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For: Schmid-Tannwald C, Oto A, Reiser MF, Zech CJ. Diffusion-weighted MRI of the abdomen: current value in clinical routine. J Magn Reson Imaging. 2013;37:35-47. [PMID: 23255414 DOI: 10.1002/jmri.23643] [Cited by in Crossref: 36] [Cited by in F6Publishing: 31] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Kim B, Kim JH, Byun JH, Kim HJ, Lee SS, Kim SY, Lee MG. IgG4-related kidney disease: MRI findings with emphasis on the usefulness of diffusion-weighted imaging. Eur J Radiol. 2014;83:1057-1062. [PMID: 24768583 DOI: 10.1016/j.ejrad.2014.03.033] [Cited by in Crossref: 28] [Cited by in F6Publishing: 23] [Article Influence: 3.5] [Reference Citation Analysis]
2 Priola AM, Priola SM, Gned D, Piacibello E, Sardo D, Parvis G, Torti D, Ardissone F, Veltri A. Diffusion-weighted quantitative MRI to diagnose benign conditions from malignancies of the anterior mediastinum: Improvement of diagnostic accuracy by comparing perfusion-free to perfusion-sensitive measurements of the apparent diffusion coefficient: DW-MRI of the Anterior Mediastinum. J Magn Reson Imaging 2016;44:758-69. [DOI: 10.1002/jmri.25203] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 2.3] [Reference Citation Analysis]
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4 Bruckmann NM, Rischpler C, Kirchner J, Umutlu L, Herrmann K, Ingenwerth M, Theurer S, Lahner H, Antoch G, Sawicki LM. Correlation between contrast enhancement, standardized uptake value (SUV), and diffusion restriction (ADC) with tumor grading in patients with therapy-naive neuroendocrine neoplasms using hybrid 68Ga-DOTATOC PET/MRI. Eur J Radiol 2021;137:109588. [PMID: 33639542 DOI: 10.1016/j.ejrad.2021.109588] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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6 Ciritsis A, Rossi C, Wurnig MC, Phi Van V, Boss A. Intravoxel Incoherent Motion: Model-Free Determination of Tissue Type in Abdominal Organs Using Machine Learning. Invest Radiol. 2017;52:747-757. [PMID: 28742733 DOI: 10.1097/rli.0000000000000400] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
7 Koc Z, Erbay G. Optimal b value in diffusion-weighted imaging for differentiation of abdominal lesions: Differentiation of Abdominal Lesions. J Magn Reson Imaging 2014;40:559-66. [DOI: 10.1002/jmri.24403] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 3.1] [Reference Citation Analysis]
8 Ciritsis A, Rossi C, Marcon M, Van VDP, Boss A. Accelerated diffusion-weighted imaging for lymph node assessment in the pelvis applying simultaneous multislice acquisition: A healthy volunteer study. Medicine (Baltimore) 2018;97:e11745. [PMID: 30095628 DOI: 10.1097/MD.0000000000011745] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Pereira JA, Rosado E, Bali M, Metens T, Chao SL. Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade. Abdom Imaging 2015;40:3122-8. [PMID: 26280127 DOI: 10.1007/s00261-015-0524-7] [Cited by in Crossref: 33] [Cited by in F6Publishing: 31] [Article Influence: 5.5] [Reference Citation Analysis]
10 Yu JI, Park HC, Lim DH, Choi Y, Jung SH, Paik SW, Kim SH, Jeong WK, Kim YK. The role of diffusion-weighted magnetic resonance imaging in the treatment response evaluation of hepatocellular carcinoma patients treated with radiation therapy. Int J Radiat Oncol Biol Phys. 2014;89:814-821. [PMID: 24969795 DOI: 10.1016/j.ijrobp.2014.03.020] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 1.8] [Reference Citation Analysis]
11 Fukukura Y, Shindo T, Hakamada H, Takumi K, Umanodan T, Nakajo M, Kamimura K, Umanodan A, Ideue J, Yoshiura T. Diffusion-weighted MR imaging of the pancreas: optimizing b-value for visualization of pancreatic adenocarcinoma. Eur Radiol 2016;26:3419-27. [PMID: 26738506 DOI: 10.1007/s00330-015-4174-5] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
