Citations

Background: Cardiac CT acquired during the acute stroke imaging protocol is an emerging diagnostic modality to detect cardiac thrombi. We aimed to determine its diagnostic yield in a large, international, multicenter study. Methods: We performed an individual patient data meta-analysis by pooling prospective and retrospective observational data of patients with acute ischemic stroke (AIS) who underwent cardiac CT (ECG-gated or non-ECG-gated) as part of the acute imaging protocol between May 2018 and June 2024. We excluded patients with a TIA or stroke mimic. The primary outcome was the proportion of patients with a cardiac thrombus detected on cardiac CT. Secondary outcomes were additional scan time and radiation dose, comparison of yield with echocardiography, and 90-day mortality and recurrent ischemic stroke rates. Results: We included 3940 patients from 4 hospitals (median age 74 [IQR 63-82], 58.0% male, median NIHSS 6 [IQR 3-12], median time onset to hospital arrival 100 minutes [IQR 62-185]). Atrial fibrillation at baseline was present in 23.1% patients, and 29.6% had a large vessel occlusion. Cardiac CT was non-diagnostic in 17 (0.4%) patients. In total, cardiac CT detected 254 cardiac thrombi in 243/3923 (6.2%) patients. Thrombi were located in the left atrial appendage (n=193), left atrium (n=19), and left ventricle (n=42). Of 95/243 (39.1%) patients with a cardiac thrombus that underwent echocardiography (median interval cardiac CT-echocardiography: 2 days), transthoracic echocardiography detected a thrombus in 18/92 (19.6%) patients and transesophageal echocardiography in 2/5 (40.0%) patients. The diagnostic yield in patients that underwent both modalities was higher for cardiac CT (OR 7.5 [CI 4.0-15.3], p<0.001). Median additional scan time was 6 minutes (IQR 5-7) for ECG-gated and 17 seconds (IQR 15-63) for non-ECG-gated cardiac CT. Median additional radiation dose was 5.4mSv (IQR 3.0-7.6). Patients with a cardiac thrombus on cardiac CT had higher 90-day mortality than those without a thrombus (33.3% vs 14.6%, p<0.001). We found no difference in 90-day recurrent stroke rate (5.4% vs 4.4%, p=0.50). Conclusion: Routine cardiac CT performed during the acute stroke imaging protocol detects a cardiac thrombus in 1 out of 16 patients with AIS, with a 7-times higher yield than routine echocardiography. Mortality rate was doubled in patients with a cardiac thrombus, but 90-day stroke recurrence risk did not differ.

Background and Objectives: Pregnancy and the postpartum period increase the risk of cervical artery dissection (CEAD), a notable cause of stroke in young women. We aimed to describe the clinical presentation, imaging findings, and outcomes of CEAD occurring during pregnancy or shortly after delivery. Methods: We analyzed data from the STOP-CAD registry, a large international multicenter study of patients treated with antithrombotic therapy for non-traumatic CEAD between 2015 and 2021. This sub-study focused on women who were pregnant or within 12 weeks postpartum at the time of symptom onset. We assessed baseline clinical features, imaging results, acute stroke treatments, and functional outcomes. Results: Among 1,783 women in the registry, 62 (3.5%) had pregnancy-associated CEAD, with a median age of 34 years (IQR, 30-38). One-third had a history of migraine (33.9%), one-fifth had hypertension (21.0%), while other vascular risk factors were rare. Recent minor neck trauma was reported in 17.7%. Ischemic stroke symptoms occurred in 25 (40.3%) patients, and 23 (37.1%) had acute infarcts on imaging. However, most (59.7%) presented with non-ischemic symptoms. Vertebral artery dissections were more common than carotid dissections (62.9% vs. 48.4%), and 33.9% had multivessel involvement. Among patients presenting with ischemic stroke symptoms, 4 received thrombolysis and 7 underwent thrombectomy. Remarkably, 92% had excellent functional recovery (modified Rankin Score 0–1) at 90 days, and there were no stroke recurrences at 180 days. Conclusion: Pregnancy- and postpartum-associated CEAD is uncommon and associated with ischemic stroke in nearly half of patients. A history of migraine and hypertension may be potential risk factors. Despite the severity of presentation, most patients had favorable outcomes with timely treatment.

