Yıl: 2020 Cilt: 3 Sayı: 1 Sayfa Aralığı: 37 - 46 Metin Dili: İngilizce DOI: 10.30714/j-ebr.2020157452 İndeks Tarihi: 22-11-2020

The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses

Öz:
Aim: To investigate the role of diffusion weighted magnetic resonance imaging (MRI) indifferentiation of benign and malignant breast lesions using apparent diffusion coefficient (ADC)values preoperatively.Methods: A total of 30 women between the ages of 14-75 years (mean, 47, 6 years) with 30histopathologically verified breast lesions were investigated in this study. The patients were examinedby a 1 , 5 T MRI device using bilateral phased array breast coil. Spin echo planar diffusion imagingwas used to scan patients. Images were obtained by b values 0 and 500 seconds/mm². Mean ADCvalues of the benign and malignant lesions were measured and calculated. The comparison betweenthe histopathological diagnoses and the mean ADCs were performed by Mann Whitney U test.Results: The diagnosis of 30 patients with 30 breast lesions were as follows; malign lesions (n=13),benign lesions (n=17). The ADC values were as follows (in units of 10-3mm² /sec): benign breastlesions (range: 1, 09-1, 98, mean: 1 , 45) and malignant breast lesions (range: 0, 59-1, 08, mean: 0,76). The mean ADC obtained from malignant breast lesions was statistically different from thatobserved in benign solid lesions (p<0, 01).Conclusion: Diffusion imaging can be used in differentiation of malign and benign breast lesions.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1]Ferlay J, Soerjomataram I, Dikshit R. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):359–86.
  • [2]Ferlay J, Shin HR, Bray F, et al. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127(12):2893-917.
  • [3]Kopans DB. The positive predictive value of mammography. AJR Am J Roentgenol. 1992;158(3):521-26.
  • [4]Aberle DR, Chiles C, Gatsonis C, et al. Imaging and cancer: research strategy of the American College of Radiology Imaging Network. Radiology. 2005;235(3):741-51.
  • [5]Leung JW. Screening mammography reduces morbidity of breast cancer treatment. AJR Am J Roentgenol. 2005;184(5):1508-09.
  • [6]Mahesh M. AAPM/RSNA physics tutorial for residents: digital mammography: an overview. Radiographics. 2004;24(6):1747- 60.
  • [7]Orel SG, Schnall MD. MR imaging of the breast for the detection, diagnosis, and staging of breast cancer. Radiology. 2001, 220(1): 13-30.
  • [8]Kuhl CK, Mielcareck P, Klaschik S, et al. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?. Radiology. 1999;211(1): 101-10.
  • [9]Partridge SC, DeMartini WB, Kurland BF, et al. Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value. AJR Am J Roentgenol. 2009;193(6):1716- 22.
  • [10] Hetta W. Role of diffusion weighted images combined with breast MRI in improving the detection and differentiation of breast lesions. Egypt J Radiol Nucl Med. 2015; 46 (1): 259-70.
  • [11] Sinha S, Lucas-Quesada FA, Sinha U, et al. In vivo diffusion-weighted MRI of the breast: potential for lesion characterization. J Magn Reson Imaging. 2002;15(6):693– 704.
  • [12] Provenzale JM, Sorensen AG. Diffusionweighted MR imaging in acute stroke: theoretic considerations and clinical applications. AJR 1999; 173(6): 1459– 67.
  • [13] Le Bihan D, Breton E, Lallemand D, et al. Separation of diffusion and perfusion in intra-voxel incoherent motion imaging. Radiology. 1988;168(2): 497–505.
  • [14] Guo Y, Cai ZI, Cai YQ, et al. Elementary Clinical Estimation of DWI and ADC Value in Differentiating Benign and Malignant Breast Lesions [abstract]. In: Proceedings of the Eighth Annual Meeting of ISRMRM, Denver, 2000:2158. Proc Intl Sot Mag Reson Med. 2000; 8:2158.
  • [15] Van Bodegraven EA, van Raaij JC, Van Goethem M, et al. Guidelines and recommendations for MRI in breast cancer follow-up: A review. Eur J Obstet Gynecol Reprod Biol. 2017;218:5–11.
  • [16] Mehnati P, Tirtash MJ. Comparative efficacy of four imaging instruments for breast cancer screening. Asian Pac J Cancer Prev. 2015;16(15):6177–86.
  • [17] Robinson IA, McKee G, Nicholson A, et al. Prognostic value of cytological grading of fine-needle aspirates from breast carcinomas. Lancet. 1999; 343(8903):947- 49.
  • [18] Ducatman BS, Emery ST, Wang HH. Correlation of histologic grade of breast carcinoma with cytologic features on fineneedle aspiration of the breast. Mod Pathol. 1993;6(5):539–43.
  • [19] Le Bihan D, Breton E, Lallemand D, et al. MR Imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders. Radiology. 1986;161(2): 401 -7.
