Diagnostic value of MRI in ovarian masses detection and characterization

ObjectivesTo assess the value of conventional, Doppler and contrast-enhanced ultrasonography (CEUS) (conventional ultrasonography (US), Doppler US and CEUS) for diagnosing ovarian cancer.DesignSystematic review and meta-analysis.Data sourcesPubMed, Embase and the Cochrane Library were conducted for studies published until October 2021.Eligibility criteriaStudies assessed the diagnostic value of conventional US, Doppler US or CEUS for detecting ovarian cancer, with no restrictions placed on published language and status.Data extraction and synthesisThe study selection and data extraction were performed by two independent authors. The sensitivity, specificity, positive and negative likelihood ratio (PLR and NLR), diagnostic OR (DOR) and area under the receiver operating characteristic curve (AUC) were pooled using the bivariate generalised linear mixed model and random effects model.ResultsThe meta-analysis included 72 studies and involved 9296 women who presented with ovarian masses. The pooled sensitivity, specificity, PLR, NLR, DOR and AUC for conventional US were 0.91 (95% CI: 0.87 to 0.94) and 0.87 (95% CI: 0.82 to 0.91), 6.87 (95% CI: 4.98 to 9.49) and 0.10 (95% CI: 0.07 to 0.15), 57.52 (95% CI: 36.64 to 90.28) and 0.95 (95% CI: 0.93 to 0.97), respectively. The sensitivity, specificity, PLR, NLR, DOR and AUC for Doppler US were 0.93 (95% CI: 0.91 to 0.95) and 0.85 (95% CI: 0.80 to 0.89), 6.10 (95% CI: 4.59 to 8.11) and 0.08 (95% CI: 0.06 to 0.11), 61.76 (95% CI: 39.99 to 95.37) and 0.96 (95% CI: 0.94 to 0.97), respectively. The pooled sensitivity, specificity, PLR, NLR, DOR and AUC for CEUS were 0.97 (95% CI: 0.92 to 0.99) and 0.92 (95% CI: 0.85 to 0.95), 11.47 (95% CI: 6.52 to 20.17) and 0.03 (95% CI: 0.01 to 0.09), 152.11 (95% CI: 77.77 to 297.51) and 0.99 (95% CI: 0.97 to 0.99), respectively. Moreover, the AUC values for conventional US (p=0.002) and Doppler US (p=0.005) were inferior to those of CEUS.ConclusionsConventional US, Doppler US and CEUS have a relatively high differential diagnostic value for differentiating between benign and malignant ovarian masses. The diagnostic performance of CEUS was superior to that of conventional US and Doppler US.

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Diagnostic Value of the Neutrophil/Lymphocyte Ratio, Platelet/Lymphocyte Ratio, and Thrombocytosis in the Preoperative Investigation of Ovarian Masses

Revista Brasileira de Ginecologia e Obstetrícia / RBGO Gynecology and Obstetrics ◽

10.1055/s-0040-1712991 ◽

2020 ◽

Vol 42 (07) ◽

pp. 397-403

Author(s):

Adriana Yoshida ◽

Luís Otavio Sarian ◽

Marcos Marangoni ◽

Isis Caroline Firmano ◽

Sophie Françoise Derchain

Keyword(s):

