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Ozyilmaz S, Kulali F, Topal CS, Yalcinkaya C. Salient magnetic resonance imaging findings in the differential diagnosis of benign, borderline and malignant ovarian mucinous tumors. Abdom Radiol (NY) 2024:10.1007/s00261-024-04545-9. [PMID: 39187694 DOI: 10.1007/s00261-024-04545-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/02/2024] [Accepted: 08/19/2024] [Indexed: 08/28/2024]
Abstract
PURPOSE In mucinous ovarian tumors, preoperative prediction of histological subgroup is important for treatment approach. Therefore, we aimed to determine salient magnetic resonance imaging (MRI) findings and estimate optimal cut off values for quantitative features in differential diagnosis of benign, borderline and malignant mucinous ovarian tumors. METHODS Between January 2011 and December 2021, preoperative MRI scans of 50 patients with mucinous ovarian tumors (n = 54) were evaluated retrospectively. MRI findings [size, signal intensity, contrast pattern, features of loculation, wall, septa and mural nodule (MN), diffusion restriction] were investigated. There were benign, borderline, and malignant groups based on histopathological results. The relationship between radiological and histopathological results was analyzed by performing Kruskal Wallis test, Pearson's chi-squared test, receiver operating characteristic analysis. RESULTS In our study, there were 54 mucinous ovarian tumors in 50 patients. Of 54, 33 were benign, 13 borderline and eight malignant tumors. In comparison of three groups, tumor size, number of loculation, number and frequency of MN were higher and apparent diffusion coefficient (ADC) value were lower in malignant group (p < 0.05). Septa thickness was lower with optimal cut off value of 2.45 mm in benign group compared to borderline and malignant groups [sensitivity: 79%, specificity: 75%, AUC (Area under the curve): 0.861] (p < 0.05). T2-weighted (T2-w) signal intensity ratio (SIR) of MN was higher in borderline compared to malignant group, with a cut-off value of 3.9 (sensitivity: 85%, specificity: 83%, AUC: 0.943) (p < 0.05). Ascites was also significant in malignant group (p < 0.05). CONCLUSION T2-w SIR of MN with a cut off value of 3.9 is beneficial for differential diagnosis. By awareness of some salient MRI findings (size, septa thickness, number of loculation, number and T2-w SIR of MN, ADC value and ascites), preoperative prediction of histological subgroup of mucinous tumors for appropriate treatment planning is possible.
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Affiliation(s)
- Safa Ozyilmaz
- Department of Radiology, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz street. No:1, Umraniye, Istanbul, 34764, Turkey
| | - Fatma Kulali
- Department of Radiology, University of Health Sciences, Umraniye Training and Research Hospital, Adem Yavuz street. No:1, Umraniye, Istanbul, 34764, Turkey.
| | - Cumhur Selcuk Topal
- Department of Pathology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey
| | - Cem Yalcinkaya
- Department of Gynecologic Oncology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkey
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Bourgioti C, Konidari M, Moulopoulos LA. Manifestations of Ovarian Cancer in Relation to Other Pelvic Diseases by MRI. Cancers (Basel) 2023; 15:cancers15072106. [PMID: 37046767 PMCID: PMC10093428 DOI: 10.3390/cancers15072106] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
Imaging plays a pivotal role in the diagnostic approach of women with suspected ovarian cancer. MRI is widely used for preoperative characterization and risk stratification of adnexal masses. While epithelial ovarian cancer (EOC) has typical findings on MRI; there are several benign and malignant pelvic conditions that may mimic its appearance on imaging. Knowledge of the origin and imaging characteristics of a pelvic mass will help radiologists diagnose ovarian cancer promptly and accurately. Finally, in special subgroups, including adolescents and gravid population, the prevalence of various ovarian tumors differs from that of the general population and there are conditions which uniquely manifest during these periods of life.
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Affiliation(s)
- Charis Bourgioti
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
| | - Marianna Konidari
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
| | - Lia Angela Moulopoulos
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
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Wu M, Tang Q, Cai S, Zhu L, Lin C, Guan Y, Rao S, Zhou J. Accuracy and reproducibility of the O-RADS MRI risk stratification system based on enhanced non-DCE MRI in the assessment of adnexal masses. Eur J Radiol 2023; 159:110670. [PMID: 36584564 DOI: 10.1016/j.ejrad.2022.110670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/11/2022] [Accepted: 12/22/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Evaluation of the diagnostic performance and reproducibility of the Ovarian-Adnexal Reporting and Data System (O-RADS) Magnetic Resonance Imaging (MRI) risk stratification system based on enhanced non-dynamic contrast-enhanced (non-DCE) MRI in the diagnosis of adnexal masses. METHODS Patients who underwent conventional pelvic enhanced non-DCE MRI examination within one month prior to surgery formed the study population. Two experienced radiologists independently evaluated the images and assigned a score according to the O-RADS MRI risk stratification system. One of the radiologists reviewed the images and reassigned the scores after three months. Intra- and inter-observer agreement was evaluated with the k coefficient value. The adnexal masses that attained scores between 1 and 3 were considered benign, while those with scores of 4 or 5 were considered malignant. Analyses were conducted to determine the sensitivity, specificity, positive and negative predictive values, and receiver operating characteristic (ROC) curve, which were then used for evaluating the diagnostic efficacy of the developed system based on enhanced non-DCE MRI scan. The reference standard was histology. RESULTS A total of 308 patients (mean age: 42.09 ± 12.42 years, age range: 20-84 years) were enrolled in the study. Among the 362 adnexal masses from the included patients, there were 320 benign masses and 42 malignant masses. In the case of three readers, there were no malignant tumors scored 1-2. The O-RADS MRI score ≥ 4 was associated with malignancy resulted in a good diagnostic efficacy with the areas under the curve (AUC) values of 0.918 (95 % CI, 0.864-0.972), 0.905 (95 % CI, 0.842-0.968), and 0.882 (95 % CI, 0.815-0.950), the sensitivity values of 90.5 % (95 % CI, 87.5-93.5 %), 85.7 % (95 % CI, 82.1-89.3 %), and 83.3 % (95 % CI, 79.5-87.2 %), and the specificity values of 93.1 % (95 % CI, 90.5-95.7 %), 95.3 % (95 % CI, 93.1-97.5 %), and 93.1 % (95 % CI, 90.5-95.7 %) obtained for the three readers, respectively. Excellent intra-observer agreement and inter-observer agreement were observed with the k values of 0.883 (95 % CI, 0.814-0.952) and 0.848 (95 % CI, 0.770-0.926), respectively. CONCLUSIONS The O-RADS MRI risk stratification system based on enhanced non-DCE MRI scans exhibited high accuracy and reproducibility in the prediction of adnexal masses malignancy. Enhanced non-DCE MRI scan may offer an alternative diagnostic tool when DCE is not possible.
