Bone Marrow Edema Research Articles

Accuracy of dual-energy computed tomography for bone marrow edema in the sacroiliac joint: A systematic review and meta-analysis.

This systematic literature review and meta-analysis aimed to assess the accuracy, sensitivity, and specificity of dual-energy computed tomography (DECT) of the sacroiliac joint. Bone marrow edema (BME) of the sacroiliac joint is an early manifestation of some diseases, such as ankylosing spondylitis, and is usually examined by nuclear magnetic resonance imaging (MRI); however, MRI can be intolerable for some patients; hence, numerous studies have analyzed DECT examinations. We searched PUBMED, CNKI, and EMBASE in 2023 for articles containing the following terms (DECT) or (DE-CT) or (dual-energy CT) or "dual-energy CT" or (dual-energy computed tomography) and ((sacroiliac joint) or (ankylosing spondylitis) or (sacroiliac arthritis) or (sacroiliitis)). An initial search identified 444 articles, of which 7 met the criteria. Data were extracted to calculate the sensitivity, specificity, and diagnostic odds for analysis using R software. Out of 291 patients and 577 sacroiliac joints, 429 (74.35%) exhibited BME. All studies used magnetic resonance as the control group. The overall sensitivity and specificity of DECT were 79%, and 92%, respectively, with positive prediction rate of 92.55% and negative prediction rate of 83.73%. DECT appears to be a promising diagnostic tool for detecting BME in the sacroiliac joint and can be used as an alternative examination method for patients in whom MRI is contraindicated.

Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.

The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system. To develop a deep learning-based pipeline for grading sacroiliitis using the SPARCC scoring system. Prospective. The study included 389 participants (42.2-year-old, 44.6% female, 317/35/37 for training/validation/testing). A pretrained algorithm was used to differentiate image with/without sacroiliitis. 3-T, short tau inversion recovery (STIR) sequence, fast spine echo. The regions of interest as ground truth for models' training were identified by a rheumatologist (HYC, 10-year-experience) and a radiologist (KHL, 6-year-experience) using the Assessment of Spondyloarthritis International Society definition of MRI sacroiliitis independently. Another radiologist (YYL, 4.5-year-experience) solved the discrepancies. The bone marrow edema (BME) and sacroiliac region models were for segmentation. Frangi-filter detected vessels used as intense reference. Deep learning pipeline scored using SPARCC scoring system evaluating presence and features of BMEs. A rheumatologist (SCWC, 6-year-experience) and a radiologist (VWHL, 14-year-experience) scored using the SPARCC scoring system once. The radiologist (YYL) scored twice with 5-day interval. Independent samples t-tests and Chi-squared tests were used. Interobserver and intraobserver reliability by intraclass correlation coefficient (ICC) and Pearson coefficient evaluated consistency between readers and the deep learning pipeline. We evaluated the performance using sensitivity, accuracy, positive predictive value, and Dice coefficient. A P-value <0.05 was considered statistically significant. The ICC and the Pearson coefficient between the SPARCC scores from three readers and the deep learning pipeline were 0.83 and 0.86, respectively. The sensitivity in identifying BME and accuracy of identifying SI joints and blood vessels was 0.83, 0.90, and 0.88, respectively. The dice coefficients were 0.82 (sacrum) and 0.80 (ilium). The high consistency with human readers indicated that deep learning pipeline may provide a SPARCC-informed deep learning approach for scoring of STIR images in spondyloarthritis. 1 TECHNICAL EFFICACY: Stage 2.

Magnetic Resonance Imaging of Spinal Bone Marrow Signal Alterations with Emphasis on Pattern Recognition: A Case Series

Magnetic Resonance Imaging (MRI) is the most sensitive imaging modality available to detect bone marrow oedema. Different pathological conditions of the spine exhibit distinct and specific bone marrow oedema patterns or signal characteristics. Understanding these patterns for various types of bone marrow oedema in the spine, such as degenerative and pathological conditions, helps to prevent unnecessary investigations and further work-up. In this article, authors detail the specific imaging characteristics of benign versus malignant or pathological fractures, tuberculosis and non tubercular infections of the spine, as well as the imaging appearance of multiple myeloma, among others. Therefore, this article mainly emphasises the approach to bone marrow oedema detected in the spine, aiding in reaching the correct diagnosis and guiding proper management.

Bone marrow edema in children: chronic nonbacterial osteomyelitis and its mimickers.

