Objectives: To evaluate whether quantitative susceptibility mapping (QSM) can be employed to detect abnormalities within normal-appearing basal ganglia on conventional MRI in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).
Methods: For 33 SLE patients (13 NPSLE and 20 non-NPSLE patients) and 23 age/sex-matched controls, two radiologists independently measured the mean QSM and R2* values in various brain structures that appeared to be normal on conventional MR images. These values in each brain structure were compared among the two SLE groups and controls.
Results: Regarding the putamen, the NPSLE patients showed significantly higher QSM values than the non-NPSLE patients and controls (p < 0.05). For the lateral globus pallidus, both SLE groups showed significantly higher QSM values than the controls (p < 0.05). The R2* values were not significantly different between both SLE groups. The NPSLE patients showed a significant correlation between the mean QSM values in putamen and the disease duration (r = 0.63, p < 0.05). For the interobserver agreement, the QSM value was superior to the R2* value (0.690 vs. 0.446, Kendall W value).
Conclusions: QSM can be used to identify increased susceptibility of the basal ganglia appearing to be normal on conventional MR images in NPSLE patients.
Key Points: • QSM values in the putamen are significantly higher in NPSLE than non-NPSLE. • NPSLE patients show correlation between QSM values in the putamen and disease duration. • QSM is more sensitive than R2* mapping for detecting subtle changes.
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http://dx.doi.org/10.1007/s00330-015-3929-3 | DOI Listing |
Methods Mol Biol
January 2025
Sainsbury Laboratory, University of Cambridge, Cambridge, UK.
Biotic stresses such as fungal pathogens significantly affect global crop yields. Understanding of the plant-pathogen interactions during root infection, especially in monocot crops, remains limited compared to fungal colonizations of dicots. The infection process of several cereal crop root-damaging fungi and oomycetes is highly similar to root infections by the pathogen model Phytophthora palmivora.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Embrapa Mandioca e Fruticultura, Rua Embrapa s/n CP 007, Bairro Chapadinha, Cruz das Almas 44380-000, Bahia, Brazil.
wilt is a soil borne fungal disease that has devastated banana production in plantations around the world. Most Cavendish-type bananas are susceptible to strains of f. sp.
View Article and Find Full Text PDFCurr Issues Mol Biol
December 2024
Embrapa Mandioca e Fruticultura, Cruz das Almas 44380-000, Bahia, Brazil.
This work aimed to evaluate the relative gene expression of the candidate genes , , , , and involved in the defense response to Black Sigatoka in banana cultivars Calcutta-4, Krasan Saichon, Grand Nain, and Akondro Mainty, by a quantitative real-time PCR. Biotic stress was imposed on 6-month-old plants during five sampling intervals under greenhouse conditions. The and genes were upregulated for the Calcutta-4- and Krasan Saichon-resistant cultivars, and were validated in this study.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
October 2024
Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Benggang (collapsing hill) erosion is one of the most serious ecological problems in the south of China. Understanding the relationship between Benggang erosion and landscape pattern is conducive to the study of Benggang occurrence and development from the perspective of landscape ecology, with great significance for Benggang prevention and ecological protection. We classified the Lanxi River Basin in Anxi County, Fujian Province into 32 small watersheds.
View Article and Find Full Text PDFNeurol Sci
December 2024
Department of Radiology, The First People's Hospital of Foshan, #81 North Lingnan Avenue, Foshan, Guangdong, China.
Background: Identifying Parkinson's disease (PD) during its initial phases presents considerable hurdles for clinicians.
Purpose: To examine the feasibility and efficacy of a machine learning model based on quantitative multiparametric magnetic resonance imaging (MRI) features in identifying early-stage PD.
Methods: We recruited 33 participants, including 19 with early-stage PD, 14 with advanced-stage PD and 20 healthy control subjects.
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