A Sparse-readout Quantitative PET scanner for breast cancer therapy optimization
A Sparse-readout Quantitative PET scanner for breast cancer therapy optimization
批准号:
9256313
负责人:
William Coulis Jason Hunter
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-29 至 2018-09-28
关键词:
AdjuvantAdverse effectsAlgorithmsAntineoplastic AgentsArchitectureBreastBreast Cancer PatientBreast Cancer therapyCaliberCalibrationCessation of lifeClinicalDataDevelopmentDiagnosisDiseaseDoseEffectivenessElectronicsEvaluationExcisionFDA approvedGoalsHealth Care CostsImageImaging PhantomsLaboratoriesLesionLettersLinkLocationMalignant NeoplasmsMammary NeoplasmsMeasuresMethodsModelingMolecularNeoadjuvant TherapyNormal Statistical DistributionOperative Surgical ProceduresOutcomePatient CarePatient-Focused OutcomesPatientsPerformancePharmaceutical PreparationsPhasePhenotypePhotonsPhysiciansPlatelet Factor 4Positron-Emission TomographyProcessRadiology SpecialtyRegimenRelapseResolutionSelection for TreatmentsSideSignal TransductionSiliconSourceSpeedStructureSystemTestingThickThree-Dimensional ImagingTimeTreatment EfficacyVariantWeightWomanattenuationbasebreast imagingclinical applicationcommercializationcostdeep field surveydesigndesign and constructiondetectoreffective therapyimage reconstructionimaging systemimprovedimproved outcomeindividual patientineffective therapiesinnovationmalignant breast neoplasmmolecular imagingnoveloncologyphotomultiplierprototypequantitative imagingradiotracerresponsesensorsimulationsuccesstargeted treatmenttreatment responsetumoruptake
中文摘要
本项目的目标是开发一种定量分子乳腺成像PET(QMBI-PET)。
扫描仪改进乳腺癌治疗与个别患者匹配的方式
通过在诊断之间的机会窗口期间提供治疗效果的评估
以及手术切除。美国超过25万名患有侵袭性疾病的女性开始接受治疗
每年都有乳腺癌的治疗。2016年,大约有4万人死于乳腺癌。
不幸的是,尽管靶向治疗取得了成功,但患者的复发率
表达靶点并接受这些疗法肯定仍接近50%
表型。这些药物可能非常昂贵,而且会产生毒副作用。目前有68家
FDA批准了乳腺癌药物,这是所有癌症中最多的。
宠物拥有巨大的希望来改进治疗选择,从而使患者最终免于
无效的药物,并更快地将他们引导到有效的方案,从而改善患者
结果,并通过更有效的治疗选择过程降低成本。然而,所有的
到目前为止,使用正电子发射计算机断层扫描评估治疗反应的研究仅限于定量
临床全身PET扫描仪的准确性
紧凑、低成本、高分辨率和定量准确的PET成像扫描仪将
帮助医生为乳腺癌患者选择有效的治疗方法。早些时候
对治疗效果的评估将有助于治疗医生对患者的个体化
治疗:在新辅助治疗的环境下或在诊断和治疗之间的机会之窗
手术后,将拍摄基线(治疗前)PET图像,然后,在短时间的
对于靶向治疗,将使用第二次正电子发射计算机断层扫描来评估治疗反应。这将是
用于指导术后治疗的选择性和侵袭性。
要使这种治疗模式被广泛接受和广泛使用,最低限度的可行
商用扫描仪需要更高的分辨率、更紧凑、更便宜
标准全身PET扫描仪。此外,还需要高水平的定量准确性。
我们提出了一种高分辨率定量分子乳腺成像PET(QMBI-PET)扫描仪,
它使用先进的探测器架构和基于统计的3D成像来获取
高灵敏度、高分辨率的图像。这一阶段申请的结果将是
功能实验室测试的单环原型扫描仪,具有临床可行性的初步数据
为这一开发的下一个阶段的商业化提供证据。
英文摘要
The goal of this project is to develop a quantitative molecular breast imaging PET (QMBI-PET)
scanner to improve the way in which breast cancer therapies are matched to individual patients
by providing evaluation of therapy efficacy during the window of opportunity between diagnosis
and surgical resection. More than 250,000 women in the US with invasive disease start therapy
for breast cancer each year. In 2016 approximately 40,000 deaths will result from breast cancer.
Unfortunately, despite the successes of targeted therapies, the relapse rate in patients
expressing the targets and receiving these therapies still approaches 50% for certain
phenotypes. The drugs can be very costly, and carry toxic side effects. There are currently 68
FDA approved breast cancer drugs, the most of any cancer.
PET holds great promise to improve therapy selection, thereby sparing patients from ultimately
ineffective drugs and directing them more quickly to effective regimens, thus improving patient
outcomes, and reducing costs via a more efficient therapy selection process. However, all of the
studies thus far using PET to assess therapy response have been limited to the quantitative
accuracy of clinical whole-body PET scanners
A compact, lower-cost, high resolution, and quantitatively accurate PET imaging scanner will
help inform the physician's choices of effective therapies for breast cancer patients. Early
evaluation of a therapy's effectiveness will help the treating physician individualize a patient's
treatment: In the neo-adjuvant setting or the window of opportunity between diagnosis and
surgery, a baseline (pre-treatment) PET image will be taken, then, after a short regimen of a
targeted therapy, a second PET scan will be used to evaluate response to treatment. This will
be used to guide selection and aggressiveness of post-surgery therapy.
For this treatment paradigm to become broadly accepted and widely used, the minimum viable
commercial scanner needs to be higher resolution, more compact, and less expensive than
standard whole-body PET scanners. In addition a high level of quantitative accuracy is needed.
We propose a high-resolution quantitative molecular breast imaging PET (QMBI-PET) scanner,
which uses a an advanced detector architecture and statistical-based 3D imaging to acquire
high-sensitivity, high-resolution images. The outcome of this Phase-I application will be a
functional laboratory tested single-ring prototype scanner, with initial data on clinical feasibility to
provide evidence for commercialization in the following phase of this development.
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A Sparse-readout Quantitative PET scanner for breast cancer therapy optimization
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批准号:10080314
-
项目类别:
-
资助金额:$123.11万
-
财政年份:2016
-
负责人:William Coulis Jason Hunter
-
依托单位:
A Sparse-readout Quantitative PET scanner for breast cancer therapy optimization
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批准号:10260645
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项目类别:
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资助金额:$73.63万
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财政年份:2016
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负责人:William Coulis Jason Hunter
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依托单位:
Quantitative dual-mode scanner for breast cancer therapy
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批准号:8908973
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项目类别:
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资助金额:$2.49万
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财政年份:2013
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负责人:William Coulis Jason Hunter
-
依托单位:
Quantitative dual-mode scanner for breast cancer therapy
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批准号:8840435
-
项目类别:
-
资助金额:$10.65万
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财政年份:2013
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负责人:William Coulis Jason Hunter
-
依托单位:
Quantitative dual-mode scanner for breast cancer therapy
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批准号:8590731
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项目类别:
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资助金额:$27.51万
-
财政年份:2013
-
负责人:William Coulis Jason Hunter
-
依托单位:
海外基金