Spinal MRI Research Articles

Baastrup’s disease prevalence across various age groups and its association with degenerative changes: insights from STIR sequence in MRI

PurposeBaastrup’s disease is characterized by abnormal contact between adjacent spinous processes. Our study is the first to systematically incorporate the STIR sequence, recognized for its heightened sensitivity to fluid and edema, into the MRI protocol for diagnosing Baastrup’s disease in symptomatic individuals. The objective is to determine its prevalence and association with lumbar spinal degenerative changes.Materials and methodsLumbar spinal MRI examinations of 375 patients performed between January 2021 and 2022 were retrospectively reviewed by two radiologists. Baastrup’s disease was diagnosed based on meeting any of the following criteria: lumbar interspinous bursitis, hyperintense signal changes in adjacent spinous processes, and ligaments on the STIR sequence. The study also investigated the presence of degenerative changes and interreader agreement among radiologists.ResultsBaastrup’s disease was found in 141 of 375 individuals (37.8%). It correlated significantly with degenerative lumbar changes such as bulging (P = 0.0012), herniation (P = 0.0033), disc degeneration (P = 0.0013), Modic changes (P = 0.034), facet osteoarthritis (P = 0.0041), spinal stenosis (P = 0.005), and anterolisthesis (P = 0.0049). No significant associations were observed with gender (P = 0.468) or retrolisthesis (P = 0.167). Its occurrence increased gradually, peaking at 87.5% in individuals aged 80 and above. Radiologists showed complete agreement with Baastrup’s diagnoses.ConclusionBaastrup’s disease is more commonly observed than being considered rare, displaying an incremental occurrence with increasing age in symptomatic individuals notably discernible on the STIR sequence. Using the STIR sequence seems to promote a consensus among radiologists, irrespective of their experience levels.

Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.

The aim of this study was to investigate whether super-resolution deep learning reconstruction (SR-DLR) is superior to conventional deep learning reconstruction (DLR) with respect to interobserver agreement in the evaluation of neuroforaminal stenosis using 1.5T cervical spine MRI. This retrospective study included 39 patients who underwent 1.5T cervical spine MRI. T2-weighted sagittal images were reconstructed with SR-DLR and DLR. Three blinded radiologists independently evaluated the images in terms of the degree of neuroforaminal stenosis, depictions of the vertebrae, spinal cord and neural foramina, sharpness, noise, artefacts and diagnostic acceptability. In quantitative image analyses, a fourth radiologist evaluated the signal-to-noise ratio (SNR) by placing a circular or ovoid region of interest on the spinal cord, and the edge slope based on a linear region of interest placed across the surface of the spinal cord. Interobserver agreement in the evaluations of neuroforaminal stenosis using SR-DLR and DLR was 0.422-0.571 and 0.410-0.542, respectively. The kappa values between reader 1 vs. reader 2 and reader 2 vs. reader 3 significantly differed. Two of the three readers rated depictions of the spinal cord, sharpness, and diagnostic acceptability as significantly better with SR-DLR than with DLR. Both SNR and edge slope (/mm) were also significantly better with SR-DLR (12.9 and 6031, respectively) than with DLR (11.5 and 3741, respectively) (p < 0.001 for both). In conclusion, compared to DLR, SR-DLR improved interobserver agreement in the evaluations of neuroforaminal stenosis using 1.5T cervical spine MRI.

E042 Referrals for back pain to rheumatology outpatients: time to rethink service delivery?

Abstract Background/Aims Diagnostic delay in inflammatory and mechanical back pain (IBP and MBP) is a challenge, leading to time-off-work, mental health deterioration and chronicity of pain. Here we describe referral and follow-up characteristics in patients referred to a rheumatology service with back pain. By identifying these patients earlier and having a more proactive approach we may be able to reduce diagnostic delay and prevent some of this burden. Methods All new patients attending rheumatology outpatients at Guys and St Thomas’ Trust in London, UK are routinely sent a digital pre-appointment questionnaire to complete prior to initial visit. Between 21/06/2021 and 20/10/2022, 137 patients referred with back pain completed this questionnaire, which included the Assessment of SpondyloArthritis International Society (ASAS) IBP criteria. Clinical records were reviewed until June 2023. Results Our cohort had a mean (SD) age of 40.5(13.5) years, 50% were female and 66% were referred from primary care. Average symptom duration was 5.2(6.1) years. A primary diagnosis of axial spondyloarthritis was made in 41%, 53% were diagnosed with MBP and 6% had MBP on a background of other inflammatory disease. Incomplete data was an issue, with only 54% of the referrals having a CRP result, 50% having an ESR result and 22% with HLAB27 done and result available at referral. Rheumatology requested an MRI spine in 61% of back pain referrals. Of the 38% with a prior MRI, 15% did not have the result available at first rheumatology visit, 21% did not have the correct MRI protocol done and 17% had a further MRI spine done through rheumatology clinic. Overall, 92% of patients had at least one MRI spine done. The referral to new appointment wait time in this cohort was 19.4 (41.4) weeks and new visit to first follow-up visit duration of 18.2(13.0) weeks. Only 18% of patients were referred for back pain physiotherapy prior to being seen in rheumatology, with 20% referred at first rheumatology visit and 38% referred after this time. Of those with MBP, 96% were discharged with 82% being discharged after one follow-up i.e. after reviewing new investigation results. Conclusion Delay in time to diagnosis and management of back pain is considerable, with long referral to review and follow-up times and less than 1/5 patients referred for physiotherapy prior to being seen in secondary care. With 92% of patients having at least one MRI spine done, there is a call for front-loading new back pain referrals with appropriate MRI spine imaging at point of vetting along with appropriate blood tests, which we feel would help reduce diagnostic delay and be in line with the UK Getting It Right First Time (GIRFT) programme which advocates that quality care is given first time, every time. Disclosure N. Arumalla: None. E. Okoye: None. R. Jones: None. F. Humby: None. S. Subesinghe: None. T. Golding: None. T. Garrood: Shareholder/stock ownership; Serac Healthcare. Honoraria; UCB, Abbvie. Grants/research support; Versus Arthritis, Pfizer, Gilead, Guy’s and St Thomas’ Charity, NHSX. Other; Fresnius-Kabi. R. Byng-Maddick: None.

