Literature DB >> 25345839

Reproducibility of liver iron concentration measured on a biopsy sample: a validation study in vivo.

Silvana Anna Maria Urru1, Igor Tandurella, Mario Capasso, Emilio Usala, Donatella Baronciani, Claudio Giardini, Giuseppe Visani, Emanuele Angelucci.   

Abstract

Determination of liver iron concentration is essential to predict iron related tissue damage and to guide chelation therapy. To assess the reliability of a single biopsy iron concentration determination in representing the whole liver iron concentration, we conducted a prospective study performing two immediately successive liver biopsies from 61 noncirrhotic, iron overloaded thalassemia patients, directing the needle to different direction from the same skin cut. The correlation among sample biopsies was determined by both regression analysis and the Bland-Altman method. The results showed that overall correlation between the two samples was high (Pearson's coefficient of correlation r = 0.970, P < 0.0001; 95% CI 0.951-0.981; R(2) = 0.941). To evaluate if sample dimension had an impact on the analysis we analyzed separately biopsy couples were both sample gross weight were ≥1 mg dry weight (n = 16) from the others [one or both had a specimen gross weight <1 mg dry weight (n = 45)]. In the first case, correlation coefficient r was equal to 0.998 (P < 0.0001; 95% CI: 0.995-0.999; R(2) = 0.996) while in the latter was 0.960 (P < 0.0001; 95% CI: 0.928-0.977; R(2) = 0.921). In no instance second specimen prediction interval was outside the interval implying different prognostic and therapeutic decision if both liver samples gross weight were ≥1 mg dry weight. The Bland-Altman plot analysis showed the same trend observed using Pearson's correlation coefficient in the analyzed sample categories. Hepatic iron concentration determined in "good quality" biopsy specimen (i.e. sample gross weight ≥1 mg dry weight) is a reliable indicator of whole liver iron concentration.
© 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 25345839     DOI: 10.1002/ajh.23878

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  6 in total

1.  Radial Ultrashort TE Imaging Removes the Need for Breath-Holding in Hepatic Iron Overload Quantification by R2* MRI.

Authors:  Aaryani Tipirneni-Sajja; Axel J Krafft; M Beth McCarville; Ralf B Loeffler; Ruitian Song; Jane S Hankins; Claudia M Hillenbrand
Journal:  AJR Am J Roentgenol       Date:  2017-05-15       Impact factor: 3.959

2.  Quantitative susceptibility mapping (QSM) minimizes interference from cellular pathology in R2* estimation of liver iron concentration.

Authors:  Jianqi Li; Huimin Lin; Tian Liu; Zhuwei Zhang; Martin R Prince; Kelly Gillen; Xu Yan; Qi Song; Ting Hua; Xiance Zhao; Miao Zhang; Yu Zhao; Gaiying Li; Guangyu Tang; Guang Yang; Gary M Brittenham; Yi Wang
Journal:  J Magn Reson Imaging       Date:  2018-03-22       Impact factor: 4.813

3.  Can multi-slice or navigator-gated R2* MRI replace single-slice breath-hold acquisition for hepatic iron quantification?

Authors:  Ralf B Loeffler; M Beth McCarville; Anne W Wagstaff; Matthew P Smeltzer; Axel J Krafft; Ruitian Song; Jane S Hankins; Claudia M Hillenbrand
Journal:  Pediatr Radiol       Date:  2016-10-17

Review 4.  MRI Measurements of Iron Load in Transfusion-Dependent Patients: Implementation, Challenges, and Pitfalls.

Authors:  Charles T Quinn; Tim G St Pierre
Journal:  Pediatr Blood Cancer       Date:  2015-12-29       Impact factor: 3.167

5.  Acceleration of chemical shift encoding-based water fat MRI for liver proton density fat fraction and T2* mapping using compressed sensing.

Authors:  Fabian K Lohöfer; Georgios A Kaissis; Christina Müller-Leisse; Daniela Franz; Christoph Katemann; Andreas Hock; Johannes M Peeters; Ernst J Rummeny; Dimitrios Karampinos; Rickmer F Braren
Journal:  PLoS One       Date:  2019-11-15       Impact factor: 3.240

6.  Biopsy-based optimization and calibration of a signal-intensity-ratio-based MRI method (1.5 Tesla) in a dextran-iron loaded mini-pig model, enabling estimation of very high liver iron concentrations.

Authors:  Peter D Jensen; Asbjørn H Nielsen; Carsten W Simonsen; Kenneth K Jensen; Martin Bøgsted; Anne B H Jensen; Benedict Kjaergaard
Journal:  MAGMA       Date:  2022-01-17       Impact factor: 2.533

  6 in total

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