You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["AnatomicalEntity"].

Please return the output as a JSON object of the format: {"AnatomicalEntity": ["tumor cells", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

The right eye of a 50-year-old patient with severe hypertension at the first visit. (a) Fundus photograph shows serous retinal detachment. The optic disc is pale at the temporal side. (b) Optical coherence tomography (OCT) shows retinal detachment involving the fovea and cystic change of inner retina. (c) Early phase images of fluorescein angiography (FA) (left) and indocyanine green angiography (IA) (right). (d) Late phase images of FA (left) and IA (right). FA shows window defect associated with macular cystic change. Note that no active leakage is observed in the area with serous retinal detachment or cystoid edema. IA shows decreased perfusion of the choroid at the macula and window defect with the damaged RPE. Hypofluorescence (arrow) along the retinal artery are observed. These are unique findings.
{"AnatomicalEntity": ["area", "serous retinal", "macular", "right eye", "fovea", "inner retina", "RPE", "choroid", "cystoid edema", "retinal artery", "cystic", "macula", "retinal"]}