An effective classification procedure for diagnosis of prostate cancer in near infrared spectra

Expert Systems with Applications

Volumn 37, Issue 5, 2010, Pages 3863-3869

  Kim, Seoung Bum ^a   Temiyasathit, Chivalai ^b   Bensalah, Karim ^c   Tuncel, Altug ^c   Cadeddu, Jeffrey ^c   Kabbani, Wareef ^c   Mathker, Aditya V ^d   Liu, Hanli ^d  

^a Korea University   (South Korea)

^b KING MONGKUT'S INSTITUTE OF TECHNOLOGY LADKRABANG   (Thailand)

^c UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

^d UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Class imbalance; Classification; Clustering; Near infrared; Prostate cancer

Indexed keywords

CLASS IMBALANCE; CLASSIFICATION ,; CLASSIFICATION ABILITY; CLASSIFICATION ACCURACY; CLASSIFICATION MODELS; CLASSIFICATION PROCEDURE; CLUSTERING ANALYSIS; CROSS-VALIDATION TECHNIQUE; LEAVE-ONE-OUT; NEAR INFRARED; NEAR INFRARED SPECTRA; PROSTATE CANCERS; SPECTRAL DATA; SPECTROSCOPIC DATA; TESTING SAMPLES; TWO STAGE;

ABILITY TESTING; CLUSTER ANALYSIS; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY;

INFRARED SPECTROSCOPY;

EID: 73749083191     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.11.032     Document Type: Article

References (32)

