Depiction of Acute Stroke Using 3-Tesla Clinical Amide Proton Transfer Imaging: Saturation Time Optimization Using an <i>in vivo</i> Rat Stroke Model, and a Preliminary Study in Human

Park, Ji Eun; Kim, Ho Sung; Jung, Sung Eun; Keupp, Jochen; Jeong, Ha-Kyu; Kim, Sang Joon

doi:10.13104/imri.2017.21.2.65

Cited by 4 publications

(6 citation statements)

References 17 publications

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“…The number of published clinical studies showed a gradual increase over the years. In the 14 studies, a total of 282 patients had been scanned with APT imaging after accounting for those judged to be duplicate analyses (using the same patient data but for different purposes); the study by Harston et al (33) and two studies by Msayib et al (34,35) (26,(33)(34)(35)(36)(37), three studies involved only acute stroke patients (29,38,39), one study included both hyperacute and acute patients (40), two studies involved acute and early subacute patients (41,42), while two studies involved patients from the hyperacute to early subacute stages (30,43). Further information on these studies such as the treatment received by patients, scanner field strength, radio frequency (RF) saturation scheme, imaging acquisition parameters, image acquisition time, APT effect quantification method, and other MRI sequences acquired, are presented in https://cdn.amegroups.cn/static/public/qims-20-1339-1.…”

Section: Clinical Studies From 2003-2020mentioning

confidence: 99%

“…In the same year, Heo et al (37) published a study on improving the quantification of APT effect in ischemic tissue by using extrapolated semisolid magnetization transfer reference (EMR) data analysis, which was found to produce higher contrast between ischemic and non-ischemic tissue compared to asymmetry analysis. In another study, Park et al (39) sought to optimize the saturation time for a three-dimensional (3D) turbo spin-echo (TSE) acquisition and Sinc-Gaussian saturation scheme. The optimized saturation scheme was then applied on an acute stroke patient as a proof of concept study.…”

Section: Clinical Studies From 2003-2020mentioning

confidence: 99%

See 1 more Smart Citation

Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003–2020)

Foo¹,

Harston²,

Mehndiratta³

et al. 2021

Quant Imaging Med Surg

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Amide proton transfer (APT) magnetic resonance imaging (MRI) is a pH-sensitive imaging technique that can potentially complement existing clinical imaging protocol for the assessment of ischemic stroke. This review aims to summarize the developments in the clinical research of APT imaging of ischemic stroke after 17 years of progress since its first preclinical study in 2003. Three electronic databases: PubMed, Scopus, and Cochrane Library were systematically searched for articles reporting clinical studies on APT imaging of ischemic stroke. Only articles in English published between 2003 to 2020 that involved patients presenting ischemic stroke-like symptoms that underwent APT MRI were included. Of 1,093 articles screened, 14 articles met the inclusion criteria with a total of 282 patients that had been scanned using APT imaging. Generally, the clinical studies agreed APT effect to be hypointense in ischemic tissue compared to healthy tissue, allowing for the detection of ischemic stroke. Other uses of APT imaging have also been investigated in the studies, including penumbra identification, predicting long term clinical outcome, and serving as a biomarker for supportive treatment monitoring. The published results demonstrated the potential of APT imaging in these applications, but further investigations and larger trials are needed for conclusive evidence. Future studies are recommended to report the result of asymmetry analysis at 3.5 ppm along with the findings of the study to reduce this contribution to the heterogeneity of experimental methods observed and to facilitate effective comparison of results between studies and centers. In addition, it is important to focus on the development of fast 3D imaging for full volumetric ischemic tissue assessment for clinical translation.