Background: The rate of intracardiac thrombus detection in the hyperacute phase of stroke varies from 5% to 12% between studies. Our aim was to compare the thrombus detection rate between ECG-gated and non-ECG-gated cardiac CT protocols in acute stroke patients, using data from a large, international, multicentre registry. Methods: We conducted an individual patient data meta-analysis by pooling prospective and retrospective observational data from stroke patients assessed at four comprehensive stroke centres who underwent either ECG-gated or non-ECG-gated cardiac CT (extended CT angiography or two-phase non-ECG-gated cardiac CT) as part of the acute stroke imaging protocol between May 2018 and June 2024. The primary outcome was the proportion of patients with a cardiac thrombus in gated vs non gated techniques. Results: Of 3,940 patients, 1,474 (37.4%) underwent ECG-gated and 2,466 (62.6%) non-ECG-gated cardiac CT. Patients in the ECG-gated group were younger (median age 72 [IQR 62–81] vs. 74 [IQR 64–82] years, p = 0.000) and had a lower NIHSS at baseline (median 5 [IQR 2–12] vs. 6 [IQR 3–13], p < 0.00). There was a higher rate of thrombus detection with ECG-gated CT compared to non-gated CT (7.5% vs. 5.5%, p = 0.011. The association remained significant after adjusting for age, sex, baseline NIHSS score, and baseline atrial fibrillation (adjusted OR 1.87, 95% CI 1.42–2.47, p = 0.000). ECG-gated CT was associated with lower radiation dose (3.6 vs. 6.3 mSv, p = 0.000) but longer acquisition time (5.8 vs. 0.28 min, p = 0.000). Conclusion: ECG-gated cardiac CT has a higher detection rate for intracardiac thrombus detection compared to non-ECG-gated CT in patients with acute ischemic stroke.

Background and Objectives: Cervical artery dissection (CeAD) is a common cause of ischemic stroke in young adults. We aim to identify age-based differences in clinical presentation, imaging findings, and outcomes after CeAD. Methods: This was a sub-study using the STOP-CAD registry, a multicenter cross-sectional international retrospective study of patients diagnosed with CeAD and treated with an antithrombotic from January 1, 2015 to December 31, 2021. Baseline clinical and imaging characteristics were compared between younger and older adults with CeAD (≤45 versus >45 years of age) using multivariable logistic regression. We chose this age cut off due to its frequent usage in stroke in the young literature. Multiple logistic regression models were used to determine association between young age and outcomes after CeAD (ischemic stroke at 180 days, excellent functional outcome with modified Rankin Scale of 0-1 at 90 days, and mortality) after adjusting for sex, vascular risk factors, CeAD characteristics, and NIHSS on presentation. Results: Among 4023 CeAD patients included in the study, 1901 (47.3%) were ≤45 years of age. Patients were followed for a median of 307 days (IQR 102-831). Young adults with CeAD were more likely to be women (Odds Ratio [OR], 2.4; 95% CI, 2.1-2.9; p<0.001), of Hispanic ethnicity (OR, 1.8; 95% CI 1.3-2.5; p<0.001), have a history of migraines (OR, 1.6; 95% CI, 1.3-2.0; p<0.001) and recent neck trauma (OR, 1.6; 95% CI, 1.3-1.9; p<0.001) while having fewer traditional vascular risk factors. Young adults with CeAD had higher odds of a non-ischemic presentation (OR, 1.3; 95% CI, 1.1-1.5; p=0.013), vertebral artery dissection (OR 2.5; 95% CI, 2.2-3.0; p<0.001), and multivessel involvement (OR 1.5; 95% CI, 1.1-1.9; p=0.004). In adjusted analysis, younger age was not associated with an increased risk of recurrent ischemic stroke (adjusted Hazard Ratio [HR], 0.48; 95% CI 0.2-1.2; p=0.119). Younger age was associated with significantly greater odds of excellent functional outcome at 90 days (aOR, 1.48; 1.20-1.84, p<0.001) and lower risk of death at follow up (aHR, 0.37; 95% CI, 0.17-0.81; p=0.012) after CeAD. Conclusion: In a large international cohort, young adults with CeAD had a distinct clinical phenotype with higher odds of non-ischemic presentation, vertebral artery dissection, and multivessel involvement while having fewer traditional vascular risk factors. Young adults had a decreased odds of disability and mortality after CeAD.