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Affiliation(s)
- Minrong Wu
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Qiying Tang
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Songqi Cai
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China
| | - Liuhong Zhu
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Chong Lin
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Yingying Guan
- Department of Pathology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China
| | - Shengxiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China.
| | - Jianjun Zhou
- Department of Radiology, Zhongshan Hospital (Xiamen), Fudan University, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China; Department of Radiology, Zhongshan Hospital, Fudan University, 180 Fenlin Road, Shanghai, Xuhui District, 200032, People's Republic of China; Department of Radiology, Xiamen Clinical Research Center for Cancer Therapy, 668 Jinhu Road, Huli District, Xiamen City 361015, Fujian Province, People's Republic of China.
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Hu Y, Chen B, Dong H, Sheng B, Xiao Z, Li J, Tian W, Lv F. Comparison of ultrasound-based ADNEX model with magnetic resonance imaging for discriminating adnexal masses: a multi-center study. Front Oncol 2023; 13:1101297. [PMID: 37168367 PMCID: PMC10165107 DOI: 10.3389/fonc.2023.1101297] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/03/2023] [Indexed: 05/13/2023] Open
Abstract
Objectives The ADNEX model offered a good diagnostic performance for discriminating adnexal tumors, but research comparing the abilities of the ADNEX model and MRI for characterizing adnexal tumors has not been reported to our knowledge. The aim of this study was to evaluate the diagnostic accuracy of the ultrasound-based ADNEX (Assessment of Different NEoplasias in the adneXa) model in comparison with that of magnetic resonance imaging (MRI) for differentiating benign, borderline and malignant adnexal masses. Methods This prospective study included 529 women with adnexal masses who underwent assessment via the ADNEX model and subjective MRI analysis before surgical treatment between October 2019 and April 2022 at two hospitals. Postoperative histological diagnosis was considered the gold standard. Results Among the 529 women, 92 (17.4%) masses were diagnosed histologically as malignant tumors, 67 (12.7%) as borderline tumors, and 370 (69.9%) as benign tumors. For the diagnosis of malignancy, including borderline tumors, overall agreement between the ADNEX model and MRI pre-operation was 84.9%. The sensitivity of the ADNEX model of 0.91 (95% confidence interval [CI]: 0.85-0.95) was similar to that of MRI (0.89, 95% CI: 0.84-0.94; P=0.717). However, the ADNEX model had a higher specificity (0.90, 95% CI: 0.87-0.93) than MRI (0.81, 95% CI: 0.77-0.85; P=0.001). The greatest sensitivity (0.96, 95% CI: 0.92-0.99) and specificity (0.94, 95% CI: 0.91-0.96) were achieved by combining the ADNEX model and subjective MRI assessment. While the total diagnostic accuracy did not differ significantly between the two methods (P=0.059), the ADNEX model showed greater diagnostic accuracy for borderline tumors (P<0.001). Conclusion The ultrasound-based ADNEX model demonstrated excellent diagnostic performance for adnexal tumors, especially borderline tumors, compared with MRI. Accordingly, we recommend that the ADNEX model, alone or with subjective MRI assessment, should be used for pre-operative assessment of adnexal masses.
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Affiliation(s)
- Yanli Hu
- Department of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, China
- Department of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Bo Chen
- Department of Ultrasonography, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongmei Dong
- Department of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, China
- Department of Ultrasonography, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Furong Lv, ; Hongmei Dong,
| | - Bo Sheng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhibo Xiao
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jia Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Wei Tian
- Department of Radiology, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
- Department of Radiology, Chongqing Health Center for Women and Children, Chongqing, China
| | - Furong Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Furong Lv, ; Hongmei Dong,
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Sakala MD, Jha P, Tong A, Taffel MT, Feldman MK. MR Imaging of Endometriosis of the Adnexa. Magn Reson Imaging Clin N Am 2022; 31:121-135. [DOI: 10.1016/j.mric.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Tsuboyama T, Sato K, Ota T, Fukui H, Onishi H, Nakamoto A, Tatsumi M, Tomiyama N. MRI of Borderline Epithelial Ovarian Tumors: Pathologic Correlation and Diagnostic Challenges. Radiographics 2022; 42:2095-2111. [PMID: 36083804 DOI: 10.1148/rg.220068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Borderline epithelial ovarian tumors are a distinct pathologic entity characterized by increased epithelial proliferation and nuclear atypia, but without frank stromal invasion. Borderline tumor (BT) is now considered to represent an intermediate phase in the stepwise progression from benign to malignant ovarian epithelial tumor. Since BTs commonly manifest at early stages in women of reproductive age and are associated with a good prognosis, making the correct diagnosis is important in determining whether a patient is a candidate for fertility-sparing surgery. There are six histologic BT subtypes (serous, mucinous, seromucinous, endometrioid, clear cell, and Brenner), and each has different MRI features, reflecting their unique histologic architectures. Radiologists should be aware of the MRI features that can suggest BTs. These features include a hyperintense papillary architecture with hypointense internal branching, which can be observed with serous and seromucinous BTs on T2-weighted images; aggregates of microcysts that have hypointensity on T2-weighted images and reticular enhancement on contrast-enhanced T2-weighted images, which can be seen with mucinous BTs; and moderately high signal intensity on diffusion-weighted images along with relatively high apparent diffusion coefficient values, which can be observed regardless of the histologic subtype. Nevertheless, because the imaging features of BTs overlap with those of many benign lesions (eg, cystadenoma and cystadenofibroma, decidualized endometriosis, and polypoid endometriosis) and malignant tumors (ovarian cancers and metastases), histologic confirmation is required for the final diagnosis. Special emphasis is placed on the MRI features of BTs, pathologic correlation, and the challenges related to diagnosis. ©RSNA, 2022.
