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黑素瘤通过皮肤镜检查难以诊断。

Melanomas difficult to diagnose via dermoscopy.

机构信息

School of Medicine, Weill Cornell Medical College, New York, NY 10022, USA.

出版信息

G Ital Dermatol Venereol. 2010 Feb;145(1):111-26.

PMID:20197750
Abstract

Due to the potentially lethal nature of melanoma, prompt diagnosis and timely excision are of paramount importance. The clinical ABCD mnemonic (asymmetry, boarder irregularity, color variegation and diameter greater than 6mm) is one of the first and most widely used methods introduced to teach early melanoma recognition. Unfortunately, some melanomas can evade the clinical ABCD rule and mimic benign melanocytic nevi or mimic benign and/or malignant variants of non-melanocytic lesions. Over the last two decades, knowledge and insight have been gained into the dermoscopic primary morphology of melanocytic and non-melanocytic lesions. This has allowed for the use of dermoscopy to substantially increase the diagnostic accuracy for melanoma over clinical naked-eye examination alone. Unfortunately, even with dermoscopy, some melanomas remain difficult to diagnose. However, these difficult to diagnose melanomas often reveal subtle dermoscopic clues that allow for their correct identification. In this review, we focus on five variants of melanoma that are challenging to identify and discuss the dermoscopic features that can assist in their diagnosis.

摘要

由于黑色素瘤可能致命,因此及时诊断和切除至关重要。临床 ABCD 记忆法(不对称、边界不规则、颜色斑驳和直径大于 6 毫米)是最早也是最广泛用于教授早期黑色素瘤识别的方法之一。不幸的是,一些黑色素瘤可能逃避临床 ABCD 规则,模拟良性黑色素细胞痣或模拟良性和/或恶性非黑色素细胞病变的变体。在过去的二十年中,人们对黑色素细胞和非黑色素细胞病变的皮肤镜原发性形态有了更多的了解和认识。这使得皮肤镜检查能够大大提高黑色素瘤的诊断准确性,超过仅凭临床肉眼检查。不幸的是,即使使用皮肤镜检查,一些黑色素瘤仍然难以诊断。然而,这些难以诊断的黑色素瘤通常会揭示一些细微的皮肤镜线索,从而可以正确识别它们。在这篇综述中,我们重点介绍了五种难以识别的黑色素瘤变体,并讨论了有助于诊断的皮肤镜特征。

相似文献

1
Melanomas difficult to diagnose via dermoscopy.黑素瘤通过皮肤镜检查难以诊断。
G Ital Dermatol Venereol. 2010 Feb;145(1):111-26.
2
Limitations of dermoscopy in the recognition of melanoma.皮肤镜在黑色素瘤识别中的局限性。
Arch Dermatol. 2005 Feb;141(2):155-60. doi: 10.1001/archderm.141.2.155.
3
Dermoscopy patterns of nevi associated with melanoma.痣相关黑色素瘤的皮肤镜模式。
G Ital Dermatol Venereol. 2010 Feb;145(1):99-110.
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Clinical selection of melanocytic lesions for dermoscopy decreases the identification of suspicious lesions in comparison with dermoscopy without clinical preselection.与未经临床预选的皮肤镜检查相比,对黑素细胞性皮损进行临床筛选的皮肤镜检查会减少可疑皮损的识别。
Br J Dermatol. 2006 May;154(5):873-9. doi: 10.1111/j.1365-2133.2006.07165.x.
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Features of small melanocytic lesions: does small mean benign? A clinical-dermoscopic study.小黑素细胞性病变的特征:小是否意味着良性?一项临床-皮肤镜研究。
Melanoma Res. 2012 Jun;22(3):252-6. doi: 10.1097/CMR.0b013e3283527430.
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Sensitivity, specificity, and diagnostic accuracy of three dermoscopic algorithmic methods in the diagnosis of doubtful melanocytic lesions: the importance of light brown structureless areas in differentiating atypical melanocytic nevi from thin melanomas.三种皮肤镜算法方法在诊断可疑黑素细胞性病变中的敏感性、特异性和诊断准确性:浅棕色无结构区域在鉴别非典型黑素细胞痣与薄黑素瘤中的重要性。
J Am Acad Dermatol. 2007 May;56(5):759-67. doi: 10.1016/j.jaad.2007.01.014. Epub 2007 Feb 20.
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[Effect of dermoscopy on diagnostic accuracy of pigmented skin lesions emphasizing malignant melanoma].[皮肤镜检查对色素性皮肤病变诊断准确性的影响,重点关注恶性黑色素瘤]
Harefuah. 2009 Dec;148(12):820-3, 855.
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Dermoscopy for the pediatric dermatologist part III: dermoscopy of melanocytic lesions.儿科皮肤科医生的皮肤镜检查 第三部分:黑素细胞性病变的皮肤镜检查
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Surveillance of patients at high risk for cutaneous malignant melanoma using digital dermoscopy.使用数字皮肤镜对皮肤恶性黑色素瘤高危患者进行监测。
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Digital image analysis for diagnosis of cutaneous melanoma. Development of a highly effective computer algorithm based on analysis of 837 melanocytic lesions.用于皮肤黑色素瘤诊断的数字图像分析。基于对837个黑素细胞病变的分析开发一种高效的计算机算法。
Br J Dermatol. 2004 Nov;151(5):1029-38. doi: 10.1111/j.1365-2133.2004.06210.x.

引用本文的文献

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Patients poorly recognize lesions of concern that are malignant melanomas: is self-screening the correct advice?患者无法识别恶性黑色素瘤等有问题的病变:自我筛查是正确的建议吗?
PeerJ. 2024 Jul 3;12:e17674. doi: 10.7717/peerj.17674. eCollection 2024.
2
Clinical Clues to Avoid Missing Melanoma When Morphology is Not Enough.当形态学表现不足以诊断时,避免漏诊黑色素瘤的临床线索。
Dermatol Pract Concept. 2021 Sep 1;11(4):e2021143. doi: 10.5826/dpc.1104143. eCollection 2021 Sep.
3
Discrimination Between Invasive and Melanomas Using Clinical Close-Up Images and a Convolutional Neural Network.
利用临床特写图像和卷积神经网络鉴别侵袭性黑色素瘤
Front Med (Lausanne). 2021 Sep 14;8:723914. doi: 10.3389/fmed.2021.723914. eCollection 2021.
4
Clinical-dermoscopic similarities between atypical nevi and early stage melanoma.非典型痣与早期黑色素瘤之间的临床皮肤镜相似性。
Exp Ther Med. 2021 Aug;22(2):854. doi: 10.3892/etm.2021.10286. Epub 2021 Jun 9.