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Dr. Mohammed Afifi Nasr Mohammed :: Publications:

Title:
Role of Advanced MRI in Differentiation between Benign and Malignant Lung Lesions
Authors: S M.Tawfik M M.Omar T S.Essawy M A.Nasr S M.Abo Yousef
Year: 2022
Keywords: Diffusion MRI ADC Benign Malignant Pulmonary lesions
Journal: Benha Journal of Applied Science
Volume: Volume 7,
Issue: Issue 6 June 2022
Pages: Pages 47-55
Publisher: Not Available
Local/International: Local
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

The most prevalent cause of mortality in industrialised nations is lung cancer. 3:1 is the ratio of males to females. Tobacco use increases the incidence of lung cancer by 30 times. There are also additional risk factors, such as a long history of exposure to things like carcinogens, asbestos and pulmonary fibrosis. We want to see whether sophisticated MRI may help distinguish between malignant and nonmalignant lung lesions in this trial. Methods and Subjects: Patients hospitalised to Benha University Hospital's chest department between October 2018 and April 2021 were included in this research. There were no misunderstandings about their agreement to the terms of the agreement. In order to diagnose the patients, they all had a direct chest X-ray and a CT scan. In this study, the lesions' morphological properties were examined. An MRI scan was performed on each patient, and the results were then analysed for pathology. Of the 32 lesions studied, 22 were malignant and 10 were benign. The mean ADC value of benign lesions was 1.74 –0.27 –3mm2/s, whereas the mean ADC value of malignant lesions was 1.09 –0.18 –3mm2/s, which was considerably lower than that of the benign lesions (p = 0.02) 1.29 0.37 mean ADC in central area; 1.48 0.52 mean ADC in periphery. There was a statistically significant difference in ADC between the centre and the peripheral (1.29 0.37) (P =.0.017) Malignant lesions had considerably lower mean ADCs in the centre and periphery than those with benign lesions (1.09 and 1.26, respectively) (1.74 and 1.97, respectively The p-values were 0.001 and 0.005. The ADC core and periphery were analysed for malignancy using ROC analysis. Center (AUC = 0.964) and periphery (AUC = 0.859) had significant AUCs in this study. Optimal cutoff values for ADC centre and ADC periphery were 1.29 10–3 mm2/s and 1.54 10–3 mm2/s, respectively, with sensitivity and specificity of 95.5% and 90% for ADC centre and 86.4% and 80% for ADC peripheral. Diffusion-weighted MRI can distinguish between benign and malignant pulmonary masses, whereas ADC can distinguish between the two

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