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Link to original content: https://unpaywall.org/10.1166/JMIHI.2020.2963
Added Value of Thoracic Magnetic Resonance Imaging in the Differe...: Ingenta Connect
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Added Value of Thoracic Magnetic Resonance Imaging in the Differential Diagnosis Between Peripheral Lung Cancer and Progressive Massive Fibrosis of Coal Silicosis

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To compare the thoracic magnetic resonance imaging (TMRI) features between peripheral lung cancer (PLC) and progressive massive fibrosis (PMF) of coal silicosis (CS), and to excavate information of differential diagnostic value. 68 patients with PLC (68 lesions) were selected as lung cancer group (LCG), and 50 patients with PMF of CS (78 lesions) were selected as coal silicosis group (CSG). TMRI was performed in both groups, and T1-weighted imaging (T1WI), T2-weighted imaging (T2WI) and Spectral pre-saturated inversion recovery (SPIR) were used. The differences and characteristics of TMRI between the two groups were analyzed. 55 cases of pulmonary masses (PM) in LCG showed iso-signal intensity on T1WI (80.9%), and 63 cases showed high-signal intensity on T2WI and SPIR (92.6%); 65 cases of PMF in CSG showed iso-signal intensity on T1WI (83.5%), and high-signal intensity on T2WI and SPIR was found in 4 cases (5.1%), but 67 cases showed low-signal intensity (85.9%). PMF in CSG with high-signal intensity on T2WI and SPIR were significantly lower than PM in LCG(P < 0.1). Compared with TMRI of PLC showed high-signal intensity on T2WI and SPIR, PMF in CS showed low-signal intensity on T2WI and SPIR. This feature is of important significance in differential diagnosis.

Keywords: DIFFERENTIAL DIAGNOSIS; PERIPHERAL LUNG CANCER; PROGRESSIVE MASSIVE FIBROSIS OF COAL SILICOSIS; THORACIC MAGNETIC RESONANCE IMAGING

Document Type: Research Article

Publication date: 01 April 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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