1.Clinical Performance Evaluation of an Artificial Intelligence‑Powered Amyloid Brain PET Quantification Method
Seung Kwan KANG ; Mina HEO ; Ji Yeon CHUNG ; Daewoon KIM ; Seong A. SHIN ; Hongyoon CHOI ; Ari CHUNG ; Jung‑Min HA ; Hoowon KIM ; Jae Sung LEE
Nuclear Medicine and Molecular Imaging 2024;58(4):246-254
Methods:
150 amyloid brain PET images were visually assessed by experts and categorized as negative and positive. Standardized uptake value ratio (SUVR) was calculated with cerebellum grey matter as the reference region, and receiver operating characteristic (ROC) and precision-recall (PR) analysis for BTXBrain-Amyloid were conducted. For comparison, same image processing and analysis was performed using Statistical Parametric Mapping (SPM) program. In addition, to evaluate the spatial normalization (SN) performance, mutual information (MI) between MRI template and spatially normalized PET images was calculated and SPM group analysis was conducted.
Results:
Both BTXBrain and SPM methods discriminated between negative and positive groups. However, BTXBrain exhibited lower SUVR standard deviation (0.06 and 0.21 for negative and positive, respectively) than SPM method (0.11 and 0.25). In ROC analysis, BTXBrain had an AUC of 0.979, compared to 0.959 for SPM, while PR curves showed an AUC of 0.983 for BTXBrain and 0.949 for SPM. At the optimal cut-off, the sensitivity and specificity were 0.983 and 0.921 for BTXBrain and 0.917 and 0.921 for SPM12, respectively. MI evaluation also favored BTXBrain (0.848 vs. 0.823), indicating improved SN. In SPM group analysis, BTXBrain exhibited higher sensitivity in detecting basal ganglia differences between negative and positive groups.
Conclusion
BTXBrain-Amyloid outperformed SPM in clinical performance evaluation, also demonstrating superior SN and improved detection of deep brain differences. These results suggest the potential of BTXBrain-Amyloid as a valuable tool for clinical amyloid PET image evaluation.
2.Production of specific antibodies against SARS-coronavirus nucleocapsid protein without cross reactivity with human coronaviruses 229E and OC43.
Hyun Kyoung LEE ; Byoung Hee LEE ; Seung Hyeok SEOK ; Min Won BAEK ; Hui Young LEE ; Dong Jae KIM ; Yi Rang NA ; Kyoung Jin NOH ; Sung Hoon PARK ; Dutta Noton KUMAR ; Hiroaki KARIWA ; Mina NAKAUCHI ; Suk Jin HEO ; Jae Hak PARK
Journal of Veterinary Science 2010;11(2):165-167
Severe acute respiratory syndrome (SARS) is a life-threatening disease for which accurate diagnosis is essential. Although many tools have been developed for the diagnosis of SARS, false-positive reactions in negative sera may occur because of cross-reactivity with other coronaviruses. We have raised polyclonal and monoclonal antibodies (Abs) using a recombinant form of the SARS virus nucleocapsid protein. Cross-reactivity of these anti-SARS Abs against human coronavirus (HCoV) 229E and HCoV OC43 were determined by Western blotting. The Abs produced reacted with recombinant SARS virus nucleocapsid protein, but not with HCoV 229E or HCoV OC43.
Antibodies, Viral/*immunology
;
Blotting, Western
;
Coronavirus 229E, Human/*immunology
;
Coronavirus OC43, Human/*immunology
;
Cross Reactions
;
Humans
;
Nucleocapsid Proteins/genetics/*immunology
;
Recombinant Proteins/immunology
;
SARS Virus/genetics/*immunology
;
Severe Acute Respiratory Syndrome/diagnosis/*immunology