Archives of disease in childhood · 2003
Cranial MRI scans are indicated in all girls with central precocious puberty.
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Ng S M, Kumar Y, Cody D, Smith C S, Didi M
Аннотация
AIMS: (1) To assess the value of cranial magnetic resonance imaging (MRI) scans in the investigation of girls with central precocious puberty (CPP); and (2) to determine the clinical predictors of abnormal cranial MRI scans in these patients.
METHODS: A retrospective study of 67 girls diagnosed with CPP who underwent cranial MRI scans at diagnosis. Patients with neurological signs or symptoms at presentation were excluded.
RESULTS: The mean age of onset of puberty was 6.2 years (range 2.0-7.9). Intracranial abnormalities were present in 10 (15%) patients (MR+), while 57 (85%) had no abnormalities (MR-). There was no statistical difference between MR+ patients and MR- patients at presentation with respect to age of onset of puberty, pubertal stage, bone age advance, pelvic ultrasound findings, or height or body mass index standard deviation scores (SDS).
CONCLUSION: Girls with CPP should have a cranial MRI scan as part of their assessment since clinical features, including age, are not helpful in predicting those with underlying pathology. Implementation of such an approach may have a substantial effect on clinical practice and healthcare cost.
METHODS: A retrospective study of 67 girls diagnosed with CPP who underwent cranial MRI scans at diagnosis. Patients with neurological signs or symptoms at presentation were excluded.
RESULTS: The mean age of onset of puberty was 6.2 years (range 2.0-7.9). Intracranial abnormalities were present in 10 (15%) patients (MR+), while 57 (85%) had no abnormalities (MR-). There was no statistical difference between MR+ patients and MR- patients at presentation with respect to age of onset of puberty, pubertal stage, bone age advance, pelvic ultrasound findings, or height or body mass index standard deviation scores (SDS).
CONCLUSION: Girls with CPP should have a cranial MRI scan as part of their assessment since clinical features, including age, are not helpful in predicting those with underlying pathology. Implementation of such an approach may have a substantial effect on clinical practice and healthcare cost.