Development of a novel computer-aided diagnosis system for automatic discrimination of malignant from benign solitary pulmonary nodules on thin-section dynamic computed tomography

Journal of Computer Assisted Tomography

Volumn 29, Issue 2, 2005, Pages 215-222

  Mori, Kiyoshi ^a   Niki, Noboru ^b   Kondo, Teturo ^a   Kamiyama, Yukari ^a   Kodama, Teturo ^a   Kawada, Yoshiki ^b   Moriyama, Noriyuki ^c  

^a TOCHIGI CANCER CENTER   (Japan)

^b UNIVERSITY OF TOKUSHIMA   (Japan)

^c NATIONAL CANCER CENTER   (Japan)

Author keywords

Coin lesion; Computer aided design; Lung neoplasms; Pulmonary; Radiographic image enhancement; Tomography; X ray computed

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY;

COIN LESION; COMPUTER-AIDED DESIGN; CONTRAST-ENHANCED; HELICAL COMPUTED TOMOGRAPHIES; LUNG NEOPLASM; PULMONARY; PULMONARY NODULES; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGES; X-RAY COMPUTED;

IMAGE ENHANCEMENT;

IOPAMIDOL;

ADOLESCENT; ADULT; AGED; ARTICLE; AUTOANALYZER; CHILD; COLLIMATOR; COMPUTER AIDED DESIGN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC IMAGING; DIAGNOSTIC PROCEDURE; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; LUNG COIN LESION; LUNG NODULE; LUNG TUMOR; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; RADIATION ATTENUATION; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; THIN SECTION DYNAMIC COMPUTED TOMOGRAPHY; THREE DIMENSIONAL IMAGING;

EID: 15744376050     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.rct.0000155668.28514.01     Document Type: Article

References (20)

1. Mori K, Saitou Y, Tominaga K, et al. Small nodular lesions in the lung periphery: new approach to diagnosis with CT. Radiology. 1990;177:843-849.
2. Kuriyama K, Tateishi R, Doi O, et al. CT-pathologic correlation in small peripheral lung cancers. AJR Am J Roentgenol. 1987;149:1139-1143.
3. Zwirewich CV, Vedal S, Miller RR, et al. Solitary pulmonary nodule; high-resolution CT and radiologic pathologic correlation. Radiology. 1991;179:469-476.
4. Siegelman SS, Khouri NF, Leo FR, et al. Solitary pulmonary nodules: CT assessment. Radiology. 1986;160:307-312.
5. Yamashita K, Matsunobe S, Tsuda T, et al. Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. Radiology. 1995;194:399-405.
6. Swensen SJ, Brown LR, Colby TV, et al. Lung nodule enhancement at CT; prospective findings. Radiology. 1996;201:447-455.
7. Zhang M, Kono M. Solitary pulmonary nodules: evaluation of blood flow patterns with dynamic CT. Radiology. 1997;205:471-478.
8. Swensen SJ, Viggiano RW, Midthun DE, et al. Lung nodule enhancement at CT: multicenter study. Radiology. 2000;214:73-80.
9. Kawata Y, Niki N, Ohmatsu H, et al. Quantitative surface characterization of pulmonary nodules based on thin-section CT images. IEEE Trans Nucl Sci. 1998;45:2132-2138.
10. Kawata Y, Niki N, Mori K, et al. Curvature based analysis of internal structure of pulmonary nodules using thin-section CT images. Proc IEEE Int Conf Image Processing. 1998;3:851-855.
11. Armato SG, Li F, Giger ML, et al. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002;225:685-692.
12. Caselles V, Kimmel R, Sapiro G, et al. Minimal surfaces based object segmentation. IEEE Trans Pattern Anal Mach Intell. 1997;19:394-398.
13. Koenderink JJ, van Doom AJ. Surface shape and curvature scales. Image Vis Comput. 1992;10:557-565.
14. Dorai C, Jain AK. COSMOS-A representation scheme for 3D free-form objects. IEEE Trans Pattern Anal Mach Intell. 1997;19:1115-1130.
15. Duda RO, Hart PE. Pattern classification and scene analysis. In: Rosen CA, ed. Linear Discriminant Functions. New York: John Wiley & Sons; 1973:130-188.
16. Jain AK, Duin RPW, Mao J. Statistical pattern recognition: a review. IEEE Trans Pattern Anal Mach Intell. 2000;22:4-37.
17. Yankelevitz DF, Henschke CI. Does 2-year stability imply that pulmonary nodules are benign? AJR Am J Roentgenol. 1997;168:325-328.
18. Newhouse JH, Murphy RX. Tissue distribution of soluble contrast: effect of dose variation and changes with time. AJR Am J Roentgenol. 1981;136:463-467.
19. Kaneko M, Eguchi K, Ohmatsu H, et al. Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology. 1996;201:798-802.
20. Mori K, Tominaga K, Moriyama N, et al. Utility of low-dose helical CT as a second step after plain chest radiography for mass screening for lung cancer. J Thorac Imaging. 1997;12:173-180.