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Abstract Background Precise cross‐tracer harmonization of tau PET imaging is essential for comparing tau burden across different tracers and studies. Here, we evaluated the performance of the universal tau PET scale (Uniτ) in harmonizing Flortaucipir, MK6240, PI2620, and RO948 tau PET images into a universal scale. Method We assessed 485 individuals across aging and AD spectrum scanned head‐to‐head with Flortaucipir and MK6240, and a subset of 90 individuals with additional PI2620 and RO948. We generated tau PET SUVRs using the inferior cerebellar gray matter as reference with a common 8mm FWHM. We estimated Uniτ parameters on a training set ( n = 200) by fitting a smoothed hyperbolic tangent equation to the Meta‐Temporal ROI anchored in the mean SUVR of young participants and the 90th percentile from cognitively impaired individuals. We compared tau positivity on the Uniτ scale with classifications from SUVRs (mean + 3 SD from Youngs). We applied the same equation to all brain voxels to generate Uniτ 3D images. Then, we extracted mean Uniτ values for key ROIs and correlated them with ROI‐based Uniτ values to evaluate voxel‐wise estimates. Result Using tracer‐specific parameters, Uniτ harmonized Flortaucipir, MK6240, PI2620, and RO948 to the same scale, aligning values near the identity line and confirming its applicability across tau PET tracers (Figure 1). For Flortaucipir, Uniτ tau positivity matched original SUVR classifications (ground truth), with only one mismatch for MK6240 (Figure 1). Applying the Uniτ transformation to all brain voxels effectively harmonized 3D images to a common scale, reducing visual variabilities (Figure 2). Furthermore, ROI‐based estimates and those extracted from the 3D Uniτ images were identical (Figure 3). Conclusion Our results indicate that tau PET tracers can be harmonized to a common scale using a large head‐to‐head dataset. The Uniτ scale can harmonize entire 3D tau PET images, suggesting that there is no need to use pre‐established ROIs, which would constrain the analysis to a few brain regions. Uniτ is freely accessible across platforms ( www.unitau.app ) for ROI and 3D tau PET harmonization.

Abstract Background Many risk factors can contribute to the occurrence of Alzheimer`s Disease (AD). However, little is known about the impact of dementia risk factors to the uptake of tau‐PET tracers. Therefore, in this work we aim to investigate the influence of dementia risk factors and comorbidities on 18 F‐Flortaucipir (FTP) and 18 F‐MK6240 (MK) tau‐PET tracers’ uptake. Additionally, we will assess how these factors impact the association of tau‐PET and cognition. Method We accessed 436 individuals across the aging and AD spectrum (251 amyloid negative and 185 amyloid positive) from the HEAD study, with available Aβ‐PET, FTP, MK, and clinical assessments. Linear regression models corrected for age, sex, clinical diagnosis, and study site tested the association of factors with tau‐PET tracers in the medial temporal lobe (MTL). A tau‐PET × risk factor term was added to test the influence of risk factors to the association of tau with cognition. Result In amyloid‐β negative individuals, high BMI were positively associated with the uptake of both FTP and MK, whereas hearing loss were positively associated only with MK in the MTL (Figure 1A). In amyloid‐β positive individuals, high body mass index (BMI), hearing loss and sleep disorders were negatively associated with the uptake of both tau‐PET tracers in the MTL. On the other hand, hypertension showed negative association only with MK uptake (Figure 1B). Using Mini‐Mental State Examination (MMSE) scores as outcome, we observed that amyloid‐β negative individuals with high BMI showed worse cognitive performance as a function of both MK and FTP in the MTL, whereas individuals with vision impairment and hearing loss showed worse cognitive performance as a function of MK only (Figure 2A). Amyloid‐β positive individuals with hypercholesterolemia and hypertension presented worse cognitive performance as a function of both MK and FTP in the MTL (Figure 2B). Conclusion In this preliminary analysis, sleep disorders, hypertension, and high BMI were independently associated with tau‐PET tracer uptake, with the effects varying according to amyloid‐β pathology. These prevalent factors in the elderly also changed the association between tau‐PET and cognition, underscoring the need for further studies to better understand their role in modulating this relationship.

