Incremental prognostic utility of left ventricular and left atrial strains in coronary artery disease patients with reduced systolic function.

OBJECTIVE: This study aimed to investigate the predictive value of left ventricular global longitudinal strain (GLS) and left atrial reservoir strain (LARS) on adverse events in chronic coronary artery disease (CAD) patients with reduced systolic function. METHODS: A total of 192 consecutive patients clinically diagnosed with chronic CAD and left ventricular ejection fraction (LVEF) ≤ 50% were finally included. Multiple strain parameters were analyzed with speckle tracking echocardiography. The composite endpoint included all-cause mortality, rehospitalization due to heart failure, myocardial infarction, and stroke. RESULTS: Patients experiencing the endpoint showed lower LVEF, lower absolute GLS and LARS than those without events. Both GLS (AUC = 0.82 [GLS] vs. 0.58 [LVEF], p < 0.001) and LARS (AUC = 0.71 [LARS] vs. 0.58 [LVEF], p = 0.033) were superior to LVEF in predicting adverse events. Multivariate cox regression analysis showed that both GLS (hazard ratio, 0.71; 95% CI, 0.63-0.79; p < 0.001) and LARS (hazard ratio, 0.96; 95% CI, 0.93-0.98; p < 0.001) were independent predictors for the endpoint. The addition of LARS (global chi-squared, 35.7 vs. 17.4; p < 0.05), GLS (global chi-squared, 58.6 vs. 17.4; p < 0.05) or both LARS and GLS (global chi-squared, 79.6 vs. 17.4; p < 0.05) to LVEF in the prediction model significantly improved its performance. The same significant improvement was also shown in the subgroups of mild (30% < LVEF ≤ 50%) and severe (LVEF ≤ 30%) reduced systolic function. CONCLUSIONS: Regarding CAD patients with reduced LVEF, both GLS and LARS are superior to LVEF in predicting adverse events, providing significant incremental value to LVEF.

Subclinical cardiac impairments in fetuses conceived through assisted reproductive technology by speckle tracking echocardiography.

OBJECTIVES: To evaluate the changes of cardiac morphology and function in fetuses conceived through assisted reproductive technologies (ART) by speckle tracking echocardiography. METHODS: A retrospective study was conducted in 101 spontaneously conceived (SC) fetuses and 99 ART-conceived ones. Fetal echocardiography was performed, fetal cardiac morphology and function were analyzed using two-dimensional speckle tracking software, including global sphericity index (GSI), global longitudinal strain (GLS), fractional area change (FAC) of the left and right ventricles, as well as segmental sphericity index (SI), end-diastolic diameter (ED), and fractional shortening (FS) in 24 segments. RESULTS: Compared to the SC fetuses, the ART-conceived fetuses exhibited decreased GSI (median [interquartile range], 1.22 [1.16-1.27] vs. 1.18 [1.11-1.24], p=0.007), decreased right ventricular GLS (24.9 [21.5-27.6] vs. 23.2 [20.4-26.8], p=0.026), and decreased right ventricular FAC (mean ± standard deviation, 39.7 ± 6.4 vs. 37.2 ± 7.1, p=0.003). Analysis of the 24 segments showed that ART-conceived fetuses had reduced SI in the apical segments of right ventricle and increased ED in several segments of the right ventricle. CONCLUSIONS: Fetuses conceived through ART had a more spherical shape of the global heart and predominantly right-sided cardiac remodeling and systolic function impairment.

Ultrasound evaluation of the cardiovascular system in offspring conceived through assisted reproductive technology.

With the widespread application of assisted reproductive technology, the health issues of offspring conceived through assisted reproductive technology have also received increasing attention. Animal experiments and clinical studies have found subclinical adverse changes in the cardiovascular system of assisted reproductive offspring. Assisted reproductive technology itself may be just one of the many factors contributing to this phenomenon, with epigenetics playing an important role. Ultrasound technology can be used to assess the morphological structure and function of the cardiovascular system in assisted reproductive offspring from the fetal stage, providing the possibility to study the potential cardiovascular damage in this large population. This review aims to explore the effects and mechanisms of assisted reproductive technology on the cardiovascular system of offspring and provide a review of the research progress in ultrasound technology in this area.

Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.

