The LISA-PPV Formula : An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes
Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved..
PURPOSE: To investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV).
DESIGN: Cross-sectional study.
METHODS: A total of 2793 age-related cataract patients (group 1) and 915 post-PPV cataract patients (group 2) who underwent phacoemulsification with IOL implantation were included. The ELP of 2 groups was compared and the association between ELP and patient characteristics was further evaluated using standardized multivariate regression coefficients. An ensemble artificial intelligence-based ELP prediction model was developed using a training set of 810 vitrectomized eyes, and a thick-lens IOL formula (LISA-PPV) was constructed and compared with 7 existing formulas on an external multi-center testing set of 105 eyes.
RESULTS: Compared to eyes with age-related cataract, vitrectomized eyes showed a similar ELP distribution (P = .19), but different standardized coefficients of preoperative biometry for ELP. The standardized coefficients also varied with the type of vitreous tamponade, history of scleral buckling, and ciliary sulcus IOL implantation. The LISA-PPV formula showed the lowest mean and median absolute prediction error (MAE: 0.63 D; MedAE: 0.44 D), and the highest percentages of eyes within ±0.5 D of prediction error (57.14%) in the testing dataset.
CONCLUSIONS: The ELP prediction required optimization specifically for vitrectomized eyes based on their biometric and surgical characteristics. The LISA-PPV formula is a useful and accurate tool for determining IOL power in cataract patients with previous PPV (available at http://ppv-iolcalculator.com/).
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:262 |
|---|---|
| Enthalten in: |
American journal of ophthalmology - 262(2024) vom: 06. März, Seite 237-245 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhang, Jiaqing [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 11.04.2024 published: Print-Electronic Citation Status Publisher |
|---|
| doi: |
10.1016/j.ajo.2024.02.037 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM36942672X |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM36942672X | ||
| 003 | DE-627 | ||
| 005 | 20240412232937.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240308s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ajo.2024.02.037 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1373.xml |
| 035 | |a (DE-627)NLM36942672X | ||
| 035 | |a (NLM)38452920 | ||
| 035 | |a (PII)S0002-9394(24)00093-X | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhang, Jiaqing |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The LISA-PPV Formula |b An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 11.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a PURPOSE: To investigate the relationship between effective lens position (ELP) and patient characteristics, and to further develop a new intraocular lens (IOL) calculation formula for cataract patients with previous pars plana vitrectomy (PPV) | ||
| 520 | |a DESIGN: Cross-sectional study | ||
| 520 | |a METHODS: A total of 2793 age-related cataract patients (group 1) and 915 post-PPV cataract patients (group 2) who underwent phacoemulsification with IOL implantation were included. The ELP of 2 groups was compared and the association between ELP and patient characteristics was further evaluated using standardized multivariate regression coefficients. An ensemble artificial intelligence-based ELP prediction model was developed using a training set of 810 vitrectomized eyes, and a thick-lens IOL formula (LISA-PPV) was constructed and compared with 7 existing formulas on an external multi-center testing set of 105 eyes | ||
| 520 | |a RESULTS: Compared to eyes with age-related cataract, vitrectomized eyes showed a similar ELP distribution (P = .19), but different standardized coefficients of preoperative biometry for ELP. The standardized coefficients also varied with the type of vitreous tamponade, history of scleral buckling, and ciliary sulcus IOL implantation. The LISA-PPV formula showed the lowest mean and median absolute prediction error (MAE: 0.63 D; MedAE: 0.44 D), and the highest percentages of eyes within ±0.5 D of prediction error (57.14%) in the testing dataset | ||
| 520 | |a CONCLUSIONS: The ELP prediction required optimization specifically for vitrectomized eyes based on their biometric and surgical characteristics. The LISA-PPV formula is a useful and accurate tool for determining IOL power in cataract patients with previous PPV (available at http://ppv-iolcalculator.com/) | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Jin, Aixia |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Xiaotong |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zhixin |e verfasserin |4 aut | |
| 700 | 1 | |a Diao, Chunli |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Xinhua |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Fan |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Jiewei |e verfasserin |4 aut | |
| 700 | 1 | |a Qiu, Xiaozhang |e verfasserin |4 aut | |
| 700 | 1 | |a Tan, Xuhua |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Lixia |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yizhi |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t American journal of ophthalmology |d 1945 |g 262(2024) vom: 06. März, Seite 237-245 |w (DE-627)NLM000124443 |x 1879-1891 |7 nnns |
| 773 | 1 | 8 | |g volume:262 |g year:2024 |g day:06 |g month:03 |g pages:237-245 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.ajo.2024.02.037 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 262 |j 2024 |b 06 |c 03 |h 237-245 | ||