Literature DB >> 33879266

The value of bone marrow, liver, and spleen imaging in diagnosis, prognostication, and follow-up monitoring of myeloproliferative neoplasms: a systematic review.

Stefanie Slot1, Niels W C J van de Donk2, René H J Otten3, Bouke J H Boden4, Josée Zijlstra2, Pieter G H M Raijmakers5, Sonja Zweegman2.   

Abstract

BACKGROUND: Diagnostic and treatment response criteria for the JAK2/CALR/MPL mutation-related myeloproliferative neoplasms (MPNs) are largely based on bone marrow (BM) biopsy results. However, these biopsies have several limitations, such as the risk of sampling error. Also, the prognostic impact of BM abnormalities is largely unclear. Although not currently used in clinical practice, imaging techniques might offer additional information. In this review, we investigated the value of BM, liver, and spleen imaging for diagnosis, prognostication, and response monitoring of the JAK2/CALR/MPL mutation-related MPNs (i.e. essential thrombocythemia (ET), polycythemia vera (PV), and myelofibrosis (MF)).
METHODS: A systematic literature search was performed via PubMed, Embase and the Cochrane Library up to 2020 March 26th. Of 5505 identified records, 55 publications met the eligibility criteria (i.e. containing original data on the imaging appearance of BM, spleen, or liver in adult ET, PV, or MF patients, published in a peer-reviewed journal, written in English).
RESULTS: Many explorative studies described imaging features, sometimes with comparisons to clinical characteristics. Studies reporting measures of diagnostic accuracy included 1) splenic transient elastography to predict BM fibrosis grade in MF, 2) dynamic contrast-enhanced MRI to discern MF patients from ET patients and healthy controls, and 3) 18-fluorodeoxyglucose PET to detect residual disease after stem cell transplantation in MF. The diagnostic accuracies of radiography and 99mTc-colloid scintigraphy were derived from several other articles. Except for the study on 18-fluorodeoxyglucose PET, we established substantial concerns regarding risk of bias and applicability across these studies, using the QUADAS-2 tool. Three publications described a correlation between imaging results and prognosis, of which one quantified the effect.
CONCLUSIONS: Based on current data, MRI (T1-weighted/STIR, Dixon) seems especially promising for the evaluation of BM fat content - and indirectly cellularity/fibrosis - in MF, and possibly for estimating BM cellularity in ET/PV. 18-fluorodeoxyglucose and 18-fluorothymidine PET/CT might be useful for evaluating BM fibrosis, with good reported accuracy of the former for the diagnosis of residual disease. Further research on these and other techniques is warranted to determine their exact value. Future researchers should improve methodology and focus on evaluation of diagnostic accuracy and prognostic implications of results.

Entities:  

Keywords:  Computed tomography; Diagnostic accuracy; Dual-energy X-ray absorptiometry; Magnetic resonance imaging; Myelofibrosis; Myeloproliferative neoplasms; PET/CT; Radiography; Ultrasound

Year:  2021        PMID: 33879266     DOI: 10.1186/s40644-021-00405-7

Source DB:  PubMed          Journal:  Cancer Imaging        ISSN: 1470-7330            Impact factor:   3.909


  58 in total

1.  Prognostic significance of a comprehensive histological evaluation of reticulin fibrosis, collagen deposition and osteosclerosis in primary myelofibrosis patients.

Authors:  Umberto Gianelli; Stefano Fiori; Daniele Cattaneo; Anna Bossi; Ivan Cortinovis; Arturo Bonometti; Giulia Ercoli; Cristina Bucelli; Nicola Orofino; Gaetano Bulfamante; Alessandra Iurlo
Journal:  Histopathology       Date:  2017-09-28       Impact factor: 5.087