OBJECTIVES: To establish a breast lesion risk stratification system using ultrasound images to predict breast malignancy and assess Breast Imaging Reporting and Data System (BI-RADS) categories simultaneously. METHODS: This multicenter study prospectively collected a dataset of ultrasound images for 5012 patients at thirty-two hospitals from December 2018 to December 2020. A deep learning (DL) model was developed to conduct binary categorization (benign and malignant) and BI-RADS categories (2, 3, 4a, 4b, 4c, and 5) simultaneously. The training set of 4212 patients and the internal test set of 416 patients were from thirty hospitals. The remaining two hospitals with 384 patients were used as an external test set. Three experienced radiologists performed a reader study on 324 patients randomly selected from the test sets. We compared the performance of the DL model with that of three radiologists and the consensus of the three radiologists. RESULTS: In the external test set, the DL model achieved areas under the receiver operating characteristic curve (AUCs) of 0.980 and 0.945 for the binary categorization and six-way categorizations, respectively. In the reader study set, the DL BI-RADS categories achieved a similar AUC (0.901 vs. 0.933, p = 0.0632), sensitivity (90.98% vs. 95.90%, p = 0.1094), and accuracy (83.33% vs. 79.01%, p = 0.0541), but higher specificity (78.71% vs. 68.81%, p = 0.0012) than those of the consensus of the three radiologists. CONCLUSIONS: The DL model performed well in distinguishing benign from malignant breast lesions and yielded outcomes similar to experienced radiologists. This indicates the potential applicability of the DL model in clinical diagnosis. KEY POINTS: • The DL model can achieve binary categorization for benign and malignant breast lesions and six-way BI-RADS categorizations for categories 2, 3, 4a, 4b, 4c, and 5, simultaneously. • The DL model showed acceptable agreement with radiologists for the classification of breast lesions. • The DL model performed well in distinguishing benign from malignant breast lesions and had promise in helping reduce unnecessary biopsies of BI-RADS 4a lesions.

Evaluation of Fetal Cardiac Function in Maternal Gestational Diabetes Mellitus by Speckle-Tracking Echocardiography.

OBJECTIVES: Gestational diabetes mellitus (GDM) is the most common metabolic disease that occurs during pregnancy and may result in fetal cardiac dysfunction. Our study aimed to assess the cardiac function in fetuses of mothers with GDM by a quantitative analysis software based on speckle-tracking echocardiography. METHODS: Forty-nine fetuses exposed to GDM and 50 normal fetuses were enrolled, and fetal echocardiography were performed and analyzed in this prospective cross-sectional study. We compared cardiac systolic function between the two groups using fetal cardiac quantitative analysis software. RESULTS: In the GDM group, left ventricular (24 ± 4 versus 28 ± 4, P < .001) and right ventricular global longitudinal strain (23 ± 4 versus 26 ± 4, P = .002) and right ventricular free wall strain (26 ± 6 versus 29 ± 5, P = .006) were significantly lower compared with the control group, whereas there was no significant difference in global spherical index (1.2 ± 0.1 versus 1.2 ± 0.1, P = .425). Additionally, 24-segment transverse fraction shortening of the right ventricle was more impaired than the left, and the segments with reduced fraction shortening were mainly located in the mid and apical sections of the right ventricle, and midsection of the left ventricle. CONCLUSION: Fetuses exposed to GDM may have cardiac dysfunction before the onset of cardiac morphologic abnormalities, and the right ventricle is more vulnerable than the left during fetal development.

Quantitative assessment of right ventricular size and function with multiple parameters from artificial intelligence-based three-dimensional echocardiography: A comparative study with cardiac magnetic resonance.