Abstract INTRODUCTION: Prostate cancer (PC) shows marked heterogeneity in clinical outcomes, from indolent to highly aggressive disease. Alterations in TP53, PTEN, RB1, and DNA damage repair genes are linked to poor patient outcomes, yet how the interaction and co-occurrence of these alterations impact prognosis remains unclear. We leveraged the AACR Project GENIE prostate cancer cohort to assess the prognostic impact of individual and concomitant gene alterations, focusing on key PC drivers (BRCA2, TP53, PTEN, RB1). METHODS: the study was conducted in two stages: (i) identification of candidate alterations at individual gene level through a systematic literature review, followed by analyzing the prevalence and co-occurrence of genes in the AACR Project GENIE Public Release (PR) dataset. (ii) Prognostic analysis of the pre-selected biomarkers in the AACR Project GENIE Biopharma Collaborative (BPC) cohort. Analyses were performed in three clinical settings (entire BPC cohort, n=1114; subgroup of patients with localized disease at diagnosis, n=837; and subgroup of patients with metastatic PC with a biopsy collected before or at the time of mPC, n=455) using two statistical approaches: univariate analysis (UA) and inverse probability weighting using propensity scores (PS). Cox models were applied to estimate overall survival hazard ratios (HRs). RESULTS: after integrating the findings from the systematic review with the analysis of the GENIE PR (n=5684), 107 individual genes and 122 co-occurring alterations were selected for study. In the GENIE BPC (n=1114 patients) 75% were M0 at diagnosis, and 67% presented metastatic PC at any time. Alteration prevalence was: TP53, 25%; PTEN, 15%; BRCA2, 4%; RB1, 4%; co-alterations included, PTEN-TP53 (6.4%), RB1-TP53 (2.1%), PTEN-RB1 (1.3%), and BRCA2-TP53 (1.2%). All four key genes showed a statistically significant prognostic impact in the entire cohort with UA (BRCA2, HR:1.9; TP53, HR:2.6; PTEN, HR:2.4; RB1, HR:4.1, all p&lt;0.001). Results were consistent in the subgroup analysis and when using PS. Additional genes such as FANCA, PIK3CA, and MYC were also associated with poor outcomes. Among co-alterations, BRCA2-TP53 (HR:2.0, p=0.05), RB1-TP53 (HR:3.6, p&lt;0.001), PTEN-TP53 (HR:2.4, p&lt;0.001); PTEN-RB1 (HR:5.5, p&lt;0.001), and PTEN-TP53-RB1 (HR:9.0, p&lt;0.001) were the strongest predictors of poor survival, with consistent effects across subgroups and analytical methods. Other combinations including MYC-TP53 (HR 2.2, p&lt;0.001) and PIK3CA-TP53 (HR 3.2, p&lt;0.001), also showed independent prognostic value. CONCLUSIONS: Genomic alterations in TP53, PTEN, RB1, and BRCA2, alone and in combination, independently associate with poor prognosis. Co-alteration patterns such as PTEN-TP53-RB1 define aggressive molecular subsets. This evidence supports integrating genomic interaction patterns for enhancing clinical risk models and guiding precision patient management. Furthermore, this study highlights the potential of AACR Project GENIE to enable data-driven development of biomarker-informed patient care strategies. Citation Format: Pablo Cresta Morgado, Victor Navarro, Guillermo Vilacampa, Haitham Alatoom, Manuel Ramos del Rio, Irbaz Riaz, Shawn Sweeney, Nikolaus Schultz, Ken Kehl, Gregory Riely, Wasim Abida, Katherine Panageas, Deborah Schrag, Philippe Bedard, Christine Micheel, Xindi Guo, Chelsea Nayan, Rodrigo Dientsmann, Joaquin Mateo. Genomic prognostic biomarkers in prostate cancer from the AACR GENIE cohort [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Innovations in Prostate Cancer Research and Treatment; 2026 Jan 20-22; Philadelphia PA. Philadelphia (PA): AACR; Cancer Res 2026;86(2_Suppl):Abstract nr A013.