New approach to prostate diagnosis - perfusion CT images analysis using "life belt" method

• Autorzy: Śmietański J. , Tadeusiewicz R.
• Języki publikacji: EN

Abstrakty

EN

The most important task that could improve the efficacy of managing the prostate cancer (PCa) is to develop the technique which will be able to detect an existing PCa even in cases when currently used methods are insufficient. It is supposed that the perfusion computed tomography technology (p-CT) can improve the diagnosis of early PCa. Unfortunately, the perfusion prostate images are very difficult to analyze especially for doctors who are not enough experienced with such a kind of images. Therefore there is a need to find a computational method which could help the doctors to make the decision whether the prostate cancer exists or not and (if the results are positive) to correctly point out the cancerous region. In research which results are presented in the paper we analyzed a great number of prostate images derived from over 50 patients with proven or suspected PCa. We propose the new method, named “life-belt” which has significant potential for identifying cancerous regions.

Słowa kluczowe

EN

prostate cancer; perfusion computed tomography; image processing; texture analysis

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2012
• Tom: Vol. 8, no. 1
• Strony: 145--158
• Opis fizyczny: Bibliogr. 41 poz., rys., tab.

Twórcy

autor

Śmietański J.

• Institute of Computer Science Jagiellonian University, ul. Łojasiewicza 6, 30-438 Kraków

autor

Tadeusiewicz R.

• Department of Automatics AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków

