Unmasking the Epicardial Adipose Tissue-Left Atrial Strain Nexus in HFpEF: A Potential Echocardiographic Signature of Cardiac Adaptation.

Purpose: This study aims to investigate the relationship between epicardial adipose tissue (EAT) and left atrial function in patients with preserved ejection fraction heart failure (HFpEF).

Methods: We conducted a cross-sectional study involving 113 patients diagnosed with HFpEF and 48 control subjects without heart failure. Echocardiography was performed to assess EAT thickness and left atrial function was quantified using Autostrain left atrium (LA), including left atrial strain during reservoir phase (LASr), left atrial strain during conduit phase (LAScd), and left atrial strain during contraction phase (LASct).

Echocardiography Diagnosis of Mitral Valve Aneurysm Complicated with Infective Endocarditis.

Mitral valve aneurysm (MVA) is a relatively rare but life-threatening condition that may occur as a complication of an infective endocarditis (IE) involved aortic valve. Rupture of the valve aneurysm is one of the most serious complications, which could result in severe mitral regurgitation and cause rapid hemodynamic deterioration, especially in heart failure patients. Timely diagnosis using echocardiography and appropriate treatments, such as invasive surgical repair or replacement of the valve, can effectively prevent catastrophic complications.

Ultrasound features combined with tumor-infiltrating lymphocytes for prediction of pathological response to neoadjuvant chemotherapy in breast cancer.

Aim: Neoadjuvant chemotherapy (NAC) plays an important role in the treatment and prognosis of breast cancer. The early identification of patients who can truly benefit from preoperative NAC is crucial in clinical practice. The purpose of this study was to explore whether the ultrasound features and clinical characteristics combined with tumor-infiltrating lymphocyte(TIL) levels can improve the performance of predicting NAC efficacy in breast cancer patients.

Ultrasound contrast-enhanced patterns of sentinel lymph nodes: predictive value for nodal status and metastatic burden in early breast cancer.

Background: In the post-Z0011 era, sentinel lymph node (SLN) status and metastatic burden determine whether axillary management entails conservative sentinel lymph node biopsy (SLNB) or radical axillary lymph node dissection (ALND) in breast cancer patients. However, SLN status and metastatic burden cannot be evaluated preoperatively in clinical practice. This study explored the predictive value of contrast-enhanced ultrasound (CEUS) patterns of SLN to assess the nodal status and metastatic burden in early breast cancer patients.

Predictive value of combining clinicopathological, multimodal ultrasonic characteristics in axillary lymph nodal metastasis burden of patients with cT1-2N0 breast cancer.

Objective: To improving diagnosis of axillary lymph node metastasis (ALNM), we assessed the value of combining clinicopathological, conventional ultrasound, SWE features in the cT1-2N0 breast cancer patients.

Methods: Retrospective analysis of 285 patients with cT1-2N0 breast cancer who underwent preoperative ultrasound examination of the lesion and axillary, with shear wave elastography (SWE) of the lesions. According to the postoperative pathological results, they were divided into ≤2 metastatic ALNs group (low nodal burden, LNB) and > 2 metastatic ALNs group (high nodal burden, HNB).

Ultrasound-based radiomics: current status, challenges and future opportunities.

Ultrasound (US) imaging is part of conventional medical imaging in clinical practice that is low-cost, non-ionizing, portable and capable of real-time image acquisition and display. However, in certain cases, US has limited sensitivity and specificity in differentiating between malignant and benign lesions. Ultrasound-based radiomics, as a new branch of radiomics, can provide additional features such as heterogeneity of lesions that are invisible to the naked eye, alone or in combination with demographic, histological, genomic or proteomic data, thereby improving the accuracy of US in diagnosis of disease.