A proposed scoring system for facial port‐wine stain evaluation: Facial port‐wine stain area and severity index

Ren, Jie; Tuan, Hsiaohan; Huang, Chenyu; Shen, Dan; Chen, Dian; Zhou, Eray Yihui; Liu, Dehua; Tu, Ping; Zhao, Yi

doi:10.1111/jocd.14574

Cited by 4 publications

(2 citation statements)

References 27 publications

(43 reference statements)

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“…algorithms are more economical than the abovementioned technologies and have practical application significance. However, in current research [11,12,13], when conducting color difference comparisons, doctors usually manually select random areas; therefore, it is difficult to ensure comprehensive objectivity of evaluation results.…”

Section: Evaluation Methods Based On Ordinary Cameras and Image Color...mentioning

confidence: 99%

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An automatic evaluation system for Treatment Effects on Port-wine Stains based mapping algorithm and deep learning

Li,

Peng,

Wang

et al. 2023

Preprint

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Objectives A port-wine stain (PWS) is a common type of capillary malformation that often occurs on the head and neck, seriously affecting patients' appearance. Currently, laser phototherapy devices are mainly used to treat PWS. The accuracy of lesion efficacy evaluation results affects the rational selection of treatment plans. In clinical practice, visual assessment methods are commonly used to judge the efficacy of this disease by estimating the degree of improvement in lesions, which is highly subjective and difficult to quantify. To achieve convenient and accurate efficacy evaluation, many image-based evaluation schemes have been proposed. However, these schemes usually require doctors to manually select random areas for color comparison, making it difficult to ensure comprehensiveness and objectivity when evaluating results. To address existing problems in previous studies, we propose an automatic method for evaluating PWS treatment effects. Methods By implementing steps such as image correction, lesion area segmentation, and image mapping, color difference comparisons based on all lesion areas and all normal skin color areas can be achieved to realize more objective and accurate treatment evaluations. Results We verify the proposed method through consistency experiments. In the experiments, the highest consistency between our proposed method and the findings of three professional doctors reached 88.89%, which was higher than their highest consistency rate of 85.19%. Conclusions The experimental results show that this method can significantly improve both efficiency and accuracy in evaluating the effects of PWS treatment.

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Section: Evaluation Methods Based On Ordinary Cameras and Image Color...mentioning

confidence: 99%

“…also selected lesion areas manually using symmetric regions as reference points for evaluating recovery levels. Ren J et al [13]. evaluated the severity of facial port-wine stains (FPWS) by using three indicators: percentage of affected area, color and lesion thickness.…”

Section: Introduction 11 Research Background and Significancementioning

confidence: 99%