Literature DB >> 27210782

Hepatic pathology of biliary atresia: A new comprehensive evaluation method using liver biopsy.

Shouhua Zhang1, Yan Wu, Zhiwen Liu, Qiang Tao, Jinshi Huang, Wenping Yang.   

Abstract

BACKGROUND/AIMS: Despite its unique pathological characteristics, biliary atresia (BA) has no consensus pathological grading system. Therefore, the purpose of this study was to propose a new pathological grading system and to compare the diagnostic value of intraoperative frozen and postoperative paraffin-embedded liver sections.
MATERIALS AND METHODS: A total of 81 BA patients were analyzed for clinical and biochemical data, immunohistochemistry, and routine postoperative histology and intraoperative frozen pathology sections. Bile duct hyperplasia was classified into three grades (B1-B3), and fibrosis was classified into four classical grades (F1-F4).
RESULTS: The patients included 41 males and 40 females, aged 35-150 days. The repartition, in terms of severity, of small bile duct hyperplasia and fibrosis was as follows: B1, 21 cases; B2, 41 cases; B3, 19 cases; F1, 1 case; F2, 11 cases; F3, 51 cases; and F4, 18 cases. Both grades were statistically correlated. When comparing intraoperative frozen and postoperative paraffin-embedded sections, the overall diagnostic concordance rate was 97.5%.
CONCLUSION: The new proposed pathological grading system may be useful for the diagnostic and prognostic assessment of BA. In addition, intraoperative frozen liver tissue biopsy samples represent a valuable and promising adjunct to the conventional postoperative paraffin-embedded sections.

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Year:  2016        PMID: 27210782     DOI: 10.5152/tjg.2016.15316

Source DB:  PubMed          Journal:  Turk J Gastroenterol        ISSN: 1300-4948            Impact factor:   1.852


  2 in total

1.  Does Supersonic Shear Wave Elastography Help Differentiate Biliary Atresia from Other Causes of Cholestatic Hepatitis in Infants Less than 90 Days Old? Compared with Grey-Scale US.

Authors:  Xingxing Duan; Ya Peng; Wengang Liu; Liu Yang; Jie Zhang
Journal:  Biomed Res Int       Date:  2019-06-02       Impact factor: 3.411

2.  Risk Prediction Scoring System to Predict the Postsurgical Outcomes of Biliary Atresia.

Authors:  Rajeev Redkar; Vinod Raj; Swathi Chigicherla; Shruti Tewari; Chandralekha Tampi; Shirin Joshi
Journal:  J Indian Assoc Pediatr Surg       Date:  2020-09-01
  2 in total

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