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Lavrova, Anna

0009-0001-7521-7082

Mayo Clinic

WinnMed

Citations 2

FDG-PET imaging to identify brain regions associated with Alzheimer's disease-related TDP-43 proteinopathy: A predictive model using penalized logistic regression analysis
Lavrova, Anna , Satoh, Ryota , Tosakulwong, Nirubol , Weigand, Stephen D. , Jack, Clifford R., Petersen, Ronald C., Reichard, R. Ross, Prudencio, Mercedes , Petrucelli, Leonard, Dickson, Dennis W., Lowe, Val, Whitwell, Jennifer L., Josephs, Keith A. , Lavrova, Anna , Josephs, Keith A , Prudencio, Mercedes , Satoh, Ryota , Jack, Clifford R. , Petersen, Ronald C. , Nguyen, Aivi T. , Reichard, R. Ross , Petrucelli, Leonard , Dickson, Dennis W. , Lowe, Val J. , Whitwell, Jennifer L.

Journal of Alzheimer’s Disease | March 13, 2026 | Volume: 110 | Issue: 3 | Pages: 1086-1098

10.1177/13872877261421241 Get It

Background TAR DNA-binding protein 43 (TDP-43) proteinopathy contributes to Alzheimer's disease progression, but diagnosis remains autopsy-dependent. Objective This study aimed to develop a predictive model using FDG-PET imaging to identify brain regions associated with TDP-43 pathology in vivo. Methods Penalized logistic regression analyzed data from 294 participants and a subset of 159 with Braak and Thal ≥4. Features included FDG standard uptake value ratios (SUVRs) from 123 brain regions and age. Participants were split into training (90%) and testing (10%) datasets, with significant predictors identified by non-zero coefficients at optimal lambda. Results The model achieved 68% accuracy (AUC = 0.70) in 294 participants, highlighting the middle temporal gyrus, parahippocampal gyrus, and hippocampus. In the subset (n = 159), accuracy was 65% (AUC = 0.71), with the medial amygdala and precentral gyrus as key predictors of TDP-43 pathology. Conclusions This study suggests a moderate predictive accuracy of FDG-PET to identify brain regions associated with Alzheimer's disease-related TDP-43 proteinopathy.
Investigating the feasibility of 18F‐flortaucipir PET imaging in the antemortem diagnosis of primary age‐related tauopathy (PART): An observational imaging‐pathological study
Lavrova, Anna , Satoh, Ryota , Pham, Nha Trang Thu, Nguyen, Aivi T. , Jack, Clifford R. , Petersen, Ronald C. , Ross, Reichard R., Lowe, Val J. , Whitwell, Jennifer L. , Josephs, Keith A. , Lavrova, Anna , Jack, Clifford R , Nguyen, Aivi T , Satoh, Ryota , Ross, Reichard R., Dickson, Dennis W.

Alzheimer's & Dementia | October 17, 2024 | Volume: 20 | Issue: 12 | Pages: 8605-8614

10.1002/alz.14301 Get It

AbstractINTRODUCTIONPrimary age‐related tauopathy (PART) is characterized by neurofibrillary tangles and minimal β‐amyloid deposition, diagnosed postmortem. This study investigates 18F‐flortaucipir (FTP) PET imaging for antemortem PART diagnosis.METHODSWe analyzed FTP PET scans from 50 autopsy‐confirmed PART and 13 control subjects. Temporal lobe uptake was assessed both qualitatively and quantitatively. Demographic and clinicopathological characteristics and voxel‐level uptake using SPM12 were compared between FTP‐positive and FTP‐negative cases. Intra‐reader reproducibility was evaluated with Krippendorff's alpha.RESULTSMinimal/mild and moderate FTP uptake was seen in 32% of PART cases and 62% of controls, primarily in the left inferior temporal lobe. No demographic or clinicopathological differences were found between FTP‐positive and FTP‐negative cases. High intra‐reader reproducibility (α = 0.83) was noted.DISCUSSIONFTP PET imaging did not show a specific uptake pattern for PART diagnosis, indicating that in vivo PART identification using FTP PET is challenging. Similar uptake in controls suggests non‐specific uptake in PART.Highlights 18F‐flortaucipir (FTP) PET scans were analyzed for diagnosing PART antemortem. 32% of PART cases had minimal/mild FTP uptake in the left inferior temporal lobe. Similar to PART FTP uptake was found in 62% of control subjects. No specific uptake pattern was found, challenging in vivo PART diagnosis.