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For: Varenika V, Fu Y, Maher JJ, Gao D, Kakar S, Cabarrus MC, Yeh BM. Hepatic fibrosis: evaluation with semiquantitative contrast-enhanced CT. Radiology 2013;266:151-8. [PMID: 23169796 DOI: 10.1148/radiol.12112452] [Cited by in Crossref: 53] [Cited by in F6Publishing: 50] [Article Influence: 5.9] [Reference Citation Analysis]
Number Citing Articles
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7 Yeung J, Sivarajan S, Treibel TA, Rosmini S, Fontana M, Gillmore JD, Hawkins PN, Punwani S, Moon JC, Taylor SA, Bandula S. Measurement of liver and spleen interstitial volume in patients with systemic amyloid light-chain amyloidosis using equilibrium contrast CT. Abdom Radiol (NY) 2017;42:2646-51. [PMID: 28567484 DOI: 10.1007/s00261-017-1194-4] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
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10 Moghadam FF. Using Nanoparticles in Medicine for Liver Cancer Imaging. Oman Med J 2017;32:269-74. [PMID: 28804578 DOI: 10.5001/omj.2017.54] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 1.3] [Reference Citation Analysis]
11 Inokuchi Y, Uematsu M, Takashina T. Diagnostic accuracy of the attenuation value in abdominal contrast enhanced dynamic multi-detector-row computed tomography for esophageal varices in patients with liver cirrhosis. Eur J Radiol Open 2021;8:100347. [PMID: 33997144 DOI: 10.1016/j.ejro.2021.100347] [Reference Citation Analysis]
12 Tan CH, Venkatesh SK. Magnetic Resonance Elastography and Other Magnetic Resonance Imaging Techniques in Chronic Liver Disease: Current Status and Future Directions. Gut Liver 2016;10:672-86. [PMID: 27563019 DOI: 10.5009/gnl15492] [Cited by in Crossref: 23] [Cited by in F6Publishing: 22] [Article Influence: 5.8] [Reference Citation Analysis]
13 Wathen CA, Foje N, van Avermaete T, Miramontes B, Chapaman SE, Sasser TA, Kannan R, Gerstler S, Leevy WM. In vivo X-ray computed tomographic imaging of soft tissue with native, intravenous, or oral contrast. Sensors (Basel) 2013;13:6957-80. [PMID: 23711461 DOI: 10.3390/s130606957] [Cited by in Crossref: 29] [Cited by in F6Publishing: 23] [Article Influence: 3.6] [Reference Citation Analysis]
14 Taibbi A, Picone D, Midiri M, La Grutta L, Bartolotta TV. Diffuse Liver Diseases: Role of imaging.Semin Ultrasound CT MR. 2018;39:193-205. [PMID: 29571555 DOI: 10.1053/j.sult.2017.11.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
15 Fukukura Y, Kumagae Y, Higashi R, Hakamada H, Takumi K, Maemura K, Higashi M, Kamimura K, Nakajo M, Yoshiura T. Extracellular volume fraction determined by equilibrium contrast-enhanced multidetector computed tomography as a prognostic factor in unresectable pancreatic adenocarcinoma treated with chemotherapy. Eur Radiol 2019;29:353-61. [DOI: 10.1007/s00330-018-5570-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
16 Bashir MR, Horowitz JM, Kamel IR, Arif-Tiwari H, Asrani SK, Chernyak V, Goldstein A, Grajo JR, Hindman NM, Kamaya A, McNamara MM, Porter KK, Solnes LB, Srivastava PK, Zaheer A, Carucci LR; Expert Panel on Gastrointestinal Imaging. ACR Appropriateness Criteria® Chronic Liver Disease. J Am Coll Radiol 2020;17:S70-80. [PMID: 32370979 DOI: 10.1016/j.jacr.2020.01.023] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
17 Petitclerc L, Sebastiani G, Gilbert G, Cloutier G, Tang A. Liver fibrosis: Review of current imaging and MRI quantification techniques. J Magn Reson Imaging. 2017;45:1276-1295. [PMID: 27981751 DOI: 10.1002/jmri.25550] [Cited by in Crossref: 89] [Cited by in F6Publishing: 78] [Article Influence: 17.8] [Reference Citation Analysis]
