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Giourga M, Petropoulos I, Stavros S, Potiris A, Gerede A, Sapantzoglou I, Fanaki M, Papamattheou E, Karasmani C, Karampitsakos T, Topis S, Zikopoulos A, Daskalakis G, Domali E. Enhancing Ovarian Tumor Diagnosis: Performance of Convolutional Neural Networks in Classifying Ovarian Masses Using Ultrasound Images. J Clin Med 2024; 13:4123. [PMID: 39064163 PMCID: PMC11277638 DOI: 10.3390/jcm13144123] [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: 05/29/2024] [Revised: 06/29/2024] [Accepted: 07/05/2024] [Indexed: 07/28/2024] Open
Abstract
Background/Objectives: This study aims to create a strong binary classifier and evaluate the performance of pre-trained convolutional neural networks (CNNs) to effectively distinguish between benign and malignant ovarian tumors from still ultrasound images. Methods: The dataset consisted of 3510 ultrasound images from 585 women with ovarian tumors, 390 benign and 195 malignant, that were classified by experts and verified by histopathology. A 20% to80% split for training and validation was applied within a k-fold cross-validation framework, ensuring comprehensive utilization of the dataset. The final classifier was an aggregate of three pre-trained CNNs (VGG16, ResNet50, and InceptionNet), with experimentation focusing on the aggregation weights and decision threshold probability for the classification of each mass. Results: The aggregate model outperformed all individual models, achieving an average sensitivity of 96.5% and specificity of 88.1% compared to the subjective assessment's (SA) 95.9% sensitivity and 93.9% specificity. All the above results were calculated at a decision threshold probability of 0.2. Notably, misclassifications made by the model were similar to those made by SA. Conclusions: CNNs and AI-assisted image analysis can enhance the diagnosis and aid ultrasonographers with less experience by minimizing errors. Further research is needed to fine-tune CNNs and validate their performance in diverse clinical settings, potentially leading to even higher sensitivity and overall accuracy.
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Affiliation(s)
- Maria Giourga
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Ioannis Petropoulos
- School of Electrical & Computer Engineering, National Technical University of Athens, 15772 Athens, Greece
| | - Sofoklis Stavros
- Third Department of Obstetrics and Gynecology, University Hospital “ATTIKON”, Medical School of the National and Kapodistrian University of Athens, 12462 Athens, Greece; (S.S.); (A.P.); (T.K.); (S.T.); (A.Z.)
| | - Anastasios Potiris
- Third Department of Obstetrics and Gynecology, University Hospital “ATTIKON”, Medical School of the National and Kapodistrian University of Athens, 12462 Athens, Greece; (S.S.); (A.P.); (T.K.); (S.T.); (A.Z.)
| | - Angeliki Gerede
- Department of Obstetrics and Gynecology, University of Thrace, 68100 Alexandroupolis, Greece;
| | - Ioakeim Sapantzoglou
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Maria Fanaki
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Eleni Papamattheou
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Christina Karasmani
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Theodoros Karampitsakos
- Third Department of Obstetrics and Gynecology, University Hospital “ATTIKON”, Medical School of the National and Kapodistrian University of Athens, 12462 Athens, Greece; (S.S.); (A.P.); (T.K.); (S.T.); (A.Z.)
| | - Spyridon Topis
- Third Department of Obstetrics and Gynecology, University Hospital “ATTIKON”, Medical School of the National and Kapodistrian University of Athens, 12462 Athens, Greece; (S.S.); (A.P.); (T.K.); (S.T.); (A.Z.)
| | - Athanasios Zikopoulos
- Third Department of Obstetrics and Gynecology, University Hospital “ATTIKON”, Medical School of the National and Kapodistrian University of Athens, 12462 Athens, Greece; (S.S.); (A.P.); (T.K.); (S.T.); (A.Z.)
| | - Georgios Daskalakis
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
| | - Ekaterini Domali
- 1st Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens, 11528 Athens, Greece; (I.S.); (M.F.); (E.P.); (C.K.); (G.D.); (E.D.)
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Moro F, Ciancia M, Zace D, Vagni M, Tran HE, Giudice MT, Zoccoli SG, Mascilini F, Ciccarone F, Boldrini L, D'Antonio F, Scambia G, Testa AC. Role of artificial intelligence applied to ultrasound in gynecology oncology: A systematic review. Int J Cancer 2024. [PMID: 38989809 DOI: 10.1002/ijc.35092] [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: 04/12/2024] [Revised: 06/03/2024] [Accepted: 06/27/2024] [Indexed: 07/12/2024]
Abstract
The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed using QUADAS-AI tool. Fifty studies were included, of these 37/50 (74.0%) on ovarian masses or ovarian cancer, 5/50 (10.0%) on endometrial cancer, 5/50 (10.0%) on cervical cancer, and 3/50 (6.0%) on other malignancies. Most studies were at high risk of bias for subject selection (i.e., sample size, source, or scanner model were not specified; data were not derived from open-source datasets; imaging preprocessing was not performed) and index test (AI models was not externally validated) and at low risk of bias for reference standard (i.e., the reference standard correctly classified the target condition) and workflow (i.e., the time between index test and reference standard was reasonable). Most studies presented machine learning models (33/50, 66.0%) for the diagnosis and histopathological correlation of ovarian masses, while others focused on automatic segmentation, reproducibility of radiomics features, improvement of image quality, prediction of therapy resistance, progression-free survival, and genetic mutation. The current evidence supports the role of AI as a complementary clinical and research tool in diagnosis, patient stratification, and prediction of histopathological correlation in gynecological malignancies. For example, the high performance of AI models to discriminate between benign and malignant ovarian masses or to predict their specific histology can improve the diagnostic accuracy of imaging methods.
