scholarly journals Towards the complex dependence of MTRasym on T 1w in amide proton transfer (APT) imaging

2018 ◽  
Vol 31 (7) ◽  
pp. e3934 ◽  
Author(s):  
Zhongliang Zu
Keyword(s):  
Proton Transfer ◽  
Amide Proton ◽  
Amide Proton Transfer ◽  
Apt Imaging ◽  
Complex Dependence

scholarly journals Characterization of Lung Cancer by Amide Proton Transfer (APT) Imaging: An In-Vivo Study in an Orthotopic Mouse Model

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e77019 ◽  
Author(s):  
Osamu Togao ◽  
Chase W. Kessinger ◽  
Gang Huang ◽  
Todd C. Soesbe ◽  
Koji Sagiyama ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Mouse Model ◽  
Proton Transfer ◽  
In Vivo Study ◽  
Amide Proton ◽  
Orthotopic Mouse Model ◽  
Amide Proton Transfer ◽  
Apt Imaging

Amide proton transfer (APT) imaging of parotid tumors: Differentiation of malignant and benign tumors

2020 ◽  
Vol 129 ◽  
pp. 109047 ◽  
Author(s):  
Takeshi Kamitani ◽  
Koji Sagiyama ◽  
Osamu Togao ◽  
Yuzo Yamasaki ◽  
Tomoyuki Hida ◽  
...  
Keyword(s):  
Proton Transfer ◽  
Amide Proton ◽  
Benign Tumors ◽  
Amide Proton Transfer ◽  
Parotid Tumors ◽  
Apt Imaging ◽  
Malignant And Benign Tumors

Amide proton transfer (APT) imaging of brain tumors at 7 T: The role of tissue water T1-Relaxation properties

2016 ◽  
Vol 77 (4) ◽  
pp. 1525-1532 ◽  
Author(s):  
Vitaliy Khlebnikov ◽  
Daniel Polders ◽  
Jeroen Hendrikse ◽  
Pierre A. Robe ◽  
Eduard H. Voormolen ◽  
...  
Keyword(s):  
Brain Tumors ◽  
Proton Transfer ◽  
Amide Proton ◽  
Tissue Water ◽  
Relaxation Properties ◽  
Amide Proton Transfer ◽  
Apt Imaging ◽  
T1 Relaxation

scholarly journals Practical data acquisition method for human brain tumor amide proton transfer (APT) imaging

2008 ◽  
Vol 60 (4) ◽  
pp. 842-849 ◽  
Author(s):  
Jinyuan Zhou ◽  
Jaishri O. Blakeley ◽  
Jun Hua ◽  
Mina Kim ◽  
John Laterra ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Proton Transfer ◽  
Human Brain ◽  
Data Acquisition ◽  
Amide Proton ◽  
Human Brain Tumor ◽  
Amide Proton Transfer ◽  
Apt Imaging ◽  
Acquisition Method

scholarly journals Relaxation-compensated fast multislice amide proton transfer (APT) imaging of acute ischemic stroke

2008 ◽  
Vol 59 (5) ◽  
pp. 1175-1182 ◽  
Author(s):  
Phillip Zhe Sun ◽  
Yoshihiro Murata ◽  
Jie Lu ◽  
Xiaoying Wang ◽  
Eng H. Lo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Proton Transfer ◽  
Acute Ischemic Stroke ◽  
Amide Proton ◽  
Amide Proton Transfer ◽  
Apt Imaging

scholarly journals Amide proton transfer imaging in differentiation of type II and type I endometrial carcinoma: a pilot study

2021 ◽  
Author(s):  
Ryoya Ochiai ◽  
Naoko Mukuda ◽  
Hiroto Yunaga ◽  
Shinichiro Kitao ◽  
Kyohei Okuda ◽  
...  
Keyword(s):  
Proton Transfer ◽  
Endometrial Carcinoma ◽  
Sensitivity And Specificity ◽  
Amide Proton ◽  
Magnetization Transfer Ratio ◽  
Type I ◽  
Type Ii ◽  
Amide Proton Transfer ◽  
Apt Imaging ◽  
Significant Difference

Abstract Purpose This study aimed at evaluating the efficacy of amide proton transfer (APT) imaging in differentiation of type II and type I uterine endometrial carcinoma. Materials and methods Thirty-three patients diagnosed with uterine endometrial carcinoma, including 24 with type I and 9 with type II carcinomas, underwent APT imaging. Two readers evaluated the magnetization transfer ratio at 3.5 ppm [MTRasym (3.5 ppm)] in each type of carcinoma. The average MTRasym (APTmean) and the maximum MTRasym (APTmax) were analyzed. The receiver operating characteristic (ROC) curve analysis was performed. Results The APTmax was significantly higher in type II carcinomas than in type I carcinomas (reader1, p = 0.004; reader 2, p = 0.014; respectively). However, APTmean showed no significant difference between type I and II carcinomas. Based on the results reported by reader 1, the area under the curve (AUC) pertaining to the APTmax for distinguishing type I from type II carcinomas was 0.826, with a cut-off, sensitivity, and specificity of 9.90%, 66.7%, and 91.3%, respectively. Moreover, based on the results reported by reader 2, the AUC was 0.750, with a cut-off, sensitivity, and specificity of 9.80%, 62.5%, and 87.5%, respectively. Conclusion APT imaging has the potential to determine the type of endometrial cancer.

