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AHRQ Research Studies Date
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- Cancer (2)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedChang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH
A method to recognize anatomical site and image acquisition view in x-ray images.
A method was developed to recognize anatomical site and image acquisition view automatically in 2D X-ray images that are used in image-guided radiation therapy. The purpose was to enable site and view dependent automation and optimization in the image processing tasks including 2D-2D image registration, 2D image contrast enhancement, and independent treatment site confirmation.
AHRQ-funded; HS022888.
Citation: Chang X, Mazur T, Li HH, Yang D. X, Mazur T, Li HH .
A method to recognize anatomical site and image acquisition view in x-ray images.
J Digit Imaging 2017 Dec;30(6):751-60. doi: 10.1007/s10278-017-9981-6..
Keywords: Diagnostic Safety and Quality, Imaging, Patient Safety
Yang D, Zhang M, Chang X
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
An image processing procedure was developed in this study to detect large quantity of landmark pairs accurately in pairs of volumetric medical images. The procedure allows a semi-automatic way to generate the ground truth landmark datasets that allow quantitatively evaluation of deformable image registration algorithms for radiation therapy applications.
AHRQ-funded; HS022888.
Citation: Yang D, Zhang M, Chang X .
A method to detect landmark pairs accurately between intra-patient volumetric medical images.
Med Phys 2017 Nov;44(11):5859-72. doi: 10.1002/mp.12526..
Keywords: Imaging, Patient Safety, Diagnostic Safety and Quality
Qiu J, Harold Li H, Zhang T
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
Insufficient image contrast associated with radiation therapy daily setup x-ray images could negatively affect accurate patient treatment setup. The study authors developed a method to perform automatic and user-independent contrast enhancement on 2D kilo voltage (kV) and megavoltage (MV) x-ray images. The study concluded that the proposed method is able to outperform the standard image contrast adjustment procedures that are currently used in the commercial clinical systems.
AHRQ-funded; HS022888.
Citation: Qiu J, Harold Li H, Zhang T .
Automatic x-ray image contrast enhancement based on parameter auto-optimization.
J Appl Clin Med Phys 2017 Nov;18(6):218-23. doi: 10.1002/acm2.12172..
Keywords: Diagnostic Safety and Quality, Quality of Care, Imaging, Patient Safety
Chandakkar PS, Venkatesan R, Li B
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images.
Computer-aided diagnosis has the potential of improving diabetic retinopathy (DR) screening or diagnosis. The researchers developed a feature space of a modified color correlogram appended with statistics of steerable Gaussian filter responses selected by fast radial symmetric transform points. Experiments with real DR images collected from five different datasets demonstrate that the proposed approach is able to outperform existing methods.
AHRQ-funded; HS019792.
Citation: Chandakkar PS, Venkatesan R, Li B .
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images.
J Med Imaging 2017 Jul;4(3):034003. doi: 10.1117/1.jmi.4.3.034003.
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Keywords: Diabetes, Imaging, Eye Disease and Health, Health Information Technology (HIT), Diagnostic Safety and Quality
Gillespie EF, Panjwani N, Golden DW
Multi-institutional randomized trial testing the utility of an interactive three-dimensional contouring atlas among radiation oncology residents.
The present study reports on the efficacy and usability of a web-based contouring atlas compared with those of existing contouring resources in a randomized trial. Compared with the residents using currently available resources, the residents using eContour had improved contour agreement with both the consensus and the expert contours for the high-risk clinical target volume and greater agreement with the expert contour for the contralateral parotid gland.
AHRQ-funded; HS024321.
Citation: Gillespie EF, Panjwani N, Golden DW .
Multi-institutional randomized trial testing the utility of an interactive three-dimensional contouring atlas among radiation oncology residents.
Int J Radiat Oncol Biol Phys 2017 Jul 1;98(3):547-54. doi: 10.1016/j.ijrobp.2016.11.050.
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Keywords: Cancer, Diagnostic Safety and Quality, Education: Continuing Medical Education, Imaging, Web-Based
Fu Y, Liu S, Li H
Automatic and hierarchical segmentation of the human skeleton in CT images.
In this study, a novel and automatic method is proposed to segment all the major individual bones of the human skeleton above the upper legs in CT images based on an articulated skeleton atlas. The reported method is capable of automatically segmenting 62 major bones, including 24 vertebrae and 24 ribs, by traversing a hierarchical anatomical tree and by using both rigid and deformable image registration.
AHRQ-funded; HS022888.
Citation: Fu Y, Liu S, Li H .
Automatic and hierarchical segmentation of the human skeleton in CT images.
Phys Med Biol 2017 Apr 7;62(7):2812-33. doi: 10.1088/1361-6560/aa6055.
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Keywords: Diagnostic Safety and Quality, Imaging
Dabbous FM, Dolecek TA, Berbaum ML
Impact of a false-positive screening mammogram on subsequent screening behavior and stage at breast cancer diagnosis.
Researchers sought to examine the impact of a false positive (FP) screening mammogram on the subsequent screening mammography behavior. They found that experiencing a FP mammogram increases the risk of late stage at diagnosis compared with prior true negative (TN) mammogram Also, women with a FP mammogram were more likely to delay their subsequent screening compared with women with a TN mammogram.
AHRQ-funded; HS018366.
Citation: Dabbous FM, Dolecek TA, Berbaum ML .
Impact of a false-positive screening mammogram on subsequent screening behavior and stage at breast cancer diagnosis.
Cancer Epidemiol Biomarkers Prev 2017 Mar;26(3):397-403. doi: 10.1158/1055-9965.epi-16-0524.
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Keywords: Cancer: Breast Cancer, Cancer, Imaging, Screening, Diagnostic Safety and Quality, Women, Prevention