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Cited by in F6Publishing
For: Zhang J, Fan Y, He M, Ma X, Song Y, Liu M, Xu J. Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. Oncotarget. 2017;8:36824-36831. [PMID: 28415660 DOI: 10.18632/oncotarget.15975] [Cited by in Crossref: 21] [Cited by in F6Publishing: 19] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Kowalska AA, Berus S, Szleszkowski Ł, Kamińska A, Kmiecik A, Ratajczak-wielgomas K, Jurek T, Zadka Ł. Brain tumour homogenates analysed by surface-enhanced Raman spectroscopy: Discrimination among healthy and cancer cells. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 2020;231:117769. [DOI: 10.1016/j.saa.2019.117769] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Dallaire F, Picot F, Tremblay JP, Sheehy G, Lemoine É, Agarwal R, Kadoury S, Trudel D, Lesage F, Petrecca K, Leblond F. Quantitative spectral quality assessment technique validated using intraoperative in vivo Raman spectroscopy measurements. J Biomed Opt 2020;25:1-8. [PMID: 32319263 DOI: 10.1117/1.JBO.25.4.040501] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Brozek-Pluska B, Jarota A, Kania R, Abramczyk H. Zinc Phthalocyanine Photochemistry by Raman Imaging, Fluorescence Spectroscopy and Femtosecond Spectroscopy in Normal and Cancerous Human Colon Tissues and Single Cells. Molecules 2020;25:E2688. [PMID: 32531903 DOI: 10.3390/molecules25112688] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
4 Juarez-Chambi RM, Kut C, Rico-Jimenez JJ, Chaichana KL, Xi J, Campos-Delgado DU, Rodriguez FJ, Quinones-Hinojosa A, Li X, Jo JA. AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography. Clin Cancer Res 2019;25:6329-38. [PMID: 31315883 DOI: 10.1158/1078-0432.CCR-19-0854] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 2.3] [Reference Citation Analysis]
5 Tipatet KS, Davison-Gates L, Tewes TJ, Fiagbedzi EK, Elfick A, Neu B, Downes A. Detection of acquired radioresistance in breast cancer cell lines using Raman spectroscopy and machine learning. Analyst 2021;146:3709-16. [PMID: 33969839 DOI: 10.1039/d1an00387a] [Reference Citation Analysis]
6 Lim D, Renteria ES, Sime DS, Ju YM, Kim JH, Criswell T, Shupe TD, Atala A, Marini FC, Gurcan MN, Soker S, Hunsberger J, Yoo JJ. Bioreactor design and validation for manufacturing strategies in tissue engineering. Bio-des Manuf . [DOI: 10.1007/s42242-021-00154-3] [Reference Citation Analysis]
7 Kiseleva EB, Korzhimanova YV, Moiseev AA, Yashin KS, Timofeeva LB, Gelikonov GV, Zagaynova EV, Gladkova ND. Time-related ex vivo changes in the optical properties of normal brain tissues. Laser Phys Lett 2019;16:045602. [DOI: 10.1088/1612-202x/aaf990] [Cited by in Crossref: 5] [Article Influence: 1.7] [Reference Citation Analysis]
8 Luther E, Matus A, Eichberg DG, Shah AH, Ivan M. Stimulated Raman Histology for Intraoperative Guidance in the Resection of a Recurrent Atypical Spheno-orbital Meningioma: A Case Report and Review of Literature. Cureus 2019;11:e5905. [PMID: 31777692 DOI: 10.7759/cureus.5905] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Yang Y, Xie F, Yan B, Li Y, Xu J, Liu Y, Wen Z, Li M. A reliable multiclass classification model for identifying the subtypes of parotid neoplasms constructed with variable combination population analysis and partial least squares regression based on Raman spectra. Chemometrics and Intelligent Laboratory Systems 2017;170:102-8. [DOI: 10.1016/j.chemolab.2017.08.012] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.6] [Reference Citation Analysis]
10 Klamminger GG, Gérardy JJ, Jelke F, Mirizzi G, Slimani R, Klein K, Husch A, Hertel F, Mittelbronn M, Kleine-Borgmann FB. Application of Raman spectroscopy for detection of histologically distinct areas in formalin-fixed paraffin-embedded glioblastoma. Neurooncol Adv 2021;3:vdab077. [PMID: 34355170 DOI: 10.1093/noajnl/vdab077] [Reference Citation Analysis]
11 Vlasov AV, Maliar NL, Bazhenov SV, Nikelshparg EI, Brazhe NA, Vlasova AD, Osipov SD, Sudarev VV, Ryzhykau YL, Bogorodskiy AO, Zinovev EV, Rogachev AV, Manukhov IV, Borshchevskiy VI, Kuklin AI, Pokorný J, Sosnovtseva O, Maksimov GV, Gordeliy VI. Raman Scattering: From Structural Biology to Medical Applications. Crystals 2020;10:38. [DOI: 10.3390/cryst10010038] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 4.5] [Reference Citation Analysis]
