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1.
Clin Radiol ; 78(1): 40-46, 2023 01.
Article in English | MEDLINE | ID: mdl-36198513

ABSTRACT

AIM: To investigate the clinical and CT features of invasive and non-invasive Klebsiella pneumoniae liver abscesses (KPLA). MATERIALS AND METHODS: Fifty-one patients with KPLA diagnosis including 26 invasive and 25 non-invasive KPLA cases were analysed retrospectively. All patients underwent routine abdominal unenhanced and three-phase enhanced CT examinations. The CT images were assessed by two experienced radiologists by examining location, number, size, septa, texture, gas in the pus cavity, portal phlebitis, thrombophlebitis, and abnormal perfusion during the arterial phase. Statistical differences for continuous characteristics were analysed with independent samples t-test or Wilcoxon's test, while the chi-square test or Fisher's exact test was used for categorical variables. A logistic regression analysis was performed to determine the independent related factors of invasive KPLA and receiver operating characteristic (ROC) curves were used for assessment. RESULTS: Age and type 2 diabetes were significantly different between the patients with invasive and non-invasive KPLA. In addition, patients with invasive KPLA had lower levels of platelet and total protein (p<0.05) and higher total bilirubin compared to patients with non-invasive KPLA. Throughout the regression analysis, total bilirubin, platelets, and total protein demonstrated an area under the ROC curves of 0.717, 0.745, and 0.728, respectively. CONCLUSION: Invasive KPLA occurs predominantly in younger patients with type 2 diabetes. Laboratory tests revealed low platelet and total protein levels and high total bilirubin levels. If the patient with KPLA exhibits hepatic venous thrombophlebitis with no abnormal enhancement around the abscess in the arterial phase of enhanced CT, it indicates that the abscess has invaded.


Subject(s)
Diabetes Mellitus, Type 2 , Klebsiella Infections , Liver Abscess , Thrombophlebitis , Humans , Klebsiella pneumoniae , Retrospective Studies , Klebsiella Infections/diagnostic imaging , Liver Abscess/diagnostic imaging , Tomography, X-Ray Computed/methods
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2018: 648-651, 2018 Jul.
Article in English | MEDLINE | ID: mdl-30440480

ABSTRACT

Duchenne muscular dystrophy (DMD) is a fatal Xlinked muscle disorder caused by mutations in the dystrophin gene with a consequence of progressive degeneration of skeletal and cardiac muscle. Golden retriever muscular dystrophy (GRMD) is a spontaneous X-linked canine model of DMD with similar effects. Due to high soft-tissue contrast images, MRI is preferred as a non-invasive method to extract information corresponding to biological characteristics. We propose and evaluate non-invasive MRI-based imaging biomarkers to assess the severity of golden retriever muscular dystrophy (GRMD) using 3T and 4.7T MRI data of nine animals. These imaging biomarkers use first order statistics and texture (assessed by wavelets) in quantitative MRI (qMRI). In a leave-one-sampleout cross-validation framework, we use SVM to differentiate between young and old GRMD animals. The preliminary results show good differentiation between young and old animals for different qMRI sequences and based on a different selection of features.


Subject(s)
Muscular Dystrophy, Animal/diagnostic imaging , Muscular Dystrophy, Duchenne/diagnostic imaging , Animals , Biomarkers , Disease Models, Animal , Dog Diseases/diagnostic imaging , Dogs , Magnetic Resonance Imaging , Muscle, Skeletal/diagnostic imaging
3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 4066-4069, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29060790

ABSTRACT

Duchenne Muscular Dystrophy (DMD) is a genetic disorder caused by dystrophin protein deficiency. Muscle biopsy is the gold standard to determine the disease severity and progression. MRI has shown potential for monitoring disease progression or assessing the treatment effectiveness. In this study, multiple quantitative MRI parameters were used to classify the tissue components in a canine model of DMD disease using histoimmunochemistry analysis as a "ground truth". Results show that multiple MRI parameters may be used to reliably classify the muscular tissue and generate a high-resolution tissue type maps, which can be used as potential non-invasive imaging biomarkers for the DMD.


Subject(s)
Muscular Dystrophy, Duchenne , Animals , Biomarkers , Disease Progression , Dogs , Dystrophin , Magnetic Resonance Imaging , Muscle, Skeletal
4.
Annu Int Conf IEEE Eng Med Biol Soc ; 2016: 4083-4086, 2016 Aug.
Article in English | MEDLINE | ID: mdl-28269180

ABSTRACT

Duchenne Muscular Dystrophy (DMD) is a fatal X-linked disorder. Therapeutic assessments currently require muscle biopsy to ascertain information about the status of disease progression. MRI shows potential to be used in place of muscle biopsy for therapeutic assessments. In this work, localized histological data and various MRI parameters were correlated in a canine model of DMD. The results indicate several MRI parameters may be useful as biomarkers of disease progression.


Subject(s)
Histocytochemistry/methods , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Muscle, Skeletal/diagnostic imaging , Muscular Dystrophy, Duchenne/diagnostic imaging , Animals , Biomarkers , Disease Progression , Dogs , Muscle, Skeletal/pathology , Muscular Dystrophy, Duchenne/pathology
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