| Literature DB >> 35204334 |
Ramin Khoramnia1, Gerd Auffarth1, Grzegorz Łabuz1, George Pettit2, Rajaraman Suryakumar2.
Abstract
A post-operative manifest refractive error as close as possible to target is key when performing cataract surgery with intraocular lens (IOL) implantation, given that residual astigmatism and refractive errors negatively impact patients' vision and satisfaction. This review explores refractive outcomes prior to modern biometry; advances in biometry and its impact on patients' vision and refractive outcomes after cataract surgery; key factors that affect prediction accuracy; and residual refractive errors and the impact on visual outcomes. There are numerous pre-, intra-, and post-operative factors that can influence refractive outcomes after cataract surgery, leaving surgeons with a small "error budget" (i.e., the source and sum of all influencing factors). To mitigate these factors, precise measurement and correct application of ocular biometric data are required. With advances in optical biometry, prediction of patient post-operative refractory status has become more accurate, leading to an increased proportion of patients achieving their target refraction. Alongside improvements in biometry, advancements in microsurgical techniques, new IOL technologies, and enhancements to IOL power calculations have also positively impacted patients' refractory status after cataract surgery.Entities:
Keywords: biometry; cataract surgery; intraocular lenses; prediction accuracy; refractive outcomes; visual acuity
Year: 2022 PMID: 35204334 PMCID: PMC8870878 DOI: 10.3390/diagnostics12020243
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1Overview of ultrasound and optical biometry techniques [5,8,9,17,18,19]. 1 Only applicable to applanation biometry, corneal compression is not observed in immersion biometry.
Target refraction prediction errors across various studies.
| Study | Surgical Period | Data Source | N | Follow-Up Time | PE (%) | |||
|---|---|---|---|---|---|---|---|---|
| ≤±0.5 D | ≤±1.0 D | >1.0 D | ||||||
| Studies published prior to 2010 | Lundstrӧm et al., 2002 [ | 1992–2000 | Swedish National Cataract Register | 405,149 1 | - | - | 79.2 | 13–28% |
| Murphy et al., 2002 [ | 1996–1999 | Teaching hospital, England | 1676 2 | 3 weeks 3 | 44.6 | 72.3 | ||
| Kugelberg and Lundstrӧm, 2008 [ | 2000–2005 | Swedish National Cataract Register | 23,244 4 | - | 58.4 | 83.8 | ||
| Gale et al., 2009 [ | 2003–2006 | Single NHS center, England | 4806 5 | ~4 weeks | - | 79.7–87.0 | ||
| Studies published after 2010 | Hahn et al., 2011 [ | 2007–2008 | Seven private practices, Germany | 1553 1 | 3 months | 80.3 | 97.3 | 3–10% |
| Jivrajka et al., 2012 [ | 2010 | Single center, USA | 250 2,4 | 6–8 weeks | 61.2 | 89.6 | ||
| Aristodemou et al., 2011 [ | 2005–2010 | Single NHS center, England | 1867 4 | ≥4 weeks | 74.5 | 95.9 | ||
| Behndig et al., 2012 [ | 2008–2010 | Swedish National Cataract Register | 17,056 2 | 1–2 months | 71.4 | 92.7 | ||
D = diopter; NHS = National Health Service; PE = prediction error. 1 Number of interventions; 2 Number of eyes; 3 Or when all sutures removed and no further treatment planned; 4 Number of patients; 5 Number of datasets.
Figure 2Key biometric parameters involved in IOL power calculation [2,3,31,32,33,34,35]. ACD = anterior chamber depth; AL = axial length; IOL = intraocular lens; K = keratometry.