Added value of diffusion-weighted MRI in assessment of pleural lesions
Autor: | Sally Fouad Tadros, Ikram Hamed Mahmoud, Lamis Tarek El-Gendy, Mohamed Raafat Abd El-Mageed, Youssriah Yahia Sabri |
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Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
business.industry Pleural effusion Mean value R895-920 DWI Pleural lesions medicine.disease Predictive value 030218 nuclear medicine & medical imaging Medical physics. Medical radiology. Nuclear medicine 03 medical and health sciences Soft Tissue Diseases Pleural disease 0302 clinical medicine 030220 oncology & carcinogenesis Medicine Cutoff Radiology Nuclear Medicine and imaging Radiology business MRI Diffusion MRI |
Zdroj: | The Egyptian Journal of Radiology and Nuclear Medicine, Vol 52, Iss 1, Pp 1-9 (2021) |
ISSN: | 2090-4762 |
DOI: | 10.1186/s43055-021-00557-3 |
Popis: | Background There are many causes of pleural disease including variable benign and malignant etiologies. DWI is a non-enhanced functional MRI technique that allows qualitative and quantitative characterization of tissues based on their water molecules diffusivity. The aim of this study was to evaluate the diagnostic value of DWI-MRI in detection and characterization of pleural diseases and its capability in differentiating benign from malignant pleural lesions. Results Conventional MRI was able to discriminate benign from malignant lesions by using morphological features (contour and thickness) with sensitivity 89.29%, specificity 76%, positive predictive value 89%, negative predictive value 76.92%, and accuracy 85.37%. ADC value as a quantitative parameter of DWI found that ADC values of malignant pleural diseases were significantly lower than that of benign lesions (P < 0.001). Hence, we discovered that using ADC mean value of 1.68 × 10-3 mm2/s as a cutoff value can differentiate malignant from benign pleural diseases with sensitivity 89.3%, specificity 100%, positive predictive value 100%, negative predictive value 81.2%, and accuracy 92.68% (P < 0.001). Conclusion Although DWI-MRI is unable to differentiate between malignant and benign pleural effusion, its combined morphological and functional information provide valid non-invasive method to accurately characterize pleural soft tissue diseases differentiating benign from malignant lesions with higher specificity and accuracy than conventional MRI. |
Databáze: | OpenAIRE |
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