Literature DB >> 24697285

Lymphoma diagnosis at an academic centre: rate of revision and impact on patient care.

Joslin M Bowen1, Anamarija M Perry, Javier A Laurini, Lynette M Smith, Kimberly Klinetobe, Martin Bast, Julie M Vose, Patricia Aoun, Kai Fu, Timothy C Greiner, Wing C Chan, James O Armitage, Dennis D Weisenburger.   

Abstract

Few studies have examined the value of a mandatory second review of outside pathology material for haematological malignancies. Therefore, we compared diagnoses on biopsies referred to an academic medical centre to determine the rate and therapeutic impact of revised diagnoses resulting from a second review. We reviewed 1010 cases referred for lymphoma during 2009-2010. For each case, referral diagnosis and second review diagnosis were compared. Revised diagnoses were grouped into major and minor discrepancies and all major discrepancies were reviewed by a haematologist to determine the effect the diagnostic change would have on therapy. There was no change in diagnosis in 861 (85·2%) cases. In 149 (14·8%) cases, second review resulted in major diagnostic change, of which 131 (12·9%) would have resulted in a therapeutic change. The highest rates of revision were for follicular, high-grade B-cell, and T-cell lymphomas. We found higher rates of major discrepancy in diagnoses from non-academic centres (15·8%) compared to academic centres (8·5%; P = 0·022), and in excisional biopsies (17·9%) compared to smaller biopsies (9·6%; P = 0·0003). Mandatory review of outside pathology material prior to treatment of patients for lymphoma will identify a significant number of misclassified cases with a major change in therapy.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  Hodgkin lymphoma; diagnostic discrepancy; expert pathology review; lymphoma diagnosis; non-Hodgkin lymphoma

Mesh:

Year:  2014        PMID: 24697285     DOI: 10.1111/bjh.12880

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  8 in total

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Authors:  Lisa Rimsza; Yuri Fedoriw; Louis M Staudt; Ari Melnick; Randy Gascoyne; Michael Crump; Lawrence Baizer; Kai Fu; Eric Hsi; John W C Chan; Lisa McShane; John P Leonard; Brad S Kahl; Richard F Little; Jonathan W Friedberg; Lale Kostakoglu
Journal:  J Natl Cancer Inst       Date:  2016-12-16       Impact factor: 13.506

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Authors:  Rebecca L King; Grzegorz S Nowakowski; Thomas E Witzig; David W Scott; Richard F Little; Fangxin Hong; Randy D Gascoyne; Brad S Kahl; William R Macon
Journal:  Blood Cancer J       Date:  2018-02-28       Impact factor: 11.037

4.  Time Trends in Rates of Hodgkin Lymphoma Histologic Subtypes: True Incidence Changes or Evolving Diagnostic Practice?

Authors:  Sally L Glaser; Christina A Clarke; Theresa H M Keegan; Ellen T Chang; Dennis D Weisenburger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-07-27       Impact factor: 4.090

5.  Discrepancies in Lymphoma Diagnosis Over the Years: A 13-Year Experience in a Tertiary Center.

Authors:  Neval Özkaya; Nuray Başsüllü; Ahu Senem Demiröz; Nükhet Tüzüner
Journal:  Turk J Haematol       Date:  2016-12-12       Impact factor: 1.831

6.  Expert central review in lymphoma diagnosis. Is there a need?

Authors:  Camille Laurent; Philippe Gaulard; Pierre Brousset
Journal:  Oncotarget       Date:  2017-12-17

7.  Review of Hematopathology Consult Cases: A Two-Year Experience in a Tertiary Referral Center in Lebanon.

Authors:  Sara A J Sinno; Zaher I Chakhachiro; Samer R Nassif
Journal:  Biomed Res Int       Date:  2018-12-30       Impact factor: 3.411

8.  Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning.

Authors:  Charlotte Syrykh; Arnaud Abreu; Nadia Amara; Aurore Siegfried; Véronique Maisongrosse; François X Frenois; Laurent Martin; Cédric Rossi; Camille Laurent; Pierre Brousset
Journal:  NPJ Digit Med       Date:  2020-05-01
  8 in total

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