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Affiliation(s)
- Francesca Moro
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Marianna Ciancia
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
- Dipartimento di Salute della Donna e del Bambino, Università degli studi di Padova, Padova, Italy
| | - Drieda Zace
- Infectious Disease Clinic, Department of Systems Medicine, Tor Vergata University, Rome, Italy
| | - Marica Vagni
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Huong Elena Tran
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Maria Teresa Giudice
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Sofia Gambigliani Zoccoli
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
- Department of Medical and Surgical Sciences for Mother, Child and Adult, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria Policlinico, Modena, Italy
| | - Floriana Mascilini
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Francesca Ciccarone
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | - Luca Boldrini
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
| | | | - Giovanni Scambia
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Antonia Carla Testa
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, Rome, Italy
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy
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Whitney HM, Yoeli-Bik R, Abramowicz JS, Lan L, Li H, Longman RE, Lengyel E, Giger ML. AI-based automated segmentation for ovarian/adnexal masses and their internal components on ultrasound imaging. J Med Imaging (Bellingham) 2024; 11:044505. [PMID: 39114540 PMCID: PMC11301525 DOI: 10.1117/1.jmi.11.4.044505] [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: 01/22/2024] [Revised: 05/21/2024] [Accepted: 07/10/2024] [Indexed: 08/10/2024] Open
Abstract
Purpose Segmentation of ovarian/adnexal masses from surrounding tissue on ultrasound images is a challenging task. The separation of masses into different components may also be important for radiomic feature extraction. Our study aimed to develop an artificial intelligence-based automatic segmentation method for transvaginal ultrasound images that (1) outlines the exterior boundary of adnexal masses and (2) separates internal components. Approach A retrospective ultrasound imaging database of adnexal masses was reviewed for exclusion criteria at the patient, mass, and image levels, with one image per mass. The resulting 54 adnexal masses (36 benign/18 malignant) from 53 patients were separated by patient into training (26 benign/12 malignant) and independent test (10 benign/6 malignant) sets. U-net segmentation performance on test images compared to expert detailed outlines was measured using the Dice similarity coefficient (DSC) and the ratio of the Hausdorff distance to the effective diameter of the outline (R HD - D ) for each mass. Subsequently, in discovery mode, a two-level fuzzy c-means (FCM) unsupervised clustering approach was used to separate the pixels within masses belonging to hypoechoic or hyperechoic components. Results The DSC (median [95% confidence interval]) was 0.91 [0.78, 0.96], andR HD - D was 0.04 [0.01, 0.12], indicating strong agreement with expert outlines. Clinical review of the internal separation of masses into echogenic components demonstrated a strong association with mass characteristics. Conclusion A combined U-net and FCM algorithm for automatic segmentation of adnexal masses and their internal components achieved excellent results compared with expert outlines and review, supporting future radiomic feature-based classification of the masses by components.
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Affiliation(s)
- Heather M. Whitney
- The University of Chicago, Department of Radiology, Chicago, Illinois, United States
| | - Roni Yoeli-Bik
- The University of Chicago, Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, Chicago, Illinois, United States
| | - Jacques S. Abramowicz
- The University of Chicago, Department of Obstetrics and Gynecology/Section of Ultrasound, Genetics, and Fetal Neonatal Care Center, Chicago, Illinois, United States
| | - Li Lan
- The University of Chicago, Department of Radiology, Chicago, Illinois, United States
| | - Hui Li
- The University of Chicago, Department of Radiology, Chicago, Illinois, United States
| | - Ryan E. Longman
- The University of Chicago, Department of Obstetrics and Gynecology/Section of Ultrasound, Genetics, and Fetal Neonatal Care Center, Chicago, Illinois, United States
| | - Ernst Lengyel
- The University of Chicago, Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, Chicago, Illinois, United States
| | - Maryellen L. Giger
- The University of Chicago, Department of Radiology, Chicago, Illinois, United States
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Dur R, Demirdag E, Yucel Celik O, Karahanoglu E, Dur G, Ozdemir CY, Yucel A, Moraloglu Tekin O. Adnexal masses and pregnancy: a single-center experience of 9 years. Arch Gynecol Obstet 2024; 310:387-394. [PMID: 38704757 DOI: 10.1007/s00404-024-07527-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: 09/20/2022] [Accepted: 04/21/2024] [Indexed: 05/07/2024]
Abstract
PURPOSE This study aims to analyze the experience of a tertiary health center about the management of adnexal masses that have been diagnosed during pregnancy or detected accidentally during cesarean delivery. METHODS This is a retrospective review of 160 women who underwent concurrent surgery for adnexal mass during cesarean section, 24 women who delivered vaginally and subsequently had surgery due to the prenatal diagnosis of adnexal mass and 10 women who underwent surgery for adnexal mass during pregnancy. Corresponding to the delivery and surgery times, 200 women who had no diagnosis of pregnancy-associated adnexal mass served as controls. RESULTS The women in the control group and study groups had statistically similar gestational age at delivery, birth weight and preterm delivery (p > 0.05 for all). Miscarriage was significantly more frequent in women undergoing surgery for adnexal mass during pregnancy (p = 0.001). The women who had surgery for adnexal mass during pregnancy, at the time of cesarean section and following delivery were statistically similar with respect to surgery type and histopathological diagnosis (p > 0.05 for both). Malignancy was detected in none of the patients who underwent surgery for adnexal mass during pregnancy. Acute abdomen was the indication for the emergency surgery in six patients (3.5%) who had surgery for adnexal mass during pregnancy. Four patients (2.4%) had surgery for adnexal mass during pregnancy due to the high index of suspicion for malignancy. CONCLUSION The risk of malignancy was relatively lower in this cohort of adnexal masses detected during pregnancy and cesarean delivery. Surgical management of adnexal masses should be postponed to postpartum period as such management leads to an increased risk of miscarriage. Unless there is a need for emergent surgery or cancer staging, vaginal delivery should be encouraged in women diagnosed with adnexal mass during pregnancy.
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Affiliation(s)
- Rıza Dur
- Department of Obstetrics and Gynecology, Afyonkarahisar Health Sciences University Hospital, Afyonkarahisar, Turkey.
- Zafer Sağlık Külliyesi Dörtyol Mahallesi, 2078 Sokak No: 3, Afyonkarahisar, Turkey.
| | - Erhan Demirdag
- Department of Obstetrics and Gynecology, Gazi University Hospital, Ankara, Turkey
| | - Ozge Yucel Celik
- Department of Perinatology, Van Training and Research Hospital, Van, Turkey
| | | | - Gamze Dur
- Department of Family Medicine, Afyonkarahisar Health Sciences University Hospital, Afyonkarahisar, Turkey
| | - Cem Yagmur Ozdemir
- Department of Obstetrics and Gynecology, Afyonkarahisar Health Sciences University Hospital, Afyonkarahisar, Turkey
| | - Aykan Yucel
- Department of Obstetrics and Gynecology Obstetrics, Ankara City Hospital, Ankara, Turkey
| | - Ozlem Moraloglu Tekin
- Department of Obstetrics and Gynecology Obstetrics, Ankara City Hospital, Ankara, Turkey
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Patel-Lippmann KK, Wasnik AP, Akin EA, Andreotti RF, Ascher SM, Brook OR, Eskander RN, Feldman MK, Jones LP, Martino MA, Patel MD, Patlas MN, Revzin MA, VanBuren W, Yashar CM, Kang SK. ACR Appropriateness Criteria® Clinically Suspected Adnexal Mass, No Acute Symptoms: 2023 Update. J Am Coll Radiol 2024; 21:S79-S99. [PMID: 38823957 DOI: 10.1016/j.jacr.2024.02.017] [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: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 06/03/2024]
Abstract
Asymptomatic adnexal masses are commonly encountered in daily radiology practice. Although the vast majority of these masses are benign, a small subset have a risk of malignancy, which require gynecologic oncology referral for best treatment outcomes. Ultrasound, using a combination of both transabdominal, transvaginal, and duplex Doppler technique can accurately characterize the majority of these lesions. MRI with and without contrast is a useful complementary modality that can help characterize indeterminate lesions and assess the risk of malignancy is those that are suspicious. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation.