AIMS: This study aimed to explore the validation and the diagnostic value of multiple right ventricle (RV) volumes and functional parameters derived from a novel artificial intelligence (AI)-based three-dimensional echocardiography (3DE) algorithm compared to cardiac magnetic resonance (CMR). METHODS AND RESULTS: A total of 51 patients with a broad spectrum of clinical diagnoses were finally included in this study. AI-based RV 3DE was performed in a single-beat HeartModel mode within 24 hours after CMR. In the entire population, RV volumes and right ventricular ejection fraction (RVEF) measured by AI-based 3DE showed statistically significant correlations with the corresponding CMR analysis (p < 0.05 for all). However, the Bland-Altman plots indicated that these parameters were slightly underestimated by AI-based 3DE. Based on CMR derived RVEF < 45% as RV dysfunction, end-systolic volume (ESV), end-systolic volume index (ESVi), stroke volume (SV), and RVEF showed great diagnostic performance in identifying RV dysfunction, as well as some non-volumetric parameters, including tricuspid annular systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strains (LS) (p < 0.05 for all). The cutoff value was 43% for RVEF with a sensitivity of 94% and specificity of 67%. CONCLUSION: AI-based 3DE could provide rapid and accurate quantitation of the RV volumes and function with multiple parameters. Both volumetric and non-volumetric measurements derived from AI-based 3DE contributed to the identification of the RV dysfunction.

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve increased accuracy in diagnosis with higher efficiency. Purpose To determine the feasibility of using a DL approach to predict clinically negative axillary lymph node metastasis from US images in patients with primary breast cancer. Materials and Methods A data set of US images in patients with primary breast cancer with clinically negative axillary lymph nodes from Tongji Hospital (974 imaging studies from 2016 to 2018, 756 patients) and an independent test set from Hubei Cancer Hospital (81 imaging studies from 2018 to 2019, 78 patients) were collected. Axillary lymph node status was confirmed with pathologic examination. Three different convolutional neural networks (CNNs) of Inception V3, Inception-ResNet V2, and ResNet-101 architectures were trained on 90% of the Tongji Hospital data set and tested on the remaining 10%, as well as on the independent test set. The performance of the models was compared with that of five radiologists. The models' performance was analyzed in terms of accuracy, sensitivity, specificity, receiver operating characteristic curves, areas under the receiver operating characteristic curve (AUCs), and heat maps. Results The best-performing CNN model, Inception V3, achieved an AUC of 0.89 (95% confidence interval [CI]: 0.83, 0.95) in the prediction of the final clinical diagnosis of axillary lymph node metastasis in the independent test set. The model achieved 85% sensitivity (35 of 41 images; 95% CI: 70%, 94%) and 73% specificity (29 of 40 images; 95% CI: 56%, 85%), and the radiologists achieved 73% sensitivity (30 of 41 images; 95% CI: 57%, 85%; P = .17) and 63% specificity (25 of 40 images; 95% CI: 46%, 77%; P = .34). Conclusion Using US images from patients with primary breast cancer, deep learning models can effectively predict clinically negative axillary lymph node metastasis. Artificial intelligence may provide an early diagnostic strategy for lymph node metastasis in patients with breast cancer with clinically negative lymph nodes. Published under a CC BY 4.0 license. Online supplemental material is available for this article. See also the editorial by Bae in this issue.

Evaluation of Scoliosis With a Commercially Available Ultrasound System.

OBJECTIVES: Currently, radiography with measurement of the Cobb angle is still considered the reference standard for diagnosing scoliosis. However, the ionizing radiation hazard is drawing wide attention. Can 3-dimensional (3D) ultrasound (US) be an alternative modality for diagnosing and monitoring patients with scoliosis? The aim of our study was to assess the reliability and validity of 3D US imaging in the evaluation of scoliosis. METHODS: A commercially available ultrasound system with a magnetic tracking system was selected for long-distance 3D US imaging. Straight phantoms and curved phantoms were scanned with the imaging system to evaluate the stability of the system for curvature measurements. Eight healthy adult volunteers and 28 patients with scoliosis were recruited for long-distance 3D US imaging. The intraclass correlation coefficient was used to test the reproducibility of the interobserver and intraobserver measurements for both the healthy adults and patients with scoliosis. A linear regression analysis and Bland-Altman plot were used to analyze the correlation and to determine the extent of agreement between the angles measured on US images and the Cobb angles measured on conventional radiographs. RESULTS: The 28 patients with scoliosis included 10 male and 18 female patients aged 8 to 37 years (mean age ± SD, 17.7 ± 1.4 years; body mass index, <25 kg/m2 ). In the phantom study, there was no statistically significant difference between the angles measured by the 3D US imaging system and those measured by an angle gauge (P > 0.05). In the clinical study, there was very good interobserver and intraobserver reliability (intraclass correlation coefficients, >0.90) for the US imaging system, with a high correlation (r2 = 0.92) and agreement between the US and radiographic methods. CONCLUSIONS: The long-distance 3D US imaging system offers a viable modality for diagnosing and monitoring scoliosis without radiation.

