1
|
Chen T, Qian X, Zhu Z, Zhang Y, Wei C, Shen X, Zhang C, Shen J. Assessment of the O-RADS scoring system for the differentiation of different types of ovarian neoplasms: A modified approach with non-DCE-MRI. Clin Imaging 2024; 116:110285. [PMID: 39423690 DOI: 10.1016/j.clinimag.2024.110285] [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: 07/01/2024] [Revised: 09/06/2024] [Accepted: 09/07/2024] [Indexed: 10/21/2024]
Abstract
PURPOSE The O-RADS MRI score stratifies adnexal mass risk with characteristics of T1-weighted, T2-weighed and dynamic contrast-enhanced (DCE) images. We explored a modified approach to evaluate the value of incorporation DWI/ADC with non-DCE-MRI in ORADS scoring system, and to assess the diagnostic performance and interreader consistency in differentiating ovarian neoplasm with different types. METHODS This retrospective study included 218 women who underwent pelvic MRI with 221 ovarian tumors between January 2017 and December 2021. Two radiologists independently assessed each lesion using the original and modified O-RADS approach (incorporating DWI/ADC with non-DCE). Cohen's weighted-kappa and ROC analyses were employed to assess interreader consistency and diagnostic efficiency across all lesions and three ovarian neoplasms categories. RESULTS The area under the ROC curve (AUC) of the original protocol was 0.945 for all lesions and 0.947, 0.992, and 0.758 for the epithelial cell, germ cell and sex cord-stromal neoplasms. The modified approach achieved AUCs of 0.959 for all lesions and 0.962, 0.997, and 0.837 for the three categories. The interreader agreement was 'excellent' for all lesions and 'good' for the subgroups with the original protocol, improving to 'excellent' for all categories with the modified approach. CONCLUSION A modified O-RADS incorporating DWI/ADC with non-DCE MRI yields high diagnostic performance in differentiation of different types of ovarian neoplasms. It further improves consistency in subgroup interpretation. The modified approach can serve as an effective diagnostic tool without DCE, further promoting its adoption in primary hospitals.
Collapse
Affiliation(s)
- Tong Chen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Xujun Qian
- The hospital in Loujiang New Town, Taicang City, Suzhou 215000, China
| | - Zhi Zhu
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Yueyue Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Chaogang Wei
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Xiaohong Shen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Caiyuan Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China
| | - Junkang Shen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215000, China; Institute of Imaging Medicine, Soochow University, Suzhou 215000, China.
| |
Collapse
|
2
|
Li Y, Jian J, Ge H, Gao X, Qiang J. Peritumoral MRI Radiomics Features Increase the Evaluation Efficiency for Response to Chemotherapy in Patients With Epithelial Ovarian Cancer. J Magn Reson Imaging 2024; 60:2718-2727. [PMID: 38517321 DOI: 10.1002/jmri.29359] [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] [Received: 11/20/2023] [Revised: 03/11/2024] [Accepted: 03/11/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND It remains unclear whether extracting peritumoral volume (PTV) radiomics features are useful tools for evaluating response to chemotherapy of epithelial ovarian cancer (EOC). PURPOSE To evaluate MRI radiomics signatures (RS) capturing subtle changes of PTV and their added evaluation performance to whole tumor volume (WTV) for response to chemotherapy in patients with EOC. STUDY TYPE Retrospective. POPULATION 219 patients aged from 15 to 79 years were enrolled. FIELD STRENGTH/SEQUENCE 3.0 or 1.5T, axial fat-suppressed T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), and contrast enhanced T1-weighted imaging (CE-T1WI). ASSESSMENT MRI features were extracted from the four axial sequences and six different volumes of interest (VOIs) (WTV and WTV + PTV (WPTV)) with different peritumor sizes (PS) ranging from 1 to 5 mm. Those features underwent preprocessing, and the most informative features were selected using minimum redundancy maximum relevance and least absolute shrinkage and selection operator to construct the RS. The optimal RS, with the highest area under the curve (AUC) of receiver operating characteristic was then integrated with independent clinical characteristics through multivariable logistic regression to construct the radiomics-clinical model (RCM). STATISTICAL TESTS Mann-Whitney U test, chi-squared test, DeLong test, log-rank test. P < 0.05 indicated a significant difference. RESULTS All the RSs constructed on WPTV exhibited higher AUCs (0.720-0.756) than WTV (0.671). Of which, RS with PS = 2 mm displayed a significantly better performance (AUC = 0.756). International Federation of Gynecology and Obstetrics (FIGO) stage was identified as the exclusive independent clinical evaluation characteristic, and the RCM demonstrated higher AUC (0.790) than the RS, but without statistical significance (P = 0.261). DATA CONCLUSION The radiomics features extracted from PTV could increase the efficiency of WTV radiomics for evaluating the chemotherapy response of EOC. The cut-off of 2 mm PTV was a reasonable value to obtain effective evaluation efficiency. LEVEL OF EVIDENCE 4 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Yong'ai Li
- Department of Radiology, Changzhi People's Hospital, Changzhi, Shanxi, China
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Junming Jian
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
| | - Huijie Ge
- Department of Radiology, Changzhi People's Hospital, Changzhi, Shanxi, China
| | - Xin Gao
- Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu, China
- Jinan Guoke Medical Engineering and Technology Development Co., Ltd., Jinan, Shandong, China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| |
Collapse
|
3
|
Avesani G, Panico C, Nougaret S, Woitek R, Gui B, Sala E. ESR Essentials: characterisation and staging of adnexal masses with MRI and CT-practice recommendations by ESUR. Eur Radiol 2024; 34:7673-7689. [PMID: 38849662 PMCID: PMC11557651 DOI: 10.1007/s00330-024-10817-1] [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: 01/21/2024] [Revised: 03/01/2024] [Accepted: 03/23/2024] [Indexed: 06/09/2024]
Abstract
Ovarian masses encompass various conditions, from benign to highly malignant, and imaging plays a vital role in their diagnosis and management. Ultrasound, particularly transvaginal ultrasound, is the foremost diagnostic method for adnexal masses. Magnetic Resonance Imaging (MRI) is advised for more precise characterisation if ultrasound results are inconclusive. The ovarian-adnexal reporting and data system (O-RADS) MRI lexicon and scoring system provides a standardised method for describing, assessing, and categorising the risk of each ovarian mass. Determining a histological differential diagnosis of the mass may influence treatment decision-making and treatment planning. When ultrasound or MRI suggests the possibility of cancer, computed tomography (CT) is the preferred imaging technique for staging. It is essential to outline the extent of the malignancy, guide treatment decisions, and evaluate the feasibility of cytoreductive surgery. This article provides a comprehensive overview of the key imaging processes in evaluating and managing ovarian masses, from initial diagnosis to initial treatment. It also includes pertinent recommendations for properly performing and interpreting various imaging modalities. KEY POINTS: MRI is the modality of choice for indeterminate ovarian masses at ultrasound, and the O-RADS MRI lexicon and score enable unequivocal communication with clinicians. CT is the recommended modality for suspected ovarian masses to tailor treatment and surgery. Multidisciplinary meetings integrate information and help decide the most appropriate treatment for each patient.
Collapse
Affiliation(s)
- Giacomo Avesani
- Department of Imaging and Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
| | - Camilla Panico
- Department of Imaging and Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Stephanie Nougaret
- Department of Radiology, PINKCC Lab, IRCM INSERM, SIRIC, Montpellier, France
| | - Ramona Woitek
- Research Centre for Medical Image Analysis and Artificial Intelligence, Danube Private University, Krems, Austria
| | - Benedetta Gui
- Department of Imaging and Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Evis Sala
- Department of Imaging and Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| |
Collapse
|
4
|
Liu Y, Zheng X, Fan D, Shen Z, Wu Z, Li S. CT-based radiomic analysis for categorization of ovarian sex cord-stromal tumors and epithelial ovarian cancers. Abdom Radiol (NY) 2024; 49:4131-4139. [PMID: 38896249 DOI: 10.1007/s00261-024-04437-y] [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] [Received: 03/21/2024] [Revised: 06/05/2024] [Accepted: 06/06/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE To evaluate the diagnostic potential of radiomic analyses based on machine learning that rely on contrast-enhanced computerized tomography (CT) for categorizing ovarian sex cord-stromal tumors (SCSTs) and epithelial ovarian cancers (EOCs). METHODS We included a total of 225 patients with 230 tumors, who were randomly divided into training and test cohorts with a ratio of 8:2. Radiomic features were extracted from each tumor and dimensionally reduced using LASSO. We used univariate and multivariate analyses to identify independent predictors from clinical features and conventional CT parameters. Clinic-radiological model, radiomics model and mixed model were constructed respectively. We evaluated model performance via analysis of the receiver operating characteristic (ROC) curve and area under ROC curves (AUCs), and compared it across models using the Delong test. RESULTS We selected a support vector machine as the best classifier. Both radiomic and mixed model achieved good classification accuracy with AUC values of 0.923/0.930 in the training cohort, and 0.879/0.909 in the test cohort. The mixed model performed significantly better than the model based on clinical radiological information, with AUC values of 0.930 versus 0.826 (p = 0.000) in the training cohort and 0.905 versus 0.788 (p = 0.042) in the test cohort. CONCLUSION Radiomic analysis based on CT images is a reliable and noninvasive tool for identifying SCSTs and EOCs, outperforming experience radiologists.
Collapse
Affiliation(s)
- Yu Liu
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Xin Zheng
- Department of Radiology, The first affiliated hospital of guangzhou medical university, Guangzhou, 510000, Guangdong, China
| | - Dongdong Fan
- Department of Medical Affairs, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Zhou Shen
- Department of Urology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China
| | - Zhifa Wu
- Department of Radiology, The first affiliated hospital of guangzhou medical university, Guangzhou, 510000, Guangdong, China
| | - Shuang Li
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230001, Anhui, China.
| |
Collapse
|
5
|
Bhuvaneshwari KV, Lahza H, Sreenivasa BR, Lahza HFM, Shawly T, Poornima B. Optimising ovarian tumor classification using a novel CT sequence selection algorithm. Sci Rep 2024; 14:25010. [PMID: 39443517 PMCID: PMC11500337 DOI: 10.1038/s41598-024-75555-2] [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] [Received: 11/18/2023] [Accepted: 10/07/2024] [Indexed: 10/25/2024] Open
Abstract
Gynaecological cancers, especially ovarian cancer, remain a critical public health issue, particularly in regions like India, where there are challenges related to cancer awareness, variable pathology, and limited access to screening facilities. These challenges often lead to the diagnosis of cancer at advanced stages, resulting in poorer outcomes for patients. The goal of this study is to enhance the accuracy of classifying ovarian tumours, with a focus on distinguishing between malignant and early-stage cases, by applying advanced deep learning methods. In our approach, we utilized three pre-trained deep learning models-Xception, ResNet50V2, and ResNet50V2FPN-to classify ovarian tumors using publicly available Computed Tomography (CT) scan data. To further improve the model's performance, we developed a novel CT Sequence Selection Algorithm, which optimises the use of CT images for a more precise classification of ovarian tumours. The models were trained and evaluated on selected TIFF images, comparing the performance of the ResNet50V2FPN model with and without the CT Sequence Selection Algorithm. Our experimental results show the Comparative evaluation against the ResNet50V2 FPN model, both with and without the CT Sequence Selection Algorithm, demonstrates the superiority of the proposed algorithm over existing state-of-the-art methods. This research presents a promising approach for improving the early detection and management of gynecological cancers, with potential benefits for patient outcomes, especially in areas with limited healthcare resources.
