Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data

Computer Methods and Programs in Biomedicine

Volumn 90, Issue 3, 2008, Pages 230-239

  da Silva, Erick Corrêa ^a   Silva, Aristófanes Corrêa ^a   de Paiva, Anselmo Cardoso ^a   Nunes, Rodolfo Acatauassú ^b   Gattass, Marcelo ^c  

^a FEDERAL UNIVERSITY OF MARANHÃO   (Brazil)

^b STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^c PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Diagnosis of lung nodule; Ripley's K function; Textural characterization

Indexed keywords

IMAGE ANALYSIS; MEDICAL IMAGING; PULMONARY DISEASES;

PULMONARY NODULES; SOLITARY LUNG NODULES; STEPWISE DISCRIMINANT ANALYSIS; TEXTURAL CHARACTERIZATION;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; BENIGN TUMOR; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; LUNG NODULE; MALIGNANT NEOPLASTIC DISEASE; QUANTITATIVE DIAGNOSIS; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

DISCRIMINANT ANALYSIS; HUMANS; LINEAR MODELS; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 42449152032     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.02.003     Document Type: Article

References (40)

1. Libby D.M., Smith J.P., Altorki N.K., Pasmantier M.W., Yankelevitz D., and Henshcke C.I. Managing the small pulmonary nodule discovered by ct. Chest 125 (2004) 1522-1529
2. Tarantino A.B. Nódulo Solitário Do Pulmão. 4th edition (1997), Guanabara Koogan, Rio de Janeiro 733-753 Chapter 38
3. R. Lag, Seer cancer statistics review, 1975-2002, Tech. rep., National Cancer Institute, Bethesda, MD, available at http://seer.cancer.gov/csr/1975_2002/, based on November 2004 SEER data submission, posted to the SEER web site 2005.
4. INCA, Estimativas 2008: Incidência de câncer no brasil, 2007, available at www.inca.gov.br.
5. Schrump D., Altorki N., Henschke C., Carter D., Turrisi A., and Gutierrez M. Non-small cell lung cancer. In: De Vita V.T., Hellman S., and Rosenberg S.A. (Eds). Cancer, Principles and Practice of Oncology. 6th edition (2005), Lippincott Williams and Wilkins, Philadelphia 753-810
6. Henschke C.I., and Yankelevitz D.F. CT screening for lung cancer. Radiol. Clin. North Am. 3 38 (2000) 487-495
7. Lillington G.A., and Caskey C.J. Evaluation and management of solitary and multiple pulmonary nodules. Clin. Chest Med. 14 1 (1993) 111-119
8. Henschke C.I., Yankelevitz D.F., Naidich D.P., McCauley D.I., McGuiness G., Libby D.M., Smith J.P., Pasmantier M.W., and Mietinnen O.S. Ct screening for lung cancer: significance of nodules at baseline according to size. Radiology 30 1 (2003) 11-15
9. Ost D., Fein A.M., and Feinsilver S.H. The solitary pulmonary nodule. N. Engl. J. Med. 25 348 (2003) 2535-2542
10. Swensen S.J. The probability of malignancy in solitary nodules. Application to small radiologically indeterminate nodules. Arch. Intern. Med. 8 157 (1997) 849-855
11. Jeong Y., Lee K., Jeong S., Chung M., Shim S., Kim H., Kwon O., and Kim S. Solitary pulmonary nodule: characterization with combine wash-in and wash-out features of dynamic multidetector row CT. Radiology 2 237 (2005) 675-683
12. Pepe G., Rosseti C., Sironi S., Landoni G., Gianoli L., Pastorino U., Zannini P., Mezzetti M., Grimaldi A., Galli L., Messa C., and Fazio F. Patients with known or suspected lung cancer: evaluation of clinical management changes due to 18 F-deoxyglucose positron emission tomography (18 F-FDG PET) study. Nucl. Med. Commun. 9 26 (2005) 831-837
13. D.-Y. Kim, et al., Pulmonary nodule detection using chest ct images, Acta Radiologica (44) (2003) 252-257.
14. Silva A.C., Carvalho P.C.P., and Gattass M. Analysis of spatial variability using geostatistical functions for diagnosis of lung nodule in computerized tomography images. Pattern Anal. Appl. 7 3 (2004) 227-234
15. Silva A.C., Carvalho P.C.P., Peixoto A., and Gattass M. Diagnosis of lung nodule using gini coefficient and skeletonization in computerized tomography images. Proceedings of the 19th Annual ACM Symposium on Applied Computing (SAC 2004) (2004), ACM Press 243-248
16. A.C. Silva, E.C. da Silva, A.C. de Paiva, R.A. Nunes, M. Gattass, Diagnosis of lung nodule using Moran's Index and Geary's Coefficient in computerized tomography images, Pattern Anal. Appl. 11 (2008) 89-99.
