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The LISA-PPV Formula: An Ensemble Artificial Intelligence-Based Thick Intraocular Lens Calculation Formula for Vitrectomized Eyes.
Zhang, Jiaqing; Jin, Aixia; Han, Xiaotong; Chen, Zhixin; Diao, Chunli; Zhang, Yu; Liu, Xinhua; Xu, Fan; Liu, Jiewei; Qiu, Xiaozhang; Tan, Xuhua; Luo, Lixia; Liu, Yizhi.
Affiliation
  • Zhang J; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Jin A; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Han X; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Chen Z; Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Affiliated Hospital of Jinan University (Z.C.), Shenzhen, China.
  • Diao C; Department Of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region and Institute of Ophthalmic Diseases, Guangxi Academy Of Medical Sciences (C.D.), Nanning, China; Department of Ophthalmology, The First Affiliated Hospital of Guangxi University of Chinese Medicine (C.D.), Nannin
  • Zhang Y; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Liu X; Shenzhen Key Laboratory of Ophthalmology, Shenzhen Eye Hospital, Affiliated Hospital of Jinan University (Z.C.), Shenzhen, China.
  • Xu F; Department Of Ophthalmology, The People's Hospital of Guangxi Zhuang Autonomous Region and Institute of Ophthalmic Diseases, Guangxi Academy Of Medical Sciences (C.D.), Nanning, China.
  • Liu J; Cataract Department, Shanxi Eye Hospital (Y.Z., J.L.), Taiyuan, China.
  • Qiu X; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Tan X; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Luo L; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
  • Liu Y; From the State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science (J.Z., A.J., X.H., Y.Z., X.Q., X.T., L.L., Y.L.), Guangzhou, China; Guangdong Provincial Clinical Research Center for Ocular Di
Am J Ophthalmol ; 262: 237-245, 2024 06.
Article in En | MEDLINE | ID: mdl-38452920
ABSTRACT

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/).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vitrectomy / Artificial Intelligence / Biometry / Phacoemulsification / Lens Implantation, Intraocular / Optics and Photonics / Lenses, Intraocular Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Am J Ophthalmol Year: 2024 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Vitrectomy / Artificial Intelligence / Biometry / Phacoemulsification / Lens Implantation, Intraocular / Optics and Photonics / Lenses, Intraocular Limits: Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: Am J Ophthalmol Year: 2024 Document type: Article