2022
DOI: 10.1002/cac2.12253
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Machine learning models for outcome prediction of Chinese uveal melanoma patients: A 15‐year follow‐up study

Abstract: Dear EditorUveal melanoma (UM) is the most frequent primary malignant intraocular tumor in adults with an estimated incidence of 4-5 per million per year in western countries [1]. About 50% of UM patients eventually develop metastasis. In a previous study, the prognosis of Chinese UM was mainly correlated with visual clinical features and gene sequencing results. Models designed to predict UM prognosis have been previously described [2], but these studies were based on Caucasians, not Chinese. Further, our pre… Show more

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Cited by 13 publications
(8 citation statements)
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“…In Bishop K D’s [ 33 ] review of SEER data, he reported a 5-year survival of 78.4% in 7069 ocular melanoma patients. Our team [ 11 ] reported a 5-year survival of 84.0% in a Chinese cohort in analysis of 1500 individuals. This is corroborated by, Han Yue et al [ 4 ]’s work, which revealed a 5-year all-cause mortality rate of 16% among Chinese patients.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In Bishop K D’s [ 33 ] review of SEER data, he reported a 5-year survival of 78.4% in 7069 ocular melanoma patients. Our team [ 11 ] reported a 5-year survival of 84.0% in a Chinese cohort in analysis of 1500 individuals. This is corroborated by, Han Yue et al [ 4 ]’s work, which revealed a 5-year all-cause mortality rate of 16% among Chinese patients.…”
Section: Discussionmentioning
confidence: 99%
“…Beijing Tongren Hospital was founded in 1886 and is one of the oldest and largest eye hospitals in China. We receive referrals of patients with UM from 32 provinces across China, which enabled us to accrue a large cohort of Asian UM patients [ 11 ]. Through collection of clinical samples and data including clinical information, tumor tissue and blood samples, we designed the Tongren-ophthalmology Research Association of Clinical Evaluation (TRACE), a database for the research of UM in China.…”
Section: Introductionmentioning
confidence: 99%
“…We previously applied machine learning technology to establish a model to predict whether a patient would die or metastasize within 2 years after initial treatment. This model achieved an overall accuracy of 77.0 and 75.0% with all features (77). Information extracted from B-ultrasound images was additionally applied to machine learning to provide personalized risk prediction.…”
Section: Discussionmentioning
confidence: 99%
“…We recorded demographic information (age, sex), eye and tumor features (best-corrected visual acuity, intraocular pressure, laterality, tumor size, shape, pigmentation, location, optic disc involvement, association with subretinal uid, intraocular hemorrhage, ciliary body involvement and pathological types). Whether or not to receive PRT depends on the characteristics of the tumor [4] and the patient's will. Otherwise, we recorded the time of tumor metastasis and death.…”
Section: Methodsmentioning
confidence: 99%
“…Studies have shown that nearly 50% of patients develop metastases, with liver involvement more common, and nearly 80% of patients die within one year after metastasis [3]. At present, the treatment of UM is mainly divided into enucleation and eye-preserving therapy, in which plaque brachytherapy, a kind of plaque radiotherapy (PRT) is the main treatment [4].…”
Section: Introductionmentioning
confidence: 99%