Collapse
Affiliation(s)
- K V Bhuvaneshwari
- Department of Information Science & Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India
| | - Husam Lahza
- Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
| | - B R Sreenivasa
- Department of Computer Science & Design, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India.
| | - Hassan Fareed M Lahza
- Cybersecurity Department, Faculty of Computing, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Tawfeeq Shawly
- Department of Electrical Engineering, Faculty of Engineering at Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia
| | - B Poornima
- Department of Information Science & Engineering, Bapuji Institute of Engineering & Technology, Davanagere, Karnataka, India
| |
Collapse
|
6
|
Halaburda-Rola M, Grabowska-Derlatka L, Kraj L, Stec R, Derlatka P. Evaluation of Selected MRI Parameters in the Differentiation of Mucinous Ovarian Carcinomas and Metastatic Ovarian Tumors. Cancers (Basel) 2024; 16:3569. [PMID: 39518010 PMCID: PMC11545451 DOI: 10.3390/cancers16213569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2024] [Revised: 10/20/2024] [Accepted: 10/21/2024] [Indexed: 11/16/2024] Open
Abstract
Introduction: Analysis of selected MRI parameters in initial MRI for the characterization of ovarian masses enables differentiation between mucinous ovarian carcinoma and metastatic ovarian tumors. Material and Methods: A prospective analysis of contrast-enhanced MRI of patients with suspected ovarian masses diagnosed in ultrasound and CT examination. Morphological criteria, such as the size of lesion, bilateral location, presence of "mille-feuille sign", so-called Seidman criteria, as well as the diffusion weighted imaging and dynamic contrast enhancement of each lesion, were evaluated. Patients were allocated into two groups; the first group contained patients with mucinous ovarian cancer, and the second group contained patients with metastatic ovarian tumors. Results: A total of 35 patients were enrolled into the study. Median age was 49 in the first group and 59 in the second group of patients (p = 0.04). In the first group, all patients (100%) had unilateral lesions, and in the second group, 94% had bilateral tumors (p < 0.000001). In the first group, a tumor size equal or greater than 10 cm was present in 80% of patients, and the same was true for 21% of patients in the second group. The mille-feuille sign was present in 30% of patients from the first group and in 64% of patients from the second group. In the first group of patients, TTP was 410 and Perf.Max Enhancement was 141; in the second group, they were, respectively, 154 and 167 (p = 0.0001 and p = 0.5). Median ADC values in the first group were significantly higher in the first group than in the second group (p < 0.01). Conclusions: Significant differences in TTP and ADC values as well as in Seidman criteria enable reliable differentiation between the analyzed groups of tumors.
Collapse
Affiliation(s)
- Marta Halaburda-Rola
- Second Department of Clinical Radiology, Medical University of Warsaw, 02-091 Warszawa, Poland;
| | | | - Leszek Kraj
- Department of Oncology, Medical University of Warsaw, 02-091 Warszawa, Poland; (L.K.); (R.S.)
- Department of Molecular Biology, Institute of Genetics and Animal Biotechnology, Polish Academy of Science, 01-447 Magdalenka, Poland
| | - Rafal Stec
- Department of Oncology, Medical University of Warsaw, 02-091 Warszawa, Poland; (L.K.); (R.S.)
| | - Pawel Derlatka
- Second Department of Obstetrics and Gynecology, Medical University of Warsaw, 02-091 Warszawa, Poland;
| |
Collapse
|
7
|
Lawson B, Rajendran I, Smith J, Shakur A, Sadler V, Sadler TJ, Addley HC, Freeman S. Mimics of primary ovarian cancer and primary peritoneal carcinomatosis - A pictorial review. Clin Radiol 2024; 79:736-748. [PMID: 39068115 DOI: 10.1016/j.crad.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 07/30/2024]
Abstract
Numerous conditions can mimic ovarian malignancy. Identifying the origin of a pelvic mass or disseminated peritoneal abnormality on imaging is important to ensure that the patient receives optimal management by the appropriate clinical team. Ovarian cancer mimics include infections and other neoplastic processes, for example, actinomycosis, lymphoma, and sarcoma. We will illustrate intraperitoneal and extraperitoneal ovarian and non-ovarian mimics. Primary peritoneal carcinomatosis mimics include processes such as deep infiltrating endometriosis and rare causes such as gliomatosis peritonei and diffuse peritoneal leiomyomatosis. We aim to illustrate the multimodality key imaging appearances of common and rarer types of mimics.
Collapse
Affiliation(s)
- B Lawson
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom.
| | - I Rajendran
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - J Smith
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - A Shakur
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - V Sadler
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - T J Sadler
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - H C Addley
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| | - S Freeman
- Cambridge University Hospitals, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0QQ, United Kingdom
| |
Collapse
|
8
|
Zulfiqar M, Khafaji FA, Wasson M. Case 330: Ovarian Torsion in the Setting of Ovarian Hyperstimulation Syndrome. Radiology 2024; 313:e231864. [PMID: 39470423 DOI: 10.1148/radiol.231864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/30/2024]
Abstract
HISTORY A 30-year-old female patient with a history of infertility and no pregnancy presented to the gynecologic endometriosis clinic for follow-up 1 month after oocyte retrieval, to be evaluated for pelvic optimization before potential embryo transfer, with worsening dysmenorrhea, dyspareunia, and overall pelvic pain. Eleven years prior, the patient had undergone left ovarian cystectomy for treatment of endometrioma, as well as excision of deep infiltrating endometriosis. The oocyte retrieval procedure, where more than 30 eggs were retrieved, was complicated by ovarian hyperstimulation syndrome and intraperitoneal bleeding, which necessitated admission to the intensive care unit (ICU) for 3 days. Following discharge from the ICU, the patient experienced occasional on-and-off pressure of the urinary bladder and persistent aching pelvic pain. At the 1-month follow-up appointment, the patient's vital signs were assessed (blood pressure, 142/94 mm Hg; pulse rate, 95 per minute; temperature, 96.8 °F [36 °C]). Routine blood investigations, including white blood cell count, were within normal limits. Physical examination showed the abdomen was soft but there was mild pelvic tenderness. The serum β-human chorionic gonadotropin test result was negative for pregnancy, and urinalysis testing showed no leukocyte esterase or nitrites. MRI of the pelvis was performed to evaluate the worsening pain.
Collapse
Affiliation(s)
- Maria Zulfiqar
- From the Departments of Abdominal Imaging (M.Z.) and Gynecology (M.W.), Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054; and University of Arizona, Banner University Medical Center, Tucson, Ariz (F.A.K.)
| | - Fatima Al Khafaji
- From the Departments of Abdominal Imaging (M.Z.) and Gynecology (M.W.), Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054; and University of Arizona, Banner University Medical Center, Tucson, Ariz (F.A.K.)
| | - Megan Wasson
- From the Departments of Abdominal Imaging (M.Z.) and Gynecology (M.W.), Mayo Clinic Arizona, 5777 E Mayo Blvd, Phoenix, AZ 85054; and University of Arizona, Banner University Medical Center, Tucson, Ariz (F.A.K.)
| |
Collapse
|
9
|
Jara-Rosales S, González-Stegmaier R, Rotarou ES, Villarroel-Espíndola F. Risk Factors for Ovarian Cancer in South America: A Literature Review. J Pers Med 2024; 14:992. [PMID: 39338246 PMCID: PMC11433525 DOI: 10.3390/jpm14090992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 09/10/2024] [Accepted: 09/16/2024] [Indexed: 09/30/2024] Open
Abstract
Background/Objectives: In 2020, ovarian cancer ranked fourth in global incidence among gynecological cancers and remains the deadliest cancer affecting women's health. Survival rates are significantly higher when the disease is detected at early stages; however, the lack of effective early detection methods underscores the importance of identifying risk factors in order to implement preventive strategies. The objective of this work is to provide an overview of the risk factors of ovarian cancer in South America, emphasizing those linked to social determinants, genetic components, and comorbidities. Methods: A literature search was performed using PubMed and Google Scholar. MeSH descriptors and keywords, such as "BRCA1 genes," "BRCA2 genes", "Latin America", and "ovarian neoplasms" were used, along with terms related to socioeconomic and health factors. Inclusion criteria focused on original studies published in the last five years involving South American women. Results: Studies were identified from Argentina, Brazil, Chile, Colombia, Ecuador, and Peru. These studies addressed genetic factors, health status at diagnosis, and sociodemographic factors, revealing important data gaps, particularly on contraception and hormone replacement therapy. The prevalence of BRCA1 and BRCA2 mutations in South America is estimated to be 15-20% among women with inherited risk factors. Social, demographic and economic factors vary by country, although commonalities include a higher prevalence among women over 50 years of age, those with limited education, and those who face barriers to accessing health care. Conclusions: Although the literature does not conclusively establish a direct link between obesity and/or diabetes and the development of ovarian cancer, the indirect association highlights the need for further clinical studies. A general research gap related to risk factors of ovarian cancer could be observed in the South American region.
Collapse
Affiliation(s)
- Sergio Jara-Rosales
- Faculty of Health Care Sciences, School of Midwifery, Universidad San Sebastián, Los Leones Campus, Santiago 7510157, Chile
- Doctorate Program in Chronic Diseases, Faculty of Medicine and Science, Universidad San Sebastián, Los Leones Campus, Santiago 7510157, Chile
| | - Roxana González-Stegmaier
- Translational Medicine Laboratory, Instituto Oncológico Fundación Arturo López Pérez, Santiago 7500921, Chile
| | - Elena S Rotarou
- Doctorate Program in Chronic Diseases, Faculty of Medicine and Science, Universidad San Sebastián, Los Leones Campus, Santiago 7510157, Chile
- Faculty of Medicine and Science, Universidad San Sebastián, Los Leones Campus, Santiago 7510157, Chile
| | - Franz Villarroel-Espíndola
- Doctorate Program in Chronic Diseases, Faculty of Medicine and Science, Universidad San Sebastián, Los Leones Campus, Santiago 7510157, Chile
- Translational Medicine Laboratory, Instituto Oncológico Fundación Arturo López Pérez, Santiago 7500921, Chile
| |
Collapse
|
10
|
Akçay A, Dönmez Z, Peker AA, Toprak H, Gültekin MA. Diagnostic utility of Magnetic Resonance Imaging in discriminating immature teratoma: Insights from a case series. JOURNAL OF CLINICAL ULTRASOUND : JCU 2024; 52:976-981. [PMID: 38750408 DOI: 10.1002/jcu.23715] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 11/15/2024]
Abstract
Immature teratomas (IT) are rare germ cell tumors with malignant behavior, distinct from the benign mature teratomas. Clinical differentiation poses challenges, demanding a comprehensive, multidisciplinary diagnostic approach. This case series delves into the detailed radiological imaging findings of ITs. Pelvic MRI was conducted on five cases with adnexal masses, all of which were histopathologically confirmed as ITs. Radiologically, larger tumor size and scattered fatty components were key diagnostic indicators. This study underlines the importance of comprehensive evaluation in IT diagnosis and management, with MRI as an essential tool in the clinical workflow.
Collapse
Affiliation(s)
- Ahmet Akçay
- Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Zeynep Dönmez
- Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Abdusselim Adil Peker
- Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Hüseyin Toprak
- Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Mehmet Ali Gültekin
- Department of Radiology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| |
Collapse
|
11
|
Shi SY, Li YA, Qiang JW. Multiparametric MRI-based radiomics nomogram for differentiation of primary mucinous ovarian cancer from metastatic ovarian cancer. Abdom Radiol (NY) 2024:10.1007/s00261-024-04542-y. [PMID: 39215773 DOI: 10.1007/s00261-024-04542-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 08/15/2024] [Accepted: 08/16/2024] [Indexed: 09/04/2024]
Abstract
OBJECTIVE To develop a multiparametric magnetic resonance imaging (mpMRI)-based radiomics nomogram and evaluate its performance in differentiating primary mucinous ovarian cancer (PMOC) from metastatic ovarian cancer (MOC). METHODS A total of 194 patients with PMOC (n = 72) and MOC (n = 122) confirmed by histology were randomly divided into the primary cohort (n = 137) and validation cohort (n = 57). Radiomics features were extracted from axial fat-saturated T2-weighted imaging (FS-T2WI), diffusion-weighted imaging (DWI), and contrast-enhanced T1-weighted imaging (CE-T1WI) sequences of each lesion. The effective features were selected by minimum redundancy maximum relevance (mRMR) and least absolute shrinkage and selection operator (LASSO) regression to develop a radiomics model. Combined with clinical features, multivariate logistic regression analysis was employed to develop a radiomics nomogram. The efficiency of nomogram was evaluated using the receiver operating characteristic (ROC) curve analysis and compared using DeLong test. Finally, the goodness of fit and clinical benefit of nomogram were assessed by calibration curves and decision curve analysis, respectively. RESULTS The radiomics nomogram, by combining the mpMRI radiomics features with clinical features, yielded area under the curve (AUC) values of 0.931 and 0.934 in the primary and validation cohorts, respectively. The predictive performance of the radiomics nomogram was significantly superior to the radiomics model (0.931 vs. 0.870, P = 0.004; 0.934 vs. 0.844, P = 0.032), the clinical model (0.931 vs. 0.858, P = 0.005; 0.934 vs. 0.847, P = 0.030), and radiologists (all P < 0.05) in the primary and validation cohorts, respectively. The decision curve analysis revealed that the nomogram could provide higher net benefit to patients. CONCLUSION The mpMRI-based radiomics nomogram exhibited notable predictive performance in differentiating PMOC from MOC, emerging as a non-invasive preoperative imaging approach.
