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Combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging to predict neoadjuvant chemotherapy effect in FIGO stage IB2–IIA2 cervical cancers

  • ABDOMINAL RADIOLOGY
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Abstract

Purpose

To explore the value of histogram analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative parameters and apparent diffusion coefficient (ADC) values in predicting the neoadjuvant chemotherapy (NACT) response for cervical cancers.

Methods

Sixty-three patients with pathologically proved stage IB2–IIA2 cervical cancer from March 2013 to January 2017 were retrospectively analyzed. They were divided into two groups on the basis of therapeutic response: the significant response (SR) group, which contains complete response patients and partial response patients, and nonsignificant response (non-SR) group, which contains progressive diseases and stable diseases. Clinical characteristics, DCE-MRI parameters (Ktrans, Kep, Ve), and ADC values before NACT were analyzed and compared between the two groups.

Results

SR group and non-SR group were documented in 35 and 28 patients. The mean Ktrans value, 90th percentile Ktrans value, maximal Ktrans value, and 90th percentile ADC value of tumors in SR were significantly higher than those in non-SR group (P = 0.012, P = 0.022, P = 0.005, P = 0.033, respectively), and the mean Ve value and 10th percentile Ve value of tumors were significantly lower in SR group (P = 0.041, P = 0.033, respectively). Kep values did not significantly differ between SR and non-SR. The 90th percentile Ktrans value combined with the 90th percentile ADC value had the highest area under the curve at 0.740 (P = 0.003) to predict NACT effectiveness.

Conclusion

Histogram analysis of DCE-MRI multi-parameters combined with ADC values may serve as sensitive indicators for predicting NACT effectiveness in cervical cancers.

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Funding

This research received no specific grant from any funding agency in the public, commercial, or not for profit sectors.

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Author notes

  1. Aining Zhang and Jiacheng Song contributed equally to the study.

Authors and Affiliations

  1. Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210029, China

    Aining Zhang, Jiacheng Song, Zhanlong Ma & Ting Chen

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  1. Aining Zhang
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  2. Jiacheng Song
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Correspondence to Zhanlong Ma.

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This is a retrospective study. The First Affiliated Hospital of Nanjing Medical University Research Ethics Committee has confirmed that no ethical approval is required.

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Zhang, A., Song, J., Ma, Z. et al. Combined dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted imaging to predict neoadjuvant chemotherapy effect in FIGO stage IB2–IIA2 cervical cancers. Radiol med 125, 1233–1242 (2020). https://doi.org/10.1007/s11547-020-01214-x

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