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Noninvasive in vivo imaging of macrophages: understanding tumor microenvironments and delivery of therapeutics.
Biomark Res
January 2025
BK21 FOUR KNU Convergence Educational Program of Biomedical Sciences for Creative Future Talents, Department of Biomedical Sciences, School of Medicine, Kyungpook National University, Daegu, 41944, Korea.
Macrophages are pivotal in the body's defense and response to inflammation. They are present in significant numbers and are widely implicated in various diseases, including cancer. While molecular and histological techniques have advanced our understanding of macrophage biology, their precise function within the cancerous microenvironments remains underexplored.
View Article and Find Full Text PDFObstructive sleep apnea and structural and functional brain alterations: a brain-wide investigation from clinical association to genetic causality.
BMC Med
January 2025
Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, NO.28 Qiaozhong Mid Road, Guangzhou, Guangdong, 510160, China.
Background: Obstructive sleep apnea (OSA) is linked to brain alterations, but the specific regions affected and the causal associations between these changes remain unclear.
Methods: We studied 20 pairs of age-, sex-, BMI-, and education- matched OSA patients and healthy controls using multimodal magnetic resonance imaging (MRI) from August 2019 to February 2020. Additionally, large-scale Mendelian randomization analyses were performed using genome-wide association study (GWAS) data on OSA and 3935 brain imaging-derived phenotypes (IDPs), assessed in up to 33,224 individuals between December 2023 and March 2024, to explore potential genetic causality between OSA and alterations in whole brain structure and function.
PSMA PET/CT based multimodal deep learning model for accurate prediction of pelvic lymph-node metastases in prostate cancer patients identified as candidates for extended pelvic lymph node dissection by preoperative nomograms.
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
Purpose: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pelvic lymph node dissection (ePLND) by preoperative nomograms.
Methods: [Ga]Ga-PSMA-617 PET/CT scan of 116 eligible PCa patients (82 in the training cohort and 34 in the test cohort) who underwent radical prostatectomy with ePLND were analyzed in our study. The Med3D deep learning network was utilized to extract discriminative features from the entire prostate volume of interest on the PET/CT images.
[Value of comprehensive evaluation of bladder structure and function in children by multi-modal ultrasound].
Zhonghua Yi Xue Za Zhi
January 2025
Department of Urology, Henan Joint International Pediatric Urodynamic Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou450002, China.
To comprehensively evaluate the structure and function of the bladder wall in children using multi-modal ultrasound (MMU). A total of 110 children without urinary symptoms admitted to the First Affiliated Hospital of Zhengzhou University from January 2022 to June 2023 were included prospectively. MMU was performed and the vesical volume (VV), bladder wall thickness (BWT), shear wave velocity (SWV) of the anterior wall, resistance index (RI) and vascularization index (VI) were measured in the filled and emptied bladder respectively, and the ultrasound bladder compliance (UBC) was also calculated.
View Article and Find Full Text PDF[Predictive model for ejection fraction improvement at one year in patients with acute ST-segment elevation myocardial infarction complicated with heart failure with reduced ejection fraction].
Zhonghua Yi Xue Za Zhi
January 2025
Ningbo Hangzhou Bay Hospital(Ningbo Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai),Ningbo315336, China.
To develop a predictive model for improvement of ejection fraction 1 year after heart failure with reduced ejection fraction (HFrEF) following acute ST-segment elevation myocardial infarction (STEMI). This nested case-control study included STEMI patients diagnosed with HFrEF from a prospective multicenter multimodality imaging cohort between August 2014 and March 2021. Based on the improvement of left ventricular ejection fraction (LVEF) at baseline and 1-year follow-up, the patients were classified into the heart failure with improved ejection fraction (HFimpEF) group and the persistent HFrEF group.
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