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Non-traumatic or spontaneous dissection of the superficial femoral artery is an extremely rare entity, being more common in the external iliac artery in relation to intensive physical activity, pregnancy, among others. It has a variable clinical presentation. The diagnosis is made through angio-tomography (Angio-CT), angio-resonance (Angio-MR) and/or arteriography, the last one being diagnostic and therapeutic. The case of a 62-year-old female patient with a history of high blood pressure who consulted due to intense pain in the left lower limb is discussed. The diagnosis of dissection was made through arteriography and she underwent endovascular repair, showing favorable results.
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OBJECTIVE: Intravascular ultrasound (IVUS) examination is increasingly used in the treatment of iliofemoral venous disease and provides more sensitive and specific detection of stenotic lesions when compared with traditional multiplanar venography alone. Correlations with deep venous stent patency, however, have not yet been investigated. The objective of the study was to evaluate the impact of the use of IVUS examination in addition to multiplanar venography on iliofemoral venous patency. METHODS: Consecutive patients who underwent stenting for symptomatic thrombotic or nonthrombotic iliofemoral venous lesions (NIVLs) between 2014 and 2020 at a single institution were identified and divided into two groups based on whether IVUS examination was used before stent deployment in addition to multiplanar venography compared with venography alone. A retrospective review of demographic, operative, and follow-up data was performed. Thirty-day and 2-year stent patency were measured as primary end points. χ2 analysis, logistic regression models, and Kaplan-Meier survival analysis were used to determine outcomes. Technical details and outcomes were additionally examined among patients treated for acute deep venous thrombosis, post-thrombotic syndrome, or NIVLs separately on subgroup analysis. RESULTS: We identified 150 patients (173 limbs, 23 bilateral) who underwent iliofemoral stenting during the study period at our institution (mean age: 48.8 ± 16.8 years, 61% female). Adjunctive IVUS utilization before stent deployment was reported in 69 of 173 (39.9%) treated limbs. IVUS examination was more likely to be used in patients who underwent stenting for NIVLs compared with thrombotic disease (41.0% vs 11.2%, P < .01). There was no difference in the number of stents deployed between IVUS and non-IVUS cohorts. However, IVUS examination was associated with the increased total length of the stent deployed (126 ± 56 vs 112 ± 48 mm, P = .04) and a higher rate of infrainguinal stent extension (17.4% vs 6.7%, P = .03). In addition, mean stent diameter was significantly higher when IVUS examination was performed before stent placement (16.3 ± 3.7 vs 15.2 ± 1.9 mm, P < .01). Both 30-day (98.5% vs 89.4%, P = .02) and 2-year (90.3% vs 78.7%, P = .03) primary patency were significantly higher in the IVUS cohort. Adjunctive IVUS use was found to significantly protect against stent reintervention at 2 years on adjusted Cox regression analysis (hazard ratio: 0.22, 95% confidence interval: 0.07-0.71, P = .01). CONCLUSIONS: Adjunctive IVUS utilization is associated with differences in stent diameter and length selections as well as landing segments in the treatment of thrombotic and nonthrombotic iliofemoral venous disease. IVUS examination before stent deployment significantly protects against 30-day and 2-year stent reintervention when compared with the use of multiplanar venography alone. These data provide stronger evidence for routine IVUS use in addition to venography before iliofemoral venous stenting.