Diagnosis of left ventricular hypertrophy using convolutional neural network.

BACKGROUND: Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, and then mark two key points on both sides of the posterior wall of the left ventricle with their own experience for computer measurement. In the actual measurement, the doctor's selection point is subjective, and difficult to accurately locate the edge, which will bring errors to the measurement results. METHODS: In this paper, a convolutional neural network model of left ventricular posterior wall positioning was built under the TensorFlow framework, and the target region images were obtained after the positioning results were processed by non-local mean filtering and opening operation. Then the edge detection algorithm based on threshold segmentation is used. After the contour was extracted by adjusting the segmentation threshold through prior analysis and the OTSU algorithm, the design algorithm completed the computer selection point measurement of the thickness of the posterior wall of the left ventricle. RESULTS: The proposed method can effectively extract the left ventricular posterior wall contour and measure its thickness. The experimental results show that the relative error between the measurement result and the hospital measurement value is less than 15%, which is less than 20% of the acceptable repeatability error in clinical practice. CONCLUSIONS: Therefore, the measurement method proposed in this paper has the advantages of less manual intervention, and the processing method is reasonable and has practical value.

Diagnostic Value of Transthoracic Echocardiography Combined With Contrast-Enhanced Ultrasonography in Mediastinal Masses.

OBJECTIVES: Multiple types of mediastinal masses, especially masses in the anterior mediastinum, may be encountered in routine echocardiographic examinations for symptomatic or asymptomatic patients. The aim of this study was to evaluate the diagnostic value of transthoracic echocardiography combined with contrast-enhanced ultrasonography in determining the location, composition, and vascularization of mediastinal masses. METHODS: A retrospective analysis was conducted on 48 consecutive patients who first had a diagnosis of mediastinal masses by echocardiography. The location of the mass, tissue components, and relationships with the heart and great vessels were analyzed on the basis of multiple transthoracic echocardiographic views. Further contrast-enhanced ultrasonography was performed to determine the vascularization of masses in 25 patients. The clinical, computed tomographic, and histopathologic findings were all recorded and analyzed. RESULTS: The localization, ultrasonographic characteristics of the mass, degree of vascularization, and relationships with the heart and great vessels assessed on echocardiography allowed a correct diagnosis in most of the cases. CONCLUSIONS: Transthoracic echocardiography is a useful method for diagnosing mediastinal. Further contrast-enhanced ultrasonography could provide more details on the degree of vascularization, which could facilitate accurate diagnosis and differentiation diagnosis.

Systolic anterior motion mediated mitral regurgitation and surgical management in hypertrophic obstructive cardiomyopathy.

Mitral regurgitation (MR) mediated by systolic anterior motion (SAM) is a typical manifestation in patients with hypertrophic obstructive cardiomyopathy (HOCM). Although septal myectomy (SM) is currently the preferred treatment for patients with drug-refractory HOCM. Surgical management of associated MR remains controversial. Whether SM alone or additional valve procedures are required to correct significant MR depends largely on each individual pathophysiology. For intervention purposes, it is important to identify the real SAM-mediated MR and clarify the mitral structural abnormalities, as well as the other conditions, which may alert mitral valve (MV) competence. As a first-line imaging modality in the management of hypertrophic cardiomyopathy, echocardiography could provide crucial information for surgical decision-making. In this article, we focus on elucidating the typical echocardiographic features of SAM-mediated MR and offer the assessment process to determine other contributors to obstruction and MR. Additionally, guidance for surgical decision-making for MR in HOCM patients is been discussed.

Incremental Prognostic Value of Carotid Plaque-RADS Over Stenosis Degree in Relation to Stroke Risk.

