Diagnostic and Prognostic Value of Pretreatment SUV in 18F-FDG/PET in Breast Cancer: Comparison with Apparent Diffusion Coefficient from Diffusion-Weighted MR Imaging
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Hiroshi Honda | Shingo Baba | Yasuhiro Maruoka | Masayuki Sasaki | Tsuyoshi Yoshida | S. Baba | M. Sasaki | H. Honda | Tsuyoshi Yoshida | Y. Kitamura | T. Isoda | Y. Maruoka | Yoshiyuki Kitamura | Takuro Isoda
[1] M. Souvatzoglou,et al. FDG PET and PET/CT. , 2013, Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer.
[2] A. Nassar,et al. Inference of the Basal Epithelial Phenotype in Breast Carcinoma from Differential Marker Expression, Using Tissue Microarrays in Triple Negative Breast Cancer and Women Younger than 35 , 2012, The breast journal.
[3] Sung Hun Kim,et al. 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 , 2012, World Journal of Surgical Oncology.
[4] A. Jemal,et al. Cancer statistics, 2012 , 2012, CA: a cancer journal for clinicians.
[5] Y. Kajiya,et al. FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion , 2010, European Journal of Nuclear Medicine and Molecular Imaging.
[6] H. Hatabu,et al. Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. , 2009, AJR. American journal of roentgenology.
[7] J. Abraham,et al. Role of positron-emission tomography scan in the diagnosis and management of breast cancer. , 2009, Oncology.
[8] Hiroshi Honda,et al. Apparent diffusion coefficients of breast tumors: clinical application. , 2008, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.
[9] Steven Sourbron,et al. Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings--preliminary results. , 2008, Radiology.
[10] Joan C Vilanova,et al. Diffusion-weighted whole-body MR screening. , 2008, European journal of radiology.
[11] T. Hirai,et al. Magnetic resonance imaging of pilocytic astrocytomas: usefulness of the minimum apparent diffusion coefficient (adc) value for differentiation from high-grade gliomas , 2008, Acta radiologica.
[12] A. Alavi,et al. Comparison of triple‐negative and estrogen receptor‐positive/progesterone receptor‐positive/HER2‐negative breast carcinoma using quantitative fluorine‐18 fluorodeoxyglucose/positron emission tomography imaging parameters , 2008, Cancer.
[13] [Value of fused 18F-FDG PET/CT images in predicting efficacy of neoadjuvant chemotherapy on breast cancer]. , 2007, Ai zheng = Aizheng = Chinese journal of cancer.
[14] D. Collins,et al. Diffusion-weighted MRI in the body: applications and challenges in oncology. , 2007, AJR. American journal of roentgenology.
[15] Yaming Li,et al. [Performance of 18F-FDG PET/CT in the detection of primary breast cancer and staging of the regional lymph nodes]. , 2007, Zhonghua zhong liu za zhi [Chinese journal of oncology].
[16] Thomas E Yankeelov,et al. Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. , 2007, Magnetic resonance imaging.
[17] Peter Gibbs,et al. Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. , 2006, Magnetic resonance imaging.
[18] Thierry Metens,et al. Quantitative diffusion imaging in breast cancer: A clinical prospective study , 2006, Journal of magnetic resonance imaging : JMRI.
[19] C. Kuhl,et al. Diagnostic usefulness of segmental and linear enhancement in dynamic breast MRI , 2005, European Radiology.
[20] Claudio Landoni,et al. PET/CT and breast cancer , 2004, European Journal of Nuclear Medicine and Molecular Imaging.
[21] M. Tonato,et al. Evaluation of the Prognostic Role of Vascular Endothelial Growth Factor and Microvessel Density in Stages I and II Breast Cancer Patients , 2003, Breast Cancer Research and Treatment.
[22] Peter Devilee,et al. Pathology and Genetics of Tumours of the Breast and Female Genital Organs , 2003 .
[23] Ning-Yu An,et al. Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging , 2002, Journal of magnetic resonance imaging : JMRI.
[24] M. Kurosumi,et al. [Diagnosis of breast cancer extent and enhancement patterns using 3D-dynamic MR imaging: correlation with intraductal component]. , 1999, Nihon Igaku Hoshasen Gakkai zasshi. Nippon acta radiologica.
[25] M Schwaiger,et al. Metabolic characterization of breast tumors with positron emission tomography using F-18 fluorodeoxyglucose. , 1996, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[26] R L Wahl,et al. Metabolic monitoring of breast cancer chemohormonotherapy using positron emission tomography: initial evaluation. , 1993, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[27] G. Hortobagyi,et al. Positron emission tomography with fluorine‐18‐deoxyglucose in the detection and staging of breast cancer , 1993, Cancer.
[28] N. Dubrawsky. Cancer statistics , 1989, CA: a cancer journal for clinicians.