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Wakabayashi K, Suzuki T, Sato C, Nishikura T. Entirely zero-contrast diagnosis and revascularization for bilateral stenotic iliac disease with advanced chronic kidney disease: a case report. Eur Heart J Case Rep 2023; 7:ytad338. [PMID: 37539348 PMCID: PMC10394305 DOI: 10.1093/ehjcr/ytad338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/31/2023] [Accepted: 07/19/2023] [Indexed: 08/05/2023]
Abstract
Background Peripheral artery disease (PAD) is usually diagnosed with non-invasive arterial testing methods such as Doppler ultrasound or computed tomography angiography and treated with revascularization using contrast media, which increases the risk of contrast nephropathy and the need for subsequent renal replacement therapy, especially in patients with advanced chronic kidney disease (CKD). Therefore, it is important to identify a worthy alternative strategy for use in high-risk patients. Case summary We present the case of a 79-year-old man with bilateral claudication and advanced CKD. The patient had a high risk of sustained reduction in renal function and requirement of renal replacement therapy in the event that contrast media was used. Therefore, we planned a zero-contrast strategy for diagnosis and treatment. The case was diagnosed as bilateral stenotic iliac disease with non-contrast magnetic resonance angiography. Zero-contrast intervention was conducted successfully under magnetic resonance angiography and intra-vascular ultrasound guidance, resulting in an excellent clinical outcome and avoidance of worsening renal function. Discussion This zero-contrast strategy appears to be a viable alternative to angiography using contrast for diagnosis and treatment in patients with PAD and advanced CKD where contrast use is relatively contraindicated.
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Affiliation(s)
| | - Toshiaki Suzuki
- Division of Cardiology, Cardiovascular Center, Showa University Koto-Toyosu Hospital, 5-1-38, Toyosu, Koto-ku, Tokyo 135-8577, Japan
| | - Chisato Sato
- Division of Cardiology, Cardiovascular Center, Showa University Koto-Toyosu Hospital, 5-1-38, Toyosu, Koto-ku, Tokyo 135-8577, Japan
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Lee M, Ko M, Ahn J, Ahn J, Yu J, Chang J, Oh S, Chang D. Evaluation of the Abdominal Aorta and External Iliac Arteries Using Three-Dimensional Time-of-Flight, Three Dimensional Electrocardiograph-Gated Fast Spin-Echo, and Contrast-Enhanced Magnetic Resonance Angiography in Clinically Healthy Cats. Front Vet Sci 2022; 9:819627. [PMID: 35782562 PMCID: PMC9249124 DOI: 10.3389/fvets.2022.819627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 05/11/2022] [Indexed: 11/14/2022] Open
Abstract
Arterial thromboembolism is associated with high morbidity and mortality rates in cats. Definitive diagnosis requires advanced imaging modalities, such as computed tomography angiography (CTA) and contrast-enhanced (CE) magnetic resonance angiography (MRA). However, CTA involves exposure to a large amount of ionized radiation, and CE-MRA can cause systemic nephrogenic fibrosis. Non-contrast-enhanced (NE) MRA can help accurately diagnose vascular lesions without such limitations. In this study, we evaluated the ability of NE-MRA using three-dimensional electrocardiograph-gated fast spin-echo (3D ECG-FSE) and 3D time-of-flight (3D TOF) imaging to visualize the aorta and external iliac arteries in clinically healthy cats and compared the results with those obtained using CE-MRA. All 11 cats underwent 3D ECG-FSE, 3D TOF, and CE-MRA sequences. Relative signal intensity (rSI) for quantitative image analysis and image quality scores (IQS) for qualitative image analysis were assessed; the rSI values based on the 3D TOF evaluations were significantly lower than those obtained using 3D ECG-FSE (aorta 3D TOF: 0.57 ± 0.06, aorta 3D ECG-FSE: 0.83 ± 0.06, P < 0.001; external iliac arteries 3D TOF: 0.45 ± 0.06, external iliac arteries 3D ECG-FSE:0.80 ± 0.05, P < 0.001) and similar to those obtained using CE-MRA (aorta: 0.58 ± 0.05, external iliac arteries: 0.57 ± 0.03). Moreover, IQS obtained using 3D TOF were significantly higher than those obtained using 3D ECG-FSE (aorta 3D TOF: 3.95 ± 0.15, aorta 3D ECG-FSE: 2.32 ± 0.60, P < 0.001; external iliac arteries 3D ECG-FSE: 3.98 ± 0.08, external iliac arteries 3D ECG-FSE: 2.23 ± 0.56, P < 0.001) and similar to those obtained using CE-MRA (aorta: 3.61 ± 0.41, external iliac arteries: 3.57 ± 0.41). Thus, 3D TOF is more suitable and produces consistent image quality for visualizing the aorta and external iliac arteries in clinically healthy cats and this will be of great help in the diagnosis of FATE.