P026 Neurofascin antibodies complicating a case of severe systemic lupus erythematosus

Abstract Background/Aims Juvenile-onset systemic lupus erythematosus (jSLE) is an autoimmune disease that results in increased disease activity and damage compared to adult-onset SLE. There is increased medication burden, severe organ manifestations and higher incidence of renal, cardiovascular and neuropsychiatric (NP) involvement. Anti-nervous system (NS) antibodies are seen across immune mediated diseases including SLE. Myelin oligodendrocyte glycoprotein (MOG) and neurofascin (NF) 186 antibodies are particularly associated with higher frequencies of NP-SLE. These patients can present with the distinct clinical phenotype associated with that antibody (i.e., demyelination with MOG, neuropathy with NF186). Methods We present an SLE patient with progressive neurological features and anti-NF antibodies who responds well to ocrelizumab after modest response to initial immunotherapy. Results An 18 year old female has active jSLE including malar rash, alopecia, arthralgia, aphthous ulcers, headaches. She presents with lower limb and ascending abdominal paraesthesia and left 6th cranial nerve palsy alongside a recent respiratory tract infection. ANA 1:5120 homogenous pattern, high dsDNA, low C3 and C4, thrombocytopenia and antibodies to Sm, Ro, RNP, anti-Rib-P and strongly positive lupus anticoagulant antibodies and low titre anti-cardiolipin (aCL) IgG and IgM. Lumbar puncture is unremarkable. Nerve conduction studies (NCS) demonstrate progressive predominant motor inflammatory neuropathy without demyelination. CT, MRI brain and MRI spine are normal. She is treated as atypical Guillain-Barre Syndrome (GBS)/ Miller-Fischer with 5 days IV immunoglobulin 2g/kg and also for active SLE with 3 days 500mg IV methylprednisolone. She is intubated following worsening dysphagia, dysarthria, muscle weakness and reduced consciousness. Plasma exchange and pulsed cyclophosphamide are subsequently given. Eye and facial movements worsen with NCS showing worsening patchy axonal sensorimotor polyneuropathy. Serial MRI brain is suggestive of posterior reversible encephalopathy syndrome (PRES). Autonomic instability is seen with labile blood pressure and tachycardia. Given the unusual presentation, anti-NF antibodies are tested and identified at 1:3200 positive, NF155 and 186, both IgG1 and IgG2. Given previous adverse reaction to rituximab, she received ocrelizumab which lead to a marked improvement in her sensorimotor symptoms and functionality. C3 and C4 levels show considerable improvement which is sustained and dsDNA levels normalise. B cell depletion therapy was chosen following a small case series of patients with neurofascin antibodies who developed severe autoimmune neuropathies. Half of these patients responded well to rituximab. One proposed mechanism being the targeting of immature CD20+ B cells inhibits plasmablast generation, which may be responsible for neurofascin antibody production early on in the disease. Conclusion Anti-NS antibodies are seen in SLE patients and their presence can suggest increased frequency of NP-SLE suggesting a potential future role as a biomarker. One should consider anti-NF antibody testing in patients with a GBS-like illness with progressive neuropathy, respiratory involvement and autonomic dysfunction despite standard immunotherapy. Disclosure P. Yee: None. M. Mouyis: None.