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Affiliation(s)
- Takahiro Tsuboyama
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Kazuaki Sato
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Takashi Ota
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Hideyuki Fukui
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Hiromitsu Onishi
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Atsushi Nakamoto
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Mitsuaki Tatsumi
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
| | - Noriyuki Tomiyama
- From the Departments of Radiology (T.T., T.O., H.F., H.O., A.N., M.T., N.T.) and Pathology (K.S.), Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan
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Xiao F, Zhang L, Yang S, Peng K, Hua T, Tang G. Quantitative analysis of the MRI features in the differentiation of benign, borderline, and malignant epithelial ovarian tumors. J Ovarian Res 2022; 15:13. [PMID: 35062992 PMCID: PMC8783416 DOI: 10.1186/s13048-021-00920-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/06/2021] [Indexed: 12/12/2022] Open
Abstract
Objective This study aims to investigate the value of the quantitative indicators of MRI in the differential diagnoses of benign, borderline, and malignant epithelial ovarian tumors (EOTs). Materials and methods The study population comprised 477 women with 513 masses who underwent MRI and operation, including benign EOTs (BeEOTs), borderline EOTs (BEOTs), and malignant EOTs (MEOTs). The clinical information and MRI findings of the three groups were compared. Then, multivariate logistic regression analysis was performed to find the independent diagnostic factors. The receiver operating characteristic (ROC) curves were also used to evaluate the diagnostic performance of the quantitative indicators of MRI and clinical information in differentiating BeEOTs from BEOTs or differentiating BEOTs from MEOTs. Results The MEOTs likely involved postmenopausal women and showed higher CA-125, HE4 levels, ROMA indices, peritoneal carcinomatosis and bilateral involvement than BeEOTs and BEOTs. Compared with BEOTs, BeEOTs and MEOTs appeared to be more frequently oligocystic (P < 0.001). BeEOTs were more likely to show mild enhancement (P < 0.001) and less ascites (P = 0.003) than BEOTs and MEOTs. In the quantitative indicators of MRI, BeEOTs usually showed thin-walled cysts and no solid component. BEOTs displayed irregular thickened wall and less solid portion. MEOTs were more frequently characterized as solid or predominantly solid mass (P < 0.001) than BeEOTs and BEOTs. The multivariate logistic regression analysis showed that volume of the solid portion (P = 0.006), maximum diameter of the solid portion (P = 0.038), enhancement degrees (P < 0.001), and peritoneal carcinomatosis (P = 0.011) were significant indicators for the differential diagnosis of the three groups. The area under the curves (AUCs) of above indicators and combination of four image features except peritoneal carcinomatosis for the differential diagnosis of BeEOTs and BEOTs, BEOTs and MEOTs ranged from 0.74 to 0.85, 0.58 to 0.79, respectively. Conclusion In this study, the characteristics of MRI can provide objective quantitative indicators for the accurate imaging diagnosis of three categories of EOTs and are helpful for clinical decision-making. Among these MRI characteristics, the volume, diameter, and enhancement degrees of the solid portion showed good diagnostic performance.
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Clues to the diagnosis of borderline ovarian tumours: An imaging guide. Eur J Radiol 2021; 143:109904. [PMID: 34412008 DOI: 10.1016/j.ejrad.2021.109904] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/12/2021] [Accepted: 08/05/2021] [Indexed: 11/20/2022]
Abstract
Borderline Ovarian Tumours (BOTs) are an interesting subset of epithelial neoplasms defined histologically by atypical epithelial proliferation without stromal invasion. These tumours typically affect young women in the reproductive age group and have a good prognosis. Although ultrasonography is the primary screening imaging technique in the evaluation of any suspected adnexal mass, grey-scale and colour Doppler have limited value in characterizing BOTs. Thus, a pelvic magnetic resonance imaging (MRI) is recommended for further characterization on account of its multiplanar capabilities, excellent soft-tissue contrast and high spatial resolution. BOTs histological subtypes display specific features on MRI that are useful in differential diagnosis. However, the final diagnosis and staging of BOTs require pathologic evaluation after surgical excision. Therefore, the purpose of this review is to describe, illustrate and compare the imaging characteristics of the different subtypes of BOTs - serous, mucinous and seromucinous - focusing on MRI, as well as to correlate with pathology findings considering the recent 2020 World Health Organization (WHO) classification, in order to improve the accuracy of preoperative diagnosis and facilitate optimal patient management.
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Sahin H, Akdogan AI, Smith J, Zawaideh JP, Addley H. Serous borderline ovarian tumours: an extensive review on MR imaging features. Br J Radiol 2021; 94:20210116. [PMID: 34111956 DOI: 10.1259/bjr.20210116] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Serous borderline ovarian tumours (SBOTs) are an intermediate group of neoplasms, which have features between benign and malignant ovarian tumours and for which, fertility-sparing surgery can be offered. MRI in imaging of SBOTs is, therefore, crucial in raising the possibility of the diagnosis, in order to present the patient with the most appropriate treatment options. There are characteristic MRI features that SBOTs demonstrate. In addition, recent advanced techniques, and further classification into subtypes within the borderline group have been developed. The aim of this article is to review the MRI features of SBOT and provide the reporter with an awareness of the imaging tips and tricks in the differential diagnosis of SBOT.
