光子计数能谱CT更早、更清楚发现微小病灶 一张CT片子的进化（趣科普）

Core Insights - The new photon-counting spectral CT technology significantly enhances imaging resolution and diagnostic capabilities, allowing for better detection of small lesions and detailed analysis of tissue composition [1][3][4] - The radiation dose for patients has been reduced by 60% to 70%, with some examinations achieving up to a 90% reduction, improving patient safety while providing clearer information for doctors [1][4] - The technology has been successfully commercialized by the domestic company United Imaging Healthcare, which has received approval from the National Medical Products Administration [1][4] Technology Advancements - The photon-counting spectral CT utilizes semiconductor detectors to capture the energy of individual photons, enabling direct conversion of X-rays into electrical signals, which enhances imaging precision [4] - The technology features ultra-high resolution imaging with a pixel size of 0.2 mm, which is one-ninth of traditional CT pixel area, allowing for detailed visualization of complex structures such as the cochlea and cardiac vessels [1][4] Clinical Applications - The new CT technology is particularly effective in early detection of lung nodules, assessment of coronary artery calcification risks, and analysis of tumor characteristics, aiding in distinguishing between recurrence, metastasis, and benign growths [3][4] - It has been implemented in clinical testing at major hospitals, including Fudan University Zhongshan Hospital and Shanghai Jiao Tong University School of Medicine Ruijin Hospital, indicating its readiness for broader clinical use [1][2][4] Future Prospects - The collaboration among United Imaging Healthcare, Zhongshan Hospital, Ruijin Hospital, and other institutions under the National Key R&D Program aims to further develop and integrate photon-counting spectral CT into mainstream medical practice [4] - The ongoing research and clinical application of this technology are expected to lead to significant advancements in disease diagnosis and treatment, enhancing patient outcomes [4]