دورية أكاديمية

Ultrasound Features Improve Diagnostic Performance of Ovarian Cancer Predictors in Distinguishing Benign and Malignant Ovarian Tumors.

التفاصيل البيبلوغرافية
العنوان: Ultrasound Features Improve Diagnostic Performance of Ovarian Cancer Predictors in Distinguishing Benign and Malignant Ovarian Tumors.
المؤلفون: Chen YN; Department of Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China., Ma F; Department of Ultrasonography, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China., Zhang YD; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China., Chen L; Department of PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China., Li CY; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China., Gong SP; Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. gsp2103@163.com.
المصدر: Current medical science [Curr Med Sci] 2020 Feb; Vol. 40 (1), pp. 184-191. Date of Electronic Publication: 2020 Mar 13.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Huazhong University of Science and Technology Country of Publication: China NLM ID: 101729993 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2523-899X (Electronic) Linking ISSN: 2523899X NLM ISO Abbreviation: Curr Med Sci Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Wuhan : Huazhong University of Science and Technology, [2018]-
مواضيع طبية MeSH: Biomarkers, Tumor/*metabolism , CA-125 Antigen/*metabolism , Carcinoma, Ovarian Epithelial/*diagnostic imaging , Membrane Proteins/*metabolism , Ovarian Neoplasms/*diagnostic imaging , WAP Four-Disulfide Core Domain Protein 2/*metabolism, Adult ; Algorithms ; Carcinoma, Ovarian Epithelial/metabolism ; Carcinoma, Ovarian Epithelial/pathology ; Diagnosis, Differential ; Female ; Humans ; Middle Aged ; Neoplasm Staging ; Ovarian Neoplasms/metabolism ; Ovarian Neoplasms/pathology ; Pregnancy ; ROC Curve ; Retrospective Studies ; Ultrasonography
مستخلص: To determine whether ultrasound features can improve the diagnostic performance of tumor markers in distinguishing ovarian tumors, we enrolled 719 patients diagnosed as having ovarian tumors at Nanfang Hospital from September 2014 to November 2016. Age, menopausal status, histopathology, the International Federation of Gynecology and Obstetrics (FIGO) stages, tumor biomarker levels, and detailed ultrasound reports of patients were collected. The area under the curve (AUC), sensitivity, and specificity of the bellow-mentioned predictors were analyzed using the receiver operating characteristic curve. Of the 719 patients, 531 had benign lesions, 119 had epithelial ovarian cancers (EOC), 44 had borderline ovarian tumors (BOT), and 25 had non-EOC. AUCs and the sensitivity of cancer antigen 125 (CA125), human epididymis-specific protein 4 (HE4), Risk of Ovarian Malignancy Algorithm (ROMA), Risk of Malignancy Index (RMI1), HE4 model, and Rajavithi-Ovarian Cancer Predictive Score (R-OPS) in the overall population were 0.792, 0.854, 0.856, 0.872, 0.893, 0.852, and 70.2%, 56.9%, 69.1%, 60.6%, 77.1%, 71.3%, respectively. For distinguishing EOC from benign tumors, the AUCs and sensitivity of the above mentioned predictors were 0.888, 0.946, 0.947, 0.949, 0.967, 0.966, and 84.0%, 79.8%, 87.4%, 84.9%, 90.8%, 89.1%, respectively. Their specificity in predicting benign diseases was 72.9%, 94.4%, 87.6%, 95.9%, 86.3%, 90.8%, respectively. Therefore, we consider biomarkers in combination with ultrasound features may improve the diagnostic performance in distinguishing malignant from benign ovarian tumors.
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فهرسة مساهمة: Keywords: Rajavithi-Ovarian Cancer Predictive Score; Risk of Malignancy Index; Risk of Malignancy Index model; Risk of Ovarian Malignancy Algorithm; cancer antigen 125; human epididymis-specific protein 4; ovarian masses
المشرفين على المادة: 0 (Biomarkers, Tumor)
0 (CA-125 Antigen)
0 (MUC16 protein, human)
0 (Membrane Proteins)
0 (WAP Four-Disulfide Core Domain Protein 2)
0 (WFDC2 protein, human)
تواريخ الأحداث: Date Created: 20200314 Date Completed: 20201023 Latest Revision: 20210110
رمز التحديث: 20240628
DOI: 10.1007/s11596-020-2163-7
PMID: 32166682
قاعدة البيانات: MEDLINE
الوصف
تدمد:2523-899X
DOI:10.1007/s11596-020-2163-7