12 Herek D, Karabulut N, Kocyıgıt A, Yagcı AB. Evaluation of Free Breathing Versus Breath Hold Diffusion Weighted Imaging in Terms Apparent Diffusion Coefficient (ADC) and Signal-to-Noise Ratio (SNR) Values for Solid Abdominal Organs. Pol J Radiol 2016;81:502-6. [PMID: 27822326 DOI: 10.12659/PJR.895868] [Cited by in Crossref: 1] [Article Influence: 0.2] [Reference Citation Analysis]
13 Song SH, Jeong WK, Choi D, Kim YK, Park HC, Yu JI. Evaluation of early treatment response to radiotherapy for HCC using pre- and post-treatment MRI. Acta Radiol 2019;60:826-35. [PMID: 30282483 DOI: 10.1177/0284185118805253] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
14 Weber M, Kessler L, Schaarschmidt B, Fendler WP, Lahner H, Antoch G, Umutlu L, Herrmann K, Rischpler C. Treatment-related changes in neuroendocrine tumors as assessed by textural features derived from 68Ga-DOTATOC PET/MRI with simultaneous acquisition of apparent diffusion coefficient. BMC Cancer 2020;20:326. [PMID: 32299391 DOI: 10.1186/s12885-020-06836-y] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
15 Koc Z, Erbay G, Karadeli E. Internal comparison standard for abdominal diffusion-weighted imaging. Acta Radiol 2017;58:1029-36. [DOI: 10.1177/0284185116681040] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
16 Choi TW, Lee JM, Kim JH, Yu MH, Han JK, Choi BI. Comparison of Multidetector CT and Gadobutrol-Enhanced MR Imaging for Evaluation of Small, Solid Pancreatic Lesions. Korean J Radiol 2016;17:509-21. [PMID: 27390542 DOI: 10.3348/kjr.2016.17.4.509] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 1.3] [Reference Citation Analysis]
17 Johnson LM, Turkbey B, Figg WD, Choyke PL. Multiparametric MRI in prostate cancer management. Nat Rev Clin Oncol 2014;11:346-53. [PMID: 24840072 DOI: 10.1038/nrclinonc.2014.69] [Cited by in Crossref: 87] [Cited by in F6Publishing: 82] [Article Influence: 10.9] [Reference Citation Analysis]
18 Tokunaga K, Arizono S, Shimizu H, Fujimoto K, Kurata M, Minamiguchi S, Isoda H, Togashi K. Optimizing b-values for accurate depiction of pancreatic cancer with tumor-associated pancreatitis on computed diffusion-weighted imaging. Clin Imaging 2020;61:20-6. [PMID: 31954347 DOI: 10.1016/j.clinimag.2020.01.007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Aubé C, Bazeries P, Lebigot J, Cartier V, Boursier J. Liver fibrosis, cirrhosis, and cirrhosis-related nodules: Imaging diagnosis and surveillance. Diagnostic and Interventional Imaging 2017;98:455-68. [DOI: 10.1016/j.diii.2017.03.003] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
20 Priola AM, Priola SM, Gned D, Giraudo MT, Brundu M, Righi L, Veltri A. Diffusion-weighted quantitative MRI of pleural abnormalities: Intra- and interobserver variability in the apparent diffusion coefficient measurements. J Magn Reson Imaging. 2017;46:769-782. [PMID: 28117923 DOI: 10.1002/jmri.25633] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.2] [Reference Citation Analysis]
21 Kambadakone AR, Fung A, Gupta RT, Hope TA, Fowler KJ, Lyshchik A, Ganesan K, Yaghmai V, Guimaraes AR, Sahani DV, Miller FH. LI-RADS technical requirements for CT, MRI, and contrast-enhanced ultrasound. Abdom Radiol 2018;43:56-74. [DOI: 10.1007/s00261-017-1325-y] [Cited by in Crossref: 26] [Cited by in F6Publishing: 24] [Article Influence: 5.2] [Reference Citation Analysis]
