Narrow linewidth MRS to detect breast cancer
Narrow linewidth MRS to detect breast cancer
批准号:
8907944
负责人:
GIGI GALIANA
金额:
$16.47万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2017-04-30
关键词:
Adipose tissueAnatomyAreaBenignBiochemicalBiometryBiopsyBreastCancer BiologyCancerousCareer ChoiceChemicalsClinicClinicalClinical SkillsCollaborationsCommunitiesDataData QualityDiagnosisDiagnosticDiseaseEducational workshopEthicsFatty acid glycerol estersFeasibility StudiesGoalsGoldHumanKnowledgeLesionLipidsLiverMagnetic ResonanceMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of brainMalignant neoplasm of prostateMammary Gland ParenchymaMammographyMeasurementMeasuresMentorsMentorshipMetabolicMethodsMolecular BiologyMotionMusNoiseObese MiceOrganPathologicPathologistPatient SchedulesPatientsPhysiologic pulsePhysiologicalResearchResearch PersonnelResearch TrainingResolutionRobin birdSignal TransductionSpecificityStomachStratificationStructureTechnical ExpertiseTechniquesTestingTextbooksTissuesTrainingTraining ProgramsUnited StatesWorkanticancer researchbasebreast cancer diagnosiscancer diagnosiscareerchemical standardclinical applicationclinical investigationcontrast enhancedexperienceimprovedin vivoinnovationinterestmagnetic fieldmalignant breast neoplasmmeetingsmortalityquantumradiologistresearch studyspectroscopic imagingtumortumor microenvironment
中文摘要
点击翻译按钮获取中文摘要
英文摘要
DESCRIPTION (provided by applicant): This research and training program will enable me to apply a new kind of magnetic resonance (MR) signal to get noninvasive chemical information about tumors, which could ultimately aid diagnosis and treatment decisions. The research aims outline the progression of two methods into clinically useful diagnostics.
A) A proven method that noninvasively measures the chemical composition of fat will be applied to improve the specificity of breast cancer diagnoses.
B) We will also develop a related MR method to noninvasively measure metabolites related to cancer, which will be applicable to a larger number of organs than current techniques
Because the lipid-specific method has been demonstrated in mice, our aims for that sequence focus on establishing the significance of that data. After initializing and optimizing the sequence our studies will validate the connection between our data, i.e., peaks in a spectrum, and the chemical composition of adipose tissue in obese mice. Next, human studies will measure the fat in breast tissue to determine whether fat surrounding MR-identified lesions correlates to malignancy or delineates the extent of disease. The proposal also presents a new method that can noninvasively measure chemical components in the body besides fat, including metabolites known to be important markers of cancer. Such measurements have become crucial for diagnosing brain and prostate cancer, but standard techniques yield poor quality data when applied to other organs. We will show that our method works in other organs, such as breast. Since my training is as an MR physicist, completing this work will also require significant amounts of biomedical training, which will be accomplished through a combination of class work, mentorship, and hands- on experience. There are four major training goals in this proposal. 1) Training in molecular biology and cancer biology will begin with a course in molecular biology followed by one in cancer biology. Courses will be supplemented by discussions with my co-mentors, renowned experts in cancer biology and tumor microenvironments, and attendance at national meetings on cancer research.
2) Training in advanced in vivo magnetic resonance techniques will include both formal coursework as well as hands-on training, which will be guided by Dr. Robin De Graaf, author of the leading textbook on the subject.
3) Training in human research studies and biostatistics will include semester long courses in biostatistics and in the ethics of clinical investigations, as well as an intensive workshop on clinical skills for researchers. Hands-on training will be under the guidance of my clinical collaborators, a breast radiologist and a cancer pathologist, both distinguished clinicians who boast extensive research accomplishments. 4) Scientific and career guidance to develop my independent career path are explicitly outlined in the proposal, including a structured mentoring plan and interaction with the broader scientific community.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Distinguishing Lipid Subtypes by Amplifying Contrast from J-Coupling.
通过放大 J 耦合对比度来区分脂质亚型。
DOI:
10.1038/s41598-019-39780-4
发表时间:
2019
期刊:
Scientific reports
影响因子:
4.6
作者:
[Uche,IfeanyiK, Galiana,Gigi]
通讯作者:
Galiana,Gigi
Inside-Out Nonlinear Gradients to Improve Diffusion MRI
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批准号:10311360
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项目类别:
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资助金额:$38.32万
-
财政年份:2021
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负责人:GIGI GALIANA
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依托单位:
Inside-Out Nonlinear Gradients to Improve Diffusion MRI
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批准号:10445300
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项目类别:
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资助金额:$37.55万
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财政年份:2021
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负责人:GIGI GALIANA
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依托单位:
Inside-Out Nonlinear Gradients to Improve Diffusion MRI
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批准号:10668965
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项目类别:
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资助金额:$37.55万
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财政年份:2021
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负责人:GIGI GALIANA
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依托单位:
Practical Nonlinear Gradient Encoding for Enhanced Accelerated Imaging
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批准号:9982310
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项目类别:
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资助金额:$37.69万
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财政年份:2017
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负责人:GIGI GALIANA
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依托单位:
Narrow linewidth MRS to detect breast cancer
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批准号:8537879
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项目类别:
-
资助金额:$16.47万
-
财政年份:2012
-
负责人:GIGI GALIANA
-
依托单位:
Narrow linewidth MRS to detect breast cancer
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批准号:8353007
-
项目类别:
-
资助金额:$16.47万
-
财政年份:2012
-
负责人:GIGI GALIANA
-
依托单位:
Narrow linewidth MRS to detect breast cancer
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批准号:8721893
-
项目类别:
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资助金额:$16.47万
-
财政年份:2012
-
负责人:GIGI GALIANA
-
依托单位:
Fast iZQC for High Resolution MRS In Vivo
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批准号:7277325
-
项目类别:
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资助金额:$4.42万
-
财政年份:2005
-
负责人:GIGI GALIANA
-
依托单位:
Fast iZQC for High Resolution MRS In Vivo
-
批准号:7065000
-
项目类别:
-
资助金额:$4.42万
-
财政年份:2005
-
负责人:GIGI GALIANA
-
依托单位:
Fast iZQC for High Resolution MRS In Vivo
-
批准号:7125955
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项目类别:
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资助金额:$4.42万
-
财政年份:2005
-
负责人:GIGI GALIANA
-
依托单位:
海外基金