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Veia Ilíaca , Doenças Vasculares , Adulto , Idoso , Feminino , Humanos , Veia Ilíaca/diagnóstico por imagem , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Stents , Resultado do Tratamento , Ultrassonografia de Intervenção , Grau de Desobstrução VascularRESUMO
Aims: Assessment of minimum lumen areas in intravascular ultrasound (IVUS) pullbacks is time-consuming and demands adequately trained personnel. In this work, we introduce a novel and fully automated pipeline to segment the lumen boundary in IVUS datasets. Methods and results: First, an automated gating is applied to select end-diastolic frames and bypass saw-tooth artefacts. Second, within a machine learning (ML) environment, we automatically segment the lumen boundary using a multi-frame (MF) convolutional neural network (MFCNN). Finally, we use the theory of Gaussian processes (GPs) to regress the final lumen boundary. The dataset consisted of 85 IVUS pullbacks (52 patients). The dataset was partitioned at the pullback-level using 73 pullbacks for training (20 586 frames), 6 pullbacks for validation (1692 frames), and 6 for testing (1692 frames). The degree of overlapping, between the ground truth and ML contours, median (interquartile range, IQR) systematically increased from 0.896 (0.874-0.933) for MF1 to 0.925 (0.911-0.948) for MF11. The median (IQR) of the distance error was also reduced from 3.83 (2.94-4.98)% for MF1 to 3.02 (2.25-3.95)% for MF11-GP. The corresponding median (IQR) in the lumen area error remained between 5.49 (2.50-10.50)% for MF1 and 5.12 (2.15-9.00)% for MF11-GP. The dispersion in the relative distance and area errors consistently decreased as we increased the number of frames, and also when the GP regressor was coupled to the MFCNN output. Conclusion: These results demonstrate that the proposed ML approach is suitable to effectively segment the lumen boundary in IVUS scans, reducing the burden of costly and time-consuming manual delineation.
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Intramural coronary hematoma (IMCH) is a rare cause of acute myocardial infarction (MI). We aim to review the current knowledge and share our experience with the diagnosis and management of a patient presenting with traumatic IMCH leading to an acute ST-segment elevation MI. (Level of Difficulty: Intermediate.).
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Varicose veins of the neck are far less common than lower extremity varicosities. Often, neck varicosities can be a sign of a more central venous obstruction. Here, we describe a patient with no risk factors for central venous obstruction who presented with a recurrent left subclavian vein (LSV) varicosity causing significant pain and discomfort that was recalcitrant to repeated phlebectomy. Venography revealed a dilated LSV with no significant venographic stenosis in the LSV or brachiocephalic vein. Intravascular ultrasound subsequently revealed a culprit hypertrophied valve that was successfully treated with valvuloplasty, resulting in durable resolution of the patient's symptoms, suggesting that intravascular ultrasound was essential in the diagnosis and treatment of this hypertrophied valve.
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Atherosclerotic plaque rupture and erosion are the most important mechanisms underlying the sudden plaque growth, responsible for acute coronary syndromes and even fatal cardiac events. Advances in the understanding of the culprit plaque structure and composition are already reported in the literature, however, there is still much work to be done toward in-vivo plaque visualization and mechanical characterization to assess plaque stability, patient risk, diagnosis and treatment prognosis. In this work, a methodology for the mechanical characterization of the vessel wall plaque and tissues is proposed based on the combination of intravascular ultrasound (IVUS) imaging processing, data assimilation and continuum mechanics models within a high performance computing (HPC) environment. Initially, the IVUS study is gated to obtain volumes of image sequences corresponding to the vessel of interest at different cardiac phases. These sequences are registered against the sequence of the end-diastolic phase to remove transversal and longitudinal rigid motions prescribed by the moving environment due to the heartbeat. Then, optical flow between the image sequences is computed to obtain the displacement fields of the vessel (each associated to a certain pressure level). The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. Specifically, a reduced order unscented Kalman filter is employed, endowed with a forward operator which amounts to address the solution of a hyperelastic solid mechanics model in the finite strain regime taking into account the axially stretched state of the vessel, as well as the effect of internal and external forces acting on the arterial wall. Due to the computational burden, a HPC approach is mandatory. Hence, the data assimilation and computational solid mechanics computations are parallelized at three levels: (i) a Kalman filter level; (ii) a cardiac phase level; and (iii) a mesh partitioning level. To illustrate the capabilities of this novel methodology toward the in-vivo analysis of patient-specific vessel constituents, mechanical material parameters are estimated using in-silico and in-vivo data retrieved from IVUS studies. Limitations and potentials of this approach are exposed and discussed.
