Peripapillary intrachoroidal cavitation (PICC) is a common pathological change observed in high myopia. The exact pathogenesis of PICC is still unclear. Expansion and mechanical stretching of the peripapillary sclera, breakage and defect in the retina near the border of the myopic conus and communication between intrachoroidal cavity and the vitreous space may be important segments during the development of PICC. Color fundus photography shows a localized and well-circumscribed peripapillary lesion with yellow-orange colour, often accompanied by fundus changes, such as myopic conus excavation, optic disc tilting and inferotemporal retinal vein bending at the transition from the PICC to the myopic conus. However, the PICC lesion is not easy to be recognized in the fundus photography. Fluorescein angiography shows early hypofluorescence and later progressively staining in the lesion. Indocyanine green angiography shows hypofluorescence throughout the examination. Optical coherence tomography (OCT) is vital in diagnosing PICC. Hyporeflective cavities inside the choroid, sometimes communicating with the vitreous chamber, can be observed in OCT images. OCT angiography indicates lower vessel density or even absence of choriocapillary network inside or around PICC lesions.
Polypoidal choroidal vasculopathy (PCV) is a fundus disease characterized by choroidal anomalous branch vascular network and terminal polypoidal dilatation. According to its fundus feature, lesion location, imaging feature and disease progression, PCV can be divided into different types or stages. It can be divided into hemorrhage and exudation PCV according to the fundus features, into macular, peripapillary, periphery and mixed types according to the lesion locations. It can also be divided into type 1 and 2 according to the ICGA (indocyanine green angiography) manifestations, and can be classified as early stage and late stage according to disease progression. There were different correlations between different types of PCV and some risk genetic loci, such as ARMS2 (age-related macular degeneration factor 2)/ HTRA1 (high temperature essential protein A1) , C2, complement factor B, complement factor H, and elastin genes. The response to therapy and prognosis are also different between different types. It is important to further study the clinical classification of PCV, to explore the genetic characteristics, influencing factors and treatment or prognosis features of different types of PCV. The results will improve the differential diagnosis of PCV, and the effectiveness of individualized treatment.
Purpose To observe the features of the hyperfluorascent areas in the posterior ocular fundus detected by indocyanine green angiography(ICGA) in healthy volunteers, and to study circulatory properties of choroid. Methods Routine ICGA was performed on each of fifty consecutive normal eyes. Results ⑴Hyper fluorescence began at an average time of (30.80plusmn;5.42) seconds. ⑵The patterns of the hyperfluorescence revealed themselves in doubling areas divided symmetrically by the relatively hypoer fluorescence blelt running horizontally across the fovea in 29 eyes(58%), and single area in 21 eyes(42%).⑶The average area of the hyper fluorescence was (57.27plusmn;14.08)mm2.⑷ The sustaining time of the hyper fluorescence was (172.44plusmn;59.70) seconds at average. Conclusion During ICGA, a very patchy filling pattern of hyper fluorescence was visible in posterior fundus in normal eyes, and its filling time and shape presented choroidal blood supply and circulation. These parameters would offer consulted bases for clinical diagnosis of the choroidal diseases. (Chin J Ocul Fundus Dis,1999,15:1-3)
Objective To observe the prognosis of visual acuity (VA) of patients with different classification of polypoidal choroidal vasculopathy (PCV). Methods Sixty-seven PCV patients (68 eyes) diagnosed by fundus photography, fundus fluorescein angiography, indocyanine green angiography (ICGA) and ocular coherence tomography were enrolled in this retrospective study. The patients were classified into static, exudative, small hemorrhage and large hemorrhage according to activity and pathological characteristics of lesions. The patients were classified into aciniform, single or several single, combined branching choroidal vascular network (BVN) according to morphological characteristics and combination with BVN of lesions on ICGA. The patients also were classified into macular, vascular arcade, peripapillary and mixing zone according to distribution of lesions. The VA of all the types were observed. Results There were 16, 19, 19, 14 eyes in the type of static, exudative, small hemorrhage and large hemorrhage PCV, which with logMAR VA of 0.34plusmn;0.52, 0.70plusmn;0.98, 0.60plusmn;0.50, 0.91plusmn;0.75 respectively. The VA of static PCV patients was better than that in exudative, small hemorrhage and large hemorrhage PCV patients (q=4.75, 4.26, 5.13; P＜0.05). There was no significant difference of VA between exudative and small hemorrhage PCV patients (q=0.98, P＞0.05). There were 22, 38 and eight eyes in the type of aciniform, single or several single, combined BVN PCV, which with logMAR VA of 0.52plusmn;0.55, 0.59plusmn;0.43, 0.80plusmn;0.95 respectively. The VA of combined BVN PCV patients was worse than that in aciniform and single or several single PCV patients (q=3.81, 3.02;P＜0.05). There were 34, 13, 8 and 13 eyes in the type of macular, vascular arcade, peripapillary and mixing zone PCV, which with logMAR VA of 0.78plusmn;0.43, 0.57plusmn;0.37, 0.38plusmn;0.27, 0.74plusmn;0.41 respectively. The VA of macular PCV patients was less than that in vascular arcade and peripapillary PCV patients (q=4.61,5.11;P＜0.05). There was no significant difference of VA between macula and mixing zone PCV patients (q=0.73,P＞0.05). Conclusions The VA of PCV patients is variable.It is related to activity and pathological characteristics of lesions, morphological characteristics and combination with BVN of lesions on ICGA, and distribution of lesions.
Objective To cpmpare the assessment of retinal and choroidal disease using confocal scanning laser ophthalmoscope (cSLO) imaging and color fundus camera. Methods Sixty-seven patients (90 eyes) with fundus diseases were included in this study. There were 35 males (51 eyes) and 32 female (39 eyes), mean age was 51.32 years. All subjects underwent fundus imaging using cSLO technology and traditional color fundus camera, positive numbers of every retinal pathological change were calculated and compared. Spectral domain-optical coherence tomography (SD-OCT) was also done to compare the accordance rate between two modes of fundus imaging (cSLO technology and traditional color fundus camera) and SD-OCT in choroidal changes. Results The positive numbers of retinal microaneurysm (χ2=4.157, P < 0.05) and epiretinal membrane (χ2=5.428, P < 0.05) using cSLO fundus imaging were significantly higher than traditional color fundus camera, while the positive numbers of cotton wool spots (χ2=0.523), retinal hemorrhage (χ2=0.117), hard exudates (χ2=0.325) and macular hole (χ2=0.070) were no significant different (P > 0.05). The SD-OCT accordance rate of choroidal pathological changes using cSLO technology was higher than traditional color fundus camera (χ2=9.143, P=0.007). Conclusion In retinal and choroidal diseases, the imaging quality of cSLO fundus imaging technology is better than the traditional color fundus camera technology.