Abstract

To assess the diagnostic performance of conventional and DW-MRI parameters in the detection of residual tumor in locally advanced cervical cancer (LACC) patients treated with neoadjuvant chemoradiotherapy (nCRT) and radical surgery METHODS: Between October 2010 and June 2014, 88 patients with histologically documented cervical cancer (FIGO stage IB2-IVA) were prospectively included in the study. Maximum tumor diameters (maxTD), tumor volume (TV), DWI signal intensity (SI), and ADCmean were evaluated at MRI after nCRT. Histology was the reference standard. Treatment response was classified as complete (CR) or partial (PR). Comparisons were made with Mann-Whitney, χ2, and Fisher's exact tests. ROC curves were generated for variables to evaluate diagnostic ability to predict PR and to determine the best cutoff value to predict PR. For each diagnostic test, sensitivity, specificity, and accuracy were calculated. TV and maxTD were significantly smaller in the CR than in the PR group (p < 0.001; p = 0.001) and showed, respectively, sensitivity of 68.8%, specificity of 72.5%, and accuracy of 70.5% and of 47.9, 87.5, and 65.9% in predicting PR. High DWI SI was more frequent in the PR (81.8%) than in the CR group (55.3%) (p < 0.009). ADCmean was higher in the CR (1.3 × 10-3mm2/s, range 0.8-1.6 × 10-3mm2/s) than in the PR group (1.1 × 10-3mm2/s; range 0.7-1.8 × 10-3mm2/s) (p < 0.018). High DWI SI showed sensitivity, specificity, and accuracy of 81.8, 44.7, and 64.6% in predicting PR. The ADCmean measurement increased sensitivity, specificity, and accuracy to 75.0, 76.2, and 75.4%. Conventional and DW-MRI is useful for predicting PR after nCRT in LACC. The ADCmean value ≤ 1.1 × 10-3mm2/s was the best cutoff to predict PR. • Conventional and DW-MRI is useful for predicting PR after nCRT in LACC. • The combination of T2 sequences, DW-MRI, and the quantitative measurement of ADC mean showed the best results in predicting pathological PR. • The best cutoff for predicting pathological PR was ADCmeanvalue ≤ 1.1 × 10-3mm2/s.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.