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Abstract Background Frailty is common in patients undergoing cardiac surgery and is associated with poorer postoperative outcomes. Ultrasound examination of skeletal muscle morphology may serve as an objective assessment tool as lean muscle mass reduction is a key feature of frailty. Methods This study investigated the association of ultrasound-derived muscle thickness, cross-sectional area, and echogenicity of the rectus femoris muscle (RFM) with preoperative frailty and predicted subsequent poor recovery after surgery. Eighty-five patients received preoperative RFM ultrasound examination and frailty-related assessments: Clinical Frailty Scale (CFS) and 5-m gait speed test (GST5m). Association of each ultrasound measurement with frailty assessments was examined. Area under receiver-operating characteristic curve (AUROC) was used to assess the discriminative ability of each ultrasound measurement to predict days at home within 30 days of surgery (DAH30). Results By CFS and GST5m criteria, 13% and 34% respectively of participants were frail. RFM cross-sectional area alone demonstrated moderate predictive association for frailty by CFS criterion (AUROC: 0.76, 95% CI: 0.66–0.85). Specificity improved to 98.7% (95% CI: 93.6%-100.0%) by utilising RFM cross-sectional area as an ‘add-on’ test to a positive gait speed test, and thus a combined muscle size and function test demonstrated higher predictive performance (positive likelihood ratio: 40.4, 95% CI: 5.3–304.3) for frailty by CFS criterion than either test alone (p

Background. Glenoid bone loss is a risk factor leading to the failure of arthroscopic Bankart repair. While 20–25% glenoid bone loss has long been considered the level to necessitate bony augmentation, recent studies indicate that 13.5% has a “subcritical” glenoid bone loss level, which is associated with decreased short- and medium-term functional scores. Few researchers worked on the long-term effect of “subcritical” or even less severe degrees of glenoid bone loss on redislocation rates and functional outcomes after arthroscopic Bankart repair. This study aimed to evaluate the effect of subcritical or less severe glenoid bone loss on redislocation rates and function after arthroscopic Bankart repair. Methods. A patient cohort who had undergone computed tomography (CT) of glenoid bone loss and arthroscopic Bankart repair over 15 years ago was reviewed. Western Ontario Shoulder Instability (WOSI) score, Single Assessment Numeric Evaluation (SANE) score, redislocation after operation, mechanism of recurrence, and revision details were reviewed. Results. Seventy-five patients were reassessed 17.6 ± 1.9 years following initial surgery. The age at enrolment was 26.8 ± 8.3 years. Twenty-two (29%) patients of the 75 patients had a redislocation on long-term follow-up, though this was not related to glenoid bone loss severity. The impaired functional score was found in patients with initial glenoid bone loss of 7% or more on long-term follow-up: WOSI (physical symptoms): 0.98 ± 2.00 vs 2.25 ± 4.01, p=0.04 and WOSI (total): 0.79 ± 1.43 vs 1.88 ± 3.56, p=0.04. Conclusions. At a mean of 17.5 years following arthroscopic Bankart repair, redislocation occurs in over a quarter of 75 patients, and they are not related to initial glenoid bone loss severity. Impaired functional outcome is apparent in patients with initial glenoid bone loss of >7%, though this impairment does not seem sufficiently severe to warrant an alternative treatment approach.

Background: To identify contributors to non-traumatic incident fractures on rheumatic disease patients who are on long term glucocorticoids (LTGC) Methods: Two hundred and twenty patients on LTGC (110 with vertebral fracture and 110 without vertebral fracture) who participated in a cross-sectional study in 2014-2015 were invited to have repeated assessments on 1) aBMD using dual-energy X-ray absorptiometry (DXA), 2) volumetric BMD (vBMD), microstructure and bone strength assessment of the wrist and tibia using high-resolution peripheral quantitative computed tomography (HR-pQCT) and 3) spine radiographs in the 5th year. Clinical covariates were recorded on questionnaires, and Fracture Risk Assessment Tool (FRAX) score was calculated accordingly. Non-traumatic incident fracture over the 5-year were documented. Receiver operating characteristic curve (ROC) analysis was performed to compare the strength of fracture prediction tools. Results: Out of the 140 patients who completed the 5th year assessments, 47 (33.6%) developed incident fractures. History of previous fracture, aBMD at hip and lumbar spine, T-score, trabecular vBMD, trabecular bone volume fraction and estimated bone strength at the tibia at baseline remained significantly different after adjusting for age between the group with and without incident fractures. The area under curve (AUC) of a prediction model comprised of age, history of previous fracture and average trabecular vBMD at tibia was comparable with that of the FRAX score (0.710 vs 0.679-0.702), and slightly outperformed than the AUC of DXA aBMD at hip and lumbar spine (0.628-0.668) under ROC analysis. Conclusion: Age, history of previous fracture and average trabecular vBMD at tibia could be the main contributors in building a prediction model for non-traumatic incident fracture in rheumatic disease patients on LTGC.

