Citations

Abstract INTRODUCTION Magnetic resonance imaging (MRI) research has advanced our understanding of neurodegeneration in sporadic early‐onset Alzheimer's disease (EOAD) but studies include small samples, mostly amnestic EOAD, and have not focused on developing an MRI biomarker. METHODS We analyzed MRI scans to define the sporadic EOAD‐signature atrophy in a small sample (n = 25) of Massachusetts General Hospital (MGH) EOAD patients, investigated its reproducibility in the large longitudinal early‐onset Alzheimer's disease study (LEADS) sample (n = 211), and investigated the relationship of the magnitude of atrophy with cognitive impairment. RESULTS The EOAD‐signature atrophy was replicated across the two cohorts, with prominent atrophy in the caudal lateral temporal cortex, inferior parietal lobule, and posterior cingulate and precuneus cortices, and with relative sparing of the medial temporal lobe. The magnitude of EOAD‐signature atrophy was associated with the severity of cognitive impairment. DISCUSSION The EOAD‐signature atrophy is a reliable and clinically valid biomarker of AD‐related neurodegeneration that could be used in clinical trials for EOAD. Highlights We developed an early‐onset Alzheimer's disease (EOAD)–signature of atrophy based on magnetic resonance imaging (MRI) scans. EOAD signature was robustly reproducible across two independent patient cohorts. EOAD signature included prominent atrophy in parietal and posterior temporal cortex. The EOAD‐signature atrophy was associated with the severity of cognitive impairment. EOAD signature is a reliable and clinically valid biomarker of neurodegeneration.

Abstract Alzheimer's disease (AD) exhibits spatially heterogeneous 3R/4R tau pathology distributions across participants, making it a challenge to quantify extent of tau deposition. Utilizing Tau-PET from three independent cohorts, we trained and validated a machine learning model to identify visually positive Tau-PET scans from regional SUVR values and developed a novel summary measure, THETA, that accounts for heterogeneity in tau deposition. The model for identification of tau positivity achieved a balanced test accuracy of 95% and accuracy of ≥87% on the validation datasets. THETA captured heterogeneity of tau deposition, had better association with clinical measures, and corresponded better with visual assessments in comparison with the temporal meta-region-of-interest Tau-PET quantification methods. Our novel approach aids in identification of positive Tau-PET scans and provides a quantitative summary measure, THETA, that effectively captures the heterogeneous tau deposition seen in AD. The application of THETA for quantifying Tau-PET in AD exhibits great potential.

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.

Abstract There is a longstanding ambiguity regarding the clinical diagnosis of dementia syndromes predominantly targeting executive functions versus behaviour and personality. This is due to an incomplete understanding of the macro-scale anatomy underlying these symptomatologies, a partial overlap in clinical features and the fact that both phenotypes can emerge from the same pathology and vice versa. We collected data from a patient cohort of which 52 had dysexecutive Alzheimer’s disease, 30 had behavioural variant frontotemporal dementia (bvFTD), seven met clinical criteria for bvFTD but had Alzheimer’s disease pathology (behavioural Alzheimer’s disease) and 28 had amnestic Alzheimer’s disease. We first assessed group-wise differences in clinical and cognitive features and patterns of fluorodeoxyglucose (FDG) PET hypometabolism. We then performed a spectral decomposition of covariance between FDG-PET images to yield latent patterns of relative hypometabolism unbiased by diagnostic classification, which are referred to as ‘eigenbrains’. These eigenbrains were subsequently linked to clinical and cognitive data and meta-analytic topics from a large external database of neuroimaging studies reflecting a wide range of mental functions. Finally, we performed a data-driven exploratory linear discriminant analysis to perform eigenbrain-based multiclass diagnostic predictions. Dysexecutive Alzheimer’s disease and bvFTD patients were the youngest at symptom onset, followed by behavioural Alzheimer’s disease, then amnestic Alzheimer’s disease. Dysexecutive Alzheimer’s disease patients had worse cognitive performance on nearly all cognitive domains compared with other groups, except verbal fluency which was equally impaired in dysexecutive Alzheimer’s disease and bvFTD. Hypometabolism was observed in heteromodal cortices in dysexecutive Alzheimer’s disease, temporo-parietal areas in amnestic Alzheimer’s disease and frontotemporal areas in bvFTD and behavioural Alzheimer’s disease. The unbiased spectral decomposition analysis revealed that relative hypometabolism in heteromodal cortices was associated with worse dysexecutive symptomatology and a lower likelihood of presenting with behaviour/personality problems, whereas relative hypometabolism in frontotemporal areas was associated with a higher likelihood of presenting with behaviour/personality problems but did not correlate with most cognitive measures. The linear discriminant analysis yielded an accuracy of 82.1% in predicting diagnostic category and did not misclassify any dysexecutive Alzheimer’s disease patient for behavioural Alzheimer’s disease and vice versa. Our results strongly suggest a double dissociation in that distinct macro-scale underpinnings underlie predominant dysexecutive versus personality/behavioural symptomatology in dementia syndromes. This has important implications for the implementation of criteria to diagnose and distinguish these diseases and supports the use of data-driven techniques to inform the classification of neurodegenerative diseases.

