Synthetic PET From CT Improves Precision Diagnosis and Treatment of Lung Cancer: a Prospective, Observational, Multicenter Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 10,000
- 试验地点
- 5
- 主要终点
- Structural similarity
研究概览
简要总结
This study aims to synthesise PET data that preserves biological relevance and adds clinical value to the diagnosis and prognosis of lung cancer by establishing anatomical-to-metabolic mapping based on paired diagnostic CT and FDG-PET scans, thereby prospectively validating the clinical utility of the model.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with non-small cell lung cancer scheduled to undergo PET-CT and pathological examinations;
- •Voluntarily participate and sign an informed consent form;
排除标准
- •History of other malignant tumours;
- •Image artefacts;
- •Without pathological diagnostic information;
- •Without paired CT and FDG-PET scan images.
结局指标
主要结局
Structural similarity
时间窗: 2025.12.1-2026.12.1
This is a core outcome measure evaluating the degree of resemblance between the structural characteristics of synthetic PET images and reference PET images. It reflects whether the synthetic PET retains the key structural information of the original image, which is a fundamental indicator for confirming the structural relevance of synthetic PET.
Peak Signal-to-Noise Ratio (PSNR)
时间窗: 2025.12.1-2026.12.1
A commonly used objective evaluation index in image quality assessment, calculated based on the mean square error between the synthetic PET image and the reference image. It quantifies the ratio of the maximum possible signal value in the image to the noise power that affects image quality. Higher PSNR values indicate that the synthetic PET image has less noise interference and better consistency with the reference image in terms of signal characteristics, thereby reflecting better retention of structural information.
Structural Similarity Index (SSIM)
时间窗: 2025.12.1-2026.12.1
An index designed to simulate human visual perception to evaluate image structural similarity, which comprehensively considers three aspects: brightness, contrast, and structural consistency between the synthetic PET image and the reference image. The value range is between 0 and 1; a value closer to 1 means that the synthetic PET image has a higher degree of structural consistency with the reference image, indicating that the structural relevance is well retained.
Metabolic Parameter Consistency
时间窗: 2025.12.1-2026.12.1
A key outcome measure for verifying the biological relevance of synthetic PET, which evaluates whether the metabolic characteristic parameters derived from synthetic PET are consistent with those from reference PET. Metabolic parameters are directly related to the biological functions of tissues/organs, so their consistency is crucial to ensuring that synthetic PET can be used for accurate biological activity assessment.
次要结局
- predictive performance(2025.12.1-2026.12.1)
研究者
Chang Chen
Chief Physician
Shanghai Pulmonary Hospital, Shanghai, China