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DOI 10.1159/000430858

Медицинская библиотека · Oncology research and treatment · 2015

The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictive Marker of Peritoneal Dissemination in Epithelial Ovarian Cancer Patients.

Ikeda Yuji, Hasegawa Kosei, Kurosaki Akira, Miyara Akiko, Hanaoka Tatsuya, Shintani Daisuke, Imai Yuichi, Nishikawa Tadaaki, Oda Katsutoshi, Fujiwara Keiichi

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Аннотация

BACKGROUND

This study aimed to determine the efficacy of the risk of ovarian malignancy algorithm (ROMA), calculated using the carbohydrate antigen 125 (CA125) and human epididymis protein 4 (HE4) levels and the menopausal status, as a predictor of peritoneal dissemination in ovarian cancer.

METHODS

The CA125 and HE4 levels and the ROMA were compared between ovarian cancer patients (n = 122) with or without peritoneal dissemination. The sensitivity, specificity, positive predictive value, and negative predictive value were calculated, and the results were compared with those of computed tomography (CT).

RESULTS

The CA125, HE4, and ROMA values differed significantly depending on the presence of peritoneal dissemination (p < 0.0001). The cut-off values were 181 U/ml for CA125, 161 pmol/ml for HE4, 44% for the ROMA (premenopausal), and 86% for the ROMA (postmenopausal). Among these markers, the ROMA (premenopausal) was the strongest predictor of peritoneal dissemination, with a specificity of 85.0% and a positive predictive value of 81.3%. In addition, the detection rates of small disseminations with less than 2 cm in diameter for the ROMA (93%) and HE4 (60%) were superior to that of CT (53%).

CONCLUSIONS

The ROMA was a significant predictor of peritoneal dissemination and may be superior to CT for the detection of patients with small disseminations.

Для цитирования: Ikeda Yuji, Hasegawa Kosei, Kurosaki Akira, Miyara Akiko, Hanaoka Tatsuya, Shintani Daisuke, Imai Yuichi, Nishikawa Tadaaki, Oda Katsutoshi, Fujiwara Keiichi. The Risk of Ovarian Malignancy Algorithm (ROMA) as a Predictive Marker of Peritoneal Dissemination in Epithelial Ovarian Cancer Patients.. Oncology research and treatment. 2015. DOI: 10.1159/000430858.

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