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Does multidetector computed tomographic urography (MDCTU) T staging classification correspond with pathologic T staging in upper tract urothelial carcinoma?

Authors :
Myung Soo Kim
Suk Hee Heo
Chan Choi
Byung Chan Lee
Eu Chang Hwang
Woo Kyun Bae
Young Hoe Hur
Seung Il Jung
Ho Seok Chung
Seong Hyeon Yu
Dong Deuk Kwon
Jun Eul Hwang
Source :
International Urology and Nephrology. 53:69-75
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

Multidetector computed tomographic urography (MDCTU) is not yet sufficient to be used in the clinical staging of upper tract urothelial carcinoma (UTUC). This study aimed to compare the diagnostic accuracy of MDCTU T stage classification and pathologic T staging for UTUC. We retrospectively evaluated 125 patients with UTUC who underwent preoperative MDCTU. A single radiologist classified the MDCTU pattern of the tumors as either low or advanced T stage for localized or locally advanced tumors, respectively. The diagnostic values of MDCTU for locally advanced tumors and the kappa agreement between MDCTU and pathologic T stage were investigated. Among 85 pathologic low T stage (Ta–T2) tumors, 71 low T stage tumors were correctly detected by MDCTU, while 30 out of 40 advanced T stage (T3–T4) tumors were correctly diagnosed by MDCTU. MDCTU led to under-staging in 8% (10/125) tumors and over-staging in 11.2% (14/125) tumors. Therefore, the overall accuracy of MDCTU in the diagnosis of low and advanced T stage tumors was 80.8% (101/125 patients). The sensitivity for advanced T stage tumors was 75% (30/40), the specificity was 83.5% (71/85), and the positive and negative predictive values were 68.1% (30/44) and 87.6% (71/81), respectively. The kappa agreement value between the MDCTU T stage and pathologic T stage was 0.57 (95% confidence interval (CI) 0.42–0.72), which was statistically significant (P = 0.001). MDCTU T stage classification may be relatively accurate for the detection and staging of UTUC correspondence with a pathologic stage.

Details

ISSN :
15732584 and 03011623
Volume :
53
Database :
OpenAIRE
Journal :
International Urology and Nephrology
Accession number :
edsair.doi.dedup.....44b6c36c9c3b479a770e95dc2665e4ce