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OBJECTIVES: In this first-in-human study, we prospectively studied the vascular compatibility and mechanical performance of a novel bare ultra-high molecular weight amorphous PLLA bioresorbable scaffold (BRS, FORTITUDE®, Amaranth Medical, Mountain View, California) up to two years after implantation using multimodality imaging techniques. BACKGROUND: The vascular biocompatibility of polymers used in BRS has not been fully characterized in the absence of anti-proliferative drugs. METHODS: A total of 10 patients undergoing single scaffold implantation were included in the final analysis and were followed up using optical coherence tomography (OCT) at 2-years. All devices were implanted under angiographic and intravascular ultrasound (IVUS) guidance. Angiographic and IVUS follow up was performed at 6 months. Additionally, angiography and OCT imaging were performed at 2-years. RESULTS: At 6 months, mean intra-scaffold angiographic MLD slightly decreased from baseline procedural values. However, at 2 years, mean angiographic MLD increased (post procedure; 2.9 [2.7, 3.1] mm vs. 6 months; 2.1 [1.6, 2.5] vs. 2 years; 2.4 [2.1, 2.6], P = .001). Also, angiographic percent diameter stenosis decreased and late lumen gain increased between 6 months and 2 years follow up. Mean neointimal hyperplasia volume assessed by IVUS at 6 months was 26% [15.2, 29.3]. At 2 years OCT follow up neointimal hyperplasia volume was 24.2% [19.4, 28.9]. No presence of neoatherosclerosis was identified in any of the analyzed cases. CONCLUSION: At 2 years, this novel PLLA-based BRS induced expansive vascular remodeling from 6 to 24 months, a biological phenomenon that appears to be independent of the presence of anti-proliferative drugs.
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Implantes Absorvíveis , Angiografia Coronária , Doença da Artéria Coronariana/terapia , Vasos Coronários/diagnóstico por imagem , Intervenção Coronária Percutânea/instrumentação , Poliésteres/química , Tomografia de Coerência Óptica , Ultrassonografia de Intervenção , Remodelação Vascular , Idoso , Doença da Artéria Coronariana/diagnóstico por imagem , Doença da Artéria Coronariana/patologia , Doença da Artéria Coronariana/fisiopatologia , Vasos Coronários/patologia , Vasos Coronários/fisiopatologia , Estudos de Viabilidade , Feminino , Humanos , Hiperplasia , Masculino , Pessoa de Meia-Idade , Peso Molecular , Imagem Multimodal , Neointima , Intervenção Coronária Percutânea/efeitos adversos , Valor Preditivo dos Testes , Estudos Prospectivos , Desenho de Prótese , Fatores de Tempo , Resultado do TratamentoRESUMO
BACKGROUND: Intravascular ultrasound (IVUS) provides axial greyscale images, allowing the assessment of the vessel wall and the surrounding tissues. Several studies have described automatic segmentation of the luminal boundary and the media-adventitia interface by means of different image features. PURPOSE: The aim of the present study is to evaluate the capability of some of the most relevant state-of-the-art image features for segmenting IVUS images. The study is focused on Volcano 20 MHz frames not containing plaque or containing fibrotic plaques, and, in principle, it could not be applied to frames containing shadows, calcified plaques, bifurcations and side vessels. METHODS: Several image filters, textural descriptors, edge detectors, noise and spatial measures were taken into account. The assessment is based on classification techniques previously used for IVUS segmentation, assigning to each pixel a continuous likelihood value obtained using support vector machines (SVMs). To retrieve relevant features, sequential feature selection was performed guided by the area under the precision-recall curve (AUC-PR). RESULTS: Subsets of relevant image features for lumen, plaque and surrounding tissues characterization were obtained, and SVMs trained with these features were able to accurately identify those regions. The experimental results were evaluated with respect to ground truth segmentations from a publicly available dataset, reaching values of AUC-PR up to 0.97 and Jaccard index close to 0.85. CONCLUSION: Noise-reduction filters and Haralick's textural features denoted their relevance to identify lumen and background. Laws' textural features, local binary patterns, Gabor filters and edge detectors had less relevance in the selection process.
