Background: Contrast echocardiography improves accuracy and reduces interreader variability on left ventricular (LV) functional analyses in the setting of two-dimensional (2D) echocardiography. The need for contrast imaging using three-dimensional (3D) echocardiography is less defined. The aim of this multicenter study was to define the accuracy and interreader agreement of unenhanced and contrast-enhanced 2D and 3D echocardiography for the assessment of LV volumes and ejection fraction (EF).
Methods: A multicenter, open-label study was conducted including 63 patients, using intrasubject comparisons to assess the agreement of unenhanced and contrast-enhanced 2D and 3D echocardiography as well as calibrated biplane cine ventriculography with cardiac magnetic resonance for the determination of LV volumes and EF. Each of the imaging techniques used to define LV function was assessed by two independent, off-site readers unaware of the results of the other imaging techniques.
Results: LV end-systolic and end-diastolic volumes were underestimated by 2D and 3D unenhanced echocardiography compared with cardiac magnetic resonance. Contrast enhancement resulted in similar significant increases in LV volumes on 2D and 3D echocardiography. The mean percentage of interreader variability for LV EF was reduced from 14.3% (95% confidence interval [CI], 11.7%-16.8%) for unenhanced 2D echocardiography and 14.3% (95% CI, 9.7%-18.9%) for unenhanced 3D echocardiography to 8.0% (95% CI, 6.3%-9.7%; P < .001) for contrast-enhanced 2D echocardiography and 7.4% (95% CI, 5.7%-9.1%; P < .01) for contrast-enhanced 3D echocardiography and thus to a similar level as for cardiac magnetic resonance (7.9%; 95% CI, 5.4%-10.5%). A similar effect was observed for interreader variability for LV volumes.
Conclusions: Contrast administration on 3D echocardiography results in improved determination of LV volumes and reduced interreader variability. The use of 3D echocardiography requires contrast application as much as 2D echocardiography to reduce interreader variability for volumes and EF.
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http://dx.doi.org/10.1016/j.echo.2013.12.005 | DOI Listing |
In Vivo
December 2024
Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany;
Background/aim: The recently published Node-Reporting and Data System (Node-RADS) can aid the characterization of lymph nodes in cross-sectional imaging. This study investigated the Node-RADS system in computed tomography (CT) to characterize lymph nodes in esophageal cancer.
Patients And Methods: Overall, 126 patients (15 female, 11.
Eur Radiol
December 2024
Department of Radiological Sciences, Oncology and Pathology, Sapienza University/Policlinico Umberto I, Rome, Italy.
Objective: The primary aim was to determine the performance of neoadjuvant chemotherapy VI-RADS (nacVI-RADS) in predicting response to systemic therapy in patients with MIBC and to evaluate its inter-reader agreement.
Materials And Methods: Prospective study, including patients with non-metastatic muscle-invasive bladder cancer (MIBC) who underwent neoadjuvant chemotherapy before radical cystectomy (RC). Patients underwent pre- and post-treatment MRI.
Eur Spine J
December 2024
Department of Neuroradiology, Centro Hospitalar Universitário de Santo António, Unidade Local de Saúde de Santo António, Porto, Portugal.
Background: The evaluation of lumbar spine degeneration on magnetic resonance imaging (MRI) is prone to inter-reader variability, including when assessing foraminal changes. This variability, often due to subjective criteria and inconsistent terminology, may affect clinical correlations. Standardized criteria could help improve agreement among readers.
View Article and Find Full Text PDFAJR Am J Roentgenol
December 2024
Department of Radiology, Research Institute of Radiology, Asan Medical Center, College of Medicine, University of Ulsan, Seoul, Republic of Korea.
Nonmass lesions (NMLs) on breast ultrasound lack clear definition and encompass a broad range of benign and malignant entities. Given anticipated inclusion of NMLs in the BI-RADS 6th edition, thorough understanding of these lesions will be critical for optimal management. To evaluate interreader agreement for classification of lesions on breast ultrasound as NMLs and to identify imaging features associated with malignancy in these lesions.
View Article and Find Full Text PDFJ Clin Med
December 2024
2nd Radiology Unit, Department of Diagnostic Imaging, Pisa University-Hospital, Via Paradisa 2, 56100 Pisa, Italy.
To investigate the relationship between COVID-19 pneumonia outcomes and three chest CT analysis approaches. Patients with COVID-19 pneumonia who underwent chest CT were included and divided into survivors/non-survivors and intubated/not-intubated. Chest CTs were analyzed through a (1) Total Severity Score visually quantified by an emergency (TSS1) and a thoracic radiologist (TSS2); (2) density mask technique quantifying normal parenchyma (DM_Norm 1) and ground glass opacities (DM_GGO1) repeated after the manual delineation of consolidations (DM_Norm2, DM_GGO2, DM_Consolidation); (3) texture analysis quantifying normal parenchyma (TA_Norm) and interstitial lung disease (TA_ILD).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!