Abstract Given the prevalence of dementia and the development of pathology-specific disease-modifying therapies, high-value biomarker strategies to inform medical decision-making are critical. In vivo tau-PET is an ideal target as a biomarker for Alzheimer’s disease diagnosis and treatment outcome measure. However, tau-PET is not currently widely accessible to patients compared to other neuroimaging methods. In this study, we present a convolutional neural network (CNN) model that imputes tau-PET images from more widely available cross-modality imaging inputs. Participants (n = 1192) with brain T1-weighted MRI (T1w), fluorodeoxyglucose (FDG)-PET, amyloid-PET and tau-PET were included. We found that a CNN model can impute tau-PET images with high accuracy, the highest being for the FDG-based model followed by amyloid-PET and T1w. In testing implications of artificial intelligence-imputed tau-PET, only the FDG-based model showed a significant improvement of performance in classifying tau positivity and diagnostic groups compared to the original input data, suggesting that application of the model could enhance the utility of the metabolic images. The interpretability experiment revealed that the FDG- and T1w-based models utilized the non-local input from physically remote regions of interest to estimate the tau-PET, but this was not the case for the Pittsburgh compound B-based model. This implies that the model can learn the distinct biological relationship between FDG-PET, T1w and tau-PET from the relationship between amyloid-PET and tau-PET. Our study suggests that extending neuroimaging’s use with artificial intelligence to predict protein specific pathologies has great potential to inform emerging care models.

Introduction: As interest in metastasis-directed therapy (MDT) for prostate cancer (PCa) grows, exploring indications and patient selection is increasingly more important. Thus far, few studies have described long-term outcomes after surgical MDT in those with disease recurrence involving the lung. The objective of our study was to compare the cumulative incidence of cancer-related death by treatment modality in men with metachronous pulmonary metastases from PCa. Methods: In a single-institution retrospective study, we identified 75 men from the prospectively maintained Mayo Clinic C-11 Positron Emission Tomography Choline PCa registry with recurrent prostate cancer involving the lung but no other visceral organs. Patients were categorized into 3 groups based on treatment modalities: wedge resection ± hormonal therapy, chemohormonal therapy, and hormonal therapy alone. The risk of cancer-related death after treatment at the time of lung metastases was reported as cumulative incidence estimates. Non–cancer-related deaths were treated as a competing risk of death. A univariate Cox regression model was conducted to assess the impact of treatment modality on the risk of cancer-related death. Results: At the time of lung metastasis, the median age was 69.5 years, and the median (IQR) prostate-specific antigen was 4 (1.3-8.6) ng/ml. Forty-seven patients (62.7%) had hormone-sensitive disease, and 28 patients (37.3%) had hormone-resistant disease. A total of 26 patients (34.7%) were treated with wedge resection ± hormonal therapy, 27 (36%) with chemohormonal therapy, and 22 (29.3%) with hormonal therapy alone. The median (IQR) follow-up time was 50.3 (31.1-78.4) months, and 21 patients (28%) died. Patients who were treated with wedge resection ± hormonal therapy had lower rated of cancer-related death compared with those who received chemohormonal therapy (Hazard Ratio [HR]: 4.14, 95% CI: 1.01-16.96, P = .048) or hormonal therapy alone (HR: 6.37, 95% CI: 1.72-23.54, P = .005). Conclusion: This exploratory analysis supports the safety and feasibility of surgical metastasis-directed therapy in select patients with recurrent prostate cancer involving the lung. Favorable long-term survival provides justification for further evaluation of this approach.

