Multiple brown tumors: a bone complication due to long-term untreated pseudohypoparathyroidism.

Bone lytic lesions are a possible complication of pseudohypoparathyroidism type 1B, in undertreated adult patients. Whole body [18F] F-fluorocholine PET/CT is a useful imaging tool to assess brown tumor progression in this context. We describe the case of a 33-year-old woman, referred for the diagnostic evaluation of lytic bone lesions of the lower limbs, in the context of asymptomatic pseudohypoparathyroidism. She had been treated with alfacalcidol and calcium during her childhood. Treatment was discontinued at the age of 18 years old because of the lack of symptoms. A femur biopsy revealed a lesion rich in giant cells, without malignancy, consistent with a brown tumor. Laboratory tests showed a parathyroid level at 1387 pg/ml (14-50). Whole-body Fluorocholine PET/CT revealed hypermetabolism of bone lesions. The final diagnosis was brown tumors related to hyperparathyroidism complicating an untreated pseudohypoparathyroidism. Genetic testing confirmed PHP type 1B. Pseudohypoparathyroidism with radiographic evidence of hyperparathyroid bone disease, is a very rare condition due to parathyroid hormone resistance in target organs, i.e., kidney resistance, but with conserved bone cell sensitivity. It has been reported in only a few cases of pseudohypoparathyroidism type Ib. Long-term vitamin D treatment was required to correct bone hyperparathyroidism. With this rationale, the patient was treated with calcium, alfacalcidol, and cholecalciferol. One-year follow-up showed complete resolution of pain, improvement in serum calcium, and regression of bone lesions on [18F]F-fluorocholine PET/CT. This case illustrates the usefulness of [18F]F-fluorocholine PET/CT for the imaging of brown tumors in pseudohypoparathyroidism type 1B, and emphasizes the importance of calcium and vitamin D treatment in adult patients, to avoid the deleterious effects of high parathyroid hormone on skeletal integrity.

Variational approach for edge-preserving regularization using coupled PDE's.

This paper deals with edge-preserving regularization for inverse problems in image processing. We first present a synthesis of the main results we have obtained in edge-preserving regularization by using a variational approach. We recall the model involving regularizing functions phi and we analyze the geometry-driven diffusion process of this model in the three-dimensional (3-D) case. Then a half-quadratic theorem is used to give a very simple reconstruction algorithm. After a critical analysis of this model, we propose another functional to minimize for edge-preserving reconstruction purposes. It results in solving two coupled partial differential equations (PDEs): one processes the intensity, the other the edges. We study the relationship with similar PDE systems in particular with the functional proposed by Ambrosio-Tortorelli in order to approach the Mumford-Shah functional developed in the segmentation application. Experimental results on synthetic and real images are presented.