참고문헌
- Basser PJ and Jones DK (2002). Diffusion-tensor MRI: theory, experimental design and data analysis-a technical review. NMR Biomed, 15, 456-67. https://doi.org/10.1002/nbm.783
- Bokacheva L, Kaplan JB, Giri DD, et al (2013). Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma. J Magn Reson Imaging, 40, 813-23.
- Choi BB, Kim SH, Kang BJ, et al (2012). Diffusion-weighted imaging and FDG PET/CT: predicting the prognoses with apparent diffusion coefficient values and maximum standardized uptake values in patients with invasive ductal carcinoma. World J Surg Oncol, 10, 126. https://doi.org/10.1186/1477-7819-10-126
- Cosottini M, Giannelli M, Siciliano G, et al (2005). Diffusiontensor MR imaging of corticospinal tract in amyotrophic lateral sclerosis and progressive muscular atrophy. Radiology, 237, 258-64. https://doi.org/10.1148/radiol.2371041506
- Coughlin SS and Ekwueme DU (2009). Breast cancer as a global health concern. Cancer Epidemiol, 33, 315-8. https://doi.org/10.1016/j.canep.2009.10.003
- Downey K, Riches SF, Morgan VA, et al (2013). Relationship between imaging biomarkers of stage I cervical cancer and poor-prognosis histologic features: quantitative histogram analysis of diffusion-weighted MR images. Am J Roentgenol, 200, 314-20. https://doi.org/10.2214/AJR.12.9545
- Fornasa F, Nesoti MV, Bovo C and Bonavina MG (2012). Diffusion-weighted magnetic resonance imaging in the characterization of axillary lymph nodes in patients with BC. J Magn Reson Imaging, 36, 858-64. https://doi.org/10.1002/jmri.23706
- Gibson LJ, Hery C, Mitton N, et al (2010). Risk factors for BC among Filipino women in Manila. Int J Cancer, 126, 515-21. https://doi.org/10.1002/ijc.24769
- Hamstra DA, Rehemtulla A and Ross BD (2007). Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol, 25, 4104-9. https://doi.org/10.1200/JCO.2007.11.9610
- Han X, Y. Dong, J. J. Xiu, et al (2014) Diffusion-weighted imaging for the left hepatic lobe has higher diagnostic accuracy for malignant focal liver lesions. Asian Pac J Cancer Prev, 15, 6155-60. https://doi.org/10.7314/APJCP.2014.15.15.6155
- Inoue K, Kozawa E, Mizukoshi W, et al (2011). Usefulness of diffusion-weighted imaging of breast tumors: quantitative and visual assessment. Jpn J Radiol, 29, 429-36. https://doi.org/10.1007/s11604-011-0575-9
- Jackson D, White IR, Riley RD (2012). Quantifying the impact of between-study heterogeneity in multivariate meta-analyses. Stat Med, 31, 3805-20. https://doi.org/10.1002/sim.5453
- Jeh SK, Kim SH, Kim HS, et al (2011). Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma. J Magn Reson Imaging, 33, 102-9. https://doi.org/10.1002/jmri.22400
- Kamitani T, Matsuo Y, Yabuuchi H, et al (2013). Correlations between apparent diffusion coefficient values and prognostic factors of BC. Magn Reson Med Sci, 12, 193-9. https://doi.org/10.2463/mrms.2012-0095
- Kim SH, Cha ES, Kim HS, et al (2009). Diffusion-weighted imaging of BC: correlation of the apparent diffusion coefficient value with prognostic factors. J Magn Reson Imaging, 30, 615-20. https://doi.org/10.1002/jmri.21884
- Koh DM, Takahara T, Imai Y, Collins DJ (2007). Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body. Magn Reson Med Sci, 6, 211-24. https://doi.org/10.2463/mrms.6.211
- Le Bihan D, Mangin JF, Poupon C, et al (2001). Diffusion tensor imaging: concepts and applications. J Magn Reson Imaging, 13, 534-46. https://doi.org/10.1002/jmri.1076
- Lehman CD (2012). Diffusion weighted imaging (DWI) of the breast: ready for clinical practice? Eur J Radiol, 81, 80-1. https://doi.org/10.1016/S0720-048X(12)70032-3
- Luo N, Su D, Jin G, et al (2013). Apparent diffusion coefficient ratio between axillary lymph node with primary tumor to detect nodal metastasis in BC patients. J Magn Reson Imaging, 38, 824-8. https://doi.org/10.1002/jmri.24031
- Luo YB, Su DK, Liu LD, et al (2012). Evaluation of axillary lymph node metastases using diffusion-weighted imaging. Chin J Oncol Prev Treatment, 4, 194-6.
