The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Rectal Cancer: Local Staging and Assessment of Lymph Node Involvement with Endoluminal US, CT, and MR Imaging—A Meta-Analysis
Abstract
PURPOSE: To perform a meta-analysis to compare endoluminal ultrasonography (US), computed tomography (CT), and magnetic resonance (MR) imaging in rectal cancer staging. MATERIALS AND METHODS: Relevant articles published between 1985 and 2002 were included if more than 20 patients were studied, histopathologic findings were the reference standard, and data were presented for 2 x 2 tables; articles were excluded if data were reported elsewhere in more detail. Two reviewers independently extracted data on study characteristics and results. Bivariate random-effects approach was used to obtain summary estimates of sensitivity and specificity for invasion of muscularis propria, perirectal tissue, and adjacent organs and for lymph node involvement. Summary receiver operating characteristic (ROC) curves were fitted for perirectal tissue invasion and lymph node involvement. RESULTS: Ninety articles fulfilled all inclusion criteria. For muscularis propria invasion, US and MR imaging had similar sensitivities; specificity of US (86% [95% confidence interval [CI]: 80, 90]) was significantly higher than that of MR imaging (69% [95% CI: 52, 82]) (P =.02). For perirectal tissue invasion, sensitivity of US (90% [95% CI: 88, 92]) was significantly higher than that of CT (79% [95% CI: 74, 84]) (P <.001) and MR imaging (82% [95% CI: 74, 87]) (P =.003); specificities were comparable. For adjacent organ invasion and lymph node involvement, estimates for US, CT, and MR imaging were comparable. Summary ROC curve for US of perirectal tissue invasion showed better diagnostic accuracy than that of CT and MR imaging. Summary ROC curves for lymph node involvement showed no differences in accuracy. CONCLUSION: For local invasion, endoluminal US was most accurate and can be helpful in screening patients for available therapeutic strategies.
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Cites
Linear Statistical Inference and its Applications: Second Editon
Rao, C. R. (1973) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316436 · Cited by 10,489
Linear Statistical Inference and Its Applications.
Robertson, C. A., & Rao, C. R. (1975) · Biometrics · doi:10.2307/2529568 · Cited by 3,598
Empirical evidence of design-related bias in studies of diagnostic tests.
Lijmer, J. G. (1999) · JAMA · doi:10.1001/jama.282.11.1061 · Cited by 1,861
Advanced methods in meta‐analysis: multivariate approach and meta‐regression
van Houwelingen, H. C., Arends, L. R., & Stijnen, T. (2002) · Statistics in Medicine · doi:10.1002/sim.1040 · Cited by 1,580
A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations
Rutter, C. M., & Gatsonis, C. A. (2001) · Statistics in Medicine · doi:10.1002/sim.942 · Cited by 1,505
Beets-Tan, R., Beets, G., Vliegen, R., Kessels, A., Boven, H. V., Bruine, A. D., von Meyenfeldt, M., Baeten, C., & van Engelshoven, J. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04040-x · Cited by 820
Regression Analysis for Correlated Data
Liang, K. Y., & Zeger, S. L. (1993) · Annual Review of Public Health · doi:10.1146/annurev.pu.14.050193.000355 · Cited by 764
Kinkel, K., Lu, Y., Both, M., Warren, R. S., & Thoeni, R. F. (2002) · Radiology · doi:10.1148/radiol.2243011362 · Cited by 621
Rectal Carcinoma: Thin-Section MR Imaging for Staging in 28 Patients
Brown, G., Richards, C. J., Newcombe, R. G., Dallimore, N. S., Radcliffe, A. G., Carey, D. P., Bourne, M. W., & Williams, G. T. (1999) · Radiology · doi:10.1148/radiology.211.1.r99ap35215 · Cited by 451
Estimating Diagnostic Accuracy from Multiple Conflicting Reports: A New Meta-analytic Method
Littenberg, B., & Moses, L. E. (1993) · Medical Decision Making · doi:10.1177/0272989x9301300408 · Cited by 434
Metadata
- Authors
- Bipat, S., Glas, A. S., Slors, F. J. M., Zwinderman, A. H., Bossuyt, P. M. M., & Stoker, J.
- Venue
- Radiology
- Published
- 2004-09
- Volume
- 232
- Issue
- 3
- Pages
- 773-783
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2055949217
- Cited by
- 1,015
- References
- 37
- FWCI
- 1.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bipat, S., Glas, A. S., Slors, F. J. M., Zwinderman, A. H., Bossuyt, P. M. M., & Stoker, J. (2004). Rectal Cancer: Local Staging and Assessment of Lymph Node Involvement with Endoluminal US, CT, and MR Imaging—A Meta-Analysis. Radiology. https://doi.org/10.1148/radiol.2323031368
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