{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T05:08:38Z","timestamp":1769317718314,"version":"3.49.0"},"reference-count":53,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2013,2,6]],"date-time":"2013-02-06T00:00:00Z","timestamp":1360108800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancer Cytopathology"],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:sec><jats:title>BACKGROUND<\/jats:title><jats:p>Acquisition of visual interpretation skills in cytopathology may involve 2 strategies. Analytic strategies require trainees to base their interpretive decisions on carefully considered and often exhaustive cytomorphologic feature lists, a process that can be time\u2010consuming and inefficient. In contrast, nonanalytic pattern recognition strategies are rarely encouraged during training, even though this approach is characteristic of expert diagnostic behavior. This study evaluated the potential role of nonanalytic learning in cytopathology as an efficient alternative to analytic training.<\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS<\/jats:title><jats:p>Forty\u2010nine cytology novice participants undertook an initial image interpretation test to obtain baseline diagnostic accuracy (test 1). Twenty\u2010four participants subsequently received training in basic cervical cytomorphology and were given a list of cell features for future reference (the \u201canalytic\u201d group). The remaining 25 participants were simply shown 20 nonannotated paired images of normal and abnormal cervical cells (the \u201cnonanalytic\u201d group). Following a practice phase, both groups were retested (test 2). Prior to a final test (test 3), participants in both groups were instructed to adopt a combined analytic\/nonanalytic diagnostic strategy. Diagnostic accuracy and response times were measured in each test.<\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS<\/jats:title><jats:p>Diagnostic accuracy in both groups improved significantly between tests 1 and 2 (<jats:italic>P<\/jats:italic>&lt;.001) but decreased between tests 2 and 3 (<jats:italic>P<\/jats:italic>&lt;.05). Speed of response to test images was generally faster under nonanalytic than under analytic conditions.<\/jats:p><\/jats:sec><jats:sec><jats:title>CONCLUSIONS<\/jats:title><jats:p>Nonanalytic reasoning in cytopathology image interpretation can be as accurate as traditional feature\u2010based reasoning. Encouraging trainees to adopt pattern recognition strategies may help to expedite the acquisition of visual interpretation skills in cytopathology training programs, yet combining analytic and nonanalytic reasoning do not appear to be effective. 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