Abstract Background Tau PET measures are inherently continuous and applying dichotomized thresholds introduces conceptual and analytical idiosyncrasies. Understanding the limitations in the transition from tau‐negative to tau‐positive classifications is crucial for the effective use of these thresholds. This study aims to determine the confidence levels of tau PET thresholds of abnormality for different tau PET tracers by characterizing their "gray zone" using the universal tau PET scale (Uniτ, www.unitau.app ). Method We evaluated 485 individuals across the aging and AD spectrum from the HEAD study, with head‐to‐head scans for MK6240 and Flortaucipir. Uniτ estimates were derived from the Meta‐Temporal ROI. Tau positivity (T+) was defined as Uniτ values exceeding the mean plus 3 SD of individuals younger than 28 years ( n = 24). Two physicians independently performed a visual assessment of tau positivity for each tracer, with agreement indicating clear tau pathology (TVR+). Logistic regression was used to estimate the probability of TVR+ across Uniτ values for each tracer ( n = 189, CU elderly Aβ‐ and CI Aβ+). Individuals were classified as negative, positive, or within a "gray zone" between the most liberal T+ threshold and varying TVR+ probability thresholds (50%, 75%, 90%, 95%, and 99%). Result The Uniτ gray zone, defined as a function of TVR+ probabilities, demonstrated consistency between the two tracers, with differences observed only in the decimal range. The most liberal Uniτ threshold for T+ was 11.0 for both MK6240 and Flortaucipir, closely matching the 50% TVR+ probability threshold (11.1 for MK6240 and 11.7 for Flortaucipir). Higher TVR+ probabilities corresponded to increased Uniτ values with MK6240 and Flortaucipir showing near‐identical values between the tracers: 14.2 and 14.8 for 75%, 17.3 and 17.9 for 90%, 19.4 and 19.9 for 95%, and 24.1 and 24.6 for 99%, respectively (Figure 1). In total, 26 participants fell within the gray zone for MK6240, compared to 47 participants for Flortaucipir. Conclusion These findings highlight the potential of Uniτ to provide a standardized approach for assessing tau positivity across tracers. By combining quantitative Uniτ measures with visual assessments, we enhance the understanding of tau positivity certainty, particularly in the transition between negative and positive classifications.

Abstract Background The Alzheimer's disease (AD) Braak staging is a key framework for classifying tau pathology progression in AD based on histopathological post‐mortem brain examinations. However, adapting it to PET imaging can be challenging due to differences in tracer uptake patterns and binding properties, which affect sensitivity, specificity, and regional staging. This study compares Braak staging across four tau PET tracers: Flortaucipir, MK6240, PI2620, and RO948. Methods We assessed 90 participants across the AD spectrum (46 CU, 31 MCI, 13 dementia; mean age 66.1 ± 7.8) using Aβ PET and four tau PET tracers: (Flortaucipir, MK6240, PI2620, and RO948). Braak positivity was defined based on Aβ− CU individuals (mean +2.5 SD, SUVR). To evaluate systematic bias and agreement between tracers, we computed pairwise differences at corresponding Braak stage estimates and applied the Bland‐Altman method to assess mean bias and limits of agreement. Additionally, Tau PET Braak region trajectories were modeled as functions of Aβ burden (Centiloid scale) using the Lowess method. Results Braak stage trajectories as a function of Aβ differ depending on the tracer and the sequential order of abnormality is highly variable. For instance, while for MK6240, RO948 and PI2620, Braak I is the first region to became abnormal, for Flortaucipir the earliest region to became abnormal is Braak IV (Figure 1). This variable pattern of abnormality impacts in the concordance of Braak staging between tracers with the highest Braak staging agreement resulting in concordance levels of approximately 70%. The highest levels of agreement between tracers usually happen at Braak 0 or Braak IV‐V, with intermediate stages showing very low concordance (Figure 2). The Bland‐Altman analysis identified wide limits of agreement, suggesting high variability and high tracer‐specific differences (Figure 3). On the other hand, it also identified that mean differences between tracers were small, indicating minimal systematic bias. Conclusion These preliminary findings reveal discrepancies in Braak staging when comparing Flortaucipir, MK6240, PI2620 and RO948. These findings suggest that while the tracers provide comparable stages on average, they may not be fully interchangeable in individual cases.