Collapse
Affiliation(s)
- Shu Yi Shi
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Radiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yong Ai Li
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
- Department of Radiology, Changzhi People's Hospital, Changzhi, Shanxi, China
| | - Jin Wei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
| |
Collapse
|
12
|
Lamghare P, Paidlewar S, Arkar R, Rangankar V, Sharma O, Julakanti S, Pandey A. MRI Evaluation and Characterization of Ovarian Lesions Based on Ovarian-Adnexal Reporting and Data System MRI. Cureus 2024; 16:e67904. [PMID: 39328653 PMCID: PMC11426925 DOI: 10.7759/cureus.67904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 08/27/2024] [Indexed: 09/28/2024] Open
Abstract
Background Managing ovarian lesions requires differentiating between benign and malignant cases. The development of a multiparametric MRI approach combining anatomical and functional criteria has led to the creation of the Ovarian-Adnexal Reporting and Data System (O-RADS) MRI scoring system, which enhances diagnostic accuracy. Objectives To study ovarian lesions and their characteristics, along with their risk stratification based on MRI O-RADS. Methods A prospective study used the O-RADS MRI criteria to categorize ovarian lesions. Clinical findings and MRI results were compared with histopathological outcomes to assess diagnostic accuracy. Results We identified abdominal pain as the most prevalent clinical finding among our cases (64, 91.43%), followed by a lump in the abdomen (33, 47.5%), dysmenorrhea (33, 47.5%), bleeding per vaginal (15, 21.43%), and weight loss (11, 15.71%). A total of 80 ovarian lesions were examined and characterized on the basis of the O-RADS MRI risk stratification system. Among the 80 ovarian lesions, 54 were histopathologically confirmed ovarian lesions (39 (72.22%) were benign, and 15 (27.77%) were malignant). The most common benign lesions were ovarian serous cystadenoma (28.20%) and ovarian mucinous cystadenoma (20.51%), while the most common malignant lesions were serous carcinoma (33.33%) and mucinous carcinoma (20%). Using the O-RADS MRI scoring system, we categorized six lesions (7.5%) as O-RADS 1 (all benign), 34 lesions (42.50%) as O-RADS 2 (32 benign and 2 malignant), 24 lesions (30%) as O-RADS 3 (23 benign and 1 malignant), seven lesions (8.75%) as O-RADS 4 (four benign and three malignant), and nine lesions (11.25%) as O-RADS 5 (all malignant). Our findings revealed significant differences in the size of lesions, the presence of thick septa, high T2-weighted signal intensity within solid tissue, and patterns of solid component enhancement and wall irregularity between malignant and benign lesions. The MRI cut-off score of ≥4 for malignancy demonstrated a sensitivity of 94.59%, a specificity of 97.5%, an accuracy of 97.62%, a positive predictive value of 94.5%, and a negative predictive value of 97.5%. The positive likelihood ratio was 32.7, while the negative likelihood ratio was 0.025. These results affirm the high diagnostic accuracy of the O-RADS MRI scoring system in distinguishing benign from malignant ovarian lesions. Conclusion The O-RADS MRI score is a highly accurate tool for differentiating between benign and malignant ovarian lesions. Its application can significantly enhance the management and treatment outcomes for patients with adnexal masses. The study confirms the scoring system's high sensitivity, specificity, and overall diagnostic accuracy.
Collapse
Affiliation(s)
- Purnachandra Lamghare
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Sayali Paidlewar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Rahul Arkar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Varsha Rangankar
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Ojasvi Sharma
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Sravya Julakanti
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| | - Ankita Pandey
- Radiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND
| |
Collapse
|
13
|
Wang Y, Peng L, Ye W, Lu Y. Multimodal diagnostic strategies and precision medicine in mucinous ovarian carcinoma: a comprehensive approach. Front Oncol 2024; 14:1391910. [PMID: 39040449 PMCID: PMC11260671 DOI: 10.3389/fonc.2024.1391910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 06/24/2024] [Indexed: 07/24/2024] Open
Abstract
Mucinous ovarian carcinoma (MOC) represents a distinct entity within ovarian malignancies, characterized by diagnostic challenges due to its rarity and the potential overlap with other tumor types. The determination of tumor origin is important for precise postsurgical treatment. This article highlights the accurate diagnosis and management of MOC, including the use of imaging modalities, serological tumor markers, immunohistochemistry, and genomic analyses. Transabdominal and transvaginal ultrasonography, complemented by MRI and CT, plays a pivotal role in differentiating MOC from other mucinous tumors and in surgical planning, particularly for fertility preservation. Serological markers like CA19-9, CA-125, and CEA, though not definitive, provide valuable preoperative insights. Immunohistochemistry aids in distinguishing primary MOC from metastatic mucinous carcinomas, while genomic profiling offers the potential for precision medicine through the identification of specific molecular signatures and treatment susceptibilities. Despite advancements in diagnostic techniques, no single method conclusively differentiates between primary and metastatic tumors intraoperatively. The paper reviews the origins, diagnosis, and differential diagnosis of primary mucinous ovarian carcinoma highlights the need for a multimodal diagnostic approach and advocates for the inclusion of MOC patients in clinical trials for personalized therapies, recognizing the heterogeneity of the disease at the molecular level.
Collapse
Affiliation(s)
- Yue Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Laboratory of Gynecologic Oncology, Department of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Lina Peng
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wanlu Ye
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yanming Lu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| |
Collapse
|
14
|
Padula CA, Amiraian DE, Agely A, Brady CM. Mature cystic teratoma of the fallopian tube diagnosed preoperatively with computed tomography and ultrasound: A case report. Radiol Case Rep 2024; 19:2310-2314. [PMID: 38559663 PMCID: PMC10978455 DOI: 10.1016/j.radcr.2024.02.084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 02/25/2024] [Indexed: 04/04/2024] Open
Abstract
Mature cystic teratoma of the fallopian tube is extremely rare, with fewer than 100 cases reported in the English literature. Clinical symptoms are nonspecific, and the diagnosis is most often made after surgical resection. A preoperative diagnosis has the potential to aid with surgical planning and patient counseling. We present a case of a large completely intratubal mature cystic teratoma in a 40-year-old woman who presented to her primary care provider with the gradual onset of right lower quadrant/pelvic pain. The patient's symptoms prompted evaluation with computed tomography (CT) and ultrasound. Imaging showed a dilated right fallopian tube containing fluid, macroscopic fat, and calcifications, facilitating the preoperative diagnosis of mature cystic teratoma of the fallopian tube. Because of her symptoms, she elected to undergo salpingectomy and the diagnosis was pathologically confirmed. The patient's symptoms resolved following surgery.
Collapse
Affiliation(s)
| | | | - Ali Agely
- Department of Radiology, Mayo Clinic, Jacksonville, FL, USA
| | | |
Collapse
|
15
|
Bo J, Sun M, Wei C, Wei L, Fu B, Shi B, Fang X, Dong J. MRI combined with clinical features to differentiate ovarian thecoma-fibroma with cystic degeneration from ovary adenofibroma. Br J Radiol 2024; 97:1057-1065. [PMID: 38402483 DOI: 10.1093/bjr/tqae046] [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] [Received: 05/12/2023] [Revised: 01/11/2024] [Accepted: 02/21/2024] [Indexed: 02/26/2024] Open
Abstract
OBJECTIVE To explore the value of magnetic resonance imaging (MRI) and clinical features in identifying ovarian thecoma-fibroma (OTF) with cystic degeneration and ovary adenofibroma (OAF). METHODS A total of 40 patients with OTF (OTF group) and 28 patients with OAF (OAF group) were included in this retrospective study. Univariable and multivariable analyses were performed on clinical features and MRI between the two groups, and the receiver operating characteristic (ROC) curve was plotted to estimate the optimal threshold and predictive performance. RESULTS The OTF group had smaller cyst degeneration degree (P < .001), fewer black sponge sign (20% vs. 53.6%, P = .004), lower minimum apparent diffusion coefficient value (ADCmin) (0.986 (0.152) vs. 1.255 (0.370), P < .001), higher age (57.4 ± 14.2 vs. 44.1 ± 15.9, P = .001) and more postmenopausal women (72.5% vs. 28.6%, P < .001) than OAF. The area under the curve of MRI, clinical features and MRI combined with clinical features was 0.870, 0.841, and 0.954, respectively, and MRI combined with clinical features was significantly higher than the other two (P < .05). CONCLUSION The cyst degeneration degree, black sponge sign, ADCmin, age and menopause were independent factors in identifying OTF with cystic degeneration and OAF. The combination of MRI and clinical features has a good effect on the identification of the two. ADVANCES IN KNOWLEDGE This is the first time to distinguish OTF with cystic degeneration from OAF by combining MRI and clinical features. It shows the diagnostic performance of MRI, clinical features, and combination of the two. This will facilitate the discriminability and awareness of these two diseases among radiologists and gynaecologists.
Collapse
Affiliation(s)
- Juan Bo
- Department of Radiology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui 230001, China
| | - Mingjie Sun
- Faculty of Graduate Studies, Wannan Medical College, Wuhu, Anhui 241002, China
| | - Chao Wei
- Department of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China
| | - Longyu Wei
- Faculty of Graduate Studies, Bengbu Medical College, Bengbu, Anhui 233030, China
| | - Baoyue Fu
- Faculty of Graduate Studies, Bengbu Medical College, Bengbu, Anhui 233030, China
| | - Bin Shi
- Department of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China
| | - Xin Fang
- Department of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China
| | - Jiangning Dong
- Department of Radiology, Anhui Provincial Hospital Affiliated to Anhui Medical University, Hefei, Anhui 230001, China
- Department of Radiology, Western District, First Affiliated Hospital of University of Science and Technology of China, No.107 Huanhu East Road, Shushan District, Hefei, Anhui, 230031, China
| |
Collapse
|
16
|
Kawaguchi M, Kato H, Furui T, Noda Y, Hyodo F, Miyazaki T, Matsuo M. MRI findings of malignant transformation arising from mature cystic teratoma of the ovary: comparison with benign mature cystic teratoma. Jpn J Radiol 2024; 42:500-507. [PMID: 38146022 PMCID: PMC11056338 DOI: 10.1007/s11604-023-01521-z] [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: 09/19/2023] [Accepted: 11/26/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE This study aimed to evaluate the efficacy of MRI findings to differentiate malignant transformation arising from mature cystic teratoma (MT-MCT) of the ovary from benign mature cystic teratoma (BMCT). MATERIALS AND METHODS This study included 11 patients with histopathologically proven MT-MCT and 50 with BMCT. Overall, 7 patients with MT-MCT and all 50 with BMCT underwent unenhanced and contrast-enhanced MRIs and 4 with MT-MCT only underwent unenhanced MRIs. The MRI findings were evaluated and compared between the two diseases. RESULTS The median age (55 vs. 38 years, p < 0.01) and maximum diameter (109 vs. 65 mm, p < 0.01) were higher in MT-MCT than in BMCT. Fat component occupancy was lower in MT-MCT than in BMCT (median, 5% vs. 63%, p < 0.01). Only MT-MCT exhibited irregular tumor margins (64%), peritoneal dissemination (18%), and abnormal ascites (27%). The solid components were more commonly observed in MT-MCT than in BMCT (100% vs. 32%, p < 0.01) on contrast-enhanced images. The maximum diameter of solid components in MT-MCT was larger than that in BMCT (median, 61 mm vs. 14 mm, p < 0.01). In MT-MCT, the common configuration of solid components was endophytic or exophytic sessile (85%), whereas in BMCT, it was endophytic papillary (88%). CONCLUSION Compared with BMCT, MT-MCT demonstrated a larger maximum diameter, lower occupancy rate of fat components, and sessile solid components. The characteristic configuration of solid components was endophytic or exophytic sessile in MT-MCT and endophytic papillary in BMCT.
