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Isgandarova A, Yumru AE, Karatas S, Cakmak BD, Dundar B, Turker UA. The Comparison of Pelvic Mass Score and Risk of Malignancy Index-3 in Discrimination of Benign and Malignant Adnexal Masses. Sisli Etfal Hastan Tip Bul 2020; 54:490-6. [PMID: 33364892 DOI: 10.14744/SEMB.2019.67299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 01/14/2019] [Indexed: 12/05/2022]
Abstract
Objectives: Discrimination of benign and malignant adnexal masses is crucial for the follow-up and prognosis of the patient. Since each modality alone does not have enough sensitivity, the combination of all methods called multimodal screening is currently being used. In this study, we aimed to compare pelvic mass score (PMS) and the risk of malignancy index (RMI-3) scoring systems in determining the malignant potential of adnexal masses. Methods: In this prospective observational study, 40 patients between the age of 15-79 who were diagnosed as an adnexal mass were included between March and October 2016. Patients were classified as benign (n=20) and malignant (n=20). The age, gravida, parity, findings of a pelvic examination, medical and family history, laboratory parameters, sonographic findings, histopathological results, PMS and RMI-3 scores of the patients were recorded. Results: The mean age, CA-125 levels, Sassone scores and ultrasonography scores of patients were higher in malignant cases, whereas the resistance index was lower. Both RMI-3 and PMS scores were higher in the malignant group (1728.14±325.3 vs. 36.27±31.01, p<0.001 and 55.31±40.96 vs. 9.91±5.29, p<0.001, respectively). Receiver operating curve for the predictive value of PMS to diagnose malignancy was performed and a cut-off value of 14 was determined with the area under the curve (AUC) 0.955 (p<0.001). The sensitivity was 95%, specificity was 80%, positive and negative predictive values were 82.6% and 94.1%. Likewise, the discriminative value of RMI-3 to diagnose malignancy was evaluated by the ROC curve. AUC for RMI-3 was 0.930 with a sensitivity of 95%, the specificity of 75%, the positive predictive value of 79.1% and negative predictive value of 93.7% with a cut-off value of >53.2 (p<0.001). Conclusion: Age, menopause status, tumor markers and sonographic parameters may be beneficial alone for determining malignancy, whereas the scoring systems integrating all the parameters are more powerful. According to our findings, PMS is more sensitive and more practical than the RMI-3 scoring system.
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Zhang X, Meng X, Dou T, Sun H. Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses: A meta-analysis. Exp Ther Med 2020; 20:265. [PMID: 33199990 PMCID: PMC7664593 DOI: 10.3892/etm.2020.9395] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 09/18/2020] [Indexed: 01/01/2023] Open
Abstract
Transvaginal ultrasound (TVUS) is a standard imaging modality for differentiating patients with benign or malignant suspected adnexal mass. To date, numerous studies have assessed the diagnostic accuracy of TVUS in various settings but with variable results. Therefore, the purpose of the present study was to perform a meta-analysis to evaluate the diagnostic accuracy of TVUS for the differentiation of adnexal masses. An electronic search in the Medline, Scopus, Cochrane and Embase databases from inception till November 2019 was carried out. Meta-analysis was performed to obtain pooled sensitivity and specificity of TVUS to distinguish malignant from benign adnexal masses. The quality assessment of diagnostic accuracy studies-2 tool was used to assess the quality of trials. A total of 41 studies with 18,391 patients were included. The pooled sensitivity and specificity of TVUS was 92% (95% CI: 90-94%) and 89% (95% CI: 85-92%), respectively. The area under the receiver operating characteristic curve was 0.96 (95% CI: 0.84-1.00). There was considerable heterogeneity with a statistically significant chi-square test (P<0.001) and I2 of 99%. Meta-regression results indicated that index test standards, patient selection bias and study design were potential sources of heterogeneity (P<0.05). The funnel plot was symmetrical and low publication bias was confirmed by an insignificant Deek's test (P=0.90). The present systematic review and meta-analysis indicated that TVUS is useful in differentiating between benign and malignant tumours among patients with suspected adnexal mass with high sensitivity and specificity.
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Affiliation(s)
- Xiya Zhang
- Department of Special Inspection, Shandong Qingdao Hospital of Integrated Traditional and Western Medicine, Qingdao, Shandong 266002, P.R. China
| | - Xuan Meng
- Department of Ultrasound, Qingdao Fuwai Cardiovascular Hospital, Qingdao, Shandong 266021, P.R. China
| | - Ting Dou
- Department of Ultrasound Medicine, The Third People's Hospital of Qingdao, Qingdao, Shandong 266041, P.R. China
| | - Hui Sun
- Department of Special Inspection, Qingdao Women and Children's Hospital, Qingdao, Shandong 266000, P.R. China
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Elezaby M, Lees B, Maturen KE, Barroilhet L, Wisinski KB, Schrager S, Wilke LG, Sadowski E. BRCA Mutation Carriers: Breast and Ovarian Cancer Screening Guidelines and Imaging Considerations. Radiology 2019; 291:554-569. [PMID: 31038410 DOI: 10.1148/radiol.2019181814] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Patients who carry the BRCA1 and BRCA2 gene mutations have an underlying genetic predisposition for breast and ovarian cancers. These deleterious genetic mutations are the most common genes implicated in hereditary breast and ovarian cancers. This monograph summarizes the evidence behind current screening recommendations, reviews imaging protocols specific to this patient population, and illustrates some of the imaging nuances of breast and ovarian cancers in this clinical setting.
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Affiliation(s)
- Mai Elezaby
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Brittany Lees
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Katherine E Maturen
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Lisa Barroilhet
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Kari B Wisinski
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Sarina Schrager
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Lee G Wilke
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Elizabeth Sadowski
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
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Abstract
Aim: Early and correct diagnosis of ovarian masses has great impact on the ultimate survival. The present study was done to know the role of color Doppler studies in characterization of ovarian masses and to evaluate its efficacy in diagnosis and differentiation of these neoplasms when used along with grayscale (B-mode) ultrasonography (USG). Materials and Methods: Over 2 years, in total, 98 patients with adnexal masses were examined, of which only 60 patients who had ovarian masses and were satisfying inclusion criteria were evaluated sonographically. Grayscale transabdominal and transvaginal sonography was followed by color Doppler with fixed parameters and indices. The results differentiated on sonographic and color Doppler examination were compared with the final diagnosis, based on histopathological examination. Results: Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of grayscale ultrasound in detecting malignancy in ovarian masses in the current study were calculated to be 51.85%, 75.75%, 63.63%, and 65.78%, respectively. By combining grayscale and color flow finding, the current study was able to differentiate malignant tumors from benign tumors with a sensitivity of 81.48%, specificity of 93.93%, PPV of 91%, and NPV of 86.11%. Conclusion: The present study demonstrates a significant increase in the sensitivity, specificity, PPV, and NPV in establishing the preoperative diagnosis of ovarian masses in terms of benign and malignant nature, when color and spectral Doppler was used in combination with USG as compared to grayscale (B-mode) USG alone.
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Affiliation(s)
- Nidhi Sehgal
- Department of Radiology, IQ City Narayna Medical College and Hospital, Durgapur, West Bengal, India
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Sadowski EA, Robbins JB, Rockall AG, Thomassin-Naggara I. A systematic approach to adnexal masses discovered on ultrasound: the ADNEx MR scoring system. Abdom Radiol (NY) 2018; 43:679-95. [PMID: 28900696 DOI: 10.1007/s00261-017-1272-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Adnexal lesions are a common occurrence in radiology practice and imaging plays a crucial role in triaging women appropriately. Current trends toward early detection and characterization have increased the need for accurate imaging assessment of adnexal lesions prior to treatment. Ultrasound is the first-line imaging modality for assessing adnexal lesions; however, approximately 20% of lesions are incompletely characterized after ultrasound evaluation. Secondary assessment with MR imaging using the ADNEx MR Scoring System has been demonstrated as highly accurate in the characterization of adnexal lesions and in excluding ovarian cancer. This review will address the role of MR imaging in further assessment of adnexal lesions discovered on US, and the utility of the ADNEx MR Scoring System.
