Desarrollo de un sistema de diagnóstico asistido por ordenador para la detección de nódulos en una radiografía de tórax

Autores/as

  • Amara Tilve Gómez
  • Miriam García Vázquez-Noguerol
  • Jorge Juan Suárez Cuenca
  • Gonzalo Ferro Costas
  • Miguel Souto Bayarri

Palabras clave:

sistema de diagnóstico, CAD, poster, seram, torax

Resumen

Objetivos
Presentar un algoritmo de diagnóstico asistido por ordenador (CAD) diseñado para analizar todas las radiografías (Rx) de tórax, incluso las que no son revisadas por radiólogos, en el entorno del Servicio Galego de Saúde (SERGAS).

Material y métodos
Bases de datos
Para el desarrollo del algoritmo, y para el entrenamiento del clasificador, se emplearon 55 Rx de tórax, proyección posteroanterior, con 64 nódulos pulmonares. De estas Rx, 35 (con 43 nódulos) pertenecían a pacientes del Complexo Hospitalario Universitario de Vigo; y 20 Rx, con 21 nódulos, a pacientes del Complexo Hospitalario Universitario de Santiago de Compostela.
La evaluación posterior se realizó con una base de datos totalmente independiente que contenía 20 Rx de tórax con 21 nódulos.
Todas las Rx se obtuvieron de la práctica clínica diaria y con la aprobación del comité ético de ambos centros.

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Citas

W. Moore, J. Ripton-Snyder, G. Wu, C. Hendler. Sensitivity and Specificity of a CAD Solution for Lung Nodule Detection on Chest Radiograph with CTA Correlation. Journal of Digital Imaging. 2011;24:405–410.

B. van Ginneken, B. Ter Haar Romeny, M. Viergever. Computer-aided diagnosis in chest radiography: a survey. Medical Imaging.IEEE Transactions. 2001;1228–1241.

J. Shiraishi, Q. Li, K. Suzuki, R. Engelmann, K. Doi. Computer aided diagnostic scheme for the detection of lung nodules on chest radiographs: Localized search method based on anatomical classification. Medical Physics 2006;33:2642-2653.

C. S.White, T. Flukinger, J. Jeudy, J. J. Chen. Use of a Computer-aided Detection System to Detect Missed Lung Cancer at Chest Radiography. Radiology. 2009;252(1):273–281.

S. Sakai, H. Soeda, N. Takahashi, T. Okafuji, T. Yoshitake, H. Yabuuchi, et al. Computer-Aided Nodule Detection on Digital Chest Radiography: Validation Test on Consecutive T1 Cases of Resectable Lung Cancer. Journal of Digital Imaging. 2006;19(4):376–382.

S. Katsuragawa, K. Doi. Computer-aided diagnosis in chest radiography. Computerized Medical Imaging and Graphics. 2007;31:212 – 223

F. Li, R. Engelmann, C.E. Metz, K. Doi, H. MacMahon. Lung Cancers Missed on Chest Radiographs: Results Obtained with a Commercial Computer-aided Detection Program. Radiology. 2008;246:273–280

K.H. Lee, J.M. Goo, C.M. Park, H.J. Lee, K.N. Jin. Computer-Aided Detection of Malignant Lung Nodules on Chest Radiographs: Effect on Observers’ Performance. Korean J Radiol 2012;13:564–571.

K. Doi. Computer-Aided Diagnosis in Medical Imaging: Historical Review, Current Status and Future Potential. Computerized medical imaging and

graphics: the official journal of the Computerized Medical Imaging Society. 2007;31:198–211.

B. Keserci, H. Yoshida. Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model. Medical Image Analysis. 2002;6:431 – 447.

G. Coppini, S. Diciotti, M. Falchini, N. Villari, G. Valli. Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms. IEEE Transactions on Information Technology in Biomedicine. 2003;7:344–357.

P. Campadelli, E. Casiraghi, D. Artioli. A Fully Automated Method for Lung Nodule Detection From Postero-Anterior Chest Radiographs, Medical Imaging. IEEE

Transactions. 2006;25:1588–1603.

A.M. Schilham, B. van Ginneken, M. Loog, A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database. Medical Image Analysis. 2006;10:247 – 258.

R.C. Hardie, S.K. Rogers, T. Wilson, A. Rogers, Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs. Medical Image Analysis 2008;12:240 – 258.

S. Chen, K. Suzuki, H. MacMahon. Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification. Medical Physics 2011;38:1844–1858.

W. Guo, Q. Li, S.J. Boyce, H.P. McAdams, J.Shiraishi, K. Doi, et al. A computerized scheme for lung nodule detection in multiprojection chest radiography. Medical Physics 2012;39:2001–2012.

M.T. Freedman, S.C. Lo, F.Y. Lure, X.W. Xu, J. Lin, H. Zhao, et al. Computer-aided detection of lung cancer on chest radiographs: algorithm performance vs. radiologists’ performance by size of cancer. Proc. SPIE 2001;4319:150–159.

S. Kakeda, J. Moriya, H. Sato, T. Aoki, H. Watanabe, H. Nakata, et al. Improved Detection of Lung Nodules on Chest Radiographs Using a Commercial Computer-Aided Diagnosis System. American Roentgen Ray Society 2004;182:505 – 510.

C. Varela, P.G. Tahoces, A.J. Méndez, M. Souto Bayarri, J. J. Vidal. Computerized detection of breast masses in digitized mammograms. Computers in Biology and Medicine 2007;37:214 – 226.

J.J. Suárez-Cuenca, P.G. Tahoces, M. Souto Bayarri, M.J. Lado, M. Remy-Jardin, J. Remy, et al. Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images. Computers in Biology and Medicine. 2009;39:921–933.

J. Wei, Y. Hagihara, A. Shimizu, H. Kobatake. Optimal image feature set for detecting lung nodules on chest X-ray images, in: H. Lemke, K. Inamura, K. Doi, M. Vannier, A. Farman, J. Reiber (Eds.), CARS 2002 Computer Assisted Radiology and Surgery, Springer Berlin Heidelberg, 706–711.

M.T. Freedman, S.C. Lo, T. Osicka, F.Y. Lure, X.W. Xu, J. Lin, et al. Computer-aided detection of lung cancer on chest radiographs: effect of machine CAD false-positive locations on radiologists’ behavior, in: M. Sonka, J. M. Fitzpatrick (Eds.), Medical Imaging 2002: Image Processing, vol 1-3, vol. 4684 of Proceedings of the society of photo-optical instrumentation engineers (SPIE), 1311–1319.

T.A. Bley, T. Baumann, U. Saueressig, G. Pache, M. Treier, O. Schaefer, et al. Comparison of Radiologist and CAD Performance in the Detection of CT-confirmed Subtle Pulmonary Nodules on Digital Chest Radiographs. Investigative Radiology 2008;43:343–348.

S. Kasai, F. Li, J. Shiraishi, K. Doi. Usefulness of Computer-Aided Diagnosis Schemes for Vertebral Fractures and Lung Nodules on Chest Radiographs. American Journal of Roentgenology 2008;191:260–265.

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Publicado

2018-11-22

Cómo citar

Tilve Gómez, A., García Vázquez-Noguerol, M., Suárez Cuenca, J. J., Ferro Costas, G., & Souto Bayarri, M. (2018). Desarrollo de un sistema de diagnóstico asistido por ordenador para la detección de nódulos en una radiografía de tórax. Seram. Recuperado a partir de https://piper.espacio-seram.com/index.php/seram/article/view/725

Número

Sección

Gestión y calidad