Notification of abstract acceptance
announced via E-mail on July 31st.
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Oct. 18 (Thu)  Grand Ballroom 104 Room - SS10 CH
16:40-16:50 [SS 10 CH-05] 
Perfusion Parametric Map for the Characterization of Interstitial Lung Disease
   
Speaker Chae Jin Jeong (Samsung Medical Center)
Authors Chae Jin Jeong,Jae-Hun Kim,Julius Chung,Man Pyo Chung,Joungho Han,Ho Yun Lee,Kyung Soo Lee,Chin A Yi
Affiliation Samsung Medical Center
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PURPOSE:
To evaluate the value of perfusion parametric map in the assessment of disease activity in patients with interstitial lung diseases (ILDs).

MATERIALS AND METHODS:
We included 21 patients with biopsy-proven ILD and who underwent thoracic dynamic contrast enhanced-MRI (DCE-MRI) and non-contrast CT. The following diseases were diagnosed: usual interstitial pneumonia (UIP)/ idiopathic pulmonary fibrosis (IPF) (n = 10), non-specific interstitial pneumonia (n = 5), cryptogenic organizing pneumonia (n = 4), desquamative interstitial pneumonia (n = 1), and respiratory bronchiolitis-interstitial lung disease (n = 1). Extended Kety model was applied for quantitative measurement of volume transfer constant (Ktrans) and volume of extravascular extracellular space per unit volume of tissue (ve).In order to minimize the effect of individual variation of arterial input function, percentage change of Ktrans (Ktrans%) and ve(ve%) were calculated by comparing to those of normal lungs and displayed as perfusion parametric map. The changes of lesion extent were followed with chest CT (n = 14) or radiography (n = 7) (mean interval between initial and follow-up, 9.9 months). The parameters were compared between UIP/IPF and non-UIP/IPF patients and between lesions with progressive fibrosis or stable and improvement by using t-test.

RESULTS:
The Ktrans% was more decreased in UIP/IPF compared to that of non-UIP/IPF (0.873 and 0.937, respectively; P = 0.017). The Ktrans% and ve% were more decreased in progressive fibrosis or stable lesions compared to lesions with improvement (Ktrans%, 0.878 and 0.954; ve%, 0.002 and 0.486; P = 0.001 and 0.006, respectively). In patients with non-UIP/IPF (n= 12), lesions with risk of fibrotic progression (n = 2) showed significantly lower Ktrans% than lesions with improvement (n = 6) (0.864 and 0.954, respectively; P = 0.011).

CONCLUSION:
We quantified perfusion parameters from DCE-MRI in patients with ILDs. Perfusion parametric map delineates significant kinetic differences between UIP/IPF and the other ILDs and can be a non-invasive imaging biomarker for predicting prognosis in patients with ILDs.



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