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Sadowski EA, Paroder V, Patel-Lippmann K, Robbins JB, Barroilhet L, Maddox E, McMahon T, Sampene E, Wasnik AP, Blaty AD, Maturen KE. Indeterminate Adnexal Cysts at US: Prevalence and Characteristics of Ovarian Cancer. Radiology 2018; 287:1041-1049. [PMID: 29480762 DOI: 10.1148/radiol.2018172271] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To assess the prevalence of indeterminate adnexal cysts in women presenting to academic medical centers for pelvic ultrasonography (US), determine the incidence of malignancy, and identify cyst and patient characteristics that are predictive of malignancy. Materials and Methods A multicenter study of US-detected adnexal cysts with appropriate follow-up (surgical pathologic examination, imaging and/or clinical examination) was conducted from January 2008 to June 2012. Indeterminate cysts were classified as category 1 (typical benign appearing cysts >5 cm) or category 2 (cysts with avascular solid components) on the basis of a combination of definitions in the existing literature. The incidence of neoplasms and malignant tumors was calculated. Patient and cyst characteristics associated with neoplasm and malignant tumors were evaluated with the χ2 test or Fisher exact test for categorical variables and the t test for continuous variables. A backward stepwise logistic regression model was performed for two outcomes: (a) the presence of any neoplasm (benign or malignant) and (b) the presence of a malignant tumor. Results There were 1637 women with an adnexal cyst at US; 391 (mean age = 41.8 years ± 13.5.1; range = 17-91 years) had an indeterminate adnexal cyst at US. The prevalence of indeterminate adnexal cysts was 23.9% (391 of 1637; 95% confidence interval [CI]: 0.22, 0.26). Three hundred three indeterminate cysts in 280 women (mean age = 42.9 years ± 14.1; range = 17-88 years) had adequate follow-up. The incidence of ovarian neoplasms (benign and malignant) was 24.8% (75 of 303 cysts; 95% CI: 0.20, 0.30), and the incidence of malignant tumors was 3.6% (11 of 303 cysts; 95% CI: 0.02, 0.06). The proportion of ovarian neoplasms differed between category 1 and category 2 cysts (17.5% [25 of 143 cysts; 95% CI: 0.12, 0.25] vs 31.3% [50 of 160 cysts; 95% CI: 0.24, 0.39], respectively; P = .001). The proportion of malignant tumors differed between categories 1 and 2 cysts (0% [0 of 143 cysts] vs 6.9% [11 of 160 cysts; 95% CI: 0.03, 0.12]; P < .001). The presence of an avascular nodular component was a significant predictor of malignancy at stepwise logistic regression analysis (odds ratio = 2.83; P ≤ .0001; 95% CI: 1.69, 4.70). Conclusion The presence of an avascular nodular component was the most significant predictor of the presence of malignancy in indeterminate adnexal cysts. The risk of malignancy is higher with category 2 cysts than with category 1 cysts. © RSNA, 2018.
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Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Viktoriya Paroder
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Krupa Patel-Lippmann
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Jessica B Robbins
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Lisa Barroilhet
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Elizabeth Maddox
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Timothy McMahon
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Emmanuel Sampene
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Ashish P Wasnik
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Alexander D Blaty
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Katherine E Maturen
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
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7
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Abstract
Pelvic ultrasound examination is the primary imaging modality for evaluating a wide range of female pelvic symptomatology, and is often the first imaging test to detect a gynecologic malignancy. Ultrasound imaging is particularly useful for evaluating the thickness and appearance of the endometrium in patients with abnormal bleeding, and in detecting and characterizing ovarian lesions. This article reviews the ultrasound appearance of gynecologic neoplasms grouped by anatomic site of origin, the ultrasound appearance of select benign pelvic pathology not to be misinterpreted as malignancy, as well as available ultrasound imaging-based guidelines for managing potential gynecologic neoplasms.
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Carter JS, Koopmeiners JS, Kuehn-Hajder JE, Metzger GJ, Lakkadi N, Downs LS, Bolan PJ. Quantitative multiparametric MRI of ovarian cancer. J Magn Reson Imaging 2013; 38:1501-9. [PMID: 23559453 DOI: 10.1002/jmri.24119] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Accepted: 02/15/2013] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To identify parameters associated with ovarian malignancy using multiparametric quantitative magnetic resonance imaging (MRI). MATERIALS AND METHODS After Institutional Review Board (IRB) approval, women with ovarian masses underwent preoperative imaging with 3 T MRI. Dynamic contrast-enhanced (DCE)-MRI with pharmacokinetic modeling, quantitative T2 mapping, and diffusion-weighted imaging with quantitative mapping of the water diffusion parameters were performed. Ovarian masses had one or more discreet regions of interest, categorized as cystic or solid, and histologically diagnosed as benign or malignant. Mean region of interest (ROI) values were compared between benign and malignant masses using generalized estimating equations. In addition, we compared classification accuracy for the mean ROI value to a combination of histogram characteristics (standard deviation, skewness, and kurtosis) from T2 map ROIs using logistic regression and ROC curve. The significance level was P = 0.05. RESULTS Several DCE-MRI parameters differentiated solid benign from malignant masses. Toft's rate constant (kep ) was significantly higher in malignant masses (P < 0.001), as well as quantitative T2 values (P = 0.003), and signal intensity on T2 weighted imaging (P = 0.008). A linear combination of the mean, standard deviation, skewness, and kurtosis of T2 within solid regions (area under the curve [AUC] 0.90) provided better classification accuracy than the mean of T2 alone (AUC 0.81). CONCLUSION Quantitative parameters from DCE-MRI and T2 mapping can differentiate benign from malignant ovarian masses.
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Affiliation(s)
- Jori S Carter
- University of Minnesota, Division of Gynecologic Oncology, Minneapolis, Minnesota, USA
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Shah D, Shah S, Parikh J, Bhatt CJ, Vaishnav K, Bala DV. Doppler ultrasound: a good and reliable predictor of ovarian malignancy. J Obstet Gynaecol India 2012; 63:186-9. [PMID: 24431635 DOI: 10.1007/s13224-012-0307-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Accepted: 09/23/2012] [Indexed: 11/29/2022] Open
Abstract
AIMS The aim of the present study was to prove the efficiency of Color Doppler and Spectral Doppler in evaluation and characterization of the ovarian neoplasm. MATERIALS AND METHODS In total, 104 patients with adnexal masses were examined sonographically to evaluate for morphologic characteristics, as well as pulsatility indices (PI), and resistance indices (RI) over a period of 2 years, of which 20 were excluded as the masses were not finally proven to be adnexal, and thus 84 patients with ovarian neoplasm were retained as the study subjects. The final diagnosis was based on histopathologic confirmation. RESULT Out of 84 cases, 44 were benign and 40 were malignant. Color Doppler showed vascularity in 97.5 % of malignant tumors in contrast to only 68.1 % of benign tumors. The present study showed that, 87.5 % of malignant tumors had PI less than 0.8 in contrast to only 4.54 % of benign tumors. Similarly, 82.5 % of malignant tumors had RI less than 0.6 in contrast to only 6.81 % of benign tumors. CONCLUSION Multiparameter analysis utilizing B-mode USG along with Color Doppler and Spectral Doppler is the mainstay in diagnosis of patients with ovarian tumors. A good specificity (84.1 %) and sensitivity (97.5 %) with PI and RI values of <1.0 and <0.6, respectively, was achieved with the present study which is highly significant in differentiating between malignant and benign ovarian tumours.
