Pituitary Metastasis of Non-Small Cell Lung Cancer With High FDG Uptake on PET/CT Pituitary Metastasis of Non-Small Cell Lung Carcinoma.

ABSTRACT: Pituitary metastasis is a rare event, and the pituitary gland is an uncommonly involved location in patients with intracranial metastases as it accounts for only approximately 2% of malignant metastases. Here, the authors present the 18F-FDG PET study of a very rare case of relapsed non-small cell lung cancer, locally and with 1 pituitary metastasis, in a 75-year-old White woman with asthenia and diabetes insipidus. 18F-FDG PET and cerebral MRI were performed to guide the therapeutic strategy due to an atypical pituitary high FDG avidity.

Case Report: Two Rare Cases of Complete Metabolic Response to Crizotinib in Patients With Rearranged ROS1 and ALK Metastatic Non-small Lung Cancer.

Crizotinib is a tyrosine kinase inhibitor (TKI) indicated in first-line treatment of rearranged c-ros oncogene 1 (ROS1) and anaplastic lymphoma kinase (ALK) metastatic non-small-cell lung cancer (NSCLC). However, the common response reported after treatment is partial and few complete responses have been reported in PROFILE studies with computed tomography (CT) evaluation. To date, only one case report of complete metabolic response on 2-deoxy-2-[18F] fluoro-D-glucose positron emission tomography-computed tomography (18F-FDG-PET/CT) was published, reporting on a patient with ROS1 rearranged NSCLC. We highlighted the 18F-FDG-PET/CT useful approach for therapeutic assessment of TKI in metastatic mutated NSCLC reporting two complete metabolic responses in patients treated with crizotinib for a rearranged ROS1 and a metastatic ALK NSCLC.

Solitary Breast Metastasis From Thyroid Papillary Carcinoma Revealed on Whole-Body Radioactive 131I Scan.

Breast metastasis from thyroid papillary carcinoma is an exceptional situation. Here, we present the diagnostic approach and the management of a 19-year-old woman with single breast metastasis from thyroid carcinoma. There was no extra thyroidal extension, neoplastic emboli, or lymph node invasion. The metastasis was revealed by whole-body radioactive I scan, explored by a fine-needle aspiration, and confirmed by elevated thyroglobulin in situ.

Brain 123I-FP-CIT SPECT of a Holmes Tremor Due to Midbrain Pilocytic Astrocytoma.

A 24-year-old woman with an unresectable right mesencephalic pilocytic astrocytoma was treated with stereotaxic radiation therapy. Three months after a radiation therapy-induced bleeding, she presented a severe disabling low frequency rest and kinetic tremor involving the left upper limb, associated with dystonia, and a Holmes tremor was suspected. Thereby, we performed a I-FP-CIT SPECT (DATSCAN) that revealed a normal distribution of radiotracer over the left striatum, whereas no binding was seen in the right caudate and putamen. This pattern was consistent with a right severe nigrostriatal dopaminergic denervation due to an ipsilateral red nucleus injury.

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study.

Delineation of organs at risk (OARs) is a crucial step in surgical and treatment planning in brain cancer, where precise OARs volume delineation is required. However, this task is still often manually performed, which is time-consuming and prone to observer variability. To tackle these issues a deep learning approach based on stacking denoising auto-encoders has been proposed to segment the brainstem on magnetic resonance images in brain cancer context. Additionally to classical features used in machine learning to segment brain structures, two new features are suggested. Four experts participated in this study by segmenting the brainstem on 9 patients who underwent radiosurgery. Analysis of variance on shape and volume similarity metrics indicated that there were significant differences (p<0.05) between the groups of manual annotations and automatic segmentations. Experimental evaluation also showed an overlapping higher than 90% with respect to the ground truth. These results are comparable, and often higher, to those of the state of the art segmentation methods but with a considerably reduction of the segmentation time.