BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Petitclerc L, Gilbert G, Nguyen BN, Tang A. Liver Fibrosis Quantification by Magnetic Resonance Imaging. Top Magn Reson Imaging 2017;26:229-41. [PMID: 28858038 DOI: 10.1097/RMR.0000000000000149] [Cited by in Crossref: 17] [Cited by in F6Publishing: 8] [Article Influence: 4.3] [Reference Citation Analysis]
Number Citing Articles
1 Watson TA, Barber J, Woodley H. Paediatric gastrointestinal and hepatobiliary radiology: why do we need subspecialists, and what is new? Pediatr Radiol 2021;51:554-69. [PMID: 33743039 DOI: 10.1007/s00247-020-04778-y] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
2 Zhang T, Pandey G, Xu L, Chen W, Gu L, Wu Y, Chen X. The Value of TTPVI in Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Cancer Manag Res 2020;12:4097-105. [PMID: 32581583 DOI: 10.2147/CMAR.S245475] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Tang A, Dzyubak B, Yin M, Schlein A, Henderson WC, Hooker JC, Delgado TI, Middleton MS, Zheng L, Wolfson T, Gamst A, Loomba R, Ehman RL, Sirlin CB. MR elastography in nonalcoholic fatty liver disease: inter-center and inter-analysis-method measurement reproducibility and accuracy at 3T. Eur Radiol 2021. [PMID: 34928415 DOI: 10.1007/s00330-021-08381-z] [Reference Citation Analysis]
4 Venkatesh SK, Torbenson MS. Liver fibrosis quantification. Abdom Radiol. [DOI: 10.1007/s00261-021-03396-y] [Reference Citation Analysis]
5 Jhang ZE, Wu KL, Chen CB, Chen YL, Lin PY, Chou CT. Diagnostic value of spleen stiffness by magnetic resonance elastography for prediction of esophageal varices in cirrhotic patients. Abdom Radiol (NY) 2021;46:526-33. [PMID: 32676734 DOI: 10.1007/s00261-020-02628-x] [Reference Citation Analysis]
6 Zhu L, Mou Q, Wang Y, Zhu Z, Cheng M. Resveratrol contributes to the inhibition of liver fibrosis by inducing autophagy via the microRNA‑20a‑mediated activation of the PTEN/PI3K/AKT signaling pathway. Int J Mol Med 2020;46:2035-46. [PMID: 33125088 DOI: 10.3892/ijmm.2020.4748] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
7 Cervelli R, Cencini M, Buonincontri G, Campana F, Cacciato Insilla A, Aringhieri G, De Simone P, Boggi U, Campani D, Tosetti M, Crocetti L. 7-T MRI of explanted liver and ex-vivo pancreatic specimens: prospective study protocol of radiological-pathological correlation feasibility (the EXLIPSE project). Eur Radiol Exp 2020;4:58. [PMID: 33057851 DOI: 10.1186/s41747-020-00185-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Leone A, Macagnino S, D'Ambra G, Veltri G, Perla D. Systemic Mastocytosis: Radiological Point of View. Mediterr J Hematol Infect Dis 2021;13:e2021056. [PMID: 34527208 DOI: 10.4084/MJHID.2021.056] [Reference Citation Analysis]
9 Li C, Li R, Zhang W. Progress in non-invasive detection of liver fibrosis. Cancer Biol Med 2018;15:124-36. [PMID: 29951337 DOI: 10.20892/j.issn.2095-3941.2018.0018] [Cited by in Crossref: 31] [Cited by in F6Publishing: 30] [Article Influence: 7.8] [Reference Citation Analysis]
10 Caraiani C, Yi D, Petresc B, Dietrich C. Indications for abdominal imaging: When and what to choose? J Ultrason 2020;20:e43-54. [PMID: 32320166 DOI: 10.15557/JoU.2020.0008] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
11 Takayama Y, Nishie A, Ishimatsu K, Ushijima Y, Fujita N, Kubo Y, Yoshizumi T, Kouhashi KI, Maehara J, Akamine Y, Ishigami K. Diagnostic potential of T1ρ and T2 relaxations in assessing the severity of liver fibrosis and necro-inflammation. Magn Reson Imaging 2022;87:104-12. [PMID: 34999164 DOI: 10.1016/j.mri.2022.01.002] [Reference Citation Analysis]
12 Gourtsoyianni S, Santinha J, Matos C, Papanikolaou N. Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease. Abdom Radiol (NY) 2020;45:3523-31. [PMID: 33064169 DOI: 10.1007/s00261-020-02772-4] [Reference Citation Analysis]
13 Kim SY, Kim H, Lee J, Jung SI, Moon MH, Joo KW, Cho JY. Quantitative magnetic resonance imaging of chronic kidney disease: an experimental in vivo study using rat chronic kidney disease models. Acta Radiol 2021;:2841851211065143. [PMID: 34928730 DOI: 10.1177/02841851211065143] [Reference Citation Analysis]