Chronic central serous chorioretinopathy (cCSC) is characterized by extensive retinochoroidal abnormalities. This includes difuse retinal pigment epitheliopathy and serous retinal detachment associated with choroidal vasodilatation, ofen involving the macula and cause visual impairment. It was originally considered that it might evolve from acute CSC, but recent studies have shown significant clinical differences between the two. It tends to recur, be prolonged, and have an unfavorable prognosis. With the advent of new multimodal imaging (MMI) techniques such as optical coherence tomography angiography (OCTA), ultra-wide-feld imaging, and en face reconstruction imaging, along with the advancement of artificial intelligence and machine learning, more significant cCSC imaging characteristics have been constantly emerging. Tis article provides a comprehensive overview of cCSC’s imaging features across various modalities, including fundus photography, fundus autofluorescence (FAF), optical coherence tomography (OCT), fuorescein angiography (FFA), indocyanine green angiography, and OCTA. It also explores the application of artifcial intelligence in identifying CSC classifications and OCT biomarkers. Different imaging techniques have their own advantages in the diagnosis and study of cCSC, such as FAF being an efective means to assess disease progression and changes, OCT providing a more intuitive observation of retinal structural changes, FFA being an important tool for identifying leakage points, and OCTA possibly being the best means to assess choroidal microcirculation. Tese MMI research advancements ofer crucial insights for clinicians, aiding in more accurate diagnosis and efective treatment, thereby potentially improving patient outcomes and quality of life.
