دورية أكاديمية
Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients
| العنوان: | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
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| المؤلفون: | Eun Cho, Jin Hwa Lee, Hye Jin Baek, Ji Young Ha, Kyeong Hwa Ryu, Sung Eun Park, Jin Il Moon, Sung-Min Gho, Tetsuya Wakayama |
| المصدر: | Diagnostics, Vol 10, Iss 8, p 538 (2020) |
| بيانات النشر: | MDPI AG, 2020. |
| سنة النشر: | 2020 |
| المجموعة: | LCC:Medicine (General) |
| مصطلحات موضوعية: | reduced field-of-view, diffusion-weighted imaging, computed diffusion-weighted imaging, breast cancer, Medicine (General), R5-920 |
| الوصف: | Background: We evaluated the feasibility of the reduced field-of-view (rFOV) diffusion-weighted imaging (DWI) with computed DWI technique by comparison and analysis of the inter-method agreement among acquired rFOV DWI (rFOVA), rFOV DWI with computed DWI technique (rFOVS), and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in patients with breast cancer. Methods: A total of 130 patients with biopsy-proven breast cancers who underwent breast MRI from April 2017 to December 2017 were included in this study. The rFOVS were reformatted by calculation of the apparent diffusion coefficient curve obtained from rFOVA b = 0 s/mm2 and b = 500 s/mm2. Visual assessment of the image quality of rFOVA b = 1000 s/mm2, rFOVS, and DCE MRI was performed using a four-point grading system. Morphologic analyses of the index cancer was performed on rFOVA, rFOVS, and DCE MRI. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and contrast of tumor-to-parenchyma (TPC) were calculated. Results: Image quality scores with rFOVA, rFOVS, and DCE MRI were not significantly different (p = 0.357). Lesion analysis of shape, margin, and size of the index cancer also did not show significant differences among the three sequences (p = 0.858, p = 0.242, and p = 0.858, respectively). SNR, CNR, and TPC of DCE MRI were significantly higher than those of rFOVA and rFOVS (p < 0.001, p = 0.001, and p = 0.016, respectively). Significant differences were not found between the SNR, CNR, and TPC of rFOVA and those of rFOVS (p > 0.999, p > 0.999, and p > 0.999, respectively). Conclusion: The rFOVA and rFOVS showed nearly equivalent levels of image quality required for morphological analysis of the tumors and for lesion conspicuity compared with DCE MRI. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 10080538 2075-4418 |
| Relation: | https://www.mdpi.com/2075-4418/10/8/538; https://doaj.org/toc/2075-4418 |
| DOI: | 10.3390/diagnostics10080538 |
| URL الوصول: | https://doaj.org/article/62c69b843de143989e71d37e9e365b61 |
| رقم الأكسشن: | edsdoj.62c69b843de143989e71d37e9e365b61 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 10080538 20754418 |
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| DOI: | 10.3390/diagnostics10080538 |