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Rupture of a gravid uterus is a known complication of a cesarean hysterotomy. Uterine rupture of a nongravid uterus is usually caused by trauma, instrumentation, a pelvic mass, infection, or malignancy. Spontaneous rupture of a nongravid uterus is a rare event with only 4 cases reported in the English literature since 2011. This was the case of a healthy 52-year-old woman with a remote history of 2 cesarean deliveries and an endometrial ablation. The patient presented with severe right lower-quadrant pain. The hospital evaluation revealed a hemoperitoneum, a 5 cm endometrial complex or mass, and layering of blood product along the cesarean delivery scar. Exploration confirmed a spontaneous rupture of the previous hysterotomy. The patient was treated successfully with a total abdominal hysterectomy. Pathology report confirmed the uterine wall defect. Uterine rupture in the non-gravid uterus is a rare event. Presentation may be atypical but consistent with the diagnosis. Spontaneous uterine rupture should be considered in the nongravid patient with abdominal pain and a hemoperitoneum of unclear origin.

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OBJECTIVE: The aim of this study was to determine if magnetic resonance imaging (MRI) performed with hepatobiliary phase imaging results in higher lesion conspicuity and produces lesion measurements with higher interobserver agreement than other MRI sequences when imaging neuroendocrine hepatic metastases. METHODS: Patients who had MRIs with both gadoxetate disodium and gadopentetate dimeglumine contrast within a 6-month span were identified, and 23 hepatic lesions were selected. Three radiologists and 1 oncologist measured the greatest diameter of each lesion on the following sequences: T2 weighted, T1 weighted, postcontrast (dynamic, delayed, and hepatobiliary phase), and diffusion weighted. Signal intensity ratio (SIlesion/SIliver) and contrast-to-noise ratio ([SIlesion - SIliver]/noise) were calculated for all lesions on each sequence. The interobserver agreement of measurements on each sequence was calculated using concordance correlation coefficient. RESULTS: Diffusion-weighted sequences had the highest signal intensity ratio ranging from 147% to 187% (vs other sequences range of 19.6%-130%). One hepatobiliary sequence had the highest contrast-to-noise ratio with a value of 41 (vs other sequences range of 3.2-28.1). Lesion measurements on all sequences showed high-interobserver agreement, with hepatobiliary sequences showing some of the highest levels of agreement. CONCLUSIONS: Our results support the use of contrast agents with hepatobiliary excretion when imaging neuroendocrine tumors metastatic to liver.

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RESUMEN

Additive manufacturing and bio-printing, with the potential for direct fabrication of complex patient-specific anatomies derived from medical scan data, are having an ever-increasing impact on the practice of medicine. Anatomic structures are typically derived from CT or MRI scans, and there are multiple steps in the model derivation process that influence the geometric accuracy of the printed constructs. In this work, we compare the dimensional accuracy of 3-D printed constructs of an L1 vertebra derived from CT data for an ex vivo cadaver T-L spine with the original vertebra. Processing of segmented structures using binary median filters and various surface extraction algorithms is evaluated for the effect on model dimensions. We investigate the effects of changing CT reconstruction kernels by scanning simple geometric objects and measuring the impact on the derived model dimensions. We also investigate if there are significant differences between physical and virtual model measurements. The 3-D models were printed using a commercial 3-D printer, the Replicator 2 (MakerBot, Brooklyn, NY) using polylactic acid (PLA) filament. We found that changing parameters during the scan reconstruction, segmentation, filtering, and surface extraction steps will have an effect on the dimensions of the final model. These effects need to be quantified for specific situations that rely on the accuracy of 3-D printed models used in medicine or tissue engineering applications.

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