Deep radiomic colon cleansing for laxative-free CT colonography
Deep radiomic colon cleansing for laxative-free CT colonography
批准号:
9297792
负责人:
Janne Johannes Nappi
金额:
$25.65万
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:
2017-07-05 至 2019-04-30
关键词:
AddressAdvisory CommitteesAirAreaBenefits and RisksCancer EtiologyCarcinomaCessation of lifeClinicalColonColon CarcinomaColonoscopyColorectalColorectal CancerComputed Tomographic ColonographyComputer AssistedConsensusContrast MediaDatabasesDehydrationDetectionDevelopmentDiagnosisDiarrheaDoseE-learningEarly DiagnosisExcisionFecesGoalsGuidelinesHeightHumanImageIngestionIntestinesIodineLearningLesionLow Dose RadiationMalignant NeoplasmsMedical SocietiesMedicareMethodsMorphologic artifactsMulti-Institutional Clinical TrialOpticsOralOsmolar ConcentrationPatientsPerformancePolypectomyPolypoid LesionPolypsPopulationPreparationProblem SolvingRadiationReaderRiskSafetySchemeSocietiesSourceThinnessUnited StatesWomanbasecompliance behaviorcomputer aided detectioncostimage processingimprovedlaxativelearning strategymenminimally invasivemortalitynovelolder patientpreventradiation riskradiologistradiomicsscreeningsoft tissuespectrographvirtual
中文摘要
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英文摘要
Project Summary/Abstract
Colon cancer, the second leading cause of cancer deaths for men and women in the United States, can be
prevented by early detection and removal of its precursor lesions. Computed tomographic colonography
(CTC), also known as virtual colonoscopy, could substantially increase the capacity, safety, and patient
compliance of colorectal examinations. However, an FDA panel has recently identified two remaining concerns
about CTC: patient adherence, and the detection of small polyps and flat lesions. Our clinical multi-center trial
showed that laxative-free preparation by oral ingestion of a contrast agent (iodine) to indicate fecal materials
for electronic cleansing (EC), followed by computer-aided detection (CADe), makes CTC easy to tolerate for
patients while enabling the detection of ≥10 mm lesions at sensitivity comparable to that of optical
colonoscopy. However, small polyps and flat lesions were a significant source of false negatives, because EC
produced image artifacts that imitated such lesions. Because laxative-free CTC addresses the concern of
patient adherence, the only remaining concern about CTC is the detection of small polyps and flat lesions. The
goal of this project is to develop a novel multi-material deep-learning scheme, hereafter denoted as Deep-
ECAD, that integrates EC and CADe for the detection of small polyps and flat lesions in laxative-free spectral
CTC (spCTC), where spectral imaging and deep learning will be used to overcome the above limitations of
conventional CTC. Our specific aims are to (1) establish a laxative-free ultra-low-dose spCTC image database,
(2) develop a multi-material deep-learning method for EC, (3) develop deep radiomic detection of small polyps
and flat lesions, and (4) evaluate the clinical benefit of Deep-ECAD with laxative-free cases. Successful
development of the proposed Deep-ECAD scheme will substantially improve human readers’ performance in
the detection of small polyps and flat lesions while minimizing the inconveniences of bowel preparation and
radiation risk to patients. Such a scheme will make laxative-free spCTC a highly accurate and acceptable
screening option for large populations, in particular, Medicare population, leading to an increased screening
rate, promoting early diagnosis of colon cancer, and ultimately reducing mortality due to colon cancer.
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会议论文
Deep-radiomics-learning for mass detection in CT colonography
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批准号:9167836
-
项目类别:
-
资助金额:$25.65万
-
财政年份:2016
-
负责人:Janne Johannes Nappi
-
依托单位:
Deep-radiomics-learning for mass detection in CT colonography
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批准号:9316607
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项目类别:
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资助金额:$21.38万
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财政年份:2016
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负责人:Janne Johannes Nappi
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依托单位:
Early diagnosis of colon cancer with computer-aided multi-energy CT colonography
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批准号:8804248
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项目类别:
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资助金额:$8.7万
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财政年份:2014
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负责人:Janne Johannes Nappi
-
依托单位:
Early diagnosis of colon cancer with computer-aided multi-energy CT colonography
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批准号:8621760
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项目类别:
-
资助金额:$8.7万
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财政年份:2014
-
负责人:Janne Johannes Nappi
-
依托单位:
In Vivo Detection of Flat Colorectal Neoplasms with CT Colonography
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批准号:7712639
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项目类别:
-
资助金额:$23.33万
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财政年份:2009
-
负责人:Janne Johannes Nappi
-
依托单位:
海外基金