BACKGROUND: 68 Ga-prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) is a recommended imaging modality for patients with recurrent prostate cancer (PCa). Its routine implementation before radical prostatectomy (RP) may allow avoiding undertreatment. We aimed to analyze the diagnostic accuracy of 68 Ga-PSMA-PET/CT for pelvic lymph node metastases in a large cohort of patients treated with RP and extended pelvic lymph node dissection (ePLND) for high-risk PCa. METHODS: This is a retrospective analysis of an institutional database of patients who underwent 68 Ga-PSMA-PET/CT before RP and ePLND for high-risk PCa. The diagnostic estimates of 68 Ga-PSMA-PET/CT with 95% confidence intervals (CIs) for lymph node involvement were calculated. RESULTS: We included 165 high-risk PCa patients. The median PSA value was 24.5 ng/mL (range: 6.7-185) and all the patients had biopsy Grade Group 4-5. In total, 46 (28%) of patients had clinical lymph node involvement at 68 Ga-PSMA-PET/CT. A mean number of resected lymph nodes per patient was 22 (range: 15-45) and 149 (4.2%) of all resected nodes were positive for lymph node metastasis at final pathology. The diagnostic estimates for the detection of pN+ disease at RP were as follows: sensitivity 63% (95% CI: 51-75), specificity 97% (95% CI: 91-99), positive predictive value 94% (95% CI: 82-99), and negative predictive value 79% (95% CI: 70-86). The total accuracy of PSMA-PET was 83% (95% CI: 76-88). CONCLUSION: Our analyses support high specificity and positive predictive value of pretreatment 68 Ga-PSMA PET/CT for the detection of pelvic lymph node metastasis in patients treated with RP for high-risk PCa. While a positive finding should be considered as robust indicator for clinical decision-making, a negative result cannot reliably rule out the presence of lymph node involvement in high-risk PCa; there is a need for advanced risk stratification in those patients.

• MeSH
• lidé MeSH
• lokální recidiva nádoru patologie   MeSH
• lymfatické metastázy diagnostické zobrazování   patologie   MeSH
• nádory prostaty * diagnostické zobrazování   chirurgie   patologie   MeSH
• PET/CT * metody   MeSH
• prostata diagnostické zobrazování   chirurgie   patologie   MeSH
• prostatektomie MeSH
• radioizotopy galia MeSH
• retrospektivní studie MeSH
• staging nádorů MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Accurate staging and identification of optimal candidates for local salvage therapy, such as salvage radical prostatectomy (SRP), is necessary to ensure optimal care in patients with radiorecurrent prostate cancer (PCa). We aimed to analyze performance of magnetic resonance imaging (MRI) and prostate-specific membrane antigen (PSMA)-positron emission tomography (PET)/computed tomography (CT) for predicting pathologic nonorgan confined disease (pT3) and lymph node involvement (pN+) in patients treated with SRP for radiorecurrent PCa. METHODS: We retrospectively reviewed the institutional database to identify patients who underwent MRI or 68 Ga-PSMA-PET/CT before SRP for radiorecurrent PCa. The diagnostic estimates of MRI and PSMA-PET/CT for pT3 and pN+, were calculated. RESULTS: We identified 113 patients with radiorecurrent PCa who underwent preoperative MRI followed by SRP; 53 had preoperative 68 Ga-PSMA-PET/CT. For the detection of pT3 disease, the overall accuracy of MRI was 70% (95% confidence interval [CI] 61-78), sensitivity 40% (95% CI 26-55) and specificity 94% (95% CI 85-98); PSMA-PET/CT had slightly higher accuracy of 77% (95% CI 64-88), and higher sensitivity of 90% (95% CI 68-99), but lower specificity of 70% (95% CI 51-84). For pN+ disease, MRI had poor sensitivity of 14% (95% CI 3-36), specificity of 50 (95% CI 39-61) and total accuracy of 43% (95% CI 34-53); PSMA-PET/CT had an accuracy of 85% (95% CI 72-93), sensitivity of 27% (95% CI 6-61), and specificity of 100% (95% CI 92-100). CONCLUSION: In patients with radiorecurrent PCa, both, MRI, and 68 Ga-PSMA PET/CT are valuable tools for the pre-SRP staging and should be integrated into the standard workup. For lymph node metastases, 68 Ga-PSMA PET/CT is a strong rule-in test with nearly perfect specificity; in contrast MRI had a low accuracy for lymph node metastases.

