Rationale and Objectives: While calcification is a highly prevalent component in atherosclerotic extracranial carotid arteries and is known to impact plaque stability, the link between carotid calcification and ischemic events is yet to be identified. We aimed to investigate the associations of geometric features of carotid calcifications, and their temporal changes, with ischemic events. Materials and Methods: We retrospectively analyzed 128 mildly stenotic carotid arteries (Plaque At Risk study) from 64 patients with recent ischemic event, using multi-detector computed tomography angiography data at baseline and after 2 years. The 3D artery and calcification geometries were reconstructed with a semi-automatic pipeline, and an in-depth calcification morphometric assessment was performed. We examined the distribution of the calcification morphometrics and their temporal changes and investigated their associations with ischemic events at the time of inclusion, using generalized linear mixed models. Results: At baseline, compared to contralateral asymptomatic arteries, symptomatic carotids had more calcification bodies (mean [95%CI]: 1.9 [1.4–2.6] vs. 1.6 [1.2–2.2]). These calcifications were smaller (mean area [95%CI]: 3.7 mm² [2.9–5.1] vs. 4.5 mm² [3.5–5.8]) and narrower (mean width [95%CI]: 2.7 mm [2.3–3.4] vs. 3.1 mm [2.5–3.6]). At 2-year follow-up, adjusting for baseline measurements, these calcifications were smaller (mean width [95%CI]: 2.9 mm [2.5–3.5] vs. 3.3 mm [2.7–3.7]) and longer (mean [95%CI]: 8.6 mm [7.1–10.5] vs. 7.5 mm [6.3–9.5]) compared to asymptomatic side. Conclusion: Symptomatic carotid arteries presented more and smaller calcifications with a tendency to grow more in the longitudinal artery direction, providing insights into the role of carotid calcifications in ischemic events.

Background/Objectives: Tenosynovitis is a common feature of psoriatic arthritis (PsA) and is typically assessed using semi-quantitative magnetic resonance imaging (MRI) scoring. However, visual scoring s variability. This study evaluates a fully automated, deep-learning approach for ankle tenosynovitis segmentation and volume-based quantification from MRI in psoriatic arthritis (PsA) patients. Methods: We analyzed 364 ankle 3T MRI scans from 71 PsA patients. Four tenosynovitis pathologies were manually scored and used to create ground truth segmentations through a human–machine workflow. For each pathology, 30 annotated scans were used to train a deep-learning segmentation model based on the nnUNet framework, and 20 scans were used for testing, ensuring patient-level disjoint sets. Model performance was evaluated using Dice scores. Volumetric pathology measurements from test scans were compared to radiologist scores using Spearman correlation. Additionally, 218 serial MRI pairs were assessed to analyze the relationship between changes in pathology volume and changes in visual scores. Results: The segmentation model achieved promising performance on the test set, with mean Dice scores ranging from 0.84 to 0.92. Pathology volumes correlated with visual scores across all test MRIs (Spearman ρ = 0.52–0.62). Volume-based quantification captured changes in inflammation over time and identified subtle progression not reflected in semi-quantitative scores. Conclusions: Our automated segmentation tool enables fast and accurate quantification of ankle tenosynovitis in PsA patients. It may enhance sensitivity to disease progression and complement visual scoring through continuous, volume-based metrics.

