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Bowel diseases of prematurity, including necrotizing enterocolitis, are dreaded ailments of neonates. Early diagnosis is difficult, with clinical and radiographic findings often inconclusive. We present a novel use of contrast-enhanced ultrasound in detection of pediatric bowel disease. Early identification of compromised blood flow or an at-risk bowel can be quantitatively detected and monitored. This ability has implications for guidance of emerging therapies, allowing targeting of inflammation. These findings represent an advancement in detection of bowel disease in neonates.  相似文献   
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Treatment decisions in patients with metastatic bone disease rely on accurate survival estimation. We developed the original PATHFx models using expensive, proprietary software and now seek to provide a more cost-effective solution. Using open-source machine learning software to create PATHFx version 2.0, we asked whether PATHFx 2.0 could be created using open-source methods and externally validated in two unique patient populations. The training set of a well-characterized, database records of 189 patients and the bnlearn package within R Version 3.5.1 (R Foundation for Statistical Computing), was used to establish a series of Bayesian belief network models designed to predict survival at 1, 3, 6, 12, 18, and 24 months. Each was externally validated in both a Scandinavian (n = 815 patients) and a Japanese (n = 261 patients) data set. Brier scores and receiver operating characteristic curves to assessed discriminatory ability. Decision curve analysis (DCA) evaluated whether models should be used clinically. DCA showed that the model should be used clinically at all time points in the Scandinavian data set. For the 1-month time point, DCA of the Japanese data set suggested to expect better outcomes assuming all patients will survive greater than 1 month. Brier scores for each curve demonstrate that the models are accurate at each time point. Statement of Clinical Significance: we successfully transitioned to PATHFx 2.0 using open-source software and externally validated it in two unique patient populations, which can be used as a cost-effective option to guide surgical decisions in patients with metastatic bone disease.  相似文献   
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ObjectiveDetermine the prevalence of intimate partner violence (IPV) as a mechanism of traumatic ocular injury in women, typical injury patterns, and the clinical course of affected patients. Encourage IPV screening and safety assessment in patients presenting with characteristic ocular trauma.MethodsMedical records of 211 female patients with traumatic ocular injuries evaluated at the University of Iowa Hospitals and Clinics between January 1995 and January 2015 were reviewed to determine the rate of IPV as a mechanism of ocular trauma. Twenty-one patients were excluded due to no documented trauma.ResultsLeading causes of traumatic ocular injuries in the 190 female patients included were accidental trauma with an inanimate object (n = 70/190, 36.8%), falls (n = 52/190, 27.4%), motor vehicle collisions (n = 21/190, 11.1%), and assault (n = 16/190, 8.4%). In 2.1% of cases (n = 4/190), no mechanism of traumatic injury was documented. Assault was the fourth leading mechanism of injury accounting for 8.4% of cases (n = 16/190), with IPV accounting for more than one third of cases with a documented perpetrator (n = 5/13). No perpetrator was documented in 18.8% (n = 3/16). All 5 patients with IPV-related injuries sustained scleral laceration or rupture; 4 out of 5 patients had no light perception vision and ultimately required enucleation.ConclusionIPV is an important mechanism of traumatic ocular injury. IPV-associated injuries tend to be severe in nature, as demonstrated by the high rate of globe laceration or rupture and subsequent enucleation in the study population. By appropriate screening and referral, ophthalmologists have an opportunity to redirect a potentially devastating course.  相似文献   
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