Bibliografia

• 1. American Cancer Society, Estimated New Cancer Cases and Deaths by Sex, US, 2009, http://www.cancer.org/downloads/stt/CFF2009_EstCD_3.pdf (last accessed 2010-04-19)
• 2. Bhattacharyya A., On a measure of divergence between two statistical populations defined by their probability distributions, Bulletin of the Calcutta Mathematical Society 1943; 35:99-110.
• 3. Blomley M.J., Coulden R., Bufkin C., Lipton M.J., Dawson P., Contrast bolus dynamic computed tomography for the measurement of solid organ perfusion, Invest Radiol 1993; 28(suppl 5):S72-S77
• 4. Bono A.V., Celato N., Cova V., et al., Microvessel density in prostate carcinoma, Prostate Cancer and Prostatic Diseases 2002; 5:123-127
• 5. Borkowski A., Borówka A. (red), Choroby gruczołu krokowego, PZWL, Warszawa 1997
• 6. Charlesworth P., Harris A., Mechanisms of disease: angiogenesis in urologic malignancies, Nature Clinical Practice Urology 2006; 3(3):157-169.
• 7. Chwaliński T., Rak stercza: rozpoznanie i leczenie, Nowa Medycyna 2001, zeszyt 113(5-6).
• 8. Dåhnert W.F., Hamper U.M., Eggleston J.C., et al., Prostatic evaluation by transrectal sonography with histopathologic correlation: the echopenic appearance of early carcinoma, Radiology 1986; 158:97-102
• 9. Dobruch J., Borówka A., Antoniewicz A.A., Chłosta P., Badania przesiewowe mające na celu wczesne wykrycie raka stercza: uwarunkowania wynikające z epidemiologii i historii naturalnej.Metody diagnostyczne, Urologia Polska 2004/57/3.
• 10. Dugdale P.E., Miles K.A.., Hepatic metastases: the value of quantitative assessment of contrast enhancement on computed tomography. Eur J Radiol 1999; 30:206﷓213.
• 11. Dziubińska M., Basiak M., Konopka M., et al., Role of perfusion imaging in computed tomography in diagnostics of cerebral gliomas (in polish), Neurologia i Neurochirurgia Polska 2006; 40(1):51-56.
• 12. Fukuya T., Honda H., Hayahi T., et al., Lymph-node metastases: efficacy of detection with helical CT in patients with gastric cancer. Radiology 1995; 197:705﷓711.
• 13. Groell R., Doerfler O., Schaffler G.J., Habermann W., Contrast-enhanced helical CT of the head and neck. Improved conspicuity of squamous cell carcinoma on delayed scans, American Journal of Roentgelogy 2001; 176:1571-1575.
• 14. Haralick R.M., Shanmugam K., Dinstein I., Textural features for image classification, IEEE Transactions on Systems, Man and Cybernetics 1973; 3:610-621.
• 15. Hartel M., Dziubińska-Basiak M., Konopka M., et al., Complex diagnostic imaging of acute ischemic stroke – case study (in polish), Udar Mózgu, 2006, t.8, nr 2, 81-86.
• 16. Henderson E., Milosevic M.F., Haider M.A., Yeung I.W., Functional CT imaging of prostate cancer, Psys. Med. Biol. 2003; 38:3085-3100.
• 17. Hoeffner E.G., Case I., Jain R., et al., Cerebral perfusion CT: technique and clinical applications, Radiology 2004; 231(3):632-644.
• 18. Ives E.P., Burke M.A., Edmonds P.R., et al., Quantitative computed tomography perfusion of prostate cancer: correlation with whole-mount pathology, Clinical Prostate Cancer 2005; 4(2):109-112.
• 19. Łuczyńska E., Anioł J., Szczudło J., et al., Perfusion of prostate cancer: correlation between p﷓CT and whole-mount pathology – case report, Pol J. Radiol 2006; 71(4):70-73.
• 20. Łuczyńska E., Anioł J., Stelmach A., Jaszczyński J., The value of perfusion CT in evaluating locoregional staging in post-radical prostatectomy patients with elevated serum PSA level, Pol. J. Radiol 2008; 73(2):13-17.
• 21. Miles K.A., Tumour angiogenesis and its relation to contrast enhancement on computed tomography: a review, Eur. J. Radiol 1999; 30:198-205.
• 22. Miles K.A., Functional computed tomography in oncology, European Journal of Cancer 2002; 38:2079-2084.
• 23. Miles K.A., Griffiths M.R., Perfusion CT: a worthwhile enhancement?, Br. J Radiol 2003; 76:220-231.
• 24. National Cancer Registry, Number of new cancer cases by site and age groups, http://85.128.14.124/krn/english/liczba_zach_rozp/raport.asp?plec=1&rok=2007&kodwoj=-1 (last accessed 2010-04-19)
• 25. Norberg M., Egevad L., Holmberg P., et al., The sextant protocol for ultrasound-guided core biopsies of the prostate underestimates the presence of cancer, Urology 1997; 50:562-566.
• 26. Pelzer A.E., Tewari A., Bektic J. et al., Detection rates and biologic significance of prostate cancer with PSA less than 4.0 ng/mL: observation and clinical implications from Tyrol Screening Project, Urology 2005; 66:1029-1033.
• 27. Pickles T., Current status of PSA screening. Early detection of prostate cancer. Can Fam Physician 2004; 50:57-63.
• 28. Prando A., Wallace S., Helical CT of prostate cancer: early clinical experience, American Journal of Roentgenology 2000; 175(2):343-346.
• 29. Roscigno M, Scattoni V, Bertini R et al., Diagnosis of prostate cancer. State of the art. Minerva Urol Nefrol 2004; 56(2):123-145.
• 30. Rosenberg R., Wojtek P., Konopka M., et al., Clinical applications of perfusion computed tomography, diffusion-weighted magnetic resonance and perfusion-weighted magnetic resonance imaging in detection of early lesions in ischemic stroke (in polish), Udar Mózgu, 2004; 6(2):71-78
• 31. Sahani D.V., Kalva S.P., Hamberg L.M., et al., Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: initial observations, Radiology 2005; 234:785﷓792.
• 32. Scattoni V., Zlottab A.R., Nava L., et al., Prostatic transrectal ultrasound (TRUS) guided biopsy schemes and TRUS prostatic lesion-guided biopsies, European Urology Supplements 2002; 1:28-34.
• 33. Śmietański J., Tadeusiewicz R., Computational Analysis of Prostate Perfusion Images – a Preliminary Report, Bio-Algorithms and Med-Systems, 2009, 5(10):25-30
• 34. Śmietański J., Tadeusiewicz R., Perfusion CT in Prostate Cancer Diagnostic - Comparative Discussion, Bio-Algorithms and Med Systems, 2010; 6(12):37-42.
• 35. Śmietański J., Tadeusiewicz R., Discriminatory Power of Co-Occurrence Features in Perfusion CT Prostate Images, Machine Graphics & Vision, 2010; 19(2):185-199.
• 36. Stamey T.A., Caldwell M., McNeal J.E., et al., The prostate specific antigen era in the united states is over for prostate cancer: what happened in the last 20 years?, The Journal of Urology 2004; 172:1297-1301.
• 37. Sudoł-Szopińska I., Szopiński T. (red.), Diagnostyka ulstrasonograficzna gruczołu krokowego, Praktyczna Ultrasonografia, Warszawa-Zamość 2005.
• 38. Thompson I.M., Pauler D.K., Goodman P.J., et al, Prevalence of prostate cancer among men with a prostate-specific antigen level < or = 4.0 ng per milliliter, New England Journal of Medicine 2004; 350(22):2239-2246.
• 39. Tukey J.W., Exploratory Data Analysis, Addison-Wesley 1977.
• 40. Velleman P.F., Hoaglin D.C., Applications, Basics, and Computing of Exploratory Data Analysis, Duxbury Press, Boston 1981.
• 41. Zhang M, Kono M., Solitary pulmonary nodules: Evaluation of blood flow patterns with Dynamic CT, Radiology 1997; 205(2):471–478.