Aims: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging can detect myocardial scar in patients with myocardial infarction. The detection of papillary muscle infarction (PMI) may be difficult due to the bright blood signal. The aim of our study was to evaluate the incremental value of LGE CMR imaging using an inversion recovery (IR)-GRE with a short-inversion time (TI) over standard LGE imaging in identifying PMI.
Methods And Results: Fifty-six patients with myocardial infarction were studied using a standard IR-GRE LGE sequence with an adjusted TI to null the signal intensity of normal myocardium and with a 3D IR-GRE with a short TI (<180 ms). Signal-to-noise and contrast-to-noise ratios (CNR) and the frequency of PMI were determined. Image quality and infarction sharpness were evaluated. The short-TI LGE sequence detected a higher number of PMI compared with standard LGE sequence (19/54 vs. 15/54) with an increased sharpness of PMI (84.2 vs. 53.3%). The CNR was higher between infarcted myocardium and blood (77.9 ± 60 vs. 19.3 ± 16, P < 0.001) and between PMI and blood (69.4 ± 51 vs. 39.4 ± 26, respectively, P = 0.0157).
Conclusions: Our data indicate that in patients with myocardial infarction, LGE CMR imaging using a short TI may be more sensitive than standard LGE imaging for the detection of PMI.
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http://dx.doi.org/10.1093/ehjci/jes210 | DOI Listing |
Hua Xi Kou Qiang Yi Xue Za Zhi
February 2025
Dept. of Cariology and Endodontics, Binzhou Medical University Hospital, Binzhou 256600, China.
Objectives: The mechanism of the odontogenic differentiation of apical papillary cells (APCs) stimulated by bioactive glass 45S5 is still unclear. This study aims to investigate the effect of autophagy on the odontogenic differentiation of APCs stimulated by bioactive glass 45S5.
Methods: APCs were isolated and cultured , and the cell origin was identified by flow cytometry.
Discov Oncol
January 2025
Department of Anesthesiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.1367 Wenyi West Road, Yuhang District, Hangzhou, 311100, People's Republic of China.
The work is aimed to investigate whether midazolam functions in thyroid cancer and reveal the potential mechanism of action. Cell viability was detected by CCK-8 method when treated by varying doses of midazolam to detect the cytotoxicity of midazolam on human thyroid follicular epithelial cell line and thyroid cancer cell lines. In thyroid cancer cells, EDU staining, wound healing and transwell assays were respectively used to detect cell proliferation, migration and invasion.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Breast Surgery, Cheeloo College of Medicine, Qilu Hospital (Qingdao), Shandong University, 758 Hefei Road, Qingdao, 266000, Shandong, China.
With the popularity of breast screening, more and more intraductal papillary lesions (IDPL)were detected by ultrasound or mammography, which is a spectrum of diseases ranging from benign to malignant lesions. Patients with pathological nipple discharge (PND) may indicate IDPL, but it is difficult to clarify their biological characteristics before the operation. As to patients with IDPL without PND, it is even an enormous challenge to differentiate their benign or malignant characteristics.
View Article and Find Full Text PDFJ Neurosurg Case Lessons
January 2025
Department of Neurological Surgery, University of California, San Diego, La Jolla, California.
Background: Rathke cleft cysts (RCCs) are benign sellar/suprasellar lesions that result from mucin-secreting vestigial remnants within the pars intermedia of the pituitary gland. When symptomatic, they can present with retro-orbital headaches, visual field defects, and/or pituitary dysfunction.
Observations: A 35-year-old female presented with subacute retro-orbital headache, right ptosis, and blurred vision.
Background: Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management of intraductal papillary mucinous neoplasm (IPMN) largely depends on imaging features. While these criteria are highly sensitive in detecting high-risk IPMN, they lack specificity, resulting in surgical overtreatment. Artificial Intelligence (AI)-based medical image analysis has the potential to augment the clinical management of IPMNs by improving diagnostic accuracy.
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