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Affiliation(s)
| | | | - Esma A Akin
- The George Washington University Medical Center, Washington, District of Columbia; Commission on Nuclear Medicine and Molecular Imaging
| | | | - Susan M Ascher
- MedStar Georgetown University Hospital, Washington, District of Columbia
| | - Olga R Brook
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Ramez N Eskander
- University of California, San Diego, San Diego, California; American College of Obstetricians and Gynecologists
| | | | - Lisa P Jones
- Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Martin A Martino
- Ascension St. Vincent's, Jacksonville, Florida; University of South Florida, Tampa, Florida, Gynecologic oncologist
| | | | - Michael N Patlas
- Department of Medical Imaging, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Margarita A Revzin
- Yale University School of Medicine, New Haven, Connecticut; Committee on Emergency Radiology-GSER
| | | | - Catheryn M Yashar
- University of California, San Diego, San Diego, California; Commission on Radiation Oncology
| | - Stella K Kang
- Specialty Chair, New York University Medical Center, New York, New York
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Liu L, Cai W, Tian H, Wu B, Zhang J, Wang T, Hao Y, Yue G. Ultrasound image-based nomogram combining clinical, radiomics, and deep transfer learning features for automatic classification of ovarian masses according to O-RADS. Front Oncol 2024; 14:1377489. [PMID: 38812784 PMCID: PMC11133542 DOI: 10.3389/fonc.2024.1377489] [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: 01/27/2024] [Accepted: 04/16/2024] [Indexed: 05/31/2024] Open
Abstract
Background Accurate and rapid discrimination between benign and malignant ovarian masses is crucial for optimal patient management. This study aimed to establish an ultrasound image-based nomogram combining clinical, radiomics, and deep transfer learning features to automatically classify the ovarian masses into low risk and intermediate-high risk of malignancy lesions according to the Ovarian- Adnexal Reporting and Data System (O-RADS). Methods The ultrasound images of 1,080 patients with 1,080 ovarian masses were included. The training cohort consisting of 683 patients was collected at the South China Hospital of Shenzhen University, and the test cohort consisting of 397 patients was collected at the Shenzhen University General Hospital. The workflow included image segmentation, feature extraction, feature selection, and model construction. Results The pre-trained Resnet-101 model achieved the best performance. Among the different mono-modal features and fusion feature models, nomogram achieved the highest level of diagnostic performance (AUC: 0.930, accuracy: 84.9%, sensitivity: 93.5%, specificity: 81.7%, PPV: 65.4%, NPV: 97.1%, precision: 65.4%). The diagnostic indices of the nomogram were higher than those of junior radiologists, and the diagnostic indices of junior radiologists significantly improved with the assistance of the model. The calibration curves showed good agreement between the prediction of nomogram and actual classification of ovarian masses. The decision curve analysis showed that the nomogram was clinically useful. Conclusion This model exhibited a satisfactory diagnostic performance compared to junior radiologists. It has the potential to improve the level of expertise of junior radiologists and provide a fast and effective method for ovarian cancer screening.
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Affiliation(s)
- Lu Liu
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Wenjun Cai
- Department of Ultrasound, Shenzhen University General Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Hongyan Tian
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Beibei Wu
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Jing Zhang
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Ting Wang
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Yi Hao
- Department of Ultrasound Medicine, South China Hospital, Medical School, Shenzhen University, Shenzhen, China
| | - Guanghui Yue
- National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China
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Suh-Burgmann EJ, Hung YY, Schmittdiel JA. Ovarian cancer risk among older patients with stable adnexal masses. Am J Obstet Gynecol 2024:S0002-9378(24)00525-8. [PMID: 38703938 DOI: 10.1016/j.ajog.2024.04.019] [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: 02/17/2024] [Revised: 04/10/2024] [Accepted: 04/15/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND Few studies have evaluated the risk of cancer among older patients with stable adnexal masses in community-based settings to determine the duration of observation time needed. OBJECTIVE This study aimed to assess the ovarian cancer risk among older patients with stable adnexal masses on ultrasound. STUDY DESIGN This was a retrospective cohort study of patients in a large community-based health system aged ≥50 years with an adnexal mass <10 cm on ultrasound between 2016 and 2020 who had at least 1 follow-up ultrasound performed ≥6 weeks after initial ultrasound. Masses were considered stable on follow-up examination if they did not exhibit an increase of >1 cm in the greatest dimension or a change in standardized reported ultrasound characteristics. Ovarian cancer risk was determined at increasing time intervals of stability after initial ultrasound. RESULTS Among 4061 patients with stable masses, the average age was 61 years (range, 50-99), with an initial mass size of 3.8 cm (range, 0.2-9.9). With a median follow-up of 3.7 years, 11 cancers were detected, with an absolute risk of 0.27%. Ovarian cancer risk declined with longer duration of stability, from 0.73 (95% confidence interval, 0.30-1.17) per 1000 person-years at 6 to 12 weeks, 0.63 (95% confidence interval, 0.19-1.07) at 13 to 24 weeks, 0.44 (95% confidence interval, 0.01-0.87) at 25 to 52 weeks, and 0.00 (95% confidence interval, 0.00-0.00) at >52 weeks. Expressed as number needed to reimage, ongoing ultrasound imaging would be needed for 369 patients whose masses show stability at 6 to 12 weeks, 410 patients at 13 to 24 weeks, 583 patients at 25 to 52 weeks, and >1142 patients with stable masses at 53 to 104 weeks to detect 1 case of ovarian cancer. CONCLUSION In a diverse community-based setting, among patients aged ≥50 years with an adnexal mass that was stable for at least 6 weeks after initial ultrasound, the risk of ovarian cancer was very low at 0.27%. Longer demonstrated duration of stability was associated with progressively lower risk, with no cancer cases observed after 52 weeks of stability. These findings suggest that the benefit of ultrasound monitoring of stable masses beyond 12 months is minimal and may be outweighed by potential risks of repeated imaging.
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Affiliation(s)
- Elizabeth J Suh-Burgmann
- Division of Gynecologic Oncology, The Permanente Medical Group, Walnut Creek, CA; Division of Research, Kaiser Permanente Northern California, Walnut Creek, CA.