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Affiliation(s)
- Dharita Shah
- Department of Radiology, VS Hospital, Ellisbridge, Ahmedabad, 380006 India
| | - Sandip Shah
- Department of Gynecology, SAL hospital, Thaltej, Ahmedabad, India
| | - Jay Parikh
- Department of Radiology, VS Hospital, Ellisbridge, Ahmedabad, 380006 India
| | - C J Bhatt
- Department of Radiology, VS Hospital, Ellisbridge, Ahmedabad, 380006 India
| | - Kavita Vaishnav
- Department of Radiology, VS Hospital, Ellisbridge, Ahmedabad, 380006 India
| | - D V Bala
- Department of Preventive and Social Medicine, VS Hospital, Ellisbridge, Ahmedabad, 380006 India
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Dodge J, Covens A, Lacchetti C, Elit L, Le T, Devries–Aboud M, Fung-Kee-Fung M. Management of a suspicious adnexal mass: a clinical practice guideline. Curr Oncol 2012; 19:e244-57. [PMID: 22876153 PMCID: PMC3410836 DOI: 10.3747/co.19.980] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
QUESTIONS What is the optimal strategy for preoperative identification of the adnexal mass suspicious for ovarian cancer? What is the most appropriate surgical procedure for a woman who presents with an adnexal mass suspicious for malignancy? PERSPECTIVES In Canada in 2010, 2600 new cases of ovarian cancer were estimated to have been diagnosed, and of those patients, 1750 were estimated to have died, making ovarian cancer the 7th most prevalent form of cancer and the 5th leading cause of cancer death in Canadian women. Women with ovarian cancer typically have subtle, nonspecific symptoms such as abdominal pain, bloating, changes in bowel frequency, and urinary or pelvic symptoms, making early detection difficult. Thus, most ovarian cancer cases are diagnosed at an advanced stage, when the cancer has spread outside the pelvis. Because of late diagnosis, the 5-year relative survival ratio for ovarian cancer in Canada is only 40%. Unfortunately, because of the low positive predictive value of potential screening tests (cancer antigen 125 and ultrasonography), there is currently no screening strategy for ovarian cancer. The purpose of this document is to identify evidence that would inform optimal recommended protocols for the identification and surgical management of adnexal masses suspicious for malignancy. OUTCOMES Outcomes of interest for the identification question included sensitivity and specificity. Outcomes of interest for the surgical question included optimal surgery, overall survival, progression-free or disease-free survival, reduction in the number of surgeries, morbidity, adverse events, and quality of life. METHODOLOGY After a systematic review, a practice guideline containing clinical recommendations relevant to patients in Ontario was drafted. The practice guideline was reviewed and approved by the Gynecology Disease Site Group and the Report Approval Panel of the Program in Evidence-based Care. External review by Ontario practitioners was obtained through a survey, the results of which were incorporated into the practice guideline. PRACTICE GUIDELINE These recommendations apply to adult women presenting with a suspicious adnexal mass, either symptomatic or asymptomatic. IDENTIFICATION OF AN ADNEXAL MASS SUSPICIOUS FOR OVARIAN CANCER: Sonography (particularly 3-dimensional sonography), magnetic resonance imaging (mri), and computed tomography (ct) imaging are each recommended for differentiating malignant from benign ovarian masses. However, the working group offers the following further recommendations, based on their expert consensus opinion and a consideration of availability, access, and harm: Where technically feasible, transvaginal sonography should be the modality of first choice in patients with a suspicious isolated ovarian mass.To help clarify malignant potential in patients in whom ultrasonography may be unreliable, mri is the most appropriate test.In cases in which extra-ovarian disease is suspected or needs to be ruled out, ct is the most useful technique.Evaluation of an adnexal mass by Doppler technology alone is not recommended. Doppler technology should be combined with a morphology assessment.Ultrasonography-based morphology scoring systems can be used to differentiate benign from malignant adnexal masses. These scoring systems are based on specific ultrasound parameters, each with several scores base on determined features. All evaluated scoring systems were found to have an acceptable level of sensitivity and specificity; the choice of scoring system may therefore be made based on clinician preference.As a standalone modality, serum cancer antigen 125 is not recommended for distinguishing between benign and malignant adnexal masses.Frozen sections for the intraoperative diagnosis of a suspicious adnexal mass is recommended in settings in which availability and patient preference allow. SURGICAL PROCEDURES FOR AN ADNEXAL MASS SUSPICIOUS FOR MALIGNANCY: To improve survival, comprehensive surgical staging with lymphadenectomy is recommended for the surgical management of patients with early-stage ovarian cancer. Laparoscopy is a reasonable alternative to laparotomy, provided that appropriate surgery and staging can be done. The choice between laparoscopy and laparotomy should be based on patient and clinician preference. Discussion with a gynecologic oncologist is recommended. Fertility-preserving surgery is an acceptable alternative to more extensive surgery in patients with low-malignant-potential tumours and those with well-differentiated surgical stage i ovarian cancer. Discussion with a gynecologic oncologist is recommended.
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Affiliation(s)
- J.E. Dodge
- Division of Gynaecologic Oncology, Princess Margaret Hospital, University Health Network, Department of Obstetrics and Gynaecology, Toronto, ON
| | - A.L. Covens
- Division of Gynecologic Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON
| | - C. Lacchetti
- Cancer Care Ontario, Program in Evidence-Based Care, McMaster University, Hamilton, ON
| | - L.M. Elit
- Department of Obstetrics and Gynecology, Mc-Master University, Hamilton, ON
| | - T. Le
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON
| | | | - M. Fung-Kee-Fung
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, ON
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Kim KH, Alvarez RD. Using a Multivariate Index Assay to Assess Malignancy in a Pelvic Mass. Obstet Gynecol 2012; 119:365-367. [DOI: 10.1097/aog.0b013e318242b4e0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Faschingbauer F, Benz M, Häberle L, Goecke TW, Beckmann MW, Renner S, Müller A, Wittenberg T, Münzenmayer C. Subjective assessment of ovarian masses using pattern recognition: the impact of experience on diagnostic performance and interobserver variability. Arch Gynecol Obstet 2012; 285:1663-9. [PMID: 22262493 DOI: 10.1007/s00404-012-2229-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2011] [Accepted: 01/10/2012] [Indexed: 10/14/2022]
Abstract
PURPOSE To compare diagnostic performance and interobserver variability in a group of 36 examiners, with four different levels of experience. METHODS Nine junior trainees, eight level I senior trainees, 11 level II senior gynecologists, and eight level III expert sonologists classified 105 ultrasound images of adnexal masses into three subgroups of ovarian lesions (malignancies, functional cysts, and dermoid cysts). RESULTS The level III sonologists obtained the best diagnostic results together with the lowest interobserver variability (κ = 0.70, SD = 0.04). They achieved significantly better results in comparison with the junior trainees and also the senior trainees (κ = 0.51, SD = 0.12, p < 0.001; and κ = 0.51, SD = 0.09, p < 0.001). Differences between level III sonologists and the group of level II observers did not reach statistical significance (κ = 0.65, SD = 0.09, p = 0.70). There were no significant differences between senior and junior trainees (p = 1.0) and both groups achieved a significantly poorer diagnostic performance in comparison with the level II observers (p < 0.01 and p < 0.01). For all observers, the largest differences were seen for classifying malignancies, the best results for classifying functional cysts, and the poorest for evaluating dermoid cysts. CONCLUSIONS Diagnostic performance of pattern recognition significantly improves with an increasing level of experience, emphasizing the importance of standardized ultrasound training programs with supervision by experts.
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Affiliation(s)
- Florian Faschingbauer
- Department of Obstetrics and Gynecology, Erlangen University Hospital, Universitätsstrasse 21-23, 91054 Erlangen, Germany.
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Hata T, Hata K, Noguchi J, Kanenishi K, Shiota A. Ultrasound for evaluation of adnexal malignancy: From 2D to 3D ultrasound. J Obstet Gynaecol Res 2011; 37:1255-68. [DOI: 10.1111/j.1447-0756.2011.01642.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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Sokalska A, Timmerman D, Testa AC, Van Holsbeke C, Lissoni AA, Leone FPG, Jurkovic D, Valentin L. Diagnostic accuracy of transvaginal ultrasound examination for assigning a specific diagnosis to adnexal masses. Ultrasound Obstet Gynecol 2009; 34:462-470. [PMID: 19685552 DOI: 10.1002/uog.6444] [Citation(s) in RCA: 105] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
OBJECTIVES To determine the sensitivity and specificity of subjective evaluation of gray-scale and Doppler ultrasound findings (here called pattern recognition) when used by experienced ultrasound examiners with regard to making a specific diagnosis of adnexal masses. METHODS Within the framework of a European multicenter study, the International Ovarian Tumor Analysis study, comprising nine ultrasound centers, women with at least one adnexal mass were examined with gray-scale and color Doppler ultrasonography by experienced ultrasound examiners. A standardized examination technique, and standardized terms and definitions were used. Using pattern recognition the examiners classified each mass as benign or malignant and suggested a specific diagnosis (e.g. dermoid cyst or endometrioma). The reference standard was the histology of the surgically removed adnexal tumors. RESULTS A total of 1066 women were included, of whom 800 had a benign mass and 266 a malignant mass. A specific diagnosis based on ultrasound findings was suggested in 899 (84%) tumors. The specificity was high for all diagnoses (range, 94-100%). The sensitivity was highest for benign teratoma/dermoid cysts (86%, 100/116), hydrosalpinges (86%, 18/21), peritoneal pseudocysts (80%, 4/5) and endometriomas (77%, 153/199), and lowest for functional cysts (17%, 4/24), paraovarian/parasalpingeal cysts (14%, 3/21), benign rare tumors (11%, 1/9), adenofibromas (8%, 3/39), simple cysts (6%, 1/18) and struma ovarii (0%, 0/5). The positive and negative likelihood ratios of pattern recognition with regard to dermoid cysts, hydrosalpinges and endometriomas were 68.2 and 0.14, 38.9 and 0.15, and 33.3 and 0.24, respectively. Dermoid cysts, hydrosalpinges, functional cysts, paraovarian cysts, peritoneal pseudocysts, fibromas/fibrothecomas and simple cysts were never misdiagnosed as malignancies by the ultrasound examiner, whereas more than 10% of inflammatory processes, adenofibromas and rare benign tumors including struma ovarii were misdiagnosed as malignancies. CONCLUSIONS Using subjective evaluation of gray-scale and Doppler ultrasound findings it is possible to make an almost conclusive diagnosis of a dermoid cyst, endometrioma and hydrosalpinx. Many other adnexal pathologies can be recognized but not confidently confirmed or excluded.
