Page 161 - Read Online
P. 161
Page 228 Grewal et al. Art Int Surg 2023;3:217-32 https://dx.doi.org/10.20517/ais.2023.28
practice? Cancers 2021;13:2708. DOI PubMed PMC
18. Sarhadi VK, Armengol G. Molecular biomarkers in cancer. Biomolecules 2022;12:1021. DOI PubMed PMC
19. Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology 2016;278:563-77. DOI
PubMed PMC
20. Karmazanovsky G, Gruzdev I, Tikhonova V, Kondratyev E, Revishvili A. Computed tomography-based radiomics approach in
pancreatic tumors characterization. Radiol Med 2021;126:1388-95. DOI
21. Mori M, Benedetti G, Partelli S, et al. Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against
delineation uncertainty. Phys Med 2019;57:41-6. DOI
22. van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. Radiomics in medical imaging-“how-to” guide and
critical reflection. Insights Imaging 2020;11:91. DOI PubMed PMC
23. Pavic M, Bogowicz M, Würms X, et al. Influence of inter-observer delineation variability on radiomics stability in different tumor
sites. Acta Oncol 2018;57:1070-4. DOI
24. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin 2023;73:17-48. DOI PubMed
25. Habib JR, Kinny-Köster B, van Oosten F, et al. Periadventitial dissection of the superior mesenteric artery for locally advanced
pancreatic cancer: surgical planning with the “halo sign” and “string sign”. Surgery 2021;169:1026-31. DOI
26. Kinny-Köster B, Habib JR, Wolfgang CL, He J, Javed AA. Favorable tumor biology in locally advanced pancreatic cancer-beyond
CA19-9. J Gastrointest Oncol 2021;12:2484-94. DOI PubMed PMC
27. Chen PT, Chang D, Yen H, et al. Radiomic features at CT can distinguish pancreatic cancer from noncancerous pancreas. Radiol
Imaging Cancer 2021;3:e210010. DOI PubMed PMC
28. Chu LC, Park S, Kawamoto S, et al. Utility of CT radiomics features in differentiation of pancreatic ductal adenocarcinoma from
normal pancreatic tissue. AJR Am J Roentgenol 2019;213:349-57. DOI
29. Qiu JJ, Yin J, Qian W, et al. A novel multiresolution-statistical texture analysis architecture: radiomics-aided diagnosis of PDAC
based on plain CT images. IEEE Trans Med Imaging 2021;40:12-25. DOI
30. Park S, Chu LC, Hruban RH, et al. Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT
radiomics features. Diagn Interv Imaging 2020;101:555-64. DOI
31. Ren S, Zhao R, Zhang J, et al. Diagnostic accuracy of unenhanced CT texture analysis to differentiate mass-forming pancreatitis from
pancreatic ductal adenocarcinoma. Abdom Radiol 2020;45:1524-33. DOI
32. Zhang Y, Cheng C, Liu Z, et al. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal
18
adenocarcinoma in F-FDG PET/CT. Med Phys 2019;46:4520-30. DOI
33. Ziegelmayer S, Kaissis G, Harder F, et al. Deep convolutional neural network-assisted feature extraction for diagnostic discrimination
and feature visualization in pancreatic ductal adenocarcinoma (PDAC) versus autoimmune pancreatitis (AIP). J Clin Med
2020;9:4013. DOI PubMed PMC
34. E L, Xu Y, Wu Z, et al. Differentiation of focal-type autoimmune pancreatitis from pancreatic ductal adenocarcinoma using
radiomics based on multiphasic computed tomography. J Comput Assist Tomogr 2020;44:511-8. DOI PubMed PMC
35. Guo C, Zhuge X, Wang Q, et al. The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma:
the values of CT imaging features and texture analysis. Cancer Imaging 2018;18:37. DOI PubMed PMC
36. He M, Liu Z, Lin Y, et al. Differentiation of atypical non-functional pancreatic neuroendocrine tumor and pancreatic ductal
adenocarcinoma using CT based radiomics. Eur J Radiol 2019;117:102-11. DOI
37. Li J, Lu J, Liang P, et al. Differentiation of atypical pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas: using
whole-tumor CT texture analysis as quantitative biomarkers. Cancer Med 2018;7:4924-31. DOI PubMed PMC
38. Shi YJ, Zhu HT, Liu YL, et al. Radiomics analysis based on diffusion kurtosis imaging and T2 weighted imaging for differentiation
of pancreatic neuroendocrine tumors from solid pseudopapillary tumors. Front Oncol 2020;10:1624. DOI PubMed PMC
39. Amedei A, Niccolai E, Prisco D. Pancreatic cancer: role of the immune system in cancer progression and vaccine-based
immunotherapy. Hum Vaccin Immunother 2014;10:3354-68. DOI PubMed PMC
40. Jeon SK, Lee JM, Joo I, et al. Nonhypervascular pancreatic neuroendocrine tumors: differential diagnosis from pancreatic ductal
adenocarcinomas at MR imaging-retrospective cross-sectional study. Radiology 2017;284:77-87. DOI
41. Ahmed TM, Kawamoto S, Hruban RH, Fishman EK, Soyer P, Chu LC. A primer on artificial intelligence in pancreatic imaging.
Diagn Interv Imaging 2023;104:435-47. DOI PubMed
42. Wei R, Lin K, Yan W, et al. Computer-aided diagnosis of pancreas serous cystic neoplasms: a radiomics method on preoperative
MDCT images. Technol Cancer Res Treat 2019;18:1533033818824339. DOI PubMed PMC
43. Xie H, Ma S, Guo X, Zhang X, Wang X. Preoperative differentiation of pancreatic mucinous cystic neoplasm from macrocystic
serous cystic adenoma using radiomics: preliminary findings and comparison with radiological model. Eur J Radiol
2020;122:108747. DOI
44. Machicado JD, Koay EJ, Krishna SG. Radiomics for the diagnosis and differentiation of pancreatic cystic lesions. Diagnostics
2020;10:505. DOI PubMed PMC
45. Dmitriev K, Kaufman AE, Javed AA, et al. Classification of pancreatic cysts in computed tomography images using a random forest
and convolutional neural network ensemble. In: Descoteaux M, Maier-hein L, Franz A, Jannin P, Collins DL, Duchesne S, editors.
Medical image computing and computer assisted intervention - MICCAI 2017. Cham: Springer International Publishing; 2017. p.
150-8. DOI