Quantitative imaging tools to derive DW-MRI oncological biomarkers
Quantitative imaging tools to derive DW-MRI oncological biomarkers
批准号:
10186706
负责人:
AMITA DAVE
金额:
$62.0万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-07-01 至 2023-06-30
关键词:
3-DimensionalAcademic Medical CentersAddressBehaviorBiologicalBiological MarkersBlood VesselsCharacteristicsClinical TrialsCommunitiesCommunity NetworksComplexContrast MediaDataData AnalysesDerivation procedureDevelopmentDiffusionEvaluationExhibitsGoalsHead and Neck CancerHead and Neck NeoplasmsHead and Neck Squamous Cell CarcinomaHead and neck structureImageImaging DeviceInvestigational TherapiesLesionMagnetic Resonance ImagingMalignant NeoplasmsMeasuresMemorial Sloan-Kettering Cancer CenterMetastatic/RecurrentMethodologyMethodsMissionModelingMorphologic artifactsMotionNeoplasm MetastasisOncologistOncologyOutcomePatientsPatternPerformancePerfusionPhysiciansPredispositionPropertyProtocols documentationReportingReproducibilityResolutionSamplingSignal TransductionSiteSolid NeoplasmStandardizationSystemSystemic TherapyTechniquesTestingTherapeutic InterventionTimeTissuesTreatment EfficacyTumor BiologyTumor TissueValidationbasebiomarker performancecancer clinical trialclinical applicationclinical research sitedata modelingdesigndiffusion weightedhead and neck cancer patientimage processingimaging Segmentationimaging biomarkerimprovedindividual patientmagnetic resonance imaging biomarkernext generationnon-Gaussian modelnon-invasive imagingnovelpersonalized medicineprecision medicinepredictive modelingquantitative imagingresponsesegmentation algorithmstructural biologytargeted treatmentthyroid neoplasmtooltumortumor heterogeneityvolunteerwater diffusion
中文摘要
摘要:
我们建议开发、优化和验证新型DW-MRI采集和建模方法,
通过扩散峰度成像和非高斯成像解决非高斯水扩散和灌注效应,
高斯体素内非相干运动成像,并提供组织结构和
生物学此外,我们还将开发和实施先进的图像处理工具,以最大限度地提高生物成像质量。
来自由成像数据提供的肿瘤/组织的信息。我们及时提出的建议的精髓在于
作为第一个多中心,成像试验,以确定定量成像生物标志物作为早期反应,
治疗指标,根据NCI的中心使命询问肿瘤生物学
定量成像网络。它将解决临床试验中复发性/转移性
(R/M)头颈部癌症。本UO 1提案是对PAR-14-116和所概述的具体目标的回应
目标1:开发和标准化多b值缩减视场(rFOV)
DW-MRI采集方法和用于肿瘤学应用的非单指数建模DW-MRI;目标2:
开发和实施具有先进图像分割和图像特征的优化模型方法
HN地区R/M恶性肿瘤患者的肿瘤学应用分析;目标3:建立
下一代DW-MRI生物标志物作为实验性治疗中的早期治疗反应指标
使用R/M HN鳞状细胞癌(SCC)作为原理模型的证明。我们假设成像
从较新的方法得到的度量可以用作定量成像生物标志物,用于评估早期
在R/M HNSCC中的治疗功效。识别稳健、可靠和定量成像的原则
从DW-MRI和图像特征分析得到的生物标志物保持相似,并且这样的成像方案,
适当的改编,可以有更广泛的临床应用,包括它们在治疗其他实体肿瘤中的用途。
英文摘要
Abstract:
We propose to develop, optimize and validate novel DW-MRI acquisition and modeling methods, which
address non-Gaussian water diffusion and perfusion effects through diffusion kurtosis imaging and non-
Gaussian intravoxel incoherent motion imaging and provide more specific measures of tissue structure and
biology. Additionally, we will develop and implement advanced image processing tools to maximize the biologic
information from the tumor/tissue provided by the imaging data. The essence of our timely proposal lies in it
being the first multi-center, imaging trial to identify quantitative imaging biomarkers as early response to
therapy indicators, which interrogate tumor biology in accordance with the central mission of the NCI
Quantitative Imaging Network. It will address an urgent, unmet need in clinical trials for recurrent/metastatic
(R/M) head and neck cancers. This UO1 proposal is in response to PAR-14-116 and the specific aims outlined
in the proposal are as follows: Aim 1: To develop and standardize a multi b-value reduced field of view (rFOV)
DW-MRI acquisition method and non-mono exponential modeling DW-MRI for oncology applications; Aim 2:
To develop and implement optimal model methodology with advanced image segmentation and image feature
analysis in patients with R/M malignancies in the HN region for oncology applications; and Aim 3: To establish
the next generation DW-MRI biomarkers as early response to therapy indicators in experimental therapies
using R/M HN squamous cell carcinoma (SCC) as a proof of principle model. We hypothesize that imaging
metrics derived from newer methods can be used as quantitative imaging biomarkers for assessing early
therapeutic efficacy in R/M HNSCC. The principles of identifying robust, reliable and quantitative imaging
biomarkers derived from DW-MRI and image feature analysis remain similar and such imaging protocols, after
appropriate adaptation, can have a wider clinical application, including their use in treating other solid tumors.
