{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T20:47:18Z","timestamp":1777582038549,"version":"3.51.4"},"reference-count":15,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T00:00:00Z","timestamp":1742169600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Ophthalmology"],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>A barrier to video consultation in oculoplastics is visualising pathology too small for video resolution. Patient self-generated photographs, which is well-documented in teledermatology but not in oculoplastics, may provide a solution.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To assess the quality and diagnostic accuracy of patient self-generated photographs of presumed benign eyelid pathology.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>300 patients with suspected benign lid lesions emailed self-captured photographs that were reviewed by two independent reviewers for quality, focussing, and lighting. The photographs were used in a virtual clinic alongside video consultation. Accuracy of virtual clinic diagnosis was measured by comparison to biopsy or in-person diagnosis where available.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      895 photographs were submitted. 84.5% of these were graded as excellent or adequate quality and there was no statistical difference in image quality based on patient age. Concordance between observers for quality of photographs, measured using Cohen's kappa, was k\u2009=\u20090.77 (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u2009&lt;0.01). Virtual clinic diagnosis was verified in 236 (78.7%) patients by biopsy or in-person review. Correct diagnosis was made in 80.5%. 99.1% of benign lesions were correctly identified as low-risk, 50% of pre-malignant lesions were identified as suspicious, and 100% of malignant lesions were correctly identified as cancerous.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Patients of all ages can provide adequate quality photographs that can aid video consultations for benign lid lesions. We still recommend in-person review where suspicious features are present, or photo quality is suboptimal.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/11206721251325276","type":"journal-article","created":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T11:39:01Z","timestamp":1742211541000},"page":"1803-1809","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Assessment of the quality and diagnostic accuracy of patient self-generated photographs used in oculoplastic virtual clinics"],"prefix":"10.1177","volume":"35","author":[{"given":"Gabriella","family":"Guevara","sequence":"first","affiliation":[{"name":"Adnexal Department at Moorfields Eye Hospital NHS Foundation Trust, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6122-1104","authenticated-orcid":false,"given":"Mumta","family":"Kanda","sequence":"additional","affiliation":[{"name":"Adnexal Department at Moorfields Eye Hospital NHS Foundation Trust, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hardeep","family":"Kandola","sequence":"additional","affiliation":[{"name":"Adnexal Department at Moorfields Eye Hospital NHS Foundation Trust, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laxmi","family":"Raja","sequence":"additional","affiliation":[{"name":"Adnexal Department at Moorfields Eye Hospital NHS Foundation Trust, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swan","family":"Kang","sequence":"additional","affiliation":[{"name":"Adnexal Department at Moorfields Eye Hospital NHS Foundation Trust, London, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,3,17]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1177\/1120672120965471"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41433-020-0953-6"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajo.2020.04.029"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2020-318696"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.14565"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1111\/ced.13928"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1111\/pde.12180"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamadermatol.2017.4280"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clindermatol.2020.12.011"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.1177\/0003489420938820"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamaoto.2020.5223"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.4103\/0301-4738.55078"},{"key":"e_1_3_3_14_2","unstructured":"Rana H Stokkermans TJ Purt B et al. Malignant Eyelid Lesions. [Updated 2023 Aug 14]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. 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