• 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

用于眼睑肿瘤远程诊断的传统相机图像与智能手机图像的对比研究。

Comparative study between conventional camera images and smartphone images for eyelid tumor telediagnosis.

作者信息

Aoki Lisia, Pereira Ivana Cardoso, Matayoshi Suzana

机构信息

Universidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, Clínica Oftalmológica, São Paulo, SP, Brasil.

出版信息

Rev Col Bras Cir. 2019 Mar 7;46(1):e2083. doi: 10.1590/0100-6991e-20192083.

DOI:10.1590/0100-6991e-20192083
PMID:30843945
Abstract

OBJECTIVE

to compare the accuracy of eyelid tumor diagnosis obtained by evaluating conventional camera images with the ones obtained by evaluating smartphone images.

METHODS

from January 2016 to July 2017, 36 patients underwent face-to-face external assessments and biomicroscopic examinations to establish clinical diagnoses. The lesions were photographed using Canon PowerShot SX530 HS Digital Camera (16.8 Megapixels) and Samsung GALAXY S4 smartphone camera. All lesions were resected and submitted to anatomopathological examinations. Preoperative images were sent to two specialists in eyelid diseases and then remotely analyzed. Data from in-person diagnoses and telediagnoses were compared with the gold standard of histological diagnosis.

RESULTS

the most frequent lesions were basal cell carcinoma (33.3%), actinic keratosis (19.4%), and nevus (13.9%). Kappa coefficient for the diagnosis of malignant lesion showed agreement between the two tele-evaluators in the conventional digital camera images (0.68) and in the smartphone images (0.78). The face-to-face examiner's accuracy was of 94.4%; the tele-evaluators' accuracy in the conventional digital camera images was of 83.3% and in the smartphone images varied from 80.6% to 86.1%. Comparing the in-person diagnoses with the telediagnoses (obtained by evaluating conventional digital camera images or smartphone images), there was no significant difference in the hit rates.

CONCLUSION

for eyelid tumor telediagnosis, images obtained using smartphone camera were equivalent to those obtained using conventional digital camera.

摘要

目的

比较通过评估传统相机图像与评估智能手机图像所获得的眼睑肿瘤诊断准确性。

方法

2016年1月至2017年7月,36例患者接受了面对面的外部评估和生物显微镜检查以确立临床诊断。使用佳能PowerShot SX530 HS数码相机(1680万像素)和三星GALAXY S4智能手机相机对病变进行拍照。所有病变均被切除并进行解剖病理学检查。术前图像被发送给两名眼睑疾病专家并进行远程分析。将现场诊断和远程诊断的数据与组织学诊断的金标准进行比较。

结果

最常见的病变为基底细胞癌(33.3%)、光化性角化病(19.4%)和痣(13.9%)。在传统数码相机图像(0.68)和智能手机图像(0.78)中,两名远程评估者对恶性病变诊断的kappa系数显示出一致性。面对面检查者的准确率为94.4%;远程评估者在传统数码相机图像中的准确率为83.3%,在智能手机图像中的准确率在80.6%至86.1%之间。将现场诊断与远程诊断(通过评估传统数码相机图像或智能手机图像获得)进行比较,命中率没有显著差异。

