Signed in as:
filler@godaddy.com
Signed in as:
filler@godaddy.com
. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17-48.
3. de Jong K, Nio CY, Hermans JJ, et al. High prevalence of pancreatic cysts detected by screening magnetic resonance imaging examinations. Clin Gastroenterol Hepatol. 2010;8(9):806-811.
4. Sohn TA, Yeo CJ, Cameron JL, et al. Intraductal papillary mucinous neoplasms of the pancreas: an updated experience. Ann Surg. 2004;239(6):788-797; discussion 797-799.
5. Chang YR, Park JK, Jang JY, Kwon W, Yoon JH, Kim SW. Incidental pancreatic cystic neoplasms in an asymptomatic healthy population of 21,745 individuals: Large-scale, single-center cohort study. Medicine . 2016;95(51):e5535.
6. European Study Group on Cystic Tumours of the Pancreas. European evidence-based guidelines on pancreatic cystic neoplasms. Gut. 2018;67(5):789-804.
7. Wu BU, Sampath K, Berberian CE, et al. Prediction of malignancy in cystic neoplasms of the pancreas: a population-based cohort study. Am J Gastroenterol. 2014;109(1):121-129; quiz 130.
8. Munigala S, Gelrud A, Agarwal B. Risk of pancreatic cancer in patients with pancreatic cyst. Gastrointest Endosc. 2016;84(1):81-86.
9. Gardner TB, Glass LM, Smith KD, et al. Pancreatic cyst prevalence and the risk of mucin-producing adenocarcinoma in US adults. Am J Gastroenterol. 2013;108(10):1546-1550.
10. Klibansky DA, Reid-Lombardo KM, Gordon SR, Gardner TB. The clinical relevance of the increasing incidence of intraductal papillary mucinous neoplasm. Clin Gastroenterol Hepatol. 2012;10(5):555-558.
11. Tanaka M, Fernández-Del Castillo C, Kamisawa T, et al. Revisions of international consensus Fukuoka guidelines for the management of IPMN of the pancreas. Pancreatology. 2017;17(5):738-753.
12. Kneuertz PJ, Pitt HA, Bilimoria KY, et al. Risk of morbidity and mortality following hepato-pancreato-biliary surgery. J Gastrointest Surg. 2012;16(9):1727-1735.
13. Nasir-Moin M, Suriawinata AA, Ren B, et al. Evaluation of an Artificial Intelligence–Augmented Digital System for Histologic Classification of Colorectal Polyps. JAMA Netw Open. 2021;4(11):e2135271-e2135271.
14. Kurita Y, Kuwahara T, Hara K, et al. Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions. Sci Rep. 2019;9(1):6893.
15. Bojesen AB, Mortensen FV, Kirkegård J. Real-Time Identification of Pancreatic Cancer Cases Using Artificial Intelligence Developed on Danish Nationwide Registry Data. JCO Clin Cancer Inform. 2023;7:e2300084.
16. Liang M, Tang W, Xu DM, et al. Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers. Radiology. 2016;281(1):279-288.
17. Cheng HD, Cai X, Chen X, Hu L, Lou X. Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recognit. 2003;36(12):2967-2991.
18. Liu L, Tian Z, Zhang Z, Fei B. Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications. Acad Radiol. 2016;23(8):1024-1046.
19. Bi WL, Hosny A, Schabath MB, et al. Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin. 2019;69(2):127-157.
20. Song Q, diFlorio-Alexander RM, Sieberg RT, et al. Response to commentary on “Automated classification of fat-infiltrated axillary lymph nodes on screening mammograms.” Br J Radiol. 2024;97(1154):481-482.
I would like to acknowledge
Dr. Lynn Foster-Johnson, Ph.D.
Dr. Albert Mulley, MD
Professor Margaret Mulley, MS,
Dr. Timothy Gardner, MD,
Dr. Saeed Hassanpour PhD
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