Abstract Disclosure: S. Paknikar: None. J. McHugh: None. K. Rachmasari: None. I. Bancos: None. Introduction: Ectopic secretion of adrenocorticotropic hormone (ACTH) is a rare and severe form of Cushing Syndrome (CS) that requires an urgent specialized approach for diagnosis and management. Clinical Case: A 50-year-old woman was referred to endocrinology due to concern for CS. Over the previous year she had developed progressive weakness, edema, weight gain with abdominal fat redistribution, hypertension, and multiple compression fractures. On exam, she had a profound proximal myopathy, reported 10/10 pain along the spine, and was hypertensive (170/105 mm Hg) with normal other vitals. The patient's sodium was 141mmol/L [reference range 135-145 mmol/ L], potassium 4.1 mmol/L [3.6-5.2 mmol/L] while on spironolactone, and creatinine was 0.57 mg/dL [0.59-1.04 mg/dL]. Due to the severity of her symptoms, she was admitted to the hospital. Hormonal work up was consistent with an ACTH dependent CS: ACTH was 121pg/mL [7.2-63 pg/mL] and 24-hour urine cortisol was 645 mcg/24 hr [3.5-45 mcg/24 hr]. Workup for ACTH secreting tumor included a pituitary MRI which showed a 3 mm area of delayed enhancement in the pituitary gland, felt to be artifactual. A chest computed tomography (CT) showed a 1.3 cm low-density nodule in the right upper lobe concerning for a neuroendocrine tumor. A Gallium-68 DOTATATE Positron emission tomography/CT scan was performed and demonstrated that the nodule was highly DOTATATE avid (Krenning score of 3, scale of 0-4). These findings supported a diagnosis of ectopic CS caused by an ACTH secreting lung neuroendocrine tumor. Management of ectopic CS was twofold: addressing the underlying ACTH secreting lesion and urgent treatment of hypercortisolism and its consequences. In this case, this was achieved with CT-guided cryoablation of the right upper lobe nodule. The ACTH levels were monitored postoperatively, and when decreased (9.3pg/mL [ 7.2-63 pg/mL], glucocorticoid replacement therapy was initiated. As a result of prolonged hypercortisolism, the patient experienced multiple compression fractures and debility. Physical therapy was recommended for recovery from the compression fractures as well as proximal myopathy. Enoxaparin was initiated due to risk of venous thromboembolism from CS. From an osteoporosis standpoint, she was continued on calcium and vitamin-D supplementation and treated with weekly alendronate. Her hypertension improved allowing medication reduction. Postoperatively, she received education on adrenal insufficiency and biochemical monitoring for adrenal insufficiency recovery was implemented. Conclusion: Ectopic ACTH secreting tumors represent a rare cause of CS and effective management requires consideration of medical comorbidities to determine the approach: surgical, cryoablative, or medical therapy alone, mitigation of Cushing syndrome sequelae, and prompt recognition and treatment of glucocorticoid withdrawal. Presentation: Thursday, June 15, 2023