Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients
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-enhan...
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MDPI AG
2020-07-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/10/8/538 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Eun Cho |
| collection | DOAJ |
| description | 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 <i>b</i> = 0 s/mm<sup>2</sup> and <i>b</i> = 500 s/mm<sup>2</sup>. Visual assessment of the image quality of rFOVA <i>b</i> = 1000 s/mm<sup>2</sup>, 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 (<i>p</i> = 0.357). Lesion analysis of shape, margin, and size of the index cancer also did not show significant differences among the three sequences (<i>p</i> = 0.858, <i>p</i> = 0.242, and <i>p</i> = 0.858, respectively). SNR, CNR, and TPC of DCE MRI were significantly higher than those of rFOVA and rFOVS (<i>p</i> < 0.001, <i>p</i> = 0.001, and <i>p</i> = 0.016, respectively). Significant differences were not found between the SNR, CNR, and TPC of rFOVA and those of rFOVS (<i>p</i> > 0.999, <i>p</i> > 0.999, and <i>p</i> > 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. |
| first_indexed | 2024-03-10T18:05:09Z |
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| id | doaj.art-62c69b843de143989e71d37e9e365b61 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T18:05:09Z |
| publishDate | 2020-07-01 |
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| spelling | doaj.art-62c69b843de143989e71d37e9e365b612023-11-20T08:33:31ZengMDPI AGDiagnostics2075-44182020-07-0110853810.3390/diagnostics10080538Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer PatientsEun Cho0Jin Hwa Lee1Hye Jin Baek2Ji Young Ha3Kyeong Hwa Ryu4Sung Eun Park5Jin Il Moon6Sung-Min Gho7Tetsuya Wakayama8Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaDepartment of Radiology, Dong-A University College of Medicine, Busan 49201, KoreaDepartment of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaDepartment of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaDepartment of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaDepartment of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaDepartment of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Changwon Hospital, Changwon 51472, KoreaMR collaboration and Development, GE Healthcare, Seoul 04637, KoreaMR collaboration and Development, GE Healthcare, Tokyo 191-0065, JapanBackground: 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 <i>b</i> = 0 s/mm<sup>2</sup> and <i>b</i> = 500 s/mm<sup>2</sup>. Visual assessment of the image quality of rFOVA <i>b</i> = 1000 s/mm<sup>2</sup>, 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 (<i>p</i> = 0.357). Lesion analysis of shape, margin, and size of the index cancer also did not show significant differences among the three sequences (<i>p</i> = 0.858, <i>p</i> = 0.242, and <i>p</i> = 0.858, respectively). SNR, CNR, and TPC of DCE MRI were significantly higher than those of rFOVA and rFOVS (<i>p</i> < 0.001, <i>p</i> = 0.001, and <i>p</i> = 0.016, respectively). Significant differences were not found between the SNR, CNR, and TPC of rFOVA and those of rFOVS (<i>p</i> > 0.999, <i>p</i> > 0.999, and <i>p</i> > 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.https://www.mdpi.com/2075-4418/10/8/538reduced field-of-viewdiffusion-weighted imagingcomputed diffusion-weighted imagingbreast cancer |
| spellingShingle | 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 Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients Diagnostics reduced field-of-view diffusion-weighted imaging computed diffusion-weighted imaging breast cancer |
| title | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
| title_full | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
| title_fullStr | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
| title_full_unstemmed | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
| title_short | Clinical Feasibility of Reduced Field-of-View Diffusion-Weighted Magnetic Resonance Imaging with Computed Diffusion-Weighted Imaging Technique in Breast Cancer Patients |
| title_sort | clinical feasibility of reduced field of view diffusion weighted magnetic resonance imaging with computed diffusion weighted imaging technique in breast cancer patients |
| topic | reduced field-of-view diffusion-weighted imaging computed diffusion-weighted imaging breast cancer |
| url | https://www.mdpi.com/2075-4418/10/8/538 |
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