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Affiliation(s)
- A Sokalska
- Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Karol Marcinkowski University of Medical Sciences, Poznan, Poland
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Chase DM, Crade M, Basu T, Saffari B, Berman ML. Preoperative diagnosis of ovarian malignancy: preliminary results of the use of 3-dimensional vascular ultrasound. Int J Gynecol Cancer 2009; 19:354-60. [PMID: 19407559 DOI: 10.1111/igc.0b013e3181a1d73e] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE To estimate the accuracy of 3-dimensional (3D) vascular ultrasound in the preoperative assessment of pelvic masses for malignancy. METHODS We performed a chart review of 66 patients who underwent 3D ultrasound for pelvic masses. Each mass was preoperatively judged to be benign or malignant based upon a study of vascularity within an ovarian mass using 3D ultrasound. Masses with orderly vascular architecture were categorized as probably benign, and masses with chaotic vascular patterns were categorized as malignant. The predictive value of 3D vascular ultrasound was compared with that of 2-dimensional ultrasound and cancer antigen 125 as a predictor of malignancy. RESULTS Among the 66 patients examined, 34 underwent a documented surgical intervention. Of those 34 patients, 10 had primary malignant neoplasms including 2 with low-malignant potential tumors. Suspicious 3D vascular ultrasound findings predicted malignant neoplasm in 10 patients. Two patients had recurrent cancer; however, only 1 had a suspicious ultrasound finding. There was 1 case of a low-malignant potential tumor without a suspicious ultrasound finding. Excluding the recurrent cancers and the observed patients, the positive predictive value (PPV) and the negative predictive value (NPV) of 3D vascular ultrasound were 100% and 95%, respectively. The PPV and the NPV of 2-dimensional ultrasound in predicting malignancy were 37% and 100%, respectively. An abnormal level of cancer antigen 125 had a PPV and an NPV of 73% and 83%, respectively, in this patient population. CONCLUSIONS In this preliminary and observational study, 3D ultrasound examination of vascular architecture was discriminatory in distinguishing benign ovarian masses from malignancy. Chaotic vascular architecture correlated with malignancy in this group of high-risk patients.
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Affiliation(s)
- Dana M Chase
- Department of Obstetrics, University of California, Irvine Medical Center, Orange, USA
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Bignardi T, Condous G. The management of ovarian pathology in pregnancy. Best Pract Res Clin Obstet Gynaecol 2009; 23:539-48. [DOI: 10.1016/j.bpobgyn.2009.01.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2008] [Accepted: 01/05/2009] [Indexed: 11/24/2022]
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Affiliation(s)
- Daniel L Clarke-Pearson
- Department of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, NC 27599, USA.
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Le T, Fayadh RA, Menard C, Hicks-boucher W, Faught W, Hopkins L, Fung-kee-fung M. Variations in Ultrasound Reporting on Patients Referred for Investigation of Ovarian Masses. Journal of Obstetrics and Gynaecology Canada 2008; 30:902-6. [DOI: 10.1016/s1701-2163(16)32970-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Nossov V, Amneus M, Su F, Lang J, Janco JMT, Reddy ST, Farias-Eisner R. The early detection of ovarian cancer: from traditional methods to proteomics. Can we really do better than serum CA-125? Am J Obstet Gynecol 2008; 199:215-23. [PMID: 18468571 DOI: 10.1016/j.ajog.2008.04.009] [Citation(s) in RCA: 187] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2008] [Revised: 03/19/2008] [Accepted: 04/04/2008] [Indexed: 12/13/2022]
Abstract
Ovarian cancer is the leading cause of death from gynecologic malignancy in the United States. More than 80% of patients present with advanced disease, with 5 year survival rates between 15% and 45%. In contrast, the survival rate for stage I disease, with malignancy confined to the ovary, is approximately 95%. Given the discrepancy in survival outcomes between early- and late-stage disease, strategies that would allow for the detection of ovarian cancer in its early stages would hold promise to significantly improve the mortality rate from ovarian cancer. Unfortunately, current screening methods for the detection of early stage ovarian cancer are inadequate. However, several recent proteomics-based biomarker discovery projects show promise for the development of highly sensitive and specific markers for gynecological malignancies, including ovarian cancer. In this review, we hope to provide an overview of the early detection ovarian cancer from traditional methods to recent promises in the proteomics pipeline.
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Zhang J, Mironov S, Hricak H, Ishill NM, Moskowitz CS, Soslow RA, Chi DS. Characterization of Adnexal Masses Using Feature Analysis at Contrast-Enhanced Helical Computed Tomography: . J Comput Assist Tomogr 2008; 32:533-40. [DOI: 10.1097/rct.0b013e3181568890] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Padovan RS, Kralik M, Prutki M, Hrabak M, Oberman B, Potocki K. Cross-sectional imaging of the pelvic tumors and tumor-like lesions in gynecologic patients—misinterpretation points and differential diagnosis. Clin Imaging 2008; 32:296-302. [DOI: 10.1016/j.clinimag.2007.11.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2007] [Accepted: 11/28/2007] [Indexed: 10/21/2022]
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Marchesini ACDS, Magrio FAA, Berezowski AT, Neto OBP, Nogueira AA, Candido dos Reis FJ. A critical analysis of Doppler velocimetry in the differential diagnosis of malignant and benign ovarian masses. J Womens Health (Larchmt) 2008; 17:97-102. [PMID: 18240986 DOI: 10.1089/jwh.2007.0476] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To evaluate the intratumoral reliability of color Doppler parameters and the contribution of Doppler sonography to the gray-scale differential diagnosis of ovarian masses. METHODS An observational study was performed including 67 patients, 15 (22.4%) with malignant ovarian neoplasm and 52 (77.6%) with benign ovarian diseases. We performed the Doppler evaluation in two distinct vessels selected after decreasing the Doppler gain to sample only vessels with higher velocity flow. Doppler measurements were obtained from each identified vessel, and resistive index (RI), pulsatility index (PI), peak systolic velocity (PSV), and end-diastolic velocity (EDV) were measured. Intraclass coefficient of correlation (ICC), sensitivity, specificity, and potential improvement in gray-scale ultrasound performance were calculated. RESULTS The general ICC were 0.60 (95% CI 0.42-0.73) for RI, 0.65 (95% CI 0.49-0.77) for PI, 0.07 (95% CI -0.17-0.30) for PSV, and 0.19 (95% CI -0.05-0.41) for EDV. The sensitivity and specificity were respectively 84.6% and 86.7% for RI, 69.2% and 93.3% for PI, 80.0% and 65.4% for gray-scale sonography, and 93.3% and 65.4% for gray-scale plus RI (p = 0.013). CONCLUSIONS Gynecologists must be careful in interpreting results from Doppler evaluation of ovarian masses because PSV and EDV present poor intratumoral reliability. The lower RI value, evaluated in at least two distinct sites of the tumor, was able to improve the performance of gray-scale ultrasound in differential diagnosis of ovarian masses.
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Abstract
Ovarian cancer is associated with an overall mortality of 75%, but can be cured in up to 90% of cases if diagnosed while still limited to the ovaries. Given the low prevalence of ovarian cancer in the general population, an effective screening strategy must not only have a high sensitivity for early-stage disease (>75%), but must also have a very high specificity (99.6%) to prompt no more than ten operations for each case of ovarian cancer diagnosed (positive predictive value [PPV] of 10%). Attempts to develop an effective screening strategy for ovarian cancer have utilized ultrasonography and serum tumor markers. Transvaginal sonography (TVS) and the serum marker CA125 have received the most attention to date. Used individually on a single occasion, neither of these approaches provides an adequate PPV and the cost of annual TVS is significant. Recent clinical trials have focused on serial monitoring of CA125 and the sequential use of a rising CA125 to prompt TVS in a limited number of women screened. Sequential monitoring of CA125 has significantly improved specificity of the assay in women over 50 years of age. The limited sensitivity of CA125 has, however, prompted a search for multiple serum markers that, in combination, would detect more than 90% of early-stage disease. Recent developments in genomic and proteomic research have identified a number of candidate biomarkers. Platforms have been developed that can assay more than 50 analytes in a few hundred microliters of serum. Panels of biomarkers have been discovered with high sensitivity and specificity for early-stage disease, but these require prospective validation. Several biomarkers have also been detected in urine, raising the possibility of a less expensive, more convenient screening test. Imaging techniques have been improved and mathematical methods developed that, in aggregate, promise to provide an effective screening strategy for ovarian cancer. In this review, we will assess the current status and describe future directions in ovarian cancer screening.