Bone marrow is a highly cellular tissue undergoing significant developmental and physiologic changes with age. Indeed, with maturation from pediatric to the adult age there is a progressive, centrifugal conversion from red to yellow bone marrow. Histological characteristics of bone marrow are reflected in MR image signal. MR is therefore extremely sensitive in detecting pathological changes which are mostly characterized by increased free water causing high signal intensity on T2. Among the numerous diseases causing bone marrow edema in children chronic nonbacterial osteomyelitis (CNO) certainly has to be mentioned. This idiopathic inflammatory disorder is characterized by nonspecific migrating symptoms like skeletal pain with phases of exacerbations and relapses with alternating acute and chronic MR signs and it is often a diagnosis of exclusion. Hence, with bone marrow edema, various features at imaging should be considered to differentiate malignancies such as osseous lymphoma, osteosarcoma, and Ewing's sarcoma as well as benign lesions like osteomyelitis, post-traumatic, or post-treatment bone marrow edema. The aim of this review is to recall the main characteristics of CNO and provide an overview of its main mimickers highlighting similarities and differences.

Knowledge mapping and bibliometric analysis of medical knee magnetic resonance imaging for knee osteoarthritis (2004-2023).

Magnetic resonance imaging (MRI) is increasingly used to detect knee osteoarthritis (KOA). In this study, we aimed to systematically examine the global research status on the application of medical knee MRI in the treatment of KOA, analyze research hotspots, explore future trends, and present results in the form of a knowledge graph. The Web of Science core database was searched for studies on medical knee MRI scans in patients with KOA between 2004 and 2023. CiteSpace, SCImago Graphica, and VOSviewer were used for the country, institution, journal, author, reference, and keyword analyses. A total of 2,904 articles were included. The United States and Europe are leading countries. Boston University is the main institution. Osteoarthritis and cartilage is the main magazine. The most frequently cocited article was "Radiological assessment of osteoarthrosis". Guermazi A was the author with the highest number of publications and total references. The keywords most closely linked to MRI and KOA were "cartilage", "pain", and "injury". The application of medical knee MRI in KOA can be divided into the following parts: (1). MRI was used to assess the relationship between the characteristics of local tissue damage and pathological changes and clinical symptoms. (2).The risk factors of KOA were analyzed by MRI to determine the early diagnosis of KOA. (3). MRI was used to evaluate the efficacy of multiple interventions for KOA tissue damage (e.g., cartilage defects, bone marrow edema, bone marrow microfracture, and subchondral bone remodeling). Artificial intelligence, particularly deep learning, has become the focus of research on MRI applications for KOA.

A Modern Study on the Treatment of Rheumatoid Arthritis with Bone Marrow Edema by Combining the Ideas of Ye Tianshi in Treating Paralysis

A Modern Study on the Treatment of Rheumatoid Arthritis with Bone Marrow Edema by Combining the Ideas of Ye Tianshi in Treating Paralysis

Bone marrow edema in a postpartum female following ankle sprain: a case report.

Bone marrow edema in a postpartum female following ankle sprain: a case report.

Dual-energy CT: Impact of detecting bone marrow oedema in occult trauma in the Emergency.

Dual-energy computed tomography (DECT) is an advanced imaging technique that acquires data using two distinct X-ray energy spectra, typically at 80 and 140 kVp, to differentiate materials based on their atomic number and electron density. This capability allows for the enhanced visualisation of various pathologies, including bone marrow oedema (BMO), by providing high-resolution images with notable energy spectral separation while maintaining radiation doses comparable to conventional CT. DECT's ability to create colour-coded virtual non-calcium (VNCa) images has proven particularly valuable in detecting traumatic bone marrow lesions (BMLs) and subtle fractures, offering a reliable alternative or complement to MRI. DECT has emerged as a significant tool in the detection and characterisation of bone marrow pathologies, especially in traumatic injuries. Its ability to generate high-resolution images and distinguish between different tissue types makes it a valuable asset in clinical diagnostics. With its comparable diagnostic accuracy to MRI and the added advantage of reduced examination time and increased availability, DECT represents a promising advancement in the imaging of BMO and related conditions.

Magnetic resonance imaging of the musculoskeletal system in the diagnosis of rheumatic diseases in the pediatric population.

