Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy
Purpose: To evaluate the early predictors for achieving full myopia control with repeated low-level red light (RLRL) therapy based on two independent randomized clinical trials (RCTs). Methods: Myopic children undergoing RLRL therapy from a multi-center RCT (training set) and a single-center RCT (va...
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| Format: | Article |
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Elsevier
2025-08-01
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| Series: | Photodiagnosis and Photodynamic Therapy |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1572100025002042 |
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| author | Yanxian Chen Mingge Li Xianwen Shang Guangyu Li Ziwei Zhao Pengju Li Yanjun Liu Ruilin Xiong Mengying Lai Yueye Wang Mingguang He Zhuoting Zhu |
| author_facet | Yanxian Chen Mingge Li Xianwen Shang Guangyu Li Ziwei Zhao Pengju Li Yanjun Liu Ruilin Xiong Mengying Lai Yueye Wang Mingguang He Zhuoting Zhu |
| author_sort | Yanxian Chen |
| collection | DOAJ |
| description | Purpose: To evaluate the early predictors for achieving full myopia control with repeated low-level red light (RLRL) therapy based on two independent randomized clinical trials (RCTs). Methods: Myopic children undergoing RLRL therapy from a multi-center RCT (training set) and a single-center RCT (validation set) were included. Full myopia control was defined as axial elongation <0.1mm/year. Variables included age, sex, baseline refraction, ocular parameters at baseline, 1 and 3 months (axial length [AL] and subfoveal choroidal thickness [sChT]), as well as their rates of change over the first 3 months. Four random forest models to predict full myopia control after 1 year and a logistic regression was used to estimate 2-year outcome. Results: A total of 148 children were analyzed. The proportions of 1-year full myopia control was 54.2 % of eyes in the training set and 55.0 % in the validation set. Random forest models incorporating the rate of change in AL and sChT showed high predictive accuracy (AUC: 0.97 to 0.98) in external validation. The rate of change in AL contributed the most for model accuracy. For 2-year control, the rate of AL change had an AUC of 0.99 while the rate of change in sChT achieved only 0.69. Conclusions: The rate of change in AL during the first three months emerged as the most important predictor for treatment outcomes at both 1-year and 2-year, rather than the change in sChT. Early monitoring of AL changes could be a valuable tool for identifying children most likely to benefit from this intervention. |
| format | Article |
| id | doaj-art-cf38390cced44523beec36a31ba1fa47 |
| institution | Kabale University |
| issn | 1572-1000 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photodiagnosis and Photodynamic Therapy |
| spelling | doaj-art-cf38390cced44523beec36a31ba1fa472025-08-20T04:00:40ZengElsevierPhotodiagnosis and Photodynamic Therapy1572-10002025-08-015410467210.1016/j.pdpdt.2025.104672Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapyYanxian Chen0Mingge Li1Xianwen Shang2Guangyu Li3Ziwei Zhao4Pengju Li5Yanjun Liu6Ruilin Xiong7Mengying Lai8Yueye Wang9Mingguang He10Zhuoting Zhu11School of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong KongDepartment of Ophthalmology, Shenzhen Nanshan People’s Hospital, Shenzhen, ChinaSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong KongState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, ChinaSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong KongSchool of Optometry, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic University, Kowloon, Hong Kong; Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Hong Kong; Corresponding authors at: Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, China.Centre for Eye Research Australia, Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia; Corresponding authors at: Centre for Eye Research Australia, Department of Surgery, University of Melbourne, Melbourne, Australia.Purpose: To evaluate the early predictors for achieving full myopia control with repeated low-level red light (RLRL) therapy based on two independent randomized clinical trials (RCTs). Methods: Myopic children undergoing RLRL therapy from a multi-center RCT (training set) and a single-center RCT (validation set) were included. Full myopia control was defined as axial elongation <0.1mm/year. Variables included age, sex, baseline refraction, ocular parameters at baseline, 1 and 3 months (axial length [AL] and subfoveal choroidal thickness [sChT]), as well as their rates of change over the first 3 months. Four random forest models to predict full myopia control after 1 year and a logistic regression was used to estimate 2-year outcome. Results: A total of 148 children were analyzed. The proportions of 1-year full myopia control was 54.2 % of eyes in the training set and 55.0 % in the validation set. Random forest models incorporating the rate of change in AL and sChT showed high predictive accuracy (AUC: 0.97 to 0.98) in external validation. The rate of change in AL contributed the most for model accuracy. For 2-year control, the rate of AL change had an AUC of 0.99 while the rate of change in sChT achieved only 0.69. Conclusions: The rate of change in AL during the first three months emerged as the most important predictor for treatment outcomes at both 1-year and 2-year, rather than the change in sChT. Early monitoring of AL changes could be a valuable tool for identifying children most likely to benefit from this intervention.http://www.sciencedirect.com/science/article/pii/S1572100025002042Myopia controlPredictionRed lightChoroidal thicknessAxial lengthLow level light |
| spellingShingle | Yanxian Chen Mingge Li Xianwen Shang Guangyu Li Ziwei Zhao Pengju Li Yanjun Liu Ruilin Xiong Mengying Lai Yueye Wang Mingguang He Zhuoting Zhu Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy Photodiagnosis and Photodynamic Therapy Myopia control Prediction Red light Choroidal thickness Axial length Low level light |
| title | Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy |
| title_full | Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy |
| title_fullStr | Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy |
| title_full_unstemmed | Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy |
| title_short | Early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low-level red light therapy |
| title_sort | early changes in choroidal thickness and ocular biometry in predicting who will achieve full myopia control with repeated low level red light therapy |
| topic | Myopia control Prediction Red light Choroidal thickness Axial length Low level light |
| url | http://www.sciencedirect.com/science/article/pii/S1572100025002042 |
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