17. Silva A.C., Carvalho P.C.P., and Gattass M. Diagnosis of lung nodule using semivariogram and geometric measures in computerized tomography images. Comput. Methods Programs Biomed. 79 (2005) 31-38
18. McNitt-Gray M.F., Hart E.M., Wyckoff N., Sayre J.W., Goldin J.G., and Aberle D.R. A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary results. Med. Phys. 26 6 (1999) 880-888
19. Kawata Y., Niki N., Ohmatsu H., Kakinuma R., Eguchi K., Kaneko M., and Moriyama N. Quantitative surface characterization of pulmonary nodules based on thin-section CT images. IEEE Trans. Nucl. Sci. 45 4 (1998) 2132-2138
20. Kawata Y., Niki N., Ohmatsu H., Kusumoto M., Kakinuma R., Mori K., Nishiyama H., Eguchi K., Kaneko M., and Moriyama N. Computer aided differential diagnosis of pulmonary nodules using curvature based analysis. Proceedings of the International Conference on Image Analysis and Processing, vol. 2 (1999), IEEE Computer Society Press 470-475
21. Nikolaidis N., and Pitas I. 3D Image Processing Algorithms (2001), John Wiley, New York
22. Clunie D.A. DICOM Structured Reporting (2000), PixelMed Publishing, Pennsylvania
23. Gould M.K., Fletcher J., Iannettoni M.D., Lynch W.R., Midthun D.E., Naidich D.P., and Ost D.E. Evaluation of patients with pulmonary nodules: when is it lung cancer?. ACCP Evidence-based Clinical 132 3 (2007) 108S-130S Practice Guidelines (2nd edition). Chest. Supplement
24. Wahidi M.M., Govert J.A.M.D., Goudar R.K., Gould M.K., and McCrory D.C. Diagnosis and management of lung cancer. ACCP Evidence-based Clinical 132 3 (2007) 94S-107S Practice Guidelines (2nd edition). Chest. Supplement
25. Nakamura K., Yoshida H., Engelmann R., MacMahon H., Katsuragawa S., Ishida T., Ashizawa K., and Doi K. Computerized analysis of the likelihood of malignancy in solitary pulmonary nodules with use of artificial neural networks. Radiology 214 (2000) 823-830
26. Takashima S., Sone S., Li F., Mauyama Y., Hasegawa M., and Kadoya M. Indeterminate solitary pulmonary nodules revealed at population-based ct screening of the lung: using first follow-up diagnostic ct to differentiate benign end malignant lesions. Am. J. Roentol. 180 5 (2003) 1255-1263
27. A.C. Silva, P.C.P. Carvalho, Sistema de análise de nódulo pulmonar, in: II Workshop de Informática aplicada a Saúde, Universidade de Itajai, Itajai, 2002, available at http://www.cbcomp.univali.br/pdf/2002/wsp035.pdf.
28. Gonzalez R.C., and Woods R.E. Digital Image Processing. 3rd edition (1992), Addison-Wesley, Reading, MA, USA
29. Meyer-Baese A. Pattern Recognition for Medical Imaging (2003), Elsevier
30. Kovalev V.A., Kruggel F., Gertz H.-J., and Cramon D.Y.V. Three-dimensional texture analysis of MRI brain datasets. IEEE Trans. Med. Imag. 20 5 (2001) 424-433
31. Scheuerell M.D. Quantifying aggregation and association in three dimensional landscapes. Ecology 85 (2004) 2332-2340
32. Ripley B.D. Modelling spatial patterns. J. Roy. Statist. Soc. B 39 (1977) 172-212
33. D.L. Urban, Spatial analysis in ecology-point pattern analysis, 2003, available at: http://www.nicholas.duke.edu/lel/env352/ripley.pdf.
34. Papoulis A., and Pillai S.U. Probability Random Variables and Stochastic Processes. 4th edition (2002), McGraw-Hill
35. Dale M.R.T., Dixon P., Fortin M.-J., Legendre P., Myers D.E., and Rosenberg M.S. Conceptual and mathematical relationships among methods for spatial analysis. Ecography 25 (2002) 558-577
36. Baddeley A., Howard C.V., Boyde A., and Reid S. Three-dimensional analysis of the spatial distribution of particles using the tandem-scanning reflected light microscope. Acta Stereologica 6 Suppl. II (1987) 87-100
37. L. Technologies, SPSS 11.0 for windows, 2003, available at http://www.spss.com.
38. Lachenbruch P.A. Discriminant Analysis (1975), Hafner Press, New York
39. J.S. Wihtaker, Use of the stepwise methodology in discriminant analysis, Reports - Descriptive - Speeches/Conference Papers 150, Annual Meeting of the Southwest Educational Research Association, Austin, TX, 1997.
40. Fukunaga K. Introduction to Statistical Pattern Recognition. 2nd edition (1990), Academic Press, London