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Affiliation(s)
- Hilal Sahin
- Department of Radiology, School of Clinical Medicine, University of Cambridge, Cambridge, UK.,Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.,Department of Radiology, Tepecik Training and Research Hospital, University of Health Sciences, Izmir, Turkey
| | - Asli Irmak Akdogan
- Department of Radiology, Ataturk Training and Research Hospital, Katip Celebi University, Izmir, Turkey
| | - Janette Smith
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jeries Paolo Zawaideh
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Helen Addley
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.,Department of Radiology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Ohya A, Ichinohe F, Matoba H, Kobara H, Fujinaga Y. Useful preoperative examination findings to classify the grade of ovarian primary mucinous tumor. Abdom Radiol (NY) 2021; 46:2393-2402. [PMID: 33388806 DOI: 10.1007/s00261-020-02918-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 12/10/2020] [Accepted: 12/12/2020] [Indexed: 01/16/2023]
Abstract
PURPOSE To evaluate various imaging features on magnetic resonance imaging (MRI) and tumor markers and their utility to assess various grades of ovarian primary mucinous tumors (OPMTs): benign, borderline, or malignant. METHODS Ninety-five pathologically diagnosed OPMTs [53 benign, 24 borderline malignant (BM), and 18 malignant] were selected in this retrospective study. MRI features of the ovarian mass, namely the maximum diameter, honeycomb loculi, solid components (SC), stained-glass pattern, and signal intensity of the cyst on T1- (T1WI) and T2-weighted imaging (T2WI) with/without fat suppression, and preoperative STMs, namely carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 19-9, and CA125, were compared between the three tumor grades using univariate analysis. We also analyzed the findings to estimate the pathological diagnosis using classification tree (CT) analysis. RESULTS Maximum diameter, honeycomb loculi, SC, stained-glass pattern, signal intensity of the cyst [hyperintensity on both T1WI and T2WI (T1-hyper/T2-hyper), and hyperintense on T1WI and hypointense on T2WI (T1-hyper/T2-hypo)], and CEA and CA 19-9 concentrations were significantly different between the three tumor grades (p < 0.05). The concordance rate with the pathological diagnosis was the highest with diagnosis by the CT comprising T1-hyper/T2-hypo, CEA, and CA 19-9 and by the CT comprising T1-hyper/T2-hypo, CEA, and SC. CONCLUSION Four types of findings were important for OPMT grading. Lesions negative for both T1-hyper/T2-hypo and CEA suggest benign; lesions positive for T1-hyper/T2-hypo and negative for CA 19-9 or SC suggest BM; and lesions negative for T1-hyper/T2-hypo and positive for CEA, or positive for both T1-hyper/T2-hypo and CA 19-9 or SC suggest malignancy.
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Takeuchi M, Matsuzaki K, Harada M. Clinical value of N-acetyl mucinous compounds and lipid peaks in differentiating benign and malignant ovarian mucinous tumors by MR spectroscopy. Clin Imaging 2021; 78:127-135. [PMID: 33780785 DOI: 10.1016/j.clinimag.2021.03.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 03/14/2021] [Accepted: 03/16/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE To retrospectively evaluate the clinical significance of the peaks of N-acetyl mucinous compounds (NAMC) at 2 ppm and lipid at 1.3 ppm in in-vivo proton magnetic resonance (MR) spectroscopy for distinguishing benign and malignant mucinous tumors in patients with ovarian masses. METHODS MR spectroscopy was performed in patients with pathologically diagnosed mucinous ovarian tumors at 3 T MRI system. The peaks of NAMC, lipid, and total choline compounds (tCho) were classified into three classes in comparison with the noise level by visual estimation. The NAMC concentration was quantified relative to unsuppressed water by using LCModel analysis. RESULTS A total of 27 ovarian mucinous tumors in 27 patients were included in this study. The NAMC peak was observed in all 27 mucinous tumors, and the lipid peak was observed in 14 of 27 tumors: 1 of 9 benign tumors (11%), and 13 of 18 malignant tumors (11 borderline malignancies and 7 carcinomas) (72%). The presence of the lipid peak for the diagnosis of malignant mucinous tumor showed generally better diagnostic ability than MR imaging, with a sensitivity of 72%, specificity of 89%, accuracy of 78%, PPV of 93%, and NPV of 62%. The concentration of the NAMC in malignant mucinous tumors tended to be higher than that in benign mucinous tumors, but there was no statistically significant difference. CONCLUSIONS The bimodal peaks of NAMC and lipid are suggestive of malignant mucinous tumors, and the presence of the lipid peak may be useful in distinguishing benign from malignant ovarian mucinous tumors.
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Affiliation(s)
- Mayumi Takeuchi
- Department of Radiology, Tokushima University, 3-18-15, Kuramoto-cho, Tokushima zip: 7708503, Japan.
| | - Kenji Matsuzaki
- Department of Radiological Technology, Tokushima Bunri University, 1314-1, Shido, Sanuki-city, Kagawa zip: 7692193, Japan.
| | - Masafumi Harada
- Department of Radiology, Tokushima University, 3-18-15, Kuramoto-cho, Tokushima zip: 7708503, Japan.
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Yang XY, Li Y, Cai SQ, Wang L, Qiang JW. Optimization of 7,12-dimethylbenz(a)anthracene-induced rat epithelial ovarian tumors. Oncol Lett 2021; 21:206. [PMID: 33574945 PMCID: PMC7816358 DOI: 10.3892/ol.2021.12467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 11/13/2020] [Indexed: 01/26/2023] Open
Abstract
Ovarian carcinoma is the second most common malignant tumor of the female reproductive system and an notable cause of cancer death. The detection and diagnosis of early ovarian carcinomas are still clinical challenges, which calls for imaging studies using early ovarian carcinoma animal models. The present study aimed to optimize the 7,12-dimethylbenz(a)anthracene (DMBA)-induced model of rat ovarian tumors by investigating the delivery methods, induction dose and time of DMBA exposure, and explored the morphological features of tumors using MRI. Three schemes were performed. In scheme one the ovary was covered with absorbable hemostatic gauze loaded with a high concentration of liquid DMBA. For this scheme, 150 Sprague-Dawley rats were divided into three groups depending on the DMBA dose (1.0, 2.0 and 3.0 mg). In scheme two DMBA solution was injected under the ovarian capsule. For this scheme, 159 rats were divided into 0.5, 1.0 and 1.5 mg DMBA groups. In scheme three the ovary was covered with absorbable gauze loaded with a high concentration of solid DMBA. For this scheme 161 rats were divided into 1.0, 2.0 and 3.0 mg DMBA groups. Each group of the three schemes was further subdivided into 60-, 90-, 120-, 150- and 180-day groups. In scheme two, the tumor formation rate was 75.6% (99/131), which was the highest in the 1.5 mg group (86.4%, 38/44) and reached 100% (10/10) on day 120. The induced tumors were serous in 93.9% (93/99) of tumors. Borderline ovarian tumors accounted for 19.2% (19/99) of all tumors, and ovarian cancer accounted for 46.5% (46/99). The mean maximum diameter (MMD) of borderline ovarian tumors was 10.29±3.41 mm, and that of ovarian cancer was 15.19±7.10 mm. MMD of the solid components increased with increasing malignancy. Cystic, cystic-solid and solid tumors were observed. The ovarian subcapsular injection of 1.5 mg DMBA was the best scheme for the rat ovarian tumor model. The present model is ideal for investigating the occurrence, development and imaging of ovarian tumors.