Clinical Utility ◽

Complete Blood Count ◽

Diagnostic Value ◽

Tertiary Hospital ◽

Cancer Antigen 125 ◽

Platelet To Lymphocyte Ratio ◽

Decision Curve Analysis ◽

Neutrophil Lymphocyte Ratio ◽

Lymphocyte Ratio ◽

Ovarian Masses

Abstract Objective To evaluate the diagnostic accuracy of cancer antigen 125 (CA125) and complete blood count (CBC) parameters, such as the neutrophil to lymphocyte ratio (NLR), the platelet to lymphocyte ratio (PLR), and thrombocytosis in patients with ovarian masses. Methods The present is a retrospective study conducted at a single tertiary hospital from January 2010 to November 2016. We included consecutive women referred due to suspicious adnexal masses. The CBC and CA125 were measured in the serum of 528 women with ovarian masses before surgery or biopsy. We evaluated the diagnostic performance of the NLR, PLR, platelets (PLTs), CA125, and the associations between them. We tested the clinical utility of the CBC parameters and CA125 in the discrimination of ovarian masses through decision curve analysis (DCA). Results The best balance between sensitivity and specificity was obtained by the associations of CA125 or PLTs ≥ 350/nL, with 70.14% and 71.66%, CA125 or PLTs ≥ 400/nL, with 67.30% and 81.79%, CA125 or PLR, with 76.3% and 64.87%, and CA125 or NLR, with 71.09% and 73.89% respectively. In the DCA, no isolated CBC parameter presented a higher clinical utility than CA125 alone. Conclusion We showed that no CBC parameter was superior to CA125 in the prediction of the malignancy of ovarian tumors in the preoperative scenario.

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Biomarker-based early detection of epithelial ovarian cancer based on a five-protein signature in patient’s plasma – a prospective trial

BMC Cancer ◽

10.1186/s12885-021-08682-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

A. Hasenburg ◽

D. Eichkorn ◽

F. Vosshagen ◽

E. Obermayr ◽

A. Geroldinger ◽

...

Keyword(s):

Ovarian Cancer ◽

Regression Model ◽

Plasma Levels ◽

Prospective Trial ◽

Predictive Marker ◽

Diagnostic Value ◽

Ovarian Tumors ◽

Link Type ◽

Logistical Regression ◽

Ovarian Masses

Abstract Background Trial on five plasma biomarkers (CA125, HE4, OPN, leptin, prolactin) and their possible role in differentiating benign from malignant ovarian tumors. Methods In this unicentric prospective trial preoperative blood samples of 43 women with ovarian masses determined for ovarian surgery were analyzed. 25 patients had pathologically confirmed benign, 18 malignant ovarian tumors. Blood plasma was analyzed for CA125, HE4, OPN, leptin, prolactin and MIF by multiplex immunoassay analysis. Each single protein and a logistical regression model including all the listed proteins were tested as preoperative predictive marker for suspect ovarian masses. Results Plasma CA125 was confirmed as a highly accurate tumor marker in ovarian cancer. HE4, OPN, leptin and prolactin plasma levels differed significantly between benign and malignant ovarian masses. With a logistical regression model a formula including CA125, HE4, OPN, leptin and prolactin was developed to predict malignant ovarian tumors. With a discriminatory AUC of 0.96 it showed to be a highly sensitive and specific diagnostic test for a malignant ovarian tumor. Conclusions The calculated formula with the combination of CA125, HE4, OPN, leptin and prolactin plasma levels surpasses each single marker in its diagnostic value to discriminate between benign and malignant ovarian tumors. The formula, applied to our patient population was highly accurate but should be validated in a larger cohort. Trial registration Clinical Trials.gov under NCT01763125, registered Jan. 8, 2013.

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ASSESSMENT OF SUSPICIOUS OVARIAN CYSTS IN THE FEMALES BY USING OF TRANS ABDOMINAL ULTRASONOGRAPHY (TAUS) AND COMPUTED TOMOGRAPHY (CT)

International Journal of Medical and Biomedical Studies ◽

10.32553/ijmbs.v3i1.152 ◽

2019 ◽

Vol 3 (1) ◽

Author(s):

Dr. Chandan Kishore ◽

Dr. Ratna Priya

Keyword(s):

