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Diagnostic and Interventional Imaging Sep 2022Diagnostic radiologists play an important role in the evaluation of patients presenting with signs and symptoms of lower extremity peripheral vascular disease, including... (Review)
Review
Diagnostic radiologists play an important role in the evaluation of patients presenting with signs and symptoms of lower extremity peripheral vascular disease, including critical limb ischemia in both acute and chronic settings, and intermittent claudication. The complications associated with tissue and/or limb loss related to acute limb ischemia and critical limb ischemia of the lower extremity make rapid diagnosis and early intervention critical in the management of these patients. Computed tomography angiography (CTA) is an effective, widely available, easily reproducible, non-invasive imaging modality that offers a rapid and accurate means to diagnose and grade the extent of vascular disease. However, CTA run-off reports are usually dictated in free text form, and referring and treating physicians may be unsure whether an anatomic structure has been evaluated if it has not been specifically mentioned in the report. In this article, the vascular anatomy and anatomic variants of the lower extremity, the most common lower extremity vascular pathologies are reviewed and clinically important CTA imaging findings are outlined. This provides a framework for radiologists to accurately evaluate lower extremity vascular pathologies and convey clinically relevant imaging findings for management by vascular surgeons or interventional radiologists.
Topics: Angiography; Computed Tomography Angiography; Humans; Ischemia; Lower Extremity; Peripheral Vascular Diseases
PubMed: 35843841
DOI: 10.1016/j.diii.2022.06.010 -
Deutsches Arzteblatt International Jun 2019
Topics: Angiography; Computed Tomography Angiography; Tomography, X-Ray Computed
PubMed: 31431250
DOI: 10.3238/arztebl.2019.0460b -
JACC. Cardiovascular Imaging Oct 2019
Topics: Coronary Angiography; Coronary Artery Disease; Humans
PubMed: 31601385
DOI: 10.1016/j.jcmg.2019.09.001 -
Magnetic Resonance in Medicine May 2023To extend and optimize a non-contrast MRI technique to obtain whole head 4D (time-resolved 3D) qualitative angiographic and perfusion images from a single scan.
PURPOSE
To extend and optimize a non-contrast MRI technique to obtain whole head 4D (time-resolved 3D) qualitative angiographic and perfusion images from a single scan.
METHODS
4D combined angiography and perfusion using radial imaging and arterial spin labeling (CAPRIA) uses pseudocontinuous labeling with a 3D golden ratio ("koosh ball") readout to continuously image the blood water as it travels through the arterial system and exchanges into the tissue. High spatial/temporal resolution angiograms and low spatial/temporal resolution perfusion images can be flexibly reconstructed from the same raw k-space data. Constant and variable flip angle (CFA and VFA, respectively) excitation schedules were optimized through simulations and tested in healthy volunteers. A conventional sensitivity encoding (SENSE) reconstruction was compared against a locally low rank (LLR) reconstruction, which leverages spatiotemporal correlations. Comparison was also made with time-matched time-of-flight angiography and multi-delay EPI perfusion images. Differences in image quality were assessed through split-scan repeatability.
RESULTS
The optimized VFA schedule (2-9°) resulted in a significant (p < 0.001) improvement in image quality (up to 84% vs. CFA), particularly for the lower SNR perfusion images. The LLR reconstruction provided effective denoising without biasing the signal timecourses, significantly improving angiographic and perfusion image quality and repeatability (up to 143%, p < 0.001). 4D CAPRIA performed well compared with time-of-flight angiography and had better perfusion signal repeatability than the EPI-based approach (p < 0.001).
CONCLUSION
4D CAPRIA optimized using a VFA schedule and LLR reconstruction can yield high quality whole head 4D angiograms and perfusion images from a single scan.
Topics: Humans; Magnetic Resonance Angiography; Spin Labels; Imaging, Three-Dimensional; Cerebral Angiography; Perfusion
PubMed: 36533868
DOI: 10.1002/mrm.29558 -
Igaku Butsuri : Nihon Igaku Butsuri... 2021IVR-CT was developed at Aichi Cancer Center (Japan) in 1992 and is now in use worldwide. It was developed initially for the purpose of performing CT more easily during... (Review)
Review
IVR-CT was developed at Aichi Cancer Center (Japan) in 1992 and is now in use worldwide. It was developed initially for the purpose of performing CT more easily during arteriography, but also during non-vascular IR procedures such as biopsy and drainage. Four-detector-row IVR-MDCT was introduced to Shizuoka Cancer center in 2002, which was upgraded to 320-Row IVR-ADCT (320-IVR-CT) by 2013. Although we performed an initial investigation into the efficacy of 320 IVR-CT for vascular intervention, the direct MPR method using volume scanning is predominant in the field of non-vascular intervention. In this review, we describe the history of IVR-CT, report the efficacy of 320-IVR-CT for vascular and non-vascular intervention, and report our experiences.