BACKGROUND: Recently, a standardized classification system for carotid atherosclerotic plaques, known as Carotid Plaque-RADS (Reporting and Data System), has been introduced. However, its capacity to improve stroke risk stratification beyond traditional stenosis degree assessment has not been extensively explored. OBJECTIVES: This study aimed to determine the incremental prognostic value of Carotid Plaque-RADS over stenosis degree for stroke risk. METHODS: A retrospective analysis was performed on data from January 2010 to December 2021, involving subjects who underwent magnetic resonance imaging, computed tomography angiography, and ultrasound evaluations of the carotid artery. Disease-free survival (DFS) and recurrence-free survival (RFS) rates were compared across different stenosis degrees, Carotid Plaque-RADS categories, and their combination, using the Kaplan-Meier and net reclassification improvement formula. RESULTS: The study enrolled 1,378 subjects. During a follow-up period of 57 ± 25 months, 4.6% of 987 asymptomatic individuals and 16.9% of 391 subjects with stroke history experienced initial and recurrent strokes, respectively. Significant differences in DFS and RFS rates were found between subjects with mild/moderate and severe stenosis (P < 0.001). Significant differences in DFS rates were observed across Carotid Plaque-RADS categories (P < 0.001), with a notable decrease in DFS rates as Carotid Plaque-RADS categories increased from 1 to 4. This trend was similar in subjects with a history of stroke (P < 0.001). For patients with mild/moderate stenosis, significant differences in DFS and RFS rates were found between those with Carotid Plaque-RADS of ≥3 vs <3 (P < 0.001). Correct reclassification was achieved for 3.3% (32 of 979) of asymptomatic individuals and 9.7% (37 of 381) of subjects with a stroke history initially identified with mild/moderate stenosis. Incorporating Carotid Plaque-RADS with stenosis grading markedly improved risk assessment, resulting in net reclassification improvement of 63.8% for initial stroke and 47.8% for recurrent stroke prediction. The likelihood ratio test demonstrated that Carotid Plaque-RADS scores significantly enhanced the prognostic accuracy of stenosis degrees for both asymptomatic individuals and patients with a history of stroke (both P < 0.001). CONCLUSIONS: Carotid Plaque-RADS significantly improves stroke risk stratification over traditional stenosis grading, especially in mild/moderate stenosis cases.

Clinical Implications of Left Ventricular Apex Mechanics in Patients With Apical Hypertrophic Cardiomyopathy.

BACKGROUND: Apical hypertrophic cardiomyopathy (ApHCM) is a unique disease with pathologic hypertrophy mainly at the left ventricular (LV) apex. Although previous studies have indicated apical dysfunction in ApHCM, how apical mechanics change during disease progression has not been thoroughly examined. The aims of this study were to characterize the mechanics of the LV apex in patients with ApHCM at different disease stages and to explore the clinical significance of these alterations. METHODS: One hundred four patients with ApHCM were divided into three subtypes on the basis of LV apical maximum wall thickness (AMWT) and extent of hypertrophy: relative type (isolated apical hypertrophy with AMWT < 15 mm), pure type (isolated apical hypertrophy with AMWT ≥ 15 mm), and mixed type (both apical and midventricular hypertrophy with AMWT ≥ 15 mm). Two-dimensional speckle-tracking echocardiography was used to analyze LV segmental strain, global strain, and twist. Comparisons of these parameters were performed among ApHCM subtypes and 30 healthy control subjects. Logistic regression and Cox proportional-hazards regression analyses were used to explore associations between myocardial mechanics and clinical indicators. A composite outcome of new-onset atrial fibrillation, heart failure hospitalization, myectomy, and all-cause mortality was assessed. RESULTS: Even in relative ApHCM patients, apical longitudinal strain (LS), circumferential strain, and radial strain (RS) were significantly impaired compared with control subjects (LS: -14.6 ± 4.1% vs -20.0 ± 1.7% [P = .001]; circumferential strain: -19.6 ± 2.5% vs -25.6 ± 3.7% [P = .002]; RS: 26.6 ±7.4% vs 35.6 ± 11.1% [P = .026]), while apical rotation and LV twist remained unchanged. In patients with greater apical hypertrophy (mixed and pure patients), apical LS and RS were more abnormal. Moreover, apical rotation showed significant reductions compared with relative-type patients. After adjusting for clinical and myocardial mechanical parameters, apical rotation was independently associated with New York Heart Association functional class ≥ II (odds ratio, 0.81; 95% CI, 0.66-0.99; P = .036) and the composite outcome (hazard ratio, 0.82; 95% CI, 0.73-0.91; P = .001). CONCLUSIONS: Relative ApHCM demonstrates apical dysfunction but sparing of apical rotation, which was abnormal in more extensive phenotypes. LV apex mechanics were closely related to clinical patterns, with apical rotation correlated with both New York Heart Association functional class ≥ II and clinical events.