Computed Tomography ◽

Ct Scan ◽

Imaging Techniques ◽

Diagnostic Value ◽

Ovarian Cysts ◽

Ovarian Mass ◽

Abdominal Ultrasonography ◽

Ionic Contrast ◽

History Of ◽

Ovarian Masses

Owing to the development and improvement of growing number of conservative surgeries like laparoscopic surgery, the ultimate diagnosis of an ovarian mass is considered to be an important mission in gynecologic practice. The degree of suspicion for malignancy in a given mass is based largely on imaging appearance. Suspicious ovarian masses should be evaluated preoperatively to know their nature and behavior, which in turn persuade the choice of type of surgery. Evaluation of the suspicious ovarian mass should include clinical evaluation and imaging techniques. The aim of this study is to compare the diagnostic value of transabdominal ultrasonography (TAUS) and computed tomography (CT) in evaluation of suspicious ovarian masses The 50 female patients referred to the Department of Radiology in the Narayan Medical College and Hospital fromJan 2018 to July 2018 was enrolled in the present study. The enrolled females were identified with the ovarian cysts. The females underwent the trans abdominal ultrasonography (TAUS) and computed tomography (CT). Detailed history of allergy and renal function tests were taken before doing CT scan and if there was history of allergy then non-ionic contrast was used. Site, size, papillary projections, wall characteristics, capsular infiltrations, the presence of solid areas inside the mass and presence of as cites were recorded both by US and CT scan. The results of present study suggest that in diagnosing and determining the benign or malignant potential of an ovarian mass, both USG and CT have concordant roles. CT is more sensitive in determining the malignant lesions, USG is more specific and the difference between the two is statistically insignificant. Keywords: Suspicious Ovarian Cysts, trans abdominal ultrasonography (TAUS) and computed tomography (CT), etc.

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Conventional, Doppler and Contrast-Enhanced Ultrasonography in Differential Diagnosis of Ovarian Masses

Cellular Physiology and Biochemistry ◽

10.1159/000452508 ◽

2016 ◽

Vol 39 (6) ◽

pp. 2398-2408 ◽

Cited By ~ 6

Author(s):

Zongyu Liu ◽

Fan Yang ◽

Yong Zhang ◽

Huimei Yu ◽

He Zhu ◽

...

Keyword(s):

Differential Diagnosis ◽

Sensitivity And Specificity ◽

Malignant Tumors ◽

Meta Analysis ◽

Diagnostic Value ◽

Likelihood Ratios ◽

Doppler Us ◽

Contrast Enhanced ◽

Contrast Enhanced Ultrasonography ◽

Ovarian Masses

Background: Differential diagnosis of ovarian masses can influence both treatment selection and prognosis of ovarian tumor patients. A comprehensive review was performed with respect to the diagnostic value of conventional ultrasonography, Doppler ultrasonography and contrast-enhanced ultrasonography (CEUS) in differentiating benign from malignant ovarian masses. Methods: Databases were searched for relevant articles. Retrieved studies were screened according to the inclusion criteria. Pooled statistics including specificity, sensitivity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), diagnostic odds ratio (DOR) and area under curve (AUC) were utilized to calculate the overall diagnostic value for each diagnostic approach. Results: Sixty-seven high quality articles were finally enrolled in the present meta-analysis. The sensitivity and specificity of conventional US were 0.92 and 0.86, respectively. The corresponding sensitivity and specificity of Doppler US were 0.93 and 0.85, respectively. Additionally, these figures for CEUS were 0.97 and 0.92, respectively. Finally, the AUC values for conventional US, Doppler US and CEUS were 0.95, 0.96 and 0.99, respectively. Conclusion: All of the three US-related imaging modalities have relatively high diagnostic value in distinguishing malignant tumors from benign ones in ovarian tumors.

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Diagnostic value of the International Ovarian Tumor Analysis ( IOTA ) simple rules versus pattern recognition to differentiate between malignant and benign ovarian masses

International Journal of Gynecology & Obstetrics ◽

10.1002/ijgo.12970 ◽

2019 ◽

Vol 147 (3) ◽

pp. 344-349 ◽

Cited By ~ 1

Author(s):

Dina M.R. Dakhly ◽

Hassan M. Gaafar ◽

Mona M. Sediek ◽

Mohamed F. Ibrahim ◽

Mohamed Momtaz

Keyword(s):

Pattern Recognition ◽

Ovarian Tumor ◽

Diagnostic Value ◽

Simple Rules ◽

Ovarian Masses

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Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100068096 ◽

1970 ◽

Vol 28 ◽

pp. 220-221

Author(s):

Gerald Fine ◽

Azorides R. Morales

Keyword(s):

Cardiac Myxoma ◽

Osteogenic Sarcoma ◽

Diagnostic Value ◽

Soft Tissue Tumors ◽

Amelanotic Melanoma ◽

Growth Patterns ◽

Light Microscopic Level ◽

Mesenchymal Tumors ◽

Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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