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Affiliation(s)
- Partha M Das
- University of Texas, MD Anderson Cancer Center, Department of Experimental Therapeutics, Houston, TX, USA Tel.: +1 713 792 3790; Fax: +1 713 792 7864
| | - Robert C Bast
- University of Texas, MD Anderson Cancer Center, Box 355, 1515 Holcombe Boulevard Houston, TX 77030, USA Tel.: +1 713 792 7743; Fax: +1 713 792 7864
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Sladkevicius P, Jokubkiene L, Valentin L. Contribution of morphological assessment of the vessel tree by three-dimensional ultrasound to a correct diagnosis of malignancy in ovarian masses. Ultrasound Obstet Gynecol 2007; 30:874-882. [PMID: 17943717 DOI: 10.1002/uog.5150] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
OBJECTIVE To determine whether subjective evaluation of the morphology of the vessel tree of ovarian tumors, as depicted by three-dimensional (3D) power Doppler ultrasound, can discriminate between benign and malignant ovarian tumors, and whether it improves characterization compared with using gray-scale ultrasound imaging alone. METHODS A consecutive series of 104 women scheduled for surgical removal of an ovarian mass were examined with transvaginal two-dimensional (2D) gray-scale and 3D power Doppler ultrasound. Predetermined vessel characteristics, e.g. density of vessels, branching, caliber changes and tortuosity, were evaluated in 360 degrees rotating 3D images of the vessel tree of the tumor. Ultrasound results were compared with those of the histology of the surgical specimens. Univariate and multivariate logistic regression were used. RESULTS There were 77 benign tumors, six borderline tumors and 21 invasive malignancies. All vascular features differed significantly between benign and malignant tumors. The areas under their receiver-operating characteristics (ROC) curves (AUCs) were in the range 0.61-0.83. The AUC of a logistic regression model containing three gray-scale ultrasound variables was 0.98. This model correctly classified all malignancies, with a false-positive rate of 10% (8/77). Adding branching of vessels in the whole tumor to the gray-scale model yielded an AUC of 0.99 and resulted in all malignancies and an additional four benign tumors being correctly classified. CONCLUSIONS Subjective evaluation of the morphology of the vessel tree, as depicted by 3D power Doppler ultrasound, can be used to discriminate between benign and malignant ovarian tumors, but adds little to gray-scale ultrasound imaging in an ordinary population of tumors.
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Affiliation(s)
- P Sladkevicius
- Department of Obstetrics and Gynecology, Malmö University Hospital, Lund University, Malmö, Sweden.
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Abstract
Gynecologic cancers are a common cause of morbidity and mortality in women of all ages. While many gynecologic cancers are staged clinically using the International Federation of Gynecology and Obstetrics (FIGO) staging system, imaging can be a useful adjunct to clinical staging. Cross sectional imaging techniques such as ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI) have been used to detect and follow patients with gynecologic cancer. These imaging modalities can show anatomic detail and morphologic changes in the female genitourinary tract to good advantage. Positron emission tomography (PET) differs in that it shows functional information that is not easily obtained by the other cross sectional imaging techniques. The fusion of PET with CT allows anatomic localization of functional abnormalities in the female genital tract and thereby allows the detection of gross disease in many malignant conditions both within and outside the confines of the female pelvis. The utility and limitations of imaging common gynecologic tumors such as cervical, ovarian and endometrial cancer are discussed with particular emphasis on PET/CT imaging.
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Affiliation(s)
- Revathy B Iyer
- Department of Diagnostic Radiology, University of Texas M.D. Anderson Cancer Center, Houston, TX, USA.
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Liu J, Xu Y, Wang J. Ultrasonography, computed tomography and magnetic resonance imaging for diagnosis of ovarian carcinoma. Eur J Radiol 2007; 62:328-34. [PMID: 17433597 DOI: 10.1016/j.ejrad.2007.02.040] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2007] [Revised: 02/01/2007] [Accepted: 02/02/2007] [Indexed: 11/21/2022]
Abstract
Our objective was to compare US, CT, and MR imaging in differentiation of malignant from benign ovarian tumors. Through an electronic literature search and manual review of bibliographies (January 1990 to June 2006), relevant studies on the diagnostic performance of US, CT, and MR imaging in the differentiation between benign and malignant ovarian tumours were identified. Sixty-nine articles were included, yielding 143 studies. Data on the accuracy of the different imaging modalities were analyzed and compared by constructing summary receiver-operating characteristic (ROC) curves. Our results suggest that US techniques seems to be similar with CT and MRI in differentiation of malignant from benign ovarian tumors. The results also revealed that color Doppler flow imaging alone is significantly inferior to combined US techniques, morphologic assessment alone and contrast enhanced US in diagnosis of ovarian cancer. In conclusion, US morphologic assessment still is the most important and common modality in detect ovarian cancer.
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Affiliation(s)
- Jingzhe Liu
- Department of Radiology, First Hospital of Tsinghua University, Beijing 100016, China.
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Abstract
PURPOSE OF REVIEW Epithelial ovarian cancer is usually diagnosed in the advanced stage and carries a poor prognosis. When detected at an early stage, the 5-year survival rate is 90%. Despite the availability of various diagnostic tools for ovarian cancer screening, high levels of sensitivity and specificity are not achievable. There is therefore an ongoing need to identify new screening tests and strategies that should be readily available, relatively noninvasive, and achieve high sensitivity, specificity, and positive and negative predictive values. RECENT FINDINGS Our review focuses on various screening technologies including serum biomarkers, transvaginal ultrasonography as well as multimodality screening that can be used for early detection of ovarian cancer. The efficacy of different screening tools is discussed along with the efforts made to improve sensitivity, specificity and positive predictive value. The initial results of two large population-based screening studies are presented. SUMMARY An optimal screening test with high levels of sensitivity and specificity is indispensable for early detection of ovarian cancer. Serological screening with serum biomarkers (serum proteins and autoantibodies) can be used as a first-line screening test. In combination with TVS or color-flow Doppler imaging, this may prove very effective in early detection of ovarian cancer.
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Affiliation(s)
- Adnan Munkarah
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Wayne State University School of Medicine, Detroit, MI, USA
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Abstract
This chapter summarizes the diagnostic performance (sensitivity, specificity, positive and negative likelihood ratios) of ultrasound, computer tomography, and magnetic resonance imaging in the diagnosis of various gynecological diseases and tumors. Positron emission tomography is not discussed. Imaging in infertility, in the diagnosis of Mullerian duct anomalies and in gynecological oncology (staging of gynecological cancers, diagnosis of recurrence of gynecological cancer, diagnosis of trophoblastic tumors) is not dealt with. Ultrasound is the first-line imaging method for discrimination between viable intrauterine pregnancy, miscarriage and tubal pregnancy in women with bleeding and/or pain in early pregnancy, for discrimination between benign and malignant adnexal masses and for making a specific diagnosis in adnexal tumors (e.g. dermoid cyst, endometrioma, hemorrhagic corpus luteum, etc.), for diagnosing intracavitary uterine pathology in women with bleeding problems, and for confirming or refuting pelvic pathology in women with pelvic pain. Magnetic resonance imaging can have a role as a secondary test in the diagnosis of adenomyosis, 'deep endometriosis' (e.g. endometriosis in the rectovaginal septum or in the uterosacral ligaments), and in the diagnosis of extremely rare types of ectopic pregnancy (e.g. in the spleen, liver or retroperitoneum).
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Affiliation(s)
- Lil Valentin
- Department of Clinical Sciences Malmö, Lund University, Sweden.
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Abstract
OBJECTIVE A 46-year-old woman presented with bilateral adnexal masses on pelvic sonography, a complex cystic mass on the right, and a homogeneously hypoechoic, solid-appearing mass on the left. Pelvic MRI showed a T1 hypointense, T2 hyperintense, nonenhancing mass in the right ovary and a homogeneously T1 hyperintense lesion with mixed T2 signal in the left ovary. Fat-saturated T1-weighted sequences showed the left ovarian lesion to be an endometrioma containing a high concentration of hemoglobin breakdown products and revealed other endometriotic implants in the right ovary, broad ligament, and cul-de-sac. Follow-up pelvic sonography 9 weeks later showed resolution of the right complex cystic ovarian mass, indicating that it was a physiologic hemorrhagic cyst. CONCLUSION Imaging features of benign and malignant ovarian masses overlap. If imaging is inconclusive in characterizing an adnexal mass as benign, the mass will be resected rather than followed up because of the concern for a rapidly growing ovarian cancer. Thus, the goal of imaging is to identify unequivocally the benign lesions that can be left untreated. Pelvic MRI provides a powerful adjunct to pelvic sonography in characterizing adnexal masses as benign.