Background: Intracranial artery calcification detected on CT imaging is a recognized risk factor for ischemic cerebrovascular diseases, but the underlying etiology of this association remains unclear. Differences in objective morphometric characteristics of these calcifications may partially explain this association, yet these measurements are largely absent in the literature. We investigated intracranial artery calcification morphometry in patients with recent anterior ischemic stroke or TIA, assessing potential differences between calcifications in both intracranial carotid arteries (ICAs) located ipsilateral and contralateral to the cerebral ischemia. Methods: Among 100 patients (mean age 69.6 (SD 8.8) years) presenting to academic neurology departments, 3D reconstructions of both ICAs were based on clinical CT-angiography images. On these reconstructions, a luminal centerline and cross-sections perpendicular to this centerline were created, facilitating the assessment of calcification morphometry, spatial orientation and stenosis severity. Differences in calcification characteristics between ICAs were assessed using two-sided Wilcoxon signed-rank and χ² tests. Results: Among 200 arteries, a median of four (IQR 2–6) individual calcifications were counted, with a mean area of 1.8 (IQR 1.2–2.7) mm², a mean arc width of 43.5 (IQR 32.3–53.2) degrees, and median longitudinal extent of 15.4 (IQR 5.9–27.0) mm. Calcifications were most often present in the anatomical C4 section (56.0%), with predominantly posterosuperior orientation (38.5%) and 42.0% had a local stenosis severity > 70%. None of these aspects significantly differed between ICAs, and this remained after restricting analyses to patients with undetermined etiology. Conclusions: We found no differences in morphometrical or spatial aspects of calcifications between ICAs ipsilateral and contralateral to the cerebral ischemia.

Background and aims: Local biomechanical factors are known to influence atherosclerosis in extracranial carotid arteries. While the role of some flow-driven biomechanical factors has been investigated, the influence of pressure-driven mechanical wall stress (MWS) has received limited attention. In this study, the association of the pressure-driven and flow-driven biomechanical factors with carotid atherosclerosis was examined. Methods: Carotid arteries (n = 150) with mild-to-moderate stenosis from 75 symptomatic patients (Plaque-At-Risk study) were imaged using multi-detector computed tomography angiography (MDCTA) at the time of inclusion and after 2 years. Structural changes in carotid wall and calcifications were quantified from MDCTA data while the local baseline biomechanical factors in the carotids were determined using fluid-structure interaction (FSI) computational models. The associations of the local pressure-driven and flow-driven biomechanical factors with the carotid wall and calcification changes were studied using Generalized Linear Mixed models. Results: Over two years, plaque sectors, with calcified and non-calcified sectors combined, exhibited minimal change in wall thickness, likely due to medical treatment. High MWS was associated (p < 0.001) with a reduction in plaque thickness. In calcified plaque sectors, high MWS and low oscillatory shear index (OSI) were associated (p < 0.001) with greater calcification thickness increase. The distance between the lumen and calcification decreased over time, especially in the sectors exposed to high time-averaged wall shear stress (TAWSS) and high MWS. Conclusions: Our results suggest that the pressure-driven local MWS and flow-driven OSI and TAWSS significantly correlate with the development of calcified and non-calcified plaques in carotid arteries. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01208025.

Introduction: Ischemic stroke incidence varies significantly with respect to sex and cardiovascular risk factors (CVRFs), a relationship that it is not well understood. Calcification in carotid atherosclerosis is known to impact plaque stability, potentially linked to ischemic stroke. The objective was to assess the in-depth calcification morphometrics within extracranial carotid atherosclerosis, their temporal changes, and associations with sex and CVRFs. Methods: Carotid arteries (n = 144) with confirmed atherosclerosis and mild-to-moderate stenosis from 72 symptomatic patients (Plaque-At-Risk study) with recent ischemic event due to ischemia in the territory of a carotid artery were imaged using multidetector computed tomography angiography (MDCTA) at baseline and after 2 years. The lumen, vessel wall, and calcifications were segmented semiautomatically, and the carotid geometries were 3D reconstructed. A comprehensive morphometric assessment of carotid calcifications was performed on the baseline and followup scans. We investigated distributions of these metrics and their associations with sex and CVRFs using generalized linear mixed models. Results: Our findings suggest that women have larger (4.5 mm2 [95% CI: 3.2-6.2] vs. 3.2 mm2 [95% CI: 2.4-4.2]) calcifications, located closer to the lumen (0.6 mm [95% CI: 0.4-0.8] vs. 0.9 mm [95% CI: 0.7-1.2]) in contrast to men at baseline and follow-up, adjusted for baseline measurements. At the baseline, nonsmokers had larger (5.3 mm2 [95% CI: 3.7-7.5] vs. 3.2 mm2 [95% CI: 2.3-4.4]) and longer (5.7 mm [95% CI: 4.1-7.3] vs. 2.4 mm [95% CI: 1.6-3.6]) calcifications than the current smokers. Diabetic patients had thicker (1.1 mm [95% CI: 0.8-1.3] vs. 0.8 mm [95% CI: 0.7-0.9]) carotid calcifications at baseline. Conclusion: Our in-depth analyses exposed several geometric features of carotid calcifications associated with sex and CVRFs and provided further insight into the pathophysiology of carotid atherosclerosis.

