BACKGROUND: Previous studies of multidetector CT (MDCT) of the lower extremities for the detection of peripheral vascular disease showed high diagnostic accuracy but were performed with older generation systems. OBJECTIVE: The purpose of this study was to evaluate the diagnostic accuracy of 64 MDCT for the detection of hemodynamically significant disease within the lower extremity peripheral vasculature as compared to digital subtraction angiography (DSA). METHODS: Twenty-eight consecutive patients with symptomatic lower extremity intermittent claudication and an abnormal ankle-brachial index (ABI; less than 0.9) were evaluated by both 64 MDCT and DSA. Axial images were acquired with a 64 multidetector general electric light speed VCT scanner. Images were analyzed using a GE Advantage workstation (AW 4.3) capable of advanced image processing and manipulation. The aorto-iliac and lower extremity arteries were divided into 15 segments per limb (30 segments per patient). Eight hundred forty segments were analyzed in a blinded fashion by physicians with level III CT certification. Segments were classified as grade I (<10% stenosis), grade II (10-49%), grade III (50-99%), and grade IV (occlusion). RESULTS: For all segments evaluated, the overall diagnostic accuracy for detecting grade III and IV lesions was 98% with a sensitivity of 99% and a specificity of 98%. For the aorto-iliac segments, the diagnostic accuracy was 98% with a sensitivity of 100% and a specificity of 99%. For the femoro-popliteal segments, the overall accuracy was 98% with a sensitivity of 100% and a specificity of 99%. For the infra-popliteal segments, the overall accuracy was 98% with a sensitivity of 97% and a specificity of 99%. One segment could not be visualized by MDCT compared to 49 segments that could not be visualized by DSA. CONCLUSIONS: This study demonstrates excellent diagnostic accuracy of 64 MDCT in the detection of hemodynamically significant disease of the lower extremities. More segments are visualized using 64 MDCT than DSA, allowing more complete visualization of the vascular tree. CT angiography should be considered in the diagnostic evaluation of symptomatic patients with peripheral vascular disease. Copyright 2009 Wiley-Liss, Inc.
BACKGROUND: Previous studies of multidetector CT (MDCT) of the lower extremities for the detection of peripheral vascular disease showed high diagnostic accuracy but were performed with older generation systems. OBJECTIVE: The purpose of this study was to evaluate the diagnostic accuracy of 64 MDCT for the detection of hemodynamically significant disease within the lower extremity peripheral vasculature as compared to digital subtraction angiography (DSA). METHODS: Twenty-eight consecutive patients with symptomatic lower extremity intermittent claudication and an abnormal ankle-brachial index (ABI; less than 0.9) were evaluated by both 64 MDCT and DSA. Axial images were acquired with a 64 multidetector general electric light speed VCT scanner. Images were analyzed using a GE Advantage workstation (AW 4.3) capable of advanced image processing and manipulation. The aorto-iliac and lower extremity arteries were divided into 15 segments per limb (30 segments per patient). Eight hundred forty segments were analyzed in a blinded fashion by physicians with level III CT certification. Segments were classified as grade I (<10% stenosis), grade II (10-49%), grade III (50-99%), and grade IV (occlusion). RESULTS: For all segments evaluated, the overall diagnostic accuracy for detecting grade III and IV lesions was 98% with a sensitivity of 99% and a specificity of 98%. For the aorto-iliac segments, the diagnostic accuracy was 98% with a sensitivity of 100% and a specificity of 99%. For the femoro-popliteal segments, the overall accuracy was 98% with a sensitivity of 100% and a specificity of 99%. For the infra-popliteal segments, the overall accuracy was 98% with a sensitivity of 97% and a specificity of 99%. One segment could not be visualized by MDCT compared to 49 segments that could not be visualized by DSA. CONCLUSIONS: This study demonstrates excellent diagnostic accuracy of 64 MDCT in the detection of hemodynamically significant disease of the lower extremities. More segments are visualized using 64 MDCT than DSA, allowing more complete visualization of the vascular tree. CT angiography should be considered in the diagnostic evaluation of symptomatic patients with peripheral vascular disease. Copyright 2009 Wiley-Liss, Inc.
Authors: Marie D Gerhard-Herman; Heather L Gornik; Coletta Barrett; Neal R Barshes; Matthew A Corriere; Douglas E Drachman; Lee A Fleisher; Francis Gerry R Fowkes; Naomi M Hamburg; Scott Kinlay; Robert Lookstein; Sanjay Misra; Leila Mureebe; Jeffrey W Olin; Rajan A G Patel; Judith G Regensteiner; Andres Schanzer; Mehdi H Shishehbor; Kerry J Stewart; Diane Treat-Jacobson; M Eileen Walsh Journal: Circulation Date: 2016-11-13 Impact factor: 29.690
Authors: Maria Teresa B Abola; Jonathan Golledge; Tetsuro Miyata; Seung-Woon Rha; Bryan P Yan; Timothy C Dy; Marie Simonette V Ganzon; Pankaj Kumar Handa; Salim Harris; Jiang Zhisheng; Ramakrishna Pinjala; Peter Ashley Robless; Hiroyoshi Yokoi; Elaine B Alajar; April Ann Bermudez-Delos Santos; Elmer Jasper B Llanes; Gay Marjorie Obrado-Nabablit; Noemi S Pestaño; Felix Eduardo Punzalan; Bernadette Tumanan-Mendoza Journal: J Atheroscler Thromb Date: 2020-07-04 Impact factor: 4.928
Authors: Krzysztof Dys; Justyna Drelichowska-Durawa; Bartosz Dołega-Kozierowski; Michał Lis; Kyriakos Sokratous; Wojciech Iwanowski; Stanisław Drelichowski; Wojciech Witkiewicz Journal: Pol J Radiol Date: 2013-07
Authors: Marie D Gerhard-Herman; Heather L Gornik; Coletta Barrett; Neal R Barshes; Matthew A Corriere; Douglas E Drachman; Lee A Fleisher; Francis Gerry R Fowkes; Naomi M Hamburg; Scott Kinlay; Robert Lookstein; Sanjay Misra; Leila Mureebe; Jeffrey W Olin; Rajan A G Patel; Judith G Regensteiner; Andres Schanzer; Mehdi H Shishehbor; Kerry J Stewart; Diane Treat-Jacobson; M Eileen Walsh Journal: Circulation Date: 2016-11-13 Impact factor: 29.690