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Affiliation(s)
- Xiu Ying Yang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, P.R. China
| | - Ying Li
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, P.R. China
| | - Song Qi Cai
- Departments of Radiology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Li Wang
- Department of Pathology, Jinshan Hospital, Fudan University, Shanghai 201508, P.R. China
| | - Jin Wei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai 201508, P.R. China
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Taylor EC, Irshaid L, Mathur M. Multimodality Imaging Approach to Ovarian Neoplasms with Pathologic Correlation. Radiographics 2020; 41:289-315. [PMID: 33186060 DOI: 10.1148/rg.2021200086] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Ovarian neoplasms can be categorized on the basis of histopathologic features into epithelial surface cell tumors, germ cell tumors, sex cord-stromal tumors, and metastases. While their imaging appearance is often nonspecific, it closely parallels the gross pathologic appearance, and radiologic-pathologic correlation is helpful to aid in a deeper understanding of the subtypes. Epithelial cell neoplasms are the most common category, and they can be benign, borderline, or malignant. Specific subtypes include serous (most common), mucinous, seromucinous, endometrioid, clear cell, Brenner, and undifferentiated. High-grade serous cystadenocarcinoma accounts for the majority of malignant ovarian tumors and the most ovarian cancer deaths. While serous neoplasms are often unilocular and bilateral, mucinous neoplasms are larger, unilateral, and multilocular. Solid components, thickened septa, and papillary projections, particularly with vascularity, indicate borderline or malignant varieties. Endometrioid and clear cell carcinomas can arise within endometriomas. Fibrous tumors (cystadenofibroma, adenofibroma, fibroma or fibrothecoma, and Brenner tumors) demonstrate low T2-weighted signal intensity of their solid components, while teratomas contain lipid. The nonspecific imaging appearance of additional malignant ovarian germ cell tumors can be narrowed with tumor marker profiles. Sex cord-stromal tumors are often solid, and secondary signs from their hormonal secretion can be a clue to their diagnosis. The authors review the anatomy of the ovary and distal fallopian tube, the proposed origins of the histologic subtypes of tumors, the clinical features and epidemiology of ovarian neoplasms, and the applications of US, CT, and MRI in imaging ovarian neoplasms. The main focus is on the radiologic and pathologic features of the multiple ovarian neoplasm subtypes. An algorithmic approach to the diagnosis of ovarian neoplasms is presented. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Erin C Taylor
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
| | - Lina Irshaid
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
| | - Mahan Mathur
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
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14
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Kaga T, Kato H, Hatano Y, Kawaguchi M, Furui T, Morishige KI, Matsuo M. Can MRI features differentiate ovarian mucinous carcinoma from mucinous borderline tumor? Eur J Radiol 2020; 132:109281. [PMID: 32961452 DOI: 10.1016/j.ejrad.2020.109281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/03/2020] [Accepted: 09/09/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE Our purpose was to determine if MRI could be used to distinguish ovarian mucinous carcinoma (MC) from mucinous borderline tumor (MBT). MATERIALS AND METHODS This study included 63 consecutive patients with histopathologically proven ovarian mucinous neoplasms (11 MCs and 52 MBTs) who underwent preoperative contrast-enhanced MRI. MRI images were retrospectively reviewed and compared between the 2 pathologies. RESULTS The maximum tumor diameters (219.7 ± 80.8 mm vs. 177.4 ± 56.5 mm, p < 0.05) and maximum mural nodule (MN) diameters (41.7 ± 33.8 mm vs. 6.6 ± 8.9 mm, p < 0.01) were significantly larger in MCs than in MBTs. MNs larger than 5 mm (82 % vs. 29 %, p < 0.01) and abnormal ascites (45 % vs. 12 %, p < 0.05) were significantly more frequent in MCs than in MBTs. Apparent diffusion coefficient (ADC) values of MN were significantly lower in MCs than in MBTs (1.20 ± 0.25 × 10-3 mm2/s vs. 1.61 ± 0.35 × 10-3 mm2/s, p < 0.05). No significant difference was found in number of loculi, honeycomb sign, stained glass appearance, fluid-fluid level, thickened septa larger than 5 mm, peritoneal dissemination, or T2 hypointense microcysts between MCs and MBTs. T2 hypointense microcysts were observed only in 7 MBTs (13%). CONCLUSION MRI findings of these 2 pathologies overlapped considerably. Compared with MBTs, MCs exhibited larger tumor size, larger MN size, and lower ADC values of MN, and MCs more frequently had MNs larger than 5 mm and abnormal ascites. T2 hypointense microcysts might be a specific MRI finding in MBTs.
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Affiliation(s)
- Tetsuro Kaga
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - Hiroki Kato
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan.
| | | | - Masaya Kawaguchi
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
| | - Tatsuro Furui
- Department of Obstetrics and Gynecology, Gifu University, Gifu, Japan
| | | | - Masayuki Matsuo
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu 501-1194, Japan
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15
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van Nimwegen LWE, Mavinkurve-Groothuis AMC, de Krijger RR, Hulsker CCC, Goverde AJ, Zsiros J, Littooij AS. MR imaging in discriminating between benign and malignant paediatric ovarian masses: a systematic review. Eur Radiol 2019; 30:1166-1181. [PMID: 31529256 PMCID: PMC6957553 DOI: 10.1007/s00330-019-06420-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 08/03/2019] [Accepted: 08/08/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The use of magnetic resonance (MR) imaging in differentiation between benign and malignant adnexal masses in children and adolescents might be of great value in the diagnostic workup of sonographically indeterminate masses, since preserving fertility is of particular importance in this population. This systematic review evaluates the diagnostic value of MR imaging in children with an ovarian mass. METHODS The review was made according to the PRISMA Statement. PubMed and EMBASE were systematically searched for studies on the use of MR imaging in differential diagnosis of ovarian masses in both adult women and children from 2008 to 2018. RESULTS Sixteen paediatric and 18 adult studies were included. In the included studies, MR imaging has shown good diagnostic performance in differentiating between benign and malignant ovarian masses. MR imaging techniques including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to further improve the diagnostic performance. CONCLUSION The addition of DWI with apparent diffusion coefficient (ADC) values measured in enhancing components of solid lesions and DCE imaging may further increase the good diagnostic performance of MR imaging in the pre-operative differentiation between benign and malignant ovarian masses by increasing specificity. Prospective age-specific studies are needed to confirm the high diagnostic performance of MR imaging in children and adolescents with a sonographically indeterminate ovarian mass. KEY POINTS • MR imaging, based on several morphological features, is of good diagnostic performance in differentiating between benign and malignant ovarian masses. Sensitivity and specificity varied between 84.8 to 100% and 20.0 to 98.4%, respectively. • MR imaging techniques like diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) imaging seem to improve the diagnostic performance. • Specific studies in children and adolescents with ovarian masses are required to confirm the suggested increased diagnostic performance of DWI and DCE in this population.
