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Updated: Jun 24, 2025

Simplified Whole Body Plethysmography to Characterize Lung Function During Respiratory Melioidosis
Published on: February 24, 2023
A new computed tomography score-based staging for melioidosis pneumonia to predict progression
Yang Chen1, Dehuai He1, Yehua Wu2
1Department of West China Biomedical Big Data Center and Medical Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
Background:
Melioidosis pneumonia, caused by the bacterium Burkholderia pseudomallei, is a serious infectious disease prevalent in tropical regions. Chest computed tomography (CT) has emerged as a valuable tool for assessing the severity and progression of lung involvement in melioidosis pneumonia. However, there persists a need for the quantitative assessment of CT characteristics and staging methodologies to precisely anticipate disease progression. This study aimed to quantitatively extract CT features and evaluate a CT score-based staging system in predicting the progression of melioidosis pneumonia.
Methods:
This study included 97 patients with culture-confirmed melioidosis pneumonia who presented between January 2002 and December 2021. Lung segmentation and annotation of lesions (consolidation, nodules, and cavity) were used for feature extraction. The features, including the involved area, amount, and intensity, were extracted. The CT scores of the lesion features were defined by the feature importance weight and qualitative stage of melioidosis pneumonia. Gaussian process regression (GPR) was used to predict patients with severe or critical melioidosis pneumonia according to CT scores.
Results:
The melioidosis pneumonia stages included acute stage (0-7 days), subacute stage (8-28 days), and chronic stage (>28 days). In the acute stage, the CT scores of all patients ranged from 2.5 to 6.5. In the subacute stage, the CT scores for the severe and mild patients were 3.0-7.0 and 2.0-5.0, respectively. In the chronic stage, the CT score of the mild patients fluctuated approximately between 2.5 and 3.5 in a linear distribution. Consolidation was the most common type of lung lesion in those with melioidosis pneumonia. Between stages I and II, the percentage of severe scans with nodules dropped from 72.22% to 47.62% (P<0.05), and the percentage of severe scans with cavities significantly increased from 16.67% to 57.14% (P<0.05). The GPR optimization function yielded area under the receiver operating characteristic curves of 0.71 for stage I, 0.92 for stage II, and 0.87 for all stages.
Conclusions:
In patients with melioidosis pneumonia, it is reasonable to divide the period (the whole progression of melioidosis pneumonia) into three stages to determine the prognosis.
Insights
This study developed a CT score system to stage melioidosis pneumonia progression. The system accurately predicts disease severity and prognosis in patients with Burkholderia pseudomallei infection.
Area of Science:
- Radiology
- Infectious Diseases
- Medical Imaging Analysis
Background:
- Melioidosis pneumonia, caused by Burkholderia pseudomallei, is a significant tropical infectious disease.
- Chest CT is crucial for assessing lung involvement severity and progression.
- Quantitative CT assessment and staging are needed for precise prognosis prediction.
Purpose of the Study:
- To quantitatively extract CT features of melioidosis pneumonia.
- To evaluate a CT score-based staging system for predicting disease progression.
- To enhance prognostic accuracy in melioidosis pneumonia patients.
Main Methods:
- Included 97 patients with culture-confirmed melioidosis pneumonia.
- Utilized lung segmentation and lesion annotation (consolidation, nodules, cavities) for feature extraction.
- Employed Gaussian Process Regression (GPR) for predicting severe/critical melioidosis pneumonia based on CT scores.
Main Results:
- Developed a three-stage system (acute, subacute, chronic) with distinct CT score ranges.
- Consolidation was the most frequent lesion; nodules decreased, and cavities increased between stages I and II.
- GPR achieved high AUCs (0.71 for stage I, 0.92 for stage II, 0.87 overall) for predicting disease severity.
Conclusions:
- A three-stage system based on CT scores is effective for determining melioidosis pneumonia prognosis.
- Quantitative CT analysis aids in understanding disease progression and severity.
- The developed staging system offers a valuable tool for clinical management.
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