Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm

Yuwei Zhou, Uygar Teomete, Ozgur Dandin, Onur Osman, Taner Dandinoglu, Ulas Bagci, Weizhao Zhao

Research output: Contribution to journalArticle

Abstract

Bowing fractures are incomplete fractures of tubular long bones, often observed in pediatric patients, where plain radiographic film is the non-invasive imaging modality of choice in routine radiological workflow. Due to weak association between bent bone and distinct cortex disruption, bowing fractures may not be diagnosed properly while reading plain radiography. Missed fractures and dislocations are common in accidents and emergency practice, particularly in children. These missed injuries can result in more complicated treatment or even long-term disability. The most common reason for missed fractures is that junior radiologists or physicians lack expertise in pediatric skeletal injury diagnosis. Not only is additional radiation exposure inevitable in the case of misdiagnosis, but other consequences include the patient's prolonged uncomfortableness and possible unnecessary surgical procedures. Therefore, a computerized image analysis system, which would be secondary to the radiologists’ interpretations, may reduce adverse effects and improve the diagnostic rates of bowing fracture (detection and quantification). This system would be highly desirable and particularly useful in emergency rooms. To address this need, we investigated and developed a new Computer Aided Detection (CADx) system for pediatric bowing fractures. The proposed system has been tested on 226 cases of pediatric forearms with bowing fractures with respect to normal controls. Receiver operation characteristic (ROC) curves show that the sensitivity and selectivity of the developed CADx system are satisfactory and promising. A clinically feasible graphical user interface (GUI) was developed to serve the practical needs in the emergency room as a diagnostic reference. The developed CADx system also has strong potential to train radiology residents for diagnosing pediatric forearm bowing fractures.

Original languageEnglish (US)
Pages (from-to)120-125
Number of pages6
JournalComputers in Biology and Medicine
Volume78
DOIs
StatePublished - Nov 1 2016

Keywords

  • Bowing fracture
  • CADx
  • Plastic deformation
  • Radius
  • Ulna

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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