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Affiliation(s)
- Lotte W E van Nimwegen
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | | | - Ronald R de Krijger
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands.,Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Caroline C C Hulsker
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | - Angelique J Goverde
- Department of Reproductive Medicine and Gynaecology, University Medical Center of Utrecht, Utrecht, The Netherlands
| | - József Zsiros
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands
| | - Annemieke S Littooij
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584, CS, Utrecht, The Netherlands.,Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
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16
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Value of normalized apparent diffusion coefficients in differentiating between borderline and malignant epithelial ovarian tumors. Eur J Radiol 2019; 118:44-50. [PMID: 31439257 DOI: 10.1016/j.ejrad.2019.06.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/21/2019] [Accepted: 06/25/2019] [Indexed: 11/22/2022]
Abstract
PURPOSE To compare the diagnostic performance of normalized apparent diffusion coefficients (nADCs) of different references with that of ADCs at differentb factors in differentiating borderline epithelial ovarian tumors (BEOTs) from malignant epithelial ovarian tumors (MEOTs). METHOD This retrospective study included 53 BEOTs and 148 MEOTs. Conventional magnetic resonance and diffusion-weighted imaging withb factors of 800 and 1000s/mm2 were performed. ADC was measured three times at solid components of tumors, gluteus maximus muscle (GMM), iliopsoas muscle (IM) and urine and then averaged. ADCtumor, nADCs were then obtained. Differences and the diagnostic performance of ADCtumor and nADCs between BEOTs and MEOTs with different b factors were compared. RESULTS ADCtumor, nADCs regardless of b factors were significantly higher in BEOTs than MEOTs. The diagnostic performance of nADCurine regardless of b factors was significantly larger than that of nADCGMM and nADCIM. There was no significant difference in the diagnostic performance between ADCtumor and nADCurine regardless of b factors. A significantly lower ADCtumor and a larger diagnostic performance for ADCtumor was found with a b factor of 1000s/mm2 than 800 s/mm2. There were no significant differences in nADCurine of BEOTs or MEOTs or in the diagnostic performance of nADCurine with b factors between 800 and 1000s/mm2. CONCLUSIONS ADCtumor and nADCs were both capable of differentiating BEOTs from MEOTs. nADCurine was the best of all nADCs and was superior to ADCtumor because of its stable performance in differentiating BEOTs from MEOTs, regardless of b factors.
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17
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External validation of ADNEX MR SCORING system: a single-centre retrospective study. Clin Radiol 2018; 74:131-139. [PMID: 30514585 DOI: 10.1016/j.crad.2018.10.014] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/31/2018] [Indexed: 11/20/2022]
Abstract
AIM To evaluate the accuracy of the ADNEX MR SCORING system for characterising adnexal masses. MATERIALS AND METHODS An institutional review board approved this retrospective study. The study population comprised 663 women who underwent magnetic resonance imaging (MRI) from January 2007 to December 2014 to characterise 778 adnexal masses that were indeterminate under ultrasonography (590 benign and 188 malignant). Two radiologists independently reviewed the MRI images. The masses were scored from 1 to 5 according to the ADNEX MR SCORING system. The diagnostic performance of the system was evaluated by receiver operating characteristic (ROC) analysis. Masses scored 4 or greater were considered malignant (including tumours of borderline malignancy or low malignant potential). RESULTS The malignancy rates of masses with scores of 2, 3, 4 and 5 were 1.9% (8/419), 12.8% (19/149), 62.6% (57/91) and 87.4% (104/119) for reader 1 and 2.1% (9/424), 13.6% (20/147), 67.6% (71/105) and 86.3% (88/102) for reader 2, respectively. The areas under the ROC curves for the differentiation of benign and malignant masses were 0.929 and 0.923, respectively; the sensitivity, specificity and accuracy of diagnosis were 85.6% (161/188), 91.7% (541/590), and 90.2% (702/778) for reader 1 and 84.6% (159/188), 91.9% (542/590), and 90.1% (701/778) for reader 2, respectively. Tumours of borderline malignancy or low malignant potential had a higher rate of misclassification (46.1%) than other malignant tumours (6-7.4%). CONCLUSION The ADNEX MR SCORING system was highly accurate in differentiating benign and malignant adnexal masses, although it may be less accurate for tumours of borderline malignancy or low malignant potential.
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18
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The utility of magnetic resonance imaging in the diagnosis and management of pediatric benign ovarian lesions. J Pediatr Surg 2018; 53:2013-2018. [PMID: 29433795 DOI: 10.1016/j.jpedsurg.2017.12.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 12/27/2017] [Accepted: 12/29/2017] [Indexed: 02/02/2023]
Abstract
BACKGROUND The utility of magnetic resonance imaging (MRI) in the diagnosis and management of pediatric ovarian lesions has not been well defined. METHODS A retrospective review of all girls who underwent MRI evaluation of ovarian masses during the period 2009-2015 was performed. The accuracy of MRI was evaluated by comparing results with surgical findings, pathology reports, and subsequent imaging. The influence of the MRI on the treatment plan was specifically explored. RESULTS Eighteen girls, 12-17years of age, underwent 27 MRIs, subsequent to ultrasound identification of ovarian lesions. Of 9 neoplastic lesions diagnosed on MRI, 8 (89%) were confirmed by surgical and pathological findings. Of 18 functional lesions, 17 (94.4%) were confirmed pathologically or by resolution on subsequent imaging. Twenty MRI exams (74%) directly influenced the treatment plan, by leading to appropriate operative intervention in 9 and appropriate observation in 11. The extent of ovarian resection was guided by MRI findings in 8 of 9 (89%) neoplastic lesions. For characterizing lesions as neoplastic, the sensitivity, specificity, negative predictive value, positive predictive value, and accuracy of MRI were 89%, 94%, 94%, 89%, and 93% respectively. CONCLUSIONS MRI can differentiate functional from neoplastic pediatric ovarian masses, and guide ovarian resection in appropriate cases. LEVEL OF STUDY II.