Collapse
Affiliation(s)
- Masaya Kawaguchi
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
- Department of Radiology, Ogaki Municipal Hospital, 4-86 Minaminokawacho, Ogaki, 503-0864, Japan.
| | - Hiroki Kato
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan
| | - Tatsuro Furui
- Department of Obstetrics and Gynecology, Gifu University, Gifu, Japan
| | - Yoshifumi Noda
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan
| | - Fuminori Hyodo
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan
- Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, Gifu, Japan
| | | | - Masayuki Matsuo
- Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan
| |
Collapse
|
17
|
Wang D, Su N, Wang R, Zhang L, Qi Z, Liu Z, Yang J, Leng J, Xiang Y. Serous surface papillary borderline ovarian tumors: correlation of sonographic features with clinic pathological findings. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024; 63:691-698. [PMID: 37592848 DOI: 10.1002/uog.27454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 07/23/2023] [Accepted: 08/04/2023] [Indexed: 08/19/2023]
Abstract
Serous surface papillary borderline ovarian tumor (SSPBOT) is a distinct subtype of serous borderline ovarian tumor characterized by solid tissue deposition confined to the ovarian surface. Because SSPBOT is rare, there are few published reports on the ultrasonographic features of this condition. In this retrospective study, we investigated 12 cases of SSPBOT. Ultrasound imaging of SSPBOT showed grossly normal ovaries that were encased partially or wholly by tumor deposits that were confined to the surface, with clear demarcation between normal ovarian tissue and surrounding tumors. Color Doppler imaging demonstrated the 'fireworks sign' in all cases of SSPBOT, corresponding to an intratumoral vascular bundle originating from the ovarian vessels and supplying hierarchical branching blood flow to the surrounding tumor. No patient with ovarian high-grade serous carcinoma showed these morphological and Doppler features. In our series, the fireworks sign appeared to be a characteristic feature of SSPBOT that could facilitate correct identification of this tumor. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.
Collapse
Affiliation(s)
- D Wang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, People's Republic of China
| | - N Su
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - R Wang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - L Zhang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Z Qi
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Z Liu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - J Yang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, People's Republic of China
| | - J Leng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, People's Republic of China
| | - Y Xiang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, People's Republic of China
| |
Collapse
|
18
|
Du Y, Xiao Y, Guo W, Yao J, Lan T, Li S, Wen H, Zhu W, He G, Zheng H, Chen H. Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours. Biomed Eng Online 2024; 23:41. [PMID: 38594729 PMCID: PMC11003110 DOI: 10.1186/s12938-024-01234-y] [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] [Received: 02/05/2024] [Accepted: 04/02/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND The timely identification and management of ovarian cancer are critical determinants of patient prognosis. In this study, we developed and validated a deep learning radiomics nomogram (DLR_Nomogram) based on ultrasound (US) imaging to accurately predict the malignant risk of ovarian tumours and compared the diagnostic performance of the DLR_Nomogram to that of the ovarian-adnexal reporting and data system (O-RADS). METHODS This study encompasses two research tasks. Patients were randomly divided into training and testing sets in an 8:2 ratio for both tasks. In task 1, we assessed the malignancy risk of 849 patients with ovarian tumours. In task 2, we evaluated the malignancy risk of 391 patients with O-RADS 4 and O-RADS 5 ovarian neoplasms. Three models were developed and validated to predict the risk of malignancy in ovarian tumours. The predicted outcomes of the models for each sample were merged to form a new feature set that was utilised as an input for the logistic regression (LR) model for constructing a combined model, visualised as the DLR_Nomogram. Then, the diagnostic performance of these models was evaluated by the receiver operating characteristic curve (ROC). RESULTS The DLR_Nomogram demonstrated superior predictive performance in predicting the malignant risk of ovarian tumours, as evidenced by area under the ROC curve (AUC) values of 0.985 and 0.928 for the training and testing sets of task 1, respectively. The AUC value of its testing set was lower than that of the O-RADS; however, the difference was not statistically significant. The DLR_Nomogram exhibited the highest AUC values of 0.955 and 0.869 in the training and testing sets of task 2, respectively. The DLR_Nomogram showed satisfactory fitting performance for both tasks in Hosmer-Lemeshow testing. Decision curve analysis demonstrated that the DLR_Nomogram yielded greater net clinical benefits for predicting malignant ovarian tumours within a specific range of threshold values. CONCLUSIONS The US-based DLR_Nomogram has shown the capability to accurately predict the malignant risk of ovarian tumours, exhibiting a predictive efficacy comparable to that of O-RADS.
Collapse
Affiliation(s)
- Yangchun Du
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Yanju Xiao
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Wenwen Guo
- Department of Pathology, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Jinxiu Yao
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Tongliu Lan
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Sijin Li
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Huoyue Wen
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Wenying Zhu
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Guangling He
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China
| | - Hongyu Zheng
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China.
| | - Haining Chen
- Department of Ultrasound, The People's Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Qingxiu District, Nanning, 530021, China.
| |
Collapse
|
19
|
Tănase AE, Solomon-Condriuc IP, Mogoş RA, Costăchescu G, David C, Buzdugă CM, Scripcariu DV, Costea CF, Cucu AI, Tănase GV, Tănase DM, Nemescu D, Dumitrescu AM, Cărăuleanu A. High-grade serous ovarian cancer (HGSOC) with fallopian tube involvement. ROMANIAN JOURNAL OF MORPHOLOGY AND EMBRYOLOGY = REVUE ROUMAINE DE MORPHOLOGIE ET EMBRYOLOGIE 2024; 65:325-329. [PMID: 39020548 PMCID: PMC11384032 DOI: 10.47162/rjme.65.2.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 06/11/2024] [Indexed: 07/19/2024]
Abstract
INTRODUCTION Literature data present new studies about precancerous lesions of pelvic serous carcinoma that originate from the tubal secretory cells. It has long been thought that ovarian cancer cannot be prevented by prophylactic screening or surgery. In recent years, gynecologists have adapted to new principles and so, during routine hysterectomies in perimenopausal women for benign uterine pathologies, salpingo-oophorectomy is performed as a prophylactic approach. AIM The purpose of our article was to draw attention to the association between abnormal fallopian tube pathology and the presence of serous ovarian neoplasia in perimenopausal women at risk. CASE PRESENTATION We report the case of a 45-year-old woman who had unspecific symptoms of abdominal pain and loss of appetite and weight. A pelvic magnetic resonance imaging was performed, and an ovarian mass was detected. Our case shows that the fallopian tube can be the primary point of origin for a pelvic disease, therefore prevention is possible with early computed tomography scan and annual ultrasound. The patient presented with a T1c staging post-surgery and her chances of survival could have decreased if she had postponed medical examination longer. We found a significant increase in the absolute number of tubal secretory cells in patients with ovarian neoplasia, which supports the assumption that serous tubal intraepithelial carcinoma lesions are found especially in the serous ovarian type. CONCLUSIONS Our article is a strong suggestion that serous ovarian cancer originates from the fallopian tube and can potentially serve as a sensitive biomarker for early serous carcinogenesis within the fallopian tube.
Collapse
Affiliation(s)
- Adina Elena Tănase
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Iustina Petra Solomon-Condriuc
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
- Doctoral School, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Raluca Anamaria Mogoş
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
- Doctoral School, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Gabriel Costăchescu
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Cristina David
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Cătălin Mihai Buzdugă
- Department of Endocrinology, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Dragoş Viorel Scripcariu
- Department of General Surgery, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Claudia Florida Costea
- Department of Ophthalmology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
- 2nd Ophthalmology Clinic, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania
| | - Andrei Ionuţ Cucu
- Department of Biomedical Sciences, Faculty of Medicine and Biological Sciences, Ştefan cel Mare University of Suceava, Romania
- 2nd Neurosurgery Clinic, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital, Iaşi, Romania
| | - Gabriel Valentin Tănase
- Department of Anesthesia and Intensive Care, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Daniela Maria Tănase
- Department of Internal Medicine, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Dragoş Nemescu
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Ana Maria Dumitrescu
- Department of Anatomy, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| | - Alexandru Cărăuleanu
- Department of Obstetrics and Gynecology, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy, Iaşi, Romania
| |
Collapse
|
20
|
Yang AJ, Munir I. The Hidden Source of Testosterone Hypersecretion in a Female-A 30-Year Journey. JCEM CASE REPORTS 2024; 2:luae025. [PMID: 38440126 PMCID: PMC10911220 DOI: 10.1210/jcemcr/luae025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Indexed: 03/06/2024]
Abstract
A Sertoli-Leydig cell tumor (SLCT) is a rare ovarian tumor that often excessively secretes testosterone and its precursor, leading to virilization in females. We present a case of a female patient with persistent, severe hyperandrogenism. Our patient had a history of left oophorectomy due to an ectopic pregnancy and initially presented with amenorrhea at the age of 30. Biochemical evaluations suggested ovarian hyperandrogenism. Despite the absence of an ovarian mass, she underwent a right oophorectomy and remained hyperandrogenic postoperatively. When she established care with our endocrinology clinic at the age of 58, she had more virilizing features and total testosterone levels ranging from 10.1 to 12.0 nmol/L (292-346 ng/dL; normal reference range for women: 0.07-1.56 nmol/L; 2-45 ng/dL). While biochemical evaluations were consistent with tumorous ovarian hyperandrogenism, ultrasound and computed tomography again failed to identify the source. Finally, an 18F-fluorodeoxyglucose-positron emission tomography/computed tomography revealed a mass in the left adnexa, and she underwent removal of the mass. The final pathology confirmed SLCT. The case highlights that SLCT may be small and slow-growing and not readily visible on conventional imaging modalities.
Collapse
Affiliation(s)
- Almira J Yang
- Riverside University Health System Medical Center, School of Medicine, University of California, Riverside, Moreno Valley, CA 92555, USA
| | - Iqbal Munir
- Riverside University Health System Medical Center, School of Medicine, University of California, Riverside, Moreno Valley, CA 92555, USA
| |
Collapse
|
21
|
Rodrigues S, Braga M, Félix A, Cunha TM. Clear cell carcinoma of the ovary: Clues for radiologists to perform a correct diagnosis. Curr Probl Diagn Radiol 2024; 53:271-279. [PMID: 37925237 DOI: 10.1067/j.cpradiol.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/12/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
Ovarian clear cell carcinoma (OCCC) is an uncommon high-grade primary epithelial ovarian cancer, covering about 10-12 % of all ovarian malignancies. It has a strong association with endometriosis. OCCC diagnosis, at advanced stages, has an aggressive biological behaviour, and the therapeutic strategies for ovarian OCCC are somehow different from other ovarian carcinomas. Therefore, early diagnosis of these tumours is of extreme importance. As some ovarian tumours subtypes have distinguishing features, it is possible to differentiate them based on their imaging characteristics, which can guide patient management and help the clinicians and pathologists in their diagnosis. A large mass on one side of the ovary that is mostly cystic, with a focal or multifocal irregular eccentric growing solid mural nodules or projections protruding into the cystic space, may suggest clear cell carcinoma of the ovary diagnosis. The solid nodules usually have an intermediate signal on T2-weighted images. The cystic component can be either single or multilocular, and the contents may contain protein or blood. CT scanning is still the preferred method for preoperative staging and postoperative restaging, and radiologists are crucial in identifying this type of tumour. We reviewed the imaging files of patients with surgically proven clear cell carcinoma at the specimens, and our findings agree with previous studies. This paper aims to perform a comprehensive revision of OCCC's radiological and clinic-pathological features and assist radiologists in recognizing OCCC and narrowing down the possibilities of differential diagnosis.
