Diagnosis of chronic liver disease from liver scintiscans by artificial neural networks

Annals of Nuclear Medicine

Volumn 11, Issue 2, 1997, Pages 75-80

  Shiomi, Susumu ^a   Kuroki, Tetsuo ^a   Kuriyama, Maki ^a   Morikawa, Hiroyasu ^a   Masaki, Kyoko ^a   Ikeoka, Naoko ^a   Tanaka, Takashi ^a   Ikeda, Hozumi ^a   Ochi, Hironobu ^a  

^a OSAKA CITY UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

Artificial neural network; Chronic hepatitis; Cirrhosis; Liver scintiscan; Technetium 99m phytate

Indexed keywords

PHYTATE TC 99M;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHRONIC HEPATITIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; LIVER CIRRHOSIS; LIVER SCINTISCANNING; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; SCORING SYSTEM;

EID: 1842295695     PISSN: 09147187     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF03164813     Document Type: Article

References (23)

1. Yuhl ET, Stirrett LA, Cassen B. Use of colloidal Au-198 for obtaining scintigrams of the liver. Nucleonics 11: 54-56, 1953.
2. Lunia S, Parthasarathy KL, Bakshi S, Bender MA. An evaluation of Tc-99m-sulfur colloid liver scintiscans and their usefulness in metastatic workup: a review of 1,424 studies. J Nucl Med 16: 62-65, 1975.
3. Fritz SL, Preston DF, Gallagher JH. ROC analysis of diagnostic performance in liver scintigraphy. J Nucl Med 22: 121-128, 1981.
4. Wagner HN Jr, McAfee JG, Mozley JM. Diagnosis of liver disease by radioisotope scanning. Arch Intern Med 107: 324-334, 1961.
5. Whang KS, Fish MB, Pollycove M. Evaluation of hepatic photoscanning with radioactive colloidal gold. J Nucl Med 6: 494-505, 1965.
6. Geslien GE, Pinsky SM, Poth RK, Johnson MC. The sensitivity and specificity of Tc-99m-sulfur colloid liver imaging in diffuse hepatocellular disease. Radiology 118: 115-119, 1976.
7. Drum DE, Beard JO. Liver scintigraphic features associated with alcoholism. J Nucl Med 19: 154-160, 1978.
8. Picard D, Infante-Rivard C, Villeneuve J-P, Chartrand R, Picard M, Carrier L. Extrahepatic uptake of technetium-99m-phytate: a prognostic index in patients with cirrhosis. J Nucl Med 31: 436-440, 1990.
9. Meek DR, Mills PR, Gray HW, Duncan JG, Russell RI, McKillop JH. A comparison of computed tomography, ultrasound and scintigraphy in the diagnosis of alcoholic liver disease. Br J Radial 57: 23-27, 1984.
10. Zadeh LA. Fuzzy sets. Information and Control 8: 338-353, 1965.
11. Rumelhart DE, Hilton GE, William RJ. Learning internal representations by error propagation. In: Rumelhart DE, McClelland JL, eds. Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol. 1. Cambridge, MA: MIT Press, pp. 318-362, 1986.
12. Poggio T, Girosi F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 247: 978-982, 1990.
13. Asada N, Doi K, MacMahon H, Montner SM, Giger ML, Abe C, et al. Potential usefulness of an artificial neural network for differential diagnosis of interstitial lung diseases: pilot study. Radiology 177: 857-860, 1990.
14. Fujita H, Katafuchi T, Uehara T, Nishimura T. Application of artificial neural network to computer-aided diagnosis of coronary artery disease in myocardial SPECT bull's-eye images. J Nucl Med 33: 272-276, 1992.
15. Scott JA, Palmer EL. Neural network analysis of ventilation-perfusion lung scans. Radiology 186: 661-664, 1993.
16. Wu Y, Giger ML, Doi K, Vyborny CJ, Schmidt RA, Metz CE. Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer. Radiology 187: 81-87, 1993.
17. Tourassi GD, Floyd CE, Sostman HD, Coleman RE. Acute pulmonary embolism: artificial neural network approach for diagnosis. Radiology 189: 555-558, 1993.
18. Porenta G, Dorffner G, Kundrat S, Petta P, Duit-Schedlmayer J, Sochor H. Automated interpretation of planar thallium-201-dipyridamole stress-redistribution scintigrams using artificial neural networks. J Nucl Med 35: 2041-2047, 1994.
19. Scheuer PJ, Thaler H. Acute and chronic hepatitis revisited: review by an international group. Lancet 2: 914-919, 1977.
20. Rumelhart DE, Hinton GE, Williams RJ. Learning representations by back-propagating errors. Nature 323: 533-536, 1986.
21. Taniguchi S, Tanaka S, Okamura T, Sazaki A, Takemoto K, Ochi H, et al. Comparison of colloid liver scan, computed tomography and gray-scale ultrasonography in the evaluation of the diffuse liver disease proven by the peritoneoscopic biopsy [Abstract]. KAKU IGAKU (Jpn J Nucl Med) 22: 752, 1985.
22. Shiomi S, Kuroki T, Jomura H, Ueda T, Ikeoka N, Kobayashi K, et al. Diagnosis of chronic liver disease from liver scintiscans by fuzzy reasoning. J Nucl Med 36: 593-598, 1995.
23. Ogawa Y, Morita T, Kobayashi K. A fuzzy document retrieval system using the keyword connection matrix and a learning method. Fuzzy Sets Systems 39: 163-179, 1991.