Improvements of myocardial strain and work in diabetes patients with normal ejection fraction after empagliflozin treatment.

AIMS/INTRODUCTION: To assess the effect of empagliflozin treatment on left ventricular (LV), right ventricular (RV) and left atrial (LA) functions in diabetes patients with normal ejection fraction. MATERIALS AND METHODS: The study included a total of 128 diabetes patients with multiple cardiovascular risk factors who were subjected to a 6-month follow up from the initiation of empagliflozin treatment. Before and after treatment with empagliflozin, LV, RV and LA strain, and noninvasive myocardial work parameters were evaluated by speckle tracking echocardiography. RESULTS: In 128 diabetes patients (mean age 56 ± 8 years, 85 men) with multiple cardiovascular risk factors, myocardial strain and work parameters were impaired, despite the absence of significant clinical symptoms of heart failure. After 6-month treatment with empagliflozin, the absolute value of LV strain in all directions increased, represented by LV global longitudinal strain (-18.0 ± 1.7% to -19.2 ± 1.7% [mean ± SD]). The same trend in LV global work efficiency (93 [91-94] % to 94 [93-95] % [median (IQR)]), RV free-wall longitudinal strain (-24.0 ± 2.7% to -25.0 ± 2.8%), LA reservoir (31 ± 5% to 34 ± 5%) and conduit strain (-14 ± 4% to -16 ± 4%) was also observed. LV mass index (106.9 ± 16.8-103.6 ± 16.4 g/m2) and LV global wasted work (143 [111-185] mmHg% to 108 [88-141] mmHg%) decreased after treatment (P < 0.05 for all). LV volume and LA volume index remained unchanged after treatment. In the multivariable analysis, the change in LA reservoir strain (ß = 0.050, P = 0.035) and baseline global longitudinal strain (ß = -0.488, P < 0.001) were independent predictors of improvement in LV global longitudinal strain. CONCLUSIONS: This study suggests that 6-month treatment with empagliflozin improved LV, RV and LA functions in diabetes patients with normal ejection fraction.

Relative apical sparing obtained with speckle tracking echocardiography is not a sensitive parameter for diagnosing light-chain cardiac amyloidosis.

Background: Distinguishing light-chain cardiac amyloidosis (AL CA) from left ventricular wall thickening (LVWT) resulted from other etiologies has proven to be challenging. This study aimed to determine the sensitivity and specificity of relative apical sparing in diagnosing AL CA and investigate the differences in clinical and echocardiographic characteristics between AL CA patients with apical sparing and those with non-apical sparing. Methods: A total of 63 consecutive patients with AL CA, 102 consecutive patients with LVWT (including 51 hypertrophic cardiomyopathy (HCM) and 51 hypertension) and 33 healthy individuals were recruited retrospectively at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. Conventional and speckle tracking echocardiography were performed on all subjects. Results: Although wall thickening was observed in all patients, almost all functional parameters were worse in AL CA, except for relative apical longitudinal strain (LS) (P=0.906). Of 63 patients with AL CA, only 17.5% (n=11) showed an apical sparing pattern. Patients with apical sparing had poorer cardiac performance than those with non-apical sparing. Relative apical sparing showed the lowest diagnostic accuracy with an area under the curve (AUC) of 0.58 [95% confidence interval (CI): 0.49-0.67, sensitivity: 17.5%, specificity: 98.0%, P=0.095] to detect AL CA, but right ventricular strain (RVS) (AUC: 0.86, P<0.001) showed the highest among all echocardiographic parameters. When diagnosing AL CA patients with non-apical sparing, RVS continued to maintain excellent diagnostic accuracy (AUC: 0.84, P<0.001), followed by left atrial reservoir strain (LASr) (AUC: 0.77, P<0.001). Conclusions: The diagnostic value of relative apical sparing for AL CA was limited with low sensitivity. In clinical practice, the diagnosis of early AL CA patients should not solely rely on relative apical sparing.

A Radiomics-Based Nomogram Using Ultrasound Carotid Plaque Evaluation For Predicting Cerebro-Cardiovascular Events In Asymptomatic Patients.

