TY - JOUR
T1 - Role of CT and MR imaging in predicting optimal cytoreduction of newly diagnosed primary epithelial ovarian cancer
AU - Qayyum, Aliya
AU - Coakley, Fergus V.
AU - Westphalen, Antonio C.
AU - Hricak, Hedvig
AU - Okuno, William T.
AU - Powell, Bethan
PY - 2005/2
Y1 - 2005/2
N2 - To determine the relative accuracy of CT or MR imaging in the detection of inoperable tumor sites prior to cytoreductive surgery in a large series of patients with newly diagnosed primary epithelial ovarian cancer. One hundred thirty-seven women with newly diagnosed primary epithelial ovarian cancer underwent CT (n = 91) or MR imaging (n = 46) prior to cytoreductive surgery. The following imaging criteria were used to identify inoperable tumor sites: (1) peritoneal implants greater than 2 cm in maximum diameter in the porta hepatis, intersegmental fissure, gall bladder fossa, subphrenic space, gastrohepatic ligament, gastrosplenic ligament, lesser sac, or root of the small bowel mesentery; (2) retroperitoneal adenopathy greater than 2 cm in maximum diameter above the renal hila; (3) hepatic metastases or abdominal wall invasion. Imaging results were compared with operability at surgery. Cytoreductive surgery was suboptimal in 21 of the 137 (15%) patients. Sixteen of these patients had inoperable tumor on preoperative imaging, while one additional patient had apparently inoperable tumor on imaging but was optimally debulked at surgery. The sensitivity, specificity, positive predictive value, and negative predictive value of preoperative imaging for the prediction of suboptimal debulking were 76% (16/21), 99% (115/116), 94% (16/17), and 96% (115/120), respectively. CT and MR imaging were equally effective (P = 1.0) in the detection of inoperable tumor. Preoperative CT and MR imaging are equally accurate in the detection of inoperable tumor and the prediction of suboptimal debulking in newly diagnosed epithelial ovarian cancer. This suggests imaging may help select patients who might be more appropriately managed by neoadjuvant chemotherapy.
AB - To determine the relative accuracy of CT or MR imaging in the detection of inoperable tumor sites prior to cytoreductive surgery in a large series of patients with newly diagnosed primary epithelial ovarian cancer. One hundred thirty-seven women with newly diagnosed primary epithelial ovarian cancer underwent CT (n = 91) or MR imaging (n = 46) prior to cytoreductive surgery. The following imaging criteria were used to identify inoperable tumor sites: (1) peritoneal implants greater than 2 cm in maximum diameter in the porta hepatis, intersegmental fissure, gall bladder fossa, subphrenic space, gastrohepatic ligament, gastrosplenic ligament, lesser sac, or root of the small bowel mesentery; (2) retroperitoneal adenopathy greater than 2 cm in maximum diameter above the renal hila; (3) hepatic metastases or abdominal wall invasion. Imaging results were compared with operability at surgery. Cytoreductive surgery was suboptimal in 21 of the 137 (15%) patients. Sixteen of these patients had inoperable tumor on preoperative imaging, while one additional patient had apparently inoperable tumor on imaging but was optimally debulked at surgery. The sensitivity, specificity, positive predictive value, and negative predictive value of preoperative imaging for the prediction of suboptimal debulking were 76% (16/21), 99% (115/116), 94% (16/17), and 96% (115/120), respectively. CT and MR imaging were equally effective (P = 1.0) in the detection of inoperable tumor. Preoperative CT and MR imaging are equally accurate in the detection of inoperable tumor and the prediction of suboptimal debulking in newly diagnosed epithelial ovarian cancer. This suggests imaging may help select patients who might be more appropriately managed by neoadjuvant chemotherapy.
KW - CT
KW - Cytoreduction
KW - MRI
KW - Ovarian cancer
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U2 - 10.1016/j.ygyno.2004.06.054
DO - 10.1016/j.ygyno.2004.06.054
M3 - Article
C2 - 15661212
AN - SCOPUS:12344325535
SN - 0090-8258
VL - 96
SP - 301
EP - 306
JO - Gynecologic Oncology
JF - Gynecologic Oncology
IS - 2
ER -