eprintid: 10043994 rev_number: 30 eprint_status: archive userid: 608 dir: disk0/10/04/39/94 datestamp: 2018-02-23 12:26:04 lastmod: 2021-10-25 22:42:07 status_changed: 2018-02-23 12:26:04 type: article metadata_visibility: show creators_name: Coric, D creators_name: Petzold, A creators_name: Uitdehaag, BMJ creators_name: Balk, LJ title: Software updates of OCT segmentation algorithms influence longitudinal assessment of retinal atrophy ispublished: pub subjects: MOOR subjects: UCH divisions: UCL divisions: B02 divisions: C07 divisions: D07 keywords: Multiple sclerosis, Optical coherence tomography, Retinal nerve fiber layer, Neuro-ophthalmology, Retinal layer segmentation, Bland-Altman analysis note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Objective: To investigate whether there is a systematic difference in peripapillary retinal nerve fiber layer (pRNFL) thickness measurements between subsequent updates of pRNFL segmentation software provided by Heidelberg Spectralis optical coherence tomography (OCT). Methods: In total, 838 pRNFL scans from 213 multiple sclerosis (MS) patients and 61 healthy controls were analyzed. All scans were performed on the same OCT device followed by automated segmentation (HRA 5.6.4.0) and data extraction. Subsequently, all scans were re-segmented with an updated software version (HRA 6.0.7.0). To assess level of agreement between the two algorithms, Bland-Altman Plots were constructed. Paired samples t-test and linear regression analyses were used to investigate for differences in mean thickness and proportional bias respectively. Results: Overall, the updated version showed an overestimation of 0.16 μm [95%CI 0.097–0.23, p < 0.001] for the global pRNFL thickness compared to the earlier version. The largest differences were found for the nasal inferior (mean ∆ 0.29 μm, p < 0.001) and temporal inferior (mean ∆ 0.43 μm, p < 0.001) sectors. Inspection of the Bland-Altman Plot revealed that the difference between the two versions could be up to 6 μm for the global mean. There was no proportional bias for the global mean (β = 0.003, p = 0.245) nor for any of the separate sectors. Conclusion: The data show a significant difference in pRNFL thickness measurements between two subsequent versions of the same segmentation software. Although the mean difference was relatively small, the differences within the individual subject could be considerably higher than the known atrophy rate of 1 μm/year in MS. date: 2018-02-03 date_type: published official_url: https://doi.org/10.1016/j.jns.2018.01.020 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green article_type_text: Journal Article verified: verified_manual elements_id: 1537869 doi: 10.1016/j.jns.2018.01.020 lyricists_name: Petzold, Axel lyricists_id: APETZ95 actors_name: Stacey, Thomas actors_id: TSSTA20 actors_role: owner full_text_status: public publication: Journal of the Neurological Sciences volume: 387 pagerange: 16-20 issn: 1878-5883 citation: Coric, D; Petzold, A; Uitdehaag, BMJ; Balk, LJ; (2018) Software updates of OCT segmentation algorithms influence longitudinal assessment of retinal atrophy. Journal of the Neurological Sciences , 387 pp. 16-20. 10.1016/j.jns.2018.01.020 <https://doi.org/10.1016/j.jns.2018.01.020>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10043994/1/Petzold%20Manuscript_rev_changes_in%20red_LB.pdf