22 Fukukura Y, Kumagae Y, Hakamada H, Shindo T, Takumi K, Kamimura K, Nakajo M, Umanodan A, Yoshiura T. Computed diffusion-weighted MR imaging for visualization of pancreatic adenocarcinoma: Comparison with acquired diffusion-weighted imaging. European Journal of Radiology 2017;95:39-45. [DOI: 10.1016/j.ejrad.2017.07.022] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
23 Girometti R, Maieron M, Lissandrello G, Bazzocchi M, Zuiani C. Test-retest reliability of diffusion tensor imaging of the liver at 3.0 T. Radiol Med. 2015;120:489-497. [PMID: 25421264 DOI: 10.1007/s11547-014-0479-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
24 Chan RW, von Deuster C, Giese D, Stoeck CT, Harmer J, Aitken AP, Atkinson D, Kozerke S. Characterization and correction of eddy-current artifacts in unipolar and bipolar diffusion sequences using magnetic field monitoring. J Magn Reson 2014;244:74-84. [PMID: 24880880 DOI: 10.1016/j.jmr.2014.04.018] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 2.4] [Reference Citation Analysis]
25 Shenoy-Bhangle A, Baliyan V, Kordbacheh H, Guimaraes AR, Kambadakone A. Diffusion weighted magnetic resonance imaging of liver: Principles, clinical applications and recent updates. World J Hepatol 2017; 9(26): 1081-1091 [PMID: 28989564 DOI: 10.4254/wjh.v9.i26.1081] [Cited by in Crossref: 24] [Cited by in F6Publishing: 18] [Article Influence: 4.8] [Reference Citation Analysis]
26 Kaya B, Koc Z. Diffusion-weighted MRI and optimal b-value for characterization of liver lesions. Acta Radiol. 2014;55:532-542. [PMID: 23982322 DOI: 10.1177/0284185113502017] [Cited by in Crossref: 21] [Cited by in F6Publishing: 18] [Article Influence: 2.3] [Reference Citation Analysis]
27 Aubé C. Imaging modalities for the diagnosis of hepatic fibrosis and cirrhosis. Clin Res Hepatol Gastroenterol. 2015;39:38-44. [PMID: 25037179 DOI: 10.1016/j.clinre.2014.06.006] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 1.6] [Reference Citation Analysis]
28 Brandejsky V, Boesch C, Kreis R. Proton diffusion tensor spectroscopy of metabolites in human muscle in vivo. Magn Reson Med 2015;73:481-7. [PMID: 24554491 DOI: 10.1002/mrm.25139] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
29 Sandrasegaran K. Functional MR imaging of the abdomen. Radiol Clin North Am. 2014;52:883-903. [PMID: 24889176 DOI: 10.1016/j.rcl.2014.02.018] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.5] [Reference Citation Analysis]
30 Sirin S, Kathemann S, Schweiger B, Hahnemann ML, Forsting M, Lauenstein TC, Kinner S. Magnetic resonance colonography including diffusion-weighted imaging in children and adolescents with inflammatory bowel disease: do we really need intravenous contrast? Invest Radiol. 2015;50:32-39. [PMID: 25215934 DOI: 10.1097/rli.0000000000000092] [Cited by in Crossref: 19] [Cited by in F6Publishing: 3] [Article Influence: 2.7] [Reference Citation Analysis]
31 Weber M, Kessler L, Schaarschmidt B, Fendler WP, Lahner H, Antoch G, Umutlu L, Herrmann K, Rischpler C. Textural analysis of hybrid DOTATOC-PET/MRI and its association with histological grading in patients with liver metastases from neuroendocrine tumors. Nucl Med Commun 2020;41:363-9. [PMID: 31977752 DOI: 10.1097/MNM.0000000000001150] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
32 Zhu M, Zhang C, Yan J, Sun J, Zhao X, Zhang L, Yin L. Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis. Eur Radiol 2021. [PMID: 33847811 DOI: 10.1007/s00330-021-07880-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Kuipers H, Hoogwater FJ, Holtman GA, van der Hoorn A, de Boer MT, de Haas RJ. Clinical value of diffusion-weighted MRI for differentiation between benign and malignant gallbladder disease: a systematic review and meta-analysis. Acta Radiol 2021;62:987-96. [PMID: 32830511 DOI: 10.1177/0284185120950115] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]