- McCullough ML, Stevens VL, Patel R, et al (2009). Serum 25-hydroxyvitamin D concentrations and postmenopausal BC risk: a nested case control study in the Cancer Prevention Study-II Nutrition Cohort. Breast Cancer Res, 11, 64. https://doi.org/10.1186/bcr2356
- Nakai G, Matsuki M, Harada T, et al (2011). Evaluation of axillary lymph nodes by diffusion-weighted MRI using ultrasmall superparamagnetic iron oxide in patients with BC: initial clinical experience. J Magn Reson Imaging, 34, 557-62. https://doi.org/10.1002/jmri.22651
- Nakajo M, Kajiya Y, Kaneko T, et al (2010). FDG PET/CT and diffusion-weighted imaging for BC: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion. Eur J Nucl Med Mol Imaging, 37, 2011-20. https://doi.org/10.1007/s00259-010-1529-7
- Padhani AR, Liu G, Koh DM, et al (2009). Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia, 11, 102-25. https://doi.org/10.1593/neo.81328
- Park SH, Moon WK, Cho N, et al (2010). Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with BC. Radiology, 257, 56-63. https://doi.org/10.1148/radiol.10092021
- Parsian S, Rahbar H, Allison KH, et al (2012). Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging. Radiology, 265, 696-706. https://doi.org/10.1148/radiol.12112672
- Pediconi F, Napoli A, Di Mare L, et al (2012). MRgFUS: from diagnosis to therapy. Eur J Radiol, 81, 118-20. https://doi.org/10.1016/j.ejrad.2011.05.003
- Peters JL, Sutton AJ, Jones DR, et al (2006). Comparison of two methods to detect publication bias in meta-analysis. JAMA, 295, 676-80. https://doi.org/10.1001/jama.295.6.676
- Razek AA, Gaballa G, Denewer A, Nada N (2010). Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed, 23, 619-23. https://doi.org/10.1002/nbm.1503
- Siegel R, Naishadham D and Jemal A (2013). Cancer statistics, 2013. CA Cancer J Clin, 63, 11-30. https://doi.org/10.3322/caac.21166
- Usuda K, M. Sagawa, N. Motomo, et al (2014a) Recurrence and metastasis of lung cancer demonstrate decreased diffusion on diffusion-weighted magnetic resonance imaging. Asian Pac J Cancer Prev, 15, 6843-8. https://doi.org/10.7314/APJCP.2014.15.16.6843
- Usuda K, M. Sagawa, N. Motono, et al (2014b) Diagnostic performance of diffusion weighted imaging of malignant and benign pulmonary nodules and masses: comparison with positron emission tomography. Asian Pac J Cancer Prev, 15, 4629-35. https://doi.org/10.7314/APJCP.2014.15.11.4629
- Whiting PF, Weswood ME, Rutjes AW, et al (2006). Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol, 6, 9. https://doi.org/10.1186/1471-2288-6-9
- Woodhams R, Matsunaga K, Iwabuchi K, et al (2005). Diffusionweighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr, 29, 644-9. https://doi.org/10.1097/01.rct.0000171913.74086.1b
- Woodhams R, Ramadan S, Stanwell P, et al (2011). Diffusionweighted imaging of the breast: principles and clinical applications. Radiographics, 31, 1059-84. https://doi.org/10.1148/rg.314105160
- Wu SG, He ZY, Li Q, et al (2013). Prognostic value of metastatic axillary lymph node ratio for Chinese BC patients. PLoS One, 8, 61410. https://doi.org/10.1371/journal.pone.0061410
- Zintzaras E and Ioannidis JP (2005). HEGESMA: genome search meta-analysis and heterogeneity testing. Bioinformatics, 21, 3672-3. https://doi.org/10.1093/bioinformatics/bti536
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