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Erschienen in: European Radiology 12/2016

19.03.2016 | Oncology

MR imaging features and staging of neuroendocrine carcinomas of the uterine cervix with pathological correlations

verfasst von: Xiaohui Duan, Xiaohua Ban, Xiang Zhang, Huijun Hu, Guozhao Li, Dongye Wang, Charles Qian Wang, Fang Zhang, Jun Shen

Erschienen in: European Radiology | Ausgabe 12/2016

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Abstract

Objective

To determine MR imaging features and staging accuracy of neuroendocrine carcinomas (NECs) of the uterine cervix with pathological correlations.

Methods

Twenty-six patients with histologically proven NECs, 60 patients with squamous cell carcinomas (SCCs), and 30 patients with adenocarcinomas of the uterine cervix were included. The clinical data, pathological findings, and MRI findings were reviewed retrospectively. MRI features of cervical NECs, SCCs, and adenocarcinomas were compared, and MRI staging of cervical NECs was compared with the pathological staging.

Results

Cervical NECs showed a higher tendency toward a homogeneous signal intensity on T2-weighted imaging and a homogeneous enhancement pattern, as well as a lower ADC value of tumour and a higher incidence of lymphadenopathy, compared with SCCs and adenocarcinomas (P < 0.05). An ADC value cutoff of 0.90 × 10-3 mm2/s was robust for differentiation between cervical NECs and other cervical cancers, with a sensitivity of 63.3 % and a specificity of 95 %. In 21 patients who underwent radical hysterectomy and lymphadenectomy, the overall accuracy of tumour staging by MR imaging was 85.7 % with reference to pathology staging.

Conclusion

Homogeneous lesion texture and low ADC value are likely suggestive features of cervical NECs and MR imaging is reliable for the staging of cervical NECs.

Key Points

Cervical NECs show a tendency of lesion homogeneity and lymphadenopathy
Low ADC values are found in cervical NECs
MRI is an accurate imaging modality for the cervical NEC staging
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Metadaten
Titel
MR imaging features and staging of neuroendocrine carcinomas of the uterine cervix with pathological correlations
verfasst von
Xiaohui Duan
Xiaohua Ban
Xiang Zhang
Huijun Hu
Guozhao Li
Dongye Wang
Charles Qian Wang
Fang Zhang
Jun Shen
Publikationsdatum
19.03.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 12/2016
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-016-4327-1

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