Magnetic resonance Imaging is the gold standard for assessment of soft tissues; however, X-ray-based techniques are required for evaluating bone-related pathologies. This study evaluated the performance of synthetic computed tomography (sCT), a novel MRI-based bone visualization technique, compared with CT, for the scoring of knee osteoarthritis. sCT images were generated from the 3T T1-weighted gradient-echo MR images using a trained machine learning algorithm. Two readers scored the severity of osteoarthritis in tibiofemoral and patellofemoral joints according to OACT, which enables the evaluation of osteoarthritis, from its characteristics of joint space narrowing, osteophytes, cysts and sclerosis in CT (and sCT) images. Cohen's κ was used to assess the interreader agreement for each modality, and intermodality agreement of CT- and sCT-based scores for each reader. We also compared the confidence level of readers for grading CT and sCT images using confidence scores collected during grading. Inter-reader agreement for tibiofemoral and patellofemoral joints were almost-perfect for both modalities (κ = 0.83–0.88). The intermodality agreement of osteoarthritis scores between CT and sCT was substantial to almost-perfect for tibiofemoral (κ = 0.63 and 0.84 for the two readers) and patellofemoral joints (κ = 0.78 and 0.81 for the two readers). The analysis of diagnosis confidence scores showed comparable visual quality of the two modalities, where both are showing acceptable confidence levels for scoring OA. In conclusion, in this single-center study, sCT and CT were comparable for the scoring of knee OA.

Background: Accumulating evidence highlights the existence of distinct morphological subtypes of intracranial carotid arteriosclerosis. So far, little is known on the prevalence of these subtypes and subsequent stroke risk in the general population. We determined the prevalence of morphological subtypes of intracranial arteriosclerosis and assessed the risk of stroke associated with these subtypes. Methods: Between 2003 and 2006, 2391 stroke-free participants (mean age 69.6, 51.7% women) from the population-based Rotterdam Study underwent noncontrast computed tomography to visualize calcification in the intracranial carotid arteries as a proxy for intracranial arteriosclerosis. Calcification morphology was evaluated according to a validated grading scale and categorized into intimal, internal elastic lamina (IEL), or mixed subtype. Follow-up for stroke was complete until January 1, 2016. We used multivariable Cox regression to assess associations of each subtype with incident stroke. Results: The prevalence of calcification was 82% of which 39% had the intimal subtype, 48% IEL subtype, and 13% a mixed subtype. During a median follow-up of 10.4 years, 155 participants had a stroke. All 3 subtypes were associated with a higher risk of stroke (adjusted hazard ratio [95% CI] for intimal: 2.11 [1.07-4.13], IEL: 2.66 [1.39-5.11], and mixed subtype 2.57 [1.18-5.61]). The association of the IEL subtype with stroke was strongest among older participants. The association of the intimal subtype with stroke was noticeably stronger in women than in men. Conclusions: Calcification of the IEL was the most prevalent subtype of intracranial arteriosclerosis. All 3 subtypes were associated with an increased risk of stroke, with noticeable age and sex-specific differences.

Diagnosis of ankle impingement is performed primarily by clinical examination, whereas medical imaging is used for severity staging and treatment guidance. The association of impingement symptoms with regional three-dimensional (3D) bone shape variaties visible in medical images has not been systematically explored, nor do we know the type and magnitude of this relation. In this cross-sectional case-control study, we hypothesized that 3D talus bone shape could be used to quantitatively formulate the discriminating shape variations between ankles with impingement from ankles without impingement, and we aimed to characterize and quantify these variations. We used statistical shape modeling (SSM) methods to determine the most prevalent modes of shape variations that discriminate between the impinged and nonimpinged ankles. Results of the compactness and parallel analysis test on the statistical shape model identify 8 prominent shape modes of variations (MoVs) representing approximately 78% of the total 3D variations in the population of shapes, among which two modes captured discriminating features between impinged and nonimpinged ankles (p value of 0.023 and 0.042). Visual inspection confirms that these two shape modes, capturing abnormalities in the anterior and posterior parts of talus, represent the two main bony risk factors in anterior and posterior ankle impingement. In conclusion, in this research using SSM we have identified shape MoVs that were found to correlate significantly with bony ankle impingement. We also illustrated potential guidance from SSMs for surgical planning.

