- 作者：Gretchen Glaser ; Michelle Torres ; Bohyun Kim ; Giovanni Aletti ; Amy Weaver ; Andrea Mariani ; Lynn Hartmann ; William Cliby
- 关键词：Ovarian neoplasms ; Outcome assessment ; Radiologic imaging ; Cytoreduction
- 刊名：Gynecologic Oncology
- 出版年：2013
- 出版时间：August, 2013
- 年：2013
- 卷：130
- 期：2
- 页码：280-283
- 全文大小：223 K
Background
High tumor dissemination (HTD) is a major risk factor for serious morbidity after primary ovarian cancer (OC) surgery, particularly in medically compromised patients. We performed a pilot study of whether CT findings could predict extent of disease and surgical complexity necessary in advanced OC.Methods
Preoperative CT images for patients with advanced OC from 1997-2003 were evaluated for rigorously defined disease-related findings and compared to both the findings at exploration and the required surgical procedures. Associations were assessed by the chi-square test.
Results
Forty-six cases met inclusion criteria. Mean age was 66.4 y, and 76 % had residual disease (RD) 1 cm or less. CT and surgical findings correlated (sensitivity/specificity) as follows: diaphragm disease (48 % /100 % ); surface liver (100 % /93 % ); omental cake (72 % /65 % ); any sigmoid involvement (54 % /100 % ); ascites (44 % /100 % ); extra-pelvic large bowel involvement (29 % /91 % ). When diaphragm disease and omental cake were present, HTD was found in all cases (positive predictive value and specificity = 100 % , sensitivity 48 % ). For CT findings of liver, large bowel and spleen involvement there was a strong trend toward resection (P = 0.001, P = 0.06 and P = 0.06, respectively).
Conclusions
The findings of diaphragm disease and omental cake on CT scan are highly predictive for high tumor dissemination (HTD) and thus likelihood of extensive surgery required to achieve low residual disease. In addition, multiple CT findings correlate strongly with the need for higher surgical complexity which should facilitate preoperative planning and/or triage to specialized centers. These preliminary data suggest specific CT findings can be used to optimize treatment planning.