NewsRx.com
October 15, 2009
A new study, 'Role of CT scan-based and clinical evaluation in the preoperative prediction of optimal cytoreduction in advanced ovarian cancer: a prospective trial,' is now available. "In advanced ovarian cancer, maximal efforts have to be attemptedto achieve optimal cytoreduction, as this represents the keystone in the therapeutic management. This large, prospective study aims at investigating the role of computed tomography (CT) scan in predicting the feasibility of optimal cytoreduction in ovarian cancer," researchers in Campobasso, Italy report (see also Ovarian Cancer Prevention).
"A total of 195 consecutive patients with clinical/radiographic suspicion of advanced ovarian/peritoneal cancer were enrolled at the Gynecologic Oncology Unit, Catholic University of Rome and Campobasso, Italy. Preoperative CT scans were performed with a high-speed scanner (CT Hi Speed Nx/i Pro; 2-slice; GE Medical System). All patients underwent standard laparotomy, and maximal surgical effort was attempted. The following CT parameters were used: peritoneal thickening, peritoneal implants >2 cm, bowel mesentery involvement, omental cake, pelvic sidewall involvement and/or hydroureter, suprarenal aortic lymph nodes >1 cm, infrarenal aortic lymph nodes >2 cm, superficial liver metastases >2 cm and/or intraparenchimal liver metastases any size, large volume ascites (>500 ml). Clinical data included were age, Ca125 serum levels, and ECOG-PS. Radiographic and clinical features exhibiting a specificity >75%, a positive and negative predictive value >50%, an accuracy >60% in predicting surgical outcome were assigned a point value of 2. With this scoring system, a predictive index (PI) was calculated for each patient. The PI scores ranged from 0 to 6, and from 0 to 8, in Model 1 (including only radiographic parameters) and in Model 2 (including radiographic and clinical data). The AUC was 0.78+0.035 in Model 1, and 0.81+0.031 in Model 2. Therefore, the addition of ECOG-PS data led to the improvement of the diagnostic performances (z=2.41, P-value <0.05)," wrote G. Ferrandina and colleagues, Catholic University, Division of Gynecologic Oncology.
The researchers concluded: "Computed scan still represents a valid tool to predict ovarian cancer optimal cytoreduction; the predictive ability of a CT scan-based model is improved by integrating ECOG-PS data."
Ferrandina and colleagues published their study in British Journal of Cancer (Role of CT scan-based and clinical evaluation in the preoperative prediction of optimal cytoreduction in advanced ovarian cancer: a prospective trial. British Journal of Cancer, 2009;101(7):1066-73).
For additional information, contact G. Ferrandina, Catholic University of the Sacred Heart, Catholic University of the Sacred Heart, Division of Gynecologic Oncology, Campobasso, Campobasso, Italy.
Publisher contact information for the British Journal of Cancer is: Nature Publishing Group, 345 Park Avenue South, New York, NY 10010-1707, USA.
Keywords: Italy, Campobasso, Ovarian Cancer Prevention, Clinical Trial Research, Gynecology, Laparotomy, Oncology, Ovarian Cancer, Ovarian Carcinoma, Surgery, Therapy, Treatment, Women's Health.
This article was prepared by Women's Health Weekly editors from staff and other reports. Copyright 2009, Women's Health Weekly via NewsRx.com.
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