Background and purpose — Being able to predict the hip–knee–ankle angle (HKAA) from standard knee radiographs allows studies on malalignment in cohorts lacking full-limb radiography. We aimed to develop an automated image analysis pipeline to measure the femoro-tibial angle (FTA) from standard knee radiographs and test various FTA definitions to predict the HKAA. Patients and methods — We included 110 pairs of standard knee and full-limb radiographs. Automatic search algorithms found anatomic landmarks on standard knee radiographs. Based on these landmarks, the FTA was automatically calculated according to 9 different definitions (6 described in the literature and 3 newly developed). Pearson and intra-class correlation coefficient [ICC]) were determined between the FTA and HKAA as measured on full-limb radiographs. Subsequently, the top 4 FTA definitions were used to predict the HKAA in a 5-fold cross-validation setting. Results — Across all pairs of images, the Pearson correlations between FTA and HKAA ranged between 0.83 and 0.90. The ICC values from 0.83 to 0.90. In the cross-validation experiments to predict the HKAA, these values decreased only minimally. The mean absolute error for the best method to predict the HKAA from standard knee radiographs was 1.8° (SD 1.3). Interpretation — We showed that the HKAA can be automatically predicted from standard knee radiographs with fair accuracy and high correlation compared with the true HKAA. Therefore, this method enables research of the relationship between malalignment and knee pathology in large (epidemiological) studies lacking full-limb radiography.

The bones forming the talocrural joint (TCJ) and subtalar joint (STJ) are often assumed to be bilaterally symmetric. Therefore, the contralateral limb (i.e. the fibula, tibia, calcaneus and talus) is used as a template or an intra-subject control in clinical and research practice. However, the validity of the symmetry assumption is controversial, because insufficient information is available on the shape variations and bilateral (a)symmetry of the fibula, tibia, calcaneus and talus. Using three-dimensional spatially dense sampled representations of bone shapes extracted from bilateral computed tomography scans of 66 individuals (55 male, mean age: 61 ± 10 years; 11 female, mean age: 53 ± 15 years), we analyzed whether: (i) similar shape patterns exist in the left and right bones of the same type; (ii) gender has an effect on bone shape variations; (iii) intra-subject shape variation is smaller than that of inter-subject for a given shape variance direction. For the first set of analyses, all left and right instances of the same type of bone were considered as two separate groups, and statistically compared with each other on multiple aspects including group location (central tendency), variance-covariance scale (dispersion) and orientation (covariance structure) using distance-based permutational tests. For the second and third sets of analyses, all left and right bones of the same type were pooled into one group, and shape variations in the TCJ and STJ bones were extracted using principal component analysis. The effects of gender on age-adjusted bone shape differences were assessed using an analysis of covariance. Moreover, intra-class correlation was employed to evaluate intra- and inter-subject bone shape variations. For each bone type, both sides had similar shape patterns (P_{permutational}-values > 0.05). After Bonferroni adjustment, gender led to shape differences, which were mainly in the lateral and medial condyles of the tibia (P = 0.003), the length and height of the calcaneus (P < 0.001), the posterior and anterior talar articular surfaces of the calcaneus (P = 0.001), and in the posterior aspect of the talus (P = 0.001). Intra-subject shape variations in the tibial tuberosity together with the diameter of the tibia, and the curvature of the fibula shaft and the diameter of the fibula were as high as those of inter-subject. This result suggests that the shape symmetry assumption could be violated for some specific shape variations in the fibula and tibia.