{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T16:09:50Z","timestamp":1792858190730,"version":"4.5.0"},"reference-count":34,"publisher":"BMJ","issue":"8","license":[{"start":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:00:00Z","timestamp":1768521600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006483","name":"AbbVie","doi-asserted-by":"publisher","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}],"id":[{"id":"10.13039\/100006483","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Br J Ophthalmol"],"accepted":{"date-parts":[[2025,12,20]]},"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To explore associations between artificial intelligence (AI)-based baseline optical coherence tomography (OCT) fluid compartment quantifications and 12-month visual outcomes in diabetic macular oedema (DME) eyes treated with the intravitreal dexamethasone implant.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was a multicentre, real-world, national DME database and associated OCT dataset study. Demographics, visual acuity (VA), treatments and visit data were collected using a validated web-based tool (Fight Retinal Blindness). Fluid compartment quantifications, including intraretinal fluid (IRF) and subretinal fluid (SRF), were measured in nanolitres (nL) using a validated AI tool (Discovery). Univariate and multivariate regression mixed models evaluated associations between anatomical variables and VA outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 101 treatment-na\u00efve DME eyes were grouped into quartiles according to their fluid volume for each fluid compartment (Q1: lowest volume, Q4: highest volume). Baseline IRF was associated with greater VA gains at month 12 (+6.34 letters, p=0.07) but poorer final VA (\u22128.95, p=0.07), while SRF was associated with worse final VA at 12 months (\u221212.5, p=0.01). At month 3, IRF was associated with a VA decrease at 12 months (\u221213.7, p=0.02) and lower final VA (\u221229.8, p&lt;0.001). At month 12, IRF was associated with lower final VA (\u221211.6, p=0.03). Quantitatively, a reduction of 100\u2009nL of IRF at 3 months was associated with a +1.54 letters gain (p=0.03) in the multivariate analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This real-world, multicentre study describes objective baseline fluid volumes that predict visual outcomes at 12 months in routine clinical care. Accurate quantification of baseline fluid volumes may play a predictive role for final visual outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bjo-2025-328172","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T18:20:27Z","timestamp":1768587627000},"page":"892-898","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":2,"title":["Artificial intelligence-based fluid quantification predicts clinical outcomes in diabetic macular oedema eyes treated with intravitreal dexamethasone implants: DIADEMA project"],"prefix":"10.1136","volume":"110","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4861-9502","authenticated-orcid":false,"given":"Francesc","family":"Franquesa-Garcia","sequence":"first","affiliation":[{"name":"Hospital Clinic de Barcelona, Barcelona, Spain"},{"name":"Universitat de Barcelona Facultat de Medicina i Ciencies de la Salut, Barcelona, 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