98%
921
2 minutes
20
There is evidence that physiological or pathological cell swelling is associated with a decrease of the apparent diffusion coefficient (ADC) of water in tissues, as measured with MRI. However the mechanism remains unclear. Magnetic resonance microscopy, performed on small tissue samples, has the potential to distinguish effects occurring at cellular and tissue levels. A three-dimensional diffusion prepared fast imaging with steady-state free precession sequence for MR microscopy was implemented on a 17.2 T imaging system and used to investigate the effect of two biological challenges known to cause cell swelling, exposure to a hypotonic solution or to ouabain, on Aplysia nervous tissue. The ADC was measured inside isolated neuronal soma and in the region of cell bodies of the buccal ganglia. Both challenges resulted in an ADC increase inside isolated neuronal soma (+31 ± 24% and +30 ± 11%, respectively) and an ADC decrease at tissue level in the buccal ganglia (-12 ± 5% and -18 ± 8%, respectively). A scenario involving a layer of water molecules bound to the inflating cell membrane surface is proposed to reconcile this apparent discrepancy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/nbm.3061 | DOI Listing |
Eur J Nucl Med Mol Imaging
September 2025
Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, 168 Changhai Road, Yang Pu District, Shanghai, 200433, China.
Purpose: In this retrospective study, whether [Ga]Ga-DOTA-FAPI-04 PET/MR imaging biomarkers can predict the progression-free survival (PFS) and overall survival (OS) of patients with advanced pancreatic cancer was investigated.
Methods: Fifty-one patients who underwent [Ga]Ga-DOTA-FAPI-04 PET/MR scans before first-line chemotherapy were recruited. Imaging biomarkers, including the maximum tumor diameter, minimum apparent diffusion coefficient (ADC), maximum and mean standardized uptake values (SUV and SUV), fibroblast activation protein- (FAP-) positive tumor volume (FTV and W-FTV) and total lesion FAP expression (TLF and W-TLF), were recorded for primary and whole-body tumors.
Zhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou 450003, China.
To investigate the clinicopathological features, genetic characteristics, and differential diagnosis of glomangiomatosis with uncertain malignant potential. Two cases of glomangiomatosis with uncertain malignant potential were collected at Henan Provincial People's Hospital from 2013 and 2023. Immunohistochemistry and next generation sequencing (DNA-seq) were used to detect the related protein and gene variation.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
Purpose: To develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).
Methods: Clinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. Patients were divided into training (n = 186) and validation (n = 124) cohorts.
ACS Omega
September 2025
Florida A&M University-Florida State University College of Engineering, 2525 Pottsdamer Street, Tallahassee, Florida 32310-6046, United States.
This study presents a comprehensive analysis of the swelling behavior of poly-(ethylene glycol) (PEG)-based hydrogels of different molecular weights under various conditions. The rheological response and swelling kinetics of PEG hydrogels with molecular weight between cross-links ranging from 700 to 10 000 g/mol reveal the connection between architecture and material properties that are important for soft actuators. In addition to providing insight into the network structure and cross-linking density, rheological measurements find that the shear moduli of the networks increase with the degree of water swelling.
View Article and Find Full Text PDFOncol Lett
November 2025
Department of Radiology, Zibo Central Hospital, Zibo, Shandong 255020, P.R. China.
Clear cell renal cell carcinoma (ccRCC) is a malignant tumor, originating from the renal epithelium, and accounts for ~85% of RCC cases. The present study aimed to validate the efficacy of an MRI deep learning (DL) model to preoperatively predict the pathological grading of ccRCC. Therefore, a DL algorithm was constructed and trained using diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) sequence images.
View Article and Find Full Text PDF