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Cited by in F6Publishing
For: Park GE, Jee WH, Lee SY, Sung JK, Jung JY, Grimm R, Son Y, Paek MY, Min CK, Ha KY. Differentiation of multiple myeloma and metastases: Use of axial diffusion-weighted MR imaging in addition to standard MR imaging at 3T. PLoS One 2018;13:e0208860. [PMID: 30557373 DOI: 10.1371/journal.pone.0208860] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Colombo A, Saia G, Azzena AA, Rossi A, Zugni F, Pricolo P, Summers PE, Marvaso G, Grimm R, Bellomi M, Jereczek-Fossa BA, Padhani AR, Petralia G. Semi-Automated Segmentation of Bone Metastases from Whole-Body MRI: Reproducibility of Apparent Diffusion Coefficient Measurements. Diagnostics (Basel) 2021;11:499. [PMID: 33799913 DOI: 10.3390/diagnostics11030499] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Phinyo P, Maihom T, Phanphaisarn A, Kerdsinchai P, Rattarittamrong E, Patumanond J, Pruksakorn D. Development of a clinical diagnostic tool to differentiate multiple myeloma from bone metastasis in patients with destructive bone lesions (MM-BM DDx). BMC Fam Pract 2020;21:215. [PMID: 33087068 DOI: 10.1186/s12875-020-01283-x] [Reference Citation Analysis]
3 Lee K, Park HY, Kim KW, Lee AJ, Yoon MA, Chae EJ, Lee JH, Chung HW. Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imaging. J Clin Orthop Trauma 2019;10:680-6. [PMID: 31316239 DOI: 10.1016/j.jcot.2019.05.018] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
4 Goldbach AR, Kumaran M, Donuru A, McClure K, Dass C, Hota P. The Spectrum of Rib Neoplasms in Adults: A Practical Approach and Multimodal Imaging Review. AJR Am J Roentgenol 2020;215:165-77. [PMID: 32374664 DOI: 10.2214/AJR.19.21554] [Reference Citation Analysis]
5 Xiong X, Wang J, Hu S, Dai Y, Zhang Y, Hu C. Differentiating Between Multiple Myeloma and Metastasis Subtypes of Lumbar Vertebra Lesions Using Machine Learning-Based Radiomics. Front Oncol. 2021;11:601699. [PMID: 33718148 DOI: 10.3389/fonc.2021.601699] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
6 Haris M, Nisar S, Hashem S, Bhat AA, Yadav S, Shanmugakonar M, Al-Naemi H, Bagga P, Uddin S, Reddy R. Functional In Vivo Imaging of Tumors. Cancer Treat Res 2020;180:3-50. [PMID: 32215865 DOI: 10.1007/978-3-030-38862-1_1] [Reference Citation Analysis]
7 Hwang H, Lee SK, Kim JY. Comparison of conventional magnetic resonance imaging and diffusion-weighted imaging in the differentiation of bone plasmacytoma from bone metastasis in the extremities. Diagn Interv Imaging 2021:S2211-5684(21)00139-X. [PMID: 34127433 DOI: 10.1016/j.diii.2021.05.009] [Reference Citation Analysis]
8 Pierro A, Posa A, Astore C, Sciandra M, Tanzilli A, Petrosino A, Del Balso MS, Fraticelli V, Cilla S, Iezzi R. Whole-Body Low-Dose Multidetector-Row CT in Multiple Myeloma: Guidance in Performing, Observing, and Interpreting the Imaging Findings. Life (Basel) 2021;11:1320. [PMID: 34947851 DOI: 10.3390/life11121320] [Reference Citation Analysis]