NCT00057252|Completed
Development of Computer-aided Detection and Diagnosis From Imaging Techniques
Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images
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Development and Evaluation of Techniques for Computer Aided Detection and Diagnosis From Radiologic Images
Sponsor study identifier
Secondary identifiers
observational
139,692
1 country
1
Study Start
March 20, 2003
Actual (reported)Primary Completion
October 2, 2020
Actual (reported)Study Completion
October 2, 2020
Actual (reported)This study will develop and evaluate new techniques for computer-aided detection and diagnosis (CAD) of medical problems using images from diagnostic tests such as computed tomography (CT), ultrasound, nuclear medicine and x-ray images. The Food and Drug Administration has approved CAD techniques for detecting masses and calcifications on mammography and lung nodules using chest x-rays. Many other applications of CAD would potentially benefit patients. This study will explore additional uses of CAD. The study will use imaging data, demographic information, and other medical information from the medical charts of Clinical Center patients to test and evaluate new CAD applications. Such applications include detection of subcutaneous (under the skin) lesions in melanoma patients, bone lesions in patients with advanced cancer, and pulmonary emboli (blood clot lodged in a lung artery) in patients who are known to have pulmonary emboli, and other uses.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
October 2, 2020
Actual (reported)Click on a node to explore related trials.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
March 20, 2003
Actual (reported)March 28, 2003
Actual (reported)July 13, 2006
Actual (reported)October 2, 2020
Actual (reported)October 2, 2020
Actual (reported)New computer-aided detection methods--algorithms
computer-aided detection methods
Various
Patients with medical imaging records
Patients with medical imaging records
Contact the study team to confirm eligibility.
National Institutes of Health Clinical Center, 9000 Rockville Pike
Bethesda, Maryland, 20892, United States
Liu J, Wang S, Linguraru MG, Yao J, Summers RM. Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT. Med Image Anal. 2014 Jul;18(5):725-39. doi: 10.1016/j.media.2014.04.001. Epub 2014 Apr 18.
Zhang W, Liu J, Yao J, Louie A, Nguyen TB, Wank S, Nowinski WL, Summers RM. Mesenteric vasculature-guided small bowel segmentation on 3-D CT. IEEE Trans Med Imaging. 2013 Nov;32(11):2006-21. doi: 10.1109/TMI.2013.2271487. Epub 2013 Jun 27.
Ronald M Summers, M.D.
National Institutes of Health Clinical Center (CC)
139,692 participants (actual enrollment reported by the registry).
First Submitted
July 13, 2006
First Posted
March 28, 2003
Study Start
March 20, 2003
Actual (reported)Chemical and Genetic Effects of the Experimental Anti-Cancer Drugs in Cheek Cells in Cancer Patients
Burns JE, Yao J, Wiese TS, Munoz HE, Jones EC, Summers RM. Automated detection of sclerotic metastases in the thoracolumbar spine at CT. Radiology. 2013 Jul;268(1):69-78. doi: 10.1148/radiol.13121351. Epub 2013 Feb 28.
Primary Completion
October 2, 2020
Actual (reported)Study Completion
October 2, 2020
Actual (reported)Last Updated
January 22, 2021
Record last verified: 2021-01
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Source: ClinicalTrials.gov.
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