Department of Radiation Oncology, Veterans Health Service Medical Center, Seoul, Republic of Korea.
Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
PLoS One. 2022 Mar 9;17(3):e0264925. doi: 10.1371/journal.pone.0264925. eCollection 2022.
We analyzed skin images with various color space models to objectively assess radiodermatitis severity in patients receiving whole-breast radiotherapy.
Twenty female patients diagnosed with breast cancer were enrolled prospectively. All patients received whole-breast radiotherapy without boost irradiation. Skin images for both irradiated and unirradiated breasts were recorded in red-green-blue (RGB) color space using a mobile skin analysis device. For longitudinal analysis, the images were acquired before radiotherapy (RTbefore), approximately 7 days after the first fraction of radiotherapy (RT7days), RT14days, and approximately 10 days after radiotherapy completion (RTafter). Four color space models (RGB, hue-saturation-value (HSV), Lab*, and YCbCr models) were employed to calculate twelve color space parameters for each skin image. Skin dose measurements for irradiated breasts were performed using nanoDot optically stimulated luminescent dosimeters on the first fraction of radiotherapy. Subsequently, acute radiation dermatitis in each patient was assessed according to the Radiation Therapy Oncology Group scoring criteria at both RT14days and RTafter. Finally, several statistical analysis methods were applied to investigate the performance of the color space parameters to objectively assess the radiodermatitis.
Owing to radiation-induced skin damage, R value of RGB model as well as S and V values of the HSV model for irradiated breasts increased significantly, while those for unirradiated breasts showed smaller increases. These parameters showed the longitudinal changes in color space parameters within each group and between groups over time with statistical significance. Strong correlations of the parameters for irradiated breasts at RT7days with skin doses and those at RTafter were observed with statistical significance.
The R value of RGB model as well as the S and V values of HSV model showed relatively better performance in evaluating the acute radiation dermatitis. These color space parameters could therefore serve as useful tools to assess radiodermatitis severity in a dose-dependent manner.
我们分析了不同颜色空间模型的皮肤图像,以客观评估接受全乳放疗的患者放射性皮炎的严重程度。
前瞻性纳入 20 名女性乳腺癌患者。所有患者均接受无局部加量照射的全乳放疗。使用移动皮肤分析设备,在红-绿-蓝(RGB)颜色空间中记录照射和未照射乳房的皮肤图像。为了进行纵向分析,在放疗前(RTbefore)、放疗第 1 次后约 7 天(RT7days)、放疗第 14 天(RT14days)和放疗结束后约 10 天(RTafter)采集图像。对每个皮肤图像,采用 4 种颜色空间模型(RGB、色调-饱和度-值(HSV)、Lab*和 YCbCr 模型)计算 12 个颜色空间参数。在第 1 次放疗时,使用 nanoDot 光激励发光剂量计测量照射乳房的皮肤剂量。随后,根据放射治疗肿瘤组评分标准,在 RT14days 和 RTafter 评估每位患者的急性放射性皮炎。最后,采用多种统计分析方法研究颜色空间参数评估放射性皮炎的性能。
由于辐射引起的皮肤损伤,照射乳房的 RGB 模型的 R 值以及 HSV 模型的 S 和 V 值显著增加,而未照射乳房的 R 值、S 值和 V 值增加较小。这些参数在组内和组间随时间表现出颜色空间参数的纵向变化,具有统计学意义。照射乳房的 RT7days 时的参数与皮肤剂量以及 RTafter 时的参数具有显著的相关性。
RGB 模型的 R 值以及 HSV 模型的 S 和 V 值在评估急性放射性皮炎方面表现出较好的性能。因此,这些颜色空间参数可以作为评估放射性皮炎严重程度的有用工具,且与剂量相关。