OBJECTIVE: To determine whether diagnostic information may be recovered fro
m the infrared spectra of exfoliated cell specimens by using a novel spectr
al feature extraction method, in conjunction with linear and quadratic disc
riminant analysis, for spectral classification.
STUDY DESIGN: Over 800 infrared spectra were included in the study, with co
rresponding clinical diagnoses based upon cytology and, when available, his
tology reports. Three sets of classification trials were carried out with t
he aim of distinguishing the spectra corresponding to normal specimens from
CIN 1, 2 and 3. For each of these three cases, the procedure was to: (1) d
evelop a set of provisional classification models using only a "training" s
ubset of the spectra, and (2) test each provisional model by its ability to
correctly predict the diagnoses on the basis of the remaining spectra.
RESULTS: For optimal classification trials, training set classification acc
uracies were 68% for normal/CIN 1, 73% for normal/CIN 2 and 81% for normal/
CIN 3; for the corresponding test sets the classification accuracies were 6
0%, 60% and 67%, respectively.
CONCLUSION: The infrared spectra of exfoliated cervical cells carry informa
tion regarding the presence or absence of dysplasia, and that information i
s recoverable-albeit imperfectly at this stage-from the spectra of of "real
life" cell preparations.