BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Lindgren A, Anttila M, Rautiainen S, Arponen O, Kivelä A, Mäkinen P, Härmä K, Hämäläinen K, Kosma VM, Ylä-Herttuala S, Vanninen R, Sallinen H. Primary and metastatic ovarian cancer: Characterization by 3.0T diffusion-weighted MRI. Eur Radiol 2017;27:4002-12. [PMID: 28289938 DOI: 10.1007/s00330-017-4786-z] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 3.6] [Reference Citation Analysis]
Number Citing Articles
1 Yang Y, Fang S, Tao J, Liu Y, Wang C, Yin Z, Chen B, Duan Z, Liu W, Wang S. Correlation of Apparent Diffusion Coefficient With Proliferation and Apoptotic Indexes in a Murine Model of Fibrosarcoma: Comparison of Four Methods for MRI Region of Interest Positioning. J Magn Reson Imaging 2022. [PMID: 35864603 DOI: 10.1002/jmri.28371] [Reference Citation Analysis]
2 Derlatka P, Grabowska-Derlatka L, Halaburda-Rola M, Szeszkowski W, Czajkowski K. The Value of Magnetic Resonance Diffusion-Weighted Imaging and Dynamic Contrast Enhancement in the Diagnosis and Prognosis of Treatment Response in Patients with Epithelial Serous Ovarian Cancer. Cancers (Basel) 2022;14:2464. [PMID: 35626067 DOI: 10.3390/cancers14102464] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Gagliardi T, Adejolu M, deSouza NM. Diffusion-Weighted Magnetic Resonance Imaging in Ovarian Cancer: Exploiting Strengths and Understanding Limitations. J Clin Med 2022;11:1524. [PMID: 35329850 DOI: 10.3390/jcm11061524] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Elsherif SB, Bhosale PR, Lall C, Menias CO, Itani M, Butler KA, Ganeshan D. Current update on malignant epithelial ovarian tumors. Abdom Radiol (NY) 2021;46:2264-80. [PMID: 34089360 DOI: 10.1007/s00261-021-03081-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
5 Lu J, Li HM, Cai SQ, Zhao SH, Ma FH, Li YA, Ma XL, Qiang JW. Prediction of Platinum-based Chemotherapy Response in Advanced High-grade Serous Ovarian Cancer: ADC Histogram Analysis of Primary Tumors. Acad Radiol 2021;28:e77-85. [PMID: 32061467 DOI: 10.1016/j.acra.2020.01.024] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
6 Lee EYP, An H, Tse KY, Khong PL. Molecular Imaging of Peritoneal Carcinomatosis in Ovarian Carcinoma. AJR Am J Roentgenol 2020;215:305-12. [PMID: 32551907 DOI: 10.2214/AJR.19.22621] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
7 Wang F, Wang Y, Zhou Y, Liu C, Liang D, Xie L, Yao Z, Liu J. Apparent Diffusion Coefficient Histogram Analysis for Assessing Tumor Staging and Detection of Lymph Node Metastasis in Epithelial Ovarian Cancer: Correlation with p53 and Ki-67 Expression. Mol Imaging Biol 2019;21:731-9. [PMID: 30456593 DOI: 10.1007/s11307-018-1295-7] [Cited by in Crossref: 4] [Cited by in F6Publishing: 13] [Article Influence: 2.0] [Reference Citation Analysis]
8 Wang Y, Bai G, Zhang X, Shan W, Xu L, Chen W. Correlation analysis of apparent diffusion coefficient value and P53 and Ki-67 expression in esophageal squamous cell carcinoma. Magnetic Resonance Imaging 2020;68:183-9. [DOI: 10.1016/j.mri.2020.01.011] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
9 Meyer HJ, Wienke A, Surov A. Association Between VEGF Expression and Diffusion Weighted Imaging in Several Tumors-A Systematic Review and Meta-Analysis. Diagnostics (Basel) 2019;9:E126. [PMID: 31547581 DOI: 10.3390/diagnostics9040126] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.7] [Reference Citation Analysis]