Magnetic resonance imaging (MRI) of the musculoskeletal system is an examination increasingly performed for suspected juvenile idiopathic arthritis, chronic nonbacterial osteomyelitis and juvenile idiopathic inflammatory myopathies, as well as other rheumatic diseases of developmental age. T1-, T2- and PD-weighted with or without fat suppression or short tau inversion recovery/turbo inversion recovery magnitude (STIR/TIRM) sequences and post-contrast sequences are evaluated to diagnose pathological changes in the synovial membrane, subchondral bone marrow and surrounding soft tissues. Magnetic resonance imaging allows detection of synovitis, tenosynovitis, bursitis, and enthesitis as well as bone marrow edema and soft tissue edema. Several pediatric-specific MRI scoring systems have been developed and validated to standardize and facilitate the assessment of the extent of the inflammatory process and disease activity in MRI. Early detection of inflammatory changes allows the inclusion of comprehensive pharmacotherapy giving the possibility of permanent remission and objective measurement of the effectiveness of treatment.

Magnetic Resonance Imaging in the Evaluation of Avulsion Injuries of the Pelvis and Hip in Adolescent Professional Footballers: A Case Series.

Pelvic apophyseal avulsion fractures are uncommon injuries that frequently affect adolescents while participating in sports. This occurs because the enthesis cannot withstand the tractional force applied because the apophysis has not yet fully fused. Due to its complex muscular structure, being the origin of several muscles that cross two lower extremity joints, the pelvis has an increased risk for such injuries. The diagnosis of pelvic avulsion injuries depends heavily on imaging. The best way to detect soft-tissue changes, including tendon or muscle strain, bone marrow edema, hematomas, and soft tissue avulsion injuries, is with an magnetic resonance imaging . It is also the best at showing tendon retraction and can help the clinician spot patients who might benefit from surgical treatment. We report six cases of adolescents professional footballers that suffered avulsion injuries while playing football. The patients had painfully restricted hip range of motion and were unable to bear weight. Some of them on physical examination felt pain at the palpation of the injured area. Magnetic resonance revealed apophysis growth plate avulsion with or without displaced bone fragments that were treated conservatively with an excellent clinical and radiological outcome. For an accurate diagnosis of pelvic avulsion injuries and clinical management, it is important that everyone caring for this patient population is aware of the common injury mechanisms, radiographic findings, and available treatments.

Use of Focused Shock Waves in an Acute Talar Head Fracture

Talar fractures are rare and can be difficult to manage. Even in the absence of complications, the treatment of this type of injury can be prolonged and uncomfortable for the patient. Focused shock waves have been shown to be effective in the treatment of delayed unions and non-unions. In this case report, we share our experience with the use of focused shock waves in an acute talus fracture in a patient with risk factors for healing. Keywords: Talus, Talar fractures, Shock waves, Bone marrow edema

The sacroiliac joint across ages - what is normal?

The anatomy of the sacroiliac joint (SIJ) is complex with wide variations inter-individually as well as intra-individually (right versus left) and a frequent occurrence of anatomical variants. Besides, the joints are subject to strain, which may elicit non-inflammatory subchondral changes such as bone marrow edema (BME), sclerosis, and fat deposition simulating inflammatory SIJ changes. Furthermore, normal physiological changes during skeletal maturation can make interpretation of SIJ magnetic resonance imaging in children challenging. Knowledge about the wide range of normal findings is therefore important to avoid misinterpretation of findings as pathological. This review describes the current knowledge about normal SIJ findings across all ages.

Wait-and-scan: an alternative for curettage in atypical cartilaginous tumours of the long bones.

Due to its indolent clinical behaviour, the treatment paradigm of atypical cartilaginous tumours (ACTs) in the long bones is slowly shifting from intralesional resection (curettage) and local adjuvants, towards active surveillance through wait-and-scan follow-up. In this retrospective cohort study performed in a tertiary referral centre, we studied the natural behaviour of ACT lesions by active surveillance with MRI. Clinical symptoms were not considered in the surveillance programme. The aim of this study was to see whether active surveillance is safe regarding malignant degeneration and local progression. In total, 117 patients were evaluated with MRI assessing growth, cortical destruction, endosteal scalloping, periosteal reaction, relation to the cortex, and perilesional bone marrow oedema. Patients received up to six follow-up scans. At the time of the first follow-up MRI, 8% of the lesions showed growth (n = 9), 86% remained stable (101), and 6% decreased in size (n = 7). During the third follow-up, with a mean follow-up time of 60 months (SD 23), 24 patients were scanned, of whom 13% had lesions that had grown and 13% lesions that had decreased in size. After 96 months (SD 37), at the sixth follow-up MRI, 100% of the lesions remained stable. None of the lesions showed malignant progression and although some lesions grew in size (mean 1 mm (SD 0.8)), no malignant progression occurred. We conclude that active surveillance with MRI is safe for ACTs in the long bones in the short- and mid-term follow-up.

