grant

Next-Generation Tomosynthesis Pilot Study

Organization UNIVERSITY OF PENNSYLVANIALocation PHILADELPHIA, UNITED STATESPosted 17 Aug 2022Deadline 30 Jun 2026
NIHUS FederalResearch GrantFY20253-D3-D analysis3-Dimensional3-dimensional analysis3D3D analysisAbbreviationsActive Follow-upAdipose tissueAnisotropyAnteriorAnxietyArtifactsBenignBiopsyBody TissuesBreastBreast Cancer DetectionBreast cancer screeningBreast screeningCAT scanCT X RayCT XrayCT imagingCT scanCalcifiedCallbackCancerousCancersCaringCell Communication and SignalingCell SignalingCephalicChest WallChest wall structureClinicalClinical DataClinical TrialsComputed TomographyConeCranialDataDedicationsDiagnosisDiagnostic ImagingDigital Breast TomosynthesisElectromagnetic EnergyElectromagnetic RadiationElectromagnetic WavesEntropyFatty TissueGenerationsGrantHealth Care CostsHealth CostsHigh Risk WomanHumanImageImage AnalysesImage AnalysisImaging technologyIntracellular Communication and SignalingLaplacianLawsLeftLocalized LesionMR ImagingMR TomographyMRIMRIsMagnetic Resonance ImagingMalignantMalignant - descriptorMalignant NeoplasmsMalignant TumorMammectomyMammographic screeningMastectomyMeasuresMedicalMedical Imaging, Magnetic Resonance / Nuclear Magnetic ResonanceMemoryMethodsModelingModern ManMorphologic artifactsMotionNMR ImagingNMR TomographyNoiseNuclear Magnetic Resonance ImagingParticipantPerformancePilot ProjectsProbabilityROC AnalysesROC CurveRadiation DoseRadiation Dose UnitRadiation exposureRandomizedReaderReadingReceiver Operating CharacteristicsReceiver Operator CharacteristicsResearchResearch SpecimenResolutionScanningScheduleShapesSideSignal TransductionSignal Transduction SystemsSignalingSpecificitySpecimenStressStructureSystemSystems DevelopmentTextureThoracic WallThree-dimensional analysisTimeTissuesTomodensitometryTotal RadiationTranslationsWomanX-Ray CAT ScanX-Ray Computed TomographyX-Ray Computerized TomographyXray CAT scanXray Computed TomographyXray computerized tomographyZeugmatographyactive followupadiposeat-risk femalesat-risk womenbiological signal transductionbreast densitybreast imagingcalcificationcatscancomputed axial tomographycomputer tomographycomputerized axial tomographycomputerized tomographydensitydesigndesigningexperiencefemales at high riskfollow upfollow-upfollowed upfollowuphigh risk femaleshuman subjectimage evaluationimage interpretationimagingimprovedinfancyinfantilelaplace operatormalignancymammary cancer detectionmammary imagingmammary screeningmammography screeningneoplasm/cancernext generationnon-contrast CTnoncontrast CTnoncontrast computed tomographypilot studyradiologistrandomisationrandomizationrandomly assignedreceiver operating characteristic analysesreceiver operating characteristic curvereconstructionrecruitresolutionsresponsescreeningscreeningssuper high resolutionsuperresolutionthree dimensionaltomosynthesistranslationtrendtumorultra high resolutionvolunteerwhite adipose tissuewomen at high riskyellow adipose tissue
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Full Description

PROJECT SUMMARY
Even with the latest digital breast tomosynthesis (DBT) systems, breast cancer screening continues to suffer

from poor specificity. Only about 5% of women called-back from screening are ultimately found to have a biopsy-

proven cancer. Clinical DBT systems suffer from anisotropies in image quality since the scanning motion is

restricted to one direction (left-to-right). We built a next-generation tomosynthesis (NGT) system that is capable

of scanning in the shape of a “T”. With phantoms and mastectomy specimens, we have shown that this design

mitigates cone-beam artifacts, tissue superposition effects, and anisotropies in super-resolution. As the next step

in our research, we will perform a pilot study with volunteers, recruiting women referred for diagnostic imaging

or biopsy as well as women having abbreviated magnetic resonance imaging (MRI). Projection images will be

acquired in such a way that we can generate reconstructions from two scanning methods (conventional and T).

Each scanning method will be analyzed separately by radiologists in different reading sessions. We will mitigate

potential concerns about radiation exposure by restricting the study to one view (cranial-caudal) instead of two

views. We have put together a team with a unique set of strengths, including the developers of the NGT system,

three radiologists, two statisticians, and experts in density and texture analysis. This proposal is divided into two

specific aims. (Aim 1): Assess radiologists' performance in a pilot study of the NGT system with volunteers. We

will investigate whether the T scan brings down the call-back rate of screening without reducing sensitivity.

Radiologists will also rate the overall probability of malignancy, and these scores will be analyzed in combination

with clinical follow-up data to show that radiologists' ability to characterize findings is improved with the T scan,

specifically by using jackknife alternative free-response receiver operating characteristic (JAFROC) methods.

(Aim 2): Perform quantitative analysis of the 3D breast outline segmentation, texture, and density. With breast

phantoms, we have previously shown that the breast volume is overestimated in the conventional scan and is

calculated more accurately in the T scan. We aim to show that the same result holds in human subjects by

calculating volume differences between the two scanning methods. Additionally, we will analyze power-law noise

and higher-order non-Gaussian texture measures as surrogate metrics of detectability and tissue superposition

effects, which we expect to be improved by the T scan. Finally, we will analyze whether percent density

calculations differ between the two scanning methods since we expect fewer out-of-plane artifacts in the T scan.

Although the new method of scanning is not being used as part of the volunteers' medical care, the overall impact

of this study is to demonstrate improvements in specificity and thus the potential to minimize the number of

diagnostic imaging exams and biopsies, lower healthcare costs, and minimize the total radiation dose combining

screening and diagnostic imaging. Women with dense breasts will especially benefit from this new design since

dense tissue can obscure findings in a conventional DBT scan, making them harder to characterize.

Grant Number: 5R37CA273959-04
NIH Institute/Center: NIH

Principal Investigator: Raymond Acciavatti

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