1. Folkman J. Tumor angiogenesis: therapeutic implications. N Engl J Med. 1971; 285:1182–1186. PMID:
4938153.
Article
2. Schneider BP, Miller KD. Angiogenesis of breast cancer. J Clin Oncol. 2005; 23:1782–1790. PMID:
15755986.
Article
3. Hylton N. Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker. J Clin Oncol. 2006; 24:3293–3298. PMID:
16829653.
Article
4. Dorrius MD, Jansen-van der Weide MC, van Ooijen PM, Pijnappel RM, Oudkerk M. Computer-aided detection in breast MRI: a systematic review and meta-analysis. Eur Radiol. 2011; 21:1600–1608. PMID:
21404134.
Article
5. Wood C. Computer aided detection (CAD) for breast MRI. Technol Cancer Res Treat. 2005; 4:49–53. PMID:
15649087.
Article
6. Hylton NM. Vascularity assessment of breast lesions with gadolinium-enhanced MR imaging. Magn Reson Imaging Clin N Am. 1999; 7:411–420. PMID:
10382170.
Article
7. Kim JJ, Kim JY, Kang HJ, Shin JK, Kang T, Lee SW, et al. Computer-aided diagnosis-generated kinetic features of breast cancer at preoperative MR imaging: association with disease-free survival of patients with primary operable invasive breast cancer. Radiology. 2017; 284:45–54. PMID:
28253106.
Article
8. Dietzel M, Zoubi R, Vag T, Gajda M, Runnebaum IB, Kaiser WA, et al. Association between survival in patients with primary invasive breast cancer and computer aided MRI. J Magn Reson Imaging. 2013; 37:146–155. PMID:
23011784.
Article
9. Kim H, Kim HH, Park JS, Shin HJ, Cha JH, Chae EY, et al. Prediction of pathological complete response of breast cancer patients undergoing neoadjuvant chemotherapy: usefulness of breast MRI computer-aided detection. Br J Radiol. 2014; 87:20140142. PMID:
25162970.
Article
10. Yi A, Cho N, Im SA, Chang JM, Kim SJ, Moon HG, et al. Survival outcomes of breast cancer patients who receive neoadjuvant chemotherapy: association with dynamic contrast-enhanced MR imaging with computer-aided evaluation. Radiology. 2013; 268:662–672. PMID:
23592770.
Article
11. Kim Y, Kim SH, Song BJ, Kang BJ, Yim KI, Lee A, et al. Early prediction of response to neoadjuvant chemotherapy using dynamic contrast-enhanced MRI and ultrasound in breast cancer. Korean J Radiol. 2018; 19:682–691. PMID:
29962874.
Article
12. Baltzer PA, Vag T, Dietzel M, Beger S, Freiberg C, Gajda M, et al. Computer-aided interpretation of dynamic magnetic resonance imaging reflects histopathology of invasive breast cancer. Eur Radiol. 2010; 20:1563–1571. PMID:
20204647.
Article
13. D'Orsi CJ, Sickles EA, Mendelson EB, Morris EA. ACR BI-RADS atlas, breast imaging reporting and data system. Reston, VA: American College of Radiology;2013.
14. Lehman CD, Peacock S, DeMartini WB, Chen X. A new automated software system to evaluate breast MR examinations: improved specificity without decreased sensitivity. AJR Am J Roentgenol. 2006; 187:51–56. PMID:
16794155.
Article
15. Levman JE, Causer P, Warner E, Martel AL. Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI. Acad Radiol. 2009; 16:1064–1069. PMID:
19515584.
Article
16. Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. C. W. Elston & I. O. Ellis. Histopathology 1991;19:403–410. Histopathology. 2002; 41(3A):151–152. discussion 152-153. PMID:
12405945.
17. Moeder CB, Giltnane JM, Harigopal M. Quantitative justification of the change from 10% to 30% for human epidermal growth factor receptor 2 scoring in the American Society of Clinical Oncology/College of American Pathologists guidelines: tumor heterogeneity in breast cancer and its implications for tissue microarray based assessment of outcome. J Clin Oncol. 2007; 25:5418–5425. PMID:
18048824.
18. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, et al. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2013. Ann Oncol. 2013; 24:2206–2223. PMID:
23917950.
19. Buadu LD, Murakami J, Murayama S, Hashiguchi N, Sakai S, Masuda K, et al. Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. Radiology. 1996; 200:639–649. PMID:
8756909.
Article
20. Kuhl CK, Schild HH. Dynamic image interpretation of MRI of the breast. J Magn Reson Imaging. 2000; 12:965–974. PMID:
11105038.
Article
21. Tuncbilek N, Karakas HM, Okten OO. Dynamic magnetic resonance imaging in determining histopathological prognostic factors of invasive breast cancers. Eur J Radiol. 2005; 53:199–205. PMID:
15664283.
Article
22. Mussurakis S, Buckley DL, Horsman A. Dynamic MR imaging of invasive breast cancer: correlation with tumour grade and other histological factors. Br J Radiol. 1997; 70:446–451. PMID:
9227224.
Article
23. Lee SH, Cho N, Kim SJ, Cha JH, Cho KS, Ko ES, et al. Correlation between high resolution dynamic MR features and prognostic factors in breast cancer. Korean J Radiol. 2008; 9:10–18. PMID:
18253071.
Article
24. Rakha EA, El-Sayed ME, Lee AH, Elston CW, Grainge MJ, Hodi Z, et al. Prognostic significance of Nottingham histologic grade in invasive breast carcinoma. J Clin Oncol. 2008; 26:3153–3158. PMID:
18490649.
Article
25. González-Sistal A, Sánchez AB, Del Rio MC, Arias JI, Herranz M, Ruibal A. Association between tumor size and immunohistochemical expression of Ki-67, p53 and BCL2 in a node-negative breast cancer population selected from a breast cancer screening program. Anticancer Res. 2014; 34:269–273. PMID:
24403473.
26. Szabó BK, Aspelin P, Kristoffersen Wiberg M, Tot T, Boné B. Invasive breast cancer: correlation of dynamic MR features with prognostic factors. Eur Radiol. 2003; 13:2425–2435. PMID:
12898176.
Article
27. Paik S, Tang G, Shak S, Kim C, Baker J, Kim W, et al. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol. 2006; 24:3726–3734. PMID:
16720680.
Article
28. Paik S, Shak S, Tang G, Kim C, Baker J, Cronin M, et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med. 2004; 351:2817–2826. PMID:
15591335.
Article
29. Krüger K, Stefansson IM, Collett K, Arnes JB, Aas T, Akslen LA. Microvessel proliferation by co-expression of endothelial nestin and Ki-67 is associated with a basal-like phenotype and aggressive features in breast cancer. Breast. 2013; 22:282–288. PMID:
22840462.
Article
30. Pabst T, Kenn W, Kaiser WA, Hahn D. Understanding why contrast enhancement in dynamic MRI is not reproducible: illustration with a simple phantom. Breast J. 2001; 7:166–170. PMID:
11469929.
Article
31. Seo M, Ryu JK, Jahng GH, Sohn YM, Rhee SJ, Oh JH, et al. Estimation of T2
* relaxation time of breast cancer: correlation with clinical, imaging and pathological features. Korean J Radiol. 2017; 18:238–248. PMID:
28096732.
32. Chen SQ, Huang M, Shen YY, Liu CL, Xu CX. Abbreviated MRI protocols for detecting breast cancer in women with dense breasts. Korean J Radiol. 2017; 18:470–475. PMID:
28458599.
Article