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen's kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure 1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure 1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure 2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure 2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen’s kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure‐1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure‐1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure‐2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure‐2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract Objectives Type B aortic dissection (TBAD) is rare in patients aged ≤30 years, and data on this population remain limited. This study aimed to characterize the underlying aetiology, and outcomes of invasively treated young patients with TBAD, with a focus on the impact of heritable thoracic aortic disease (HTAD). Methods A retrospective multicentre analysis was conducted across 19 international aortic centres, including 139 patients aged ≤30 years with TBAD. Patients with chronic TBAD (n = 42) were excluded for the final analysis. The cohort was classified as uncomplicated (n = 86) or complicated (n = 53) TBAD. Clinical, radiologic, intraoperative, and postoperative data were collected using standardized forms. Outcomes were compared between subgroups defined by TBAD complexity, HTAD status, and surgical strategy. Kaplan-Meier and Andersen-Gill analyses were used for survival and recurrent aortic intervention, respectively. Results Mean follow-up time was 6.5 years. HTAD was identified in 57% of patients. Most presented with uncomplicated TBAD (62%), while high-risk uncomplicated cases were uncommon. Endovascular repair was predominant in complicated TBAD, while open repair was more frequent in uncomplicated cases. Early mortality was low (n = 3), and mid-term survival was excellent across all subgroups. HTAD was a significant predictor of recurrent aortic interventions (HR = 3.3, P = .004). No significant differences were observed in survival or reintervention rates between uncomplicated and complicated TBAD or between operative strategies. Conclusions In young patients, TBAD predominantly occurs in the context of HTAD. Both open and endovascular repair are associated with excellent early outcomes and mid-term survival. However, HTAD remains a significant predictor of recurrent aortic interventions.

Abstract Background Topical steroid withdrawal syndrome (TSW) is an adverse event following discontinuation of topical corticosteroids (TCS) and is of growing interest among patients and dermatologists. The absence of well-defined diagnostic criteria and limited insights into the pathomechanisms make diagnosis and future research challenging. Objectives To propose preliminary diagnostic criteria for TSW with the erythemato-oedematous subtype applicable for adult and paediatric populations using a Delphi consensus approach informed by a thorough literature review that summarizes the signs, symptoms and histology of TSW. Methods Eleven clinicians experienced in diagnosing and treating suspected TSW in both children and adults participated in a three-round modified Delphi process. Two rounds of surveys were conducted, with items ranked using a 5-point Likert scale. A predefined consensus threshold of ≥ 75% was established for any one feature to be deemed important. The third round involved a live video conference where the panel reached a consensus on essential diagnostic criteria. Results The panel identified 18 critical diagnostic items, encompassing elements from the patient’s clinical history, signs and symptoms. This includes history of escalating TCS requirement, morphology and distribution differing from primary condition, regional or generalized spontaneous neuropathic pain and severe burning sensation of the skin. Conclusions Differentiating TSW from conditions such as severe atopic dermatitis remains challenging. By emphasizing the common signs and symptoms of TSW, we aim to encourage discussions among healthcare professionals and progress towards the development of a reliable diagnostic tool. An author video to accompany this article is available online.