18 Nagayama Y, Kato Y, Inoue T, Nakaura T, Oda S, Kidoh M, Ikeda O, Hirai T. Liver fibrosis assessment with multiphasic dual-energy CT: diagnostic performance of iodine uptake parameters. Eur Radiol 2021;31:5779-90. [PMID: 33768289 DOI: 10.1007/s00330-021-07706-2] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Tsurusaki M, Sofue K, Hori M, Sasaki K, Ishii K, Murakami T, Kudo M. Dual-Energy Computed Tomography of the Liver: Uses in Clinical Practices and Applications. Diagnostics (Basel) 2021;11:161. [PMID: 33499201 DOI: 10.3390/diagnostics11020161] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
20 Han P, Zhou Z, Wang R, Wang H, Sun Z, Wang X, Xu L. Quantitative Assessment of Extracellular Volume in Doxorubicin-Induced Liver Injury in Beagle Models by Equilibrium Computed Tomography. J Comput Assist Tomogr 2020;44:204-8. [PMID: 31972750 DOI: 10.1097/RCT.0000000000000968] [Reference Citation Analysis]
21 Horowitz JM, Venkatesh SK, Ehman RL, Jhaveri K, Kamath P, Ohliger MA, Samir AE, Silva AC, Taouli B, Torbenson MS, Wells ML, Yeh B, Miller FH. Evaluation of hepatic fibrosis: A review from the society of abdominal radiology disease focus panel. Abdom Radiol (NY). 2017;42:2037-2053. [PMID: 28624924 DOI: 10.1007/s00261-017-1211-7] [Cited by in Crossref: 55] [Cited by in F6Publishing: 50] [Article Influence: 13.8] [Reference Citation Analysis]
22 Guo SL, Su LN, Zhai YN, Chirume WM, Lei JQ, Zhang H, Yang L, Shen XP, Wen XX, Guo YM. The clinical value of hepatic extracellular volume fraction using routine multiphasic contrast-enhanced liver CT for staging liver fibrosis. Clin Radiol 2017;72:242-6. [PMID: 28341030 DOI: 10.1016/j.crad.2016.10.003] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 4.2] [Reference Citation Analysis]
23 Kanki A, Maeba K, Sotozono H, Yasokawa K, Higaki A, Yamamoto A, Tamada T. Evaluation of liver fibrosis using hepatic extracellular volume fraction by contrast-enhanced computed tomography before and after direct-acting antiviral therapy in patients with chronic hepatitis C infection: comparison with serological liver fibrosis markers. Br J Radiol 2021;94:20210045. [PMID: 34586878 DOI: 10.1259/bjr.20210045] [Reference Citation Analysis]
24 Ito E, Sato K, Yamamoto R, Sakamoto K, Urakawa H, Yoshimitsu K. Usefulness of iodine-blood material density images in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine dual-energy liver CT protocol equilibrium phase data: preliminary experience. Jpn J Radiol 2020;38:365-73. [DOI: 10.1007/s11604-019-00918-z] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
25 Lubner MG, Pickhardt PJ. Multidetector Computed Tomography for Retrospective, Noninvasive Staging of Liver Fibrosis. Gastroenterol Clin North Am 2018;47:569-84. [PMID: 30115438 DOI: 10.1016/j.gtc.2018.04.012] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
26 Bak S, Kim JE, Bae K, Cho JM, Choi HC, Park MJ, Choi HY, Shin HS, Lee SM, Kim HO. Quantification of liver extracellular volume using dual-energy CT: utility for prediction of liver-related events in cirrhosis. Eur Radiol 2020;30:5317-26. [DOI: 10.1007/s00330-020-06876-9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
27 Schawkat K, Ciritsis A, von Ulmenstein S, Honcharova-Biletska H, Jüngst C, Weber A, Gubler C, Mertens J, Reiner CS. Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology. Eur Radiol 2020;30:4675-85. [PMID: 32270315 DOI: 10.1007/s00330-020-06831-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 14.0] [Reference Citation Analysis]
