참고문헌
- RSNA. Quantitative imaging biomarkers alliance. Rsna.org Web site. https://www.rsna.org/en/research/quantitative-imagingbiomarkers-alliance. Accessed June 7, 2020
- Rosenkrantz AB, Mendiratta-Lala M, Bartholmai BJ, Ganeshan D, Abramson RG, Burton KR, et al. Clinical utility of quantitative imaging. Acad Radiol 2015;22:33-49 https://doi.org/10.1016/j.acra.2014.08.011
- Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009;45:228-247 https://doi.org/10.1016/j.ejca.2008.10.026
- Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst 2000;92:205-216 https://doi.org/10.1093/jnci/92.3.205
- de Franchis R; Baveno VI Faculty. Expanding consensus in portal hypertension: report of the Baveno VI Consensus Workshop: stratifying risk and individualizing care for portal hypertension. J Hepatol 2015;63:743-752 https://doi.org/10.1016/j.jhep.2015.05.022
- European Association for Study of Liver; Asociacion Latinoamericana para el Estudio del Higado. EASLALEH Clinical Practice Guidelines: non-invasive tests for evaluation of liver disease severity and prognosis. J Hepatol 2015;63:237-264 https://doi.org/10.1016/j.jhep.2015.04.006
- Berzigotti A, Ashkenazi E, Reverter E, Abraldes JG, Bosch J. Non-invasive diagnostic and prognostic evaluation of liver cirrhosis and portal hypertension. Dis Markers 2011;31:129-138 https://doi.org/10.1155/2011/954812
- Goyal N, Jain N, Rachapalli V, Cochlin DL, Robinson M. Noninvasive evaluation of liver cirrhosis using ultrasound. Clin Radiol 2009;64:1056-1066
- Romero M, Palmer SL, Kahn JA, Ihde L, Lin LM, Kosco A, et al. Imaging appearance in acute liver failure: correlation with clinical and pathology findings. Dig Dis Sci 2014;59:1987-1995 https://doi.org/10.1007/s10620-014-3106-6
- Colli A, Fraquelli M, Andreoletti M, Marino B, Zuccoli E, Conte D. Severe liver fibrosis or cirrhosis: accuracy of US for detection--analysis of 300 cases. Radiology 2003;227:89-94 https://doi.org/10.1148/radiol.2272020193
- Gaiani S, Gramantieri L, Venturoli N, Piscaglia F, Siringo S, D'Errico A, et al. What is the criterion for differentiating chronic hepatitis from compensated cirrhosis? A prospective study comparing ultrasonography and percutaneous liver biopsy. J Hepatol 1997;27:979-985 https://doi.org/10.1016/S0168-8278(97)80140-7
- Smith AD, Branch CR, Zand K, Subramony C, Zhang H, Thaggard K, et al. Liver surface nodularity quantification from routine CT images as a biomarker for detection and evaluation of cirrhosis. Radiology 2016;280:771-781 https://doi.org/10.1148/radiol.2016151542
- Smith AD, Zand KA, Florez E, Sirous R, Shlapak D, Souza F, et al. Liver surface nodularity score allows prediction of cirrhosis decompensation and death. Radiology 2017;283:711-722 https://doi.org/10.1148/radiol.2016160799
- Sartoris R, Rautou PE, Elkrief L, Pollorsi G, Durand F, Valla D, et al. Quantification of liver surface nodularity at CT: utility for detection of portal hypertension. Radiology 2018;289:698-707 https://doi.org/10.1148/radiol.2018181131
- Hobeika C, Cauchy F, Sartoris R, Beaufrere A, Yoh T, Vilgrain V, et al. Relevance of liver surface nodularity for preoperative risk assessment in patients with resectable hepatocellular carcinoma. Br J Surg 2020;107:878-888 https://doi.org/10.1002/bjs.11511
- Sato T, Ito K, Tamada T, Sone T, Noda Y, Higaki A, et al. Age-related changes in normal adult pancreas: MR imaging evaluation. Eur J Radiol 2012;81:2093-2098 https://doi.org/10.1016/j.ejrad.2011.07.014
- Prokesch RW, Chow LC, Beaulieu CF, Bammer R, Jeffrey RB Jr. Isoattenuating pancreatic adenocarcinoma at multi-detector row CT: secondary signs. Radiology 2002;224:764-768 https://doi.org/10.1148/radiol.2243011284
