observed distribution of 'normal values' can be transformed to the Gaussian form by one of several specified transformations, and if there exist outliers among the data, then each of the transformed outliers also follows a Gaussian distribution with different mean from, but the same variance as, the transformed distribution of normal values. The optimal model is defined as the best combination of the transformation to normality and the number of outliers identified, and is selected by the Akaike information criterion (AIC). Our procedure is illustrated with data from 200 healthy male subjects on 25 laboratory tests.

Adult↗