Collapse
Affiliation(s)
- Susana Rodrigues
- Department of Radiology, Instituto Português de Oncologia do Porto Francisco Gentil, Porto.
| | - Miguel Braga
- Department of Radiology, Instituto Português de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| | - Ana Félix
- Department of Pathology, Instituto Português de Oncologia de Lisboa Francisco Gentil, NOVA Medical School, Lisbon, Portugal
| | - Teresa Margarida Cunha
- Department of Radiology, Instituto Português de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal
| |
Collapse
|
22
|
Ruaux E, Nougaret S, Gavrel M, Charlot M, Devouassoux-Shisheboran M, Golfier F, Thomassin-Naggara I, Rousset P. Endometriosis MR mimickers: T1-hyperintense lesions. Insights Imaging 2024; 15:19. [PMID: 38267748 PMCID: PMC10808095 DOI: 10.1186/s13244-023-01587-3] [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: 06/27/2023] [Accepted: 11/25/2023] [Indexed: 01/26/2024] Open
Abstract
Endometriosis is a chronic and disabling gynecological disease that affects women of reproductive age. Magnetic resonance imaging (MRI) is considered the cornerstone radiological technique for both the diagnosis and management of endometriosis. While MRI offers higher sensitivity compared to ultrasonography, it is prone to false-positive results, leading to decreased specificity. False-positive findings can arise from various T1-hyperintense conditions on fat-suppressed T1-weighted images, resembling endometriotic cystic lesions in different anatomical compartments. These conditions include hemorrhage, hyperproteic content, MRI artifacts, feces, or melanin. Such false positives can have significant implications for patient care, ranging from incorrect diagnoses to unnecessary medical or surgical interventions and subsequent follow-up. To address these challenges, this educational review aims to provide radiologists with comprehensive knowledge about MRI criteria, potential pitfalls, and differential diagnoses, ultimately reducing false-positive results related to T1-hyperintense abnormalities.Critical relevance statementMRI has a 10% false-positive rate, leading to misdiagnosis. T1-hyperintense lesions, observed in the three phenotypes of pelvic endometriosis, can also be seen in various other causes, mainly caused by hemorrhages, high protein concentrations, and artifacts.Key points• MRI in endometriosis has a 10% false-positive rate, leading to potential misdiagnosis.• Pelvic endometriosis lesions can exhibit T1-hyperintensity across their three phenotypes.• A definitive diagnosis of a T1-hyperintense endometriotic lesion is crucial for patient management.• Hemorrhages, high protein concentrations, lipids, and artifacts are the main sources of T1-hyperintense mimickers.
Collapse
Affiliation(s)
- Edouard Ruaux
- Department of Radiology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, 165 Chemin du Grand Revoyet, EMR 3738, 69495, Pierre Bénite, France
| | - Stéphanie Nougaret
- Department of Radiology, Montpellier Cancer Institute, U1194, Montpellier University, 34295, Montpellier, France
| | - Marie Gavrel
- Department of Radiology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, EMR 3738, Pierre Bénite, France
| | - Mathilde Charlot
- Department of Radiology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, EMR 3738, Pierre Bénite, France
| | - Mojgan Devouassoux-Shisheboran
- Department of Pathology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, 69495, Pierre Bénite, France
| | - François Golfier
- Department of Gynecology and Obstetrics, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, EMR 3738, 69495, Pierre Bénite, France
| | - Isabelle Thomassin-Naggara
- Department of Radiology, Service Imageries Radiologiques et Interventionnelles Spécialisées, Hôpital Tenon, Assistance Publique Hôpitaux de Paris, Sorbonne Université, 75020, Paris, France
| | - Pascal Rousset
- Department of Radiology, Hospices Civils de Lyon, Lyon Sud University Hospital, Lyon 1 Claude Bernard University, 165 Chemin du Grand Revoyet, EMR 3738, 69495, Pierre Bénite, France.
| |
Collapse
|
23
|
Kim TM, Ahn H, Kim SY, Hwang SI, Lee MS, Cho JY, Moon MH. MR imaging findings of ovarian lymphoma: differentiation from other solid ovarian tumors. Abdom Radiol (NY) 2024; 49:220-228. [PMID: 37831166 DOI: 10.1007/s00261-023-04067-w] [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: 06/04/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/14/2023]
Abstract
PURPOSE To evaluate magnetic resonance imaging (MRI) findings for distinguishing ovarian lymphomas from other solid ovarian tumors. METHODS This retrospective multicenter study included 14 women (median age, 46.5 years; range, 26-81 years) with surgically proven ovarian lymphoma and 28 women with solid ovarian tumors other than lymphoma. We conducted a subjective image analysis of factors including laterality, shape, composition, T2 signal intensity (SI), heterogeneity, diffusion restriction, enhancement, and presence of peripheral follicles. A generalized estimating equation was used to identify MRI findings that could be used to distinguish ovarian lymphomas from other solid ovarian tumors. Diagnostic performance of the identified MRI findings was assessed using the area under the receiver-operating characteristic curve (AUC). RESULTS Ovarian lymphoma more frequently showed homogeneous high SI on T2-weighted imaging (81.8% vs. 19.4%, P < 0.001) and peripheral ovarian follicles (40.9% vs. 8.3%, P = 0.01) than other ovarian solid tumors did. Bilaterality, shape, size, diffusion restriction, and enhancement did not differ between the two groups (P > 0.05 for all). Homogeneous high SI on T2-weighted imaging was the only independent MRI finding (OR = 15.19; 95% CI 3.15-73.33; P = 0.001) in the multivariable analysis. Homogeneous high SI on T2-weighted imaging yielded an AUC of 0.82 with a sensitivity of 81.8% and specificity of 80.6% in distinguishing ovarian lymphomas from other solid ovarian tumors. CONCLUSION Homogeneous high signal intensity on T2-weighted imaging was helpful in distinguishing ovarian lymphomas from other solid ovarian tumors. Peripheral ovarian follicles might be an additional clue that suggests a diagnosis of ovarian lymphoma.
Collapse
Affiliation(s)
- Taek Min Kim
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - Hyungwoo Ahn
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Sang Youn Kim
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - Sung Il Hwang
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, South Korea
| | - Myoung Seok Lee
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Boramae-ro 5 gil 20, Seoul, 07061, South Korea
| | - Jeong Yeon Cho
- Department of Radiology, Seoul National University Hospital, Seoul, South Korea
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Radiation Medicine and Kidney Research Institute, Seoul National University Medical Research Center, Seoul, 03080, South Korea
| | - Min Hoan Moon
- Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea.
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Boramae-ro 5 gil 20, Seoul, 07061, South Korea.
| |
Collapse
|
24
|
Masselli G, Bonito G, Gigli S, Ricci P. Imaging of Acute Abdominopelvic Pain in Pregnancy and Puerperium-Part II: Non-Obstetric Complications. Diagnostics (Basel) 2023; 13:2909. [PMID: 37761275 PMCID: PMC10528125 DOI: 10.3390/diagnostics13182909] [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: 07/31/2023] [Revised: 08/28/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
Emergency imaging in pregnancy and puerperium poses unique challenges both for clinicians and radiologists, requiring timely and accurate diagnosis. Delay in treatment may result in poor outcomes for both the patient and the foetus. Pregnant and puerperal patients may present in the emergency setting with acute abdominopelvic pain for various complications that can be broadly classified into obstetric and non-obstetric related diseases. Ultrasonography (US) is the primary diagnostic imaging test; however, it may be limited due to the patient's body habitus and the overlapping of bowel loops. Computed tomography (CT) carries exposure to ionising radiation to the foetus, but may be necessary in selected cases. Magnetic resonance imaging (MRI) is a valuable complement to US in the determination of the etiology of acute abdominal pain and can be used in most settings, allowing for the identification of a broad spectrum of pathologies with a limited protocol of sequences. In this second section, we review the common non-obstetric causes for acute abdominopelvic pain in pregnancy and post partum, offering a practical approach for diagnosis and pointing out the role of imaging methods (US, MRI, CT) with the respective imaging findings.
Collapse
Affiliation(s)
- Gabriele Masselli
- Department of Emergency Radiology-Policlinico Umberto I Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (G.M.); (P.R.)
| | - Giacomo Bonito
- Department of Emergency Radiology-Policlinico Umberto I Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (G.M.); (P.R.)
| | - Silvia Gigli
- Department of Diagnostic Imaging, Sandro Pertini Hospital, Via dei Monti Tiburtini 385, 00157 Rome, Italy;
| | - Paolo Ricci
- Department of Emergency Radiology-Policlinico Umberto I Hospital, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy; (G.M.); (P.R.)
- Department of Radiological, Oncological and Pathological Sciences, Policlinico Umberto I, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| |
Collapse
|
25
|
Li H, Cai S, Deng L, Xiao Z, Guo Q, Qiang J, Gong J, Gu Y, Liu Z. Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram. Eur Radiol 2023; 33:5298-5308. [PMID: 36995415 DOI: 10.1007/s00330-023-09552-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 01/19/2023] [Accepted: 02/13/2023] [Indexed: 03/31/2023]
Abstract
OBJECTIVE This study aimed to explore the value of a radiomics nomogram to identify platinum resistance and predict the progression-free survival (PFS) of patients with advanced high-grade serous ovarian carcinoma (HGSOC). MATERIALS AND METHODS In this multicenter retrospective study, 301 patients with advanced HGSOC underwent radiomics features extraction from the whole primary tumor on contrast-enhanced T1WI and T2WI. The radiomics features were selected by the support vector machine-based recursive feature elimination method, and then the radiomics signature was generated. Furthermore, a radiomics nomogram was developed using the radiomics signature and clinical characteristics by multivariable logistic regression. The predictive performance was evaluated using receiver operating characteristic analysis. The net reclassification index (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) were used to compare the clinical utility and benefits of different models. RESULTS Five features significantly correlated with platinum resistance were selected to construct the radiomics model. The radiomics nomogram, combining radiomics signatures with three clinical characteristics (FIGO stage, CA-125, and residual tumor), had a higher area under the curve (AUC) compared with the clinical model alone (AUC: 0.799 vs 0.747), with positive NRI and IDI. The net benefit of the radiomics nomogram is typically higher than clinical-only and radiomics-only models. Kaplan-Meier survival analysis showed that the radiomics nomogram-defined high-risk groups had shorter PFS compared with the low-risk groups in patients with advanced HGSOC. CONCLUSIONS The radiomics nomogram can identify platinum resistance and predict PFS. It helps make the personalized management of advanced HGSOC. KEY POINTS • The radiomics-based approach has the potential to identify platinum resistance and can help make the personalized management of advanced HGSOC. • The radiomics-clinical nomogram showed improved performance compared with either of them alone for predicting platinum-resistant HGSOC. • The proposed nomogram performed well in predicting the PFS time of patients with low-risk and high-risk HGSOC in both training and testing cohorts.
Collapse
Affiliation(s)
- Haiming Li
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Cardiovascular Institute, Guangzhou, 510080, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China
| | - Songqi Cai
- Department of Radiology, Zhongshan Hospital, FudanUniversity, Shanghai, 200032, China
- Shanghai Institute of Medical Imaging, Shanghai, 200032, China
- Department of Cancer Center, Zhongshan Hospital, FudanUniversity, Shanghai, 200032, China
| | - Lin Deng
- Department of Radiology, Jinshan Hospital, FudanUniversity, Shanghai, 201508, China
| | - Zebin Xiao
- Department of Biomedical Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Qinhao Guo
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China
- Department of Gynecological Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, FudanUniversity, Shanghai, 201508, China
| | - Jing Gong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, China.
| | - Zaiyi Liu
- Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
| |
Collapse
|
26
|
Suarez-Weiss KE, Sadowski EA, Zhang M, Burk KS, Tran VT, Shinagare AB. Practical Tips for Reporting Adnexal Lesions Using O-RADS MRI. Radiographics 2023; 43:e220142. [PMID: 37319025 DOI: 10.1148/rg.220142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The Ovarian-Adnexal Reporting and Data System (O-RADS) MRI risk stratification system provides a standardized lexicon and evidence-based risk score for evaluation of adnexal lesions. The goals of the lexicon and risk score are to improve report quality and communication between radiologists and clinicians, reduce variability in the reporting language, and optimize management of adnexal lesions. The O-RADS MRI risk score is based on the presence or absence of specific imaging features, including the lipid content, enhancing solid tissue, number of loculi, and fluid type. The probability of malignancy ranges from less than 0.5% when there are benign features to approximately 90% when there is solid tissue with a high-risk time-intensity curve. This information can aid in optimizing management of patients with adnexal lesions. The authors present an algorithmic approach to the O-RADS MRI risk stratification system and highlight key teaching points and common pitfalls. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.