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Section: Clinical Studies From 2003-2020mentioning

confidence: 99%

Section: Clinical Studies From 2003-2020mentioning

confidence: 99%

Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003–2020)

Foo¹,

Harston²,

Mehndiratta³

et al. 2021

Quant Imaging Med Surg

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“…CEST MRI contrasts are often categorized depending on a labile proton pool of interest by: APEX for amine, 3,4 APT for amide, 5‐7 GluCEST for glutamate 8,9 . Recent studies have shown that CEST MRI produces image contrast useful for diagnosing patients with cancer or stroke 10‐13 …”

Section: Introductionmentioning

confidence: 99%

“…8,9 Recent studies have shown that CEST MRI produces image contrast useful for diagnosing patients with cancer or stroke. [10][11][12][13] Due to the CEST labeling process that uses a specific irradiation frequency of radio frequency (RF) pulse, CEST MRI is sensitive to main magnetic field inhomogeneities. To allow retrospective field correction, z-spectrum acquisition over a predefined set of CEST labeling frequencies is typically required.…”

Section: Introductionmentioning

confidence: 99%

Rapid three‐dimensional steady‐state chemical exchange saturation transfer magnetic resonance imaging

Lee

Choi

Sohn

et al. 2020

Magnetic Resonance in Med

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To make clinically feasible whole-brain chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) by enhancing imaging efficiency. Methods: A novel, whole-brain three-dimensional (3D) steady-state CEST MRI method was introduced by utilizing a time-efficient, fat-suppressed excitation followed by rapid, segmented 3D echo-planar-imaging with incoherent undersampling in k-ω space. Missing signals and CEST-specific spectral images were then jointly estimated directly from incomplete measurements using model-based reconstruction and robust spectral analysis. In vivo studies were performed at 3T both retrospectively (using a fully sampled reference) and prospectively to validate the effectiveness of the proposed method in patients with brain cancer. Results: In retrospective studies, the proposed method exhibits superior accuracies to existing methods in estimating images, z-spectra, and APTw relative to the reference. In prospective patient studies, compared with existing methods, the proposed method is statistically significantly different in contrast-to-noise ratio of the APTw contrast between tumor and normal appearing white matter (NAWM) and amide proton transfer weighted contrast (p < 0.05) while not being significantly different in signal-to-noise ratio in an NAWM region. Conclusions: We successfully demonstrated that it is feasible to perform wholebrain CEST MRI roughly within 4 minutes for patients with brain cancer. It is expected that the proposed method widens clinical utilities of CEST MRI.

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“…Although CT scan is commonly used for the assessment of infarct lesion for stroke patients because of its availability in most emergency clinical environments, the MRI-based assessment of infarction, including DWI-ASPECTS, has shown to provide alternative methods [ 15 , 16 , 26 , 27 ]. In a recent study, automated computer-based ASPECT scoring was applied to DWI [ 28 ].…”

Section: Discussionmentioning

confidence: 99%

Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network

Baek

Kim

et al. 2020

Diagnostics

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The early detection and rapid quantification of acute ischemic lesions play pivotal roles in stroke management. We developed a deep learning algorithm for the automatic binary classification of the Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) using diffusion-weighted imaging (DWI) in acute stroke patients. Three hundred and ninety DWI datasets with acute anterior circulation stroke were included. A classifier algorithm utilizing a recurrent residual convolutional neural network (RRCNN) was developed for classification between low (1–6) and high (7–10) DWI-ASPECTS groups. The model performance was compared with a pre-trained VGG16, Inception V3, and a 3D convolutional neural network (3DCNN). The proposed RRCNN model demonstrated higher performance than the pre-trained models and 3DCNN with an accuracy of 87.3%, AUC of 0.941, and F1-score of 0.888 for classification between the low and high DWI-ASPECTS groups. These results suggest that the deep learning algorithm developed in this study can provide a rapid assessment of DWI-ASPECTS and may serve as an ancillary tool that can assist physicians in making urgent clinical decisions.

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Depiction of Acute Stroke Using 3-Tesla Clinical Amide Proton Transfer Imaging: Saturation Time Optimization Using an in vivo Rat Stroke Model, and a Preliminary Study in Human

Cited by 4 publications

References 17 publications

Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003–2020)

Clinical translation of amide proton transfer (APT) MRI for ischemic stroke: a systematic review (2003–2020)

Rapid three‐dimensional steady‐state chemical exchange saturation transfer magnetic resonance imaging

Automatic Assessment of ASPECTS Using Diffusion-Weighted Imaging in Acute Ischemic Stroke Using Recurrent Residual Convolutional Neural Network

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