Literature DB >> 27377325

Extramedullary haematopoiesis: radiological imaging features.

A S Roberts1, A S Shetty2, V M Mellnick2, P J Pickhardt3, S Bhalla2, C O Menias4.   

Abstract

Extramedullary haematopoiesis (EMH) is defined as the production of blood cells outside of the bone marrow, which occurs when there is inadequate production of blood cells. The most common causes of EMH are myelofibrosis, diffuse osseous metastatic disease replacing the bone marrow, leukaemia, sickle cell disease, and thalassemia. The purpose of this article is to review the common and uncommon imaging appearances of EMH by anatomical compartment. In the thorax, EMH most commonly presents as paravertebral fat-containing masses, and typically does not present a diagnostic dilemma; however, EMH in the abdomen most commonly manifests as hepatosplenomegaly with or without focal soft-tissue masses in the liver, spleen, perirenal space, and in the peritoneum. Hepatosplenomegaly, a non-specific feature, most often occurs without an associated focal mass, which makes suggestion of EMH difficult. EMH manifesting as visceral soft-tissue masses often requires biopsy as the differential diagnosis can include lymphoma, metastatic disease, and sarcoma. Many of these soft-tissue masses do not contain adipose elements, making the diagnosis of EMH difficult. Clinical history is crucial, as EMH would likely not otherwise be in the differential in patients with non-specific abdominal masses. Careful biopsy planning is necessary when EMH is a diagnostic consideration, given the propensity for haemorrhage. Understanding the typical imaging appearances of EMH based on its site of manifestation can help the radiologist when encountered with a finding that is diagnostic for EMH, and can help the radiologist suggest the need and plan appropriately for image-guided biopsy.
Copyright © 2016 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27377325     DOI: 10.1016/j.crad.2016.05.014

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  21 in total

Review 1.  Anatomic variations of the spleen: current state of terminology, classification, and embryological background.

Authors:  Ivan Varga; Jozef Babala; David Kachlik
Journal:  Surg Radiol Anat       Date:  2017-06-19       Impact factor: 1.246

2.  Incidental splenic nodules found on MR imaging done for assessment of iron overload in children.

Authors:  Rayan A Ahyad; Christopher Z Lam; Omid Shearkhani; Oscar M Navarro
Journal:  Pediatr Radiol       Date:  2017-04-13

Review 3.  Imaging review of sickle cell disease for the emergency radiologist.

Authors:  Shenise N Gilyard; Scott L Hamlin; Jamlik-Omari Johnson; Keith D Herr
Journal:  Emerg Radiol       Date:  2020-07-31

Review 4.  [Skeletal manifestations of systemic hematologic disorders].

Authors:  J Luitjens; A Baur-Melnyk
Journal:  Radiologe       Date:  2021-11-24       Impact factor: 0.635

Review 5.  Fat-containing pelvic lesions in females.

Authors:  Nikoo Fattahi; Aida Moeini; Ajaykumar C Morani; Khaled M Elsayes; Hrishabh R Bhosale; Mohamed Badawy; Christine O Menias; Maryam Rezvani; Ayman H Gaballah; Akram M Shaaban
Journal:  Abdom Radiol (NY)       Date:  2021-10-21

Review 6.  Imaging evaluation of the pediatric mediastinum: new International Thymic Malignancy Interest Group classification system for children.

Authors:  Nhi H Vo; Kumar K Shashi; Abbey J Winant; Mark C Liszewski; Edward Y Lee
Journal:  Pediatr Radiol       Date:  2022-04-27

7.  Non-Hepatosplenic Extramedullary Hematopoiesis Masquerading as Metastatic Malignant Melanoma.

Authors:  Aquino Williams; Rajiv M Mallipudi; John A Conti
Journal:  J Hematol       Date:  2022-06-16

8.  Magnetic resonance imaging features of intrahepatic extramedullary hematopoiesis: Three case reports.

Authors:  Ma Luo; Jia-Wen Chen; Chuan-Miao Xie
Journal:  World J Clin Cases       Date:  2022-07-06       Impact factor: 1.534

Review 9.  [Lung involvement in hematologic systemic diseases].

Authors:  S-S Stecher; S Lippl; H J Stemmler; J Schreiber
Journal:  Internist (Berl)       Date:  2018-09       Impact factor: 0.743

10.  Deep Learning CT-based Quantitative Visualization Tool for Liver Volume Estimation: Defining Normal and Hepatomegaly.

Authors:  Alberto A Perez; Victoria Noe-Kim; Meghan G Lubner; Peter M Graffy; John W Garrett; Daniel C Elton; Ronald M Summers; Perry J Pickhardt
Journal:  Radiology       Date:  2021-10-26       Impact factor: 11.105

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.