PubMed · 11638843
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H Wurm, M Nimax. 1998. [Not Available].. https://pubmed.ncbi.nlm.nih.gov/11638843/
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We report on a pair of dizygotic twins born to consanguineous parents, showing an extreme delay in skeletal maturation (roughly corresponding to the time of birth at the age of 4 10/12 years), mild metaphyseal irregularities, and normal to large stature (+ 1 to + 2 SD) with normal growth pattern, long fingers, generalized small joint hyperlaxity with flat feet, genua valga, and low normal intellectual development. This disorder was not associated with abnormal endocrine function or abnormal Ca/P metabolism. This epiphyseal disorder is compatible with autosomal recessive inheritance.
Craniospinal radiation therapy for treatment of brain tumors may result in growth hormone (GH) insufficiency with resultant linear growth retardation, one of the most common complications. We report the case of a 10-year-old boy presenting headache associated to vertigo, nausea and vomiting. A CT scan showed an homogeneous mass in the left cerebelar hemisphere, that was surgically removed. The histopathological examination revealed medulloblastoma and the patient was submitted to craniospinal radiation. He did not present tumor recurrence nor neurological or cognitive deficits during 4 years, but evolved to short stature due to GH deficiency. Nowadays, he is being receiving GH 0,1 U/kg/day and has presented 4cm stature increment after 6 months. The present case highlights the importance in carefully monitoring of children after cranial radiation for oncologic treatment, because they may develop hormonal deficiencies, that can be successfully replaced.
Techniques for estimation of an individual's height, weight, body mass index (BMI), and body surface area (BSA) with a single abdominal computed tomographic (CT) image were developed. Eighty-seven abdominal CT examinations performed in adult humans were analyzed. Anatomic structures were outlined on the CT section that included L1. Multiple linear regression analysis was used to derive sex-specific predictive equations. Correlation for height was good (r > 0.65). Relationship between predicted weight and actual weight was good (r > 0.93). For BMI and BSA, r was greater than 0.893 and greater than 0.895, respectively. In this study, predictive equations for height, weight, BMI, and BSA were generated.