E030 Osteonecrosis of the spine in antiphospholipid antibody syndrome

Abstract Background/Aims Osteonecrosis (ON) is a well-known complication of several rheumatic diseases, affecting the hip, knee, shoulder, or ankle. The involvement of spine and other sites with ON has been reported with catastrophic APS, although the nature of this association is not completely clear. In antiphospholipid syndrome, thrombosis of blood vessels is considered a possible mechanism, along with other risk factors, such as active disease, thrombocytopenia, glucocorticoid use and associated autoimmune diseases, making the pathophysiology multifactorial. We report a case of a 66-year-old male with APS who developed bone infarcts/osteonecrosis after withdrawal of anticoagulation for APS, which was necessitated by a bleeding complication and introduction of steroids for immune thrombocytopenia. Methods A 66-year-old male came to us with history of unprovoked deep vein thrombosis (DVT) for which he was on antiplatelet and anticoagulation for over 20 years. He was diagnosed to have high titre anti cardiolipin antibody (ACA)(186 U/ml) without other autoimmune conditions. He had an episode of bladder hematoma in August 2022, needing his anticoagulation to be suspended temporarily. He was also found to have profound thrombocytopenia with raised inflammatory markers. Considering it to be immune mediated he was started on high dose oral corticosteroids and was later maintained with azathioprine while the oral prednisolone dose was gradually brought down to 10 mg daily in about 3 months’ time. His thrombocytopenia improved progressively however he developed an unprovoked DVT in October 2022 and was restarted on anticoagulation. He continued to have low dose steroids for about 6 months. Meanwhile, he started having a new onset of low back pain in December 2022. An MRI of the whole spine showed multilevel osteonecrosis with haemorrhagic cavities in a few vertebral bodies. Results This case highlights three interesting points. The first is the atypical presentation of the osteonecrosis involving vertebral bodies. Osteonecrotic lesions in the spine of a patient with catastrophic primary antiphospholipid syndrome has been reported. Our case signifies that although vertebral bodies are an uncommon site for avascular necrosis in patients with APS, it is not rare. Secondly, the pathogenesis of ON is complex. Whether ACA are directly responsible for this condition or whether they are the bystanders remains controversial. ACA have shown to be an independent risk factor for developing ON in many studies. Thirdly, steroids are known to be an important risk factor in patients presenting with osteonecrosis. The vascular compromise could be attributed to a steroid induced hypercoagulative state, abnormal lipid metabolism, or fat embolism. Conclusion ON in APS is unusual and its underlying pathophysiology remains multifactorial. However, when complicated by the high ACA levels, active disease, difficult anticoagulation (bleeding tendencies), thrombocytopenia or prolonged use of steroids, it can lead to hypercoagulable state causing micro thrombosis and avascularisation. Disclosure M. Shah: None. K. Putchakayala: None.

E048 Spinal gout: an unusual cause of paraplegia

Abstract Background/Aims Gout is a common inflammatory arthritis caused by the deposition of monosodium urate crystals. Gout usually causes peripheral joint arthritis. Axial involvement is likely under-recognised, affecting an estimated 10-20% of gout patients. Spinal gout is an established phenomenon in patients with chronic tophaceous gout and sustained hyperuricaemia. Gout can affect any segment of the spine. Clinical presentation of spinal gout is variable including back pain, radiculopathy and cord compression. Due to its nonspecific presentation, it can be confused for other spinal pathologies such as epidural abscess, malignancy, spondylodiscitis and vertebral osteomyelitis. Methods We present a case report of a young male with tophaceous gout of the thoracic spine. Results A 37 year old man presented with 4 day history of acute thoracic back pain followed by flaccid lower limb paralysis. He was morbidly obese (BMI 60) and had a 13-year history of poorly controlled gout with most recent uric acid being 627. He had previously declined urate lowering therapy but commenced allopurinol treatment one month prior to admission. On examination power was 0/5 in both lower limbs with absent reflexes and a T12 sensory level. MRI showed multi-level facet joint arthropathy. An epidural collection was present at T8-10, causing complete occlusion of the vertebral artery. He underwent an urgent posterior thoracic decompression. ‘White cheese like epidural pus’ was removed and he was initially treated as facet joint infection. He had ongoing fevers [&amp;gt;38.5C], despite empirical antibiotics, and C-reactive-protein was persistently elevated [highest at 360mg/L]. Uric acid was 423. Enrichment culture of the epidural collection and serial blood cultures were negative. Repeat MRI of spine did not demonstrate any reoccurrence of collection. Subsequently the histology of the epidural collection was reported as characteristic of gout with ‘amorphous material and giant cells’. No urate crystals were identified as the sample was prepared with formalin, which would have dissolved any crystals present. He was referred to rheumatology who identified synovitis in his hands, wrist and elbows, consistent with active polyarticular gout. There were small tophi present on his heels and pinna. The patient was commenced on oral prednisolone and allopurinol was rapidly up-titrated. Unfortunately, the patient did not recover neurological function. Conclusion We present a unique case of acutely presenting tophaceous thoracic spinal gout causing irreversible paraplegia in a young patient, mimicking an epidural abscess. Our patient had hyperuricaemia for over 10 years without treatment, raising his risk of axial complications. A high index of suspicion for spinal gout is needed for patients presenting with acute back pain and neurological symptoms with a history of chronic gout. This case highlights diagnostic challenges in identifying spinal gout and the importance of treating tophaceous gout early to prevent devastating long-term complications. Disclosure C.A. Zollinger-Read: None. M. Cox: None. R. Kumari: None.

