2019
DOI: 10.1016/j.mri.2019.03.004
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7T CEST MRI: A potential imaging tool for the assessment of tumor grade and cell proliferation in breast cancer

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Cited by 31 publications
(43 citation statements)
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“…Δω DS ≈ 0 ppm). In contrast to previously reported fat‐correction approaches, the proposed normalization neither requires a fat saturation, or water excitation scheme, nor requires additional measurements as e.g. in the case of a Dixon‐based water‐fat separation .…”
Section: Discussionmentioning
confidence: 99%
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“…Δω DS ≈ 0 ppm). In contrast to previously reported fat‐correction approaches, the proposed normalization neither requires a fat saturation, or water excitation scheme, nor requires additional measurements as e.g. in the case of a Dixon‐based water‐fat separation .…”
Section: Discussionmentioning
confidence: 99%
“…Applications range from tumor grading, over the assessment of therapy response after radiation treatment, to the differentiation of histologic and genetic subtypes of tumors . Although most applications aim at examination of brain tumors, there is also an emerging interest in the application of APT‐CEST MRI for the diagnosis of breast cancer …”
Section: Introductionmentioning
confidence: 99%
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“…In our study, increasing the power produced a larger CEST signal, which facilitated signal detection. Unfortunately, using a higher saturation power not only increases the magnetization transfer (MT) signal dramatically but also increases the likelihood of reaching specific absorption rate (SAR) safety limits [55, 56]. Therefore, a relatively lower saturation power may reduce the effects of MT and is preferred in a clinical setting with regard to safety concerns.…”
Section: Resultsmentioning
confidence: 99%
“…In terms of diagnosis and tumor detection, 7-Tesla MRI has been described as a safe procedure in breast cancer [51]. 3D chemicalexchange saturation transfer imaging (CEST) showed that magnetization transfer asymmetry values were positively correlated with tumor proliferation and that this index might become a biomarker of high interest in breast tumor characterization [52]. In prostate cancer, early detection of adenocarcinoma with discrimination among cancer stages has been reported as possible in mice model using apparent diffusion coefficient (ADC) [53].…”
Section: Discussionmentioning
confidence: 99%