Toshiki Kazama, Yui Nagafuji, Naoki Niikura, Takuho Okamura, Marc Van Cauteren, Makoto Obara, Susumu Takano, Natsuo Konta, Tomohiko Horie, Taro Takahara, Nobue Kumaki, Tetsu Niwa, Jun Hashimoto
{"title":"使用带背景抑制的扩散加权成像(DWIBS)的压缩灵敏度编码回声平面成像(EPICS)在评估小乳腺癌中的实用性。","authors":"Toshiki Kazama, Yui Nagafuji, Naoki Niikura, Takuho Okamura, Marc Van Cauteren, Makoto Obara, Susumu Takano, Natsuo Konta, Tomohiko Horie, Taro Takahara, Nobue Kumaki, Tetsu Niwa, Jun Hashimoto","doi":"10.2463/mrms.mp.2023-0151","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>High b-value acquisition and diffusion-weighted imaging with background suppression (DWIBS) are desirable in high-specificity breast cancer diagnosis on non-contrast-enhanced magnetic resonance imaging; however, this inherently results in a lower signal-to-noise ratio (SNR). Compressed sensitivity encoding (C-SENSE), which combines SENSE with compressed sensing, improves the SNR by reducing noise. Recent technological improvements allow us to incorporate this acceleration technique into echo-planar imaging, called echo-planar imaging with C-SENSE (EPICS). This study aimed to compare image quality and reliability of the apparent diffusion coefficient (ADC) between DWIBS obtained using SENSE and EPICS in patients with small breast cancers.</p><p><strong>Methods: </strong>Thirty-seven patients with pathologically confirmed breast cancer underwent DWIBS, and images were reconstructed using both conventional SENSE (SENSE-DWIBS) and EPICS (EPICS-DWIBS). Two board-certified radiologists independently evaluated lesion conspicuity (LC) and noise using a 5-point grading scale. The same 2 radiologists independently measured SNR, contrast-to-noise ratio (CNR), and the mean cancer ADC. The Pearson coefficient and Bland-Altman plot were applied to assess the accuracy of ADCs.</p><p><strong>Results: </strong>LC scores were higher with EPICS than with SENSE, reaching significance for one reviewer but not the other reviewer. Noise ratings on visual evaluation were significantly lower with EPICS than with SENSE (P < 0.001 for both reviewers). SNR was significantly higher with EPICS than with SENSE (P < 0.005 for both reviewers). CNR was significantly higher with EPICS than with SENSE (P < 0.001 for both reviewers). Bland-Altman plots of cancer ADCs using EPICS-DWIBS and SENSE-DWIBS showed excellent concordance, with a bias of 0.026 × 10<sup>-3</sup> mm<sup>2</sup>/s and limits of agreement ranging 0.054 × 10<sup>-3</sup> mm<sup>2</sup>/s; the Pearson's correlation coefficient was 0.997 (P < 0.0001).</p><p><strong>Conclusion: </strong>EPICS enhances breast DWIBS image quality, with improved SNR and CNR and reduced noise levels. The ADCs of breast cancers obtained using EPICS were almost perfectly correlated with those obtained using conventional SENSE.</p>","PeriodicalId":94126,"journal":{"name":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Utility of Echo-planar Imaging with Compressed Sensitivity Encoding (EPICS) in the Evaluation of Small Breast Cancers Using Diffusion-weighted Imaging with Background Suppression (DWIBS).\",\"authors\":\"Toshiki Kazama, Yui Nagafuji, Naoki Niikura, Takuho Okamura, Marc Van Cauteren, Makoto Obara, Susumu Takano, Natsuo Konta, Tomohiko Horie, Taro Takahara, Nobue Kumaki, Tetsu Niwa, Jun Hashimoto\",\"doi\":\"10.2463/mrms.mp.2023-0151\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>High b-value acquisition and diffusion-weighted imaging with background suppression (DWIBS) are desirable in high-specificity breast cancer diagnosis on non-contrast-enhanced magnetic resonance imaging; however, this inherently results in a lower signal-to-noise ratio (SNR). Compressed sensitivity encoding (C-SENSE), which combines SENSE with compressed sensing, improves the SNR by reducing noise. Recent technological improvements allow us to incorporate this acceleration technique into echo-planar imaging, called echo-planar imaging with C-SENSE (EPICS). This study aimed to compare image quality and reliability of the apparent diffusion coefficient (ADC) between DWIBS obtained using SENSE and EPICS in patients with small breast cancers.</p><p><strong>Methods: </strong>Thirty-seven patients with pathologically confirmed breast cancer underwent DWIBS, and images were reconstructed using both conventional SENSE (SENSE-DWIBS) and EPICS (EPICS-DWIBS). Two board-certified radiologists independently evaluated lesion conspicuity (LC) and noise using a 5-point grading scale. The same 2 radiologists independently measured SNR, contrast-to-noise ratio (CNR), and the mean cancer ADC. The Pearson coefficient and Bland-Altman plot were applied to assess the accuracy of ADCs.