title: Is MRI helpful in assessing the distance of the tumour from the internal os in patients with cervical cancer below FIGO Stage IB2?
abstract: OBJECTIVE
  To determine the ability of magnetic resonance imaging (MRI) in detecting tumour-free margins from the internal os (IO).
  
  
  METHODS
  A database search yielded 79 women with early-stage cervical cancer who underwent radical hysterectomy and preoperative MRI. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of MRI in assessment of ≤5 and >5 mm IO involvement were calculated with histopathological surgical specimen findings considered to be the reference standard. A main and subset analysis was performed. The subset analysis included only those patients who would have been considered for radical trachelectomy.
  
  
  RESULTS
  For predicting a distance between the tumour and the IO of ≤5 mm, MRI had a sensitivity of 73%, a specificity of 98.3%, a PPV of 95%, a NPV of 88.1%, and an accuracy of 89.8% for the main analysis, and sensitivity of 81.8%, a specificity of 93.2% a PPV of 69.2% a NPV of 96.5% and an accuracy of 91.4% for the subset analysis.
  
  
  CONCLUSIONS
  MRI has high specificity, NPV, and accuracy in detecting tumour from the IO, making MRI suitable for treatment planning in patients desiring trachelectomy to preserve fertility.
authors.affiliation: Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: Priya.bhosale@mdanderson.org.
authors.forename: P R
authors.initials: PR
authors.lastname: Bhosale
authors.affiliation: Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: R B
authors.initials: RB
authors.lastname: Iyer
authors.affiliation: Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: P
authors.initials: P
authors.lastname: Ramalingam
authors.affiliation: Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: K M
authors.initials: KM
authors.lastname: Schmeler
authors.affiliation: Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: W
authors.initials: W
authors.lastname: Wei
authors.affiliation: Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: R L
authors.initials: RL
authors.lastname: Bassett
authors.affiliation: Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: P T
authors.initials: PT
authors.lastname: Ramirez
authors.affiliation: Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
authors.forename: M
authors.initials: M
authors.lastname: Frumovitz
mesh_terms: D000328:Adult; D002584:Cervix Uteri / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000601:surgery; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D000072662:Margins of Excision; D060787:Neoplasm Grading; D011300:Preoperative Care / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology* / Q000601:surgery; D055815:Young Adult