Diagnostic performance of [68Ga]DOTATATE PET/CT, [18F]FDG PET/CT, MRI of the spine, and whole-body diagnostic CT and MRI in the detection of spinal bone metastases associated with pheochromocytoma and paraganglioma

ObjectiveTo compare the diagnostic performance of [68Ga]DOTATATE PET/CT, [18F]FDG PET/CT, MRI of the spine, and whole-body CT and MRI for the detection of pheochromocytoma/paraganglioma (PPGL)–related spinal bone metastases.Materials and methodsBetween 2014 and 2020, PPGL participants with spinal bone metastases prospectively underwent [68Ga]DOTATATE PET/CT, [18F]FDG PET/CT, MRI of the cervical-thoracolumbar spine (MRIspine), contrast-enhanced MRI of the neck and thoraco-abdominopelvic regions (MRIWB), and contrast-enhanced CT of the neck and thoraco-abdominopelvic regions (CTWB). Per-patient and per-lesion detection rates were calculated. Counting of spinal bone metastases was limited to a maximum of one lesion per vertebrae. A composite of all functional and anatomic imaging served as an imaging comparator. The McNemar test compared detection rates between the scans. Two-sided p values were reported.ResultsForty-three consecutive participants (mean age, 41.7 ± 15.7 years; females, 22) with MRIspine were included who also underwent [68Ga]DOTATATE PET/CT (n = 43), [18F]FDG PET/CT (n = 43), MRIWB (n = 24), and CTWB (n = 33). Forty-one of 43 participants were positive for spinal bone metastases, with 382 lesions on the imaging comparator. [68Ga]DOTATATE PET/CT demonstrated a per-lesion detection rate of 377/382 (98.7%) which was superior compared to [18F]FDG (72.0%, 275/382, p < 0.001), MRIspine (80.6%, 308/382, p < 0.001), MRIWB (55.3%, 136/246, p < 0.001), and CTWB (44.8%, 132/295, p < 0.001). The per-patient detection rate of [68Ga]DOTATATE PET/CT was 41/41 (100%) which was higher compared to [18F]FDG PET/CT (90.2%, 37/41, p = 0.13), MRIspine (97.6%, 40/41, p = 1.00), MRIWB (95.7%, 22/23, p = 1.00), and CTWB (81.8%, 27/33, p = 0.03).Conclusions[68Ga]DOTATATE PET/CT should be the modality of choice in PPGL-related spinal bone metastases due to its superior detection rate.Clinical relevance statementIn a prospective study of 43 pheochromocytoma/paraganglioma participants with spinal bone metastases, [68Ga]DOTATATE PET/CT had a superior per-lesion detection rate of 98.7% (377/382), compared to [18F]FDG PET/CT (p < 0.001), MRI of the spine (p < 0.001), whole-body CT (p < 0.001), and whole-body MRI (p < 0.001).Graphical abstractKey Points• Data regarding head-to-head comparison between functional and anatomic imaging modalities to detect spinal bone metastases in pheochromocytoma/paraganglioma are limited.• [68Ga]DOTATATE PET/CT had a superior per-lesion detection rate of 98.7% in the detection of spinal bone metastases associated with pheochromocytoma/paraganglioma compared to other imaging modalities: [18]F-FDG PET/CT, MRI of the spine, whole-body CT, and whole-body MRI.• [68Ga]DOTATATE PET/CT should be the modality of choice in the evaluation of spinal bone metastases associated with pheochromocytoma/paraganglioma.

Quantification of cervical spinal stenosis by automated 3D MRI segmentation of spinal cord and cerebrospinal fluid space

DesignProspective diagnostic study.ObjectivesAnatomical evaluation and graduation of the severity of spinal stenosis is essential in degenerative cervical spine disease. In clinical practice, this is subjectively categorized on cervical MRI lacking an objective and reliable classification. We implemented a fully-automated quantification of spinal canal compromise through 3D T2-weighted MRI segmentation.SettingMedical Center - University of Freiburg, Germany.MethodsEvaluation of 202 participants receiving 3D T2-weighted MRI of the cervical spine. Segments C2/3 to C6/7 were analyzed for spinal cord and cerebrospinal fluid space volume through a fully-automated segmentation based on a trained deep convolutional neural network. Spinal canal narrowing was characterized by relative values, across sever segments as adapted Maximal Canal Compromise (aMCC), and within the index segment as adapted Spinal Cord Occupation Ratio (aSCOR). Additionally, all segments were subjectively categorized by three observers as “no”, “relative” or “absolute” stenosis. Computed scores were applied on the subjective categorization.Results798 (79.0%) segments were subjectively categorized as “no” stenosis, 85 (8.4%) as “relative” stenosis, and 127 (12.6%) as “absolute” stenosis. The calculated scores revealed significant differences between each category (p ≤ 0.001). Youden’s Index analysis of ROC curves revealed optimal cut-offs to distinguish between “no” and “relative” stenosis for aMCC = 1.18 and aSCOR = 36.9%, and between “relative” and “absolute” stenosis for aMCC = 1.54 and aSCOR = 49.3%.ConclusionThe presented fully-automated segmentation algorithm provides high diagnostic accuracy and objective classification of cervical spinal stenosis. The calculated cut-offs can be used for convenient radiological quantification of the severity of spinal canal compromise in clinical routine.

