scholarly journals Clinical utility of the risk of malignancy indices for preoperative differentiation between ovarian cancer and borderline ovarian tumor

2019 ◽  
Vol 154 ◽  
pp. 188
Author(s):  
J. Park
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tumor ◽  
Clinical Utility ◽  
Borderline Ovarian Tumor ◽  
Risk Of Malignancy

scholarly journals Mucinous borderline ovarian tumor versus invasive well-differentiated mucinous ovarian cancer: Difference in characteristics and outcomes

2019 ◽  
Vol 153 (2) ◽  
pp. 230-237 ◽  
Author(s):  
Koji Matsuo ◽  
Hiroko Machida ◽  
Rachel S. Mandelbaum ◽  
Brendan H. Grubbs ◽  
Lynda D. Roman ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tumor ◽  
Borderline Ovarian Tumor ◽  
Well Differentiated

scholarly journals Diagnostic extended usefulness of RMI: comparison of four risk of malignancy index in preoperative differentiation of borderline ovarian tumors and benign ovarian tumors

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Shuang Zhang ◽  
Shan Yu ◽  
Wenying Hou ◽  
Xiaoying Li ◽  
Chunping Ning ◽  
...  
Keyword(s):  
Ovarian Tumor ◽  
Menopausal Status ◽  
Area Under The Curve ◽  
Ovarian Tumors ◽  
Borderline Ovarian Tumor ◽  
Cancer Antigen 125 ◽  
Borderline Ovarian Tumors ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index ◽  
Benign Ovarian Tumors

Abstract Background This study aimed to examine the performance of the four risk of malignancy index (RMI) in discriminating borderline ovarian tumors (BOTs) and benign ovarian masses in daily clinical practice. Methods A total of 162 women with BOTs and 379 women with benign ovarian tumors diagnosed at the Second Affiliated Hospital of Harbin Medical University from January 2012 to December 2016 were enrolled in this retrospective study. Also, we classified these patients into serous borderline ovarian tumor (SBOT) and mucinous borderline ovarian tumor (MBOT) subgroup. Preoperative ultrasound findings, cancer antigen 125 (CA125) and menopausal status were reviewed. The area under the curve (AUC) of receiver operator characteristic curves (ROC) and performance indices of RMI I, RMI II, RMI III and RMI IV were calculated and compared for discrimination between benign ovarian tumors and BOTs. Results RMI I had the highest AUC (0.825, 95% CI: 0.790–0.856) among the four RMIs in BOTs group. Similar results were found in SBOT (0.839, 95% CI: 0.804–0.871) and MBOT (0.791, 95% CI: 0.749–0.829) subgroups. RMI I had the highest specificity among the BOTs group (87.6, 95% CI: 83.9–90.7%), SBOT (87.6, 95% CI: 83.9–90.7%) and MBOT group (87.6, 95% CI: 83.9–90.7%). RMI II scored the highest overall in terms of sensitivity among the BOTs group (69.75, 95% CI: 62.1–76.7%), SBOT (74.34, 95% CI: 65.3–82.1%) and MBOT (59.18, 95% CI: 44.2–73.0%) group. Conclusion Compared to other RMIs, RMI I was the best-performed method for differentiation of BOTs from benign ovarian tumors. At the same time, RMI I also performed best in the discrimination SBOT from benign ovarian tumors.

scholarly journals Early-Stage Ovarian Malignancy Score versus Risk of Malignancy Indices: Accuracy and Clinical Utility for Preoperative Diagnosis of Women with Adnexal Masses

Medicina ◽  
2020 ◽  
Vol 56 (12) ◽  
pp. 702
Author(s):  
Phichayut Phinyo ◽  
Jayanton Patumanond ◽  
Panprapha Saenrungmuaeng ◽  
Watcharin Chirdchim ◽  
Tanyong Pipanmekaporn ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Clinical Utility ◽  
Early Stage ◽  
Ca 125 ◽  
Lower Sensitivity ◽  
Ovarian Malignancy ◽  
Threshold Probability ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Early Stage Ovarian Cancer

