Whole-Body MRI in Musculoskeletal Oncology: A Comprehensive Review with Recommendations

Whole-body Magnetic Resonance Imaging in Inflammatory Spine and Joint Disease

Whole-body magnetic resonance imaging (WB-MRI) can effectively diagnose rheumatologic diseases with systemic and multifocal characteristics, such as spondyloarthritis, chronic recurrent multifocal osteomyelitis, and synovitis, acne, pustulosis, hyperostosis, and osteitis (SAPHO) syndrome, among others. Advances in rheumatic disease treatments have emphasized the importance of early diagnosis for effective management, function preservation, and improved quality of life. WB-MRI offers comprehensive imaging of the musculoskeletal system, detecting early and subtle disease changes that traditional methods might overlook. Initially used for spondyloarthritis, the technique has recently expanded to other rheumatic diseases and is becoming the gold standard for diagnosing and monitoring chronic nonbacterial osteomyelitis in pediatric patients. This review article presents the current status of WB-MRI in rheumatologic conditions.

Image quality of whole-body diffusion MR images comparing deep-learning accelerated and conventional sequences

OBJECTIVES

To compare the image quality of deep learning accelerated whole-body (WB) with conventional diffusion sequences.

METHODS

Fifty consecutive patients with bone marrow cancer underwent WB-MRI. Two experts compared axial b900 s/mm2 and the corresponding maximum intensity projections (MIP) of deep resolve boost (DRB) accelerated diffusion-weighted imaging (DWI) sequences (time of acquisition: 6:42 min) against conventional sequences (time of acquisition: 14 min). Readers assessed paired images for noise, artefacts, signal fat suppression, and lesion conspicuity using Likert scales, also expressing their overall subjective preference. Signal-to-noise and contrast-to-noise ratios (SNR and CNR) and the apparent diffusion coefficient (ADC) values of normal tissues and cancer lesions were statistically compared.

RESULTS

Overall, radiologists preferred either axial DRB b900 and/or corresponding MIP images in almost 80% of the patients, particularly in patients with a high body-mass index (BMI > 25 kg/m2). In qualitative assessments, axial DRB images were preferred (preferred/strongly preferred) in 56-100% of cases, whereas DRB MIP images were favoured in 52-96% of cases. DRB-SNR/CNR was higher in all normal tissues (p < 0.05). For cancer lesions, the DRB-SNR was higher (p < 0.001), but the CNR was not different. DRB-ADC values were significantly higher for the brain and psoas muscles, but not for cancer lesions (mean difference: + 53 µm2/s). Inter-class correlation coefficient analysis showed good to excellent agreement (95% CI 0.75-0.93).

CONCLUSION

DRB sequences produce higher-quality axial DWI, resulting in improved MIPs and significantly reduced acquisition times. However, differences in the ADC values of normal tissues need to be considered.

CLINICAL RELEVANCE STATEMENT

Deep learning accelerated diffusion sequences produce high-quality axial images and MIP at reduced acquisition times. This advancement could enable the increased adoption of Whole Body-MRI for the evaluation of patients with bone marrow cancer.

KEY POINTS

Deep learning reconstruction enables a more than 50% reduction in acquisition time for WB diffusion sequences. DRB images were preferred by radiologists in almost 80% of cases due to fewer artefacts, improved background signal suppression, higher signal-to-noise ratio, and increased lesion conspicuity in patients with higher body mass index. Cancer lesion diffusivity from DRB images was not different from conventional sequences.

Update on Whole-Body MRI Surveillance for Pediatric Cancer Predisposition Syndromes

Whole-body MRI (WBMRI) is an integral part of screening infants, children, and adolescents for presymptomatic neoplasms in certain cancer predisposition syndromes, which include Li-Fraumeni and constitutional mismatch repair deficiency syndromes, among others. The list of syndromes in which WBMRI adds value, as part of a comprehensive surveillance protocol, continues to evolve in response to new evidence, growing experience, and more widespread adoption. In July 2023, the AACR reconvened an international, multidisciplinary panel to revise and update recommendations stemming from the 2016 AACR Special Workshop on Childhood Cancer Predisposition. That initial meeting resulted in a series of publications in Clinical Cancer Research in 2017, including "Pediatric Cancer Predisposition Imaging: Focus on Whole-Body MRI." This 2024 review of WBMRI in cancer predisposition syndrome updates the 2017 WBMRI publication, the revised recommendations derived from the 2023 AACR Childhood Cancer Predisposition Workshop based on available data, societal guidelines, and expert opinion. Different aspects of acquiring and interpreting WBMRI, including diagnostic accuracy, are discussed. The application of WBMRI in resource-poor environments, as well as integration of whole-body imaging techniques with emerging technologies, such as cell-free DNA ("liquid biopsies") and artificial intelligence/machine learning, is also considered.

