• 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

重复诊断测试数据的统计组合方案。

Statistical combination schemes of repeated diagnostic test data.

作者信息

Zou Kelly H, Bhagwat Jui G, Carrino John A

机构信息

Department of Radiology (L-2), Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA.

出版信息

Acad Radiol. 2006 May;13(5):566-72. doi: 10.1016/j.acra.2006.01.052.

DOI:10.1016/j.acra.2006.01.052
PMID:16627197
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1475743/
Abstract

RATIONALE AND OBJECTIVES

When diagnostic tests are repeated and combined, a number of schemes may be adopted. Guidelines for their interpretations are required.

MATERIALS AND METHODS

Three combination schemes, "and" (A), "or" (O), and "majority" (M), are considered. To evaluate these schemes, dependency by specifying kappa values quantifying repeated test agreement was structured. In a pilot study, the combined accuracies of magnetic resonance imaging using six different pulse sequences of medial collateral ligaments of the elbows of 28 cadavers, with eight having lesions artificially created surgically, were examined. Images were evaluated simultaneously by using a five-point ordinal scale. For each pulse sequence, individuals for whom the diagnosis varied from once to three repetitions were considered.

RESULTS

Scheme M improves diagnostic accuracy when sensitivity and specificity of a single test exceed 0.5, with maximal improvement at 0.79. Under scheme A, sensitivity decreases to 0.38-0.59. Under scheme O, sensitivity increases to 0.53-0.79. Scheme M yields a small improvement, reaching 0.50-0.71. Under scheme A, specificity increases to 0.95-0.98. Under scheme O, specificity decreases to 0.91-0.98. Scheme M also yields a small improvement, reaching 0.94-0.98.

CONCLUSION

Scheme A is recommended for ruling in diagnoses, scheme O is recommended for ruling out diagnoses, and scheme M is neutral. Consequently, different schemes may be used to optimize the target diagnostic accuracy.

摘要

原理与目的

当重复并组合诊断测试时,可采用多种方案。需要对其解读制定指南。

材料与方法

考虑了三种组合方案,即“与”(A)、“或”(O)和“多数”(M)。为评估这些方案,通过指定量化重复测试一致性的kappa值来构建依赖性。在一项初步研究中,检查了使用28具尸体肘部内侧副韧带的六种不同脉冲序列进行磁共振成像的联合准确性,其中八具尸体的病变是通过手术人为制造的。使用五点有序量表同时对图像进行评估。对于每个脉冲序列,考虑诊断结果在一次到三次重复中有所变化的个体。

结果

当单次测试的敏感性和特异性超过0.5时,方案M可提高诊断准确性,在0.79时提高最大。在方案A下,敏感性降至0.38 - 0.59。在方案O下,敏感性增至0.53 - 0.79。方案M有小幅提高,达到0.50 - 0.71。在方案A下,特异性增至0.95 - 0.98。在方案O下,特异性降至0.91 - 0.98。方案M也有小幅提高,达到0.94 - 0.98。

结论

推荐方案A用于确诊,推荐方案O用于排除诊断,方案M为中性。因此,可使用不同方案来优化目标诊断准确性。

相似文献

1
Statistical combination schemes of repeated diagnostic test data.重复诊断测试数据的统计组合方案。
Acad Radiol. 2006 May;13(5):566-72. doi: 10.1016/j.acra.2006.01.052.
2
Atlas encoding by randomized forests for efficient label propagation.用于高效标签传播的随机森林地图集编码
Med Image Comput Comput Assist Interv. 2013;16(Pt 3):66-73. doi: 10.1007/978-3-642-40760-4_9.
3
Simultaneous registration and segmentation of anatomical structures from brain MRI.基于脑部磁共振成像的解剖结构同步配准与分割
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):17-25. doi: 10.1007/11566465_3.
4
A conditional random field approach for coupling local registration with robust tissue and structure segmentation.一种用于将局部配准与稳健的组织和结构分割相结合的条件随机场方法。
Med Image Comput Comput Assist Interv. 2009;12(Pt 2):540-8. doi: 10.1007/978-3-642-04271-3_66.
5
Discriminative, semantic segmentation of brain tissue in MR images.磁共振图像中脑组织的判别式语义分割。
Med Image Comput Comput Assist Interv. 2009;12(Pt 2):558-65. doi: 10.1007/978-3-642-04271-3_68.
6
Information fusion in biomedical image analysis: combination of data vs. combination of interpretations.生物医学图像分析中的信息融合:数据组合与解释组合
Inf Process Med Imaging. 2005;19:150-61. doi: 10.1007/11505730_13.
7
Noise removal using smoothed normals and surface fitting.使用平滑法线和曲面拟合进行噪声去除。
IEEE Trans Image Process. 2004 Oct;13(10):1345-57. doi: 10.1109/tip.2004.834662.
8
Adaptive subdivision for hierarchical non-rigid registration of multi-modal images using mutual information.基于互信息的多模态图像分层非刚性配准的自适应细分
Med Image Comput Comput Assist Interv. 2005;8(Pt 2):976-83. doi: 10.1007/11566489_120.
9
Computerized interpretation of breast MRI: investigation of enhancement-variance dynamics.乳腺磁共振成像的计算机化解读:增强差异动力学研究
Med Phys. 2004 May;31(5):1076-82. doi: 10.1118/1.1695652.
10
Comments on "fundamental limits of reconstruction-based superresolution algorithms under local translation".关于“基于重建的超分辨率算法在局部平移下的基本限制”的评论
IEEE Trans Pattern Anal Mach Intell. 2006 May;28(5):846; discussion 847. doi: 10.1109/TPAMI.2006.91.