12 Jelke F, Mirizzi G, Borgmann FK, Husch A, Slimani R, Klamminger GG, Klein K, Mombaerts L, Gérardy JJ, Mittelbronn M, Hertel F. Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy. Sci Rep 2021;11:23583. [PMID: 34880346 DOI: 10.1038/s41598-021-02977-7] [Reference Citation Analysis]
13 Zhai XH, Xiao J, Yu JK, Sun H, Zheng S. Novel sphingomyelin biomarkers for brain glioma and associated regulation research on the PI3K/Akt signaling pathway. Oncol Lett 2019;18:6207-13. [PMID: 31788096 DOI: 10.3892/ol.2019.10946] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
14 Baria E, Pracucci E, Pillai V, Pavone FS, Ratto GM, Cicchi R. In vivo detection of murine glioblastoma through Raman and reflectance fiber-probe spectroscopies. Neurophotonics 2020;7:045010. [PMID: 33274251 DOI: 10.1117/1.NPh.7.4.045010] [Reference Citation Analysis]
15 Baj J, Sitarz R, Łokaj M, Forma A, Czeczelewski M, Maani A, Garruti G. Preoperative and Intraoperative Methods of Parathyroid Gland Localization and the Diagnosis of Parathyroid Adenomas. Molecules 2020;25:E1724. [PMID: 32283730 DOI: 10.3390/molecules25071724] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
16 Del Bene M, Perin A, Casali C, Legnani F, Saladino A, Mattei L, Vetrano IG, Saini M, DiMeco F, Prada F. Advanced Ultrasound Imaging in Glioma Surgery: Beyond Gray-Scale B-mode. Front Oncol 2018;8:576. [PMID: 30560090 DOI: 10.3389/fonc.2018.00576] [Cited by in Crossref: 29] [Cited by in F6Publishing: 21] [Article Influence: 7.3] [Reference Citation Analysis]
17 Le Reste PJ, Pilalis E, Aubry M, McMahon M, Cano L, Etcheverry A, Chatziioannou A, Chevet E, Fautrel A. Integration of Raman spectra with transcriptome data in glioblastoma multiforme defines tumour subtypes and predicts patient outcome. J Cell Mol Med 2021;25:10846-56. [PMID: 34773369 DOI: 10.1111/jcmm.16902] [Reference Citation Analysis]
18 Doran CE, Frank CB, Mcgrath S, Packer RA. Use of Handheld Raman Spectroscopy for Intraoperative Differentiation of Normal Brain Tissue From Intracranial Neoplasms in Dogs. Front Vet Sci 2022;8:819200. [DOI: 10.3389/fvets.2021.819200] [Reference Citation Analysis]
19 Ikeda H, Ito H, Hikita M, Yamaguchi N, Uragami N, Yokoyama N, Hirota Y, Kushima M, Ajioka Y, Inoue H. Raman spectroscopy for the diagnosis of unlabeled and unstained histopathological tissue specimens. World J Gastrointest Oncol 2018; 10(11): 439-448 [PMID: 30487955 DOI: 10.4251/wjgo.v10.i11.439] [Reference Citation Analysis]
20 Al-Salihi M, Yi R, Wang S, Wu Q, Lin F, Qu J, Liu L. Quantitative laser-induced breakdown spectroscopy for discriminating neoplastic tissues from non-neoplastic ones. Opt Express 2021;29:4159-73. [PMID: 33771001 DOI: 10.1364/OE.410878] [Reference Citation Analysis]
21 Robert C, Tsiampali J, Fraser-Miller SJ, Neumann S, Maciaczyk D, Young SL, Maciaczyk J, Gordon KC. Molecular monitoring of glioblastoma's immunogenicity using a combination of Raman spectroscopy and chemometrics. Spectrochim Acta A Mol Biomol Spectrosc 2021;252:119534. [PMID: 33588367 DOI: 10.1016/j.saa.2021.119534] [Reference Citation Analysis]
22 DePaoli D, Lemoine É, Ember K, Parent M, Prud'homme M, Cantin L, Petrecca K, Leblond F, Côté DC. Rise of Raman spectroscopy in neurosurgery: a review. J Biomed Opt 2020;25:1-36. [PMID: 32358930 DOI: 10.1117/1.JBO.25.5.050901] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
23 Lemoine É, Dallaire F, Yadav R, Agarwal R, Kadoury S, Trudel D, Guiot MC, Petrecca K, Leblond F. Feature engineering applied to intraoperative in vivo Raman spectroscopy sheds light on molecular processes in brain cancer: a retrospective study of 65 patients. Analyst 2019;144:6517-32. [PMID: 31647061 DOI: 10.1039/c9an01144g] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
24 Cordero E, Latka I, Matthäus C, Schie I, Popp J. In-vivo Raman spectroscopy: from basics to applications. J Biomed Opt 2018;23:1-23. [PMID: 29956506 DOI: 10.1117/1.JBO.23.7.071210] [Cited by in Crossref: 47] [Cited by in F6Publishing: 17] [Article Influence: 15.7] [Reference Citation Analysis]
25 Brozek-pluska B, Miazek K, Musiał J, Kordek R. Label-free diagnostics and cancer surgery Raman spectra guidance for the human colon at different excitation wavelengths. RSC Adv 2019;9:40445-54. [DOI: 10.1039/c9ra06831g] [Cited by in Crossref: 9] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]