Use of an artificial neural network to determine the diagnostic value of specific clinical and radiologic parameters in the diagnosis of interstitial lung disease on chest radiographs

Academic Radiology
Hiroyuki AbeKunio Doi

Abstract

The authors investigated the diagnostic value of each of multiple clinical parameters and radiologic findings in differentiating between various interstitial lung diseases by using an artificial neural network (ANN). The ANN was designed to differentiate between 11 interstitial lung diseases. The authors employed 10 clinical parameters and 16 radiologic findings that were divided into three groups (location, general appearance, specific findings). The performance of the ANN was evaluated with receiver operating characteristic analysis with amodified round-robin (leave-one-out) method and 370 cases (150 actual cases, 110 published cases, and 110 hypothetical cases). The Az values of ANNs were evaluated with various combinations of 10 clinical parameters and 16 radiologic findings. The Az value obtained with the complete set of clinical parameters and radiologic findings was 0.947. The Az value obtained with the 10 clinical parameters alone was 0.900, which was greater than 0.843 obtained with the 16 radiologic findings alone. There were statistically significant differences among Az values for some diseases when certain clinical parameters were removed from the input. Omission of specific findings among the three groups of radio...Continue Reading

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Citations

May 18, 2005·Burns : Journal of the International Society for Burn Injuries·Eng-Kean YeongChii-Wann Lin
Mar 29, 2002·Academic Radiology·Maryellen L Giger
Jan 21, 2003·Radiographics : a Review Publication of the Radiological Society of North America, Inc·Hiroyuki AbeKunio Doi
Jul 5, 2011·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Ulaş BağcıDaniel J Mollura
Apr 4, 2007·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Shigehiko Katsuragawa, Kunio Doi
Dec 17, 2008·NMR in Biomedicine·M Albert ThomasLawrence Bassett
Dec 13, 2012·IEEE Reviews in Biomedical Engineering·Oliver FaustToshiyo Tamura
Feb 25, 2005·Cranio : the Journal of Craniomandibular Practice·George J DiasJules A Kieser
Jan 15, 2005·Technology in Cancer Research & Treatment·M Albert ThomasNanette DeBruhl

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