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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
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