| | - Yun-Yi Hung
- Division of Research, Kaiser Permanente Northern California, Walnut Creek, CA
| | - Julie A Schmittdiel
- Division of Research, Kaiser Permanente Northern California, Walnut Creek, CA
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Han J, Wen J, Hu W. Comparison of O-RADS with the ADNEX model and IOTA SR for risk stratification of adnexal lesions: a systematic review and meta-analysis. Front Oncol 2024; 14:1354837. [PMID: 38756655 PMCID: PMC11096596 DOI: 10.3389/fonc.2024.1354837] [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: 12/14/2023] [Accepted: 04/15/2024] [Indexed: 05/18/2024] Open
Abstract
Purpose This study aims to systematically compare the diagnostic performance of the Ovarian-Adnexal Reporting and Data System with the International Ovarian Tumor Analysis Simple Rules and the Assessment of Different NEoplasias in the adneXa model for risk stratification of ovarian cancer and adnexal masses. Methods A literature search of online databases for relevant studies up to July 2023 was conducted by two independent reviewers. The summary estimates were pooled with the hierarchical summary receiver-operating characteristic model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 and the Quality Assessment of Diagnostic Accuracy Studies-Comparative Tool. Metaregression and subgroup analyses were performed to explore the impact of varying clinical settings. Results A total of 13 studies met the inclusion criteria. The pooled sensitivity and specificity for eight head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model were 0.96 (95% CI 0.92-0.98) and 0.82 (95% CI 0.71-0.90) vs. 0.94 (95% CI 0.91-0.95) and 0.83 (95% CI 0.77-0.88), respectively, and for seven head-to-head studies between the Ovarian-Adnexal Reporting and Data System and the International Ovarian Tumor Analysis Simple Rules, the pooled sensitivity and specificity were 0.95 (95% CI 0.93-0.97) and 0.75 (95% CI 0.62-0.85) vs. 0.91 (95% CI 0.82-0.96) and 0.86 (95% CI 0.76-0.93), respectively. No significant differences were found between the Ovarian-Adnexal Reporting and Data System and the Assessment of Different NEoplasias in the adneXa model as well as the International Ovarian Tumor Analysis Simple Rules in terms of sensitivity (P = 0.57 and P = 0.21) and specificity (P = 0.87 and P = 0.12). Substantial heterogeneity was observed among the studies for all three guidelines. Conclusion All three guidelines demonstrated high diagnostic performance, and no significant differences in terms of sensitivity or specificity were observed between the three guidelines.
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Affiliation(s)
- Jing Han
- Department of Radiology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China
| | - Jing Wen
- Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China
| | - Wei Hu
- Department of Radiology, Yixing Traditional Chinese Medicine Hospital, Yixing, China
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Mundhra R, Bahadur A, Kashibhatla J, Kishore S, Chaturvedi J. Comparing Four Different Risk Malignancy Indices in Differentiating Benign and Malignant Ovarian Masses. J Midlife Health 2024; 15:75-80. [PMID: 39145276 PMCID: PMC11321511 DOI: 10.4103/jmh.jmh_192_23] [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: 09/27/2023] [Revised: 12/07/2023] [Accepted: 12/22/2023] [Indexed: 08/16/2024] Open
Abstract
Background Accurate prediction of ovarian masses preoperatively is crucial for optimal management of ovarian cancers. Objective The objective of this study was to identify the risk of malignancy index (RMI) incorporating menopausal status, serum carbohydrate antigen 125 levels, and imaging findings for presurgical differentiation of benign from malignant ovarian masses and to evaluate the diagnostic ability of four different RMIs. Materials and Methods Women presenting with ovarian masses from August 2018 to January 2020 were evaluated preoperatively with detailed history, examination, imaging, and tumor markers. RMI 1-4 was calculated for all patients. Evaluation of the diagnostic utility of four different RMIs for preoperative identification of malignancy was based on the increment of the area under the receiver operating characteristic curve. Histopathological diagnosis was used as the gold standard test. Results One hundred and twenty-one patients fulfilling the eligibility criteria were enrolled in this study. Benign tumors constituted 61 (50.4%) out of 121 cases, followed by malignant tumors and borderline tumors constituting 49 (40.49%) cases and 11 (9.09%) cases, respectively. The sensitivity of RMIs 1, 2, 3, and 4 was 77.0%, 63%, 77.0%, and 77.0%, respectively, and the specificity was 84%, 86%, 77%, and 71%, respectively. The RMI 2 had higher specificity at predicting malignancy than other RMIs while diagnostic accuracy was highest in RMI 1. Conclusion The RMI method is a simple and cost-effective technique in preoperative differentiation of ovarian masses.
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Affiliation(s)
- Rajlaxmi Mundhra
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Anupama Bahadur
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Jyotshna Kashibhatla
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Sanjeev Kishore
- Department of Pathology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
| | - Jaya Chaturvedi
- Department of Obstetrics and Gynecology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India
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Dewangan S, Gupta S, Chawla I. Comparison of Simple Ultrasound Rules by International Ovarian Tumor Analysis (IOTA) with RMI-1 and RMI-4 (Risk of Malignancy Index) in Preoperative Differentiation of Benign and Malignant Adnexal Masses. J Obstet Gynaecol India 2024; 74:158-164. [PMID: 38707882 PMCID: PMC11065795 DOI: 10.1007/s13224-023-01890-5] [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: 08/16/2023] [Accepted: 10/17/2023] [Indexed: 05/07/2024] Open
Abstract
Background IOTA proposed Simple Ultrasound Rules in 2009 for preoperative diagnosis of ovarian masses based on ultrasound only. It is an accurate, simple and inexpensive method. RMI, however, requires CA125 level. While RMI-4 is the latest, RMI-1 is still the most widely used method. The present study was done to compare IOTA Rules with RMI-1 and RMI-4. Purpose To differentiate benign and malignant adnexal masses preoperatively using IOTA simple rules and compare its accuracy with RMI-1 and RMI-4. Methods A prospective observational study was performed from 1st November 2019 to 31st March 2021 in the Department of Obstetrics and Gynaecology, ABVIMS and Dr. RML Hospital, New Delhi. This study was conducted on 70 patients with adnexal masses who underwent pre-operative evaluation using IOTA Simple Rules, RMI-1 and RMI-4. Histopathology was used to compare the results. Results Out of 70 patients, 59 (84.3%) cases were benign and 11 (15.7%) were malignant. The IOTA Rules were applicable to 60 cases (85.7%), and the results were inconclusive in 10 cases (14.3%). Where applicable, the sensitivity and specificity of the IOTA Rules (88.9% and 94.1%, respectively) were significantly higher than RMI-1 (45.5% and 93.2%, respectively) and RMI-4 (45.5% and 89.8%, respectively). When inconclusive results were included as malignant, the sensitivity of the IOTA Rules increased (88.9% vs 90.9%); however, the specificity decreased (94.1% vs 81.4%). Conclusion IOTA Simple Rules were more accurate at diagnosing benign from malignant adnexal masses than RMI-1 and RMI-4. However, the rules were not applicable to 14% of the cases.