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19
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Lam CZ, Chavhan GB. Magnetic resonance imaging of pediatric adnexal masses and mimics. Pediatr Radiol 2018; 48:1291-1306. [PMID: 30078037 DOI: 10.1007/s00247-018-4073-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/07/2017] [Accepted: 01/03/2018] [Indexed: 01/09/2023]
Abstract
Evaluation of adnexal masses in children and adolescents relies on imaging for appropriate diagnosis and management. Pelvic MRI is indicated and adds value for all adnexal masses when surgery is considered or when ultrasound findings are indeterminate. Specifically, features on MR imaging can help distinguish between benign and malignant lesions, which not only influences the decision between surgery and conservative treatment, but also the type of surgery to be performed, including potential use of fertility-sparing approaches with minimally invasive techniques. Larger size, younger age, presentation with precocious puberty or virilization, restricted diffusion in a solid mass, and rapid and strong enhancement of solid components are all features concerning for malignancy. In addition, distinctive MR imaging features of adnexal masses, combined with clinical and laboratory biomarkers, might suggest a specific histological diagnosis.
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Affiliation(s)
- Christopher Z Lam
- Department of Diagnostic Imaging, The Hospital for Sick Children, Medical Imaging, University of Toronto, 555 University Ave., Toronto, ON, M5G 1X8, Canada.
| | - Govind B Chavhan
- Department of Diagnostic Imaging, The Hospital for Sick Children, Medical Imaging, University of Toronto, 555 University Ave., Toronto, ON, M5G 1X8, Canada
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20
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Shimada K, Matsumoto K, Mimura T, Ishikawa T, Munechika J, Ohgiya Y, Kushima M, Hirose Y, Asami Y, Iitsuka C, Miyamoto S, Onuki M, Tsunoda H, Matsuoka R, Ichizuka K, Sekizawa A. Ultrasound-based logistic regression model LR2 versus magnetic resonance imaging for discriminating between benign and malignant adnexal masses: a prospective study. Int J Clin Oncol 2017; 23:514-521. [PMID: 29236181 DOI: 10.1007/s10147-017-1222-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 12/02/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND The diagnostic performances of the International Ovarian Tumor Analysis (IOTA) ultrasound-based logistic regression model (LR2) and magnetic resonance imaging (MRI) in discriminating between benign and malignant adnexal masses have not been directly compared in a single study. METHODS Using the IOTA LR2 model and subjective interpretation of MRI findings by experienced radiologists, 265 consecutive patients with adnexal masses were preoperatively evaluated in two hospitals between February 2014 and December 2015. Definitive histological diagnosis of excised tissues was used as a gold standard. RESULTS From the 265 study subjects, 54 (20.4%) tumors were histologically diagnosed as malignant (including 11 borderline and 3 metastatic tumors). Preoperative diagnoses of malignant tumors showed 91.7% total agreement between IOTA LR2 and MRI, with a kappa value of 0.77 [95% confidence interval (CI), 0.68-0.86]. Sensitivity of IOTA LR2 (0.94, 95% CI, 0.85-0.98) for predicting malignant tumors was similar to that of MRI (0.96, 95% CI, 0.87-0.99; P = 0.99), whereas specificity of IOTA LR2 (0.98, 95% CI, 0.95-0.99) was significantly higher than that of MRI (0.91, 95% CI, 0.87-0.95; P = 0.002). Combined IOTA LR2 and MRI results gave the greatest sensitivity (1.00, 95% CI, 0.93-1.00) and had similar specificity (0.91, 95% CI, 0.86-0.94) to MRI. CONCLUSIONS The IOTA LR2 model had a similar sensitivity to MRI for discriminating between benign and malignant tumors and a higher specificity compared with MRI. Our findings suggest that the IOTA LR2 model, either alone or in conjunction with MRI, should be included in preoperative evaluation of adnexal masses.
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Affiliation(s)
- Kanane Shimada
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan.,Department of Obstetrics and Gynecology, NTT Medical Center Tokyo, 5-9-22 Higashi-Gotanda, Shinagawa-ku, Tokyo, 141-8625, Japan
| | - Koji Matsumoto
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan.