Differential diagnosis of aseptic (avascular) necrosis and stress fracture of the sesamoid bone (review)

Objective. To clarify the features of differential diagnostics of aseptic (avascular) necrosis and stress fracture of the sesamoid bone. Material and methods. Using as key-words «sesamoid bone», «avascular necrosis», «clinical stage» and «treatment» the search of publications in PubMed, Scopus, and MedLine databases was conducted, in which the features of differential diagnostics of aseptic necrosis and stress fracture of sesamoid bone were summarized and analyzed. Results. Slight sclerosis enhancement detected on computed tomography confirms the presence of osteonecrosis of the sesamoid bone, whereas an irregularly shaped fragment with poorly corticated edges on the radiograph indicates a fracture. When radiologic and clinical findings are equivocal, CT and MRI can help identify true fractures by detecting oblique irregular surfaces of fragments. In osteonecrosis, MRI may show changes in the form of bone marrow edema localized to the sesamoid joints. Conclusions. In the article, based on the analysis of literature sources, the features of sesamoid bone anatomy were clarified and generalized, as well as their blood supply was described and the features of differential diagnostics of aseptic necrosis and stress fracture of the sesamoid bone in various localizations were considered. Radiologic stu-dies, including radiography, CT, and MRI, provide useful information about the presence and pathology involving these bones and should be used in conjunction with clinical findings to guide patient management

Deep learning-based automated high-accuracy location and identification of fresh vertebral compression fractures from spinal radiographs: a multicenter cohort study.

Digital radiography (DR) is a common and widely available examination. However, spinal DR cannot detect bone marrow edema, therefore, determining vertebral compression fractures (VCFs), especially fresh VCFs, remains challenging for clinicians. We trained, validated, and externally tested the deep residual network (DRN) model that automated the detection and identification of fresh VCFs from spinal DR images. A total of 1,747 participants from five institutions were enrolled in this study and divided into the training cohort, validation cohort and external test cohorts (YHDH and BMUH cohorts). We evaluated the performance of DRN model based on the area under the receiver operating characteristic curve (AUC), feature attention maps, sensitivity, specificity, and accuracy. We compared it with five other deep learning models and validated and tested the model internally and externally and explored whether it remains highly accurate for an external test cohort. In addition, the influence of old VCFs on the performance of the DRN model was assessed. The AUC was 0.99, 0.89, and 0.88 in the validation, YHDH, and BMUH cohorts, respectively, for the DRN model for detecting and discriminating fresh VCFs. The accuracies were 81.45% and 72.90%, sensitivities were 84.75% and 91.43%, and specificities were 80.25% and 63.89% in the YHDH and BMUH cohorts, respectively. The DRN model generated correct activation on the fresh VCFs and accurate peak responses on the area of the target vertebral body parts and demonstrated better feature representation learning and classification performance. The AUC was 0.90 (95% confidence interval [CI] 0.84-0.95) and 0.84 (95% CI 0.72-0.93) in the non-old VCFs and old VCFs groups, respectively, in the YHDH cohort (p = 0.067). The AUC was 0.89 (95% CI 0.84-0.94) and 0.85 (95% CI 0.72-0.95) in the non-old VCFs and old VCFs groups, respectively, in the BMUH cohort (p = 0.051). In present study, we developed the DRN model for automated diagnosis and identification of fresh VCFs from spinal DR images. The DRN model can provide interpretable attention maps to support the excellent prediction results, which is the key that most clinicians care about when using the model to assist decision-making.

Current MR imaging of cartilage in the context of knee osteoarthritis (part1) : Principles and sequences

Magnetic resonance imaging (MRI) is the clinical method of choice for cartilage imaging in the context of degenerative and nondegenerative joint diseases. The MRI-based definitions of osteoarthritis rely on the detection of osteophytes, cartilage pathologies, bone marrow edema and meniscal lesions but currently ascientific consensus is lacking. In the clinical routine proton density-weighted, fat-suppressed 2D turbo spin echo sequences with echo times of 30-40 ms are predominantly used, which are sufficiently sensitive and specific for the assessment of cartilage. The additionally acquired T1-weighted sequences are primarily used for evaluating other intra-articular and periarticular structures. Diagnostically relevant artifacts include magic angle and chemical shift artifacts, which can lead to artificial signal enhancement in cartilage or incorrect representations of the subchondral lamina and its thickness. Although scientifically validated, high-resolution 3D gradient echo sequences (for cartilage segmentation) and compositional MR sequences (for quantification of physical tissue parameters) are currently reserved for scientific research questions. The future integration of artificial intelligence techniques in areas such as image reconstruction (to reduce scan times while maintaining image quality), image analysis (for automated identification of cartilage defects), and image postprocessing (for automated segmentation of cartilage in terms of volume and thickness) will significantly improve the diagnostic workflow and advance the field further.

