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Cited by in F6Publishing
For: Meng J, Zhu L, Zhu L, Xie L, Wang H, Liu S, Yan J, Liu B, Guan Y, He J, Ge Y, Zhou Z, Yang X. Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT. Oncotarget 2017;8:92442-53. [PMID: 29190929 DOI: 10.18632/oncotarget.21374] [Cited by in Crossref: 18] [Cited by in F6Publishing: 18] [Article Influence: 3.6] [Reference Citation Analysis]
Number Citing Articles
1 Lu Z, Wang L, Xia K, Jiang H, Weng X, Jiang J, Wu M. Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps. J Med Syst 2019;43. [DOI: 10.1007/s10916-019-1464-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
2 Meyer H, Purz S, Sabri O, Surov A. Cervical Cancer: Associations between Metabolic Parameters and Whole Lesion Histogram Analysis Derived from Simultaneous 18 F-FDG-PET/MRI. Contrast Media & Molecular Imaging 2018;2018:1-8. [DOI: 10.1155/2018/5063285] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
3 Perucho JAU, Wang M, Vardhanabhuti V, Tse KY, Chan KKL, Lee EYP. Association between IVIM parameters and treatment response in locally advanced squamous cell cervical cancer treated by chemoradiotherapy. Eur Radiol 2021. [PMID: 33786654 DOI: 10.1007/s00330-021-07817-w] [Reference Citation Analysis]
4 Manganaro L, Nicolino GM, Dolciami M, Martorana F, Stathis A, Colombo I, Rizzo S. Radiomics in cervical and endometrial cancer. Br J Radiol 2021;94:20201314. [PMID: 34233456 DOI: 10.1259/bjr.20201314] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Meyer H, Hamerla G, Höhn AK, Surov A. Whole Lesion Histogram Analysis Derived From Morphological MRI Sequences Might be Able to Predict EGFR- and Her2-Expression in Cervical Cancer. Academic Radiology 2019;26:e208-15. [DOI: 10.1016/j.acra.2018.09.008] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
6 Lin Y, Lin C, Lu H, Chiang H, Wang H, Huang Y, Ng S, Hong J, Yen T, Lai C, Lin G. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer. Eur Radiol 2020;30:1297-305. [DOI: 10.1007/s00330-019-06467-3] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
7 Hunt A, Hansen V, Oelfke U, Nill S, Hafeez S. Adaptive Radiotherapy Enabled by MRI Guidance. Clinical Oncology 2018;30:711-9. [DOI: 10.1016/j.clon.2018.08.001] [Cited by in Crossref: 43] [Cited by in F6Publishing: 40] [Article Influence: 10.8] [Reference Citation Analysis]
8 Chen J, Hua H, Pang J, Shi X, Bi W, Li Y, Xu W. The Value of Diffusion-Weighted Magnetic Resonance Imaging in Predicting the Efficacy of Radiation and Chemotherapy in Cervical Cancer. Open Life Sci 2018;13:305-11. [PMID: 33817097 DOI: 10.1515/biol-2018-0037] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
9 Manganaro L, Lakhman Y, Bharwani N, Gui B, Gigli S, Vinci V, Rizzo S, Kido A, Cunha TM, Sala E, Rockall A, Forstner R, Nougaret S. Staging, recurrence and follow-up of uterine cervical cancer using MRI: Updated Guidelines of the European Society of Urogenital Radiology after revised FIGO staging 2018. Eur Radiol 2021. [PMID: 33852049 DOI: 10.1007/s00330-020-07632-9] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Zhang A, Song J, Ma Z, Chen T. Combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging to predict neoadjuvant chemotherapy effect in FIGO stage IB2-IIA2 cervical cancers. Radiol Med 2020;125:1233-42. [PMID: 32424659 DOI: 10.1007/s11547-020-01214-x] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
11 de Boer P, Mandija S, Werensteijn-Honingh AM, van den Berg CAT, de Leeuw AAC, Jürgenliemk-Schulz IM. Cervical cancer apparent diffusion coefficient values during external beam radiotherapy. Phys Imaging Radiat Oncol 2019;9:77-82. [PMID: 33458429 DOI: 10.1016/j.phro.2019.03.001] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
12 van Houdt PJ, Kallehauge JF, Tanderup K, Nout R, Zaletelj M, Tadic T, van Kesteren ZJ, van den Berg CAT, Georg D, Côté JC, Levesque IR, Swamidas J, Malinen E, Telliskivi S, Brynolfsson P, Mahmood F, van der Heide UA; EMBRACE Collaborative Group. Phantom-based quality assurance for multicenter quantitative MRI in locally advanced cervical cancer. Radiother Oncol 2020;153:114-21. [PMID: 32931890 DOI: 10.1016/j.radonc.2020.09.013] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
13 Yamada I, Oshima N, Miyasaka N, Wakana K, Wakabayashi A, Sakamoto J, Saida Y, Tateishi U, Kobayashi D. Texture Analysis of Apparent Diffusion Coefficient Maps in Cervical Carcinoma: Correlation with Histopathologic Findings and Prognosis. Radiol Imaging Cancer 2020;2:e190085. [PMID: 33778713 DOI: 10.1148/rycan.2020190085] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Nougaret S, Tibermacine H, Tardieu M, Sala E. Radiomics: an Introductory Guide to What It May Foretell.Curr Oncol Rep. 2019;21:70. [PMID: 31240403 DOI: 10.1007/s11912-019-0815-1] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
15 Valenzuela RF, Kundra V, Madewell JE, Costelloe CM. Advanced Imaging in Musculoskeletal Oncology: Moving Away From RECIST and Embracing Advanced Bone and Soft Tissue Tumor Imaging (ABASTI) - Part I - Tumor Response Criteria and Established Functional Imaging Techniques. Semin Ultrasound CT MR 2021;42:201-14. [PMID: 33814106 DOI: 10.1053/j.sult.2020.08.012] [Reference Citation Analysis]
16 Sun NN, Ge XL, Liu XS, Xu LL. Histogram analysis of DCE-MRI for chemoradiotherapy response evaluation in locally advanced esophageal squamous cell carcinoma. Radiol Med 2020;125:165-76. [PMID: 31605354 DOI: 10.1007/s11547-019-01081-1] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
17 Usuda K, Iwai S, Yamagata A, Iijima Y, Motono N, Matoba M, Doai M, Hirata K, Uramoto H. Whole-Lesion Apparent Diffusion Coefficient Histogram Analysis: Significance for Discriminating Lung Cancer from Pulmonary Abscess and Mycobacterial Infection. Cancers (Basel) 2021;13:2720. [PMID: 34072867 DOI: 10.3390/cancers13112720] [Reference Citation Analysis]
18 Wang M, Perucho JAU, Tse KY, Chu MMY, Ip P, Lee EYP. MRI texture features differentiate clinicopathological characteristics of cervical carcinoma. Eur Radiol 2020;30:5384-91. [PMID: 32382845 DOI: 10.1007/s00330-020-06913-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
19 Meyer HJ, Gundermann P, Höhn AK, Hamerla G, Surov A. Associations between whole tumor histogram analysis parameters derived from ADC maps and expression of EGFR, VEGF, Hif 1-alpha, Her-2 and Histone 3 in uterine cervical cancer. Magn Reson Imaging 2019;57:68-74. [PMID: 30367998 DOI: 10.1016/j.mri.2018.10.016] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.5] [Reference Citation Analysis]