28 Zhang W, Kong X, Wang ZJ, Luo S, Huang W, Zhang LJ. Dynamic Contrast-Enhanced Magnetic Resonance Imaging with Gd-EOB-DTPA for the Evaluation of Liver Fibrosis Induced by Carbon Tetrachloride in Rats. PLoS One 2015;10:e0129621. [PMID: 26076199 DOI: 10.1371/journal.pone.0129621] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 1.5] [Reference Citation Analysis]
29 Kim SY, Wu EH, Park SH, Wang ZJ, Hope TA, Yee J, Zhao LQ, Chang WC, Yeh BM. Comparison of hepatocellular carcinoma conspicuity on hepatobiliary phase images with gadoxetate disodium vs. delayed phase images with extracellular cellular contrast agent. Abdom Radiol (NY) 2016;41:1522-31. [PMID: 26971341 DOI: 10.1007/s00261-016-0703-1] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
30 Sosna J. Science to practice: can semiquantitative contrast-enhanced CT be used to evaluate hepatic fibrosis? Radiology. 2013;266:1-2. [PMID: 23264521 DOI: 10.1148/radiol.12122095] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
31 Wang HQ, Jin KP, Zeng MS, Chen CZ, Rao SX, Ji Y, Fu CX, Sheng RF. Assessing liver fibrosis in chronic hepatitis B using MR extracellular volume measurements: Comparison with serum fibrosis indices. Magn Reson Imaging 2019;59:39-45. [PMID: 30849483 DOI: 10.1016/j.mri.2019.03.002] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
32 Yoon JH, Lee JM, Klotz E, Jeon JH, Lee K, Han JK, Choi BI. Estimation of Hepatic Extracellular Volume Fraction Using Multiphasic Liver Computed Tomography for Hepatic Fibrosis Grading: . Investigative Radiology 2015;50:290-6. [DOI: 10.1097/rli.0000000000000123] [Cited by in Crossref: 39] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
33 Sever AZ, Sever M, Vidovic T, Lojo N, Kolenc D, Vuletic LB, Drmic D, Kokot A, Zoricic I, Coric M, Vlainic J, Poljak L, Seiwerth S, Sikiric P. Stable gastric pentadecapeptide BPC 157 in the therapy of the rats with bile duct ligation. Eur J Pharmacol. 2019;847:130-142. [PMID: 30690000 DOI: 10.1016/j.ejphar.2019.01.030] [Cited by in Crossref: 17] [Cited by in F6Publishing: 17] [Article Influence: 8.5] [Reference Citation Analysis]
34 Marco-Rius I, von Morze C, Sriram R, Cao P, Chang GY, Milshteyn E, Bok RA, Ohliger MA, Pearce D, Kurhanewicz J, Larson PE, Vigneron DB, Merritt M. Monitoring acute metabolic changes in the liver and kidneys induced by fructose and glucose using hyperpolarized [2-13 C]dihydroxyacetone. Magn Reson Med 2017;77:65-73. [PMID: 27859575 DOI: 10.1002/mrm.26525] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 4.2] [Reference Citation Analysis]
35 Mastrodicasa D, Willemink MJ, Duran C, Pizzi AD, Hinostroza V, Molvin L, Khalaf M, Jeffrey RB, Patel BN. Non-invasive assessment of cirrhosis using multiphasic dual-energy CT iodine maps: correlation with model for end-stage liver disease score. Abdom Radiol (NY) 2021;46:1931-40. [PMID: 33211150 DOI: 10.1007/s00261-020-02857-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
36 Jin K, Wang H, Zeng M, Rao S, Yan L, Ji Y, Fu C, Sheng R. A comparative study of MR extracellular volume fraction measurement and two-dimensional shear-wave elastography in assessment of liver fibrosis with chronic hepatitis B. Abdom Radiol (NY) 2019;44:1407-14. [PMID: 30535519 DOI: 10.1007/s00261-018-1860-1] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