2.  Revised response criteria for polycythemia vera and essential thrombocythemia: an ELN and IWG-MRT consensus project.

Authors:  Giovanni Barosi; Ruben Mesa; Guido Finazzi; Claire Harrison; Jean-Jacques Kiladjian; Eva Lengfelder; Mary F McMullin; Francesco Passamonti; Alessandro M Vannucchi; Carlos Besses; Heinz Gisslinger; Jan Samuelsson; Srdan Verstovsek; Ronald Hoffman; Animesh Pardanani; Francisco Cervantes; Ayalew Tefferi; Tiziano Barbui
Journal:  Blood       Date:  2013-04-16       Impact factor: 22.113

3.  Incidence of myeloproliferative neoplasms - trends by subgroup and age in a population-based study in Sweden.

Authors:  M Hultcrantz; A Ravn Landtblom; B Andréasson; J Samuelsson; P W Dickman; S Y Kristinsson; M Björkholm; T M-L Andersson
Journal:  J Intern Med       Date:  2020-01-11       Impact factor: 8.989

4.  Bone marrow microvessel density and plasma angiogenic factors in myeloproliferative neoplasms: clinicopathological and molecular correlations.

Authors:  Danijela Lekovic; Mirjana Gotic; Radek Skoda; Bojana Beleslin-Cokic; Natasa Milic; Olivera Mitrovic-Ajtic; Ronny Nienhold; Dijana Sefer; Tijana Suboticki; Marijana Buac; Dragana Markovic; Milos Diklic; Vladan P Cokic
Journal:  Ann Hematol       Date:  2016-12-06       Impact factor: 3.673

5.  Revised response criteria for myelofibrosis: International Working Group-Myeloproliferative Neoplasms Research and Treatment (IWG-MRT) and European LeukemiaNet (ELN) consensus report.

Authors:  Ayalew Tefferi; Francisco Cervantes; Ruben Mesa; Francesco Passamonti; Srdan Verstovsek; Alessandro M Vannucchi; Jason Gotlib; Brigitte Dupriez; Animesh Pardanani; Claire Harrison; Ronald Hoffman; Heinz Gisslinger; Nicolaus Kröger; Juergen Thiele; Tiziano Barbui; Giovanni Barosi
Journal:  Blood       Date:  2013-07-09       Impact factor: 22.113

6.  Regression of myelofibrosis and osteosclerosis following hematopoietic cell transplantation assessed by magnetic resonance imaging and histologic grading.

Authors:  George E Sale; H Joachim Deeg; Bruce A Porter
Journal:  Biol Blood Marrow Transplant       Date:  2006-12       Impact factor: 5.742

Review 7.  Magnetic resonance imaging of diffuse bone marrow disease.

Authors:  R M Steiner; D G Mitchell; V M Rao; M E Schweitzer
Journal:  Radiol Clin North Am       Date:  1993-03       Impact factor: 2.303

8.  Prognostic factors in myelofibrosis.

Authors:  A Manoharan; R C Smart; W R Pitney
Journal:  Pathology       Date:  1982-10       Impact factor: 5.306

Review 9.  Bone marrow angiogenesis: methods of quantification and changes evolving in chronic myeloproliferative disorders.

Authors:  H M Kvasnicka; J Thiele
Journal:  Histol Histopathol       Date:  2004-10       Impact factor: 2.303

Review 10.  The 2016 WHO classification and diagnostic criteria for myeloproliferative neoplasms: document summary and in-depth discussion.

Authors:  Tiziano Barbui; Jürgen Thiele; Heinz Gisslinger; Hans Michael Kvasnicka; Alessandro M Vannucchi; Paola Guglielmelli; Attilio Orazi; Ayalew Tefferi
Journal:  Blood Cancer J       Date:  2018-02-09       Impact factor: 11.037

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  1 in total

Review 1.  Progression of Myeloproliferative Neoplasms (MPN): Diagnostic and Therapeutic Perspectives.

Authors:  Julian Baumeister; Nicolas Chatain; Alexandros Marios Sofias; Twan Lammers; Steffen Koschmieder
Journal:  Cells       Date:  2021-12-16       Impact factor: 6.600

  1 in total

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