Quantitative measurement of dural ectasia: associations with clinical and genetic characteristics in Marfan syndrome.

Dural ectasia (DE) may significantly impact Marfan syndrome (MFS) patients' quality of life due to chronic lower back pain, postural headache and urinary disorders. We aimed to evaluate the association of quantitative measurements of DE, and their evolution over time, with demographic, clinical and genetic characteristics in a cohort of MFS patients. We retrospectively included 88 consecutive patients (39% females, mean age 37.1 ± 14.2 years) with genetically confirmed MFS who underwent at least one MRI or CT examination of the lumbosacral spine. Vertebral scalloping (VS) and dural sac ratio (DSR) were calculated from L3 to S3. Likely pathogenic or pathogenic FBN1 variants were categorized as either protein-truncating or in-frame. The latter were further classified according to their impact on the cysteine content of fibrillin-1. Higher values of the systemic score (revised Ghent criteria) were associated with greater DSR at lumbar (p < 0.001) and sacral (p = 0.021) levels. Patients with protein-truncating variants exhibited a greater annual increase in lumbar (p = 0.039) and sacral (p = 0.048) DSR. Mutations affecting fibrillin-1 cysteine content were linked to higher VS (p = 0.009) and DSR (p = 0.038) at S1, along with a faster increase in VS (p = 0.032) and DSR (p = 0.001) in the lumbar region. Our study shed further light on the relationship between genotype, dural pathology, and the overall clinical spectrum of MFS. The identification of protein-truncating variants and those impacting cysteine content may therefore suggest closer patient monitoring, in order to address potential complications associated with DE.

Predicting cytogenetic risk in multiple myeloma using conventional whole-body MRI, spinal dynamic contrast-enhanced MRI, and spinal diffusion-weighted imaging

ObjectivesCytogenetic abnormalities are predictors of poor prognosis in multiple myeloma (MM). This paper aims to build and validate a multiparametric conventional and functional whole-body MRI-based prediction model for cytogenetic risk classification in newly diagnosed MM.MethodsPatients with newly diagnosed MM who underwent multiparametric conventional whole-body MRI, spinal dynamic contrast-enhanced (DCE-)MRI, spinal diffusion-weighted MRI (DWI) and had genetic analysis were retrospectively included (2011–2020/Ghent University Hospital/Belgium). Patients were stratified into standard versus intermediate/high cytogenetic risk groups. After segmentation, 303 MRI features were extracted. Univariate and model-based methods were evaluated for feature and model selection. Testing was performed using receiver operating characteristic (ROC) and precision-recall curves. Models comparing the performance for genetic risk classification of the entire MRI protocol and of all MRI sequences separately were evaluated, including all features. Four final models, including only the top three most predictive features, were evaluated.ResultsThirty-one patients were enrolled (mean age 66 ± 7 years, 15 men, 13 intermediate-/high-risk genetics). None of the univariate models and none of the models with all features included achieved good performance. The best performing model with only the three most predictive features and including all MRI sequences reached a ROC-area-under-the-curve of 0.80 and precision-recall-area-under-the-curve of 0.79. The highest statistical performance was reached when all three MRI sequences were combined (conventional whole-body MRI + DCE-MRI + DWI). Conventional MRI always outperformed the other sequences. DCE-MRI always outperformed DWI, except for specificity.ConclusionsA multiparametric MRI-based model has a better performance in the noninvasive prediction of high-risk cytogenetics in newly diagnosed MM than conventional MRI alone.Critical relevance statementAn elaborate multiparametric MRI-based model performs better than conventional MRI alone for the noninvasive prediction of high-risk cytogenetics in newly diagnosed multiple myeloma; this opens opportunities to assess genetic heterogeneity thus overcoming sampling bias.Key points• Standard genetic techniques in multiple myeloma patients suffer from sampling bias due to tumoral heterogeneity.• Multiparametric MRI noninvasively predicts genetic risk in multiple myeloma.• Combined conventional anatomical MRI, DCE-MRI, and DWI had the highest statistical performance to predict genetic risk.• Conventional MRI alone always outperformed DCE-MRI and DWI separately to predict genetic risk. DCE-MRI alone always outperformed DWI separately, except for the parameter specificity to predict genetic risk.• This multiparametric MRI-based genetic risk prediction model opens opportunities to noninvasively assess genetic heterogeneity thereby overcoming sampling bias in predicting genetic risk in multiple myeloma.Graphical

Brain and Cervical Spinal Cord MRI Correlates of Motor Impairment and Vibratory Sensation in Patients with Multiple Sclerosis (S42.002)

Brain and Cervical Spinal Cord MRI Correlates of Motor Impairment and Vibratory Sensation in Patients with Multiple Sclerosis (S42.002)

Opportunistic Screening for Acute Vertebral Fractures on a Routine Abdominal or Chest Computed Tomography Scans Using an Automated Deep Learning Model.