Effects of disease-modifying anti-rheumatic drugs on sacroiliac MRI score in axial spondyloarthritis: a systematic review and meta-analysis.

Sacroiliac bone marrow edema is an important factor in the diagnosis and management of axial spondyloarthritis (axSpA). The aim of this meta-analysis is to assess the effect of the different bDMARDs and tsDMARDs on the SPARCC score at 12-16 and 48-52 weeks. A systematic review, performed on PubMed (including Medline), Cochrane (CENTRAL) and DOAJ databases, included randomized controlled studies evaluating the sacroiliac joint (SIJ) SPARCC score at 12-16 or 48-52 weeks in patients with axSpA meeting the ASAS 2009 criteria or the modified New York criteria. We included studies evaluating the effects of the different treatments on the SPARCC score of SIJ in axial spondyloarthritis in comparison to a control group. Eighteen studies were included in the meta-analysis. Nine studies evaluated the effect of TNFα inhibitors (TNFi), three for IL-17 inhibitors, and four for JAK inhibitors. At 12 and 16 weeks, SIJ SPARCC score was significantly improved by TNFi (WMD: - 3.29 [95% CI - 4.25; - 2, 34]), by IL-17 inhibitors (WMD: - 4.66 [95% CI - 6.22; - 3.09]), and by JAK inhibitors (JAKi) (WMD: - 3.06 [95% CI - 3.24; - 2.89]). There was no difference between the molecule subgroups. At 48-52 weeks, TNFα inhibitors reduced more SIJ SPARCC, but not significantly (WMD: - 2.26 [95% CI - 4.94; 0.42]), than placebo groups who began a TNFi treatment with delay. Our meta-analysis shows a comparable improvement of the SIJ SPARCC score regarding TNFi, JAKi, and IL-17 inhibitors at three months and suggests the presence of an opportunity window. Key Points • Anti-TNF Ab, anti-IL17 Ab, and JAK inhibitor treatments reduce the sacroiliac joint SPARCC scores. • There is no difference between the different treatments in the reduction of the sacroiliac joint SPARCC score after 3 months in axial spondyloarthritis.

Analysis of influence of MR signs on Harris score in ARCO stages 2-4 femoral head necrosis

To analysis and determine MR signs of Harris score ARCO stages 2-4 in osteonecrosis of femoral head (ONFH). Thirty-four patients with ONFH of ARCO stages 2 to 4 who underwent routine MR, T2 mapping, 3D-SPACE sequence examination and Harris score were retrospectively collected from January 2019 to June 2020, and 3 patients were excluded, and 31 patients were finally included, including 23 males and 8 females, aged from 18 to 62 years old with an average of(40.0±10.8) years old. Among them 21 patients with bilateral femoral head necrosis, totally 52 cases, including 17 with ARCO stage 2 patients, 24 ARCO stage 3, and 11 ARCO stage 4. MR imaging signs (femoral head collapse depth, ONFH index, bone marrow edema, hyperplasia, grade and T2 value of cartilage injury, and joint effusion) were scored and measured on the picture archiving and communication system (PACS) workstation, and the cartilage quantitative parameter T2 value was calculated and measured on Siemens postprocessing workstation. Pearson correlation analysis was used to evaluate the correlation between various MR signs and Harris score, and then multiple linear regression analysis was used to examine impact of MR signs on Harris hip score. Femoral head collapse depth(r=-0.563, P=0.000), grade of cartilage injury(r=-0.500, P=0.000), and joint effusion (r=-0.535, P=0.000) were negatively correlated with Harris score by Pearson correlation analysis. Multiple linear regression analysis showed that joint effusion(β=-6.198, P=0.001) and femoral head collapse depth(β=-4.085, P=0.014) had a significant negative impact on Harris hip score. Femoral head collapse depth and joint effusion both had significant negative relationship with Harris hip score. It is recommended to routinely evaluate femoral head collapse depth and joint effusion quantitatively and gradedly, so as to efficiently and accurately assist clinical diagnosis and treatment.