结论

对于眼睑肿瘤的远程诊断,使用智能手机相机获得的图像与使用传统相机获得的图像相当。

相似文献

1
Comparative study between conventional camera images and smartphone images for eyelid tumor telediagnosis.用于眼睑肿瘤远程诊断的传统相机图像与智能手机图像的对比研究。
Rev Col Bras Cir. 2019 Mar 7;46(1):e2083. doi: 10.1590/0100-6991e-20192083.
2
Telediagnosis of oral lesions using smartphone photography.口腔病变的智能手机摄影远程诊断。
Oral Dis. 2022 Sep;28(6):1573-1579. doi: 10.1111/odi.13972. Epub 2021 Aug 6.
3
Can We Trust the Use of Smartphone Cameras in Clinical Practice? Laypeople Assessment of Their Image Quality.我们能在临床实践中信赖智能手机摄像头的使用吗?非专业人士对其图像质量的评估。
Telemed J E Health. 2015 Nov;21(11):887-92. doi: 10.1089/tmj.2014.0221. Epub 2015 Jun 15.
4
Is it feasible to use smartphone images to perform telediagnosis of different stages of occlusal caries lesions?使用智能手机图像对不同阶段的窝沟龋病变进行远程诊断是否可行?
PLoS One. 2018 Sep 6;13(9):e0202116. doi: 10.1371/journal.pone.0202116. eCollection 2018.
5
A novel telemedicine technique for evaluation of ocular exam findings via smartphone images.一种通过智能手机图像评估眼科检查结果的新型远程医疗技术。
J Telemed Telecare. 2022 Apr;28(3):197-202. doi: 10.1177/1357633X20926819. Epub 2020 Jun 6.
6
Telemedical diagnosis of anterior segment eye diseases: validation of digital slit-lamp still images.远程医学诊断眼前段眼病:数字裂隙灯静态图像的验证。
Eye (Lond). 2009 Mar;23(3):652-60. doi: 10.1038/eye.2008.11. Epub 2008 Feb 15.
7
Clinical Validation of a Smartphone-Based Adapter for Optic Disc Imaging in Kenya.肯尼亚一款用于视盘成像的基于智能手机的适配器的临床验证
JAMA Ophthalmol. 2016 Feb;134(2):151-8. doi: 10.1001/jamaophthalmol.2015.4625.
8
Routine Photography of Injuries: A Comparison Between Smartphone Cameras and Digital Single-Lens Camera-A Pilot Study.常规外伤摄影:智能手机相机与数码单镜头反光相机的比较——一项初步研究。
Am J Forensic Med Pathol. 2023 Jun 1;44(2):83-89. doi: 10.1097/PAF.0000000000000825. Epub 2023 Mar 31.
9
Evaluation of a portable fundus camera for use in the teleophthalmologic diagnosis of glaucoma.用于青光眼远程眼科诊断的便携式眼底相机的评估
J Glaucoma. 1999 Oct;8(5):297-301.
10
Do it yourself smartphone fundus camera - DIYretCAM.自制智能手机眼底相机——DIYretCAM。
Indian J Ophthalmol. 2016 Sep;64(9):663-667. doi: 10.4103/0301-4738.194325.

引用本文的文献

1
SERPENT-Brasil: a technological tool for snakebite management.巴西蛇伤应对系统(SERPENT-Brasil):一种用于蛇咬伤处理的技术工具。
Rev Panam Salud Publica. 2025 May 5;49:e39. doi: 10.26633/RPSP.2025.39. eCollection 2025.
2
Evaluation of the proximal femur using the digital photographs: Does change in proximal femur position due to anteversion affect the measurement of the size of the femoral head diameter?使用数码照片评估股骨近端:由于前倾角导致的股骨近端位置变化是否会影响股骨头直径大小的测量?
J West Afr Coll Surg. 2024 Jul-Sep;14(3):314-318. doi: 10.4103/jwas.jwas_145_23. Epub 2024 May 24.
3
Telemedicine in Surgical Care in Low- and Middle-Income Countries: A Scoping Review.
中低收入国家外科护理中的远程医疗:范围综述。
World J Surg. 2022 Aug;46(8):1855-1869. doi: 10.1007/s00268-022-06549-2. Epub 2022 Apr 15.
4
Accuracy of periocular lesion assessment using telemedicine.远程医疗在眼周病变评估中的准确性。
BMJ Health Care Inform. 2021 Jan;28(1). doi: 10.1136/bmjhci-2020-100287.
5
Screening for Stereopsis of Children Using an Autostereoscopic Smartphone.使用自动立体智能手机对儿童进行立体视筛查。
J Ophthalmol. 2019 Oct 31;2019:1570309. doi: 10.1155/2019/1570309. eCollection 2019.