Barrios CH, Reinert T, Werutsky G. Global breast Cancer research: moving forward. Am Soc Clin Oncol Educ Book. 2018;38:441–50.
Article
Google Scholar
DeSantis CE, Lin CC, Mariotto AB, et al. Cancer treatment and survivorship statistics, 2014. CA Cancer J Clin. 2014;64:252–71.
Article
Google Scholar
Miller KD, Siegel RL, Lin CC, Mariotto AB, Kramer JL, Rowland JH, Stein KD, Alteri R, Jemal A. Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin. 2016;66(4):271–89.
Article
Google Scholar
Szabo BK, Aspelin P, Kristoffersen Wiberg M, Tot T, Bone B. Invasive breast cancer: correlation of dynamic MR features with prognostic factors. Eur Radiol. 2003;13(11):2425–35.
Article
Google Scholar
Roknsharifi S, Fishman MDC, Agarwal MD, Brook A, Kharbanda V, Dialani V. The role of diffusion weighted imaging as supplement to dynamic contrast enhanced breast MRI: Can it help predict malignancy, histologic grade and recurrence? Acad Radiol. 2018 S1076–6332(18)30426–4. doi: https://doi.org/10.1016/j.acra.2018.09.003.?
Article
Google Scholar
Kato F, Kudo K, Yamashita H, Wang J, Hosoda M, Hatanaka KC, Mimura R, Oyama-Manabe N, Shirato H. Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI. Eur J Radiol. 2016;85(1):96–102.
Article
Google Scholar
Sharma U, Sah RG, Agarwal K, Parshad R, Seenu V, Mathur SR, Hari S, Jagannathan NR. Potential of diffusion-weighted imaging in the characterization of malignant, benign, and healthy breast tissues and molecular subtypes of breast Cancer. Front Oncol. 2016;6:126. https://doi.org/10.3389/fonc.2016.00126 eCollection 2016.
Article
CAS
PubMed
PubMed Central
Google Scholar
Aydin H, Guner B, Esen Bostanci I, Bulut ZM, Aribas BK, Dogan L, Gulcelik MA. Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma? Br J Radiol. 2018;91(1084):20170705.
Article
Google Scholar
Choi SY, Chang YW, Park HJ, Kim HJ, Hong SS, Seo DY. Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol. 2012;85(1016):e474–9.
Article
CAS
Google Scholar
Fan M, He T, Zhang P, Zhang J, Li L. Heterogeneity of diffusion-weighted imaging in Tumours and the surrounding Stroma for prediction of Ki-67 proliferation status in breast Cancer. Sci Rep. 2017;7(1):2875.
Article
Google Scholar
Martincich L, Deantoni V, Bertotto I, Redana S, Kubatzki F, Sarotto I, Rossi V, Liotti M, Ponzone R, Aglietta M, Regge D, Montemurro F. Correlations between diffusion-weighted imaging and breast cancer biomarkers. Eur Radiol. 2012;22(7):1519–28.
Article
Google Scholar
Amornsiripanitch N, Nguyen VT, Rahbar H, Hippe DS, Gadi VK, Rendi MH, Partridge SC. Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers. J Magn Reson Imaging. 2017. https://doi.org/10.1002/jmri.25909.
Article
Google Scholar
Shin JK, Kim JY. Dynamic contrast-enhanced and diffusion-weighted MRI of estrogen receptor-positive invasive breast cancers: associations between quantitative MR parameters and Ki-67 proliferation status. J Magn Reson Imaging. 2017;45(1):94–102.
Article
Google Scholar
Lakhani, SR, Ellis. IO, Schnitt SJ, Tan PH, van de Vijver MJ. World Health Organization classifcation of tumor of the breast: IARC; 2012.
Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thürlimann B, Senn HJ; panel members. Strategies for subtypes-dealing with the diversity of breast cancer: highlights of the St. Gallen international expert consensus on the primary therapy of early breast Cancer 2011. Ann Oncol 2011;22(8):1736–1747.
Harkins KD, Galons J-P, Secomb TW, Trouard TP. Assessment of the effects of cellular tissue properties on ADC measurements by numerical simulation of water diffusion. Magn Reson Med. 2009;62:1414–22.
Article
Google Scholar
Surov A, Meyer HJ, Wienke A. Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a Meta-analysis. Oncotarget. 2017;8:59492–9.