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Affiliation(s)
- Shalinee Dewangan
- Obstetrics and Gynaecology Department, ABVIMS and Dr. RML Hospital Delhi, New Delhi, 110001 India
| | - Sonal Gupta
- Obstetrics and Gynaecology Department, ABVIMS and Dr. RML Hospital Delhi, New Delhi, 110001 India
| | - Indu Chawla
- Obstetrics and Gynaecology Department, ABVIMS and Dr. RML Hospital Delhi, New Delhi, 110001 India
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Centini G, Schettini G, Pieri E, Giorgi M, Lazzeri L, Martire FG, Mancini V, Raimondo D, Seracchioli R, Habib N, Fedele F, Zupi E. Endometriosis-Related Ovarian Cancer: Where Are We Now? A Narrative Review towards a Pragmatic Approach. J Clin Med 2024; 13:1933. [PMID: 38610698 PMCID: PMC11012952 DOI: 10.3390/jcm13071933] [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: 03/06/2024] [Revised: 03/21/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Endometriosis affects more than 10% of reproductive-aged women, causing pelvic pain and infertility. Despite the benign nature of endometriosis, ovarian endometriomas carry a higher risk of developing endometrioid carcinomas (EnOCs) and clear cell ovarian carcinomas (CCCs). Atypical endometriosis, defined as cytological atypia resembling intraepithelial cancer, is considered the precursor of endometriosis-associated ovarian cancer (EAOC). This narrative review aims to provide an overview of EAOC, proposing a practical approach to clinical and therapeutic decision making. METHODS An electronic literature search was conducted from inception up to January 2023, using the MEDLINE database via PubMed to evaluate the existing literature on EAOC, including its pathogenesis, the diagnostic process, and the therapeutic possibilities, with articles not relevant to the topic or lacking scientific merit being excluded. RESULTS Eighty-one articles were included in the review to present the current state of the art regarding EAOC. A pragmatic clinical flowchart is proposed to guide therapeutic decisions and improve patient outcomes. CONCLUSIONS Endometriosis patients may have an increased risk of developing EAOC (either EnOC or CCC). Despite not being fully accepted, the concept of AE may reshape the endometriosis-ovarian cancer relationship. Further research is needed to understand the unaddressed issues.
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Affiliation(s)
- Gabriele Centini
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
| | - Giorgia Schettini
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
| | - Emilio Pieri
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
| | - Matteo Giorgi
- Department of Surgical Sciences, Gynecological Unit, Valdarno Hospital, 52025 Montevarchi, Italy
| | - Lucia Lazzeri
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
| | - Francesco Giuseppe Martire
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
- Department of Surgical Sciences, Gynecological Unit, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | - Virginia Mancini
- Department of Medical Biotechnology, Section of Pathology, University of Siena, 53100 Siena, Italy;
| | - Diego Raimondo
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (D.R.); (R.S.)
| | - Renato Seracchioli
- Division of Gynecology and Human Reproduction Physiopathology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy; (D.R.); (R.S.)
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40138 Bologna, Italy
| | - Nassir Habib
- Department of Obstetrics and Gynecology, Francois Quesnay Hospital, 78201 Mantes-la-Jolie, France;
| | - Francesco Fedele
- Department of Obstetrics and Gynecology, Fondazione “Policlinico-Mangiagalli-Regina Elena” University of Milan, 20122 Milan, Italy;
| | - Errico Zupi
- Department of Molecular and Developmental Medicine, Obstetrics and Gynecological Clinic, University of Siena, 53100 Siena, Italy; (G.C.); (G.S.); (E.P.); (L.L.); (F.G.M.)
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12
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Pascual MA, Vancraeynest L, Timmerman S, Ceusters J, Ledger A, Graupera B, Rodriguez I, Valero B, Landolfo C, Testa AC, Bourne T, Timmerman D, Valentin L, Van Calster B, Froyman W. Validation of ADNEX and IOTA two-step strategy and estimation of risk of complications during follow-up of adnexal masses in low-risk population. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2024. [PMID: 38477179 DOI: 10.1002/uog.27642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 02/03/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
OBJECTIVES To evaluate the ability of the Assessment of Different NEoplasias in the adneXa (ADNEX) model and the International Ovarian Tumour Analysis (IOTA) two-step strategy to predict malignancy in adnexal masses detected in an outpatient low-risk setting, and to estimate the risk of complications in masses with benign ultrasound morphology managed using clinical and ultrasound follow-up. METHODS This single-center study was performed at Hospital Universitari Dexeus, Barcelona, Spain, using interim data from the ongoing prospective observational IOTA Phase-5 (IOTA5) study. The primary aim of the IOTA5 study is to describe the cumulative incidence of complications during follow-up of adnexal masses classified as benign on ultrasound examination. Consecutive patients with an adnexal mass detected between June 2012 and September 2016 in a private center offering screening for gynecological cancer were included and followed up until February 2020. Tumors were classified as benign or malignant based on histology (if patients underwent surgery) or the outcome of clinical and ultrasound follow-up at 12 (range, 10-14) months. Multiple imputation was used when outcomes were uncertain. The ability of the ADNEX model without CA125 and of the IOTA two-step strategy to distinguish benign from malignant masses was evaluated retrospectively using the prospectively collected data. We assessed performance with regard to discrimination (area under the receiver-operating-characteristics curve (AUC)), calibration, classification (sensitivity and specificity) and clinical utility (Net Benefit). In the group of patients with a mass judged to be benign who were selected for conservative management, we evaluated the occurrence of spontaneous resolution or any mass complication during the first 5 years of follow-up by assessing the cumulative incidence of malignancy, torsion, cyst rupture and minor mass complications (inflammation, infection or adhesions) and the time to occurrence of an event. RESULTS A total of 2654 patients were recruited to the study. After application of exclusion criteria, 2039 patients with a newly detected mass were included for the model validation. Of those, 1684 (83%) masses were benign, 49 (2%) masses were malignant and, for 306 (15%) masses, the outcome was uncertain and therefore imputed. The AUC was 0.95 (95% CI, 0.89-0.98) for ADNEX without CA125 and 0.94 (95% CI, 0.88-0.97) for the two-step strategy. Calibration performance could not be meaningfully interpreted because the small number of malignancies resulted in very wide confidence intervals. The two-step strategy had better clinical utility than did the ADNEX model at malignancy risk thresholds < 3%. There were 1472 (72%) patients whose mass was judged to be benign based on pattern recognition by an experienced ultrasound examiner and were managed with clinical and ultrasound follow-up. In this group, the 5-year cumulative incidence was 66% (95% CI, 63-69%) for spontaneous resolution of the mass, 0% (95% CI, 0-0.2%) for torsion, 0.1% (95% CI, < 0.1-0.4%) for cyst rupture, 0.2% (95% CI, 0.1-0.6%) for a borderline tumor and 0.2% (95% CI, 0.1-0.6%) for invasive malignancy. CONCLUSIONS The ADNEX model and IOTA two-step strategy performed well to distinguish benign from malignant adnexal masses detected in a low-risk population. Conservative management is safe for masses with a benign ultrasound appearance in this population. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- M A Pascual
- Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, Barcelona, Spain
| | - L Vancraeynest
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
| | - S Timmerman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
| | - J Ceusters
- Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium
| | - A Ledger
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - B Graupera
- Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, Barcelona, Spain
| | - I Rodriguez
- Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, Barcelona, Spain
| | - B Valero
- Department of Obstetrics, Gynecology, and Reproduction, Hospital Universitari Dexeus, Barcelona, Spain
| | - C Landolfo
- Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK
| | - A C Testa
- Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCSS, Rome, Italy
| | - T Bourne
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Queen Charlotte's and Chelsea Hospital, Imperial College London, London, UK
| | - D Timmerman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
| | - L Valentin
- Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - B Van Calster
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - W Froyman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium
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Angioli R, Santonico M, Pennazza G, Montera R, Luvero D, Gatti A, Zompanti A, Finamore P, Incalzi RA. Use of Sensor Array Analysis to Detect Ovarian Cancer through Breath, Urine, and Blood: A Case-Control Study. Diagnostics (Basel) 2024; 14:561. [PMID: 38473033 DOI: 10.3390/diagnostics14050561] [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: 01/22/2024] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Ovarian cancer (OC) is the eighth most common cancer in women. Since screening programs do not exist, it is often diagnosed in advanced stages. Today, the detection of OC is based on clinical examination, transvaginal ultrasound (US), and serum biomarker (Carbohydrate Antigen 125 (CA 125) and Human Epididymis Protein 4 (HE4)) dosage, with a sensitivity of 88% and 95%, respectively, and a specificity of 84% for US and 76% for biomarkers. These methods are clearly not enough, and OC in its early stages is often missed. Many scientists have recently focused their attention on volatile organic compounds (VOCs). These are gaseous molecules, found in the breath, that could provide interesting information on several diseases, including solid tumors. To detect VOCs, an electronic nose was invented by a group of researchers. A similar device, the e-tongue, was later created to detect specific molecules in liquids. For the first time in the literature, we investigated the potential use of the electronic nose and the electronic tongue to detect ovarian cancer not just from breath but also from urine, blood, and plasma samples.