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Affiliation(s)
- Minju Lee
- Section of Medical Imaging, Veterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Minjung Ko
- Section of Medical Imaging, Veterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Jisoo Ahn
- Section of Medical Imaging, Veterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Jiyoung Ahn
- Section of Medical Imaging, Veterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
| | - Jin Yu
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States
| | - Jinhwa Chang
- Korea Animal Medical Center, Cheongju, South Korea
| | - Sukhoon Oh
- Bio-Chemical Analysis Team, Korea Basic Science Institute, Daejeon, South Korea
| | - Dongwoo Chang
- Section of Medical Imaging, Veterinary Medical Center, College of Veterinary Medicine, Chungbuk National University, Cheongju, South Korea
- *Correspondence: Dongwoo Chang
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Li H, Graves MJ, Shaida N, Prashar A, Lomas DJ, Priest AN. Highly accelerated subtractive femoral non-contrast-enhanced MRA using compressed sensing with k-space subtraction, phase and intensity correction. Magn Reson Med 2021; 86:320-334. [PMID: 33645815 DOI: 10.1002/mrm.28736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 01/25/2021] [Accepted: 01/25/2021] [Indexed: 11/05/2022]
Abstract
PURPOSE To develop an improved reconstruction method, k-space subtraction with phase and intensity correction (KSPIC), for highly accelerated, subtractive, non-contrast-enhanced MRA. METHODS The KSPIC method is based on k-space subtraction of complex raw data. It applies a phase-correction procedure to restore the polarity of negative signals caused by subtraction and an intensity-correction procedure to improve background suppression and thereby sparsity. Ten retrospectively undersampled data sets and 10 groups of prospectively undersampled data sets were acquired in 12 healthy volunteers. The performance of KSPIC was compared with another improved reconstruction based on combined magnitude subtraction, as well as with conventional k-space subtraction reconstruction and magnitude subtraction reconstruction, both using quantitative metrics and using subjective quality scoring. RESULTS In the quantitative evaluation, KSPIC had the best performance in terms of peak SNR, structural similarity index measure, contrast-to-noise ratio of artery-to-background and sharpness, especially at high acceleration factors. The KSPIC method also had the highest subjective scores for all acceleration factors in terms of vessel delineation, image noise and artifact, and background contamination. The acquisition can be accelerated by a factor of 20 without significant decreases of subjective scores. The optimal size of the phase-correction region was found to be 12-20 pixels in this study. CONCLUSION Compared with combined magnitude subtraction and conventional reconstructions, KSPIC has the best performance in all of the quantitative and qualitative measurements, permitting good image quality to be maintained up to higher accelerations. The KSPIC method has the potential to further reduce the acquisition time of subtractive MRA for clinical examinations.
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Affiliation(s)
- Hao Li
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.,Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Nadeem Shaida
- Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Akash Prashar
- Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - David J Lomas
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.,Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom
| | - Andrew N Priest
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.,Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom
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Li H, Wang S, Graves MJ, Lomas DJ, Priest AN. Subtractive NCE-MRA: Improved background suppression using robust regression-based weighted subtraction. Magn Reson Med 2020; 85:694-708. [PMID: 32754954 DOI: 10.1002/mrm.28443] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 06/30/2020] [Accepted: 07/03/2020] [Indexed: 11/09/2022]
Abstract
PURPOSE To correct the intensity difference of static background signal between bright blood images and dark blood images in subtractive non-contrast-enhanced MR angiography using robust regression, thereby improving static background signal suppression on subtracted angiograms. METHODS Robust regression (RR), using iteratively reweighted least squares, is used to calculate the regression coefficient of background tissues from a scatter plot showing the voxel intensity of bright blood images versus dark blood images. The weighting function is based on either the Euclidean distance from the estimated regression line or the deviation angle. Results from RR using the deviation angle (RRDA), conventional RR using the Euclidean distance, and ordinary leastsquares regression were compared with reference values determined manually by two observers. Performance was evaluated over studies using different sequences, including 36 thoracic flow-sensitive dephasing data sets, 13 iliac flow-sensitive dephasing data sets, and 26 femoral fresh blood imaging data sets. RESULTS RR deviation angle achieved robust and accurate performance in all types of images, with small bias, small mean absolute error, and high-correlation coefficients with reference values. Background tissues, such as muscle, veins, and bladder, were suppressed while the vascular signal was preserved. Euclidean distance gave good performance for thoracic and iliac flow-sensitive dephasing, but could not suppress background tissues in femoral fresh blood imaging. Ordinary least squares regression was sensitive to outliers and overestimated regression coefficients in thoracic flow-sensitive dephasing. CONCLUSION Weighted subtraction using RR was able to acquire the regression coefficients of background signal and improve background suppression of subtractive non-contrast-enhanced MR angiography techniques. RR deviation angle has the most robust and accurate overall performance among three regression methods.
