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Semi-quantitative assessment optimized the grading of pulmonary aspiration on salivagram in children
Fuqiang Shao1, Xiaofei Zhao2,3, Hiroshi Toyama3
1Department of Nuclear Medicine, Zigong First People's Hospital, Zigong, Sichuan, 643000, People's Republic of China.
Insights
A new semi-quantitative method optimizes pulmonary aspiration classification on salivagram in children. This approach enhances diagnostic accuracy by analyzing the aspiration index, improving detection of aspiration severity.
Area of Science:
- Pediatric Imaging
- Nuclear Medicine
- Respiratory Medicine
Background:
- Pulmonary aspiration in children poses diagnostic challenges.
- Salivagram is an established imaging technique for detecting aspiration.
- Current classification methods require optimization for improved accuracy.
Purpose of the Study:
- To optimize the classification of pulmonary aspiration detected by salivagram.
- To introduce a semi-quantitative analytical method for salivagram interpretation.
- To enhance the diagnostic utility of salivagram in pediatric patients.
Main Methods:
- Retrospective analysis of 737 children with suspected pulmonary aspiration undergoing salivagram.
- Classification of positive cases into 10 scintigraphic grades.
- Calculation of aspiration index (respiratory tract count/total count) and ROC curve analysis.
Main Results:
- 180 cases (24.4%) showed positive aspiration findings.
- High inter-physician consistency in grading (κ=0.919) and aspiration index (ICC=0.994).
- Statistically significant differences in aspiration index across mild (4.40±2.01), moderate (16.43±8.20), and severe (46.94±14.81) groups (p<0.0001).
- High AUC values (0.970 for mild/moderate, 0.943 for moderate/severe) with optimal cut-off values identified.
Conclusions:
- A semi-quantitative analytical method was successfully introduced for salivagram.
- This method optimizes and supplements the current classification of pulmonary aspiration.
- The validated aspiration index provides objective measures for grading aspiration severity.
Objective:
Salivagram is one of the imaging modalities to detect pulmonary aspiration in children. This study aims to optimize the classification of pulmonary aspiration detected by salivagram with a semi-quantitative analytical method.
Methods:
This is a retrospective study involving 737 patients (471 males, 266 females; aged 1 month to 8 years; mean age 5.3 months, median age 3.0 months old) with suspected pulmonary aspiration, who had salivagram done between January 2018 and June 2019. Positive cases were divided into 10 groups (Grade 1, R2, L2, R2L2, R3, L3, R3L2, R2L3, R3L3, and 4) according to the scintigraphic findings. Aspiration index was determined as the ratio of the count in the respiratory tract to the total count in the image field of view and compared among different groups using the receiver operating characteristics (ROC) curve analysis.
Results:
A total of 180 cases had positive scintigraphic findings of various grades of aspiration (24.4%, 180/737). There is a high consistency among the two independent nuclear medicine physicians involved in the study, in determining both the disease gradings (κ = 0.919;95% CI: 0.915-0.923) and aspiration index (ICC = 0.994;95% CI: 0.993-0.996). There is no significant difference (p > 0.05) in aspiration index among the gradings in "mild" group (grade 1, R2, L2, L2R2), and "moderate" group (grade R3, R3L2, R3L3). After dividing the different grades into "mild", "moderate" and "severe" groups, the aspiration index of "mild" group is 4.40 ± 2.01, that of "moderate" group is 16.43 ± 8.20, and that of "severe" group is 46.94 ± 14.81. Difference in groups was statistically significant (p < 0.0001). In ROC curve analysis, AUC of "mild" and "moderate" groups is 0.970 and that of "moderate" and "severe" groups is 0.943; the cut-off value with highest diagnostic efficiency is 6.75 between "mild" and "moderate" groups and 38.00 between "moderate" and "severe" groups.
Conclusions:
We introduced a semi-quantitative analytical method in pulmonary aspiration on salivagram, to optimize and supplement to the current classification of pulmonary aspiration.
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