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Affiliation(s)
- Roberto Angioli
- Unit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Marco Santonico
- Unit of Electronics for Sensor Systems, Department of Science and Technology for Sustainable Development and One Health, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy
| | - Giorgio Pennazza
- Unit of Electronics for Sensor Systems, Department of Engineering, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy
| | - Roberto Montera
- Unit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Daniela Luvero
- Unit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Alessandra Gatti
- Unit of Gynecology, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Alessandro Zompanti
- Unit of Electronics for Sensor Systems, Department of Engineering, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 21, 00128 Rome, Italy
| | - Panaiotis Finamore
- Unit of Geriatrics, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Raffaele Antonelli Incalzi
- Unit of Geriatrics, University Campus Bio-Medico of Rome, Via Alvaro del Portillo 200, 00128 Rome, Italy
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14
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Mahale N, Kumar N, Mahale A, Ullal S, Fernandes M, Prabhu S. Validity of ultrasound with color Doppler to differentiate between benign and malignant ovarian tumours. Obstet Gynecol Sci 2024; 67:227-234. [PMID: 38374696 PMCID: PMC10948212 DOI: 10.5468/ogs.23072] [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: 02/26/2023] [Revised: 12/30/2023] [Accepted: 02/01/2024] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE To assess the utility of ultrasound and color Doppler and the Accuracy of International Ovarian Tumor Analysis (IOTA) group classification in the preoperative evaluation of ovarian neoplasms to assess benign or malignant histopathology in the diagnosis of ovarian tumors. METHODS This observational longitudinal prospective analysis of 60 patients was performed over a period of 2 years (2017- 2019). The mean age of the patients was 43.75 years. Ultrasonography of ovarian masses were evaluated, and cancer antigen-125 (CA-125) levels were evaluated. Based on the IOTA classification, the B and M features of adnexal masses were studied. Color Doppler imaging was performed to evaluate the patterns of vascularity and indices. RESULTS Sixty patients with 35 benign, 23 malignant, and two borderline lesions were included in the study. In malignant lesions, 17 women (73.9%) were above the age of 45. The CA-125 cut off was ≥35 internatioal units/mL. Based on the IOTA classification, 27/35 (77.1%) benign cases, were correctly identified as benign, 6/35 (17.1%) benign cases were incorrectly identified as malignant, and two (5.7%) were found to be inconclusive. In the malignant group, 17 of the 23 patients were identified as having malignancy. Color Doppler showed three (18.8%) benign tumors had a pulsatality index (PI) of <0.8 and 21 malignant tumors had a PI of <0.8. Four benign tumors had an resistive index (RI) of <0.6 and 100% of malignant tumors had an RI <0.6. CONCLUSION The IOTA classification is a reliable scoring system for adnexal masses, and color Doppler can help to minimize interobserver variation.
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Affiliation(s)
- Nina Mahale
- Department of Obstetrics and Gynecology, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
| | - Neeti Kumar
- Department of Obstetrics and Gynecology, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
| | - Ajit Mahale
- Department of Radiodiagnosis, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
| | - Sonali Ullal
- Department of Radiodiagnosis, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
| | - Merwyn Fernandes
- Department of Radiodiagnosis, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
| | - Sonali Prabhu
- Department of Radiodiagnosis, Kasturba Medical College Mangalore Manipal Academy of Higher Education, Manipal,
India
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15
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Barcroft JF, Linton-Reid K, Landolfo C, Al-Memar M, Parker N, Kyriacou C, Munaretto M, Fantauzzi M, Cooper N, Yazbek J, Bharwani N, Lee SR, Kim JH, Timmerman D, Posma J, Savelli L, Saso S, Aboagye EO, Bourne T. Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound. NPJ Precis Oncol 2024; 8:41. [PMID: 38378773 PMCID: PMC10879532 DOI: 10.1038/s41698-024-00527-8] [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: 05/23/2023] [Accepted: 01/30/2024] [Indexed: 02/22/2024] Open
Abstract
Ultrasound-based models exist to support the classification of adnexal masses but are subjective and rely upon ultrasound expertise. We aimed to develop an end-to-end machine learning (ML) model capable of automating the classification of adnexal masses. In this retrospective study, transvaginal ultrasound scan images with linked diagnoses (ultrasound subjective assessment or histology) were extracted and segmented from Imperial College Healthcare, UK (ICH development dataset; n = 577 masses; 1444 images) and Morgagni-Pierantoni Hospital, Italy (MPH external dataset; n = 184 masses; 476 images). A segmentation and classification model was developed using convolutional neural networks and traditional radiomics features. Dice surface coefficient (DICE) was used to measure segmentation performance and area under the ROC curve (AUC), F1-score and recall for classification performance. The ICH and MPH datasets had a median age of 45 (IQR 35-60) and 48 (IQR 38-57) years old and consisted of 23.1% and 31.5% malignant cases, respectively. The best segmentation model achieved a DICE score of 0.85 ± 0.01, 0.88 ± 0.01 and 0.85 ± 0.01 in the ICH training, ICH validation and MPH test sets. The best classification model achieved a recall of 1.00 and F1-score of 0.88 (AUC:0.93), 0.94 (AUC:0.89) and 0.83 (AUC:0.90) in the ICH training, ICH validation and MPH test sets, respectively. We have developed an end-to-end radiomics-based model capable of adnexal mass segmentation and classification, with a comparable predictive performance (AUC 0.90) to the published performance of expert subjective assessment (gold standard), and current risk models. Further prospective evaluation of the classification performance of this ML model against existing methods is required.
