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: 24] [Cited by in F6Publishing: 29] [Article Influence: 4.8] [Reference Citation Analysis]
Number Citing Articles
1 Soares GA, Pereira GM, Romualdo GR, Biasotti GGA, Stoppa EG, Bakuzis AF, Baffa O, Barbisan LF, Miranda JRA. Biodistribution Profile of Magnetic Nanoparticles in Cirrhosis-Associated Hepatocarcinogenesis in Rats by AC Biosusceptometry. Pharmaceutics 2022;14:1907. [DOI: 10.3390/pharmaceutics14091907] [Reference Citation Analysis]
2 Alzoubi O, Arar A, Singh V, Erturk SM, Mozes F, Pavlides M. MRI in liver cirrhosis. Portal Hypertension & Cirrhosis 2022;1:23-41. [DOI: 10.1002/poh2.6] [Reference Citation Analysis]
3 Venkatesh SK, Torbenson MS. Liver fibrosis quantification. Abdom Radiol (NY) 2022;47:1032-52. [PMID: 35022806 DOI: 10.1007/s00261-021-03396-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 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] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
5 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] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
6 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]
7 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] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
8 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: 2] [Reference Citation Analysis]
9 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] [Cited by in Crossref: 4] [Article Influence: 2.0] [Reference Citation Analysis]
10 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] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 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: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
12 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: 17] [Cited by in F6Publishing: 17] [Article Influence: 5.7] [Reference Citation Analysis]
13 Sim KC, Park BJ, Han NY, Sung DJ, Kim MJ, Han YE. Efficacy of ZOOMit coronal diffusion-weighted imaging and MR texture analysis for differentiating between benign and malignant distal bile duct strictures. Abdom Radiol (NY) 2020;45:2418-29. [PMID: 32562051 DOI: 10.1007/s00261-020-02625-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.7] [Reference Citation Analysis]
14 Gulbay M, Ciliz DS, Celikbas AK, Ocalan DT, Sayin B, Ozbay BO, Alp E. Intravoxel incoherent motion parameters in the evaluation of chronic hepatitis B virus-induced hepatic injury: fibrosis and capillarity changes. Abdom Radiol (NY) 2020;45:2345-57. [PMID: 32162021 DOI: 10.1007/s00261-020-02430-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
15 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: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
16 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: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
17 Yang Z, Hu X, Grimm R, Fu C, Yan X, Zeng M, Rao S. Value of whole-liver apparent diffusion coefficient histogram analysis for quantification of liver fibrosis stages. Chin J Acad Radiol 2019;1:6-12. [DOI: 10.1007/s42058-019-00004-3] [Reference Citation Analysis]
18 Cannella R, Borhani AA, Tublin M, Behari J, Furlan A. Diagnostic value of MR-based texture analysis for the assessment of hepatic fibrosis in patients with nonalcoholic fatty liver disease (NAFLD). Abdom Radiol (NY) 2019;44:1816-24. [PMID: 30788556 DOI: 10.1007/s00261-019-01931-6] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 4.0] [Reference Citation Analysis]
19 Li S, Sun X, Chen M, Ying Z, Wan Y, Pi L, Ren B, Cao Q. Liver Fibrosis Conventional and Molecular Imaging Diagnosis Update. J Liver 2019;8:236. [PMID: 31341723] [Reference Citation Analysis]
20 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: 44] [Cited by in F6Publishing: 52] [Article Influence: 8.8] [Reference Citation Analysis]