PubMed
PubMed Central
Google Scholar
Surov A, Meyer HJ, Wienke A. Correlation between minimum apparent diffusion coefficient (ADCmin) and tumor cellularity: a meta-analysis. Anticancer Res. 2017;37:3807–10.
CAS
PubMed
Google Scholar
Surov A, Meyer HJ, Wienke A. Correlation between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a Meta-analysis. Part 1: ADCmean. Oncotarget. 2017;8(43):75434–44.
Article
Google Scholar
Meyer HJ, Leifels L, Hamerla G, Höhn AK, Surov A. ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1α, her 2 and p53. A preliminary study. Magn Reson Imaging. 2018;54:214–7.
Article
CAS
Google Scholar
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. 2018;57:68–74.
Article
Google Scholar
Ma T, Yang S, Jing H, Cong L, Cao Z, Liu Z, Huang Z. Apparent diffusion coefficients in prostate cancer: correlation with molecular markers Ki-67, HIF-1α and VEGF. NMR Biomed. 2018;31(3). https://doi.org/10.1002/nbm.3884.
Article
Google Scholar
Ji C, Zhang Q, Guan W, Guo T, Chen L, Liu S, He J, Zhou Z. Role of intravoxel incoherent motion MR imaging in preoperative assessing HER2 status of gastric cancers. Oncotarget. 2017;8(30):49293–302.
Article
Google Scholar
Meyer HJ, Höhn AK, Surov A. Histogram analysis of ADC in rectal cancer: associations with different histopathological findings including expression of EGFR, Hif 1alpha, VEGF, p53, PD 1, and KI 67. A preliminary study. Oncotarget. 2018;9(26):18510–7.
Article
Google Scholar
Surov A, Hamerla G, Meyer HJ, Winter K, Schob S, Fiedler E. Whole lesion histogram analysis of meningiomas derived from ADC values. Correlation with several cellularity parameters, proliferation index KI 67, nucleic content, and membrane permeability. Magn Reson Imaging. 2018;51:158–62.
Article
CAS
Google Scholar
Arponen O, Sudah M, Masarwah A, Taina M, Rautiainen S, Könönen M, Sironen R, Kosma VM, Sutela A, Hakumäki J, Vanninen R. Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest. PLoS One. 2015;10(10):e0138702.
Article
Google Scholar
Belli P, Costantini M, Bufi E, Giardina GG, Rinaldi P, Franceschini G, Bonomo L. Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors. Radiol Med. 2015;120(3):268–76.
Article
Google Scholar
Igarashi T, Furube H, Ashida H, Ojiri H. Breast MRI for prediction of lymphovascular invasion in breast cancer patients with clinically negative axillary lymph nodes. Eur J Radiol. 2018;107:111–8.
Article
Google Scholar
Mori N, Ota H, Mugikura S, Takasawa C, Ishida T, Watanabe G, Tada H, Watanabe M, Takase K, Takahashi S. Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index. Radiology. 2015;274(1):66–73.
Article
Google Scholar
Petrelli F, Viale G, Cabiddu M, Barni S. Prognostic value of different cut-off levels of Ki-67 in breast cancer: a systematic review and meta-analysis of 64,196 patients. Breast Cancer Res Treat. 2015;153(3):477–91.
Article
Google Scholar
Kontzoglou K, Palla V, Karaolanis G, Karaiskos I, Alexiou I, Pateras I, Konstantoudakis K, Stamatakos M. Correlation between Ki67 and breast cancer prognosis. Oncology. 2013;84(4):219–25.
Article
CAS
Google Scholar
Surov A, Clauser P, Chang YW, Li L, Martincich L, Partridge SC, Kim JY, Meyer HJ, Wienke A. Can diffusion weighted imaging predict tumor grade and expression of KI 67 in breast cancer? A multicenter analysis. Breast Cancer Res. 2018;20(1):58.
Article
Google Scholar
Surov A, Gottschling S, Mawrin C, Prell J, Spielmann RP, Wienke A, Fiedler E. Diffusion-weighted imaging in meningioma: prediction of tumor grade and association with Histopathological parameters. Transl Oncol. 2015;8(6):517–23.
Article
Google Scholar
Onishi N, Kanao S, Kataoka M, Iima M, Sakaguchi R, Kawai M, Kataoka TR, Mikami Y, Toi M, Togashi K. Apparent diffusion coefficient as a potential surrogate marker for Ki-67 index in mucinous breast carcinoma. J Magn Reson Imaging. 2015;41(3):610–5.
Article
Google Scholar