Advancing Photoacoustic Tomography in breast imaging to predict response in breast cancers treated with neoadjuvant therapy
推进乳腺成像中的光声断层扫描以预测新辅助治疗乳腺癌的反应
基本信息
- 批准号:10715163
- 负责人:
- 金额:$ 64.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-07-03 至 2028-06-30
- 项目状态:未结题
- 来源:
- 关键词:3-DimensionalAcousticsAddressAlgorithmsAnatomyAnxietyArteriesBiopsyBlood VesselsBrainBrain imagingBreastBreast Cancer DetectionBreast Cancer PatientBreast Cancer TreatmentBreast Cancer therapyBreast conservationCalibrationCancer BurdenCitiesClinicalContrast MediaDataDetectionDiagnosticDimensionsDiscriminationElasticityEmerging TechnologiesEngineeringEvaluationFeasibility StudiesFrequenciesFunctional ImagingHeavy MetalsHemoglobinHumanImageImaging TechniquesImaging problemImaging technologyIntravenousIonizing radiationLightLiliumMagnetic Resonance ImagingMalignant NeoplasmsMeasurementMetabolicMethodsModelingMorphologic artifactsMorphologyMotionNeoadjuvant TherapyOperative Surgical ProceduresOpticsOutcomeOxygenPathologyPatientsPerformancePhysiciansPrognosisResectedResolutionResourcesSamplingScientistSideSignal TransductionSpecimenSpeedSurgical PathologySystemTechnologyTestingThree-Dimensional ImagingTimeTissuesTrainingTumor VolumeUltrasonographyX-Ray Computed Tomographyanatomic imagingbreast imagingcontrast enhancedcostcost effectivedensitydesigndiffuse optical spectroscopy and imagingexceptional respondersexperienceimaging modalityimaging systemimprovedimproved outcomeinnovationmalignant breast neoplasmmodel buildingnew technologynon-invasive imagingoptoacoustic tomographypatient orientedperformance testspersonalized cancer therapyphotoacoustic imagingprecision medicinepredicting responseprognosticprospectiveprototyperesearch clinical testingrespiratoryresponsestandard of caresuccesstomographytreatment planningtreatment responsetumor
项目摘要
PROJECT SUMMARY/ABSTRACT
Objective: We will develop an advanced photoacoustic computed tomography (PACT) breast imaging system
capable of detecting anatomical and functional changes in breast cancer treated with neoadjuvant therapy
(NAT).
Significance: NAT improves outcomes in breast cancer patients by increasing the likelihood of breast
conservation, providing important prognostic information, and enabling adaptive therapy such as change in
systemic treatment and de-escalation of surgery in exceptional responders. As such, identification of
responders enables personalized cancer treatment.
Challenges: Current breast imaging does not sufficiently detect breast cancer treatment response. Standard
of care (SOC) breast imaging technology either assesses anatomical details or metabolic function, not both. In
addition, ionizing radiation, exogenous contrast agents, and patient perceived discomfort and inconvenience
usually restrict imaging frequency required for timely evaluation of response. For example, although dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) is considered the SOC in breast imaging, this test
is limited by the need for intravenous heavy metal contrast, duration of study, patient discomfort, and high
resource costs while delivering only moderate accuracy in detection of NAT response. As such, there
is
no
reliable,non-invasive, cost-effective imaging method to identify treatment response.PACT is an emerging
technology with great potential to address these problems by imaging both function and anatomy without
exogenous contrast.
Solutions: Capitalizing on our experience and success in building two PACT breast imaging systems, we
propose the construction and clinical testing of an innovative PACT imaging system that integrates the two
previous systems to enable both anatomical and functional imaging. The Dual Mode PACT (DM-PACT) will
combine dual-sided light delivery, large-view detection aperture, and dense acoustic sampling for rapid
functional and high-resolution anatomical imaging to assess treatment-related responses in breast cancer. The
imaging features generated by the DM-PACT will be first characterized and correlated with the
histopathological results of the resected breast cancer specimens from patients treated with NAT. A diagnostic
model using the imaging features will be trained and tested in a larger group of breast cancer patients treated
with NAT. We will compare the performance of DM-PACT with the performance of SOC DCE-MRI in treatment
response discrimination. The success of this project will result in imaging technology that directs response-
driven, personalized breast cancer treatment plans.
项目摘要/摘要
目的:我们将开发高级光声计算机断层扫描(PACT)乳房成像系统
能够检测新辅助治疗治疗的乳腺癌的解剖和功能变化
(nat)。
意义:NAT通过增加乳房的可能性来改善乳腺癌患者的结局
保护,提供重要的预后信息,并实现适应性疗法,例如改变
特殊响应者中的全身治疗和降级手术。因此,识别
响应者可以实现个性化的癌症治疗。
挑战:当前的乳房成像不能充分检测到乳腺癌的治疗反应。标准
护理(SOC)乳房成像技术要么评估解剖学细节或代谢功能,而不是两者兼而有之。在
另外,电离辐射,外源对比剂以及患者认为不适和不便
通常限制及时评估响应所需的成像频率。例如,虽然动态
对比增强的磁共振成像(DCE-MRI)被认为是乳房成像中的SOC,该测试
受静脉注重金属对比,研究持续时间,患者不适和高度的需要的限制
资源成本在仅提供适度的NAT响应中准确性的同时。这样,那里
是
不
可靠的,无创的,具有成本效益的成像方法来识别治疗反应。
通过对功能和解剖结构进行成像而无需成像,具有很大潜力的技术
外源对比度。
解决方案:利用我们的经验和成功建立两个协议乳房成像系统的成功,我们
提出了整合两者的创新条约成像系统的构建和临床测试
以前的系统可以使解剖成像和功能成像。双模式契约(DM PACT)将
结合双面光输送,大视图检测光圈和密集的声学采样
功能性和高分辨率解剖成像,以评估乳腺癌中与治疗相关的反应。这
DM-PACT产生的成像功能将首先进行表征和关联
切除的乳腺癌标本的组织病理学结果来自接受NAT治疗的患者。诊断
使用成像功能的模型将在接受治疗的较大的乳腺癌患者中训练和测试
与纳特。我们将比较DM-PACT的性能与SOC DCE-MRI在治疗中的表现
响应歧视。该项目的成功将导致成像技术指导响应 -
驱动的个性化乳腺癌治疗计划。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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LILY LAU LAI其他文献
LILY LAU LAI的其他文献
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- 批准号:
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- 资助金额:
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