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Cancer Imaging

Open Access

Role of high resolution MR in assessment of cervical uterine carcinoma: staging, treatment planning and correlation with histopathology findings

  • MF Grana1Email author,
  • M Nazar1,
  • F Saguier1,
  • M Di Cecco1,
  • F Troncoso1,
  • E Eyheremendy1,
  • S De Luca1,
  • L Tolkachier1 and
  • M Wirtz1
Cancer Imaging201515(Suppl 1):P43

Published: 2 October 2015


Cervical CancerLearn ObjectiveHistopathology FindingFigo StagingMyometrial Invasion

Learning objectives

Review HRMRI techniques for pelvic evaluation of cervical uterine carcinoma using phased-array coil.

Discuss the accuracy of high resolution MR for diagnosis and staging of cervical uterine carcinoma

Discuss the correlation between MR findings, FIGO staging and treatment strategy

Discuss the correlation between MR features and histopathology findings in resected tumours

Content organisation

  • Uterine cervical carcinoma

  • FIGO staging

  • High resolution MRI

    Dedicated protocol

    Primary tumour detection

    Myometrial invasion

    Lymph node involvement

    Parametrial invasion

    Bladder and rectal invasion

    Vaginal involvement.

  • Treatment strategies

  • Histopathathology correlation


Cervical cancer remains a major threat to women's health worldwide. MR is the imaging modality of choice to depict the primary tumour and assess local extent. Comparing the radiological findings with the postoperative histological reports, high resolution MR with a dedicated protocol demonstrated to be useful for primary tumour detection and for the assessment of myometrium invasion, lymph node commitment, parametrium invasion, bladder and rectal infiltration and vaginal involvement. This ability of MRI to demonstrate accurately the local extension of the tumour in patients with cervical cancer has become a useful tool to identify prognostic risk factors such as the depth of the infiltration, the tumour volume and the commitment of the adjacent structures. A correct evaluation of these factors is crucial for choosing and planning the most appropriate treatment.

Authors’ Affiliations

Hospital Aleman, Buenos Aires, Argentina


© Grana et al. 2015

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.