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Variation of fluorescence spectroscopy during the menstrual cycle

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Abstract

Cervical autofluorescence has been demonstrated to have potential for real-time diagnosis. Inter-patient and intra-patient variations in fluorescence intensity have been measured. Inter-patient measurements may vary by a factor of ten, while intra-patient measurements may vary by a factor of two. Age and menopausal status have been demonstrated to account for some of the variations, while race and smoking have not. In order to explore in detail the role of the menstrual cycle in intra-patient variation, a study was designed to measure fluorescence excitation emission matrices (EEMs) in patients daily throughout one cycle. Ten patients with a history of normal menstrual cycles and normal Papanicolaou smears underwent daily measurements of fluorescence EEMs from three colposcopically normal sites throughout one menstrual cycle. Changes in signals from porphyrin, NADH, and FAD fluorescence and blood absorption were noted when the data was viewed in a graphical format. Visually interpreted features of the EEMs in this graphical format did not appear to correlate with the day of the menstrual cycle with the exception that blood absorption features were more prominent during the menstrual phase (during which bleeding occurs), suggesting that measurements during the menstrual phase should be avoided. Variations in cycle date likely do not account for inter- or intra-patient variations.

©2002 Optical Society of America

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Supplementary Material (3)

Media 1: AVI (558 KB)     
Media 2: AVI (602 KB)     
Media 3: AVI (819 KB)     

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Figures (12)

Fig. 1.
Fig. 1. Block diagram of system used to measure fluorescence EEMs.
Figure 2.
Figure 2. (620KB) Movie of variations in the normalized EEM as a function of cycle date for a squamous normal site from subject 309, site 2.
Figure 3.
Figure 3. (819KB) Movie of variations in the normalized EEM as a function of cycle date for a columnar normal site for subject 301, site 1.
Figure 4.
Figure 4. Absorption matrices of A) oxygenated blood and B) deoxygenated blood.
Figure 5.
Figure 5. Equally weighted combination of deoxygenated blood and oxygenated blood absorption matrix.
Figure 6.
Figure 6. EEM with little or no blood absorption effects visible.
Figure 7.
Figure 7. EEM of Figure 6 computationally modified by the blood absorption matrix of Figure 5.
Figure 8.
Figure 8. Measured EEM with strong blood absorption effects evident.
Figure 9.
Figure 9. The regions of interest, which were visually assessed in each EEM, are labeled peaks 1–4.
Figure 10.
Figure 10. Correlation of visually assessed amount of blood absorption for each site in each of the ten subjects. Patients ordered by increasing age. Columnar sites: subject C301 site 1, subject C306 site 3 and subject C310 site 2.
Figure 11:
Figure 11: Average EEM for all the squamous sites across all ten subjects.
Figure 12:
Figure 12: (558KB) Movie of the 28-day residual EEMs time series. Intensity values have all been magnified by a factor of 5X

Tables (1)

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Table 1: Example of the Visual Estimation of Feature Strength for Site 1 of Subject C300

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