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Cervical carcinoma: efficacy of thin-section oblique axial T2-weighted images for evaluating parametrial invasion.
- Source :
-
Abdominal imaging [Abdom Imaging] 1999 Sep-Oct; Vol. 24 (5), pp. 514-9. - Publication Year :
- 1999
-
Abstract
- Background: To investigate the efficacy of thin-section oblique axial T2-weighted images in the assessment of parametrial invasion by cervical carcinoma.<br />Methods: One hundred parametria of 50 patients with cervical carcinoma were evaluated with pathologic correlation. We compared the sensitivity, specificity, and diagnostic accuracy in the assessment of parametrial invasion by cervical carcinoma between axial T2-weighted images and thin-section oblique axial T2-weighted images.<br />Results: Thin-section oblique axial T2-weighted images provided accurate cross sections of the cervix with excellent detail and detected parametrial invasion more accurately than did axial T2-weighted images showing cross sections of the trunk. Although the sensitivity, specificity, and accuracy for parametrial invasion were 46.4%, 91.7%, and 79.0%, respectively, on axial T2-weighted images, the corresponding values were 67.9%, 97. 2%, and 89.0%, respectively, on thin-section oblique axial T2-weighted images. There were statistically significant differences in the sensitivity (p = 0.014), specificity (p = 0.046), and accuracy (p = 0.002) in detecting parametrial invasion between these two types of images.<br />Conclusions: Thin-section oblique axial T2-weighted images are useful for the assessment of parametrial invasion by cervical carcinoma.
- Subjects :
- Adenocarcinoma surgery
Adult
Aged
Aged, 80 and over
Carcinoma, Adenosquamous surgery
Carcinoma, Squamous Cell surgery
Female
Humans
Hysterectomy
Middle Aged
Neoplasm Invasiveness
Observer Variation
Reproducibility of Results
Retrospective Studies
Sensitivity and Specificity
Uterine Cervical Neoplasms surgery
Adenocarcinoma diagnosis
Carcinoma, Adenosquamous diagnosis
Carcinoma, Squamous Cell diagnosis
Magnetic Resonance Imaging methods
Pelvis pathology
Uterine Cervical Neoplasms diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 0942-8925
- Volume :
- 24
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Abdominal imaging
- Publication Type :
- Academic Journal
- Accession number :
- 10475940
- Full Text :
- https://doi.org/10.1007/s002619900552