- Manfredi R, Graziani R, Cicero C, Frulloni L, Carbognin G, Mantovani W, et al. Autoimmune pancreatitis: CT patterns and their changes after steroid treatment. Radiology 2008;247:435-443 https://doi.org/10.1148/radiol.2472070598
- Gilbeau JP, Poncelet V, Libon E, Derue G, Heller FR. The density, contour, and thickness of the pancreas in diabetics: CT findings in 57 patients. AJR Am J Roentgenol 1992;159:527-531 https://doi.org/10.2214/ajr.159.3.1503017
- Linn S. The injury severity score--importance and uses. Ann Epidemiol 1995;5:440-446 https://doi.org/10.1016/1047-2797(95)00059-3
- Netter FH. Atlas of human anatomy, 5th ed. Philadelphia: Saunders, 2014:277-282
- Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159-174 https://doi.org/10.2307/2529310
- Sartoris R, Lazareth M, Nivolli A, Dioguardi Burgio M, Vilgrain V, Ronot M. CT-based liver surface nodularity for the detection of clinically significant portal hypertension: defining measurement quality criteria. Abdom Radiol (NY) 2020;45:2755-2763 https://doi.org/10.1007/s00261-020-02519-1
- Matsuda Y. Age-related morphological changes in the pancreas and their association with pancreatic carcinogenesis. Pathol Int 2019;69:450-462 https://doi.org/10.1111/pin.12837
- Heuck A, Maubach PA, Reiser M, Feuerbach S, Allgayer B, Lukas P, et al. Age-related morphology of the normal pancreas on computed tomography. Gastrointest Radiol 1987;12:18-22 https://doi.org/10.1007/BF01885094
- Rebours V, Gaujoux S, d'Assignies G, Sauvanet A, Ruszniewski P, Levy P, et al. Obesity and fatty pancreatic infiltration are risk factors for pancreatic precancerous lesions (PanIN). Clin Cancer Res 2015;21:3522-3528 https://doi.org/10.1158/1078-0432.CCR-14-2385
- Saisho Y, Butler AE, Meier JJ, Monchamp T, Allen-Auerbach M, Rizza RA, et al. Pancreas volumes in humans from birth to age one hundred taking into account sex, obesity, and presence of type-2 diabetes. Clin Anat 2007;20:933-942 https://doi.org/10.1002/ca.20543
- DeSouza SV, Singh RG, Yoon HD, Murphy R, Plank LD, Petrov MS. Pancreas volume in health and disease: a systematic review and meta-analysis. Expert Rev Gastroenterol Hepatol 2018;12:757-766 https://doi.org/10.1080/17474124.2018.1496015
- Khoury T, Asombang AW, Berzin TM, Cohen J, Pleskow DK, Mizrahi M. The clinical implications of fatty pancreas: a concise review. Dig Dis Sci 2017;62:2658-2667 https://doi.org/10.1007/s10620-017-4700-1
- Mathur A, Pitt HA, Marine M, Saxena R, Schmidt CM, Howard TJ, et al. Fatty pancreas: a factor in postoperative pancreatic fistula. Ann Surg 2007;246:1058-1064 https://doi.org/10.1097/SLA.0b013e31814a6906
- Kim SY, Kim H, Cho JY, Lim S, Cha K, Lee KH, et al. Quantitative assessment of pancreatic fat by using unenhanced CT: pathologic correlation and clinical implications. Radiology 2014;271:104-112 https://doi.org/10.1148/radiol.13122883
- Lim S, Bae JH, Chun EJ, Kim H, Kim SY, Kim KM, et al. Differences in pancreatic volume, fat content, and fat density measured by multidetector-row computed tomography according to the duration of diabetes. Acta Diabetol 2014;51:739-748 https://doi.org/10.1007/s00592-014-0581-3
- Jang S, Kim JH, Choi SY, Park SJ, Han JK. Application of computerized 3D-CT texture analysis of pancreas for the assessment of patients with diabetes. PLoS One 2020;15:e0227492
- Ozbulbul NI, Yurdakul M, Tola M. Does the visceral fat tissue show better correlation with the fatty replacement of the pancreas than with BMI? Eurasian J Med 2010;42:24-27 https://doi.org/10.5152/eajm.2010.08
- Singh RG, Cervantes A, Kim JU, Nguyen NN, DeSouza SV, Dokpuang D, et al. Intrapancreatic fat deposition and visceral fat volume are associated with the presence of diabetes after acute pancreatitis. Am J Physiol Gastrointest Liver Physiol 2019;316:G806-G815 https://doi.org/10.1152/ajpgi.00385.2018