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Amide Proton Transfer (APT) MRI of Brain Tumors at 3T

3T 脑肿瘤酰胺质子转移 (APT) MRI

基本信息

批准号：
10296688
负责人：
JINYUAN ZHOU
金额：
$ 38.07万
依托单位：
JOHNS HOPKINS UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2018
资助国家：
美国
起止时间：
2018-12-01 至 2024-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10296688
关键词：
3-Dimensional Amides Area Biopsy Blood - brain barrier anatomy Brain Neoplasms Cellularity Central Nervous System Neoplasms Classification Clinical Clinical Data Complex Contralateral Development Diagnosis Disease Excision Exhibits FDA approved Funding Gadolinium Genetic Genetic Markers Glioblastoma Glioma Goals Heterogeneity Histology Image Imaging Techniques Isocitrate Dehydrogenase Magnetic Resonance Imaging Malignant Glioma Malignant Neoplasms Malignant neoplasm of brain Methodology Methods Molecular Molecular Diagnosis Mutation Neuraxis Neurosurgical Procedures Operative Surgical Procedures Patients Primary Brain Neoplasms Prognosis Proteins Protocols documentation Protons Radiation therapy Recurrence Reproducibility Research Research Methodology Retrospective Studies Sampling Signal Transduction Technology Therapeutic Time Tumor Burden Variant base brain magnetic resonance imaging brain tissue cancer diagnosis cancer therapy chemotherapy clinical application design high risk image guided imaging biomarker molecular marker molecular phenotype mutant mutational status neuro-oncology neuroimaging neurosurgery novel therapeutics patient prognosis radiological imaging tumor tumorigenesis user-friendly

项目摘要

ABSTRACT Gliomas, the most common primary brain tumors, are biologically complex and exhibit substantial molecular and phenotypic spatial variation. A major obstacle in both the daily management of patients with gliomas, and in the development of new therapies for these cancers, is the inability of neuroimaging to accurately define the tumor burden. Specifically, gadolinium (Gd) enhancement reveals focal areas of malignant gliomas where the blood-brain barrier (BBB) is disrupted, but it does not show large high-risk areas of infiltrating tumor with a high cellularity. The recent breakthrough in the understanding of genetic features in gliomas, such as isocitrate dehydrogenase (IDH) mutations, has resulted in a prompt reappraisal of the molecular oncogenesis of this group of diseases. Notably, the most recent 2016 WHO classification of CNS tumors uses molecular parameters, in addition to histology, to define tumor entities. The 2016 CNS WHO represents an unmet radiographic need, namely, the identification of genetic biomarkers preoperatively, with non-invasive methods such as MRI. This project has been very successful during the 2nd funding period (9/13- 7/17) in developing an important protein-based molecular MRI technology, called amide proton transfer- weighted (APTw) imaging, into a sensitive, user-friendly, and reproducible approach for routine clinical use. Numerous early clinical data have demonstrated that APTw imaging adds important value to the standard clinical MRI sequences in brain cancer diagnosis. Compared to the contralateral normal-appearing brain tissue, the conspicuous, highly reproducible APTw hyperintensity can always be visualized in high-grade gliomas (including those without Gd enhancement). Thus, APTw imaging allowed accurate identification of high-grade regions within heterogeneous gliomas—a core need during neurosurgical procedures. Notably, we have recently found that the APTw signal could be a valuable imaging biomarker by which to identify IDH mutation status in low-grade gliomas. These early findings are very exciting. However, all currently used imaging protocols are essentially not quantitative, and the images obtained are often called APT-weighted images because of other contributions. The overall goals of this renewal application are to develop highly sensitive, fast, and quantitative APT-MRI methodologies on 3T clinical MRI scanners and to evaluate the potential of these methodologies in brain cancer molecular diagnosis. We have designed the following specific aims: (i) develop quantitative APT-MRI methodologies using compressed sensing at 3T; (ii) determine the capability of APT-MRI for the prediction of IDH mutation status in grade-II gliomas; and (iii) determine the accuracy of APT-MRI for the identification of high-risk regions of tumor outside Gd-enhancing masses in patients with glioblastomas. If successful, our results will significantly push, to a whole new level, the APT-MRI methodology research and clinical applications for brain tumors.

摘要

项目成果

期刊论文数量（16）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs.

DOI：
10.1109/tmi.2020.3046460
发表时间：
2021-10
期刊：
IEEE transactions on medical imaging
影响因子：
10.6
作者：
Guo P;Wang P;Yasarla R;Zhou J;Patel VM;Jiang S
通讯作者：
Jiang S

MoViT: Memorizing Vision Transformers for Medical Image Analysis.

MoViT：记忆用于医学图像分析的视觉变换器。

DOI：
10.1007/978-3-031-45676-3_21
发表时间：
2024
期刊：
Machine learning in medical imaging. MLMI (Workshop)
影响因子：
0
作者：
Shen,Yiqing;Guo,Pengfei;Wu,Jingpu;Huang,Qianqi;Le,Nhat;Zhou,Jinyuan;Jiang,Shanshan;Unberath,Mathias
通讯作者：
Unberath,Mathias

Differentiation of Malignant and Benign Head and Neck Tumors with Amide Proton Transfer-Weighted MR Imaging.

酰胺质子转移加权 MR 成像区分恶性和良性头颈肿瘤

DOI：
10.1007/s11307-018-1248-1
发表时间：
2019-04
期刊：
Molecular imaging and biology
影响因子：
3.1
作者：
Yu L;Li C;Luo X;Zhou J;Zhang C;Zhang Y;Chen M
通讯作者：
Chen M

Applications of chemical exchange saturation transfer magnetic resonance imaging in identifying genetic markers in gliomas.

DOI：
10.1002/nbm.4731
发表时间：
2023-06
期刊：
NMR in biomedicine
影响因子：
2.9
作者：
通讯作者：

Identifying Recurrent Malignant Glioma after Treatment Using Amide Proton Transfer-Weighted MR Imaging: A Validation Study with Image-Guided Stereotactic Biopsy.

DOI：
10.1158/1078-0432.ccr-18-1233
发表时间：
2019-01-15
期刊：
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子：
0
作者：
Jiang S;Eberhart CG;Lim M;Heo HY;Zhang Y;Blair L;Wen Z;Holdhoff M;Lin D;Huang P;Qin H;Quinones-Hinojosa A;Weingart JD;Barker PB;Pomper MG;Laterra J;van Zijl PCM;Blakeley JO;Zhou J
通讯作者：
Zhou J