title: Cervical carcinoma: computed tomography and magnetic resonance imaging for preoperative staging.
abstract: OBJECTIVE
  To assess the accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) in the evaluation of invasive cervical cancer.
  
  
  METHODS
  Seventy-nine women with untreated cervical cancer underwent pre-treatment MRI (n = 71) and/or CT (n = 37) within 4 weeks of surgical evaluation. Twenty-nine women had both MRI and CT. Images were evaluated for tumor detection, size, stromal invasion, local extension, and nodal metastases.
  
  
  RESULTS
  Tumor size was evaluated accurately by MRI, with a correlation coefficient of 0.93. Magnetic resonance estimates of tumor size were within 0.5 cm of the surgical sample in 64 of 69 women (93%). Magnetic resonance was 88% accurate evaluating the presence of stromal invasion and 78% accurate for depth of stromal invasion. Computed tomography could not evaluate tumor size or stromal invasion because it could not distinguish cancer from the surrounding normal cervical tissue. In evaluating stage of disease, MRI had an accuracy of 90%, compared with 65% for CT (P < .005). Magnetic resonance imaging was more accurate than CT (94 versus 76%, P < .005) in assessing parametrial invasion. Both modalities were comparable in evaluating lymph node metastases (86% each). In determining operative candidates (stage I and minimal IIA), MRI was 94% accurate, compared with 76% for CT (P < .005).
  
  
  CONCLUSIONS
  Compared with CT, MRI offered significantly improved evaluation of tumor size, stromal invasion, and local and regional extent of disease in pre-treatment imaging for cervical cancer.
authors.affiliation: Department of Obstetrics, Gynecology, and Reproductive Science, UCSF/Mount Zion Cancer Center, School of Medicine, USA.
authors.forename: L L
authors.initials: LL
authors.lastname: Subak
authors.forename: H
authors.initials: H
authors.lastname: Hricak
authors.forename: C B
authors.initials: CB
authors.lastname: Powell
authors.forename: L
authors.initials: L
authors.lastname: Azizi
authors.forename: J L
authors.initials: JL
authors.lastname: Stern
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005188:False Negative Reactions; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D016014:Linear Models; D008207:Lymphatic Metastasis; D008279:Magnetic Resonance Imaging; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D011300:Preoperative Care; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed; D002583:Uterine Cervical Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology*