CJMRI

CJMRI is a monthly journal devoted to MRI clinical diagnosis and allied sciences. CJMRI publishes full-English pape and Chinese papers with English abstract.

[CJMRI @CJMRI_2010]

This study reveals that patients with early diabetic kidney disease may experience neuro-functional disorders in the visually related brain regions, and the imbalance in the functional integration of these brain regions may exacerbate cognitive impairment.
https://t.co/zVxTne1GtR

[CJMRI @CJMRI_2010]

The #rtfMRI-NF intervention may ameliorate poor eating habits in obese patients by altering functional connectivity of the nucleus ambiguus with distributed brain regions of cognitive control, attentional bias, and emotional memory.
https://t.co/JXV7O0jMEx

[CJMRI @CJMRI_2010]

#SSFSE-DLR images significantly improved the display of ovarian morphology and the repeatability of follicle counting, thereby fortifying the reliability of future polycystic ovary morphology determinations.
https://t.co/dimwQPKnn0

[CJMRI @CJMRI_2010]

#DL Recon can significantly improve the image quality of rapidly acquired breast MRI sequences while shortening scan time across different modalities. This advancement is beneficial for promoting the clinical application of fast breast #MRI sequences.
https://t.co/j4ryj3QDHb

[CJMRI @CJMRI_2010]

#DLR improved the image quality of orbital DWI without increasing scan time. Compared to ConR, #ADC values obtained based on DLR DWI were improved in identifying the activity of thyroid-associated ophthalmopathy (#TAO) and correlation with #CAS.
https://t.co/VnbsSnMqfn

[CJMRI @CJMRI_2010]

DL-TSE sequence uses the original K-space data DL Recon reconstruction algorithm to improve the SNR and CNR of sequence images of rectal cancer patients, and can shorten the scanning time by 36.6%, while ensuring the image quality and lesion detectability.
https://t.co/xoCU60I105

[CJMRI @CJMRI_2010]

ResNet-50 model has the best performance in differential diagnosis of benign and malignant breast tumors, and visual images may become the basis of imaging diagnosis.
https://t.co/wKMN9cyfP3

[CJMRI @CJMRI_2010]

#DLR #DWI significantly improves overall image quality and enhances the #SNR of images, offering superior diagnostic performance for distinguishing benign from malignant lesions compared to ConR DWI.
https://t.co/MduJSmdHHB

[CJMRI @CJMRI_2010]

The signal threshold versus reference mean (#STRM) selection for deep learning reconstruction (#DLR)-based late gadolinium enhancement (#LGEDL) #MRI helps improve clinical decision-making in patients with unrecognized myocardial infarction (#UMI).
https://t.co/pc5yeNbTQA

[CJMRI @CJMRI_2010]

#DLR technology could shorten the scanning time of conventional #FSE-PD MRI of the #TMJ, enhance image quality, and help patients complete the examination faster.
https://t.co/DVDMZVbF0r

[CJMRI @CJMRI_2010]

Kaposiform hemangioendothelioma of spleen with liver metastasis: One case report and literature review
https://t.co/RQyGKDlXZe

[CJMRI @CJMRI_2010]

Compared with #HBW and Dixon sequences, #CS-SEMAC sequence can effectively reduce the metal artifacts around the implant, and significantly improve the image quality and fat inhibition effect of T2 lipid suppression sequence.
https://t.co/cSjbI87ZW8

[CJMRI @CJMRI_2010]

The conventional MRI findings of children with SMA are mainly muscle atrophy and fat infiltration, and the fat infiltration is progressive, and the muscle involvement pattern and severity of children with SMA are different in different clinical phenotypes.
https://t.co/IMwcZJoQhs

[CJMRI @CJMRI_2010]

Machine learning-based radiomics model is helpful for the prediction of #DFS and immune levels in endometrial cancer patients. The combination of radiomics and clinical indicators can further improve the accuracy of prediction.
https://t.co/sEJExatXGt

[CJMRI @CJMRI_2010]

The combined model constructed by #ADCmin and clinical and imaging features can effectively predict the clinical efficacy of #HIFU in the treatment of uterine fibroids, and can offer valuable insights for formulating clinical treatment strategies.
https://t.co/1GA43uujwU

[CJMRI @CJMRI_2010]

The quantitative parameters of #DCE-MRI combined with #ADC values show high diagnostic efficacy in predicting #Ki-67 expression and Gleason score in #PCa.
https://t.co/VUFcFDJA9I

[CJMRI @CJMRI_2010]

High b-value #DWI generated based on the diffusion model can significantly improve the diagnostic efficacy of local recurrence after radical treatment of #ProstateCancer.
https://t.co/gIIS2tlJ9H

[CJMRI @CJMRI_2010]

The full volume quantitative parameters of #IVIM can reflect the pathological characteristics of rectal adenocarcinoma to a certain extent, and can be used as an imaging index for preoperative assessment of the biological behavior of rectal adenocarcinoma.
https://t.co/8CrgiURtei

[CJMRI @CJMRI_2010]

#CMR technology has high evaluation value in left atrium (#LA)myocardial deformation in hypertrophic cardiomyopathy (#HCM) patients. By evaluating LA myocardial deformation, it can assist in the diagnosis of HCM and also evaluate their cardiac function.
https://t.co/eVHQEeAuQ6

[CJMRI @CJMRI_2010]

#CMR-FT technique can quantitatively evaluate left ventricular myocardial strain in over-drinkers. The average daily alcohol consumption and drinking time are important factors influencing the degree of left ventricular myocardial strain injury.
https://t.co/UYJCZaBQ7L