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For: Tagliafico AS, Cea M, Rossi F, Valdora F, Bignotti B, Succio G, Gualco S, Conte A, Dominietto A. Differentiating diffuse from focal pattern on Computed Tomography in multiple myeloma: Added value of a Radiomics approach. Eur J Radiol. 2019;121:108739. [PMID: 31733431 DOI: 10.1016/j.ejrad.2019.108739] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 5.5] [Reference Citation Analysis]
Number Citing Articles
1 Tagliafico AS, Belgioia L, Bonsignore A, Signori A, Formica M, Rossi F, Piana M, Schenone D, Dominietto A. Development and definition of a simplified scoring system in patients with multiple myeloma undergoing stem cells transplantation on standard computed tomography: myeloma spine and bone damage score (MSBDS). Cancer Imaging 2020;20:31. [PMID: 32345379 DOI: 10.1186/s40644-020-00306-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Tagliafico AS. Imaging in multiple myeloma: Computed tomography or magnetic resonance imaging? World J Radiol 2021; 13(7): 223-226 [PMID: 34367508 DOI: 10.4329/wjr.v13.i7.223] [Reference Citation Analysis]
3 He S, Feng Y, Lin Q, Wang L, Wei L, Tong J, Zhang Y, Liu Y, Ye Z, Guo Y, Yu T, Luo Y. CT-Based Peritumoral and Intratumoral Radiomics as Pretreatment Predictors of Atypical Responses to Immune Checkpoint Inhibitor Across Tumor Types: A Preliminary Multicenter Study. Front Oncol 2021;11:729371. [PMID: 34733781 DOI: 10.3389/fonc.2021.729371] [Reference Citation Analysis]
4 Kwee TC, Kwee RM. Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence. Insights Imaging 2021;12:88. [PMID: 34185175 DOI: 10.1186/s13244-021-01031-4] [Reference Citation Analysis]
5 Liu J, Wang C, Guo W, Zeng P, Liu Y, Lang N, Yuan H. A preliminary study using spinal MRI-based radiomics to predict high-risk cytogenetic abnormalities in multiple myeloma. Radiol Med 2021;126:1226-35. [PMID: 34159496 DOI: 10.1007/s11547-021-01388-y] [Reference Citation Analysis]
6 Tagliafico AS, Dominietto A, Belgioia L, Campi C, Schenone D, Piana M. Quantitative Imaging and Radiomics in Multiple Myeloma: A Potential Opportunity? Medicina (Kaunas). 2021;57. [PMID: 33494449 DOI: 10.3390/medicina57020094] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Rossi F, Torri L, Dominietto A, Tagliafico AS. Spectrum of magnetic resonance imaging findings in transplanted multiple myeloma patients with hip/pelvic pain (according to MY-RADS): A single center experience. Eur J Radiol 2020;130:109154. [PMID: 32629214 DOI: 10.1016/j.ejrad.2020.109154] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Tagliafico AS, Belgioia L, Bonsignore A, Rossi F, Succio G, Bignotti B, Dominietto A. Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions. Medicina (Kaunas). 2020;56. [PMID: 32340143 DOI: 10.3390/medicina56040195] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Ripani D, Caldarella C, Za T, Rossi E, De Stefano V, Giordano A. Progression to Symptomatic Multiple Myeloma Predicted by Texture Analysis-Derived Parameters in Patients Without Focal Disease at 18F-FDG PET/CT. Clin Lymphoma Myeloma Leuk 2021;21:536-44. [PMID: 33985932 DOI: 10.1016/j.clml.2021.03.014] [Reference Citation Analysis]
10 Liu J, Zeng P, Guo W, Wang C, Geng Y, Lang N, Yuan H. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods. J Magn Reson Imaging 2021. [PMID: 33979466 DOI: 10.1002/jmri.27637] [Cited by in F6Publishing: 1] [Reference Citation Analysis]