双层探测器光谱CT在肺癌精准诊疗中的研究进展OA

Early diagnosis,precise pathological classification,and treatment response assessment of lung cancer are crucial for improving patient prognosis.Dual-layer spectral computed tomography(DLCT),a new-generation spectral CT technique,can simultaneously acquire high-and low-energy data in a single scan and generate multiple quantitative parameters,including iodine concentration,effective atomic number,virtual monoenergetic images,electron density,and slope of the spectral Hounsfield unit curve.These parameters provide a new quantitative imaging approach for the noninvasive assessment of lung cancer.This review introduces the basic imaging principles and technical advantages of DLCT,and focuses on recent advances in its multiparametric applications to early screening for lung cancer,differentiation of benign and malignant pulmonary nodules,pathological classification,lymph node metastasis assessment,treatment response monitoring,radiotherapy planning optimization,and prognosis prediction.Furthermore,the current limitations and future directions are also discussed.