  • [20] Yamashita Y, Tang Y, Takahashi M. Ultrafast MR imaging of the abdomen: echo planar imaging and diffusion-weighted imaging. J Magn Reson Imaging. 1998;8(2):367–74.
  • [21] Kinoshita T, Yashiro N, Ihara N, et al. Diffusion weighted half-Fourier single-shot turbo spin echo imaging in breast tumors: differentiation of invasive ductal carcinoma from fibroadenoma. J Comput Assist Tomogr. 2002;26(6):1042-46.
  • [22] Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion weighted imaging. J Magn Reson Imaging. 2002;16(2):172-78.
  • [23] Sugahara T, Korogi Y, Kochi M, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging. 1999; 9(1): 53–60.
  • [24] Marini C, Facconi C, Giannelli M, et al. Quantitative diffusion-weighted MR imaging in the differantial diagnosis of breast lesion. Eur Radiol. 2007; 17(10):2646-55.
  • [25] Partridge SC, Demartini WB, Kurland BF, et al. Differantial diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI. J Magn Reson Imaging. 2010;31(3);562-70.
  • [26] Buadu LD, Murakami J, Murayama S, et al. Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. Radiology. 1996; 200(3):639–49.
  • [27] Von Dijke CF, Brasch RC, Roberts TP, et al. Mammary carcinoma model: correlation of macromolecular contrast-enhanced MR imaging characterizations of tumor microvasculature and histologic capillary density. Radiology. 1996;198(3):813–18.
  • [28] Kuroki Y, Nasu K, Kuroki S, Murakami K, et al. Diffusion-weighted imaging of breast cancer with the sensitivity encoding technique: analysis of the apparent diffusion coefficient value. Magn Reson Med Sci. 2004;3(2):79-85.
  • [29] Woodhams R, Matsunaga K, Iwabuchi K, et al. Diffusion-weighted 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. 2005; 29(5): 644– 49.
  • [30] Partridge SC, McKinnon GC, Henry RG, etal. Menstrual Cycle Variation of Apparent Diffusion Coefficients Measured in the Normal Breast Using MRI. J Magn Reson Imaging. 2001;14(4):433-38.
APA OZBALCI A, Öztürk E, YÜCESOY C, Özbalcı G, Seker G (2020). The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. , 37 - 46. 10.30714/j-ebr.2020157452
Chicago OZBALCI AYSU BASAK,Öztürk Emine,YÜCESOY CÜNEYT,Özbalcı Gökhan Selçuk,Seker Gaye Ebru The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. (2020): 37 - 46. 10.30714/j-ebr.2020157452
MLA OZBALCI AYSU BASAK,Öztürk Emine,YÜCESOY CÜNEYT,Özbalcı Gökhan Selçuk,Seker Gaye Ebru The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. , 2020, ss.37 - 46. 10.30714/j-ebr.2020157452
AMA OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. . 2020; 37 - 46. 10.30714/j-ebr.2020157452
Vancouver OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. . 2020; 37 - 46. 10.30714/j-ebr.2020157452
IEEE OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G "The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses." , ss.37 - 46, 2020. 10.30714/j-ebr.2020157452
ISNAD OZBALCI, AYSU BASAK vd. "The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses". (2020), 37-46. https://doi.org/10.30714/j-ebr.2020157452
APA OZBALCI A, Öztürk E, YÜCESOY C, Özbalcı G, Seker G (2020). The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. Experimental Biomedical Research, 3(1), 37 - 46. 10.30714/j-ebr.2020157452
Chicago OZBALCI AYSU BASAK,Öztürk Emine,YÜCESOY CÜNEYT,Özbalcı Gökhan Selçuk,Seker Gaye Ebru The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. Experimental Biomedical Research 3, no.1 (2020): 37 - 46. 10.30714/j-ebr.2020157452
MLA OZBALCI AYSU BASAK,Öztürk Emine,YÜCESOY CÜNEYT,Özbalcı Gökhan Selçuk,Seker Gaye Ebru The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. Experimental Biomedical Research, vol.3, no.1, 2020, ss.37 - 46. 10.30714/j-ebr.2020157452
AMA OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. Experimental Biomedical Research. 2020; 3(1): 37 - 46. 10.30714/j-ebr.2020157452
Vancouver OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses. Experimental Biomedical Research. 2020; 3(1): 37 - 46. 10.30714/j-ebr.2020157452
IEEE OZBALCI A,Öztürk E,YÜCESOY C,Özbalcı G,Seker G "The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses." Experimental Biomedical Research, 3, ss.37 - 46, 2020. 10.30714/j-ebr.2020157452
ISNAD OZBALCI, AYSU BASAK vd. "The role of diffusion weighted imaging in magnetic resonance to evaluate breast masses". Experimental Biomedical Research 3/1 (2020), 37-46. https://doi.org/10.30714/j-ebr.2020157452