Journals / Journal of Surgery and Medicine / 2022 / Cilt: 6 - Sayı: 4

Serum markers, morphological index, RMI, and ROMA in preoperative diagnosis of ovarian cancer

Pages
465–469
Publication Date
2022-04-01
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Results: Each of the CA 125 (P = 0.002), HE4 (P

📌 3 Key Takeaways

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Objective & Hypothesis:Background/Aim: Ovarian cancer is the second most common gynecologic malignancy worldwide and is the deadliest among gynecological cancers.
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Key Findings & Data:Although CA 125 is still the most used tumor marker, it cannot detect early-stage ovarian cancer.
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Conclusion & Impact:Results: Each of the CA 125 (P = 0.002), HE4 (P
🔬Design:Research Article
📍Scope:2016 Verileri
⚙️Variables:Ovarian cancer · Pelvic mass · RMI

Abstract

Background/Aim: Ovarian cancer is the second most common gynecologic malignancy worldwide and is the deadliest among gynecological cancers. It is important that this cancer, which is usually diagnosed in advanced stages, is referred to a gynecologist oncologist without delay. An ideal screening method does not yet exist. Although CA 125 is still the most used tumor marker, it cannot detect early-stage ovarian cancer. Also, CA 125 is not specific for ovarian malignancy. Therefore, new serum markers, such as HE4, and more complex algorithms, like ROMA and RMI, have emerged. Here we evaluate the preoperative potential of patients with adnexal mass to have a malignant or benign mass with morphological index, CA 125, HE4, RMI, and ROMA tests. Methods: This study is a prospective cohort study. A power analysis was done before starting the study. The sample size was at least 80 when the Type I error was set at 0.05, and the confidence interval was 95%. We included into the study 84 patients admitted to our clinic because of pelvic mass and underwent operation between March 2016 and October 2018. To homogenize the benign and malignant groups, 42 patients were collected from each group. CA 125 and HE4 levels of the samples were studied by the electrochemiluminescence method. ROMA and RMI values were calculated, and the data were entered into SPSS. Data were analyzed using SPSS 22.0 statistical package program. Results: Each of the CA 125 (P = 0.002), HE4 (P

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Cite This Article

BASTEMUR, A. G., ÇIPLAK, B., MELEKOĞLU, R., TOPRAK, S., KOÇ, C., ŞAHİN, E. A., KÖLELİ, I., ŞAHİN, H., YILMAZ, E. (2022). Serum markers, morphological index, RMI, and ROMA in preoperative diagnosis of ovarian cancer. Journal of Surgery and Medicine, Cilt: 6 - Sayı: 4, 465–469. https://ajindex.com/articles/779673

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