37 Yoon JH, Lee JM, Kim JH, Lee KB, Kim H, Hong SK, Yi NJ, Lee KW, Suh KS. Hepatic fibrosis grading with extracellular volume fraction from iodine mapping in spectral liver CT. Eur J Radiol 2021;137:109604. [PMID: 33618210 DOI: 10.1016/j.ejrad.2021.109604] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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40 Shinagawa Y, Sakamoto K, Sato K, Ito E, Urakawa H, Yoshimitsu K. Usefulness of new subtraction algorithm in estimating degree of liver fibrosis by calculating extracellular volume fraction obtained from routine liver CT protocol equilibrium phase data: Preliminary experience. European Journal of Radiology 2018;103:99-104. [DOI: 10.1016/j.ejrad.2018.04.012] [Cited by in Crossref: 15] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]
41 Bottari A, Silipigni S, Carerj ML, Cattafi A, Maimone S, Marino MA, Mazziotti S, Pitrone A, Squadrito G, Ascenti G. Dual-source dual-energy CT in the evaluation of hepatic fractional extracellular space in cirrhosis. Radiol Med 2020;125:7-14. [PMID: 31587181 DOI: 10.1007/s11547-019-01089-7] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
42 Wang ZJ, Zhang TT, An C, Ko AH, Tempero M, Collisson E, Yeh BM. Estimation of Fractional Extracellular Space at CT for Predicting Chemotherapy Response and Survival in Pancreatic Ductal Adenocarcinoma. AJR Am J Roentgenol 2020;215:610-6. [PMID: 32755156 DOI: 10.2214/AJR.19.22462] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
43 Elbanna KY, Mansoori B, Mileto A, Rogalla P, S. Guimarães L. Dual-energy CT in diffuse liver disease: is there a role? Abdom Radiol 2020;45:3413-24. [DOI: 10.1007/s00261-020-02702-4] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 4.0] [Reference Citation Analysis]
44 Yamada Y, Masuda A, Sofue K, Ueshima E, Shiomi H, Sakai A, Kobayashi T, Ikegawa T, Tanaka S, Nakano R, Tanaka T, Kakihara M, Ashina S, Tsujimae M, Yamakawa K, Abe S, Gonda M, Masuda S, Inomata N, Kutsumi H, Itoh T, Murakami T, Kodama Y. Prediction of pancreatic atrophy after steroid therapy using equilibrium-phase contrast computed tomography imaging in autoimmune pancreatitis. JGH Open 2020;4:677-83. [PMID: 32782956 DOI: 10.1002/jgh3.12316] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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46 Liu HF, Wang Q, Du YN, Zhu ZH, Li YF, Zou LQ, Xing W. Dynamic contrast-enhanced MRI with Gd-EOB-DTPA for the quantitative assessment of early-stage liver fibrosis induced by carbon tetrachloride in rabbits. Magn Reson Imaging 2020;70:57-63. [PMID: 32325235 DOI: 10.1016/j.mri.2020.04.010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
47 Fukukura Y, Kumagae Y, Higashi R, Hakamada H, Nakajo M, Maemura K, Arima S, Yoshiura T. Estimation of Extracellular Volume Fraction With Routine Multiphasic Pancreatic Computed Tomography to Predict the Survival of Patients With Stage IV Pancreatic Ductal Adenocarcinoma. Pancreas 2019;48:1360-6. [DOI: 10.1097/mpa.0000000000001427] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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50 Cicero G, Mazziotti S, Silipigni S, Blandino A, Cantisani V, Pergolizzi S, D'Angelo T, Stagno A, Maimone S, Squadrito G, Ascenti G. Dual-energy CT quantification of fractional extracellular space in cirrhotic patients: comparison between early and delayed equilibrium phases and correlation with oesophageal varices. Radiol Med 2021;126:761-7. [PMID: 33715036 DOI: 10.1007/s11547-021-01341-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]