Abstract Background Tau‐PET tracers are essential for visualizing pathology in Alzheimer’s (AD). High detectability to tau is crucial for early detection and monitoring of tau deposition. This study compares the noise to dynamic range ratio (NRR) of [ 18 F]FTP, [ 18 F]MK6240, [ 18 F]PI2620, and [ 18 F]RO948, cross‐sectionally and longitudinally. Methods 460 individuals from the HEAD study (23 cognitively unimpaired (CU) young, 249 CU old and 188 cognitively impaired) underwent [ 18 F]FTP and [ 18 F]MK6240 tau‐PET scans; 94 additionally received [ 18 F]PI2620 and [ 18 F]RO948. A subset of 28 individuals (15 CU and 13 CI) underwent [ 18 F]FTP and [ 18 F]MK6240 follow‐up scans (1.5 ± 0.1 years later). Annual change was measured as [(followup‐baseline)/time between scans]. Noise was calculated as the standard deviation (SD) of CU Aβ‐ participants aged ≤65 (SD CUAβ‐≤65 ). The dynamic range was calculated as the SD across all subjects (SD range ). A lower the NRR (=SD CUAβ‐≤65 /SD range ) indicates more detectability. Analyses were performed at both region‐of‐interest and voxel‐wise levels. Results Across the whole cohort, [ 18 F]MK6240 exhibited lower NRR than [ 18 F]FTP in all regions. Voxel‐wise, differences were most pronounced in the frontal medial temporal regions (Figure 1). Within the four‐tracers subset, [ 18 F]PI2620 and [ 18 F]FTP showed the highest NRR in Braak II, followed by [ 18 F]RO948 and [ 18 F]MK6240. In Braak IV‐VI, [ 18 F]MK6240 consistently demonstrated the lowest values, followed by [ 18 F]PI2620, [ 18 F]FTP and [ 18 F]RO948. Similarly, in metatemporal‐ROI and Braak III, [ 18 F]MK6240 remained the lowest, however followed by [ 18 F]FTP, [ 18 F]PI2620 and [ 18 F]RO948 (Figure 2). Lower [ 18 F]MK6240 NRR was due to larger SD range , while [ 18 F]FTP's lower values stemmed from smaller SD CUAβ‐≤65 . Conversely, high [ 18 F]PI2620 and [ 18 F]RO948 values are driven by larger SD CUAβ‐≤65 . Longitudinal analyses further confirmed that [ 18 F]MK6240 exhibited the lowest NRR across the entire brain, including AD‐related regions, with voxel‐wise differences mainly in the temporal and parietal lobes. Conclusion Tau‐PET tracers exhibit significant variability in detectability. [ 18 F]MK6240 consistently demonstrated lower NRR, implying better detectability across all regions, cross‐sectionally and longitudinally. Despite differences in NRR, [ 18 F]FTP, [ 18 F]RO948 and [ 18 F]PI2620 followed similar pattern. These results provide insights into the differential tracer detectability, helping guide their optimal use in detecting and tracking tau pathology. Ongoing follow‐up scans will further clarify longitudinal tracer detectability and its implications for tau progression in AD.

Abstract Background Tau‐PET tracers have been used to monitor the progression of Alzheimer’s disease (AD). However, different tracers present distinct patterns of binding throughout the brain, challenging the harmonization of their findings. Leveraging the HEAD Study, the largest head‐to‐head study of tau‐PET tracers, we recently developed the Uniτ scale, which cross‐sectionally harmonizes Flortaucipir and MK6240 onto a universal tau‐PET measurement. Here, we provide a preliminary evaluation of the Uniτ scale’s longitudinal performance in HEAD and two independent cohorts. Methods We assessed 422 individuals across the AD spectrum with longitudinal tau‐PET from three cohorts: HEAD [13 cognitively unimpaired (CU), 9 cognitively impaired (CI) individuals, scanned head‐to‐head with Flortaucipir and MK6240], ADNI [74 CU, 208 CI, tracer: Flortaucipir], and TRIAD [72 CU, 46 CI, tracer: MK6240]. Standardized uptake ratios (SUVRs) were harmonized to Uniτ using the Uniτ Ecosystem ( unitau.app ). Braak I‐II and the Meta‐Temporal regions were used as regions of interest. Annual tau‐PET uptake change was calculated, and the effect size was defined as the mean annual change divided by its standard deviation. Results In HEAD, annual change in tau‐PET uptake in Braak I‐II across CU and CI was only detectable in MK6240 (Figure 1A). However, both tracers detected significant annual changes in the Meta‐Temporal ROI for CI (Figure 1B). In both ADNI (Flortaucipir) and TRIAD (MK6240), changes in tau‐PET uptake in Braak I‐II regions were not significant (Figures 2‐3A). However, across all cohorts, the Meta‐Temporal ROI consistently showed detectable annual tau‐PET increases—most pronounced among CI—leading to larger effect sizes than in Braak I‐II (Figures 1‐3B). The Uniτ harmonization did not fundamentally alter the pattern of the findings. However, in ADNI (Flortaucipir), Uniτ yielded a slightly higher effect size than SUVR in CU for both Braak I‐II and Meta‐Temporal regions. Conclusion In this large longitudinal sample, our findings confirm that Flortaucipir and MK6240 can detect tau PET changes over time likely associated with the progression of tau tangle pathology. While MK6240 appears to show greater progression in CU, both tracers progress similarly in CI. Our data also suggested that Uniτ harmonized tau PET measurements maintain the longitudinal characteristics of each tau PET tracer for use in clinical trials.

