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Magnetic resonance imaging in the diagnosis of large shadow of coal workers' pneumoconiosis and its clinical application / 中国职业医学
China Occupational Medicine ; (6): 80-84, 2018.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-881668
Responsible library: WPRO
ABSTRACT

OBJECTIVE:

To evaluate the clinical application of magnetic resonance imaging( MRI) in diagnosis of lung large shadow in coal workers' pneumoconiosis( CWP).

METHODS:

Twenty-five CWP patients with lung large shadow( 39 lesions) were selected as CWP group by using the judgment sampling method,and 34 cases( 34 lesions),including 21 cases of lung cancer( lung cancer subgroup) and 13 cases of lung mass( lung mass subgroup),were selected as control group. Routine MRI examinations was performed on these three groups of patients. T1 weighted imaging( T1 WI),T2 weighted imaging( T2 WI) and frequency pre-saturation inversion recovery( SPIR) imagings were performed to analyze the differences of MRI images.

RESULTS:

Large shadow lesions in patients with CWP showed slightly lower signal,equal signal and equal lower signal in T2 WI and SPIR,accounting for 97. 4%(38/39) and 94. 9%(37/39) respectively. Those show slightly higher signal accounted for 2. 6%(1/39) and 5. 1%(2/39),respectively. The proportions of lung large shadows showed slightly higher signal of CWP group at T2 WI and SPIR were lower than those in the control group( 2. 6% vs88. 2%,5. 1% vs 91. 2%,P < 0. 01),the lung cancer subgroup(2. 6% vs 95. 2%,5. 1% vs 95. 2%,P < 0. 01) and lung mass subgroup( 2. 6% vs 76. 9%,5. 1% vs 84. 6%,P < 0. 01).

CONCLUSION:

MRI has good specificity in identifying characteristics of lesion of CWP large lung shadow. The main manifestations are slightly lower signal,equal signal and equal lower signal on T2 WI and SPIR

Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: China Occupational Medicine Year: 2018 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: China Occupational Medicine Year: 2018 Document type: Article
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