Radiology, Vol 186, 415-422, Copyright © 1993 by Radiological Society of North America

ARTICLES

Determining the likelihood of malignancy in solitary pulmonary nodules with Bayesian analysis. Part II. Application

JW Gurney, DM Lyddon and JA McKay
Department of Radiology, University Hospital, Omaha, NE 68198.

Four board-certified radiologists estimated the probability of malignancy in 66 cases of solitary pulmonary nodules. Two other radiologists evaluated the same nodules according to various radiographic and clinical findings. These findings were then used to estimate the probability of malignancy by using previously derived likelihood ratios and the Bayes theorem. The readers using Bayesian analysis performed significantly better than the expert readers (P < .05) when individual radiographs were considered and when all radiologic studies were combined. In addition, the readers using Bayesian analysis misclassified fewer malignant nodules as benign (mean, 6.5) than did the expert readers (mean, 6.5) than did the expert readers (mean, 16.5). The authors conclude that Bayesian analysis may be a useful aid in the evaluation of solitary pulmonary nodules.

This article has been cited by other articles:

				S. K. Kim, M. Allen-Auerbach, J. Goldin, B. J. Fueger, M. Dahlbom, M. Brown, J. Czernin, and C. Schiepers Accuracy of PET/CT in Characterization of Solitary Pulmonary Lesions J. Nucl. Med., February 1, 2007; 48(2): 214 - 220. [Abstract] [Full Text] [PDF]

				F. C. Detterbeck, S. Falen, M. P. Rivera, J. S. Halle, and M. A. Socinski Seeking a Home for a PET, Part 1: Defining the Appropriate Place for Positron Emission Tomography Imaging in the Diagnosis of Pulmonary Nodules or Masses Chest, June 1, 2004; 125(6): 2294 - 2299. [Abstract] [Full Text] [PDF]

				M. K. Gould, G. D. Sanders, P. G. Barnett, C. E. Rydzak, C. C. Maclean, M. B. McClellan, and D. K. Owens Cost-Effectiveness of Alternative Management Strategies for Patients with Solitary Pulmonary Nodules Ann Intern Med, May 6, 2003; 138(9): 724 - 735. [Abstract] [Full Text] [PDF]

				J. Shiraishi, H. Abe, R. Engelmann, M. Aoyama, H. MacMahon, and K. Doi Computer-aided Diagnosis to Distinguish Benign from Malignant Solitary Pulmonary Nodules on Radiographs: ROC Analysis of Radiologists' Performance--Initial Experience Radiology, May 1, 2003; 227(2): 469 - 474. [Abstract] [Full Text] [PDF]

				H.-U. Kauczor, K. Heitmann, C. P. Heussel, D. Marwede, T. Uthmann, and M. Thelen Automatic Detection and Quantification of Ground-Glass Opacities on High-Resolution CT Using Multiple Neural Networks: Comparison with a Density Mask Am. J. Roentgenol., November 1, 2000; 175(5): 1329 - 1334. [Abstract] [Full Text] [PDF]

				J. Blum, H. Handmaker, J. Lister-James, and N. Rinne A Multicenter Trial With a Somatostatin Analog 99mTc Depreotide in the Evaluation of Solitary Pulmonary Nodules Chest, May 1, 2000; 117(5): 1232 - 1238. [Abstract] [Full Text] [PDF]

				K. Nakamura, H. Yoshida, R. Engelmann, H. MacMahon, S. Katsuragawa, T. Ishida, K. Ashizawa, and K. Doi Computerized Analysis of the Likelihood of Malignancy in Solitary Pulmonary Nodules with Use of Artificial Neural Networks Radiology, March 1, 2000; 214(3): 823 - 830. [Abstract] [Full Text]

				D. F. Yankelevitz, R. Gupta, B. Zhao, and C. I. Henschke Small Pulmonary Nodules: Evaluation with Repeat CT—Preliminary Experience Radiology, August 1, 1999; 212(2): 561 - 566. [Abstract] [Full Text]

				J. E. Blum, H. Handmaker, and N. A. Rinne The Utility of a Somatostatin-Type Receptor Binding Peptide Radiopharmaceutical (P829) in the Evaluation of Solitary Pulmonary Nodules Chest, January 1, 1999; 115(1): 224 - 232. [Abstract] [Full Text] [PDF]

				V. J Lowe and K. S Naunheim Current role of positron emission tomography in thoracic oncology Thorax, August 1, 1998; 53(8): 703 - 712. [Full Text]

				V. J. Lowe and K. S. Naunheim Positron Emission Tomography in Lung Cancer Ann. Thorac. Surg., June 1, 1998; 65(6): 1821 - 1829. [Abstract] [Full Text] [PDF]