To develop an opportunistic screening model based on a deep learning algorithm to detect recent vertebral fractures in abdominal or chest CTs. A total of 1309 coronal reformatted images (504 with a recent fracture from 119 patients, and 805 without fracture from 115 patients), from torso CTs, performed from September 2018 to April 2022, on patients who also had a spine MRI within two months, were included. Two readers participated in image selection and manually labeled the fractured segment on each selected image with Neuro-T (version 2.3.3; Neurocle Inc.) software. We split the images randomly into the training and internal test set (labeled: unlabeled = 480:700) and the secondary interval validation set (24:105). For the observer study, three radiologists reviewed the CT images in the external test set with and without deep learning assistance and scored the likelihood of an acute fracture in each image independently. For the training and internal test sets, the AI achieved a 99.86% test accuracy, 91.22% precision, and 89.18% F1 score for detection of recent fracture. Then, in the secondary internal validation set, it achieved 99.90%, 74.93%, and 78.30%, respectively. In the observer study, with the assistance of the deep learning algorithm, a significant improvement was observed in the radiology resident's accuracy, from 92.79% to 98.2% (p = 0.04). The model showed a high level of accuracy in the test set and also the internal validation set. If this algorithm is applied opportunistically to daily torso CT evaluation, it will be helpful for the early detection of fractures that require treatment.

Leverage of applying diffusion tensor imaging (DTI) indices in assessment of cervical spondylotic myelopathy

BackgroundCervical spondylotic myelopathy (CSM) is the most prevalent form of dysfunction in the cervical cord. For best results, CSM must be identified and treated quickly, before spinal cord injury develops. We aimed at determining the diagnostic value of quantitative and qualitative diffusion tensor imaging (DTI) indices in the assessment of CSM. Thirty patients were included in this prospective study with clinically suspected CSM of both sexes. This study aimed at determining the diagnostic value of quantitative and qualitative DTI indices in early assessment of CSM and subsequently early and proper management decision rendering better clinical outcome.ResultsThis prospective study included 30 patients: with clinically suspected CSM with a mean age of 51.88 ± 10.28 years. Patients with CSM were graded to 3 grades, mild (No. = 17), moderate (No. = 13) and severe (No. = 0) according to the modified Japanese orthopedic association (mJOA) grading system. Correlation test was performed between mJOA grades of severity with fractional anisotropy (FA), apparent diffusion coefficient (ADC) and T2 cord signal. We found a negative correlation between ADC and FA with Spearman’s rho value of − 0.612 and “P value 0.000” (P value < 0.05), a positive correlation between FA with mJOA clinical score with Spearman’s rho value of − 0.504 & “P value 0.036” (P value < 0.05) and a negative correlation between ADC and mJOA clinical score with Spearman’s rho value of 0.385 and P value 0.005 (P value < 0.05), and no significant correlation was found between mJOA clinical score and T2 hyperintense signal with Spearman’s rho value of − 0.304 and “P value 0.102” (P value < 0.05). Qualitative maps grading by 3D tractography images were done, and 18 patients in the study (60%) showed homogenous intact fiber tracts (grade I), 9 patients (30%) showed reduction or alteration of anisotropy or mixed colors intensity (grade II), and 3 patients (10%) showed fiber tract disruption or displaced cord (grade III). Three DTI parameters (other than FA and ADC) were measured, and two of them show significant difference between their measures in the stenotic and non-stenotic portions of the spinal cord—RA (P value = 0.00) and RD (P value = 0.00).ConclusionsWe concluded that DTI is a crucial tool for early diagnosis and grading of CSM (cervical spondylosis myelopathy)—quantitatively and qualitatively—hence, it should be routinely integrated with conventional cervical spine MRI in case of clinically or radiologically suspected cervical cord compression, as the FA parameter together with the clinical assessment formulates the management plan decision for the CSM whether surgical or non-surgical and depicts the need for early surgical decision rendering better clinical outcome compared to that based on T2 hyperintense cord signal.