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Affiliation(s)
- Susanna I Lee
- Department of Radiology, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA.
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Abstract
Screening for ovarian cancer in the general population presents several unique challenges. Without a clearly identified premalignant state, efforts have focused on detection of early stage disease. Towards this end, investigators have focused on the use of serum markers and transvaginal ultrasound. CA125 determination is the most reliable serum marker in use, and utilization of serial measurements to calculate risk of cancer appears to have greater utility than evaluation of a single value. Multimodality screening focuses on combining serial CA125 measurement with transvaginal ultrasound follow-up for those with abnormal values. Large prospective trials, such as the United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS), are currently underway to assess the impact of various screening strategies on mortality, and to evaluate feasibility, acceptability, and morbidity of screening. Future research efforts will undoubtedly focus on promising techniques to examine the serum proteosome for patterns to identify early ovarian cancer.
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Affiliation(s)
- Christina S Chu
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Pennsylvania Medical Center, Philadelphia, PA 19104, USA.
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Balan P. Ultrasonography, computed tomography and magnetic resonance imaging in the assessment of pelvic pathology. Eur J Radiol 2006; 58:147-55. [PMID: 16289430 DOI: 10.1016/j.ejrad.2005.10.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2005] [Revised: 10/05/2005] [Accepted: 10/07/2005] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Ultrasound (US) is the primary imaging modality in the investigation of pelvic pathology in women however it can be very inaccurate. MRI and CT provide a more detailed pelvic examination and hence we compared their accuracies with that of ultrasound to find out if these two modalities should be used more often. PATIENTS AND METHODS 136 women who had MRI examination of the pelvis for investigation of probable pelvic pathology were studied. Hundred and twenty-five of these women had an initial ultrasound scan and 23 had an initial CT. Diagnostic accuracy was assessed against histopathology or clinical follow-up. RESULTS Histopathology was available in 127/136 women. Overall 36% of the lesions were malignant. The overall accuracy of MRI, US and CT were 97%, 77% and 87%, respectively. MRI confidently identified the tissue of origin in 94% compared to only 66% for US. There was a significant difference in accuracy between MRI and US in diagnosing adnexal and uterine pathology. MRI was better than CT and US in diagnosing peritoneal metastases whereas CT was superior in diagnosing omental infiltration. CONCLUSION We suggest that all women with a pelvic abnormality identified on US or in whom there is a strong clinical suspicion of disease should undergo MR pelvic imaging in preference to CT because of its better soft tissue resolution and multi-planar capability.
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Affiliation(s)
- P Balan
- Centre for MRI, University of Hull and Hull and East Yorkshire NHS Trust, UK.
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Bazot M, Nassar-Slaba J, Thomassin-Naggara I, Cortez A, Uzan S, Daraï E. MR imaging compared with intraoperative frozen-section examination for the diagnosis of adnexal tumors; correlation with final histology. Eur Radiol 2006; 16:2687-99. [PMID: 16547708 DOI: 10.1007/s00330-006-0163-z] [Citation(s) in RCA: 65] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2005] [Revised: 12/08/2005] [Accepted: 01/12/2006] [Indexed: 12/27/2022]
Abstract
The aim was to compare the accuracy of magnetic resonance imaging (MRI) and intraoperative consultation (IC) for the diagnosis of adnexal masses, with reference to final histology. MRI was performed in 136 women with sonographically indeterminate adnexal masses. IC included macroscopic and frozen-section examination. Macroscopic examination and MRI determined size, nature, and presence of vegetations or solid portions within masses. All masses were characterized as benign or malignant according to previously published MR imaging and histopathologic criteria. Sensitivities, specificities, and predictive values for the diagnosis of malignancy of MRI and IC were assessed. Histology revealed 168 adnexal masses (99 benign, 23 borderline and 46 invasive). Frozen sections were examined in 151 cases. Among the 151 adnexal masses studied by both MRI and IC, respective sensitivities, specificities, positive and predictive values of both methods for the diagnosis of malignancy were 89.7% and 84.5%, 91.4% and 100%, 86.7% and 100%, and 93.4% and 91.3%. Sensitivities of MR imaging and frozen section for the diagnosis of serous versus mucinous borderline tumors were 33.3% and 93.3%, and 62.5% and 12.5%, respectively. MRI is less accurate than IC for characterizing adnexal masses. However, MRI may increase the relevance of IC for borderline mucinous tumors.
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Affiliation(s)
- Marc Bazot
- Department of Radiology, Hôpital Tenon, 4, rue de la Chine, 75020 Paris, France.
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Pendse N. Magnetic Resonance Imaging in Ovarian Masses. Apollo Medicine 2006. [DOI: 10.1016/s0976-0016(12)60095-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022] Open
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Abstract
The aim of this study was to assess the efficacy and safety of laparoscopic treatment for adnexal cystic masses that were predicted to be benign in postmenopausal women. Postmenopausal women found to have an adnexal cystic mass were retrospectively evaluated with transvaginal ultrasonography, and serum CA-125 levels. The selection criteria were adnexal cystic masses greater than 3 cm but less than 10 cm, the masses were in the benign range (4-8) of Sassone's scoring system for transvaginal ultrasonography, and the patients had serum CA-125 levels less than 65 IU/mL. Two hundred nineteen women fulfilled the criteria and underwent operative laparoscopy. Almost all the masses (99.5%) were accurately predicted to be benign except for one borderline ovarian tumor. Two hundreds thirteen (97.3%) women were successfully managed by operative laparoscopy and six (2.7%) required laparotomy. For the patients managed by laparoscopy, the mean operative time was 51.3 min; the mean hospital stay was 2.5 days. There was no significant morbidity and surgery-related mortality. The combination of the Sassone's scoring system for transvaginal ultrasonography and serum CA-125 level can accurately predict benign cystic masses, and operative laparoscopy is technically feasible and safe for the management of adnexal mass in postmenopausal women.
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Affiliation(s)
- Jeong-Won Lee
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chul Jung Kim
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ji Eun Lee
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Sun-Joo Lee
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Byoung-Gie Kim
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Je-Ho Lee
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Duk-Soo Bae
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chang-Soo Park
- Department of Obstetrics & Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Marret H, Sauget S, Giraudeau B, Body G, Tranquart F. Power Doppler vascularity index for predicting malignancy of adnexal masses. Ultrasound Obstet Gynecol 2005; 25:508-513. [PMID: 15846763 DOI: 10.1002/uog.1893] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
OBJECTIVE To assess the performance of a power Doppler vascularity index in the preoperative diagnosis of ovarian malignancy. METHODS Adnexal masses (n = 101) were examined prospectively with power Doppler ultrasonography before surgical treatment. The tumor vascularity index (power Doppler index, PDI) was determined by quantification of the number of pixels in a defined region of interest according to the formula: number of colored pixels/(total number of pixels minus the number of pixels in the fluid or avascular areas). It was estimated on selected frames of the tumors using an in-house color-quantifying program added to MATLAB 6.0 software. Inter- and intraobserver reproducibilities of PDI assessment were evaluated. Intratumoral blood flow velocity waveforms were obtained to determine the lowest resistance index (RI). A subjective visual score of power Doppler signals in the tumor was used to classify it as having low, moderate or high vascularity. The discriminatory ability of this score was compared to that of RI and PDI measurement. RESULTS Histology identified 23 malignant and 78 benign lesions. The PDI was considerably higher in malignant than in benign lesions (0.34 +/- 0.04 vs. 0.12 +/- 0.06; P < 0.001). The intra- and interobserver variabilities of PDI were low (intraclass correlation coefficients of 0.99 and 0.97, respectively). The PDI cut-off value to differentiate malignant from benign tumors was set at 0.265 (26.5% of the tumor being colored). Using this cut-off, sensitivity and specificity were 100% (95% CI, 87.8-100.0) and 97.4% (95% CI, 91.0-99.7) compared to 78.3% (95% CI, 56.3-92.5) and 83.1% (95% CI, 72.9-90.7) for RI (cut-off value of 0.53) and 78.3% (95% CI, 56.3-92.5) and 94.9% (95% CI, 87.4-98.6) for visual scoring. Logistic regression demonstrated that PDI was the best parameter for differentiating between malignant and benign tumors. CONCLUSION The power Doppler vascularity index obtained using customized color quantifying software has high diagnostic value in discriminating between benign and malignant adnexal masses.