ABSTRACT Background Ehlers–Danlos syndrome (EDS) comprises inherited connective tissue disorders characterised by joint hypermobility, skin hyperextensibility and tissue fragility. It links to systemic comorbidities, including gastrointestinal (GI) disorders, but hitherto large‐scale data remain limited. We aimed to evaluate the prevalence of GI, systemic and psychological comorbidities in EDS patients versus propensity score‐matched controls, using a comprehensive research network database. Design This was a retrospective, propensity‐matched analysis (2005–2023) utilising the TriNetX network. We identified EDS patients (excluding Marfan's syndrome). Propensity score matching (1:1) generated balanced cohorts for age, sex and baseline characteristics. Comorbidities were analysed via prevalence rates and odds ratios (ORs) with 95% confidence intervals (CIs). Results Matched cohorts included 59,128 pairs. Among GI disorders, gastroesophageal reflux disease was most common in EDS (18.4%, OR 1.5, 95% CI 1.4–1.5, p < 0.001), followed by constipation (12.4%, OR 1.8, 95% CI 1.7–1.9, p < 0.001), irritable bowel syndrome (7.3%, OR 2.6, 95% CI 2.5–2.8, p < 0.001) and gastroparesis (4.7%, OR 8.2, 95% CI 7.3–9.2, p < 0.001). Psychiatric conditions showed heightened prevalence of anxiety (26.1%, OR 1.8, 95% CI 1.7–1.8, p < 0.001) and depression (18.7%, OR 1.3, 95% CI 1.2–1.3, p < 0.001). Systemic comorbidities included postural orthostatic tachycardia syndrome (13.2%, OR 899.7, 95% CI 483.8–1673.0, p < 0.001), chronic pain (7.9%, OR 7.0, 95% CI 6.4–7.6, p < 0.001), migraines (19.7%, OR 2.5, 95% CI 2.4–2.6, p < 0.001) and fibromyalgia (9.5%, OR 1.7, 95% CI 1.6–1.8, p < 0.001). Conclusion EDS patients exhibit heightened risk for GI, systemic and psychological comorbidities, highlighting the importance of multidisciplinary approaches for effective management.

Abstract Introduction Periacetabular osteotomy (PAO) is performed in the setting of hip dysplasia to increase acetabular coverage of the femoral head and improve joint biomechanics and longevity. PAO fixation is generally achieved with two or three 4.5 mm screws, as compared to the generally more substantial plate and screw constructs used in the setting of acetabular fractures or pelvic ring injuries. The purpose of this study was to evaluate postoperative changes in hip joint center medialization and lateral acetabular coverage following PAO, understanding that these radiographic measures are generally used to guide intra-operative assessment of correction. Methods A retrospective chart review of 100 consecutive PAOs during 2021-2023 at a single academic institution by four surgeons was performed. Perioperative radiographs and fluoroscopy images were evaluated to measure lateral center edge angle (LCEA), Tönnis angle, and medialization of the hip joint center. The hip joint center was measured at one-third of the diameter of the femoral head from inferior to superior, to the ilioischial line, as previously validated by Fowler and colleagues. Results One hundred PAOs in 87 patients (87% female, mean age: 23.0 years) were included. Average preoperative radiographic parameters were 19.9° for LCEA, 12.5° for Tönnis angle, and 12.6 mm for distance from the femoral head to ilioischial line. Ninety-four cases (94%) used three screws, and 6 cases (6%) used two screws for unstable fragment fixation. On immediate postoperative films, average correction was to 28.3° for LCEA, 4.9° for Tönnis angle, and 1.9 mm of pre- to postoperative femoral head medialization (p≤0.001). Patients were radiographically followed for an average of 13.3 months, with an average time to radiographic union of 7.1 months. During the course of follow-up, LCEA increased to 29.3°, Tönnis angle remained to 5.0° (p=0.47), and medialization increased to 2.7 mm (p≤0.02), suggesting further significant but clinically modest increases in lateral coverage and femoral head medialization. Conclusion While the majority of lateral acetabular coverage and femoral head medialization occurs intra-operatively at the time of PAO, patients undergo modest but statistically significant postoperative increases in lateral coverage and medialization prior to radiographic union.