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Affiliation(s)
- Jennifer F Barcroft
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | | | - Chiara Landolfo
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Maya Al-Memar
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Nina Parker
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Chris Kyriacou
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Maria Munaretto
- Department of Obstetrics and Gynaecology, Ospedale Morgagni-Pierantoni, Forli, Italy
| | - Martina Fantauzzi
- Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy
| | - Nina Cooper
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Joseph Yazbek
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
| | - Nishat Bharwani
- Department of Radiology, Imperial College Healthcare NHS Trust, London, UK
| | - Sa Ra Lee
- Department of Obstetrics and Gynaecology, Asan Medical Center, Seoul, South Korea
| | - Ju Hee Kim
- Department of Obstetrics and Gynaecology, Asan Medical Center, Seoul, South Korea
| | - Dirk Timmerman
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Joram Posma
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Luca Savelli
- Department of Obstetrics and Gynaecology, Ospedale Morgagni-Pierantoni, Forli, Italy
| | - Srdjan Saso
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Eric O Aboagye
- Department of Surgery and Cancer, Imperial College London, London, UK.
| | - Tom Bourne
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Obstetrics and Gynaecology, Imperial College Healthcare NHS Trust, London, UK
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
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16
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Li Y, Shao G, Wu M, Zhang F, Zhang Y, Shao C. Evaluation of American College of Radiology Ovarian-Adnexal Reporting and Data System ultrasound to predict malignancy risk in adnexal lesions. J Obstet Gynaecol Res 2024; 50:225-232. [PMID: 37990446 DOI: 10.1111/jog.15831] [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: 07/13/2023] [Accepted: 11/07/2023] [Indexed: 11/23/2023]
Abstract
AIMS To validate the diagnostic performance of Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound for preoperative adnexal lesions in an external center. The secondary aim was to evaluate the performance of a strategy test including O-RADS ultrasound evaluation and subjective assessment of higher malignant risk lesions. METHODS One hundred thirty patients with 158 ovarian-adnexal lesions were enrolled in the study. Each lesion was assigned an O-RADS score after real-time ultrasound examination by one experienced radiologist. A second subjective assessment by an expert was performed for O-RADS 4 and O-RADS 5 lesions. The histopathological diagnosis was used as the reference standard. RESULTS A total of 126 benign and 32 malignant adnexal masses were included in the study. The area under the receiver operating characteristic curve of O-RADS ultrasound was 0.950, with a cutoff value > O-RADS 3. The sensitivity, specificity, and negative and positive predictive values were 100% (95% confidence interval [CI], 0.867-1), 83.3% (95% CI, 0.754-0.892), 60.4% (95% CI, 0.460-0.732), and 100% (95% CI, 0.956-1), respectively. For the strategy test, the sensitivity, specificity, negative and positive predictive values were 100% (95% CI, 0.867-1), 92.1% (95% CI, 0.855-0.959), 76.2% (95% CI, 0.602-0.874), and 100% (95% CI, 0.960-1), respectively. In comparison with O-RADS ultrasound, the specificity and negative predictive value of the strategy test were slightly higher (p < 0.05). CONCLUSIONS Good diagnostic performance of the O-RADS ultrasound in adnexal lesions can be achieved by experienced radiologists in clinical practice. A second subjective assessment of sonographic findings can be applied to O-RADS 4 and 5 lesions.
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Affiliation(s)
- Ya Li
- Department of Ultrasound, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Guangrui Shao
- Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Mei Wu
- Department of Ultrasound, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Feixue Zhang
- Department of Ultrasound, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuqing Zhang
- Department of Ultrasound, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Chunchun Shao
- Center of Evidence-Based Medicine, Institute of Medicine Science, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Dang Thi Minh N, Nguyen Van T, Duong Duc H, Nguyen Tuan M, Duong Thi Tra G, Do Tuan D, Nguyen Tai D. IOTA simple rules: An efficient tool for evaluation of ovarian tumors by non-experienced but trained examiners - A prospective study. Heliyon 2024; 10:e24262. [PMID: 38293393 PMCID: PMC10827489 DOI: 10.1016/j.heliyon.2024.e24262] [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: 07/31/2023] [Revised: 11/03/2023] [Accepted: 01/05/2024] [Indexed: 02/01/2024] Open
Abstract
Objectives A simple and efficient tool for evaluating ovarian tumors in general hospitals where radiologists without experience in gynecological ultrasound is necessary. This study aims to evaluate the diagnostic performance of IOTA simple rules in initial classification of ovarian tumors by non-experienced examiners who have received simple training. Materials and method A prospective single-center study was conducted at Hanoi Obstetrics and Gynecology Hospital. Three resident gynecologists trained themselves for two weeks and then received hands-on practice under the supervision of experts for another two weeks. The examiners performed ultrasound on 424 eligible women scheduled for surgery for ovarian tumors and classified the tumors based on IOTA simple rules. The postoperative pathology of ovarian tumors was used as the gold standard. Results 90.8 % (385/424) of the tumors were benign. Simple rules were applicable in 399/424 (94.1 %) tumors, with a sensitivity of 84.8 % (95 % CI, 70.2-94.3), specificity of 98.9 % (95 % CI, 97.5-99.7), positive predictive value of 87.5 % (95 % CI, 73.3-95.9), and negative predictive value of 98.6 % (95 % CI, 97.1-99.5). The sensitivity of IOTA simple rules was higher in postmenopausal women (91.7 % vs. 81.0 %), while the specificity was higher in premenopausal women (99.4 % vs. 95.8 %). Accuracy was 100 % in all ten pregnant women were assessed using these rules. Conclusion In conclusion, in the hands of non-expert examiners who were trained thoroughly, IOTA simple rules are a simple and efficient tool for clinical practice in centers where expert radiologists in gynecology are not always available. The training program is simple and could be applied widely in other clinical centers. Further studies are necessary to evaluate the effectiveness of the IOTA simple rules in assessing ovarian tumors among pregnant women.
