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Singla V, Dawadi K, Singh T, Prabhakar N, Srinivasan R, Suri V, Khandelwal N. Multiparametric MRI Evaluation of Complex Ovarian Masses. Curr Probl Diagn Radiol 2019; 50:34-40. [PMID: 31399230 DOI: 10.1067/j.cpradiol.2019.07.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 07/04/2019] [Accepted: 07/08/2019] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To assess the role of diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging in the categorization of complex ovarian masses into benign and malignant. MATERIALS AND METHODS This prospective study was done on 33 complex ovarian masses. T1 and T2-weighted sequences, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced magnetic resonance imaging were performed on 1.5 T MRI. Time-intensity curves, tissue signal intensity on unenhanced T1 images (SI0), maximum absolute contrast enhancement (SImax), time to reach SImax (Tmax), maximum relative SI (SIrel = [SImax - SI0]/SI0 ×100), maximum Slope (Slopemax = SIrel/Tmax ×100), and wash in rate (WIR = [SImax - SI0]/Tmax) were calculated. Histopathological diagnosis was taken as gold standard. RESULTS A total of 20/33 masses were benign, 2/33 were borderline tumors, and 11/33 were malignant. Diffusion restriction was seen in all malignant masses and 13/20 benign masses. The mean apparent diffusion coefficient values showed a significant difference between malignant and benign, with 81.8% sensitivity and 63.6% specificity. Type III curve showed 100% specificity for malignant lesions. Tmax and Slopemax were useful in differentiating benign and malignant masses; with Tmax cut-off at 73.5 seconds having a high specificity (81.8%) and Slopemax cut-off at 0.83%/s having high sensitivity (91%) and negative predictive value (94.4%). CONCLUSION Multiparametric MRI confers high diagnostic accuracy in stratifying complex ovarian masses.
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Affiliation(s)
- Veenu Singla
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India.
| | - Kapil Dawadi
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Tulika Singh
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Nidhi Prabhakar
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Radhika Srinivasan
- Department of Cytology and Gynaecological Pathology, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
| | - Vanita Suri
- Department of Obstetrics and Gynaecology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Niranjan Khandelwal
- Department of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education Research (PGIMER), Chandigarh, India
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Wang X, Yang S, Lv G, Liao J, Wu S, Zhang W. Combination of GI-RADS and 3D-CEUS for differential diagnosis of ovarian masses. ACTA ACUST UNITED AC 2019; 65:959-964. [PMID: 31389505 DOI: 10.1590/1806-9282.65.7.959] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 08/05/2018] [Indexed: 12/30/2022]
Abstract
OBJECTIVE The purpose of this study is to evaluate the efficacy of the combination of gynecologic imaging reporting and data system (GI-RADS) ultrasonographic stratification and three-dimensional contrast-enhanced ultrasonography (3D-CEUS) in order to distinguish malignant from benign ovarian masses. METHODS In this study, 102 patients with ovarian masses were examined by both two-dimensional ultrasound(2D-US) and 3D-CEUS. Sonographic features of ovarian masses obtained from 3D-CEUS were analyzed and compared with 2D-US. All patients with ovarian masses were confirmed by operational pathology or long-term follow-up results. RESULTS (1)The Chi-square test and multiple Logistic regression analysis confirmed that there were only eight independent predictors of malignant masses, including thick septa (≥3mm), thick papillary projections(≥7mm), solid areas, presence of ascites, central vascularization, contrast enhancement, distribution of contrast agent, and vascular characteristics of the solid part and their odds ratios which were 5.52, 5.39, 4.94, 4.34, 5.92, 7.44, 6.09, and 7.67, respectively (P<0.05). (2)These eight signs were used to combine the GI-RADS with 3D-CEUS scoring system in which the corresponding value of the area under the curve (AUC) was 0.969, which was superior to using GI-RADS lonely (Z-value=1.64, P<0.025). Using 4 points as the cut-off, the scoring system showed the performance was clearly better than using GI-RADS alone (P<0.05). (3) The Kappa value was 0.872 for two different clinicians with equal experience. CONCLUSIONS The combination of GI-RADS and 3D-CEUS scoring system would be a more effective method to distinguish malignant from benign ovarian masses.