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Affiliation(s)
- Hao Li
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Shuo Wang
- Department of Radiology, University of Cambridge, Cambridge, UK.,Data Science Institute, Imperial College London, London, UK
| | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, UK.,Department of Radiology, Addenbrooke's Hospital, Cambridge, UK
| | - David J Lomas
- Department of Radiology, University of Cambridge, Cambridge, UK.,Department of Radiology, Addenbrooke's Hospital, Cambridge, UK
| | - Andrew N Priest
- Department of Radiology, University of Cambridge, Cambridge, UK.,Department of Radiology, Addenbrooke's Hospital, Cambridge, UK
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Cooper K, Majdalany BS, Kalva SP, Chandra A, Collins JD, Francois CJ, Ganguli S, Gornik HL, Kendi AT, Khaja MS, Minocha J, Norton PT, Obara P, Reis SP, Sutphin PD, Rybicki FJ. ACR Appropriateness Criteria ® Lower Extremity Arterial Revascularization-Post-Therapy Imaging. J Am Coll Radiol 2019; 15:S104-S115. [PMID: 29724414 DOI: 10.1016/j.jacr.2018.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 03/04/2018] [Indexed: 02/07/2023]
Abstract
Peripheral arterial disease (PAD) affects millions across the world and in the United States between 9% to 23% of all patients older than 55 years. The refinement of surgical techniques and evolution of endovascular approaches have improved the success rates of revascularization in patients afflicted by lower extremity PAD. However, restenosis or occlusion of previously treated vessels remains a pervasive issue in the postoperative setting. A variety of different imaging options are available to evaluate patients and are reviewed within the context of asymptomatic and symptomatic patients with PAD who have previously undergone endovascular or surgical revascularization. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Kyle Cooper
- Research Author, University of Michigan Health System, Ann Arbor, Michigan
| | - Bill S Majdalany
- Principal Author and Panel Vice-Chair, University of Michigan Health System, Ann Arbor, Michigan.
| | | | - Ankur Chandra
- Scripps Green Hospital, La Jolla, California; Society for Vascular Surgery
| | | | | | | | - Heather L Gornik
- Cleveland Clinic Heart and Vascular Institute, Cleveland, Ohio; American College of Cardiology
| | | | | | - Jeet Minocha
- University of California, San Diego, San Diego, California
| | | | - Piotr Obara
- Loyola University Medical Center, Maywood, Illinois
| | | | | | - Frank J Rybicki
- Specialty Chair, Ottawa Hospital Research Institute and the Department of Radiology, The University of Ottawa, Ottawa, Ontario, Canada
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Hanrahan CJ, Lindley MD, Mueller M, Kim D, Sommers D, Morrell G, Redd A, Carlston K, Lee VS. Diagnostic Accuracy of Noncontrast MR Angiography Protocols at 3T for the Detection and Characterization of Lower Extremity Peripheral Arterial Disease. J Vasc Interv Radiol 2018; 29:1585-1594.e2. [DOI: 10.1016/j.jvir.2018.06.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 06/19/2018] [Accepted: 06/20/2018] [Indexed: 02/01/2023] Open
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Kim H, Park S, Kim EY, Park J. Retrospective multi-phase non-contrast-enhanced magnetic resonance angiography (ROMANCE MRA) for robust angiogram separation in the presence of cardiac arrhythmia. Magn Reson Med 2018; 80:976-989. [DOI: 10.1002/mrm.27099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/27/2017] [Accepted: 12/30/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Hahnsung Kim
- Department of Biomedical Engineering; Sungkyunkwan University; Suwon Republic of Korea
| | - Suhyung Park
- Department of Biomedical Engineering; Sungkyunkwan University; Suwon Republic of Korea
| | - Eung Yeop Kim
- Department of Radiology; Gachon University Gil Medical Center; Incheon Republic of Korea
| | - Jaeseok Park
- Department of Biomedical Engineering; Sungkyunkwan University; Suwon Republic of Korea
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