The value of FDG-PET/CT by using 3-dimensional stereotactic surface projection software analysis in the differential diagnosis of dementia

India has been termed as Diabetic hub of the globe. Along with other complications, one of the underestimated complication is cognitive decline and memory loss associated with poor diabetes control. In the Indian context, structural imaging like MRI-Magnetic Resonance imaging is more commonly used in Neurological disorders such as stroke, head injury, Functional imaging of the human brain has been underutilized in the Indian scenario. One such technique is PET CT which has been typically used as a cancer biomarker in India. By virtue of current case study, we propose i) association between poor control of Diabetes and poor cognition ii) role of PET CT brain in differential diagnosis of Dementia. We present two case reports providing strong findings for utilization of PET CT brain in Dementia protocols.

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Multiparameter Analysis Using 18F-FDG PET/CT in the Differential Diagnosis of Pancreatic Cystic Neoplasms

Contrast Media & Molecular Imaging ◽

10.1155/2021/6658644 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Guanyun Wang ◽

Haodan Dang ◽

Peng Yu ◽

Honghong Liu ◽

Yue Wu ◽

...

Keyword(s):

Differential Diagnosis ◽

Fdg Pet ◽

Diagnostic Value ◽

Combined Model ◽

Cystic Neoplasms ◽

Diagnostic Efficacy ◽

Multiple Parameters ◽

Pet Ct ◽

18F Fdg ◽

Fdg Pet Ct

Purpose. To evaluate multiparametric analysis in differential diagnosis between pancreatic serous cystic neoplasms (SCNs) and mucinous cystic neoplasms (MCNs) as well as the differentiation of the benign and malignant MCNs with 18F-FDG (18-fluorodeoxyglucose) PET/CT (positron emission tomography). Methods. Forty patients with total of 41 lesions (SCNs: 27/41; MCNs: 14/41), who were preoperatively examined with 18F-FDG PET/CT, were retrospectively analyzed. Multiple quantitative parameters using conventional and texture features were included. The combined model was established with complementary PET/MR parameters. The differential diagnostic efficacy of each independent parameter and the combined model were evaluated with receiver operating characteristic (ROC) analysis. Integrated discriminatory improvement (IDI) and net reclassification improvement (NRI) were used to evaluate improvement of diagnostic efficacy by using combination of multiple parameters. Results. Among all independent parameters, the percentile 5th (0.88 ± 0.38 vs 0.47 ± 0.23, P < 0.001 ) showed the highest discriminative diagnostic value. The combination of multiple parameters can improve the differential diagnostic efficacy of SCNs and MCNs (sensitivity = 71.4%, specificity = 77.8%, and AUC = 0.788), and the addition of texture parameters to the conventional parameters allowed a significant reclassification with IDI = 0.236 (95% CI: 0.095–0.377) and categorical NRI = 0.434 (95% CI: 0.030–0.838). SURmax (tumor to normal pancreas ratio, T/P) and SURmax (tumor to aorta ratio, T/A) both showed the highest discriminative diagnostic value (sensitivity = 100.0%, specificity = 70.0%, AUC = 0.900, and Youden index = 0.700) in the differential diagnosis of benign and malignant MCNs, with the cutoff values of 0.84 and 0.90, respectively. Conclusion.Combination of multiple parameters using 18F-FDG PET/CT could further improve differentiation between pancreatic SCNs and MCNs. SURmax (T/P) and SURmax (T/A) could improve differential diagnosis of benign and malignant MCNs.

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