Collapse
Affiliation(s)
- Krista E Suarez-Weiss
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Elizabeth A Sadowski
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Michelle Zhang
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Kristine S Burk
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Vi T Tran
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| | - Atul B Shinagare
- From the Department of Radiology, Abdominal Imaging and Intervention, Brigham and Women's Hospital, 75 Francis St, Boston, Mass 02115 (K.E.S.W., K.S.B., A.B.S.); Department of Radiology, University of Wisconsin Health University Hospital, Madison, Wis (E.A.S.); and Department of Radiology, McGill University Health Centre, Montreal, Quebec, Canada (M.Z., V.T.T.)
| |
Collapse
|
27
|
Lu B, Liu C, Qi J, He W, Shi T, Zhu Y, Huang B. Comparison of contrast-enhanced ultrasound, IOTA simple rules and O-RADS for assessing the malignant risk of sonographically appearing solid ovarian masses. J Gynecol Obstet Hum Reprod 2023; 52:102564. [PMID: 36868504 DOI: 10.1016/j.jogoh.2023.102564] [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: 11/11/2022] [Revised: 02/02/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023]
Abstract
PURPOSE To explore the diagnostic accuracy of ovarian solid tumors by 2D ultrasound and contrast-enhanced ultrasound (CEUS). MATERIALS AND METHODS We retrospectively evaluated the CEUS characteristics of prospectively enrolled 16 benign and 19 malignant ovarian solid tumors. We performed International Ovarian Tumor Analysis (IOTA) simple rules and Ovarian-Adnexal Reporting and Data System (O-RADS) for all lesions, and evaluated their characteristics on CEUS. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of IOTA simple rules, O-RADS and CEUS in the diagnosis of ovarian solid malignancies were calculated. RESULTS The combination of time to wash-in earlier than or equal to the myometrium, time to PI earlier than or equal to the myometrium and the intensity at peak were higher than or equal to myometrium with sensibility of 0.947, specificity of 0.938, and PPV of 0.947, NPV of 0.938 which were higher than IOTA simple rules and O-RADS. According to the definition of ovarian solid tumor, the diagnostic accuracy of O-RADS 3 and CEUS were both 100%, CEUS improved the accuracy of O-RADS 4 from 47.4% to 87.5%, the accuracy of solid smooth CS 4 in O-RADS 5 and CEUS were both 100%, CEUS improved the accuracy of solid irregular in O-RADS 5 from 70% to 87.5%. CONCLUSION For ovarian solid tumors that are difficult to distinguish between benign and malignant, the introduction of CEUS on the basis of 2D classification criteria can significantly improve the diagnostic accuracy.
Collapse
Affiliation(s)
- Beilei Lu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China; Shanghai Institute of Medical Imaging, Shanghai 200032, PR China; Institute of Medical Ultrasound and Engineering, Fudan University, Shanghai 200032, PR China
| | - Chang Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai 200072, PR China
| | - Jiuling Qi
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China; Shanghai Institute of Medical Imaging, Shanghai 200032, PR China; Institute of Medical Ultrasound and Engineering, Fudan University, Shanghai 200032, PR China.
| | - Wanyuan He
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China; Shanghai Institute of Medical Imaging, Shanghai 200032, PR China; Institute of Medical Ultrasound and Engineering, Fudan University, Shanghai 200032, PR China.
| | - Tingyan Shi
- Ovarian Cancer Program, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Zhongshan Hospital, Fudan University, 200032 PR China
| | - Yuli Zhu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China; Shanghai Institute of Medical Imaging, Shanghai 200032, PR China; Institute of Medical Ultrasound and Engineering, Fudan University, Shanghai 200032, PR China
| | - Beijian Huang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, PR China; Shanghai Institute of Medical Imaging, Shanghai 200032, PR China; Institute of Medical Ultrasound and Engineering, Fudan University, Shanghai 200032, PR China.
| |
Collapse
|
28
|
Abstract
Ovarian malignant germ cell tumors are a diverse set of masses originating from the primitive gonadal germ cells, often in young females. They have useful imaging and clinical features, including serum tumor marker elevation, that may aid the radiologist at the time of diagnosis, and also during follow-up. Accurate and timely diagnosis is essential, as standard-of-care therapies lead to a high rate of cancer remission.
Collapse
Affiliation(s)
- Douglas Rogers
- Department of Radiology and Imaging Sciences, University of Utah, 30 N Medical Dr, Salt Lake City, UT 84132, USA.
| | - Christine Menias
- Mayo Clinic Radiology, 13400 E Shea Boulevard, Scottsdale, AZ 85259, USA
| | - Akram Shaaban
- Department of Radiology and Imaging Sciences, University of Utah, 30 N Medical Dr, Salt Lake City, UT 84132, USA
| |
Collapse
|
29
|
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.
Collapse
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
| |
Collapse
|
30
|
Foster KI, Handley KF, Glassman D, Sims TT, Javadi S, Palmquist SM, Saleh MM, Fellman BM, Fleming ND, Bhosale PR, Sood AK. Characterizing morphologic subtypes of high-grade serous ovarian cancer by CT: a retrospective cohort study. Int J Gynecol Cancer 2023:ijgc-2022-004206. [PMID: 36948527 DOI: 10.1136/ijgc-2022-004206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023] Open
Abstract
OBJECTIVE A novel classification system of high-grade serous ovarian carcinoma based on gross morphology observed at pre-treatment laparoscopy was recently defined. The purpose of this study was to identify radiographic features unique to each morphologic subtype. METHODS This retrospective study included 109 patients with high-grade serous ovarian cancer who underwent pre-operative computed tomography (CT) scanning and laparoscopic assessment of disease burden between 1 April 2013 and 5 August 2015. Gross morphologic subtype had been previously assigned by laparoscopy. Two radiologists independently reviewed CT images for each patient, categorized disease at eight anatomic sites, and assessed for radiographic characteristics of interest: large infiltrative plaques, mass-like metastases, enhancing peritoneal lining, architectural distortion, fat stranding, calcifications, and lymph node involvement. Demographic and clinical information was summarized with descriptive statistics and compared using Student's t-tests, χ² tests, or Fisher exact tests as appropriate; kappa statistics were used to assess inter-reader agreement. RESULTS Certain radiographic features were found to be associated with gross morphologic subtype. Large infiltrative plaques were more common in type 1 disease (88.7% (47/53) vs 71.4% (25/35), p=0.04), while mass-like metastases were more often present in type 2 disease (48.6% (17/35) vs 22.6% (12/53), p=0.01). Additionally, radiographic presence of disease at the falciform ligament was more common in type 1 morphology (33.9% (19/56) vs 13.2% (5/38), p=0.02). CONCLUSION Morphologic subtypes of high-grade serous ovarian cancer were associated with specific CT findings, including the presence of large infiltrative plaques, mass-like metastases, and falciform ligament involvement.
Collapse
Affiliation(s)
- Katherine I Foster
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Katelyn F Handley
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine, Tampa, Florida, USA
- Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Deanna Glassman
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Travis T Sims
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sanaz Javadi
- Department of Diagnostic Radiology - Body Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Sarah M Palmquist
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Mohammed M Saleh
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Bryan M Fellman
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Nicole D Fleming
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Priya R Bhosale
- Abdominal Imaging Department, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Anil K Sood
- Department of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| |
Collapse
|
31
|
Maturen KE, Shampain KL, Roseland ME, Sakala MD, Zhang M, Stein EB. Malignant Epithelial Tumors of the Ovary. Radiol Clin North Am 2023; 61:563-577. [PMID: 37169424 DOI: 10.1016/j.rcl.2023.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Epithelial ovarian neoplasms (EON) constitute the majority of ovarian cancers. Among EON, high-grade serous carcinoma (HGSC) is the most common and most likely to present at an advanced stage. Radiologists should recognize the imaging features associated with HGSC, particularly at ultrasound and MR imaging. Computed tomography is used for staging and to direct care pathways. Peritoneal carcinomatosis is common and does not preclude surgical resection. Other less common malignant EON have varied appearances, but share a common correlation between the amount of vascularized solid tissue and the likelihood of malignancy.
Collapse
|
32
|
Grabowska-Derlatka L, Derlatka P, Hałaburda-Rola M. Characterization of Primary Mucinous Ovarian Cancer by Diffusion-Weighted and Dynamic Contrast Enhancement MRI in Comparison with Serous Ovarian Cancer. Cancers (Basel) 2023; 15:cancers15051453. [PMID: 36900244 PMCID: PMC10000545 DOI: 10.3390/cancers15051453] [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: 02/01/2023] [Revised: 02/17/2023] [Accepted: 02/23/2023] [Indexed: 03/02/2023] Open
Abstract
(1) Background. The purpose of this study is to evaluate the diagnostic accuracy of a quantitative analysis of diffusion-weighted imaging (DWI) and dynamic contrast enhanced (DCE) MRI of mucinous ovarian cancer (MOC). It also aims to differentiate between low grade serous carcinoma (LGSC), high-grade serous carcinoma (HGSC) and MOC in primary tumors. (2) Materials and Methods. Sixty-six patients with histologically confirmed primary epithelial ovarian cancer (EOC) were included in the study. Patients were divided into three groups: MOC, LGSC and HGSC. In the preoperative DWI and DCE MRI, selected parameters were measured: apparent diffusion coefficients (ADC), time to peak (TTP), and perfusion maximum enhancement (Perf. Max. En.). ROI comprised a small circle placed in the solid part of the primary tumor. The Shapiro-Wilk test was used to test whether the variable had a normal distribution. The Kruskal-Wallis ANOVA test was used to determine the p-value needed to compare the median values of interval variables. (3) Results. The highest median ADC values were found in MOC, followed by LGSC, and the lowest in HGSC. All differences were statistically significant (p < 0.000001). This was also confirmed by the ROC curve analysis for MOC and HGSC, showing that ADC had excellent diagnostic accuracy in differentiating between MOC and HGSC (p < 0.001). In the type I EOCs, i.e., MOC and LGSC, ADC has less differential value (p = 0.032), and TTP can be considered the most valuable parameter for diagnostic accuracy (p < 0.001). (4) Conclusions. DWI and DCE appear to be very good diagnostic tools in differentiating between serous carcinomas (LGSC, HGSC) and MOC. Significant differences in median ADC values between MOC and LGSC compared with those between MOC and HGSC indicate the usefulness of DWI in differentiating between less and more aggressive types of EOC, not only among the most common serous carcinomas. ROC curve analysis showed that ADC had excellent diagnostic accuracy in differentiating between MOC and HGSC. In contrast, TTP showed the greatest value for differentiating between LGSC and MOC.