Topics: Angiography; Humans; Japan
PubMed: 34744140
DOI: 10.11323/jjmp.41.3_92 -
Radiographics : a Review Publication of... 2021Neurovascular MR angiography (MRA) is an evolving imaging technique and is crucial for the workup of numerous neurologic disorders. While CT angiography (CTA) provides a...
Neurovascular MR angiography (MRA) is an evolving imaging technique and is crucial for the workup of numerous neurologic disorders. While CT angiography (CTA) provides a more rapid imaging assessment, in select patients it can impart a small risk of contrast material-induced nephrotoxicity or radiation-associated cancers. In addition, MRA offers some advantages over CTA for neurovascular evaluation, including higher temporal resolution and the capability for vessel wall imaging. This module is the third in a series created on behalf of the Society for Magnetic Resonance Angiography (SMRA), a group of researchers and clinicians who are passionate about the benefits of MRA but understand its challenges. Work of the U.S. Government published under an exclusive license with the RSNA.
Topics: Computed Tomography Angiography; Contrast Media; Humans; Magnetic Resonance Angiography
PubMed: 34723690
DOI: 10.1148/rg.2021210180 -
International Journal of Molecular... Jun 2023Diabetic choroidopathy was first described on histopathological specimens of diabetic eyes. This alteration was characterized by the accumulation of PAS-positive... (Review)
Review
Diabetic choroidopathy was first described on histopathological specimens of diabetic eyes. This alteration was characterized by the accumulation of PAS-positive material within the intracapillary stroma. Inflammation and polymorphonuclear neutrophils (PMNs) activation are crucial elements in choriocapillaris impairment. The evidence of diabetic choroidopathy in vivo was confirmed with multimodal imaging, which provides key quantitative and qualitative features to characterize the choroidal involvement. The choroid can be virtually affected in each vascular layer, from Haller's layer to the choriocapillaris. However, the damage on the outer retina and photoreceptor cells is essentially driven by a choriocapillaris deficiency, which can be assessed through optical coherence tomography angiography (OCTA). The identification of characteristic features of diabetic choroidopathy can be significant for understanding the potential pathogenic and prognostic implications in diabetic retinopathy.
Topics: Humans; Diabetic Retinopathy; Retina; Choroid; Retinal Vessels; Angiography; Tomography, Optical Coherence; Fluorescein Angiography; Diabetes Mellitus
PubMed: 37373315
DOI: 10.3390/ijms241210167 -
Circulation Journal : Official Journal... Apr 2022
Topics: Angiography; Contrast Media; Coronary Angiography; Female; Humans; Male; Renal Insufficiency, Chronic
PubMed: 35354716
DOI: 10.1253/circj.CJ-22-0141 -
Ugeskrift For Laeger Nov 2022
Topics: Humans; Coronary Vessels; Coronary Angiography
PubMed: 36426819
DOI: No ID Found -
Journal of Biomedical Optics Feb 2022Full-field optical angiography is critical for vascular disease research and clinical diagnosis. Existing methods struggle to improve the temporal and spatial...
SIGNIFICANCE
Full-field optical angiography is critical for vascular disease research and clinical diagnosis. Existing methods struggle to improve the temporal and spatial resolutions simultaneously.
AIM
Spatiotemporal absorption fluctuation imaging (ST-AFI) is proposed to achieve dynamic blood flow imaging with high spatial and temporal resolutions.
APPROACH
ST-AFI is a dynamic optical angiography based on a low-coherence imaging system and U-Net. The system was used to acquire a series of dynamic red blood cell (RBC) signals and static background tissue signals, and U-Net is used to predict optical absorption properties and spatiotemporal fluctuation information. U-Net was generally used in two-dimensional blood flow segmentation as an image processing algorithm for biomedical imaging. In the proposed approach, the network simultaneously analyzes the spatial absorption coefficient differences and the temporal dynamic absorption fluctuation.
RESULTS
The spatial resolution of ST-AFI is up to 4.33 μm, and the temporal resolution is up to 0.032 s. In vivo experiments on 2.5-day-old chicken embryos were conducted. The results demonstrate that intermittent RBCs flow in capillaries can be resolved, and the blood vessels without blood flow can be suppressed.
CONCLUSIONS
Using ST-AFI to achieve convolutional neural network (CNN)-based dynamic angiography is a novel approach that may be useful for several clinical applications. Owing to their strong feature extraction ability, CNNs exhibit the potential to be expanded to other blood flow imaging methods for the prediction of the spatiotemporal optical properties with improved temporal and spatial resolutions.
Topics: Algorithms; Angiography; Animals; Capillaries; Chick Embryo; Image Processing, Computer-Assisted; Neural Networks, Computer
PubMed: 35137573
DOI: 10.1117/1.JBO.27.2.026002