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Preoperative T staging of colon cancer using CT colonography with multiplanar reconstruction: new diagnostic criteria based on 'bordering vessels'
- Source :
- International Journal of Colorectal Disease. 34:641-648
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Preoperative T staging of colon cancer, in particular, for distinguishing T3 from T2 and T4, has been a challenge. The aim of this study was to evaluate newly developed criteria for preoperative T staging of colorectal cancer using computed tomography colonography (CTC) with multiplanar reconstruction (MPR), based on the spatial relationship of tumors and “bordering vessels,” that is, marginal vessels that are detectable by multi-detector row CT with MPR. A total of 172 patients with colon and upper rectal cancer who underwent preoperative CTC and surgery between August 2011 and September 2013 were included. Preoperative T staging using the new criteria was performed prospectively and compared with pathologic results. Sensitivity, specificity, and accuracy of T staging by CTC using the new criteria were 63%, 80%, and 77% for T2 (n = 30); 72%, 94%, and 81% for T3 (n = 95); and 79%, 99%, and 97% for T4a (n = 14), respectively. Positive predictive value for T3 was 93%, indicating that a T3 diagnosis by CTC is precise. In addition, negative predictive value for pathological T4a was 98%, indicating that a “not T4a” diagnosis by CTC is also precise. Our newly developed criteria are useful for preoperative T staging, particularly for distinguishing T3 from T2 and T4.
- Subjects :
- Adult
Male
medicine.medical_specialty
Colorectal cancer
030230 surgery
03 medical and health sciences
0302 clinical medicine
Computed Tomography Colonography
Internal medicine
Preoperative Care
Image Processing, Computer-Assisted
medicine
Humans
Aged
Neoplasm Staging
Aged, 80 and over
business.industry
Gastroenterology
Middle Aged
Hepatology
Multiplanar reconstruction
medicine.disease
Predictive value
030220 oncology & carcinogenesis
Colonic Neoplasms
Female
Radiology
Spatial relationship
business
Colonography, Computed Tomographic
Subjects
Details
- ISSN :
- 14321262 and 01791958
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- International Journal of Colorectal Disease
- Accession number :
- edsair.doi.dedup.....589975c6efa001917a8c72cfbdeedc4d
- Full Text :
- https://doi.org/10.1007/s00384-019-03236-y