Background: Autoimmune hypophysitis is a rare disease with a natural progression that is not well known. Aim: To collect representative data on clinical features of autoimmune hypophysitis and better characterize the disease. Patients and Methods: A prospective single-center study was designed. Autoimmune hypophysitis-affected patients evaluated from 2011 at our tertiary care Pituitary Unit were enrolled. After ruling out other pituitary masses and secondary causes of hypophysitis, autoimmune hypophysitis was the diagnosis of exclusion. Autoimmune hypophysitis was classified as adenohypophysitis, panhypophysitis, and infundibuloneurohypophysitis according to clinical and neuroradiological findings. Results: A total of 21 patients met the inclusion criteria: 9 were diagnosed with adenohypophysitis, 4 with panhypophysitis, and 8 with infundibuloneurohypophysitis. The frequency of secondary hypoadrenalism was similar in adenohypophysitis, panhypophysitis, and infundibuloneurohypophysitis. Growth hormone deficit and secondary hypogonadism occurred more frequently in infundibuloneurohypophysitis than in adenohypophysitis and panhypophysitis (p = 0.009; p = 0.04). All cases of multiple pituitary secretion deficits occurred in cases of infundibuloneurohypophysitis (p = 0.04). No correlations between hypophysitis subtype and anti-pituitary and anti-hypothalamus autoantibodies were found. A higher frequency of extractable nuclear antigens (ENA) and anti-nuclear antibodies (ANA) was found in cases of panhypophysitis (OR 5.0, 95% CI 0.86-28.8, p < 0.001, and OR 1.8, 95% CI 1.1-3.2, p = 0.02, respectively) as compared to adenohypophysitis and infundibuloneurohypophysitis. Conclusion: Infundibuloneurohypophysitis should be taken into account in the etiological diagnosis of hypopituitarism, particularly if it is associated with diabetes insipidus and in cases of growth hormone deficit, secondary hypogonadism, or multiple hormone deficits. Contrast-enhanced MRI is crucial for the clinical and noninvasive diagnosis of hypophysitis. Screening for autoantibodies, particularly anti-ENA and anti-ANA, is strongly suggested in the clinical context of hypophysitis.
Introduction: This study investigates whether the middle frontal gyrus (MFG) can be used as an indicator for language hemispheric dominance in brain tumor patients using task-free resting state fMRI (rsfMRI). We hypothesize no significant difference in language lateralization between the MFG and Broca’s Area (BA) and that the MFG can serve as a simple and reliable means of measuring language laterality. Methods: 51 patients with glial neoplasms. Using rsfMRI, the MFG was compared to BA for voxel activation, language laterality index (LI) and the effect of tumor grade on LI. LI derived by rsfMRI and task-based fMRI was compared in a subset of 40 patients. Results: Voxel activations in the left MFG and left BA were positively correlated (r = 0.47, p<0.001). Positive correlations were seen between the LI of BA and LI of MFG regions (r = 0.56, p < 0.0005). 27/40 patients (67.5%) showed concordance of LI based on BA using rsfMRI with LI based on a language task. 30/40 patients (75%) showed concordance of LI based on the MFG using rsfMRI with LI based on a language task. Conclusion: MFG is comparable to BA in its ability to determine hemispheric dominance for language using rsfMRI. Our results suggest the addition of rsfMRI of MFG to the list of noninvasive modalities that could be used in glioma patients to evaluate hemispheric dominance of language prior to tumor resection. In patients who cannot participate in traditional task-based fMRI, rsfMRI offers a task-free alternate to presurgically map eloquent cortex.
The reprogramming of cellular metabolism is a hallmark of cancer diagnosis and prognosis. Proton magnetic resonance spectroscopic imaging (MRSI) is a non-invasive diagnostic technique for investigating brain metabolism to establish cancer diagnosis and IDH gene mutation diagnosis as well as facilitate pre-operative planning and treatment response monitoring. By allowing tissue metabolism to be quantified, MRSI provides added value to conventional MRI. MRSI can generate metabolite maps from a single volume or multiple volume elements within the whole brain. Metabolites such as NAA, Cho and Cr, as well as their ratios Cho:NAA ratio and Cho:Cr ratio, have been used to provide tumor diagnosis and aid in radiation therapy planning as well as treatment assessment. In addition to these common metabolites, 2-hydroxygluterate (2HG) has also been quantified using MRSI following the recent discovery of IDH mutations in gliomas. This has opened up targeted drug development to inhibit the mutant IDH pathway. This review provides guidance on MRSI in brain gliomas, including its acquisition, analysis methods, and evolving clinical applications.
The exact elucidation of skeletal and cartilagineous involvement in neonatal-onset multisystem inflammatory disease (NOMID) is still poorly known, and there are few data providing the long-term response to treatment with the available interleukin-1 inhibitors. We present here a 13-year-old boy with NOMID treated with anakinra and low-dose methylprednisolone since he was 7 years old for an overall period of 6 years. Every clinical manifestation was highly responsive to interleukin-1 blockade, with the exception of his bone abnormalities. At the comparison of radiography and magnetic resonance imaging of his knees made respectively at 7 and 13 years, we noticed a bone erosion on the posterior surface of the patella combined with the progression of distal femoral overgrowth and endosteal thinning of both meta-epiphyses. This report must encourage clinicians in a precocious institution of interleukin-1 antagonists to thwart the occurrence of irreversible bone changes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.