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Affiliation(s)
- Xiali Wang
- Department of Clinical Medicine, Quanzhou Medical College, Quanzhou 362000, China.,Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
| | - Shuping Yang
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
| | - Guorong Lv
- Department of Clinical Medicine, Quanzhou Medical College, Quanzhou 362000, China.,Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, China.,Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
| | - Jianmei Liao
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
| | - Shufen Wu
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
| | - Weina Zhang
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou 363000, China
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Mubarak AI, Morani AC, Samuel J, Sun J, Wei W, Bhosale P. Can Presurgical Ultrasound Predict Survival in Women With Ovarian Masses? Ultrasound Q 2019; 35:39-44. [PMID: 30516730 PMCID: PMC11864591 DOI: 10.1097/ruq.0000000000000401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE This study aimed to determine the ability of ultrasound to predict survival and detect more aggressive tumors in women with ovarian masses. MATERIALS AND METHODS Institutional review board approval was obtained. A total of 167 patients who presented with adnexal mass/masses were included. These were documented as benign or malignant on ultrasound. Age, date of diagnosis and date of death, type of tumor, and tumor marker cancer antigen 125 (CA-125) values were recorded. A CA-125 value of less than 35 U/mL was considered normal. All cases underwent surgery. Pathologic findings were considered as reference standard. The 2 × 2 cross-tabulations were used to correlate dichotomized CA-125, US diagnosis (benign vs malignant), and pathologic status. Difference of distributions was tested using the Wilcoxon rank sum test, and their association was tested using the Fisher exact test. All tests were 2-sided, and P values of 0.05 or less were considered statistically significant. Kaplan-Meir curves were generated to estimate survival. RESULTS There was a statistically significant difference in patients with benign versus malignant tumors based on pathology (P < 0.0001) and ultrasound (P < 0.0003). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of ultrasound were 55%, 86%, 90% and 46%, and 81%. Patients diagnosed as having malignant tumors based on ultrasound had statistically significant worse overall survival. Probability of survival based on pathologic diagnosis of malignancy was statistically significant at P < 0.0003; based on ultrasound, P < 0.0001; and based on CA-125, P < 0.041. CONCLUSION Patients who had ultrasound-based prediction of ovarian malignancy had overall worse survival probability (P < 0.0001) compared with CA-125- or pathology-based prediction.
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Affiliation(s)
- Ahmad Iyad Mubarak
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ajaykumar C Morani
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jessica Samuel
- University of California at Los Angeles, Los Angeles, CA, United States
| | - Jia Sun
- Department of Biotatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wei Wei
- Department of Biotatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Priya Bhosale
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Yan F, Song Z, Du M, Klibanov AL. Ultrasound molecular imaging for differentiation of benign and malignant tumors in patients. Quant Imaging Med Surg 2018; 8:1078-1083. [PMID: 30701161 DOI: 10.21037/qims.2018.12.08] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Fei Yan
- Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Zhuqing Song
- Department of Breast Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Meng Du
- Department of Ultrasound Medicine, Laboratory of Ultrasound Molecular Imaging, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Alexander L Klibanov
- Cardiovascular Division and Robert M. Berne Cardiovascular Imaging Center, University of Virginia, Charlottesville, VA, 22908, USA
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Rapisarda AMC, Cianci A, Caruso S, Vitale SG, Valenti G, Piombino E, Cianci S. Benign multicystic mesothelioma and peritoneal inclusion cysts: are they the same clinical and histopathological entities? A systematic review to find an evidence-based management. Arch Gynecol Obstet 2018; 297:1353-1375. [PMID: 29511797 DOI: 10.1007/s00404-018-4728-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 02/28/2018] [Indexed: 10/25/2022]
Abstract
PURPOSE Peritoneal mesothelial cysts (PMC) are a clinical dilemma because of their true pathogenic nature. Many definitions have been associated with PMC, including "benign multicystic mesothelioma", "cystic mesothelioma", "multilocular peritoneal inclusion cysts", ''inflammatory cysts of the peritoneum" or "postoperative peritoneal cyst". METHODS We herein performed a systematic review of the literature focusing on clinical and histopathological aspects of PMC, diagnosis, and therapies. Moreover, we described our experience with a case of PMC in a young female. RESULTS Since there is often a history of prior surgery or inflammatory disease, most authors consider PMC of reactive origin. However, in some cases they occur without any documentable signs of disease or injury. A variety of clinical findings can complicate the preoperative assessment and a multitude of histological pictures may potentially lead to a misdiagnosis. The absence of a uniform treatment strategy and lack of long-term follow-up often hinder the accurate definition leading to unnecessary or unnecessarily aggressive therapy. CONCLUSIONS PMC are more common than had previously been thought. Most authors consider them non-neoplastic; thus the designation of "peritoneal inclusion cyst" is preferable. The term "mesothelioma" should be used only in cases of histological evidences of atypia. The high rates of recurrence suggest that the goal of treatment should not be necessarily complete eradication, but symptomatic relief through individualized treatment. This is a topic of particular importance, especially in young female where recurrence rates could be lower than those reported in adults and where an improperly aggressive treatment could have repercussions on fertility.
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Affiliation(s)
| | - Antonio Cianci
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Salvatore Caruso
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Salvatore Giovanni Vitale
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy.
| | - Gaetano Valenti
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Eliana Piombino
- Department of Medical and Surgical Sciences and Advanced Technologies, G.F. Ingrassia, Azienda Ospedaliero-Universitaria "Policlinico-Vittorio Emanuele", Anatomic Pathology Section, School of Medicine, University of Catania, Catania, Italy
| | - Stefano Cianci
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Catholic University of the Sacred Heart, Rome, Italy
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