• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

计算机辅助多光谱数字皮肤病变分析后的色素性皮肤病变活检

Pigmented Skin Lesion Biopsies After Computer-Aided Multispectral Digital Skin Lesion Analysis.

作者信息

Winkelmann Richard R, Tucker Natalie, White Richard, Rigel Darrell S

出版信息

J Am Osteopath Assoc. 2015 Nov;115(11):666-9. doi: 10.7556/jaoa.2015.137.

DOI:10.7556/jaoa.2015.137
PMID:26501759
Abstract

BACKGROUND

The incidence of melanoma has been rising over the past century. With 37% of patients presenting to their primary care physician with at least 1 skin problem, primary care physicians and other nondermatologist practitioners have substantial opportunity to make an impact at the forefront of the disease process. New diagnostic aids have been developed to augment physician analysis of suspicious pigmented skin lesions (PSLs).

OBJECTIVE

To determine the effects of computer-aided multispectral digital skin lesion analysis (MSDSLA) on dermatologists' and nondermatologist clinicians' decisions to biopsy suspicious PSLs after clinical and dermatoscopic evaluation.

METHODS

Participants were shown 6 images of PSLs. For each PSL, participants were asked 3 times if they would biopsy the lesion: first after reviewing a clinical image of the PSL, again after reviewing a high-resolution dermatoscopic image, and again after reviewing MSDSLA probability findings. An answer was right if a melanoma or high-risk lesion was selected for biopsy or a low-risk lesion was not selected for biopsy. An answer was wrong if a melanoma or high-risk lesion was not selected for biopsy or a low-risk lesion was selected for biopsy. Clinicians' decisions to biopsy were evaluated using χ² analysis for proportions.

RESULTS

Data were analyzed from a total of 212 participants, 177 of whom were dermatologists. Overall, sensitivity of clinical image review was 63%; dermatoscopic image review, 5%; and MSDSLA, 83%. Specificity of clinical image review was 59%; dermatoscopic image review, 40%; and MSDSLA, 76%. Biopsy decision accuracy was 61% after review of clinical images, 52% after review of dermatoscopic images, and 80% after review of MSDSLA findings. The number of lesions participants indicated that they would biopsy increased significantly, from 52% after reviewing clinical images to 63% after reviewing dermatoscopic images (P<.001). However, the overall number of specimens that participants indicated they would biopsy did not change significantly after they reviewed MSDSLA findings (53%).

CONCLUSION

Sensitivity, specificity, and biopsy decision accuracy increased after clinicians reviewed MSDSLA findings. The use of objective, computer-based diagnostic aids such as MSDSLA during clinical evaluations of ambiguous PSLs could aid clinicians' decisions to biopsy such lesions.

摘要

背景

在过去的一个世纪里,黑色素瘤的发病率一直在上升。37%的患者因至少有1种皮肤问题就诊于初级保健医生,初级保健医生和其他非皮肤科医生有很大机会在疾病进程的前沿发挥作用。已开发出新的诊断辅助工具,以增强医生对可疑色素沉着性皮肤病变(PSL)的分析。

目的

确定计算机辅助多光谱数字皮肤病变分析(MSDSLA)对皮肤科医生和非皮肤科临床医生在临床和皮肤镜评估后对可疑PSL进行活检决策的影响。

方法

向参与者展示6张PSL图像。对于每张PSL,询问参与者3次是否会对病变进行活检:第一次是在查看PSL的临床图像后,第二次是在查看高分辨率皮肤镜图像后,第三次是在查看MSDSLA概率结果后。如果选择对黑色素瘤或高风险病变进行活检,或者未选择对低风险病变进行活检,则答案正确。如果未选择对黑色素瘤或高风险病变进行活检,或者选择对低风险病变进行活检,则答案错误。使用χ²分析比例来评估临床医生的活检决策。

结果

共分析了212名参与者的数据,其中177名是皮肤科医生。总体而言,临床图像评估的敏感性为63%;皮肤镜图像评估的敏感性为5%;MSDSLA的敏感性为83%。临床图像评估的特异性为59%;皮肤镜图像评估的特异性为40%;MSDSLA的特异性为76%。查看临床图像后活检决策的准确性为61%,查看皮肤镜图像后为52%,查看MSDSLA结果后为80%。参与者表示会活检的病变数量显著增加,从查看临床图像后的52%增至查看皮肤镜图像后的63%(P<0.001)。然而,参与者表示会活检的标本总数在查看MSDSLA结果后没有显著变化(53%)。

