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To report the clinical course of patients with ocular inflammatory disease treated with adalimumab in whom anti-adalimumab antibodies (AAA) were detected. Single center case series. Eight patients with initial response to adalimumab developed a disease flare associated with positive AAA testing after 5 to 76 months of therapy. Six patients were receiving no concurrent antimetabolite therapy at the time of AAA diagnosis and four had a temporary lapse in adalimumab therapy prior to AAA discovery. AAA resulted in undetectable drug levels in five of the seven patients for whom data were available, and adalimumab was discontinued in six of the eight patients. Of two patients continued on adalimumab, one maintained detectable serum adalimumab despite AAA and one had a low AAA titer. For patients receiving adalimumab for ocular inflammatory disease, a disease flare in the setting of previously well-controlled disease should prompt consideration of AAA testing. [ABSTRACT FROM AUTHOR]

A 29-year-old man with a history of abdominal pain and skeletal lesions sought medical attention for a new diagnosis of lymphocytic hypophysitis. During the workup, it was discovered that he had Erdheim Chester disease (ECD), a rare condition characterized by the enlargement of the pituitary gland and infundibulum. Instead of proceeding with a pituitary biopsy, the patient underwent an excisional biopsy of a conjunctival lesion, which confirmed the diagnosis of ECD. The patient was then started on combination therapy with a MEK inhibitor and an IL-1 receptor antagonist, which led to an improvement in symptoms. [Extracted from the article]

We present a case of spontaneous nontraumatic retrobulbar hemorrhage associated with anti-coagulation therapy and a new diagnosis of scurvy. A 68-year-old male on chronic anti-coagulation therapy presented with a retrobulbar hemorrhage requiring urgent canthotomy and cantholysis. Despite the absence of a supratherapeutic INR and normal clotting factors, the patient continued to have spontaneous hemorrhages within the orbit and elsewhere. Workup revealed a severe vitamin C deficiency consistent with scurvy. Further investigation of dietary history demonstrated an avoidance of all citrus fruit upon starting warfarin due to misunderstanding in medication counseling on avoidance of grapefruit. With repletion of vitamin C and further medication counseling, the patient had no further episodes of spontaneous hemorrhage. [ABSTRACT FROM AUTHOR]

Objective . Both computed tomography (CT) and magnetic resonance imaging (MRI) images are acquired for high-dose-rate (HDR) prostate brachytherapy patients at our institution. CT is used to identify catheters and MRI is used to segment the prostate. To address scenarios of limited MRI access, we developed a novel generative adversarial network (GAN) to generate synthetic MRI (sMRI) from CT with sufficient soft-tissue contrast to provide accurate prostate segmentation without MRI (rMRI). Approach . Our hybrid GAN, PxCGAN, was trained utilizing 58 paired CT-MRI datasets from our HDR prostate patients. Using 20 independent CT-MRI datasets, the image quality of sMRI was tested using mean absolute error (MAE), mean squared error (MSE), peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM). These metrics were compared with the metrics of sMRI generated using Pix2Pix and CycleGAN. The accuracy of prostate segmentation on sMRI was evaluated using the Dice similarity coefficient (DSC), Hausdorff distance (HD) and mean surface distance (MSD) on the prostate delineated by three radiation oncologists (ROs) on sMRI versus rMRI. To estimate inter-observer variability (IOV), these metrics between prostate contours delineated by each RO on rMRI and the prostate delineated by treating RO on rMRI (gold standard) were calculated. Main results . Qualitatively, sMRI images show enhanced soft-tissue contrast at the prostate boundary compared with CT scans. For MAE and MSE, PxCGAN and CycleGAN have similar results, while the MAE of PxCGAN is smaller than that of Pix2Pix. PSNR and SSIM of PxCGAN are significantly higher than Pix2Pix and CycleGAN (p < 0.01). The DSC for sMRI versus rMRI is within the range of the IOV, while the HD for sMRI versus rMRI is smaller than the HD for the IOV for all ROs (p ≤ 0.03). Significance . PxCGAN generates sMRI images from treatment-planning CT scans that depict enhanced soft-tissue contrast at the prostate boundary. The accuracy of prostate segmentation on sMRI compared to rMRI is within the segmentation variation on rMRI between different ROs., (© 2023 Institute of Physics and Engineering in Medicine.)