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.
项目概要/摘要
目标:我们将开发先进的光声计算机断层扫描(PACT)乳腺成像系统
能够检测新辅助治疗乳腺癌的解剖和功能变化
(网络地址转换)。
意义:NAT 通过增加乳腺癌发生的可能性来改善乳腺癌患者的预后
保护,提供重要的预后信息,并实现适应性治疗,例如改变
对特殊反应者进行系统治疗和降级手术。因此,识别
响应者能够实现个性化的癌症治疗。
挑战:当前的乳腺成像无法充分检测乳腺癌治疗反应。标准
护理 (SOC) 乳腺成像技术要么评估解剖细节,要么评估代谢功能,但不能同时评估两者。在
此外,电离辐射、外源性造影剂以及患者感知的不适和不便
通常会限制及时评估反应所需的成像频率。例如,虽然动态
对比增强磁共振成像 (DCE-MRI) 被认为是乳腺成像中的 SOC,该测试
受到静脉重金属造影剂需求、研究持续时间、患者不适和高浓度的限制
资源成本,同时在 NAT 响应检测方面仅提供中等准确度。因此,有
是
不
可靠、非侵入性、经济有效的成像方法来确定治疗反应。PACT 是一种新兴的
技术具有巨大的潜力,可以通过对功能和解剖结构进行成像来解决这些问题,而无需
外源对比。
解决方案:利用我们在构建两个 PACT 乳腺成像系统方面的经验和成功,我们
提出构建和临床测试集成两者的创新 PACT 成像系统
以前的系统可以实现解剖和功能成像。双模式 PACT (DM-PACT) 将
结合双面光传输、大视野检测孔径和密集声学采样,可实现快速
功能和高分辨率解剖成像,用于评估乳腺癌治疗相关的反应。这
DM-PACT 生成的成像特征将首先被表征并与
接受 NAT 治疗的患者切除的乳腺癌标本的组织病理学结果。诊断
使用成像特征的模型将在更大的接受治疗的乳腺癌患者群体中进行训练和测试
与 NAT。我们将在治疗中比较 DM-PACT 的性能与 SOC DCE-MRI 的性能
反应歧视。该项目的成功将带来指导响应的成像技术
驱动的、个性化的乳腺癌治疗计划。
项目成果
期刊论文数量(0)
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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
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- 批准号:
7368177 - 财政年份:2005
- 资助金额:
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