Amide proton transfer MRI can accurately stratify gliomas according to their IDH mutation and 1p/19q co-deletion status.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 2561-2561
Author(s):  
Sotirios Bisdas ◽  
Stefano Casagranda ◽  
Diana Roettger ◽  
Sebastian Brandner ◽  
Lewis Thorne ◽  
...  
Keyword(s):  
Proton Transfer ◽  
Quantitative Imaging ◽  
Group Analysis ◽  
Molecular Classification ◽  
Amide Proton ◽  
Idh Mutation ◽  
Who Grade ◽  
Transfer Ratio ◽  
Amide Proton Transfer ◽  
Apt Imaging

2561 Background: Amide proton transfer (APT) MRI provides sensitive metrics at the amides and amines offsets from the water resonance and has been shown in small cohorts to differentiate low from high grade gliomas with better diagnostic performance than diffusion- and perfusion-weighted MRI. The purpose of our study was to assess APT-MRI performance to stratify gliomas according to their IDH mutation and 1p/19q status. Methods: Forty-five patients with primary gliomas and diffuse astrocytomas (26 WHO grade II, 11 WHO grade III, 8 WHO grade IV) underwent prospectively multi-parametric MRI with APT imaging at 3T scanner. The molecular classification identified 9 patients with IDH-wildtype, 1p/19q retained and 36 with IDH-mutant (22 had 1p/19q-retained, 14 had 1p/19q-codeleted). Tumour segmentations were manually created and the masks were superimposed on the calculated magnetisation transfer ratio asymmetry (MTRasym) spectra and proton transfer ratio APT maps. Individual and group analysis was conducted to analyse the statistical differences between quantitative imaging parameters for the IDH mutation and 1p/19q codeletion statuses. Results: The MTRasym spectra showed a clear difference between IDH-wildtype and IDH-mutant gliomas, with the IDH-mutant gliomas presenting a stronger contribution in the amines (p < 0.001). In IDH-mutant 1p/19q-retained and IDH-mutant 1p/19q-codeleted, the MTRasym spectra showed similarities in shape with higher intensity (approx. 60%) for the IDH-mutant 1p/19q-retained gliomas over the entire spectrum indicating an increased content in amines and amides in IDH-mutant 1p/19q-retained (p < 0.01). Notably, the latter entities showed higher amides levels than the IDH-wildtype gliomas (p < 0.03). Conclusions: APT-MRI shows a remarkable potential to disentangle the protein metabolism in gliomas, to link metabolic patterns to the IDH and 1p/19q status and hence provide robust surrogate biomarkers for non-invasive histomolecular classification with potential use as treatment monitoring tools.

scholarly journals NI-10 AVAILABILITY OF AMIDE PROTON TRANSFER-WEIGHTED MRI METRICS IN GLIOMA

2019 ◽  
Vol 1 (Supplement_2) ◽  
pp. ii27-ii27
Author(s):  
Shinji Yamashita ◽  
Minako Azuma ◽  
Kiyotaka Saito ◽  
Takashi Watanabe ◽  
Kiyotaka Yokogami ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Proton Transfer ◽  
Chemical Exchange ◽  
Chemical Exchange Saturation Transfer ◽  
Amide Proton ◽  
Molecular Characteristics ◽  
Amide Proton Transfer ◽  
Apt Imaging ◽  
Glioma Grading ◽  
Mib 1

Abstract OBJECTIVE Chemical exchange saturation transfer (CEST) is a novel MR imaging contrast technique that relies on the molecular characteristics of the sample. Amide proton transfer (APT) imaging is an emerging CEST-based MR imaging technique that is sensitive to mobile proteins and peptides in the tissue. APT imaging has become increasingly recognized as a promising imaging modality for glioma. Several reports suggest that APT signals are a promising imaging biomarker for glioma grading and prediction of molecular marker status. In this study, we assessed the utility of APT imaging in glioma by evaluating the relationship between APT signals and clinical parameters in glioma. METHODS We enrolled 23 glioma patients (25 lesions) who underwent preoperative MRI with APT imaging and surgery at our institution between May 2018 and July 2019. The median age of patients was 64 years old (range, 14–84). 2 patients had Grade 2, 1 patient had Grade 3, and 22 patients had Grade 4. APT signals were measured inside the ROI that was manually placed in the solid portion of tumor that best represented the entire tumor signal on raw APT images. RESULTS We could see that the high APT signals seemed to be related to IDH wild status and high glioma grading (IDH status; p=0.171, Grade; p=0.113). Moreover, the high APT signals were significantly strong related to high Mib-1 LI (p=0.0068, cutoff: 3.295%, sensitivity: 83%, specificity: 71%). CONCLUSIONS APT imaging might be associated with IDH mutation status and glioma grading. Especially, high APT signal was a great predictor of high MIB-1 LI in glioma.

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