Quantitative analysis of pelvic bone marrow fat using an MRI-based machine learning method for distinguishing aplastic anaemia from myelodysplastic syndromes-Reference-Cited by-同舟云学术

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Quantitative analysis of pelvic bone marrow fat using an MRI-based machine learning method for distinguishing aplastic anaemia from myelodysplastic syndromes

Published:2023-06 Issue:6 Volume:78 Page:e463-e468
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Xiang P.,Wu X.,Zeng Z.,Lin Z.,Guo Y.,Ma X.,Lin J.,Wang W.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference37 articles.

1. The epidemiology of acquired aplastic anaemia;Young;Haematologica,2008

2. Aplastic anaemia: etiology, molecular pathogenesis, and emerging concepts;Shallis;Eur J Haematol,2018

3. Somatic mutations identify a subgroup of aplastic anaemia patients who progress to myelodysplastic syndrome;Kulasekararaj;Blood,2014

4. Differential diagnosis model of hypocellular myelodysplastic syndrome and aplastic anaemia based on the medical big data platform;Wu;Complexity,2018

5. Guidelines for the diagnosis and management of adult aplastic anaemia;Killick;Br J Haematol,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-Invasive Technique for MRI Diagnostics of Bone Marrow Cellularity in Children with Acute Lymphoblastic Leukemia;Radiology - Practice;2023-09-08

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