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Affiliation(s)
- H Marret
- Department of Gynaecology, Obstetrics, Fetal Medicine and Human Reproduction, Tours, France.
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Alcázar JL, Castillo G. Comparison of 2-dimensional and 3-dimensional power-Doppler imaging in complex adnexal masses for the prediction of ovarian cancer. Am J Obstet Gynecol 2005; 192:807-12. [PMID: 15746675 DOI: 10.1016/j.ajog.2004.10.630] [Citation(s) in RCA: 54] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
OBJECTIVE The purpose of this study was to compare 2-dimensional and 3-dimensional power-Doppler imaging diagnostic performance for the prediction of ovarian cancer in complex adnexal masses. STUDY DESIGN Sixty-nine complex adnexal masses in 60 women (mean age, 48.4 years [range, 17-82 years]) were evaluated by 2-dimensional and 3-dimensional power-Doppler imaging for differentiating benign from malignant masses. Complex adnexal mass was defined in the presence of at least 1 of the following features: solid areas, thick papillary projections, thick septa, or purely solid echogenicity. One examiner performed 2-dimensional power-Doppler imaging, and a second examiner performed 3-dimensional power-Doppler imaging. All masses were removed surgically, and definitive diagnosis was obtained. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for both techniques. RESULTS Forty-five tumors (65.2%) were proved to be malignant, and 24 tumors (34.8%) were proved to be benign. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for 2-dimensional power-Doppler imaging were 97.8%, 87.5%, 93.6%, 95.5%, and 94.2%, respectively. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for 3-dimensional power-Doppler imaging were 97.8%, 79.2%, 89.9%, 95%, and 91.3 % respectively. There were no statistical differences in sensitivity and specificity (McNemar test: P = .250) CONCLUSION Three-dimensional power-Doppler imaging did not have a better diagnostic performance than 2-dimensional power-Doppler imaging for the discrimination of benign from malignant complex adnexal masses.
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Affiliation(s)
- Juan Luis Alcázar
- Department of Obstetrics and Gynecology, Clínica Universitaria de Navarra, University of Navarra, School of Medicine, Pamplona, Spain
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Abstract
In a pregnant woman who presents with acute pelvic pain and an adnexal mass, pregnancy-related etiologies, such as ectopic pregnancy or ovarian torsion, are typically the first diagnoses to be considered. Many other causes of pelvic pain associated with an adnexal mass can occur in pregnant patients, however. Some causes are benign and others require urgent management and treatment. Clinical presentation and physical examination can be misleading in pregnancy. The location of pain may be atypical for the pathologic entity, the pain may be muted, and in the case of infection, fever and leukocytosis can be absent. US examination is a safe and effective method for evaluating these patients. Sonographic characterization of adnexal masses may make a definitive diagnosis or focus the differential, which allows for prompt and appropriate treatment of patients.
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Affiliation(s)
- Emily M Webb
- Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA
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Marret H, Ecochard R, Giraudeau B, Golfier F, Raudrant D, Lansac J. Color Doppler energy prediction of malignancy in adnexal masses using logistic regression models. Ultrasound Obstet Gynecol 2002; 20:597-604. [PMID: 12493050 DOI: 10.1046/j.1469-0705.2002.00853.x] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
OBJECTIVE The aim of this study was to assess the usefulness of color Doppler energy in the preoperative diagnosis of ovarian malignancy using multivariate logistic regression analysis. METHODS One hundred and thirty adnexal masses were studied with transvaginal B-mode, color energy, and pulsed Doppler ultrasonography before surgery in order to develop a model that could be used to determine malignancy. Each ultrasonographic variable (tumor size, wall thickness, septal structure, echogenicity, papillary projection, density (solid or not)) was included individually or combined together as part of the Sassone ultrasound score. Intratumoral blood flow velocity waveforms were obtained to determine pulsatility index and resistance index and a more subjective parameter, location of tumor vascularity, was also assessed. Menopausal status and serum CA 125 levels were also entered as categorical variables. Sonographic parameters were entered alone, then associated with menopausal status and CA 125 serum levels, and finally with Doppler energy measurements. Our model was then validated in a group of 68 adnexal masses and compared to the model of Alcazar. RESULTS Eighteen adnexal masses (13.8%) were malignant or of low malignant potential. Multivariate analysis showed that papillary projection of the tumor wall, cyst with solid parts, resistance index with a cut-off value of 0.53, CA 125, and central blood flow location, were the only factors to be independent predictors of malignancy. Menopausal status was not an independent factor. For the final model including the Doppler energy parameter the best sensitivity and specificity were 83% and 93%, respectively, at a cut-off value of 10% probability of malignancy compared to 83% and 87% for the morphological variables alone. Validation of the model showed its diagnostic performance to be as good as that reported in the original population and better than the model of Alcazar. CONCLUSION Sonographic analysis of adnexal masses including color Doppler energy shows the best predictive properties according to histological diagnosis, and improves preoperative diagnosis of malignancy.
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Affiliation(s)
- H Marret
- Department of Gynecology, Obstetrics, Fetal Medicine and Human Reproduction, Bretonneau University Hospital, Tours, France.
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Fenchel S, Grab D, Nuessle K, Kotzerke J, Rieber A, Kreienberg R, Brambs HJ, Reske SN. Asymptomatic adnexal masses: correlation of FDG PET and histopathologic findings. Radiology 2002; 223:780-8. [PMID: 12034950 DOI: 10.1148/radiol.2233001850] [Citation(s) in RCA: 127] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
PURPOSE To analyze asymptomatic adnexal masses at positron emission tomography (PET) with fluorodeoxyglucose (FDG) in correlation with histopathologic findings and evaluate FDG PET for assessing malignancy in comparison with transvaginal B-mode and Doppler ultrasonography (US) and magnetic resonance (MR) imaging. MATERIALS AND METHODS Ninety-nine patients underwent static FDG PET of the abdomen. US scans were evaluated according to sonomorphologic scoring systems. Resistance index of tumor blood vessels was calculated. Transverse and sagittal T1-weighted MR images obtained before and after intravenous administration of gadopentetate dimeglumine with a fat-saturation technique and T2-weighted MR images were acquired at 1.5 T. Adnexal mass malignancy was first assessed with each modality and then with a combination of the three techniques. Final diagnosis was made with histopathologic evaluation. RESULTS FDG PET depicted seven of 12 malignant and 66 of 87 benign asymptomatic adnexal tumors. False-negative PET results were obtained in five of seven stage pT1a cystadenocarcinomas and tumors of low malignant potential but not in advanced-stage ovarian carcinomas. Small moderately intense FDG accumulations in the lower pelvis were caused by benign adnexal tumors or gastrointestinal activity in 21 of 27 cases. The overall sensitivities and specificities were 58% (95% CI: 27.7, 84.8) and 76% (95% CI: 65.5, 84.4), respectively, for FDG PET; 92% (95% CI: 61.5, 99.8) and 60% (95% CI: 48.7, 70.1), respectively, for US; 83% (95% CI: 51.6, 97.7) and 84% (95% CI: 74.5, 90.9), respectively, for MR imaging; and 92% (95% CI: 61.5, 99.8) and 85% (95% CI: 75.8, 91.8), respectively, for the combination of three modalities. CONCLUSION Since the sensitivity of US is as high as that of PET, MR imaging, and the combination of three modalities, it remains the method of choice for diagnosis and assessment of asymptomatic adnexal masses.
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Affiliation(s)
- Sabine Fenchel
- Department of Nuclear Medicine, University of Ulm, Steinhövelstrasse 9, 89075 Ulm, Germany.
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Abstract
The main challenge to the radiologist is to differentiate benign from malignant adnexal masses. Both US and MRI perform well for prediction of benignity. There is less specificity for diagnosis of malignancy but features, such as papillary projections, thickened septations, and internal vascularity within nodules, aid in this differentiation. The combination of morphology and Doppler characteristics provide the most accurate US diagnosis. For sonographically indeterminate masses, MRI is useful for additional lesion characterization. Analysis of T1- and T2-weighted signal intensities for benign-appearing lesions with the addition of fat saturation for high signal on T1-weighted sequences may lead to an exact diagnosis or a narrow differential. For cases considered suspicious by TVUS, more specific diagnosis by MRI may obviate the need for surgery or otherwise change management by identification of benign etiology.
