Studies have shown that structural lesions may be present in patients with non-radiographic axial spondyloarthritis (nr-axSpA). However, the relevance of structural lesions in these patients is unclear, particularly without signs of inflammation on magnetic resonance imaging (MRI). We assessed the presence of structural lesions at baseline on MRI in the sacroiliac joints (SIJ) of patients with nr-axSpA with and without SIJ inflammation on MRI. Bone marrow edema (BME) was assessed on short tau inversion recovery (STIR) scans from 185 patients with nr-axSpA, by two independent readers at baseline using the Spondyloarthritis Research Consortium of Canada (SPARCC) score. Structural lesions were evaluated on T1 weighted spin echo scans, with readers blinded to STIR scans, using the SPARCC MRI SIJ structural score. Disease characteristics and structural lesions were compared in patients with SIJ BME (score ≥2) and without SIJ BME (score <2). Both SIJ BME and structural lesions scores were available for 183 patients; 128/183 (69.9%) patients had SIJ BME scores ≥2 and 55/183 (30.1%) had scores <2. Frequencies of MRI structural lesions in patients with vs without SIJ BME were: erosions (45.3% vs 10.9%, P < 0.001), backfill (20.3% vs 0%, P < 0.001), fat metaplasia (10.9% vs 1.8%, P = 0.04), and ankylosis (2.3% vs 1.8%, P = ns). Significantly more patients with both SIJ BME and structural lesions were male and/or HLA-B27 positive than patients with only SIJ BME. Mean (SD) spinal scores (23 discovertebral units) were significantly higher in patients with SIJ structural lesions than without: 6.5 (11.5) vs 3.3 (5.1), respectively, P = 0.01. In patients with nr-axSpA, SIJ structural lesions, particularly erosions, may be present on MRI when radiographs are normal or inconclusive, even in patients negative for MRI SIJ inflammation. They may reflect more severe disease with greater spinal inflammation. ClinicalTrials.gov, NCT01258738 . Registered on 9 December 2010.

Background: Echocardiography is crucial to understanding cardiac function in the Intensive Care Unit (ICU), often by measuring the left ventricular ejection fraction (LVEF). Traditionally, measures of LVEF are completed as part of a comprehensive examination by an expert sonographer or cardiologist, but front-line practitioners increasingly perform focused point-of-care estimates of LVEF while managing life-threatening illness. The two main echocardiographic windows used to grossly estimate LVEF are parasternal and apical windows. Artificial intelligence (AI) algorithms have recently been developed to assist non-experts in obtaining and interpreting point-of-care ultrasound (POCUS) echo images. We tested the feasibility, accuracy and reliability of novice users estimating LVEF using POCUS-AI echo. Methods: A total of 30 novice users (most never holding an ultrasound probe before) received 2 h of instruction, then scanned ICU patients (10 patients, 80 scans) using the Exo Iris POCUS probe with AI guidance tool. They were permitted up to 5 min to attempt parasternal long axis (PLAX) and apical 4 chamber (A4C) views. AI-reported LVEF results from these scans were compared to gold-standard LVEF obtained by an expert echo sonographer. To further assess accuracy, this sonographer also scanned another 65 patients using Exo Iris POCUS-AI vs. conventional protocol. Results: Novices obtained images sufficient to estimate LVEF in 96% of patients in <5 min. Novices obtained PLAX views significantly faster than A4C (1.5 min vs. 2.3 min). Inter-rater reliability of LVEF estimation was very high (ICC 0.88–0.94) whether images were obtained by novices or experts. In n = 65 patients, POCUS-AI LVEF was highly specific for a decreased LVEF ≤ 40% (SP = 90% for PLAX) but only moderately sensitive (SN = 56–70%). Conclusions: Estimating cardiac LVEF from AI-enhanced POCUS is highly feasible even for novices in ICU settings, particularly using the PLAX view. POCUS-AI LVEF results were highly consistent whether performed by novice or expert. When AI detected a decreased LVEF, it was highly accurate, although a normal LVEF reported by POCUS-AI was not necessarily reassuring. This POCUS-AI tool could be clinically useful to rapidly confirm a suspected low LVEF in an ICU patient. Further improvements to sensitivity for low LVEF are needed.

Objective To develop and validate a knowledge transfer (KT) module aimed at enhancing feasibility and reliability of semiquantitative assessment of bone marrow lesions (BML) and synovitis-effusion using the Hip Inflammation Magnetic Resonance Imaging Scoring System (HIMRISS). Methods Three radiologists naive to the HIMRISS method reviewed the manuscript describing the method and then scored MRI scans from 16 patients with hip OA obtained at baseline and 8 weeks after intraarticular injection of corticosteroid. Readers then reviewed a KT module comprising an instructional presentation and 8 reference DICOM (digital imaging and communications in medicine) cases scored by 3 readers with expertise in the HIMRISS method, and then used electronic overlay software to score scans from 23 patients with OA. The same format was followed with a second group of 3 readers naive to HIMRISS using a KT module revised to incorporate the overlay with a Web-based DICOM viewer to enhance feasibility. Interobserver reliability was assessed with the intraclass correlation coefficient (ICC). Results In both exercises, reliability for baseline scores was excellent for femoral BML, very good for acetabular BML, and good for synovitis-effusion (overall ICC = 0.91, 0.89, 0.62, respectively) even without prior calibration using the KT module. However, reliability for detecting change was substantially worse than for expert readers, especially for acetabular BML and synovitis-effusion (overall ICC = 0.59 vs 0.19, and 0.42 vs 0.25, respectively). Reliability improved for detection of change in these lesions, especially after reader calibration with the revised KT module. Conclusion Development and validation of a systematic method for KT may enhance external validation of certain imaging instruments.

