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Query: UMLS:C0085693 (acute appendicitis)
 3,606 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Several cases of appendicitis after blunt abdominal trauma have been reported in the literature. A 41-year-old man on a cruise ship began to experience acute abdominal pain several hours after cliff diving from a 20-ft height and landing hard against the water on his right side. The patient's symptoms were treated and he remained on the ship until its scheduled arrival in port 2 days later. In the emergency department, a bedside extended Focused Assessment with Sonography in Trauma (eFAST) examination showed no evidence of free fluid in the abdominal cavity, pericardial effusion, or pneumothorax. Next, an ultrasound of the right lower quadrant was performed, which revealed a 1.06 cm, noncompressible appendix consistent with appendicitis. Although physical examination remains the gold standard for evaluation of the acute abdomen, the presentation of acute appendicitis is historically unreliable and delays in its diagnosis can result in significant increases in morbidity and mortality. Ultrasonography has been shown to have clear value in the evaluation of the acute abdomen. It is the authors' opinion that ultrasonography may have an unrealized potential as a diagnostic tool for traumatic appendicitis in the trauma bay and as a triage tool for the cruise ship physician who must evaluate a patient with traumatic abdominal pain and determine the need for medical evacuation.
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PMID:Posttraumatic appendicitis: further extending the extended Focused Assessment with Sonography in Trauma examination. 2190 42

The goal of this study was to develop and validate text-mining algorithms to automatically identify radiology reports containing critical results including tension or increasing/new large pneumothorax, acute pulmonary embolism, acute cholecystitis, acute appendicitis, ectopic pregnancy, scrotal torsion, unexplained free intraperitoneal air, new or increasing intracranial hemorrhage, and malpositioned tubes and lines. The algorithms were developed using rule-based approaches and designed to search for common words and phrases in radiology reports that indicate critical results. Certain text-mining features were utilized such as wildcards, stemming, negation detection, proximity matching, and expanded searches with applicable synonyms. To further improve accuracy, the algorithms utilized modality and exam-specific queries, searched under the "Impression" field of the radiology report, and excluded reports with a low level of diagnostic certainty. Algorithm accuracy was determined using precision, recall, and F-measure using human review as the reference standard. The overall accuracy (F-measure) of the algorithms ranged from 81% to 100%, with a mean precision and recall of 96% and 91%, respectively. These algorithms can be applied to radiology report databases for quality assurance and accreditation, integrated with existing dashboards for display and monitoring, and ported to other institutions for their own use.
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PMID:Automated detection of critical results in radiology reports. 2203 14