Background and objectives: To compare the diagnostic accuracy and clinical utility of the Early-stage Ovarian Malignancy (EOM) score with the Risk of Malignancy Index (RMI) in the presurgical assessment of women presenting with adnexal masses. Materials and Methods: A secondary analysis was carried out in a retrospective cohort of women who presented with an adnexal mass and were scheduled for surgery at Phrapokklao Hospital between September 2013 and December 2017. The clinical characteristics, ultrasonographic features of the masses, and preoperative CA-125 levels were recorded. The EOM and the RMI score were calculated and compared in terms of accuracy and clinical utility. Decision curve analysis (DCA), which examined the net benefit (NB) of applying the EOM and the RMI in practice at a range of threshold probabilities, was presented. Results: In this study, data from 270 patients were analyzed. Fifty-four (20.0%) women in the sample had early-stage ovarian cancer. All four RMI versions demonstrated a lower sensitivity for the detection of patients with early-stage ovarian cancer compared to an EOM score ≥ 15. An EOM ≥ 15 resulted in a higher proportion of net true positive or NB than all versions of the RMIs from a threshold probability of 5% to 30%. Conclusions: It also showed a higher capability to reduce the number of inappropriate referrals than the RMIs at a threshold probability between 5% and 30%. The EOM score showed higher diagnostic sensitivity and has the potential to be clinically more useful than the RMIs to triage women who present with adnexal masses for referral to oncologic gynecologists. Further external validation is required to support our findings.

scholarly journals ІМУНОГІСТОХІМІЧНІ КРІТЕРІАЛЬНО-ВАЖЛИВІ ПОКАЗНИКИ ЛІМФАНГІОГЕНЕЗУ РАКУ ЯЄЧНИКІВ

2020 ◽  
Vol 24 (3-4) ◽  
pp. 6-10
Author(s):  
С.М. Карташов ◽  
Т.В. Базарінська ◽  
І.Ю. Багмут ◽  
С.М. Граматюк
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tumor ◽  
Cancer Metastasis ◽  
Comparison Group ◽  
P53 Protein ◽  
Morphological Characteristics ◽  
Disease Stage ◽  
Borderline Ovarian Tumor ◽  
Protein Activity ◽  
Morphological Studies

An in-depth study of the biology of tumor growth will help to identify factors that allow us to understand the pathogenetic mechanisms of the development of ovarian cancer metastasis and progression, as well as to become a theoretical basis for developing new approaches to the treatment of this disease. The aim of this study was to determine immunohistochemical and endothelial criteria for ovarian cancer. The postoperative samples of ovarian tumor tissues were divided into 3 groups: comparison group - ovarian cancer; main group - borderline ovarian tumor; benign ovarian tumors. The study was conducted according to the FIGO 2009 classification. The International Histological Classification of WHO 2013 Female Genital Tumors was used for morphological characteristics. Level of growth factors - sVEGF-A was performed by ELISA using standard test systems (BenderMedSystem, Austria). IGC material studies were performed on serial paraffin sections using a standard method with murine monoclonal antibodies to p53 (clone D0-7. Dilution 1: 100. "Dako"). Ventana Medical Systems, Inc. was used as the detection system. Positive and negative control reactions were performed. The label index (MI) was used to evaluate p53 nuclear expression. WCIF ImageJ and Aperio Image Scope were used to estimate the number and degree of cell staining. Statistical analysis of the obtained data was performed using Statistica 6.0. The results of morphological studies of ovarian cancer showed that in our study patients with serous cancer predominated - 78.5%. The second most frequently diagnosed cancer was undifferentiated. In the second stage of our study, we conducted a comparative analysis of the concentration of p53 in the serum and tissue of patients in the study groups, which showed the existence of significant differences. In patients of the POY and DOY groups, both total and local p53 protein activity were significantly higher than in the comparison group, p <0.05. There was a positive correlation between p53 protein activity in serum and ovarian tissue. Serum VEGF A scores were statistically significantly correlated with the disease stage: Spearman rank correlation coefficient rho = 0.30; 95% CI = 0.02 - 0.536, p <0.05. There were no correlations with patients' age, histological subtype, and degree of tumor differentiation. Considering the results of our study, we can conclude that the criterion-important indicators of QA are serum levels of p53 and the index of serum VEGF A, which is confirmed by the results of ROC analysis p = 0.0026, and indicates a good informativeness of the method.

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