| | - Takashi Mimura
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Tetsuya Ishikawa
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Jiro Munechika
- Department of Radiology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Yoshimitsu Ohgiya
- Department of Radiology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Miki Kushima
- Department of Pathology, Koto Toyosu Hospital, Showa University School of Medicine, 5-1-38 Toyosu, Koto-ku, Tokyo, 135-8577, Japan
| | - Yusuke Hirose
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Yuka Asami
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Chiaki Iitsuka
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Shingo Miyamoto
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Mamiko Onuki
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Hajime Tsunoda
- Department of Obstetrics and Gynecology, NTT Medical Center Tokyo, 5-9-22 Higashi-Gotanda, Shinagawa-ku, Tokyo, 141-8625, Japan
| | - Ryu Matsuoka
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Kiyotake Ichizuka
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
| | - Akihiko Sekizawa
- Department of Obstetrics and Gynecology, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8666, Japan
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Liu D, Zhang L, Indima N, Peng K, Li Q, Hua T, Tang G. CT and MRI findings of type I and type II epithelial ovarian cancer. Eur J Radiol 2017; 90:225-233. [PMID: 28583639 DOI: 10.1016/j.ejrad.2017.02.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2016] [Revised: 01/28/2017] [Accepted: 02/13/2017] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To assess whether types I and II epithelial ovarian cancer (EOC) differ in CT and MRI imaging features. METHODS For this retrospective study, we enrolled 65 patients with 68 ovarian lesions that have been pathologically proven to be EOC. Of these patients, 38 cases underwent MR examinations only, 15 cases underwent CT examinations only, and 12 cases completed both examinations. The clinical information [age, CA-125, menopausal status, and Ki-67] and imaging findings were compared between two types of EOCs. The diagnostic performance of image findings were assessed by receiver-operating characteristic curve(ROC) analysis. The association between EOC type and imaging features was assessed by multivariate logistic regression analysis. The random forest approach was used to build a classifier in differential diagnosis between two types of EOCs. RESULTS Of the 68 EOC lesions, 24 lesions were categorized as types I and other 44 lesions as type II based on the immunohistochemical results, respectively. Patients in type I EOCs were more likely to involve menopausal women and showed lower CA-125 and Ki-67 values (Ki-67<30%) than patients in type II EOCs. The imaging characteristics of type II EOCs frequently demonstrated a solid or predominantly solid mass (38.6% vs. 12.5%, P<0.05), smaller lesions (diameter <6cm; 27.3% vs. 4.2%, P<0.05), absence of mural nodules (65.9% vs. 25.9%, P=0.001), and mild enhancement (84.1% vs. 54.2%, P<0.05) compared to type I EOCs. Combination of tumor size, morphology, mural nodule, enhancement degrees (AUC=0.808) has a higher specificity (87.50%) and positive predictive value (90.0%) than any single image finding alone in differential diagnosis between two types of EOCs. The multivariate logistic regression analysis showed that enhancement degrees(OR 0.200, P<0.05),mural nodule(OR 0.158, P<0.05) significantly influence EOC classification. Random forests model identified both as the most important discriminating variables. The diagnostic accuracy of the classifier was 73.53%. CONCLUSIONS Differences in imaging characteristics existed between two types of EOCs. Combination of several image findings improved the preoperative diagnostic performance, which is helpful for the clinical treatment and prognosis evaluation.
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Affiliation(s)
- Dong Liu
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China; Department of Radiology, Qingdao Hiser Medical Center of Medical College of Qingdao University, 266033, China.
| | - Lin Zhang
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
| | - Nekitsing Indima
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
| | - Kun Peng
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
| | - Qianyu Li
- Department of Pathology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
| | - Ting Hua
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
| | - Guangyu Tang
- Department of Radiology, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Shanghai, 200072, China.
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22
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Park SY, Oh YT, Jung DC. Differentiation between borderline and benign ovarian tumors: combined analysis of MRI with tumor markers for large cystic masses (≥5 cm). Acta Radiol 2016; 57:633-9. [PMID: 26231948 DOI: 10.1177/0284185115597266] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Accepted: 06/19/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND There is overlap in imaging features between borderline and benign ovarian tumors. PURPOSE To analyze diagnostic performance of magnetic resonance imaging (MRI) combined with tumor markers for differentiating borderline from benign ovarian tumor. MATERIAL AND METHODS Ninety-nine patient with MRI and surgically confirmed ovarian tumors 5 cm or larger (borderline, n = 37; benign, n = 62) were included. On MRI, tumor size, septal number (0; 1-4; 5 or more), and presence of solid portion such as papillary projection or septal thickening 0.5 cm or larger were investigated. Serum tumor markers (carbohydrate antigen 125 [CA 125] and CA 19-9) were recorded. Multivariate analysis was conducted for assessing whether combined MRI with tumor markers could differentiate borderline from benign tumor. The diagnostic performance was also analyzed. RESULTS Incidence of solid portion was 67.6% (25/37) in borderline and 3.2% (2/62) in benign tumors (P < 0.05). In all patients, without combined analysis of MRI with tumor markers, multivariate analysis revealed solid portion (P < 0.001) and CA 125 (P = 0.039) were significant for predicting borderline tumors. When combined analysis of MRI with CA 125 ((i) the presence of solid portion or (ii) CA 125 > 44.1 U/mL with septal number ≥5 for borderline tumor) is incorporated to multivariate analysis, it was only significant (P = 0.001). The sensitivity, specificity, PPV, NPV, and accuracy of combined analysis of MRI with CA 125 were 89.1%, 91.9%, 86.8%, 93.4, and 90.9%, respectively. CONCLUSION Combined analysis of MRI with CA 125 may allow better differentiation between borderline and benign ovarian tumor compared with MRI alone.
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Affiliation(s)
- Sung Yoon Park
- Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Taik Oh
- Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dae Chul Jung
- Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Republic of Korea
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Peyrot H, Montoriol PF, Canis M. Spontaneous T1-Hyperintensity Within an Ovarian Lesion: Spectrum of Diagnoses. Can Assoc Radiol J 2015; 66:115-20. [PMID: 25578742 DOI: 10.1016/j.carj.2014.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 07/12/2014] [Accepted: 07/25/2014] [Indexed: 10/24/2022] Open
Abstract
Whenever elevated signal intensity is displayed at magnetic resonance imaging (MRI) within an ovarian lesion on unenhanced T1-weighted sequences, some specific diagnoses should be considered because only 3 main components may be responsible for this T1-hyperintensity at MRI: fat, blood products, and proteinaceous or mucinous material. The associated clinical data and concomitant use of T2-weighted sequences and fat-saturation techniques is mandatory to make this tissue characterization possible. The goal of this pictorial review is to provide a simple radiologic reasoning and the differential diagnoses to consider in the presence of spontaneous elevated signal intensity on T1-weighted sequences within a cystic or solid ovarian tumour.
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Affiliation(s)
- Hélène Peyrot
- Department of Radiology and Medical Imaging, Centre Hospitalier Universitaire Estaing, Clermont-Ferrand, France
| | - Pierre-François Montoriol
- Department of Radiology and Medical Imaging, Centre Hospitalier Universitaire Estaing, Clermont-Ferrand, France.
| | - Michel Canis
- Department of Gynaecologic Surgery, Centre Hospitalier Universitaire Estaing, Clermont-Ferrand, France
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Magnetic resonance imaging findings of mucinous borderline ovarian tumors: comparison of intestinal and endocervical subtypes. ACTA ACUST UNITED AC 2014; 40:1753-60. [DOI: 10.1007/s00261-014-0325-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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