Aims: Studies of infant hip development to date have been limited by considering only the changes in appearance of a single ultrasound slice (Graf’s standard plane). We used 3D ultrasound (3DUS) to establish maturation curves of normal infant hip development, quantifying variation by age, sex, side, and anteroposterior location in the hip. Methods: We analyzed 3DUS scans of 519 infants (mean age 64 days (6 to 111 days)) presenting at a tertiary children’s hospital for suspicion of developmental dysplasia of the hip (DDH). Hips that did not require ultrasound follow-up or treatment were classified as ‘typically developing’. We calculated traditional DDH indices like α angle (α_SP), femoral head coverage (FHC_SP), and several novel indices from 3DUS like the acetabular contact angle (ACA) and osculating circle radius (OCR) using custom software. Results: α angle, FHC, and ACA indices increased and OCR decreased significantly by age in the first four months, mean α_SP rose from 62.2° (SD 5.7°) to 67.3° (SD 5.2°) (p < 0.001) in one- to eight- and nine- to 16-week-old infants, respectively. Mean α_SP and mean FHC_SP were significantly, but only slightly, lower in females than in males. There was no statistically significant difference in DDH indices observed between left and right hip. All 3DUS indices varied significantly between anterior and posterior section of the hip. Mean 3D indices of α angle and FHC were significantly lower anteriorly than posteriorly: α_Ant = 58.2° (SD 6.1°), α_Post = 63.8° (SD 6.3°) (p < 0.001), FHC_Ant = 43.0 (SD 7.4), and FHC_Post = 55.4° (SD 11.2°) (p < 0.001). Acetabular rounding measured byOCR indices was significantly greater in the anterior section of the hip (p < 0.001). Conclusion: We used 3DUS to show that hip shape and normal growth pattern vary significantly between anterior and posterior regions, by magnitudes similar to age-related changes. This highlights the need for careful selection of the Graf plane during 2D ultrasound examination. Whole-joint evaluation by obtaining either 3DUS or manual ‘sweep’ video images provides more comprehensive DDH assessment. Cite this article: Bone Jt Open 2022;3(11):913–923.

Objective: To assess the effect of increasing age on the frequency of inflammatory and structural magnetic resonance imaging (MRI) lesions in the sacroiliac joints (SIJ) in 3 independent cohorts of healthy individuals and patients with nonspecific back pain (NSBP). Methods: We assessed MRI SIJ lesions in 3 cohorts (A, B, and C) of healthy individuals (cohort A, n = 79; cohort B, n = 78) and patients with NSBP (cohort A, n = 87; cohort C, n = 46) aged ≤ 45 years referred with back pain suspicious of axial spondyloarthritis (axSpA). MRI lesions were recorded on consecutive slices in SIJ quadrants or halves through the cartilaginous SIJ. Lesions were ascertained by 2-7 central readers according to standardized lesion definitions. Lesions recorded concordantly by the majority of readers were analyzed according to age categories (18-29, 30-39, and 40-50 yrs) and previously reported data-driven MRI cutoffs indicative of inflammatory or structural lesions typical of axSpA. Results: Only 3.8% (in both cohort A and cohort B) of healthy individuals and 5.7% (cohort A) and 4.3% (cohort C) of patients with NSBP had erosion in ≥ 1 SIJ quadrant, and progressive increases of erosion with age categories were not evident. None of the healthy individuals and 2.3% and 4.3% of cohort A and cohort C, respectively, of the patients with NSBP showed erosion in ≥ 3 SIJ quadrants, the cutoff indicative of axSpA; not a single individual met this cutoff in the highest age category. Fat metaplasia was slightly increased with age among healthy individuals and patients with NSBP in cohort A, but not in cohorts B or C. Conclusion: SIJ MRI data from healthy individuals and NSBP controls did not indicate progressive increases in structural lesions with increasing age categories when standardized definitions for axSpA lesions were adopted. MRI cutoffs for structural lesions denoting axSpA discriminated equally well between axSpA and NSBP across all age categories.

Objective: There is a key knowledge gap in quantifying residual disease activity in Canadian patients with axial spondyloarthritis (axSpA). The objective of this study was to evaluate and describe residual disease activity and burden of disease in Canadian patients with axSpA. Methods: This was an observational, retrospective analysis of data extracted from the Rhumadata (Québec), Spondyloarthritis Research Consortium of Canada (SPARCC; East/Atlantic and West regions, as well as Ontario), and Follow-up Research Cohort of Ankylosing Spondylitis (FORCAST; Alberta) registries. The primary endpoint was the proportion of patients who failed to achieve sustained low disease activity (LDA) at 12 months. LDA was defined as a Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score < 3 and sustained LDA was defined as achieving LDA at both 6 and 12 months after the most recent change in treatment. Analyses included outcomes by treatment class (nonsteroidal antiinflammatory drugs, tumor necrosis factor inhibitor, or interleukin 17 inhibitor). Results: A total of 980 patients (Rhumadata, N = 488; SPARCC, N = 239; FORCAST, N = 253) were included. Nearly half of patients with axSpA from Rhumadata (49.5%) and FORCAST (55.3%) and 65.8% of those from SPARCC failed to achieve LDA (BASDAI < 3) at 6 months after treatment initiation. At 12 months, failure to achieve sustained LDA rose to 62% in Rhumadata, 65.1% in FORCAST, and 81% in SPARCC. Pain persisted in nearly half of all patients. Conclusion: This analysis demonstrated that most Canadians with axSpA failed to achieve sustained LDA after 12 months of initiating their latest therapy and confirms a high unmet need for additional treatments.