The Usefulness of T1-Weighted Magnetic Resonance Images for Diagnosis of Acute Leukemia Manifesting Musculoskeletal Symptoms prior to Appearance of Peripheral Blood Abnormalities.
Toshihide YoshikawaAkihiko TanizawaKoji SuzukiNanae TanakaTaihei HayashiMasayo TsudaGenrei OhtaNaoko KikuchiHiroyuki OkamotoTakehiko SakaiYoshihiro TaniguchiYusei OhshimaPublished in: Case reports in pediatrics (2016)
The patients with acute leukemia occasionally present with musculoskeletal symptoms initially, including bone pain, joint pain, muscular pain, and functional impairment. Without abnormal findings of peripheral blood cell counts or smear, the correct diagnosis tends to be delayed. Magnetic resonance imaging is often performed to examine musculoskeletal abnormalities; it can simultaneously reveal the bone marrow composition with high anatomical resolution and excellent soft tissue contrast. We present 4 pediatric patients who were initially diagnosed with acute pyogenic osteomyelitis or arthritis, based on the elevated white blood cell counts and/or C-reactive protein in addition to the localized high signal intensity on T2-weighted magnetic resonance images. Finally, they were diagnosed with B-cell precursor acute lymphoblastic leukemia by bone marrow examination. The period between the onset of musculoskeletal symptoms and the diagnosis of leukemia ranged from 20 days to 6 months. In all cases, the T1-weighted magnetic resonance images taken prior to detection of peripheral blood abnormality revealed diffuse low signal intensity of the bone marrow in regions adjacent or contralateral to localized musculoskeletal symptoms. These findings should raise the suspicion of leukemia even without abnormalities in peripheral blood.
Keyphrases
- peripheral blood
- magnetic resonance
- bone marrow
- contrast enhanced
- chronic pain
- single cell
- magnetic resonance imaging
- acute lymphoblastic leukemia
- mesenchymal stem cells
- deep learning
- soft tissue
- pain management
- neuropathic pain
- convolutional neural network
- sleep quality
- optical coherence tomography
- computed tomography
- cell therapy
- liver failure
- rheumatoid arthritis
- stem cells
- acute myeloid leukemia
- depressive symptoms
- spinal cord
- dna methylation
- gene expression
- physical activity
- network analysis
- respiratory failure
- genome wide
- machine learning
- young adults
- real time pcr
- acute respiratory distress syndrome
- postoperative pain
- quantum dots
- sensitive detection