Machine learning-based automated scan prescription of lumbar spine MRI acquisitions

PurposeHigh quality scan prescription that optimally covers the area of interest with scan planes aligned to relevant anatomical structures is crucial for error-free radiologic interpretation. The goal of this project was to develop a machine learning pipeline for oblique scan prescription that could be trained on localizer images and metadata from previously acquired MR exams. MethodsA novel Multislice Rotational Region-based Convolutional Neural Network (MS-R2CNN) architecture was developed. Based on this architecture, models for automated prescription sagittal lumbar spine acquisitions from axial, sagittal, and coronal localizer slices were trained. The automated prescription pipeline was integrated with the scanner console software and evaluated in experiments with healthy volunteers (N = 3) and patients with lower-back pain (N = 20). ResultsExperiments in healthy volunteers demonstrated high accuracy of automated prescription in all subjects. There was good agreement between alignment and coverage of manual and automated prescriptions, as well as consistent views of the lumbar spine at different positions of the subjects within the scanner bore. In patients with lower-back pain, the generated prescription was applied in 18 cases (90% of the total number). None of the cases required major adjustment, while in 11 cases (55%) there were minor manual adjustments to the generated prescription. ConclusionsThis study demonstrates the ability of oriented object detection-based models to be trained to prescribe oblique lumbar spine MRI acquisitions without the need of manual annotation or feature engineering and the feasibility of using machine learning-based pipelines on the scanner for automated prescription of MRI acquisitions.

The diagnostic workup of children with the radiologically isolated syndrome differs by age and by sex.

Cerebrospinal fluid (CSF) and spinal MRIs are often obtained in children with the radiologically isolated syndrome (RIS) for diagnosis and prognosis. Factors affecting the frequency and timing of these tests are unknown. To determine whether age or sex were associated with (1) having CSF or spinal MRI obtained or (2) the timing of these tests. We analyzed children (≤ 18y) with RIS enrolled in an international longitudinal study. Index scans met 2010/2017 multiple sclerosis (MS) MRI criteria for dissemination in space (DIS). We used Fisher's exact test and multivariable logistic regression (covariates = age, sex, MRI date, MRI indication, 2005 MRI DIS criteria met, and race). We included 103 children with RIS (67% girls, median age = 14.9y). Children ≥ 12y were more likely than children < 12y to have CSF obtained (58% vs. 21%, adjusted odds ratio [AOR] = 4.9, p = 0.03). Pre-2017, girls were more likely than boys to have CSF obtained (n = 70, 79% vs. 52%, AOR = 4.6, p = 0.01), but not more recently (n = 30, 75% vs. 80%, AOR = 0.2, p = 0.1; p = 0.004 for interaction). Spinal MRIs were obtained sooner in children ≥ 12y (median 11d vs. 159d, p = 0.03). Younger children with RIS may be at continued risk for misdiagnosis and misclassification of MS risk. Consensus guidelines are needed.

A Case Study of Combined Korean Medicine Treatment of Paraplegia Diagnosed as Spinal Cord Infarction

Spinal cord infarction is one of the rare strokes with no clear signs of serious nerve damage or after-effects. This study reports on the effectiveness of a combined treatment of Korean medicine and acupuncture on bilateral paraplegia, dysuria, and constipation in a patient with sudden-onset spinal cord infarction. An 84-year-old male patient was diagnosed with spinal cord infarction in August 2022. After diagnosis by whole spine MRI, he received treatment for two months at another hospital, but the improvement was insignificant. He then received Korean medicine treatment, and during this period, his lower extremity manual muscle test grade improved from 3 to 4 and his modified Rivermead mobility index score increased by 13 points, compared with hospitalization. Dysuria improved with acupuncture, and constipation improved with herbal medicine treatment. A combination of herbal medicine and acupuncture can be used to treat paraplegia, dysuria, and constipation caused by spinal cord infarction.

Fast and accurate 3-D spine MRI segmentation using FastCleverSeg

Accurate and efficient segmenting of vertebral bodies, muscles, and discs is crucial for analyzing various spinal diseases. However, traditional methods are either laborious and time-consuming (manual segmentation) or require extensive training data (fully automatic segmentation). FastCleverSeg, our proposed semi-automatic segmentation approach, addresses those limitations by significantly reducing user interaction while maintaining high accuracy. First, we reduce user interaction by requiring the manual annotation of only two or three slices. Next, we automatically Estimate the Annotation on Intermediary Slices (EANIS) using traditional computer vision/graphics concepts. Finally, our proposed method leverages improved voxel weight balancing to achieve fast and precise volumetric segmentation in the segmentation process. Experimental evaluations on our assembled diverse MRI databases comprising 179 patients (60 male, 119 female), demonstrate a remarkable 25 ms (30 ms standard deviation) processing time and a significant reduction in user interaction compared to existing approaches. Importantly, FastCleverSeg maintains or surpasses the segmentation quality of competing methods, achieving a Dice score of 94%. This invaluable tool empowers physicians to efficiently generate reliable ground truths, expediting the segmentation process and paving the way for future integration with deep learning approaches. In turn, this opens exciting possibilities for future fully automated spine segmentation.

Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRI

Rationale and objectivesMRI reconstruction of undersampled data using a deep learning (DL) network has been recently performed as part of accelerated imaging. Herein, we compared DL-reconstructed T2-weighted image (T2-WI) to conventional T2-WI regarding image quality and degenerative lesion detection. Materials and methodsSixty-two patients underwent C-spine (n = 27) or L-spine (n = 35) MRIs, including conventional and DL-reconstructed T2-WI. Image quality was assessed with non-uniformity measurement and 4-scale grading of structural visibility. Three readers (R1, R2, R3) independently assessed the presence and types of degenerative lesions. Student t-test was used to compare non-uniformity measurements. Interprotocol and interobserver agreement of structural visibility was analyzed with Wilcoxon signed-rank test and weighted-κ values, respectively. The diagnostic equivalence of degenerative lesion detection between two protocols was assessed with interchangeability test. ResultsThe acquisition time of DL-reconstructed images was reduced to about 21–58% compared to conventional images. Non-uniformity measurement was insignificantly different between the two images (p-value = 0.17). All readers rated DL-reconstructed images as showing the same or superior structural visibility compared to conventional images. Significantly improved visibility was observed at disk margin of C-spine (R1, p < 0.001; R2, p = 0.04) and dorsal root ganglia (R1, p = 0.03; R3, p = 0.02) and facet joint (R1, p = 0.04; R2, p < 0.001; R3, p = 0.03) of L-spine. Interobserver agreements of image quality were variable in each structure. Clinical interchangeability between two protocols for degenerative lesion detection was verified showing <5% in the upper bounds of 95% confidence intervals of agreement rate differences. ConclusionsDL-reconstructed T2-WI demonstrates comparable image quality and diagnostic performance with conventional T2-WI in spine imaging, with reduced acquisition time.

Deep-learning reconstructed lumbar spine 3D MRI for surgical planning: pedicle screw placement and geometric measurements compared to CT.

To test equivalency of deep-learning 3D lumbar spine MRI with "CT-like" contrast to CT for virtual pedicle screw planning and geometric measurements in robotic-navigated spinal surgery. Between December 2021 and June 2022, 16 patients referred for spinal fusion and decompression surgery with pre-operative CT and 3D MRI were retrospectively assessed. Pedicle screws were virtually placed on lumbar (L1-L5) and sacral (S1) vertebrae by three spine surgeons, and metrics (lateral deviation, axial/sagittal angles) were collected. Vertebral body length/width (VL/VW) and pedicle height/width (PH/PW) were measured at L1-L5 by three radiologists. Analysis included equivalency testing using the 95% confidence interval (CI), a margin of ± 1mm (± 2.08° for angles), and intra-class correlation coefficients (ICCs). Across all vertebral levels, both combined and separately, equivalency between CT and MRI was proven for all pedicle screw metrics and geometric measurements, except for VL at L1 (mean difference: - 0.64mm; [95%CI - 1.05, - 0.24]), L2 (- 0.65mm; [95%CI - 1.11, - 0.20]),and L4 (- 0.78mm; [95%CI - 1.11, - 0.46]). Inter- and intra-rater ICC for screw metrics across all vertebral levels combined ranged from 0.68 to 0.91 and 0.89-0.98 for CT, and from 0.62 to 0.92 and 0.81-0.97 for MRI, respectively. Inter- and intra-rater ICC for geometric measurements ranged from 0.60 to 0.95 and 0.84-0.97 for CT, and 0.61-0.95 and 0.93-0.98 for MRI, respectively. Deep-learning 3D MRI facilitates equivalent virtual pedicle screw placements and geometric assessments for most lumbar vertebrae, with the exception of vertebral body length at L1, L2, and L4, compared to CT for pre-operative planning in patients considered for robotic-navigated spine surgery.

Tumefactive Multiple Sclerosis: A Mimicker of Intracranial Space-Occupying Lesions

Abstract: A chronic disease of CNS, Multiple sclerosis is characterized by inflammation and demyelination with axonal injury affecting upper motor neurons of brain or spinal cord. Tumefactive multiple sclerosis is a rare form of MS which mimics intracranial tumor-like space-occupying lesions on radiography. A 25-year old gentleman presented 2-month history of gradual onset difficulty in walking, slurring of speech and double vision. The patient had an ataxic gait accentuated by tandem walking with tendency to fall towards right and a negative Romberg’s sign. There was dysarthria and signs of cerebellar lesion present on the right side. Muscle tone was normal in upper limbs but increased (spasticity) in lower limbs bilaterally. Power was normal but deep tendon reflexes were exaggerated in all 4 limbs with bilateral up-going plantar reflex. MRI scan of the brain demonstrated tumour-like tumefactive lesions in the right cerebellum, right pons and the left subcortical region with no post-contrast enhancement of these lesions. MRI of whole spine demonstrated subtle hyperintense signals in the cervical spine. He had a past history of transverse myelitis 2 years ago with full clinical recovery with oral steroids. He was diagnosed with Tumefactive Multiple Sclerosis and started on corticosteroid therapy resulting in dramatic improvement.