Background: Unlike axial spondyloarthritis (axSpA), no classification criteria are currently available for axial psoriatic arthritis (axPsA). This study aimed to evaluate the performance of the proposed cut-offs from the Assessment of Spondyloarthritis International Society (ASAS) data-driven definitions for active and structural magnetic resonance imaging (MRI) lesions typical of axSpA in distinguishing axial involvement in patients with psoriatic arthritis (PsA). Methods: Seventy-two consecutive PsA patients (67% male, aged 45± 14 years) meeting the CASPAR classification criteria, regardless of the presence of back pain, were included. All patients underwent radiography of the pelvis and spine, as well as sacroiliac joint (SIJ) MRI, while 52 (72%) of 72 patients also underwent whole-spine MRI. The final diagnosis of axPsA was ascertained by two experienced rheumatologists. One rheumatologist with expertise in imaging and one trained reader evaluated the radiography and MRI images. Results: AxPsA was diagnosed in 27/72 (38%) patients. The proposed cut-offs for active sacroiliitis demonstrated high specificity (95.6%) but relatively low sensitivity (51.9%) in distinguishing patients with and without axPsA. When structural lesions of the SIJ were included in addition to active lesions, the sensitivity significantly improved (96.3% vs. 51.9%) with a modest decrease in specificity (86.7% vs. 95.6%). Incorporating MRI spine lesions (using the proposed cut-offs for positive spine MRI from the SPACE cohort) alongside SIJ lesions did not further change sensitivity or specificity compared with assessing SIJ alone. Conclusion: The ASAS-proposed cut-offs for identifying active and structural lesions of SIJ demonstrated satisfactory performance in discriminating axial involvement in PsA patients.

Background: Sacroiliac joints (SIJ) radiography has lower sensitivity and specificity compared to magnetic resonance imaging (MRI) and low-dose CT (ldCT) of the SIJ for detecting axial spondyloarthritis. Whether this is also true for axial psoriatic arthritis (axPsA) remains uncertain. This study aimed to evaluate the performance of ldCT, MRI, and conventional radiography of SIJ and spine in distinguishing axial involvement in PsA patients. Methods: Fifty-one consecutive PsA patients (70.6% male, age 41 ± 13 years) meeting the CASPAR classification criteria, regardless of back pain, were included. All patients underwent SIJ and whole-spine radiography, SIJ MRI as well as SIJ ldCT, while 25 (49%) of 51 patients also underwent whole-spine MRI and ldCT. One rheumatologist with expertise in imaging and one trained reader evaluated images. The final diagnosis of axPsA was ascertained by two experienced rheumatologists. The sensitivity, specificity, and diagnostic accuracy of the three modalities for discriminating axPsA were compared. Results: AxPsA was diagnosed in 33.3% (17) of 51 patients. In discerning axial involvement in PsA patients, MRI exhibited superior sensitivity (92.9%) compared with ldCT (83.3%) and radiography (67.9%), while ldCT demonstrated higher specificity (97.1%) than MRI (86.4%) and radiography (72.7%). LdCT achieved the highest diagnostic accuracy (92%) among the three modalities, surpassing radiography (71%) and being comparable to MRI (89%). In the subgroup of patients with whole spine imaging, the combination of MRI and ldCT SIJ had the best diagnostic accuracy, reaching 93%. Including SIJ ldCT in addition to SIJ MRI further improved specificity (86.7% vs. 73.3%) with unchanged sensitivity (100%), while incorporating SIJ MRI alongside SIJ ldCT further improved sensitivity from 83% to 100%, with a modest decrease in specificity (86.7% vs. 93.3%). However, incorporating spine MRI/ldCT alongside SIJ MRI/ldCT did not further improve sensitivity or specificity in discriminating axial involvement in PsA patients. Conclusion: LdCT demonstrated superior diagnostic performance in distinguishing axial involvement in PsA patients compared to MRI or radiography, although MRI was more sensitive for detecting active sacroiliitis. The highest diagnostic performance was achieved with both MRI and ldCT of the SIJ. Additional spine imaging did not further increase diagnostic performance.

