Adult vitelliform dystrophy: The accumulation of yellow material in the subfoveal space in adults is the hallmark of this condition, which can be easily confused with age related macular degeneration. Optical coherence tomography demonstrates the homogeneous isointense material between the retina and the pigment epithelium. This material has a bright signal on autofluorescence imaging, as seen in the images in this post. Although similar in appearance to Best’s disease, which occurs in younger patients, there is no clear genetic background and the electrooculogram is usually normal. Patients have a better visual prognosis than typical age related macular degeneration, although the vitelliform material can often reabsorb leaving a central area of foveal atrophy, with loss of central vision. — The issue that draws my attention when I see patients like the one in this post, is the constant struggle that we encounter in medicine between “splitters” and “lumpers” in clinical diagnosis. Too many patients are diagnosed as having macular degeneration when they have less common conditions. Similar things happen in every field of medicine. But beyond the academic discussion of correct specific diagnoses, we find ourselves simultaneously pushing Precision Medicine, based on individual patient characteristics that may impart different response to therapies, and Massive Lumping medicine (term I just concocted), where patients with related but different conditions are grouped together to attempt to achieve statistical -and financial- value for new medicines. Ultimately, we find ourselves with patients that present with findings that are not classic for any specific condition, and yet we are forced by the billing and coding machine to stamp them with one final diagnosis, even when we know that the most logical approach would be to avoid defining any specifics and allow time to hand us the clues that we need to reach that elusive diagnosis. The coding machine is impatient. #diagnosticmedicine #modernmedicine #ophthalmology #retina #eye #medicine https://www.instagram.com/p/B8wLRQ1hEIt/?igshid=19ytjezyt8aij