Detection of false-negative Pap smears using the PAPNET system

Abstract

Aims and background: False-negative cytological diagnoses represent the critical point of a screening program for early detection of cervical cancer. Computer-assisted reading using neural network technology has been suggested as a possible approach to manage the problem. The study assessed the performance and the cost-outcome ratio of computer-assisted versus conventional manual Pap smear reading.

Methods: One thousand routine smears, seeded with 81 false-negative smears, were independently interpreted by two readers by conventional and PAPNET-assisted reading. Results of both readings were compared in terms of: a)sensitivity for false-negative smears, b)specificity, and c) cost-outcome (cost per CIN2+ lesion detected).

Results: PAPNET-assisted reading showed a small increase in sensitivity only for one reader. Including the cost of PAPNET, the cost per detected lesion would be $7,543 and the cost per additional detected lesion would be $25,748.

Conclusions: The present study provides further evidence that PAPNET-assisted screening may allow the detection of a few extra cases of CIN2+ lesions with respect to conventional reading, though at a very high cost.