OBJECTIVE: To evaluate the diagnostic value of liver @entity82 markers and ultrasonic examination for determining compensated @entity1575 in @entity1 with chronic @entity1956 , and screen applicable non-invasive diagnostic marker for compensated @entity1575 . METHODS: Serum @entity7245 ( @entity7245 ), Type III procollagen (PCIII), laminin (LN) and Type IV collagen ( @entity4609 ) were measured from 350 @entity1 with chronic @entity1956 , who were also detected with liver biopsy and ultrasonography. To determine the cut-off value of every serum liver @entity82 marker for diagnosing compensated @entity1575 , data was analysed with clinical epidemiology methods. Then evaluated and compared all the markers. RESULTS: 85 out of 350 @entity1 were diagnosed as compensated @entity1575 by liver biopsy, and 81 had @entity1575 images by ultrasonic examination. @entity7245 achieved the biggest area under the ROC curve. The cut-off values with best sensitivity and accuracy of @entity7245 , PCIII, LN and @entity4609 were 154.35 microg/L, 198.44 microg/L, 137.58 microg/L and 100.80 microg/L respectively. The related diagnostic sensitivities of @entity7245 , PCIII, LN and @entity4609 were 82.4%, 63.5%, 57.3% and 70.6%, specificities were 79.3%, 54.0%, 56.8%, 68.3%, and accuracies were 80.0%, 56.3%, 56.9%, 68.9%, respectively. Parallel tests could increase the diagnostic sensitivity, but decreased specificity and accuracy accordingly. Compared with other non-invasive diagnostic methods, @entity7245 was the best marker (mu > or =1.814, P<0.05). The level of @entity7245 at 119.17 microg/L was suitable for determining compensated @entity82 , with a 87.1% sensitivity, 67.6% specificity, 72.3% accuracy, 46.25% positive predictive value and 94.7% negative predictive value. CONCLUSION: Among the non-invasive serum diagnostic markers for liver @entity82 and ultrasonic examination for @entity82 image, @entity7245 is the best marker for diagnosing compensated @entity1575 .

[Screening and evaluation of non-invasive diagnosis markers for compensated @entity1575 in XXXX with chronic @entity1956 ].

@entity1 :: ('9606', 'Species') :: ['patients'] @entity82 :: ('MESH:D005355', 'Disease') :: ['fibrosis', 'cirrhosis'] @entity7245 :: ('MESH:D000592', 'Disease') :: ['hyaluronic acid', 'HA'] @entity1956 :: ('MESH:D006509', 'Disease') :: ['hepatitis B'] @entity4609 :: ('176652', 'Species') :: ['CIV'] @entity1575 :: ('MESH:D008103', 'Disease') :: ['liver cirrhosis']
@entity1 :: (9606,Species) :: ['patients']
