Objective: Natural language processing (NLP) can generate diagnoses codes from imaging reports. Meanwhile, the International Classification of Diseases (ICD-10) codes are the United States' standard for billing/coding, which enable tracking disease burden and outcomes. This cross-sectional study aimed to test feasibility of an NLP algorithm's performance and comparison to radiologists' and physicians' manual coding.
View Article and Find Full Text PDFPenetrating abdominal trauma comprises a wide variety of injuries that will manifest themselves at imaging depending on the distinct mechanism of injury. The use of computed tomography (CT) for hemodynamically stable victims of penetrating torso trauma continues to increase in clinical practice allowing more patients to undergo initial selective non-surgical management. High diagnostic accuracy in this setting helps patients avoid unnecessary surgical intervention and ultimately reduce morbidity, mortality and associated medical costs.
View Article and Find Full Text PDFPurpose: To assess the functional results of surgical treatment of traumatic cloaca by a technique including reconstructive plastic surgery of the perineal body and of the rectovaginal septum using the puborectal and external sphincter muscles.
Methods: Six female patients were submitted to surgical treatment for correction of the cloaca over a period of 5 years (2002 to 2007). Loop sigmoidostomy was parformed in two patients.