Back to Search
Start Over
Prediction of suboptimal cytoreduction of epithelial ovarian carcinoma by preoperative computed tomography.
- Source :
-
European journal of gynaecological oncology [Eur J Gynaecol Oncol] 2010; Vol. 31 (1), pp. 44-9. - Publication Year :
- 2010
-
Abstract
- In an aim to evaluate the diagnostic efficacy of preoperative abdominal-pelvic CT for the prediction of suboptimal cytoreduction of epithelial ovarian carcinoma (EOC) at primary surgery, CT scans of 48 patients who underwent primary surgery for EOC were retrospectively analyzed. The presence of at least one of the following CT findings: multiple implants > 1 cm in maximum diameter in the mesenteria of the small or large intestines, porta hepatis or intersegmental fissure or on the hepatic surface, diaphragmatic peritoneum, gastrohepatic or gastrosplenic ligaments or the extension of tumor infiltration > 2 cm on the omentum towards the spleen or stomach or the intestines encased by the tumor > 2 cm, diffuse peritoneal thickening or invasion of the lateral pelvic wall > 1 cm or multiple lymph nodes > 1 cm at the cardiophrenic and suprarenal levels were accepted as the critical markers for predicting suboptimal cytoreduction. Suboptimal surgery, defined as leaving a residual tumor mass > 1 cm, was determined in 18 (37.5%) patients. CT predicted suboptimal cytoreduction with 83.3% (15/18) sensitivity, 90% (27/30) specificity and 87.5% (42/48) accuracy. PPV and NPV values were 83.3% (15/18) and 90% (27/30), respectively. These results suggested that preoperative CT could successfully predict suboptimal surgery in patients with EOC.
- Subjects :
- Abdominal Neoplasms diagnostic imaging
Abdominal Neoplasms secondary
Adult
Aged
Carcinoma surgery
Contrast Media
Female
Humans
Lung Neoplasms diagnostic imaging
Lung Neoplasms secondary
Middle Aged
Ovarian Neoplasms pathology
Ovarian Neoplasms surgery
Predictive Value of Tests
Radiography, Abdominal
Sensitivity and Specificity
Young Adult
Carcinoma diagnostic imaging
Carcinoma secondary
Ovarian Neoplasms diagnostic imaging
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 0392-2936
- Volume :
- 31
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- European journal of gynaecological oncology
- Publication Type :
- Academic Journal
- Accession number :
- 20349780