Abstract Purpose Acetabular overcoverage (pincer morphology) has been suggested to be both a source of pain and dysfunction as well as potentially protective against osteoarthritic change. The purpose of this study was to compare minimum 5-year clinical outcomes of patients undergoing primary hip arthroscopic labral repair with a lateral center edge angle (LCEA) of ≥ 40° as compared to non-dysplastic controls with an LCEA of 25-40°. Methods We identified all patients that underwent primary hip arthroscopy with labral repair between 2009-2019 at a single academic institution. Patients with LCEA ≥ 40° (pincer) were propensity matched to non-dysplastic controls with LCEA 25-40° on a 1:2 basis by sex, age, body mass index (BMI), and year of surgery. Patient-reported outcome measures (PROMs) including Visual Analog Scale (VAS) for pain, Tegner activity score, modified Harris Hip Score (mHHS), International Hip Outcome Tool (iHOT-12), and Hip Outcome Score (HOS) were analyzed, as were reoperations and conversions to total hip arthroplasty (THA). Results Fifty-five patients with pincer morphology (mean preoperative LCEA: 41.9°, Tonnis angle: -7.3°, alpha angle: 58.8°) were matched to 110 non-dysplastic controls (LCEA: 31.2°, Tonnis angle: 2.2°, alpha angle: 58.9°), resulting in a total of 165 hips in 163 patients (67% females, mean age: 37.7 years, BMI: 26.8 kg/m2). Pincer patients were corrected to a mean postoperative LCEA of 38.7° (p&lt;0.0001), with 22 pincer patients having residual overcoverage, namely a postoperative LCEA ≥ 40° (range: 40.0-45.8°). At mean 7.8 years follow-up (range: 5.1-13.2), there was no difference in any postoperative PROMs between pincers and controls (p&gt;0.15) and no difference in PROMs between patients with residual overcoverage and pincer patients with a postoperatively normalized LCEA (p&gt;0.25). At final follow-up, 4 patients in the pincer cohort (7%) and 21 controls (19%) had converted to THA (p=0.046). Conclusion Patients with lateral acetabular overcoverage demonstrated similar and satisfactory postoperative PROMs at a minimum of 5-year follow-up compared to propensity-matched non-dysplastic controls, regardless of if the LCEA was corrected to &lt;40°. Of note, non-dysplastic controls demonstrated an increased rate of conversion to THA, supporting the potentially chondroprotective role of acetabular overcoverage.

Abstract Purpose Patients presenting for iliopsoas tendinitis consultation after total hip arthroplasty (THA) often describe a prolonged time to diagnosis and subsequent surgical management. The purpose of this study was to quantify time from symptom onset to diagnosis and subsequent arthroscopic iliopsoas fractional lengthening, including number of providers seen. Methods Patients undergoing arthroscopic iliopsoas fractional lengthening after THA were prospectively identified between 2023-2025 at a single institution. Time from symptom onset to iliopsoas tendinitis diagnosis as well as arthroscopic lengthening were determined. Number of providers seen, diagnostic relief from preoperative iliopsoas bursal injections, and postoperative satisfaction after fractional lengthening were also evaluated to better quantify indications and outcomes of arthroscopic intervention in this population. Results A total of 44 hips in 41 patients (23 females and 18 males) were included (mean age: 64.7 ± 10.2, mean BMI: 29.9 ± 5.9 kg/m2). Of note, 7 patients (16%) had undergone revision THA prior to iliopsoas symptom onset. Patients had on average 2.2 ± 2.1 years of symptoms and saw 2.5 ± 1.7 [range: 1-8] providers prior to being diagnosed with iliopsoas tendinitis and referred for consideration of arthroscopic fractional lengthening. Preoperatively, 93% of patients underwent at least 1 iliopsoas bursal corticosteroid injection, with an average of 81.1% symptom relief during the diagnostic (anesthetic) phase. The mean time between THA and iliopsoas fractional lengthening was 4.8 ± 3.4 years, whereas the mean time between initial iliopsoas tendinitis symptoms to fractional lengthening was 3.1 ± 2.5 years. At a mean of 11.3 ± 6.8 months postoperatively, mean surgery satisfaction was 8.1 ± 2.6 on a scale of 1 to 10, with the vast majority of patients (89.5%) stating that they would undergo fractional lengthening again. Conclusion Patients often experience a protracted period of symptoms and see multiple clinicians prior to being diagnosed with iliopsoas tendinitis and undergoing arthroscopic management. In patients refractory to conservative management, arthroscopic fractional lengthening can provide high surgery satisfaction, with most patients stating they would undergo the procedure again. These findings highlight the importance of increased recognition and appropriate referral of patients with iliopsoas tendinitis following THA.