Rationale and Objective
To evaluate the inter-rater reliability of the magnetic resonance imaging (MRI)-derived
depth of invasion (DOI) and the agreement between MRI and pathological measurements
of oral tongue cancer.
Materials and Methods
The institutional review board approved this retrospective study. The study population
consisted of 29 patients with clinical T2N0 oral tongue cancer treated by surgery.
Routine pretreatment MRI was performed on a 3T superconducting imager. Two raters
with 23 and 18 years of head-and-neck MRI experience, respectively, independently
chosen MRI sequences for each patient, then delineate the tumor, and then used three
protocols to measure the MRI-derived DOI: the axial reconstructed thickness (method
1), the axial invasive portion (method 2), and the coronal invasive portion (method
3). Then they consensually selected the optimal among the three methods for each patient;
it was designated method 4. The Bland-Altman plots, intraclass correlation coefficients
(ICCs), and the paired samples test were used. According to the median follow-up of
41 months, the relationship between the MRI-derived DOI and nodal recurrence was also
investigated.
Results
The inter-rater reliability of methods 2 and 4 was excellent (ICC of 0.829 and 0.807,
respectively). The correlation between MRI and pathological measurements was good
for method 4 (ICC of 0.611), however, all measurements recorded on MRI were 2–3 mm
larger than on pathology. No patients whose MRI-derived DOI was less than 5 mm suffered
nodal recurrence.
Conclusion
The MRI-derived DOI was valuable for the preoperative staging. The optimal measurement
method should be selected on a case-by-case basis.
Key Words
Abbreviations:
AJCC (American Joint Committee on Cancer), DOI (depth of invasion), ICC (intraclass correlation coefficient), MRI (magnetic resonance imaging), UICC (Union for International Cancer Control)To read this article in full you will need to make a payment
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Article Info
Publication History
Published online: September 26, 2018
Accepted:
August 14,
2018
Received in revised form:
August 6,
2018
Received:
June 25,
2018
Identification
Copyright
© 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.