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DOI:
10.3390/cancers15092573
发表时间:
2023-04-30
期刊:
CANCERS
影响因子:
5.2
作者:
[Paudyal, Ramesh, Shah, Akash D., Akin, Oguz, Do, Richard K. G., Konar, Amaresha Shridhar, Hatzoglou, Vaios, Mahmood, Usman, Lee, Nancy, Wong, Richard J., Banerjee, Suchandrima, Shin, Jaemin, Veeraraghavan, Harini, Shukla-Dave, Amita]
通讯作者:
Shukla-Dave, Amita
Test-retest repeatability of ADC in prostate using the multi b-Value VERDICT acquisition.
使用多B-Value判决获取的前列腺中ADC的测试重复性重复性。
DOI:
10.1016/j.ejrad.2023.110782
发表时间:
2023-05
期刊:
EUROPEAN JOURNAL OF RADIOLOGY
影响因子:
3.3
作者:
[Rogers, Harriet J., Singh, Saurabh, Barnes, Anna, Obuchowski, Nancy A., Margolis, Daniel J., Malyarenko, Dariya I., Chenevert, Thomas L., Shukla-Dave, Amita, Boss, Michael A., Punwani, Shonit]
通讯作者:
Punwani, Shonit
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study.
使用ISMRM/NIST MRI系统幻象源自磁共振指纹的定量成像指标:国际多中心可重复性和可重复性研究。
DOI:
10.1002/mp.14833
发表时间:
2021-05
期刊:
Medical physics
影响因子:
3.8
作者:
[]
通讯作者:
DOI:
10.3390/cancers14153624
发表时间:
2022-07-26
期刊:
CANCERS
影响因子:
5.2
作者:
[Konar, Amaresha Shridhar, Paudyal, Ramesh, Shah, Akash Deelip, Fung, Maggie, Banerjee, Suchandrima, Dave, Abhay, Lee, Nancy, Hatzoglou, Vaios, Shukla-Dave, Amita]
通讯作者:
Shukla-Dave, Amita
DOI:
10.1371/journal.pone.0252966
发表时间:
2021
期刊:
PloS one
影响因子:
3.7
作者:
[Keenan KE, Gimbutas Z, Dienstfrey A, Stupic KF, Boss MA, Russek SE, Chenevert TL, Prasad PV, Guo J, Reddick WE, Cecil KM, Shukla-Dave A, Aramburu Nunez D, Shridhar Konar A, Liu MZ, Jambawalikar SR, Schwartz LH, Zheng J, Hu P, Jackson EF]
通讯作者:
Jackson EF
共 7 条
Quantitative imaging tools to derive DW-MRI oncological biomarkers
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批准号:9219929
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项目类别:
-
资助金额:$71.73万
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财政年份:2017
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负责人:AMITA DAVE
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依托单位:
Predictive MRI metrics for tumor aggressiveness in micropapillary thyroid cancer
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批准号:8635084
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项目类别:
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资助金额:$36.87万
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财政年份:2014
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负责人:AMITA DAVE
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依托单位:
MR Dynamic Imaging and Spectroscopy in Head & Neck Cancers
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批准号:7802132
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项目类别:
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资助金额:$31.47万
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财政年份:2006
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负责人:AMITA DAVE
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依托单位:
MR Dynamic Imaging and Spectroscopy in Head & Neck Cancers
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批准号:7618454
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项目类别:
-
资助金额:$31.47万
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财政年份:2006
-
负责人:AMITA DAVE
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依托单位:
MR Dynamic Imaging and Spectroscopy in Head & Neck Cancers
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批准号:7416637
-
项目类别:
-
资助金额:$31.47万
-
财政年份:2006
-
负责人:AMITA DAVE
-
依托单位:
MR Dynamic Imaging and Spectroscopy in Head & Neck Cancers
-
批准号:7099070
-
项目类别:
-
资助金额:$32.7万
-
财政年份:2006
-
负责人:AMITA DAVE
-
依托单位:
MR Dynamic Imaging and Spectroscopy in Head & Neck Cancers
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批准号:7252503
-
项目类别:
-
资助金额:$31.47万
-
财政年份:2006
-
负责人:AMITA DAVE
-
依托单位:
海外基金