Collapse
Affiliation(s)
- Laretta Grabowska-Derlatka
- Second Department of Clinical Radiology, Medical University of Warsaw, Banacha 1a St., 02-097 Warsaw, Poland
| | - Pawel Derlatka
- Second Department Obstetrics and Gynecology, Medical University of Warsaw, Karowa 2 St., 00-315 Warsaw, Poland
- Correspondence: ; Tel.: +48-22-5966-512
| | - Marta Hałaburda-Rola
- Second Department of Clinical Radiology, Medical University of Warsaw, Banacha 1a St., 02-097 Warsaw, Poland
| |
Collapse
|
33
|
Tong HC, Li YC, Li LY, Xu HT, Ma S, Zhang WL, Wildes T, Yang LH, Wang E. Endometrioid adenofibroma of ovary: A case report and review of literature. Medicine (Baltimore) 2023; 102:e32965. [PMID: 36827035 PMCID: PMC11309725 DOI: 10.1097/md.0000000000032965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 01/25/2023] [Indexed: 02/25/2023] Open
Abstract
RATIONALE Endometrioid adenofibroma is a benign epithelial neoplasm of the ovary, most of which are often unilateral. The symptoms of endometrioid adenofibroma are often nonspecific and misleading. Therefore, a full understanding of the characteristics, diagnosis, and treatment methods of this disease is of great importance. In this study, we report a 34-year-old woman who was found with an unidentified mass on the right ovary during the physical examination 3 years ago with nosymptoms or signs. PATIENT CONCERNS A 34-year-old Chinese female was found with an unidentified 6 cm mass on the right ovary for 3 years that presented with no symptoms or signs. DIAGNOSIS Pelvic ultrasound revealed a 6 cm cystic solid mixed mass on the right ovary. Through histological and immunohistochemical examinations, the tumor mass was finally diagnosed as endometrioid adenofibroma of ovary. INTERVENTIONS To confirm the diagnosis, the ovarian tumor was laparoscopically resected. OUTCOMES The patient returned to hospital after 3 months with no recurrence or postoperative complications. LESSONS Endometrioid adenofibroma is a benign epithelial neoplasm of the ovary. Complete surgical resection is required and rare cases can recur. Postsurgical pathologic and immunohistochemical testing can confirm a diagnosis of endometrioid adenofibroma. It is important to understand of the key points of differential diagnosis of the disease due to the different prognosis and clinical treatment.
Collapse
Affiliation(s)
- Hai-Chao Tong
- Department of Pathology, the First Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China
| | - Ying-Chun Li
- Department of Pathology, the First Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China
| | - Le-Yao Li
- Department of Pathology, the First Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China
| | - Hong-Tao Xu
- Department of Pathology, the First Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China
| | - Shuang Ma
- Department of Neurology, Sheng Jing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wan-Lin Zhang
- Department of Pathology, Hebei Petro China Central Hospital, Langfang, Hebei, China
| | - Tyler Wildes
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - Lian-He Yang
- Department of Pathology, the First Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, Liaoning, China
| | - Endi Wang
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| |
Collapse
|
34
|
Mansour S, Hamed S, Kamal R. Spectrum of Ovarian Incidentalomas: Diagnosis and Management. Br J Radiol 2023; 96:20211325. [PMID: 35142537 PMCID: PMC9975533 DOI: 10.1259/bjr.20211325] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/29/2022] [Accepted: 02/02/2022] [Indexed: 01/27/2023] Open
Abstract
Incidental ovarian lesions are asymptomatic lesions that are accidentally discovered during a CT or MRI examinations that involves the pelvic cavity or during a routine obstetric ultrasound study. Incidental ovarian masses are usually benign with a very low risk of malignancy yet underlying malignant pathology may be discovered during the diagnostic work-up of these lesions. Suspicion of malignancy is directly correlating with the increase in the patient's age, the increase in the size of the lesion, the presence of the solid components or thick septa and a high color scale of the ovarian mass. Following standard reporting and management protocols are essential to choose the proper work-up of these lesions to avoid unnecessary additional imaging and operative intervention. In this article, we will provide a review of the characteristic imaging features of some incidental and yet commonly encountered ovarian lesions. We will also summarize the recently published algorithms that are important for consistent reporting and standard management of these lesions.
Collapse
Affiliation(s)
| | - Soha Hamed
- Women’s Imaging Unit – Kasr El Ainy Hospital- Cairo University, Cairo, Egypt
| | | |
Collapse
|
35
|
Angelina YA, Tjokroprawiro BA. Advanced Stage Clear Cell Ovarian Carcinoma Mimicking Uterine Sarcoma Without Gross Residual Tumor During Primary Surgery: A Case Report. CLINICAL MEDICINE INSIGHTS-CASE REPORTS 2023; 16:11795476231166623. [PMID: 37056468 PMCID: PMC10088404 DOI: 10.1177/11795476231166623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 03/13/2023] [Indexed: 04/08/2023]
Abstract
Background: Clear cell ovarian carcinoma is rare and accounts for 1%-12% of ovarian epithelial carcinomas, depending on ethnicity. The prevalence of clear cell ovarian carcinoma in Asian, White, and Black women is 11.1%%, 4.8%, and 3.1%, respectively. Magnetic resonance imaging (MRI) shows that clear cell ovarian carcinomas are typically unilocular cyst-solid (34.9%) or multilocular-solid (41.4%); only 23.7% are solid with papillary projections. MRI can detect clear cell ovarian carcinoma with a sensitivity and specificity of 90% and 87%, respectively. Notably, sometimes ovarian masses have a solid feature and should be differentiated from uterine masses. Clear cell ovarian carcinoma has a better prognosis compared to serous carcinoma when diagnosed at an early stage, but it has a poorer prognosis at an advanced stage. The absence of a residual tumor is a favorable prognostic factor in patients with advanced-stage clear cell ovarian carcinoma. Herein, we present a case in which clear cell ovarian carcinoma was misdiagnosed as uterine sarcoma because imaging showed a mass with a solid uterine-like and necrotic area. In the present case, cytoreductive surgery was performed to remove the entire tumor and its infiltration to the sigmoid colon and left ureter. Hence, the patient had a better prognosis. Case report: A 57-year-old Indonesian woman presented to our hospital (Dr. Soetomo General Hospital) with post-menopausal bleeding, a large solid pelvic mass, and abdominal discomfort. The patient was diagnosed with uterine sarcoma due to the solid feature observed during ultrasonography and MRI. During the surgery, the mass was observed to originate from the left ovary, and primary debulking surgery with a multidisciplinary team was performed with zero residual tumor tissue. The tumor was histopathologically confirmed as clear cell carcinoma. Conclusion: MRI of clear cell ovarian carcinoma can be misdiagnosed as uterine sarcoma due to its solid feature. Additionally, the enlarged mass distorts the anatomical landmarks. Surgery with no residual tumor improves the prognosis for advanced-stage clear cell ovarian carcinoma.
Collapse
Affiliation(s)
- Yoan Alexandria Angelina
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
| | - Brahmana Askandar Tjokroprawiro
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya, Indonesia
| |
Collapse
|
36
|
Gargan ML, Frates MC, Benson CB, Guo Y. O-RADS Ultrasound Version 1: A Scenario-Based Review of Implementation Challenges. AJR Am J Roentgenol 2022; 219:916-927. [PMID: 35856453 DOI: 10.2214/ajr.22.28061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) risk stratification and management system was first published by the American College of Radiology in 2020. It provides standardized terminology for evaluation of ovarian and adnexal masses, aids risk stratification, and provides management guidelines for different categories of lesions. This system has been validated by subsequent research and found to be a useful diagnostic and management tool. However, as noted in the system's governing concepts, in some clinical scenarios, such as patients with acute symptoms or with a history of ovarian malignancy, O-RADS US does not apply, or the system's standard management may be adjusted. Additional scenarios, such as an adnexal mass in pregnancy, present challenges in the application of O-RADS US to assist diagnosis and management. The purpose of this article is to highlight 10 clinical scenarios in which O-RADS US version 1 may not apply, may be difficult to apply, or may require modified management. Additional scenarios in which O-RADS US can be appropriately applied are also described.
Collapse
Affiliation(s)
- Mary Louise Gargan
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Mary C Frates
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Carol B Benson
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| | - Yang Guo
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA 02115
| |
Collapse
|
37
|
The O-RADS MRI score for the characterization of indeterminate ovarian masses: From theory to practice. RADIOLOGIA 2022; 64:542-551. [DOI: 10.1016/j.rxeng.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 07/28/2022] [Indexed: 11/18/2022]
|
38
|
Conde Vasco I, Martins Pereira G, Ferreira J, Cunha TM. Schwannoma mimicking ovarian malignancy. Radiol Case Rep 2022; 17:4308-4313. [PMID: 36132057 PMCID: PMC9483596 DOI: 10.1016/j.radcr.2022.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/02/2022] [Accepted: 08/08/2022] [Indexed: 12/04/2022] Open
Abstract
In this article, we present a case of retroperitoneal schwannoma localized in the pelvic cavity mimicking ovarian carcinoma. A 60-year-old woman presented with a feeling of pelvic heaviness and dyspareunia for 3 months. On physical examination, a hardened mass is palpated on the cul-de-sac of Douglas, measuring approximately 10 cm. The sonographic study showed a retro-uterine solid mass, containing cystic areas, measuring 14 cm. Magnetic resonance imaging showed a solid left tumor in the small pelvis, posterior to the uterus, suspicious of an ovarian malign tumor. Surgery revealed a retroperitoneal pelvic tumor and uterus and adnexa without macroscopic changes. Pathology examination of the pelvic mass confirmed the diagnosis of schwannoma. In the present case, it is emphasized that it is easy to misdiagnose a pelvic mass as an ovarian tumor. While prompt recognition of ovarian cancer remains essential, awareness of processes that mimic ovarian tumors can avoid potential misdiagnosis. The pelvis has a complex anatomy and there are some imaging signs that help assessing the origin of a mass, especially in cases of masses abutting the ovary.
Collapse
|
39
|
Mohamadian A, Moradi B. Simplified Approach for Ovarian-Adnexal Reporting and Data System MRI Risk Stratification System. Korean J Radiol 2022; 23:1115-1117. [PMID: 36305050 PMCID: PMC9614288 DOI: 10.3348/kjr.2022.0489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 08/18/2022] [Accepted: 10/03/2022] [Indexed: 11/06/2022] Open
Affiliation(s)
- Alireza Mohamadian
- Department of Radiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
| | - Behnaz Moradi
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, Yas Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
40
|
Zorzetto G, Coppola A, Molinelli V, Angeretti MG, Casarin J, Fontana F, Piacentino F, Carcano G, Ghezzi F, Venturini M. Spectral CT in peritoneal carcinomatosis from ovarian cancer: a tool for differential diagnosis of small nodules? Eur Radiol Exp 2022; 6:45. [PMID: 36245001 PMCID: PMC9573836 DOI: 10.1186/s41747-022-00302-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 08/04/2022] [Indexed: 01/17/2023] Open
Abstract
The detection of peritoneal carcinomatosis in patients with ovarian cancer is crucial to establish the correct therapeutic planning (debulking surgery versus neoadjuvant chemotherapy). Often, however, the nodules of peritoneal carcinomatosis are very small in size or have a reticular appearance that can mimic the fat stranding that is typical of acute inflammation conditions. Our hypothesis is that the use of dual-layer spectral computed tomography with its applications, such as virtual monoenergetic imaging and Z-effective imaging, might improve the detection and the characterisation of peritoneal nodules, increasing sensitivity and diagnostic accuracy, as recently described for other oncological diseases.
Collapse
|
41
|
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]
|
42
|
MR Imaging of Epithelial Ovarian Neoplasms Part I: Benign and Borderline. Magn Reson Imaging Clin N Am 2022; 31:43-52. [DOI: 10.1016/j.mric.2022.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
|
43
|
Imaging of Metastatic Disease to the Ovary/Adnexa. Magn Reson Imaging Clin N Am 2022; 31:93-107. [DOI: 10.1016/j.mric.2022.06.005] [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]
|
44
|
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.
