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利用高光谱成像技术准确分割皮肤慢性移植物抗宿主病的红斑和色素沉着。

Hyperspectral imaging to accurately segment skin erythema and hyperpigmentation in cutaneous chronic graft-versus-host disease.

机构信息

Vanderbilt Dermatology Translational Research Clinic, Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.

出版信息

J Biophotonics. 2023 Jul;16(7):e202300009. doi: 10.1002/jbio.202300009. Epub 2023 Apr 10.

Abstract

In 51 lesions from 15 patients with the inflammatory skin condition chronic graft-versus-host-disease, hyperspectral imaging accurately delineated active erythema and post-inflammatory hyperpigmentation. The method was validated by dermatologist-approved confident delineations of only definitely affected and definitely unaffected areas in photographs. A prototype hyperspectral imaging system acquired a 2.5 × 3.5 cm area of skin at 120 wavelengths in the 450-850 nm range. Unsupervised extraction of unknown absorbers by endmember analysis achieved a comparable accuracy to that of supervised extraction of known absorbers (melanin, hemoglobin) by chromophore mapping: 0.78 (IQR: 0.39-0.85) vs. 0.83 (0.53-0.91) to delineate erythema and 0.74 (0.57-0.87) vs. 0.73 (0.52-0.84) to delineate hyperpigmentation. Both algorithms achieved higher specificity than sensitivity. Whereas a trained human confidently marked a median of 7% of image pixels, unsupervised and supervised algorithms delineated a median of 14% and 27% pixels. Hyperspectral imaging could overcome a fundamental practice gap of distinguishing active from inactive manifestations of inflammatory skin disease.

摘要

在 15 名患有慢性移植物抗宿主病(GVHD)炎症性皮肤病患者的 51 处病变中,高光谱成像技术能够准确地描绘出活跃的红斑和炎症后色素沉着。该方法通过皮肤科医生对照片中明确受影响和明确不受影响区域的有信心的描绘进行了验证。原型高光谱成像系统在 450-850nm 范围内的 120 个波长处采集了 2.5×3.5cm 的皮肤区域。通过端元分析对未知吸收体的无监督提取与通过色团映射对已知吸收体(黑色素、血红蛋白)的监督提取达到了相当的准确性:0.78(IQR:0.39-0.85)与 0.83(0.53-0.91)用于描绘红斑,0.74(0.57-0.87)与 0.73(0.52-0.84)用于描绘色素沉着。两种算法的特异性均高于敏感性。虽然经过训练的人可以自信地标出图像中 7%的像素,但无监督和监督算法分别描绘了 14%和 27%的像素。高光谱成像技术可以克服鉴别炎症性皮肤病活动和非活动表现的一个基本实践差距。

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