TY - JOUR
T1 - Acute pulmonary embolism
T2 - Artificial neural network approach for diagnosis
AU - Tourassi, Georgia D.
AU - Floyd, Carey E.
AU - Sostman, Henry Dirk
AU - Coleman, R. Edward
PY - 1993/1/1
Y1 - 1993/1/1
N2 - PURPOSE: To investigate use of an artificial neural network (ANN) as a computer-aided diagnostic (CAD) tool for predicting pulmonary embolism (PE) from ventilation-perfusion lung scans and chest radiographs. MATERIALS AND METHODS: The data base consisted of cases extracted from the collaborative study of the Prospective Investigation of Pulmonary Embolism Diagnosis (PIOPED). Initially, scan findings from 1,064 patients (383 with PE, 681 without PE) were used to train and test the network by using the "jackknife" method. Then, a receiver-operating-characteristic analysis was applied to compare the performance of the network with that of the physicians involved in the PIOPED study. RESULTS: The ANN significantly outperformed the physicians involved in the PIOPED study (two-tailed P value = .01). CONCLUSION: The findings suggest that an ANN can form the basis of a CAD system to assist physicians with the diagnosis of PE.
AB - PURPOSE: To investigate use of an artificial neural network (ANN) as a computer-aided diagnostic (CAD) tool for predicting pulmonary embolism (PE) from ventilation-perfusion lung scans and chest radiographs. MATERIALS AND METHODS: The data base consisted of cases extracted from the collaborative study of the Prospective Investigation of Pulmonary Embolism Diagnosis (PIOPED). Initially, scan findings from 1,064 patients (383 with PE, 681 without PE) were used to train and test the network by using the "jackknife" method. Then, a receiver-operating-characteristic analysis was applied to compare the performance of the network with that of the physicians involved in the PIOPED study. RESULTS: The ANN significantly outperformed the physicians involved in the PIOPED study (two-tailed P value = .01). CONCLUSION: The findings suggest that an ANN can form the basis of a CAD system to assist physicians with the diagnosis of PE.
KW - Computers, diagnostic aid
KW - Computers, neural network
KW - Embolism, pulmonary, 60.72
KW - Radionuclide imaging, 60.1217
UR - http://www.scopus.com/inward/record.url?scp=0027445437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0027445437&partnerID=8YFLogxK
U2 - 10.1148/radiology.189.2.8210389
DO - 10.1148/radiology.189.2.8210389
M3 - Article
C2 - 8210389
AN - SCOPUS:0027445437
SN - 0033-8419
VL - 189
SP - 555
EP - 558
JO - Radiology
JF - Radiology
IS - 2
ER -