Tschandl P, Hofmann L, Fink C, Kittler H, Haenssle H A
Department of Dermatology, Medical University of Vienna, Vienna, Austria.
Department of Dermatology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
J Eur Acad Dermatol Venereol. 2017 Jun;31(6):972-977. doi: 10.1111/jdv.14065. Epub 2017 Jan 10.
What lesions to select for a most efficient dermatoscopic monitoring of patients with multiple nevi remains an unresolved issue.
To compare the grade of atypia of melanomas and nevi of the same patient at baseline.
Prospective observational study using 236 dermatoscopic baseline images (59 quartets from 59 patients, each including one melanoma detected during follow-up and three nevi). Dermatologists (n = 26) were asked to assess the 'grade of dermatoscopic atypia' on a numerical scale and to identify the melanomas.
On average, each dermatologist identified 24 of 59 melanomas (40%, range: 11-37). The number of correct picks was greater for dermatologists with moderate (mean: 28) or high (mean: 28) experience compared to beginners (mean 17; P < 0.001). In three of the 59 sets, none of the 26 dermatologists identified the melanoma. The mean grade of dermatoscopic atypia was 2.5 for nevi (95% CI: 2.4-2.6) and 3.0 for melanomas (95% CI: 2.9-3.1, P < 0.001).
Rating dermatologists were informed that each quartet of images included one melanoma creating substantial deviation from a real-life situation.
A significant proportion of melanomas detected during follow-up cannot be differentiated from nevi at baseline. This necessitates the additional inclusion of less atypical lesions for monitoring.
对于多发性痣患者,选择哪些病变进行最有效的皮肤镜监测仍是一个未解决的问题。
比较同一患者基线时黑色素瘤和痣的非典型程度。
前瞻性观察研究,使用236张皮肤镜基线图像(来自59名患者的59组四重图像,每组包括随访期间检测到的1例黑色素瘤和3颗痣)。要求皮肤科医生(n = 26)以数字量表评估“皮肤镜非典型程度”并识别黑色素瘤。
平均而言,每位皮肤科医生从59例黑色素瘤中识别出24例(40%,范围:11 - 37)。与初学者(平均17例;P < 0.001)相比,经验中等(平均28例)或丰富(平均28例)的皮肤科医生识别出的正确病例数更多。在59组中的3组中,26位皮肤科医生均未识别出黑色素瘤。痣的皮肤镜非典型程度平均为2.5(95%CI:2.4 - 2.6),黑色素瘤为3.0(95%CI:2.9 - 3.1,P < 0.001)。
告知参与评级的皮肤科医生每组四重图像中包括1例黑色素瘤,这与实际情况有很大偏差。
随访期间检测到的相当一部分黑色素瘤在基线时无法与痣区分开来。这就需要额外纳入非典型程度较低的病变进行监测。