1. Alves A., Santos A., da Silva Perez D., Rodrigues J., Pereira H., Simoes R., et al. NIR PLSR model selection for kappa number prediction of maritime pine kraft pulps. Wood Science Technology 41 (2007) 491-499
2. Balabin R.M., Safieva R.Z., and Lomakina E.I. Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction. Chemometrics and Intelligent Laboratory Systems 88 (2007) 183-188
3. Balabin R.M., Safieva R.Z., and Lomakina E.I. Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra. Chemometrics and Intelligent Laboratory Systems 93 (2008) 58-62
4. Benavides J.M., Chang S., Park S.Y., Richards-Kortum R., MacAulay N.M., Milbourne A., et al. Multispectral digital colposcopy for in vivo detection of cervical cancer. Optics Express 11 (2003) 1223-1236
5. Bensalah K., Peswani D., Tuncel A., Raman J.D., Zeltser I., Liu H., et al. Optical reflectance spectroscopy to differentiate benign and from malignant renal tumors at surgery. Urology 73 (2009) 178-181
6. Bensalah K., Tuncel A., Peshwani D., Zeltser I., Liu H., and Cadeddu J.A. Optical reflectance spectroscopy to differentiate renal tumor from normal parenchyma. Journal of Urology 179 (2008) 2010-2013
7. Bill-Axelson A., Holmberg L., Ruutu M., Haggman M., Andersson S.-O., Bratell S., et al. Radical prostatectomy versus watchful waiting in early prostate cancer. The New England Journal of Medicine 352 19 (2005) 1977-1984
8. Breiman L., Friedman J., Stone C., and Olshen R. Classification and regression trees (1984), Chapman and Hall/CRC, Boca Raton, FL
9. Candolfi A., Wu W., Massart D., and Heuerding S. Comparison of classification approaches applied to NIR-spectra of clinical study lots. Journal of Pharmaceutical and Biomedical Analysis 16 (1998) 1329-1347
10. Chauchard F., Cogdill R., Roussel S., Roger J., and Bellon-Maurel V. Application of LS-SVM to non-linear phenomena in NIR spectroscopy: Development of a robust and portable sensor for acidity prediction in grapes. Chemometrics and Intelligent Laboratory Systems 71 (2004) 141-150
11. D'Amico A.V., Manola J., Loffredo M., Renshaw A.A., DellaCroce A., and Kantoff P.W. 6-month androgen suppression plus radiation therapy vs radiation therapy alone for patients with clinically localized prostate cancer. Journal of American Medical Association 292 7 (2004) 821-827
12. Dou Y., Sun Y., Ren Y., and Ren Y. Artificial neural network for simultaneous determination of two components of compound paracetamol and diphenhydramine hydrochloride powder on NIR spectroscopy. Analytica Chimica Acta 528 (2005) 55-61
13. Duda R., Hart P., and Stork D. Pattern classification (2001), Wiley-Interscience
14. Essink-Bot M., de Koning H., Nijs H., Kirkels W., van der Maas P., and Schroder F. Short-term effects of population-based screening for prostate cancer on health-related quality of life. Journal of The National Cancer Institute 90 (1998) 925-931
15. Fernndez-Novales J., Lpez M.-I., Snchez M.-T., Garca J.-A., and Morales J. A feasibility study on the use of a miniature fiber optic NIR spectrometer for the prediction of volumic mass and reducing sugars in white wine fermentations. Journal of Food Engineering 89 (2008) 325-329
16. Gardner T.A., and Koch M.A. Prostate cancer therapy with high-intensity focused ultrasound-comprehensive review. Clinical Genitourinary Cancer 4 3 (2005) 187-192
17. (2008).
18. (1994-2008).
19. Huang, M., Bao, Y., & He, Y. (2007). Discrimination of rapeseed and weeds under actual field conditions based on principal component analysis and artificial neural network by Vis/NIR spectroscopy. In Proc. of SPIE, Vols. 6788, 67882S.
20. Izuishi K., Tajiri H., Fujii T., Boku N., Ohtsu A., Ohnishi T., et al. The histological basis of detection of adenoma and cancer in the colon by autofluorescence endoscopic imaging. Endoscopy 31 (1999) 511-516
21. Liu F., and He Y. Classification of brands of instant noodles using Vis/NIR spectroscopy and chemometrics. Food Research International 41 (2008) 562-567
22. Liu H., Radhakrishnan H., Senapati A.K., Hagains C.E., Peswani D., Mathker A., et al. Acute responses in light scattering and hemoglobin oxygen saturation in rat spinal nerves during electrical and thermal stimulations. NeuroImage 40 (2008) 217-227
23. Loblaw D.A., Mendelson D.S., Talcott J.A., Virgo K.S., Somerfield M.R., Ben-Josef E., et al. American society of clinical oncology recommendations for the initial hormonal management of androgen-sensitive metastatic, recurrent, or progressive prostate cancer. Journal of Clinical Oncology 22 14 (2004) 2927-2941
24. Perez C.A., Hanks G.E., Leibel S.A., Zietman A.L., Fuks Z., and Lee W.R. Localized carcinoma of the prostate (stages t1b, t1c, t2, and t3). review of management with external beam radiation therapy. Cancer 72 11 (2006) 3156-3173
25. Rubinsky, B., Onik, G., Finkelstein, J.J., Neu, D., & Jones, S. (1994). Cryosurgical system for destroying tumors by freezing, US Patent 5334181. .
26. Smith Jr. J.A., Chan R.C., Chang S.S., Herrell S.D., Clark P.E., Baumgartner R., et al. A comparison of the incidence and location of positive surgical margins in robotic assisted laparoscopic radical prostatectomy and open retropubic radical prostatectomy. The Journal of Urology 178 6 (2007) 2385-2390
27. Stummer W., Pichlmeier U., Meinel T., Wiestler O., Zanella F., Reulen H., et al. Fluorescence-guided surgery postpones relapse in patients with malignant glioma. Lancet Oncology 7 (2006) 392-401
28. Uddin M., Okazaki E., Turza S., Yumiko Y., Tanaka M., and Fukuda U. Non-destructive visible/NIR spectroscopy for differentiation of fresh and frozen-thawed fish. Journal of Food Science 70 8 (2005) C506-C510
29. Utzinger M.U., Silva E., Gershenson D., Blast Jr. R.C., Follen M., and Richards-Kortum R. Reflectance spectroscopy for in vivo characterization of ovarian tissue. Lasers in Surgery and Medicine 28 (2001) 56-66
30. Wu W., and Massart D. Artificial neural networks in classification of NIR spectral data: Selection of the input. Chemometrics and Intelligent Laboratory Systems 35 (1996) 127-135
31. Wu H., Sun L., Moul J.W., Wu H., McLeod D.G., Amling C., et al. Watchful waiting and factors predictive of secondary treatment of localized prostate cancer. The Journal of Urology 171 3 (2004) 1111-1116
32. Zhao L., Gao Y., Dou Y., Wang B., Mi H., and Ren Y. Application of artificial neural networks to the nondestructive determination of ciprofloxacin hydrochloride in powder by short-wavelength NIR spectroscopy. Journal of Analytical Chemistry 62 12 (2007) 1156-1162