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Artérias/diagnóstico por imagem , Placa Aterosclerótica/diagnóstico por imagem , Ultrassonografia de Intervenção/métodos , Algoritmos , Humanos , Reprodutibilidade dos Testes , Máquina de Vetores de SuporteRESUMO
AIMS: The objectives of the present study are to describe the algorithm for VH(®) IVUS using the 45-MHz rotational IVUS catheter and the associated ex vivo validation in comparison to the gold standard histology. METHODS AND RESULTS: The first phase of the present study was to construct the 45 MHz VH IVUS algorithm by using a total of 55 human coronary artery specimens [111 independent coronary lesions and 510 homogenous regions of interest (ROIs)], obtained at autopsy. Regions were selected from histology and matched with their corresponding IVUS data to build the plaque classification system using spectral analysis and statistical random forests. In the second phase, the ex vivo validation of the VH IVUS algorithm assessed a total of 1060 ROIs (120 lesions from 60 coronary arteries) in comparison with histology. In an independent manner, two interventional cardiologists also classified a randomly selected subset of the ROIs for assessment of inter- and intra-observer reproducibility of VH IVUS image interpretation.When including all ROIs, the predictive accuracies were 90.8% for fibrous tissue, 85.8% for fibro fatty tissue, 88.3% for necrotic core, and 88.0% for dense calcium. The exclusion of ROIs in the acoustically attenuated areas improved the predictive accuracies, ranging from 91.9 to 96.8%. The independent analysis of randomly selected 253 ROIs showed substantial agreement for inter-observer (k = 0.66) and intra-observer (k = 0.88) reproducibility. CONCLUSION: Tissue classification by 45 MHz VH IVUS technology, when not influenced by calcium-induced acoustic attenuation, provided combined tissue accuracy >88% to identify tissue types compared with the gold standard histologic assessment, with high inter- and intra-observer reproducibility.
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Algoritmos , Vasos Coronários/diagnóstico por imagem , Placa Aterosclerótica/diagnóstico por imagem , Ultrassonografia de Intervenção/métodos , Autopsia , Cateteres Cardíacos , Vasos Coronários/patologia , Humanos , Processamento de Imagem Assistida por Computador , Técnicas In Vitro , Placa Aterosclerótica/patologia , Reprodutibilidade dos Testes , Rotação , Ultrassonografia de Intervenção/instrumentaçãoRESUMO
INTRODUCTION: The rupture of atherosclerotic plaques causes millions of death yearly. It is known that the kind of predominant tissue is associated with its dangerousness. In addition, the mechanical properties of plaques have been proved to be a good parameter to characterize the type of tissue, important information for therapeutic decisions. METHODS: Therefore, we present an alternative and simple way to discriminate tissues. The procedure relies on computing an index, the ratio of the plaque area variation of a suspecting plaque, using images acquired with vessel and plaques, pre and post-deformation, under different intraluminal pressure. Numerical phantoms of coronary cross-sections with different morphological aspects, and simulated with a range of properties, were used for evaluation. RESULTS: The outcomes provided by this index and a widely used one were compared, so as to measure their correspondence. As a result, correlations up to 99%, a strong agreement with Bland-Altman and very similar histograms between the two indices, have shown a good level of equivalence between the methods. CONCLUSION: The results demonstrated that the proposed index discriminates highly lipidic from fibro-lipidic and calcified tissues in many situations, as good as the widely used index, yet the proposed method is much simpler to be computed.