Intraductal papillary mucinous neoplasms (IPMN) are pancreatic lesions with uncertain biologic behavior. This study sought objective, accurate prediction tools, through the use of quantitative histopathological signatures of nuclear images, for classifying lesions as chronic pancreatitis (CP), IPMN, or pancreatic carcinoma (PC). Forty-four pancreatic resection patients were retrospectively identified for this study (12 CP; 16 IPMN; 16 PC). Regularized multinomial regression quantitatively classified each specimen as CP, IPMN, or PC in an automated, blinded fashion. Classification certainty was determined by subtracting the smallest classification probability from the largest probability (of the three groups). The certainty function varied from 1.0 (perfectly classified) to 0.0 (random). From each lesion, 180 +/- 22 nuclei were imaged. Overall classification accuracy was 89.6% with six unique nuclear features. No CP cases were misclassified, 1/16 IPMN cases were misclassified, and 4/16 PC cases were misclassified. Certainty function was 0.75 +/- 0.16 for correctly classified lesions and 0.47 +/- 0.10 for incorrectly classified lesions (P = 0.0005). Uncertainty was identified in four of the five misclassified lesions. Quantitative histopathology provides a robust, novel method to distinguish among CP, IPMN, and PC with a quantitative measure of uncertainty. This may be useful when there is uncertainty in diagnosis.
Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/622340 |
Date | 10 1900 |
Creators | Glazer, Evan S., Zhang, Hao Helen, Hill, Kimberly A., Patel, Charmi, Kha, Stephanie T., Yozwiak, Michael L., Bartels, Hubert, Nafissi, Nellie N., Watkins, Joseph C., Alberts, David S., Krouse, Robert S. |
Contributors | Univ Arizona, University of Tennessee Health Sciences Center; Memphis Tennessee, The University of Arizona; Tucson Arizona, University of Colorado; Denver Colorado, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, The University of Arizona; Tucson Arizona, CMC Veterans Affairs Medical Center; Philadelphia Pennsylvania |
Publisher | WILEY-BLACKWELL |
Source Sets | University of Arizona |
Language | English |
Detected Language | English |
Type | Article |
Rights | This is an open access article under the terms of the Creative Commons Attribution License. |
Relation | http://doi.wiley.com/10.1002/cam4.923 |
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