Employing a hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI) model to assess predictive features of Alzheimer’s disease (AD), researchers noted a 100 percent sensitivity rate and a 93 percent sensitivity rate for distinguishing between AD and normal cognition, according to a study presented at the recent Society of Nuclear Medicine and Molecular Imaging (SNMMI) conference in Chicago.
Assessing predictive hippocampal radiomic features with a multimodal combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) may lead to earlier detection of Alzheimer’s disease (AD), according to new research presented at the recent Society of Nuclear Medicine and Molecular Imaging (SNMMI) conference in Chicago.
Noting key early predictive features for AD, ranging from glucose metabolism to decreased cerebral blood flow and hippocampal atrophy, researchers assessed a multiparametric imaging model for differentiating between AD, mild cognitive impairment (MCI) and normal cognition (NC) in 159 patients.1 The imaging model included the use of arterial spin-labeling (ASL) T1-weighted MRI and 18F-fluorodeoxyglucose PET (18F-FDG PET), according to the study.
With the fivefold cross-validation logistic regression model, the researchers found an area under the curve (AUC) of 98 percent as well as a 93 percent specificity rate and a 100 percent sensitivity rate for differentiating between AD and NC.1
For the differentiation of AD and MCI, the study authors noted an AUC of 85 percent, 88 percent sensitivity and 73 percent specificity. The multiparametric imaging model also demonstrated an AUC of 86 percent, 80 percent sensitivity and 81 percent specificity for differentiating between MCI and NC, according to the study.1
“Our findings demonstrate that multi-dimensional imaging of the hippocampal radiomics benefits the identification of early AD and may provide a potential biomarker for clinical applications in AD,” noted Jie Lu, M.D., who is affiliated with the Department of Radiology and Nuclear Medicine at Xuanwu Hospital and Capital Medical University in Beijing, China, and colleagues.
(Editor’s note: For related content, see “GE HealthCare Debuts New PET/MRI System at SNMMI Conference,” “FDA Clears AI-Powered MRI Software to Assess for Brain Atrophy” and “Brain PET Study Suggests Link Between Early Amyloid Accumulation and Repetitive Subconcussive Trauma.”)
Reference
1. Chen Z, Yan S, Bi S, Cui B, Yang H, Lu J. Early diagnosis of Alzheimer’s disease using multiparametric hippocampal signatures with 18F-FDG PET/MR radiomics. Poster presented at Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2023 Annual Meeting June 24-June 27, Chicago. Available at: https://am.snmmi.org/imis/SNMMI-AM . Accessed June 29, 2023.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
April 17th 2024The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Interventional Radiology Study Shows Low Breast Cancer Recurrence 16 Months After Cryoablation
March 29th 2024In a cohort of patients with invasive breast cancer and tumor sizes ranging between 0.3 to 9 cm, image-guided cryoablation was associated with a 10 percent recurrence rate at 16 months, according to research recently presented at the Society of Interventional Radiology (SIR) conference.
Emerging Insights on MRI-Guided Transurethral Ultrasound Ablation for Prostate Cancer
March 21st 2024For men with prostate cancer, the use of MRI-guided transurethral ultrasound ablation (TULSA) led to a 92 percent decrease in median prostate volume at one year, according to new research recently presented at Society of Interventional Radiology (SIR) conference.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
March 13th 2024The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
ECR Study Finds Mixed Results with AI on Breast Ultrasound
March 6th 2024While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.