引用本文的文献

1
Aggregating multiple test results to improve medical decision-making.汇总多个检测结果以改善医疗决策。
PLoS Comput Biol. 2025 Jan 7;21(1):e1012749. doi: 10.1371/journal.pcbi.1012749. eCollection 2025 Jan.
2
A review of methods for the analysis of diagnostic tests performed in sequence.对按顺序进行的诊断试验分析方法的综述。
Diagn Progn Res. 2024 Sep 3;8(1):8. doi: 10.1186/s41512-024-00175-3.
3
Home-based visual field test for glaucoma screening comparison with Humphrey perimeter.用于青光眼筛查的居家视野测试与汉弗莱视野计的比较
Clin Ophthalmol. 2018 Dec 12;12:2597-2606. doi: 10.2147/OPTH.S187832. eCollection 2018.
4
Benefits of Independent Double Reading in Digital Mammography: A Theoretical Evaluation of All Possible Pairing Methodologies.数字乳腺摄影独立双读的优势:所有可能配对方法的理论评估。
Acad Radiol. 2019 Jun;26(6):717-723. doi: 10.1016/j.acra.2018.06.017. Epub 2018 Jul 29.
5
Accuracy of different diagnostic tests for early, delayed and late prosthetic joint infection.不同诊断测试对早期、延迟性和晚期人工关节感染的准确性。
BMC Infect Dis. 2017 Aug 25;17(1):592. doi: 10.1186/s12879-017-2693-1.
6
ROC analysis in biomarker combination with covariate adjustment.联合协变量调整的生物标志物 ROC 分析。
Acad Radiol. 2013 Jul;20(7):874-82. doi: 10.1016/j.acra.2013.03.009.
7
Approximating the risk score for disease diagnosis using MARS.使用MARS评估疾病诊断的风险评分
J Appl Stat. 2009 Jul 7;36(7):769-778. doi: 10.1080/0266476YYxxxxxxxx.

本文引用的文献

1
On linear combinations of biomarkers to improve diagnostic accuracy.关于生物标志物的线性组合以提高诊断准确性。
Stat Med. 2005 Jan 15;24(1):37-47. doi: 10.1002/sim.1922.
2
Combining diagnostic test results to increase accuracy.结合诊断测试结果以提高准确性。
Biostatistics. 2000 Jun;1(2):123-40. doi: 10.1093/biostatistics/1.2.123.
3
Assessing the diagnostic accuracy of a sequence of tests.评估一系列检测的诊断准确性。
Biostatistics. 2003 Jul;4(3):341-51. doi: 10.1093/biostatistics/4.3.341.
4
Comparison of accuracy and interreader agreement in side-by-side versus independent evaluations of MR imaging of the medial collateral ligament of the elbow.肘关节内侧副韧带磁共振成像的并排评估与独立评估的准确性及阅片者间一致性比较
Acad Radiol. 2002 May;9(5):520-5. doi: 10.1016/s1076-6332(03)80328-8.
5
Noncontrast MR imaging and MR arthrography of the ulnar collateral ligament of the elbow: prospective evaluation of two-dimensional pulse sequences for detection of complete tears.肘关节尺侧副韧带的非增强磁共振成像及磁共振关节造影:检测完全撕裂的二维脉冲序列的前瞻性评估
Skeletal Radiol. 2001 Nov;30(11):625-32. doi: 10.1007/s002560100396. Epub 2001 Jul 31.
6
Lateral ulnar collateral ligament of the elbow: optimization of evaluation with two-dimensional MR imaging.肘部尺侧副韧带:二维磁共振成像评估的优化
Radiology. 2001 Jan;218(1):118-25. doi: 10.1148/radiology.218.1.r01ja52118.
7
Testing the equality of two dependent kappa statistics.检验两个相关kappa统计量的相等性。
Stat Med. 2000 Feb 15;19(3):373-87. doi: 10.1002/(sici)1097-0258(20000215)19:3<373::aid-sim337>3.0.co;2-y.
8
The measurement of observer agreement for categorical data.分类数据观察者一致性的测量。
Biometrics. 1977 Mar;33(1):159-74.