• MeSH
• lidé MeSH
• lymfatické metastázy patologie   MeSH
• magnetická rezonanční tomografie MeSH
• nádory prostaty * diagnostické zobrazování   radioterapie   chirurgie   MeSH
• PET/CT * metody   MeSH
• prostata patologie   MeSH
• prostatektomie MeSH
• radioizotopy galia MeSH
• retrospektivní studie MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

IMPORTANCE: One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers in cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of amyloid pathology are important for health care planning and clinical trial design. OBJECTIVE: To estimate the prevalence of amyloid abnormality in persons with normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia and to examine the potential implications of cutoff methods, biomarker modality (CSF or PET), age, sex, APOE genotype, educational level, geographical region, and dementia severity for these estimates. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional, individual-participant pooled study included participants from 85 Amyloid Biomarker Study cohorts. Data collection was performed from January 1, 2013, to December 31, 2020. Participants had normal cognition, subjective cognitive decline, mild cognitive impairment, or clinical AD dementia. Normal cognition and subjective cognitive decline were defined by normal scores on cognitive tests, with the presence of cognitive complaints defining subjective cognitive decline. Mild cognitive impairment and clinical AD dementia were diagnosed according to published criteria. EXPOSURES: Alzheimer disease biomarkers detected on PET or in CSF. MAIN OUTCOMES AND MEASURES: Amyloid measurements were dichotomized as normal or abnormal using cohort-provided cutoffs for CSF or PET or by visual reading for PET. Adjusted data-driven cutoffs for abnormal amyloid were calculated using gaussian mixture modeling. Prevalence of amyloid abnormality was estimated according to age, sex, cognitive status, biomarker modality, APOE carrier status, educational level, geographical location, and dementia severity using generalized estimating equations. RESULTS: Among the 19 097 participants (mean [SD] age, 69.1 [9.8] years; 10 148 women [53.1%]) included, 10 139 (53.1%) underwent an amyloid PET scan and 8958 (46.9%) had an amyloid CSF measurement. Using cohort-provided cutoffs, amyloid abnormality prevalences were similar to 2015 estimates for individuals without dementia and were similar across PET- and CSF-based estimates (24%; 95% CI, 21%-28%) in participants with normal cognition, 27% (95% CI, 21%-33%) in participants with subjective cognitive decline, and 51% (95% CI, 46%-56%) in participants with mild cognitive impairment, whereas for clinical AD dementia the estimates were higher for PET than CSF (87% vs 79%; mean difference, 8%; 95% CI, 0%-16%; P = .04). Gaussian mixture modeling-based cutoffs for amyloid measures on PET scans were similar to cohort-provided cutoffs and were not adjusted. Adjusted CSF cutoffs resulted in a 10% higher amyloid abnormality prevalence than PET-based estimates in persons with normal cognition (mean difference, 9%; 95% CI, 3%-15%; P = .004), subjective cognitive decline (9%; 95% CI, 3%-15%; P = .005), and mild cognitive impairment (10%; 95% CI, 3%-17%; P = .004), whereas the estimates were comparable in persons with clinical AD dementia (mean difference, 4%; 95% CI, -2% to 9%; P = .18). CONCLUSIONS AND RELEVANCE: This study found that CSF-based estimates using adjusted data-driven cutoffs were up to 10% higher than PET-based estimates in people without dementia, whereas the results were similar among people with dementia. This finding suggests that preclinical and prodromal AD may be more prevalent than previously estimated, which has important implications for clinical trial recruitment strategies and health care planning policies.

• MeSH
• Alzheimerova nemoc * mozkomíšní mok   diagnostické zobrazování   epidemiologie   MeSH
• amyloidní beta-protein mozkomíšní mok   MeSH
• amyloidogenní proteiny MeSH
• amyloidóza * MeSH
• apolipoproteiny E genetika   MeSH
• biologické markery mozkomíšní mok   MeSH
• kognitivní dysfunkce * diagnostické zobrazování   epidemiologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• peptidové fragmenty mozkomíšní mok   MeSH
• pozitronová emisní tomografie MeSH
• prevalence MeSH
• proteiny tau mozkomíšní mok   MeSH
• průřezové studie MeSH
• senioři MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

Introduction: Therapeutic strategies targeting protein aggregations are ready for clinical trials in atypical parkinsonian disorders. Therefore, there is an urgent need for neuroimaging biomarkers to help with the early detection of neurodegenerative processes, the early differentiation of the underlying pathology, and the objective assessment of disease progression. However, there currently is not yet a consensus in the field on how to describe utility of biomarkers for clinical trials in atypical parkinsonian disorders. Methods: To promote standardized use of neuroimaging biomarkers for clinical trials, we aimed to develop a conceptual framework to characterize in more detail the kind of neuroimaging biomarkers needed in atypical parkinsonian disorders, identify the current challenges in ascribing utility of these biomarkers, and propose criteria for a system that may guide future studies. Results: As a consensus outcome, we describe the main challenges in ascribing utility of neuroimaging biomarkers in atypical parkinsonian disorders, and we propose a conceptual framework that includes a graded system for the description of utility of a specific neuroimaging measure. We included separate categories for the ability to accurately identify an intention-to-treat patient population early in the disease (Early), to accurately detect a specific underlying pathology (Specific), and the ability to monitor disease progression (Progression). Discussion: We suggest that the advancement of standardized neuroimaging in the field of atypical parkinsonian disorders will be furthered by a well-defined reference frame for the utility of biomarkers. The proposed utility system allows a detailed and graded description of the respective strengths of neuroimaging biomarkers in the currently most relevant areas of application in clinical trials.

• Publikační typ
• časopisecké články MeSH