Background Unlike axial spondyloarthritis, no classification criteria exist for axial psoriatic arthritis (axPsA). In 2021, the Assessment of SpondyloArthritis International Society (ASAS) revised the magnetic resonance imaging (MRI) criteria for active sacroiliitis (2021 criteria: bone marrow edema [BME] present in [Formula: see text]4 sacroiliac joint [SIJ] quadrants or [Formula: see text]3 consecutive SIJ slices[1]). This study aimed to compare the utility of this new cut-off in discriminating PsA patients with/without axPsA versus the 2009 ASAS criteria[2] for active-MRI-SIJ (BME [Formula: see text] 2 consecutive slices or [Formula: see text]1 location in a single slice). Methods Consecutive patients who fulfilled the classification criteria for PsA were recruited into this cross-sectional study, regardless of back pain. Sixty-seven patients underwent radiography (including pelvis, cervical/thoracic/lumbar-spine) and MRI-SIJ. Additionally, 47 underwent whole-spine MRI. AxPsA diagnosis was based on clinical information and imaging findings, as determined by an expert rheumatologist and a radiologist, and used as the reference standard. Two independent readers evaluated the MRI images based on two criteria for active sacroiliitis (BME cut-off: [Formula: see text] 4[1] vs [Formula: see text] 2[2]) and spondylitis (BME cut-off: [Formula: see text] 5[3] vs [Formula: see text] 3[4]). The agreement between the two MRI BME cut-offs for active sacroiliitis/spondylitis and the reference standard was evaluated. Results Sixty-seven patients (mean age: 47±12 years, 44 (65.7%) male, psoriasis and PsA disease duration: 13.5±10.3 and 3.8±6.1 years respectively) were recruited (Table 1). Twenty-three (34.3%) were diagnosed with axPsA, including 13 (56.5%) with radiographic sacroiliitis and 10 (43.5%) with non-radiographic axPsA. 12/67 (17.9%) had active MRI-sacroiliitis based on the 2021 ASAS criteria, while 4/47 (8.5%) had spondylitis based on the 2016 proposed definition[3]. Compared with the reference standard, the agreement increased after applying a more stringent threshold to define active sacroiliitis (BME cut-off: [Formula: see text] 4 vs [Formula: see text] 2; Kappa: 0.514 vs 0.392, respectively; Fig. 1A-B). The agreement with the reference standard further increased by applying a more stringent criteria for active spondylitis in addition to active sacroiliitis (BME cut-off for MRI-SIJ and spine: [Formula: see text] 4 and [Formula: see text] 5 vs [Formula: see text] 2 and [Formula: see text] 3; Kappa: 0.717 vs 0.342, respectively; Fig. 1C-D), resulting in higher specificity (active-sacroiliitis: 97.7% vs 81.8%; active-sacroiliitis and/or spondylitis: 100% vs 72.7%) and higher positive predictive value (91.7% vs 61.9%; 100% vs 50.0%, respectively). Conclusion At least four BME lesions on MRI-SIJ and five inflammatory lesions on MRI-spine allow acceptable discrimination of axPsA and no axPsA while assuring [Formula: see text]95% specificity.

The anterior cruciate ligament (ACL) is an important structure in maintaining the normal biomechanics of the knee and is the most commonly injured knee ligament. However, the oblique course of the ACL within the intercondylar fossa limits the visualization and assessment of the pathology of the ligament. This pictorial essay provides a comprehensive and illustrative review of the anatomy and biomechanics as well as updated information on different modalities of radiological investigation of ACL, particularly magnetic resonance imaging.