RATIONALE AND OBJECTIVES: This study aims to assess whether a radiomics-based nomogram correlates with a higher risk of future cerebro-cardiovascular events in patients with asymptomatic carotid plaques. Additionally, it investigates the nomogram's contribution to the revised Framingham Stroke Risk Profile (rFSRP) for predicting cerebro-cardiovascular risk. MATERIALS AND METHODS: Predictive models aimed at identifying an increased risk of future cerebro-cardiovascular events were developed and internally validated at one center, then externally validated at two other centers. Survival curves, constructed using the Kaplan-Meier method, were compared through the log-rank test. RESULTS: This study included a total of 2009 patients (3946 images). The final nomogram was generated using multivariate Cox regression variables, including dyslipidemia, lumen diameter, plaque echogenicity, and ultrasonography (US)-based radiomics risk. The Harrell's concordance index (C-index) for predicting events-free survival (EFS) was 0.708 in the training cohort, 0.574 in the external validation cohort 1, 0.632 in the internal validation cohort, and 0.639 in the external validation cohort 2. The final nomogram showed a significant increase in C-index compared to the clinical, conventional US, and US-based radiomics models (all P < 0.05). Furthermore, the final nomogram-assisted method significantly improved the sensitivity and accuracy of radiologists' visual qualitative score of plaque (both P < 0.001). Among 1058 patients with corresponding 1588 plaque US images classified as low-risk by the rFSRP, 75 (7.1%) patients with corresponding 93 (5.9%) carotid plaque images were appropriately reclassified to the high-risk category by the final nomogram. CONCLUSION: The radiomics-based nomogram demonstrated accurate prediction of cerebro-cardiovascular events in patients with asymptomatic carotid plaques. It also improved the sensitivity and accuracy of radiologists' visual qualitative score of carotid plaque and enhanced the risk stratification ability of rFSRP. SUMMARY: The radiomics-based nomogram allowed accurate prediction of cerebro-cardiovascular events, especially ipsilateral ischemic stroke in patients with asymptomatic carotid atherosclerotic plaques. KEY RESULTS: The radiomics-based nomogram allowed accurate prediction of cerebro-cardiovascular events, especially ipsilateral ischemic stroke in patients with asymptomatic carotid atherosclerotic plaques. The radiomics-based nomogram improved the sensitivity and accuracy of radiologists' visual qualitative score of carotid plaque. The radiomics-based nomogram improved the discrimination of high-risk populations from low-risk populations in asymptomatic patients with carotid atherosclerotic plaques and the risk stratification capability of the rFSRP.

Ultrasound strain elastography to improve diagnostic performance of breast lesions by reclassifying BI-RADS 3 and 4a lesions: a multicenter diagnostic study.

OBJECTIVE: To investigate the added value of strain elastography (SE) by recategorizing ultrasound (US) Breast Imaging Reporting and Data System (BI-RADS) 3 and 4a lesions. METHODS: A total of 4371 patients underwent US and SE with BI-RADS 2-5 categories solid breast lesions were included from thirty-two hospitals. We evaluated the elastographic images according to elasticity scores (ES) and strain ratios (SR). Three combined methods (BI-RADS+ES, BI-RADS+SR, BI-RADS+ES+SR) and two reclassified methods were used (method one: upgrading BI-RADS 3 and downgrading BI-RADS 4a, method two: downgrading BI-RADS 4a alone). The diagnostic performance and the potential reduction of unnecessary biopsies were evaluated. RESULTS: Combining BI-RADS with SE had a higher area under the curve (AUC) than BI-RADS alone (0.822-0.898 vs. 0.794, P<0.01). For reclassified method one, the sensitivity, specificity, and accuracy were 99.36%, 66.70%, 78.36% for BI-RADS+ES and 98.01%, 66.45%, 77.72% for BI-RADS+SR, and 99.42%, 66.70%, 78.38% for BI-RADS+ES+SR, respectively. For reclassified method two, the sensitivity, specificity, and accuracy were 99.17%, 70.72%, 80.87% for BI-RADS+ES and 97.76%, 81.75%, 87.46% for BI-RADS+SR, and 99.23%, 69.83%, 80.32% for BI-RADS+ES+SR, respectively. Downgrading BI-RADS 4a alone had higher AUC, specificity, and accuracy (P<0.01) and similar sensitivity (P>0.05) to upgrading BI-RADS 3 and downgrading BI-RADS 4a. Combining SE with BI-RADS could help reduce unnecessary biopsies by 17.64%-55.20%. CONCLUSIONS: Combining BI-RADS with SE improved the diagnostic performance in distinguishing benign from malignant lesions and could decrease false-positive breast biopsy rates. Downgrading BI-RADS 4a lesions alone might be sufficient for achieving good diagnostic performance. ADVANCES IN KNOWLEDGE: Downgrading BI-RADS category 4a lesions alone had higher AUC, specificity, and accuracy, and similar sensitivity to upgrading or downgrading BI-RADS category 3 and 4a lesions.