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Affiliation(s)
- Stacey A Funt
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA
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Affiliation(s)
- T P Manolitsas
- James Cancer Hospital, Solove Research Institute, Ohio State University College Of Medicine, Columbus, Ohio, USA
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Abstract
For most women, pelvic sonography using a transvaginal probe is the imaging modality of choice for evaluating the uterus and adnexae. It is reliable for detecting ovarian cysts and other adnexal masses, and it can often determine if a lesion can be observed on serial examinations or if it requires more urgent attention. Uterine ultrasound is reliable for evaluating both the normal and abnormal endometrium and myometrium. In cases that are technically limited, or in those that are difficult to interpret, a tailored MR imaging examination often can be helpful.
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Affiliation(s)
- F C Laing
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
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Abstract
PURPOSE To compare the effectiveness of current ultrasonographic (US) techniques for characterizing ovarian masses. MATERIALS AND METHODS Through a MEDLINE literature search, articles with imaging-histopathologic correlation and data that allowed calculation of contingency tables were identified. Results of morphologic assessment, Doppler US, color Doppler flow imaging, and combined techniques were compared. RESULTS Among 89 data sets from 46 included studies (5,159 subjects), 35 sets used morphologic information, 36 measured Doppler US indexes, 10 assessed tumor vascularity with color Doppler flow imaging, and eight used combined techniques. Summary receiver operating characteristic curves revealed significantly higher performance for combined techniques than for morphologic information (P: =.003), Doppler US indexes (P: =.003), or color Doppler flow imaging alone (P: =.001). The Q* point (and 95% CI) for combined techniques was 0.92 (0.87, 0.96) versus 0. 85 (0.83, 0.88) for morphology, 0.82 (0.78, 0.86) for Doppler US, and 0.73 (0.58, 0.87) for color Doppler flow imaging. Morphologic assessment showed a trend toward better performance than color Doppler flow imaging (P: =.09) or Doppler US indexes (P: =.07). Doppler US index results were better in earlier studies (P: =.005). CONCLUSION Combined US techniques and a diagnostic algorithm perform significantly better than morphologic assessment, color Doppler flow imaging, or Doppler US indexes alone in characterizing ovarian masses.
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Affiliation(s)
- K Kinkel
- Departments of Radiology, University Hospital Geneva, rue Micheli-du-Crest 24, 1211 Geneva 14, Switzerland
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Abstract
OBJECTIVE To test the accuracy of the risk of malignancy index, the revised risk of malignancy index and Tailor's regression model to diagnose malignancy in women with known adnexal masses. DESIGN Prospective collaborative study. SETTING Gynaecology Assessment Unit, Department of Obstetrics and Gynaecology, King's College Hospital, London. SAMPLE Sixty-one women with known adnexal masses were examined pre-operatively. Women were recruited from three South London hospitals. METHODS The demographic, biochemical and sonographic data recorded for each patient included: age; menopausal status; CA125 levels; tumour volume; ultrasound characteristics; and Doppler blood flow analysis (peak and mean blood velocities, the pulsatility and resistance indices). The diagnosis of malignancy was made for each woman using all three models and the results compared with the final histopathological diagnosis. RESULTS Thirty-eight women had benign tumours and 23 had ovarian cancer. Women with malignant tumours were significantly older than those with benign masses. There were also significant differences in CA125 levels, locularity, presence of papillary proliferations and ascites between the two groups. Tailor's regression model achieved a 43% sensitivity and 92% specificity in the diagnosis of malignancy. This compared with a 74% sensitivity and 92% specificity with the risk of malignancy model, and a 74% sensitivity and 89% specificity with the revised risk of malignancy model. CONCLUSION When applied prospectively all three diagnostic models performed less accurately than originally reported, despite clinical signs of malignancy being present in many cases. It is likely that their accuracy would be even less in a population of women in whom there was a substantial clinical uncertainty. Intra-tumoral blood velocity and CA125 levels were the best individual parameters for discrimination between benign and malignant tumours.
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Affiliation(s)
- N Aslam
- Department of Obstetrics and Gynaecology, King's College Hospital, Denmark Hill, London, UK
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Abstract
Adnexal masses present a special diagnostic challenge, in part because benign adnexal masses greatly outnumber malignant ones. Determination of a degree of suspicion for malignancy is critical and is based largely on imaging appearance. Endovaginal ultrasonography (US) is the most practical modality for assessment of ovarian tumors because it is readily available and has a high negative predictive value. Morphologic analysis of adnexal masses is accurate for identifying masses as either low risk or high risk. The most important morphologic features are non-fatty solid (vascularized) tissue, thick septations, and papillary projections. Color Doppler US helps identify solid, vascularized components in a mass. Spectral Doppler waveform characteristics (eg, resistive index, pulsatility index) correlate well with malignancy but generally add little information to morphologic considerations. Computed tomography can help assess the extent of disease in patients before and after primary cytoreductive surgery. Magnetic resonance (MR) imaging is better reserved for problem solving when US findings are nondiagnostic or equivocal because, although it is more accurate for diagnosis, it is also more expensive. The signal intensity characteristics of ovarian masses make possible a systematic approach to diagnosis. Mature cystic teratomas, cysts, endometriomas, leiomyomas, fibromas, and other lesions can be accurately diagnosed on the basis of T1-weighted, T2-weighted, and fat-saturated T1-weighted MR imaging findings.
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Affiliation(s)
- Y Y Jeong
- Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
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Abstract
PURPOSE To correlate ultrasonographic (US), clinical, and histopathologic findings in patients with breast cancer who underwent surgery for adnexal masses evident at US. MATERIALS AND METHODS A database search yielded 54 patients with breast cancer and with adnexal masses at US and histopathologic examinations. Clinical, US, and histopathologic findings were correlated. RESULTS Forty (74%) patients had benign adnexal masses, and 14 (26%) had malignant masses; three patients had both benign and malignant ovarian masses. Seven patients had primary ovarian cancer, and seven had breast metastases to the ovary. All breast metastases to the ovary were bilateral solid masses at histopathologic examination and occurred in women with stage IV breast carcinoma at the time of US. Eleven ovaries with breast metastases were solid at US. The remaining three ovaries with breast metastases had cystic components at US because of hemorrhage or coexistent benign ovarian cysts. Four of seven patients with primary ovarian carcinoma had bilateral ovarian tumors, and seven of 11 ovarian carcinomas were predominantly cystic at US. No patient with primary ovarian carcinoma had stage IV breast cancer. CONCLUSION In this small series, half the ovarian malignancies in patients with breast cancer were primary ovarian carcinomas and half were breast metastases to the ovary. Breast metastases to the ovary most frequently are bilateral solid masses at US and are associated with stage IV disease at the time of US.
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Affiliation(s)
- L E Hann
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021, USA
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Hricak H, Chen M, Coakley FV, Kinkel K, Yu KK, Sica G, Bacchetti P, Powell CB. Complex adnexal masses: detection and characterization with MR imaging--multivariate analysis. Radiology 2000; 214:39-46. [PMID: 10644099 DOI: 10.1148/radiology.214.1.r00ja3939] [Citation(s) in RCA: 173] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To evaluate the accuracy of magnetic resonance (MR) imaging in the detection and characterization of complex adnexal masses, with particular reference to the findings predictive of malignancy, role of gadolinium-enhanced contrast material, and observer variability. MATERIALS AND METHODS Preoperative MR imaging of the pelvis was performed in 128 consecutive patients with clinically or ultrasonographically detected complex adnexal masses. Histopathologic examination demonstrated 187 masses, 96 of which were malignant. MR imaging studies were prospectively and independently reviewed by two radiologists, one of whom reevaluated the studies after a 6-month interval. The predictive value of MR imaging findings was determined with multivariate logistic regression analysis. The value of gadolinium enhancement was assessed by using receiver operating characteristic analysis. Inter- and intraobserver variabilities were assessed by using weighted K statistics. RESULTS Gadolinium-enhanced MR imaging depicted 176 (94%) of 187 adnexal masses, with an overall accuracy for the diagnosis of malignancy of 93%. The MR imaging findings that were most predictive of malignancy were necrosis in a solid lesion (odds ratio, 107) and vegetations in a cystic lesion (odds ratio, 40). Use of gadolinium-based contrast material contributed significantly to lesion characterization. Interobserver (K, 0.79-0.85) and intraobserver (K, 0.84-0.86) agreement were excellent. CONCLUSION Gadolinium-enhanced MR imaging is highly accurate in the detection and characterization of complex adnexal masses, with excellent inter- and intraobserver agreement.
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Affiliation(s)
- H Hricak
- Department of Radiology, University of California-San Francisco 94143-0628, USA
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