To study magnetic resonance imaging findings and inflammatory markers in inflammatory sacroiliitis

Objectives: The objectives of the study are to determine magnetic resonance imaging (MRI) findings in inflammatory sacroiliitis and assign scores and grades to it and to determine and correlate erythrocyte sedimentation rate, C-reactive protein (CRP), and human leukocyte antigen-B27 (HLA-B27) in various grades of sacroiliitis. Material and Methods: An observational cross-sectional study was conducted on 30 patients who clinically presented with features of sacroiliitis and underwent an MRI of sacroiliac joint (SIJ). Various inflammatory and structural findings on MRI were used to do Spondyloarthritis Research Consortium of Canada scoring and grading. Then inflammatory markers including erythrocyte sedimentation rate, CRP, and HLA-B27 were studied in various grades of sacroiliitis. Results: Inflammatory sacroiliitis affects commonly the age group of 21–40 years. Periarticular edema was the most common finding seen with the iliac aspect more commonly involved. The majority of the subjects were graded moderate (50%). Values of erythrocyte sedimentation rate and CRP levels were raised whereas HLA-B27 was positive in 9 patients (30%) of inflammatory sacroiliitis. Conclusion: Inflammatory sacroiliitis presents with a chief complaint of low back ache. MRI helps to grade it into mild, moderate, and severe. STIR is the most sensitive sequence for the detection of bone marrow edema with bilateral symmetrical involvement but the iliac bone of SIJ is more involved than the sacral side. Contrast-enhanced sequences and diffusion images add no significant statistical role in the diagnosis of bone marrow edema. Inflammatory laboratory parameters were increased in higher grades of sacroiliitis. HLA-B27, although not specific to inflammatory sacroiliitis, increases in higher grades of sacroiliitis.

Comparative analysis of the results of multispiral computed tomography using color mapping and magnetic resonance imaging in the diagnosis of acute hematogenous osteomyelitis in children

BACKGROUND: Although acute hematogenous osteomyelitis is considered a fairly well-studied disease, several articles emphasize that the frequency of diagnostic errors remains quite high. The clinical presentation of acute hematogenous osteomyelitis largely depends on its reactivity and localization. The latter has features of the clinical course in children of different age groups. Osteomyelitis can be difficult to detect because of the variability and nonspecificity of symptoms and physical and laboratory parameters. Rapid diagnosis is crucial for successful disease outcomes because untimely treatment increases the number of complications. Therefore, visualization should be aimed at early diagnosis and, ultimately, successful treatment.&#x0D; AIM: This study aimed to evaluate the informative value of magnetic resonance imaging and multispiral computed tomography (MSCT) in the diagnosis of the intramedullary phase of acute hematogenous osteomyelitis as its earliest stage.&#x0D; MATERIALS AND METHODS: Thirty patients suspected with acute hematogenous osteomyelitis underwent magnetic resonance imaging and MSCT using color mapping techniques and X-ray density assessment. At the final stage of the diagnostic algorithm, osteotonometry was performed. The contents of the bone marrow canal were taken for microbiological and bacteriological studies.&#x0D; RESULTS: In the intramedullary phase of acute hematogenous osteomyelitis, magnetic resonance imaging and MSCT revealed signs of bone marrow edema in 96% of the cases. The sensitivity of magnetic resonance imaging was 96%, the same as that of MSCT; however, the specificity was significantly lower than that of MSCT using the color mapping method and X-ray density assessment, which was 67% and 83%, respectively (p 0.05).&#x0D; DISCUSSION: In recent years, the role of computed tomography in the diagnosis of acute hematogenous osteomyelitis has received considerable recognition in pediatric surgical practice, and MSCT with color mapping and X-ray density assessment in the diagnosis of acute hematogenous osteomyelitis in children has been used relatively recently. Simultaneously, many researchers have reported the high informativeness of MSCT in the diagnosis of acute hematogenous osteomyelitis.&#x0D; CONCLUSIONS: The intramedullary phase of acute hematogenous osteomyelitis according to magnetic resonance imaging and MSCT indicates bone marrow edema as its earliest stage. According to the data of the present study, MSCT using color mapping and X-ray density assessment has high specificity and can be used with MRI as the main method for diagnosing the intramedullary phase of acute hematogenous osteomyelitis.