Whole-body magnetic resonance imaging for staging patients with high-risk prostate cancer

BACKGROUND

Staging patients with high-risk prostate cancer (HRPCa) with conventional imaging of computed tomography (CT) and bone scintigraphy (BS) is suboptimal. Therefore, we aimed to compare the accuracy of whole-body magnetic resonance imaging (WBMRI) with conventional imaging to stage patients with HRPCa.

METHODS

We prospectively enrolled patients with newly diagnosed HRPCa (prostate-specific antigen ≥20 ng/ml and/or Grade Group ≥4). Patients underwent BS, CT of the abdomen and pelvis, and WBMRI within 30 days of evaluation. The primary endpoint was the diagnostic performances of detecting metastatic disease to the lymph nodes and bone for WBMRI and conventional imaging. The reference standard was defined by histopathology or by all available clinical information at 6 months of follow-up. To compare diagnostic tests, Exact McNemar's test and area under the curve (AUC) of the receiver operating characteristics curves were utilized.

RESULTS

Among 92 patients enrolled, 15 (16.3%) and 8 (8.7%) patients were found to have lymphatic and bone metastases, respectively. The sensitivity, specificity, and accuracy of WBMRI in detecting lymphatic metastases were 0.60 (95% confidence interval 0.32-0.84), 0.84 (0.74-0.92), and 0.80 (0.71-0.88), respectively, while CT were 0.20 (0.04-0.48), 0.92 (0.84-0.97), and 0.80 (0.71-0.88). The sensitivity, specificity, and accuracy of WBMRI to detect bone metastases were 0.25 (0.03-0.65), 0.94 (0.87-0.98), and 0.88 (0.80-0.94), respectively, while CT and BS were 0.12 (0-0.53), 0.94 (0.87-0.98), and 0.87 (0.78-0.93). For evaluating lymphatic metastases, WBMRI demonstrated a higher sensitivity (p = 0.031) and discrimination compared to CT (0.72 versus 0.56, p = 0.019).

CONCLUSIONS

For staging patients with HRPCa, WBMRI outperforms CT in the detection of lymphatic metastases and performs as well as CT and BS in the detection of bone metastases. Further studies are needed to assess the cost effectiveness of WBMRI and the utility of combined PSMA PET and WBMRI.

The role of imaging in extremity sarcoma surgery

The surgical management of extremity bone and soft tissue sarcomas has evolved significantly over the last 50 years. The introduction and refinement of high-resolution cross-sectional imaging has allowed accurate assessment of anatomy and tumor extent, and in the current era more than 90% of patients can successfully undergo limb-salvage surgery. Advances in imaging have also revolutionized the clinician's ability to assess treatment response, detect metastatic disease, and perform intraoperative surgical navigation. This review summarizes the broad and essential role radiology plays in caring for sarcoma patients from diagnosis to post-treatment surveillance. Present evidence-based imaging paradigms are highlighted along with key future directions.

Bone tumors: state-of-the-art imaging

Imaging plays a central role in the management of patients with bone tumors. A number of imaging modalities are available, with different techniques having unique applications that render their use advantageous for various clinical purposes. Coupled with detailed clinical assessment, radiological imaging can assist clinicians in reaching a proper diagnosis, determining appropriate management, evaluating response to treatment, and monitoring for tumor recurrence. Although radiography is still the initial imaging test of choice for a patient presenting with a suspected bone tumor, technological innovations in the last decades have advanced the role of other imaging modalities for assessing bone tumors, including advances in computed tomography, magnetic resonance imaging, scintigraphy, and hybrid imaging techniques that combine two existing modalities, providing clinicians with diverse tools for bone tumor imaging applications. Determining the most suitable modality to use for a particular application requires familiarity with the modality in question, its advancements, and its limitations. This review highlights the various imaging techniques currently available and emphasizes the latest developments in imaging, offering a framework that can help guide the imaging of patients with bone tumors.

Whole-body MRI in oncology: A comprehensive review

Whole-Body Magnetic Resonance Imaging (WB-MRI) has cemented its position as a pivotal tool in oncological diagnostics. It offers unparalleled soft tissue contrast resolution and the advantage of sidestepping ionizing radiation. This review explores the diverse applications of WB-MRI in oncology. We discuss its transformative role in detecting and diagnosing a spectrum of cancers, emphasizing conditions like multiple myeloma and cancers with a proclivity for bone metastases. WB-MRI's capability to encompass the entire body in a singular scan has ushered in novel paradigms in cancer screening, especially for individuals harboring hereditary cancer syndromes or at heightened risk for metastatic disease. Additionally, its contribution to the clinical landscape, aiding in the holistic management of multifocal and systemic malignancies, is explored. The article accentuates the technical strides achieved in WB-MRI, its myriad clinical utilities, and the challenges in integration into standard oncological care. In essence, this review underscores the transformative potential of WB-MRI, emphasizing its promise as a cornerstone modality in shaping the future trajectory of cancer diagnostics and treatment.