</p><p><strong>Results: </strong>LC scores were higher with EPICS than with SENSE, reaching significance for one reviewer but not the other reviewer. Noise ratings on visual evaluation were significantly lower with EPICS than with SENSE (P < 0.001 for both reviewers). SNR was significantly higher with EPICS than with SENSE (P < 0.005 for both reviewers). CNR was significantly higher with EPICS than with SENSE (P < 0.001 for both reviewers). Bland-Altman plots of cancer ADCs using EPICS-DWIBS and SENSE-DWIBS showed excellent concordance, with a bias of 0.026 × 10<sup>-3</sup> mm<sup>2</sup>/s and limits of agreement ranging 0.054 × 10<sup>-3</sup> mm<sup>2</sup>/s; the Pearson's correlation coefficient was 0.997 (P < 0.0001).</p><p><strong>Conclusion: </strong>EPICS enhances breast DWIBS image quality, with improved SNR and CNR and reduced noise levels. The ADCs of breast cancers obtained using EPICS were almost perfectly correlated with those obtained using conventional SENSE.</p>\",\"PeriodicalId\":94126,\"journal\":{\"name\":\"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2463/mrms.mp.2023-0151\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2463/mrms.mp.2023-0151","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:在非对比度增强磁共振成像的高特异性乳腺癌诊断中,高 b 值采集和带背景抑制的扩散加权成像(DWIBS)是可取的;然而,这必然导致较低的信噪比(SNR)。压缩灵敏度编码(C-SENSE)将 SENSE 与压缩传感相结合,通过降低噪声来提高信噪比。最近的技术改进使我们能够将这种加速技术应用到回声平面成像中,即 C-SENSE 回声平面成像(EPICS)。本研究旨在比较小型乳腺癌患者使用 SENSE 和 EPICS 获得的 DWIBS 图像质量和表观扩散系数(ADC)的可靠性:37名经病理确诊的乳腺癌患者接受了DWIBS检查,并使用传统的SENSE(SENSE-DWIBS)和EPICS(EPICS-DWIBS)重建了图像。由两名经委员会认证的放射科医生采用 5 点分级法独立评估病灶的清晰度(LC)和噪声。同两名放射科医生独立测量信噪比(SNR)、对比度与噪声比(CNR)和平均癌症 ADC。采用皮尔逊系数和Bland-Altman图评估ADC的准确性:EPICS的LC评分高于SENSE,其中一位评审员的LC评分达到了显著性水平,而另一位评审员的LC评分未达到显著性水平。EPICS的视觉评估噪音评分明显低于SENSE(P -3 mm2/s,一致性范围为0.054 × 10-3 mm2/s;Pearson相关系数为0.997(P 结论:EPICS提高了乳腺DWI的准确性:EPICS 提高了乳腺 DWIBS 图像质量,改善了 SNR 和 CNR,降低了噪声水平。使用 EPICS 获得的乳腺癌 ADC 与使用传统 SENSE 获得的 ADC 几乎完全相关。
Utility of Echo-planar Imaging with Compressed Sensitivity Encoding (EPICS) in the Evaluation of Small Breast Cancers Using Diffusion-weighted Imaging with Background Suppression (DWIBS).
Purpose: High b-value acquisition and diffusion-weighted imaging with background suppression (DWIBS) are desirable in high-specificity breast cancer diagnosis on non-contrast-enhanced magnetic resonance imaging; however, this inherently results in a lower signal-to-noise ratio (SNR). Compressed sensitivity encoding (C-SENSE), which combines SENSE with compressed sensing, improves the SNR by reducing noise. Recent technological improvements allow us to incorporate this acceleration technique into echo-planar imaging, called echo-planar imaging with C-SENSE (EPICS). This study aimed to compare image quality and reliability of the apparent diffusion coefficient (ADC) between DWIBS obtained using SENSE and EPICS in patients with small breast cancers.
Methods: Thirty-seven patients with pathologically confirmed breast cancer underwent DWIBS, and images were reconstructed using both conventional SENSE (SENSE-DWIBS) and EPICS (EPICS-DWIBS). Two board-certified radiologists independently evaluated lesion conspicuity (LC) and noise using a 5-point grading scale. The same 2 radiologists independently measured SNR, contrast-to-noise ratio (CNR), and the mean cancer ADC. The Pearson coefficient and Bland-Altman plot were applied to assess the accuracy of ADCs.
Results: LC scores were higher with EPICS than with SENSE, reaching significance for one reviewer but not the other reviewer. Noise ratings on visual evaluation were significantly lower with EPICS than with SENSE (P < 0.001 for both reviewers). SNR was significantly higher with EPICS than with SENSE (P < 0.005 for both reviewers). CNR was significantly higher with EPICS than with SENSE (P < 0.001 for both reviewers). Bland-Altman plots of cancer ADCs using EPICS-DWIBS and SENSE-DWIBS showed excellent concordance, with a bias of 0.026 × 10-3 mm2/s and limits of agreement ranging 0.054 × 10-3 mm2/s; the Pearson's correlation coefficient was 0.997 (P < 0.0001).
Conclusion: EPICS enhances breast DWIBS image quality, with improved SNR and CNR and reduced noise levels. The ADCs of breast cancers obtained using EPICS were almost perfectly correlated with those obtained using conventional SENSE.