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For: Lin G, Keshari KR, Park JM. Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy. Contrast Media Mol Imaging 2017;2017:6053879. [PMID: 29114178 DOI: 10.1155/2017/6053879] [Cited by in Crossref: 21] [Cited by in F6Publishing: 16] [Article Influence: 4.2] [Reference Citation Analysis]
Number Citing Articles
1 Du F, Zou Y, Hu Q, Jing Y, Yang X. Metabolic Profiling of Pleurotus tuoliensis During Mycelium Physiological Maturation and Exploration on a Potential Indicator of Mycelial Maturation. Front Microbiol 2018;9:3274. [PMID: 30687265 DOI: 10.3389/fmicb.2018.03274] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
2 Souho T, Lamboni L, Xiao L, Yang G. Cancer hallmarks and malignancy features: Gateway for improved targeted drug delivery. Biotechnology Advances 2018;36:1928-45. [DOI: 10.1016/j.biotechadv.2018.08.001] [Cited by in Crossref: 21] [Cited by in F6Publishing: 15] [Article Influence: 5.3] [Reference Citation Analysis]
3 Kelahan LC, Kim D, Soliman M, Avery RJ, Savas H, Agrawal R, Magnetta M, Liu BP, Velichko YS. Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features. Eur Radiol 2022. [PMID: 35080646 DOI: 10.1007/s00330-021-08526-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Blocker SJ, Mowery YM, Holbrook MD, Qi Y, Kirsch DG, Johnson GA, Badea CT. Bridging the translational gap: Implementation of multimodal small animal imaging strategies for tumor burden assessment in a co-clinical trial. PLoS One 2019;14:e0207555. [PMID: 30958825 DOI: 10.1371/journal.pone.0207555] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
5 García-Figueiras R, Baleato-González S, Padhani AR, Luna-Alcalá A, Vallejo-Casas JA, Sala E, Vilanova JC, Koh DM, Herranz-Carnero M, Vargas HA. How clinical imaging can assess cancer biology. Insights Imaging 2019;10:28. [PMID: 30830470 DOI: 10.1186/s13244-019-0703-0] [Cited by in Crossref: 29] [Cited by in F6Publishing: 22] [Article Influence: 9.7] [Reference Citation Analysis]
6 Paul B, Kysenius K, Hilton JB, Jones MWM, Hutchinson RW, Buchanan DD, Rosty C, Fryer F, Bush AI, Hergt JM, Woodhead JD, Bishop DP, Doble PA, Hill MM, Crouch PJ, Hare DJ. An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures. Chem Sci 2021;12:10321-33. [PMID: 34476052 DOI: 10.1039/d1sc02237g] [Reference Citation Analysis]
7 Donners R, Blackledge M, Tunariu N, Messiou C, Merkle EM, Koh D. Quantitative Whole-Body Diffusion-Weighted MR Imaging. Magnetic Resonance Imaging Clinics of North America 2018;26:479-94. [DOI: 10.1016/j.mric.2018.06.002] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
8 Park BW, Kim JK, Heo C, Park KJ. Reliability of CT radiomic features reflecting tumour heterogeneity according to image quality and image processing parameters.Sci Rep. 2020;10:3852. [PMID: 32123281 DOI: 10.1038/s41598-020-60868-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
9 Shi C, Zhou Z, Lin H, Gao J. Imaging Beyond Seeing: Early Prognosis of Cancer Treatment. Small Methods 2021;5:e2001025. [PMID: 34927817 DOI: 10.1002/smtd.202001025] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
10 Clasen K, Leibfarth S, Hilke FJ, Admard J, Winter RM, Welz S, Gatidis S, Nann D, Ossowski S, Breuer T, la Fougère C, Nikolaou K, Riess O, Zips D, Schroeder C, Thorwarth D. PET/MRI and genetic intrapatient heterogeneity in head and neck cancers. Strahlenther Onkol 2020;196:542-51. [PMID: 32211941 DOI: 10.1007/s00066-020-01606-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Emwas AH, Roy R, McKay RT, Tenori L, Saccenti E, Gowda GAN, Raftery D, Alahmari F, Jaremko L, Jaremko M, Wishart DS. NMR Spectroscopy for Metabolomics Research. Metabolites 2019;9:E123. [PMID: 31252628 DOI: 10.3390/metabo9070123] [Cited by in Crossref: 202] [Cited by in F6Publishing: 156] [Article Influence: 67.3] [Reference Citation Analysis]
12 Jagannathan NR. Application of in vivo MR methods in the study of breast cancer metabolism. NMR Biomed 2019;32:e4032. [PMID: 30456917 DOI: 10.1002/nbm.4032] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
13 Mickiewicz B, Hyndman ME, Vogel HJ. Metabolite Profiling of Clinical Cancer Biofluid Samples by NMR Spectroscopy. Methods Mol Biol 2019;1928:251-74. [PMID: 30725460 DOI: 10.1007/978-1-4939-9027-6_14] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
14 Capobianco E, Dominietto M. From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health. J Pers Med 2020;10:E15. [PMID: 32121633 DOI: 10.3390/jpm10010015] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
15 Grisi M, Conley GM, Rodriguez KJ, Riva E, Egli L, Moritz W, Lichtenberg J, Brugger J, Boero G. NMR microsystem for label-free characterization of 3D nanoliter microtissues. Sci Rep 2020;10:18306. [PMID: 33110145 DOI: 10.1038/s41598-020-75480-0] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
16 Guan S, Zhang Q, Bao J, Hu R, Czech T, Tang J. Recognition Sites for Cancer-targeting Drug Delivery Systems. Curr Drug Metab 2019;20:815-34. [PMID: 31580248 DOI: 10.2174/1389200220666191003161114] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
17 Smith MT, Guyton KZ, Kleinstreuer N, Borrel A, Cardenas A, Chiu WA, Felsher DW, Gibbons CF, Goodson WH 3rd, Houck KA, Kane AB, La Merrill MA, Lebrec H, Lowe L, McHale CM, Minocherhomji S, Rieswijk L, Sandy MS, Sone H, Wang A, Zhang L, Zeise L, Fielden M. The Key Characteristics of Carcinogens: Relationship to the Hallmarks of Cancer, Relevant Biomarkers, and Assays to Measure Them. Cancer Epidemiol Biomarkers Prev 2020;29:1887-903. [PMID: 32152214 DOI: 10.1158/1055-9965.EPI-19-1346] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
18 Castiglioni I, Gallivanone F, Soda P, Avanzo M, Stancanello J, Aiello M, Interlenghi M, Salvatore M. AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics. Eur J Nucl Med Mol Imaging 2019;46:2673-99. [PMID: 31292700 DOI: 10.1007/s00259-019-04414-4] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 3.3] [Reference Citation Analysis]