结论

临床医生查看MSDSLA结果后,敏感性、特异性和活检决策准确性均有所提高。在对不明确的PSL进行临床评估时,使用诸如MSDSLA等基于计算机的客观诊断辅助工具可帮助临床医生做出对这类病变进行活检的决策。

相似文献

1
Pigmented Skin Lesion Biopsies After Computer-Aided Multispectral Digital Skin Lesion Analysis.计算机辅助多光谱数字皮肤病变分析后的色素性皮肤病变活检
J Am Osteopath Assoc. 2015 Nov;115(11):666-9. doi: 10.7556/jaoa.2015.137.
2
Impact of Guidance Provided by a Multispectral Digital Skin Lesion Analysis Device Following Dermoscopy on Decisions to Biopsy Atypical Melanocytic Lesions.多光谱数字皮肤病变分析设备在皮肤镜检查后提供的指导对非典型黑素细胞病变活检决策的影响
J Clin Aesthet Dermatol. 2015 Sep;8(9):21-4.
3
Performance of a computer-aided digital dermoscopic image analyzer for melanoma detection in 1,076 pigmented skin lesion biopsies.计算机辅助数字皮肤镜图像分析在 1076 例色素性皮损活检标本中用于黑色素瘤检测的性能。
J Am Acad Dermatol. 2018 May;78(5):927-934.e6. doi: 10.1016/j.jaad.2017.01.049.
4
Enhanced melanoma diagnosis with multispectral digital skin lesion analysis.通过多光谱数字皮肤病变分析增强黑色素瘤诊断
Cutis. 2018 May;101(5):338-340.
5
Diagnostic and neural analysis of skin cancer (DANAOS). A multicentre study for collection and computer-aided analysis of data from pigmented skin lesions using digital dermoscopy.皮肤癌的诊断与神经分析(DANAOS)。一项利用数字皮肤镜收集和计算机辅助分析色素性皮肤病变数据的多中心研究。
Br J Dermatol. 2003 Oct;149(4):801-9. doi: 10.1046/j.1365-2133.2003.05547.x.
6
Enhancement of International Dermatologists' Pigmented Skin Lesion Biopsy Decisions Following Dermoscopy with Subsequent Integration of Multispectral Digital Skin Lesion Analysis.在皮肤镜检查后增强国际皮肤科医生对色素性皮肤病变活检的决策,并随后整合多光谱数字皮肤病变分析。
J Clin Aesthet Dermatol. 2016 Jul;9(7):53-5. Epub 2016 Jul 1.
7
The performance of SolarScan: an automated dermoscopy image analysis instrument for the diagnosis of primary melanoma.SolarScan的性能:一种用于原发性黑色素瘤诊断的自动皮肤镜图像分析仪器
Arch Dermatol. 2005 Nov;141(11):1388-96. doi: 10.1001/archderm.141.11.1388.
8
Noninvasive Technologies for the Diagnosis of Cutaneous Melanoma.无创性技术在皮肤黑色素瘤诊断中的应用。
Dermatol Clin. 2017 Oct;35(4):453-456. doi: 10.1016/j.det.2017.06.006. Epub 2017 Aug 7.
9
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists.基于皮肤镜的计算机视觉系统与经验丰富的皮肤科医生的目视评估相比在诊断色素性皮肤病变中的性能。
Artif Intell Med. 2014 Jan;60(1):13-26. doi: 10.1016/j.artmed.2013.11.006. Epub 2013 Dec 9.
10
Computer-aided dermoscopy for diagnosis of melanoma.用于黑色素瘤诊断的计算机辅助皮肤镜检查
BMC Dermatol. 2005 Jul 6;5:8. doi: 10.1186/1471-5945-5-8.

引用本文的文献

1
Hyperspectral and multispectral image processing for gross-level tumor detection in skin lesions: a systematic review.用于皮肤病变中大体水平肿瘤检测的高光谱和多光谱图像处理:系统评价。
J Biomed Opt. 2022 Jun;27(6). doi: 10.1117/1.JBO.27.6.060901.
2
Computer-assisted diagnosis techniques (dermoscopy and spectroscopy-based) for diagnosing skin cancer in adults.用于诊断成人皮肤癌的计算机辅助诊断技术(基于皮肤镜检查和光谱学)。
Cochrane Database Syst Rev. 2018 Dec 4;12(12):CD013186. doi: 10.1002/14651858.CD013186.