Collapse
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
| |
Collapse
|
45
|
Guo Y, Phillips CH, Suarez-Weiss K, Roller LA, Frates MC, Benson CB, Shinagare AB. Interreader Agreement and Intermodality Concordance of O-RADS US and MRI for Assessing Large, Complex Ovarian-Adnexal Cysts. Radiol Imaging Cancer 2022; 4:e220064. [PMID: 36178350 PMCID: PMC9530774 DOI: 10.1148/rycan.220064] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2023]
Abstract
Purpose To assess interreader agreement of the Ovarian-Adnexal Reporting and Data System (O-RADS) and intermodality concordance between US and MRI for characterizing complex adnexal cysts measuring 5 cm or larger. Materials and Methods This retrospective study included 58 "complex cysts" measuring at least 5 cm in size observed at both US and MRI in 54 women (median age, 37 years ± 12 [SD]; seven postmenopausal women) between July 2017 and June 2020, identified from an electronic US database. A separate set of two blinded radiologists independently reviewed the US or MR images to assign the O-RADS category, and an adjudicator resolved discrepancies (a total of six readers). Lesion outcome (49 benign, eight malignant, one lost to follow-up) was recorded. Interreader agreement of O-RADS US and O-RADS MRI and concordance between US and MRI were analyzed. Results Interreader agreement was fair for US (κ = 0.31), moderate for MRI (κ = 0.43), and moderate between US and MRI (κ = 0.58). A significant positive correlation was found between O-RADS US and MRI (τ = 0.72, P < .001). The O-RADS 4 threshold yielded the highest accuracy for both US and MRI (area under the receiver operating characteristic curve = 0.92 and 0.995, respectively). Considering O-RADS US 4 or 5 as potentially malignant and 1-3 as benign, eight lesions that were assessed as potentially malignant at US were correctly downgraded to benign by using findings at MRI. Using findings at MRI, one malignant lesion that was assessed as benign at US was upgraded to potentially malignant. Conclusion O-RADS US and MRI had excellent performance and positive correlation, but significant interobserver variability remains. Keywords: Ovary, MR Imaging, Ultrasonography © RSNA, 2022 See also the commentary by Baumgarten in this issue.
Collapse
|
46
|
La clasificación O-RADS RM para caracterización de las masas ováricas indeterminadas. De la teoría a la práctica. RADIOLOGIA 2022. [DOI: 10.1016/j.rx.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
47
|
Li H, Lu J, Deng L, Guo Q, Lin Z, Zhao S, Ge H, Qiang J, Gu Y, Liu Z. Diffusion-Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Prediction of Primary Debulking Surgery for Advanced High-Grade Serous Ovarian Carcinoma. J Magn Reson Imaging 2022; 57:1340-1349. [PMID: 36054024 DOI: 10.1002/jmri.28418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 08/19/2022] [Accepted: 08/19/2022] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Preoperative assessment of whether a successful primary debulking surgery (PDS) can be performed in patients with advanced high-grade serous ovarian carcinoma (HGSOC) remains a challenge. A reliable model to precisely predict resectability is highly demanded. PURPOSE To investigate the value of diffusion-weighted MRI (DW-MRI) combined with morphological characteristics to predict the PDS outcome in advanced HGSOC patients. STUDY TYPE Prospective. SUBJECTS A total of 95 consecutive patients with histopathologically confirmed advanced HGSOC (ranged from 39 to 77 years). FIELDS STRENGTH/SEQUENCE A 3.0 T, readout-segmented echo-planar DWI. ASSESSMENT The MRI morphological characteristics of the primary ovarian tumor, a peritoneal carcinomatosis index (PCI) derived from DWI (DWI-PCI) and histogram analysis of the primary ovarian tumor and the largest peritoneal carcinomatosis were assessed by three radiologists. Three different models were developed to predict the resectability, including a clinicoradiologic model combing MRI morphological characteristic with ascites and CA125 level; DWI-PCI alone; and a fusion model combining the clinical-morphological information and DWI-PCI. STATISTICAL TESTS Multivariate logistic regression analyses, receiver operating characteristic (ROC) curve, net reclassification index (NRI) and integrated discrimination improvement (IDI) were used. A P < 0.05 was considered to be statistically significant. RESULTS Sixty-seven cases appeared as a definite mass, whereas 28 cases as an infiltrative mass. The morphological characteristics and DWI-PCI were independent factors for predicting the resectability, with an AUC of 0.724 and 0.824, respectively. The multivariable predictive model consisted of morphological characteristics, CA-125, and the amount of ascites, with an incremental AUC of 0.818. Combining the application of a clinicoradiologic model and DWI-PCI showed significantly higher AUC of 0.863 than the ones of each of them implemented alone, with a positive NRI and IDI. DATA CONCLUSIONS The combination of two clinical factors, MRI morphological characteristics and DWI-PCI provide a reliable and valuable paradigm for the noninvasive prediction of the outcome of PDS. EVIDENCE LEVEL 2 TECHNICAL EFFICACY: Stage 2.
Collapse
Affiliation(s)
- Haiming Li
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Cardiovascular Institute, Guangzhou, China.,Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jing Lu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lin Deng
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Qinhao Guo
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.,Department of Gynecological oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zijing Lin
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Shuhui Zhao
- Department of Radiology, Xinhua Hospital affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Huijuan Ge
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jinwei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zaiyi Liu
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| |
Collapse
|
48
|
Tao Y, Tang L, Zuo L, Ma Y, Zhang F, Xu Y. Metastatic ovarian tumor from pancreatic cancer treated with combined immunotherapy: A case report. Oncol Lett 2022; 24:344. [PMID: 36072000 PMCID: PMC9434723 DOI: 10.3892/ol.2022.13464] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/18/2022] [Indexed: 11/10/2022] Open
Abstract
Pancreatic cancer (PC) is a fatal disease with a high mortality rate due to difficulties in early diagnosis and metastasis. Common sites of metastasis from PC include the liver, lung, stomach and kidney. Patients diagnosed at already the metastatic stages on presentation constitute 50–55% of the cases, with a 5-year survival rate of 3%. By contrast, secondary ovarian metastases account for 10–25% of all ovarian malignancies, though an accurate diagnosis remain challenging. The present study reports the rare case of a 42-year-old woman with primary hepatic metastasis and secondary ovarian metastasis from PC treated with two lines of immunotherapy, who is also experiencing severe treatment-associated toxicity. The patient first received combined immunotherapy consisting of camrelizumab (200 mg; day 1; every 3 weeks) and chemotherapy with nab-paclitaxel (125 mg/m2; days 1 and 8; every 3 weeks) and gemcitabine (1,000 mg/m2; days 1 and 8; every 3 weeks). She then exhibited a partial response following 4 months of treatment. However, 9 months after the initial treatment, the disease progressed with ovarian involvement, which was confirmed by surgery. Second-line treatment included immunotherapy, targeted therapy and oral chemotherapy (200 mg sintilimab on day 1; 50 mg tegafur from days 1–14, twice daily; and 8 mg anlotinib from days 1–14, every 3 weeks). The progression-free survival time from this second-line treatment was 6 months. Immunotherapy was permanently aborted due to severe intestinal inflammation, where four lines of combined treatments were recommended. The patient remains on treatment with a good quality of life in July 2022, and a current overall survival time of >24 months. In conclusion, the diagnosis of metastatic PC leads to a poor prognosis, but ovarian metastasis from PC is rare. Furthermore, the combination of immunotherapy with chemotherapy or antiangiogenic inhibitors shows promise as a treatment strategy for advanced stages of PC.
Collapse
Affiliation(s)
- Yiying Tao
- Department of Oncology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, P.R. China
| | - Lei Tang
- Department of Oncology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, Jiangsu 215000, P.R. China
| | - Li Zuo
- Department of Oncology, Fudan University Shanghai Cancer Center, Minhang Branch, Shanghai 201100, P.R. China
| | - Yue Ma
- Department of Oncology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, P.R. China
| | - Fengchun Zhang
- Department of Oncology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, Jiangsu 215000, P.R. China
| | - Yingchun Xu
- Department of Oncology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200127, P.R. China
| |
Collapse
|
49
|
Magnetic resonance imaging findings of cystic ovarian tumors: major differential diagnoses in five types frequently encountered in daily clinical practice. Jpn J Radiol 2022; 40:1213-1234. [PMID: 35916971 DOI: 10.1007/s11604-022-01321-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 07/21/2022] [Indexed: 10/16/2022]
Abstract
There are many types of ovarian tumors, and these different types often form cystic masses with a similar appearance, which can make their differentiation difficult. However, with the exclusion of rare ovarian tumors, the number of ovarian tumors encountered in daily practice is somewhat fixed. It goes without saying that magnetic resonance imaging (MRI) is useful for differentiating ovarian tumors. In this review, we summarize the differential diagnoses for each of the five types of MRI findings commonly encountered in daily practice. First, unilocular cystic masses without mural nodules/solid components include benign lesions such as serous cystadenoma, functional cysts, surface epithelial inclusion cysts, paratubal cysts, and endometriosis. Second, multilocular cystic ovarian lesions include mucinous tumors and ovarian metastases. It should be noted that mucinous tumors may be diagnosed as borderline or carcinoma, even if no solid component is observed. Third, cystic lesions with mural nodules that are unrelated to endometriosis include serous borderline tumor and serous carcinoma. Cystic lesions with solid components are more likely to be malignant, but some may be diagnosed as benign. Fourth, ovarian tumors deriving from endometriosis include seromucinous borderline tumors, endometrioid carcinoma, and clear cell carcinoma. These tumors sometimes need to be differentiated from serous tumors. Finally, cystic lesions with lipid contents include teratoma-related tumors. In mature cystic teratoma, mural nodules (called "Rokitansky protuberance" or "dermoid nipple") are sometimes seen, but they do not suggest malignancy. Some of these lesions can be diagnosed accurately by considering their characteristic imaging findings, their changes over time, MRI findings other than those of the primary lesion, and information from other modalities such as tumor markers. To ensure the optimal treatment for ovarian tumors, it is important to estimate the histological type as well as to diagnose whether a lesion is benign or malignant.
Collapse
|
50
|
Rao S, Smith DA, Guler E, Kikano EG, Rajdev MA, Yoest JM, Ramaiya NH, Tirumani SH. Past, Present, and Future of Serum Tumor Markers in Management of Ovarian Cancer: A Guide for the Radiologist. Radiographics 2021; 41:1839-1856. [PMID: 34597221 DOI: 10.1148/rg.2021210005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The ability to accurately detect early ovarian cancer and subsequently monitor treatment response is essential to improving survival for patients with ovarian malignancies. Several serum tumor markers (STMs)-including cancer antigen 125 (CA-125), human epididymis protein 4 (HE4), cancer antigen 19-9 (CA 19-9), and carcinoembryonic antigen (CEA)-have been used as a noninvasive method of identifying ovarian cancer in conjunction with imaging. Although current guidelines do not recommend use of STMs as screening tools for ovarian cancer, these markers have clinical utility in both diagnosis and surveillance for women with ovarian cancer. CA-125 is the most commonly used STM; its level may be elevated in several types of ovarian cancer, including epithelial cell tumors, carcinosarcoma, teratomas, and secondary ovarian malignancies. An elevated level of CA 19-9 is associated with clear cell tumors, teratomas, and secondary malignancies. CEA is most commonly associated with mucinous ovarian cancers. Finally, HE4 is being increasingly used to identify certain subtypes of epithelial ovarian cancers, particularly serous and endometrioid tumors. Diagnosis of ovarian cancers relies on a combination of CA-125 levels and US findings, which include a large adnexal mass or high-risk features, including septa and increased vascularity. CT is preferred for staging and is used along with PET and STM monitoring for surveillance. Increasingly, MRI is being used to characterize ovarian lesions that are indeterminate at US or CT. The future of STM testing involves development of "liquid biopsies," in which plasma samples are analyzed for evidence of tumors, including circulating tumor DNA or tumor cells and tumor micro-RNA. When combined with traditional imaging techniques, liquid biopsies may lead to earlier diagnosis and improved survival. An invited commentary by Shinagare is available online. ©RSNA, 2021.
Collapse
Affiliation(s)
- Sanjay Rao
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Daniel A Smith
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Ezgi Guler
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Elias G Kikano
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Maharshi A Rajdev
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Jennifer M Yoest
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Nikhil H Ramaiya
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| | - Sree Harsha Tirumani
- From the Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Ave, B114, Cleveland, OH 44106-4915 (S.R., D.A.S., E.G., E.G.K., M.A.R., N.H.R., S.H.T.); and Department of Pathology, Case Western Reserve University, Cleveland, Ohio (J.M.Y.)
| |
Collapse
|