Use of carotid plaque neovascularization at contrast-enhanced US to predict coronary events in patients with coronary artery disease.

PURPOSE: To determine whether carotid plaque neovascularization as assessed with contrast-enhanced ultrasonography (US) can help predict future coronary events in patients with stable coronary artery disease (CAD). MATERIALS AND METHODS: The study was approved by the hospital ethics committee, and informed consent was obtained from all patients. Three hundred twelve consecutive patients (228 men; mean age, 63 years ± 9; age range, 42-88 years) with both CAD and at least one carotid plaque thicker than 2.0 mm underwent both standard and contrast-enhanced carotid US. Patients with stable CAD were followed up for 8-47 months (mean, 33 months ± 9) or until a coronary event occurred. Statistical analysis was performed with the Student t test, χ(2) analysis, Kaplan-Meier method, and Cox proportional hazards regression models. RESULTS: Contrast material enhancement of plaque was seen in 42 of 51 patients (82%) with acute coronary syndrome (ACS) and 114 of 261 patients (43.7%) with stable CAD (P < .001). Coronary events occurred during the follow-up period in 24 of 111 patients (21.6%) with contrast material enhancement of plaque and only seven of 137 patients (5.1%) without enhancement (P< .001). In 248 patients with stable CAD and follow-up, Kaplan-Meier analysis demonstrated a significantly higher probability of developing coronary events in patients with contrast material enhancement of plaque than in those without contrast material enhancement (P < .001). The presence of contrast material enhancement of plaque was a significant and independent predictor of future coronary events in patients with stable CAD (odds ratio: 3.90; 95% confidence interval: 1.60, 9.46; P = .003). CONCLUSION: Contrast material enhancement of plaque is more common in patients with ACS than in those with stable CAD and is a significant and independent predictor of future coronary events in patients with stable CAD, suggesting that noninvasive contrast-enhanced carotid US may be used as a method for risk stratification of patients with stable CAD.

Correlation between enhanced intensity of atherosclerotic plaque at contrast-enhanced ultrasonography and density of histological neovascularization.

The feasibility of contrast-enhanced ultrasonography in the assessment of atherosclerotic plaque neovascularization and its relation to histological findings were investigated. Abdominal aortic atherosclerotic plaque model was induced in 25 New Zealand white rabbits by a combination of high cholesterol-rich diet and balloon aortic denudation. Standard and contrast-enhanced ultrasonography was performed at the 16th week of the model induction period. The plaques were classified as echogenic plaques or echolucent plaques according to their echogenicity at standard ultrasonography. The maximum thickness of plaque was measured in the longitudinal section. Time intensity curve was used to quantify the enhanced intensity of the plaque. Animals were euthanized and abdominal aortas were harvested for histological staining of CD31 to evaluate the neovascularization density of atherosclerotic plaque. The results showed that the echolucent plaques had higher enhanced intensity during contrastenhanced ultrasonography and higher neovascularization density at CD31 staining than the echogenic plaques. The enhanced intensity of atherosclerotic plaque and its ratio to lumen were well correlated with histological neovascularization density (r=0.75, P<0.001; r=0.68, P<0.001, respectively). However, the maximum thickness of plaque was not correlated with neovascularization density (r=0.235, P=0.081). These findings demonstrated that the enhanced intensity in the plaque and ratio of enhanced intensity to that in the lumen of abdominal aorta may be more accurate in the evaluation of plaque neovascularization than maximum thickness. Our study indicates that contrast-enhanced ultrasonography provides us a reliable method for the evaluation of plaque neovascularization.