Accuracy of MR Imaging in Preoperative Staging of Rectal Cancer
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Research Article
P: 173-179
December 2016

Accuracy of MR Imaging in Preoperative Staging of Rectal Cancer

J Ankara Univ Fac Med 2016;69(3):173-179
1. Department of Radiology, Ankara University, School of Medicine, Ankara, Turkey
2. Department of Pathology, Ankara University, School of Medicine, Ankara, Turkey
3. Department of General Surgery, Ankara University, School of Medicine, Ankara, Turkey
No information available.
No information available
Received Date: 15.07.2015
Accepted Date: 30.12.2016
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ABSTRACT

Aim:

In this study we aimed to evaluate the accuracy of preoperative rectal cancer staging in our center, using 1.0 Tesla Magnetic resonance imaging (MRI) with phased-array coils and determine if the results can be improved by adopting thin-section MRI techniques.

Materal and Methods:

Eighty-four patients with biopsy proven rectal cancer were prospectively evaluated by MRI using either the standard (8 mm sections in all planes) or the thin-section protocol (additional 5 mm sections in oblique axial plane perpendicular to the long axis of the tumor). Patients undergoing surgery with or without neoadjuvant therapy (standard MRI, n=15 and thin-section MRI, n=22) were included in the analysis. TNM stage, circumferential resection margin (CRM) and adjacent organ involvement were compa-red with histopathologic findings.

Results:

In the thin-section group, estimation of tumor stage was 59% accurate, showing fair agreement with histopathology (κ=0.38, p<0.05); sensitivity and specificity rates were 100% and 59% for T2 and 47% and 100% for T3 stages. In the standard group estimation of T stage was only 40% accurate, showing no significant agreement with histopathology. The most frequent staging error was under-staging of borderline pT3 tumors in both groups. Accuracy, sensitivity and specificity of positive CRM were 67%, 67% and 95% for thin-section group and 50%, 100% and 93% for standard group, respectively; agreement with histopathology was significant only for the thin-section group (κ=0.61; p<0.05). Accuracy of nodal status was 77% in the thin-section group (κ=0.51; p<0.05) and 87% in the standard group (κ=0.75; p<0.05).

Conclusion:

Thin-section MRI techniques can be used to improve tumor staging and positive CRM predictions even with low field magnet systems.

Keywords: Magnetic Resonance Imaging, Rectal Cancer, Tumor Staging

References

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