TY - JOUR
T1 - Optimal excitation wavelengths for discrimination of cervical neoplasia
AU - Chang, Sung K.
AU - Follen, Michele
AU - Malpica, Anais
AU - Utzinger, Urs
AU - Staerkel, Gregg
AU - Cox, Dennis
AU - Atkinson, E. Neely
AU - MacAulay, Calum
AU - Richards-Kortum, Rebecca
N1 - Funding Information:
Manuscript received November 13, 2001; revised April 5, 2002. This work was supported in part by the U.S. National Cancer Institute under Grant PO1-CA82710. Asterisk indicates corresponding author. S. K. Chang is with the Electrical and Computer Engineering Department, ENS 8, University of Texas at Austin, Austin, TX 78712 USA. M. Follen is with the Biomedical Engineering Center, UT M.D. Anderson Cancer Center, Houston, TX 77030 USA. A. Malpica and G. Staerkel are with the Department of Pathology, UT M.D. Anderson Cancer Center, Houston, TX 77030 USA. U. Utzinger is with the Biomedical Engineering Department, University of Arizona, Tucson, AZ 85721 USA. D. Cox is with the Department of Statistics, Rice University, Houston, TX 77030 USA. E. N. Atkinson is with the Department of Biomathematics, UT M.D. Anderson Cancer Center, Houston, TX 77030 USA. C. MacAulay is with the Department of Cancer Imaging, British Columbia Cancer Agency, Vancouver, BC, Canada. *R. Richards-Kortum is with the Electrical and Computer Engineering Department, University of Texas at Austin, Austin, TX 78712 USA (e-mail: [email protected]) Publisher Item Identifier 10.1109/TBME.2002.803597.
PY - 2002/10/1
Y1 - 2002/10/1
N2 - Fluorescence spectroscopy has shown promise for the in vivo, real-time detection of cervical neoplasia. However, selection of excitation wavelength has in the past been based on in vitro studies and the availability of light sources. The goal of this study was to determine optimal excitation wavelengths for in vivo detection of cervical neoplasia. Fluorescence excitation-emission matrices (EEMs) were measured in vivo from 351 sites in 146 patients. Data were analyzed in pairs of diagnostic classes to determine which combination of excitation wavelengths yields classification algorithms with the greatest sensitivity and specificity. We find that 330-340-, 350-380-, and 400-450-nm excitation yield the best performance. The sensitivity and specificity for discrimination of squamous normal tissue and high-grade squamous intraepithelial lesion (HGSIL) were 71% and 77% on cross validation using three excitation wavelengths. These results are comparable with those found in earlier in vivo studies; however, in this study we find that the proportion of samples which are HGSIL influences performance. Furthermore stratification of samples within low-grade squamous intraepithelial lesion and HGSIL also appears to influence diagnostic performance. Future diagnostic studies should be carried out at these excitation wavelengths in larger groups so that data can be stratified by diagnostic subcategory, age and menopausal status. Similarly, large studies should be done in screening populations.
AB - Fluorescence spectroscopy has shown promise for the in vivo, real-time detection of cervical neoplasia. However, selection of excitation wavelength has in the past been based on in vitro studies and the availability of light sources. The goal of this study was to determine optimal excitation wavelengths for in vivo detection of cervical neoplasia. Fluorescence excitation-emission matrices (EEMs) were measured in vivo from 351 sites in 146 patients. Data were analyzed in pairs of diagnostic classes to determine which combination of excitation wavelengths yields classification algorithms with the greatest sensitivity and specificity. We find that 330-340-, 350-380-, and 400-450-nm excitation yield the best performance. The sensitivity and specificity for discrimination of squamous normal tissue and high-grade squamous intraepithelial lesion (HGSIL) were 71% and 77% on cross validation using three excitation wavelengths. These results are comparable with those found in earlier in vivo studies; however, in this study we find that the proportion of samples which are HGSIL influences performance. Furthermore stratification of samples within low-grade squamous intraepithelial lesion and HGSIL also appears to influence diagnostic performance. Future diagnostic studies should be carried out at these excitation wavelengths in larger groups so that data can be stratified by diagnostic subcategory, age and menopausal status. Similarly, large studies should be done in screening populations.
KW - Algorithm
KW - Cancer diagnosis
KW - Fluorescence spectroscopy
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U2 - 10.1109/TBME.2002.803597
DO - 10.1109/TBME.2002.803597
M3 - Article
C2 - 12374334
AN - SCOPUS:0036786044
SN - 0018-9294
VL - 49
SP - 1102
EP - 1111
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 10
ER -