10 De Piano F, Buscarino V, Maresca D, Maisonneuve P, Aletti G, Lazzari R, Vavassori A, Bellomi M, Rizzo S. Do DWI and quantitative DCE perfusion MR have a prognostic value in high-grade serous ovarian cancer? Radiol Med 2019;124:1315-23. [PMID: 31473928 DOI: 10.1007/s11547-019-01075-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
11 Zhang G, Yao W, Sun T, Liu X, Zhang P, Jin J, Bai Y, Hua K, Zhang H. Magnetic resonance imaging in categorization of ovarian epithelial cancer and survival analysis with focus on apparent diffusion coefficient value: correlation with Ki-67 expression and serum cancer antigen-125 level. J Ovarian Res 2019;12:59. [PMID: 31242916 DOI: 10.1186/s13048-019-0534-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
12 Sopo M, Anttila M, Hämäläinen K, Kivelä A, Ylä-Herttuala S, Kosma VM, Keski-Nisula L, Sallinen H. Expression profiles of VEGF-A, VEGF-D and VEGFR1 are higher in distant metastases than in matched primary high grade epithelial ovarian cancer. BMC Cancer 2019;19:584. [PMID: 31200683 DOI: 10.1186/s12885-019-5757-3] [Cited by in Crossref: 13] [Cited by in F6Publishing: 21] [Article Influence: 4.3] [Reference Citation Analysis]
13 Lindgren A, Anttila M, Arponen O, Rautiainen S, Könönen M, Vanninen R, Sallinen H. Prognostic value of preoperative dynamic contrast-enhanced magnetic resonance imaging in epithelial ovarian cancer. European Journal of Radiology 2019;115:66-73. [DOI: 10.1016/j.ejrad.2019.03.023] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 2.7] [Reference Citation Analysis]
14 Zhang H, Mao Y, Chen X, Wu G, Liu X, Zhang P, Bai Y, Lu P, Yao W, Wang Y, Yu J, Zhang G. Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study. Eur Radiol 2019;29:3358-71. [DOI: 10.1007/s00330-019-06124-9] [Cited by in Crossref: 29] [Cited by in F6Publishing: 37] [Article Influence: 9.7] [Reference Citation Analysis]
15 Garces-Descovich A, Morrison TC, Beker K, Jaramillo-Cardoso A, Moser AJ, Mortele KJ. DWI of Pancreatic Ductal Adenocarcinoma: A Pilot Study to Estimate the Correlation With Metastatic Disease Potential and Overall Survival. AJR Am J Roentgenol 2019;212:323-31. [PMID: 30667305 DOI: 10.2214/AJR.18.20017] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 2.5] [Reference Citation Analysis]
16 Canese R, Palombelli G, Chirico M, Sestili P, Bagnoli M, Canevari S, Mezzanzanica D, Podo F, Iorio E. Integration of MRI and MRS approaches to monitor molecular imaging and metabolomic effects of trabectedin on a preclinical ovarian cancer model. NMR Biomed 2019;32:e4016. [PMID: 30375088 DOI: 10.1002/nbm.4016] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
17 Grabowska-Derlatka L, Szeszkowski W, Sieńko J, Derlatka P. Magnetic resonance diffusion-weighted imaging in diagnostics of primary fallopian tube carcinoma - is it useful? Pol J Radiol 2018;83:e161-5. [PMID: 30038695 DOI: 10.5114/pjr.2018.75642] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Sumi M, Nakamura T. Salivary gland carcinoma: Prediction of cancer death risk based on apparent diffusion coefficient histogram profiles. PLoS One 2018;13:e0200291. [PMID: 29975742 DOI: 10.1371/journal.pone.0200291] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
19 Surov A, Meyer HJ, Wienke A. Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 1: ADCmean. Oncotarget 2017;8:75434-44. [PMID: 29088879 DOI: 10.18632/oncotarget.20406] [Cited by in Crossref: 68] [Cited by in F6Publishing: 78] [Article Influence: 13.6] [Reference Citation Analysis]