Evaluating IPMN and pancreatic carcinoma utilizing quantitative histopathology. (26th September 2016)

• Record Type: Journal Article
• Authors: 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.
• Is Part Of: Cancer medicine. Volume 5:Number 10(2016:Oct.)
• Page Start: 2841
• Page End: 2847
• Publication Date: 2016-09-26
• Subjects: Intraductal papillary mucinous neoplasms -- karyometry -- nuclear chromatin pattern -- pancreatic carcinoma -- quantitative histopathology; 616.994005
• DOI: 10.1002/cam4.923
• Languages: English
• ISSNs: 2045-7634

Abstract

Abstract: 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. Abstract : Retrospective quantitative histopathological analysis of pancreatic lesions was performed to classify pancreatic tissues as chronic pancreatitis (CP), intraductal papillary mucinous neoplasms (IPMN), and pancreatic carcinoma (PC). Classification accuracy with six unique nuclear features yields a quantitative measure of uncertainty in a given classification and provides a means of distinguishing among patients with CP, IPMN, and PC.