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Affiliation(s)
- Nguyet Dang Thi Minh
- Department of Obstetrics and Gynecology, Hanoi Medical University, 1 Ton That Tung Street, Dong Da District, Hanoi, 100000, Viet Nam
| | - Thi Nguyen Van
- Department of Quan Su Radiology, K Hospital 43 Quan su Street, Hoan Kiem district, Hanoi, 100000, Viet Nam
| | - Huu Duong Duc
- Department of Quan Su Radiology, K Hospital 43 Quan su Street, Hoan Kiem district, Hanoi, 100000, Viet Nam
| | - Minh Nguyen Tuan
- Department of Obstetrics and Gynecology, Hanoi Medical University, 1 Ton That Tung Street, Dong Da District, Hanoi, 100000, Viet Nam
| | - Giang Duong Thi Tra
- Department of Delivery, Hanoi Obstetrics and Gynecology Hospital, 929 La Thanh Street, Ba Dinh district, Hanoi, 100000, Viet Nam
| | - Dat Do Tuan
- Department of Obstetrics and Gynecology, Hanoi Medical University, 1 Ton That Tung Street, Dong Da District, Hanoi, 100000, Viet Nam
| | - Duc Nguyen Tai
- Prenatal screening and diagnostic center, Hanoi Obstetrics and Gynecology Hospital, 929 La Thanh Street, Ba Dinh district, Hanoi, 100000, Viet Nam
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Ruan L, Liu H, Xiang H, Ni Y, Feng Y, Zhou H, Qi M. Application of O-RADS US combined with MV-Flow to diagnose ovarian-adnexal tumors. Ultrasonography 2024; 43:15-24. [PMID: 38061878 PMCID: PMC10766884 DOI: 10.14366/usg.23061] [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: 04/01/2023] [Revised: 08/14/2023] [Accepted: 08/25/2023] [Indexed: 01/06/2024] Open
Abstract
PURPOSE This study aimed to explore the application of Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) combined with MV-Flow (Samsung Medison Co., Ltd.) to diagnose ovarian-adnexal masses. METHODS A total of 112 ovarian-adnexal masses (81 benign and 31 malignant) from 105 consecutive patients were analyzed. The O-RADS US and vascular index from MV-Flow (VIMV) were measured and compared with the reference standard. O-RADS US and MV-Flow were tested for consistency. RESULTS Receiver operating characteristic curves were drawn for O-RADS US, MV-Flow, and their combination. The combined methods had the largest area under the curve (0.955), followed by O-RADS US (0.929) and MV-Flow (0.923). A mass was considered malignant when the O-RADS US classification was 5 and VIMV was ≥7.15. With this definition, MV-Flow had the highest sensitivity (87.10%), with consistent findings for the combined diagnostic methods and O-RADS US (83.87%). The specificity of the combined diagnostic methods (93.83%) was higher than that of MV-Flow (91.36%). O-RADS US had the lowest specificity (90.12%). The combined diagnostic methods had the highest coincidence rate (91.07%), and MV-Flow (90.18%) had a significantly higher coincidence rate than O-RADS US (88.39%). Both O-RADS US and MV-Flow showed good consistency among different physicians (former kappa, 0.974; latter intraclass correlation coefficient [ICC], 0.986). MV-Flow had a high consistency for the same physician (ICC, 1). CONCLUSION O-RADS US and MV-Flow exhibited good diagnostic efficacy, and their combined diagnostic efficacy was higher than that of each individually. O-RADS US and MV-Flow can improve the diagnosis of benign and malignant ovarian-adnexal masses.
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Affiliation(s)
- Linlin Ruan
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
| | - Hui Liu
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
| | - Hong Xiang
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
| | - Yongkang Ni
- School of Public Health, Xinjiang Medical University, Urumqi, China
| | - Yuling Feng
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
| | - Huili Zhou
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
| | - Mengtong Qi
- Obstetrics and Gynecology Ultrasound Department, First Affiliated Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Ultrasound Medicine, Urumqi, China
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Shetty M. Imaging of a Pelvic Mass: Uterine. Semin Ultrasound CT MR 2023; 44:528-540. [PMID: 37839652 DOI: 10.1053/j.sult.2023.10.005] [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: 10/17/2023]
Abstract
The most common origin of a non-uterine pelvic mass is from the ovary. Ultrasound is the initial imaging modality of choice, additional imaging with computed tomography (CT) and/or magnetic resonance imaging (MRI) is performed in selected cases. Adnexal masses are also encountered as incidental findings during ultrasound, CT or MRI. Many of the adnexal masses that are surgically removed are benign. For optimal outcome and cost effective management, noninvasive risk stratification of such adnexal masses is necessary when discovered incidentally or when identified in a patient with a clinically detected pelvic mass. The American College of Radiology Ovarian-Adnexal Reporting Data System is a pattern-based scoring system for adnexal masses imaged with ultrasound and MRI, which assists clinicians to guide in the appropriate management based on evidence-based risk categories. Non-ovarian and non-uterine pelvic masses include fallopian tube abnormalities, paraovarian cysts, peritoneal inclusion cysts, and rare causes include masses that arise from the gastrointestinal tract or the sacrum. To distinguish non-ovarian masses from an ovarian tumor, a critical step is to identify a normal appearing ovary separate from the pelvic mass. This may be challenging in the post-menopausal woman with an atrophic ovary. MRI is a useful adjunctive modality in such cases. Extraovarian masses typically displace pelvic side wall vasculature medially, compress, encase or medially displace the ureters.
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Affiliation(s)
- Mahesh Shetty
- Department of Radiology, Baylor College of Medicine Houston, Houston, TX.
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20
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Lems E, Leemans JC, Lok CAR, Bongers MY, Geomini PMAJ. Current uptake and barriers to wider use of the International Ovarian Tumor Analysis (IOTA) models in Dutch gynaecological practice. Eur J Obstet Gynecol Reprod Biol 2023; 291:240-246. [PMID: 37939622 DOI: 10.1016/j.ejogrb.2023.09.018] [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: 05/12/2023] [Revised: 09/05/2023] [Accepted: 09/21/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Correct referral of women with an ovarian tumor to an oncology department remains challenging. The International Ovarian Tumor Analysis (IOTA) consortium has developed models with higher diagnostic accuracy than the alternative Risk of Malignancy Index (RMI). This study explores the uptake of the IOTA models in Dutch hospitals and factors that impede or promote implementation. Optimal implementation is crucial to improve pre-operative classification of ovarian tumors, which may lead to better patient referral to the appropriate level of care. STUDY DESIGN In February 2021, an electronic questionnaire consisting of 37 questions was sent to all 72 hospitals in the Netherlands. One pre-selected gynaecologist per hospital was asked to respond on behalf of the department. RESULTS The study had a response rate of 93% (67/72 hospitals). All respondents (100%) were familiar with the IOTA models with 94% using them in practice. The logistic regression 2 (LR2)-model, Simple ultrasound-based rules (SR) and Assessment of Different NEoplasias in the adneXa (ADNEX) model were used in respectively 40%, 67% and 73% of these hospitals. Respondents rated the models overall with an 8.2 (SD 1.8), 8.3 (SD 1.6) and 8.9 (SD 1.3) respectively for LR2, SR and ADNEX on a scale from 1 to 10. Moreover, 89% indicated to have confidence in the results of the IOTA models. The most important factors to improve further implementation are more training (43%), research on sensitivity, specificity and cost-effectiveness in the Dutch health care system (27%), easier usability (24%) and more consultation time (19%). CONCLUSION The IOTA ultrasound models are adopted in the majority of Dutch hospitals with the ADNEX model being used the most. While Dutch gynecologists have a strong familiarity and confidence in the models, the uptake varies in reality. Areas that warrant improvement in the Dutch context are more uniformity, education and more research. These findings can be helpful for other countries considering adopting the IOTA models.
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Affiliation(s)
- E Lems
- Máxima Medical Centre in Veldhoven, De Run 4600, 5504 DB Veldhoven, the Netherlands; Maastricht University Medical Centre and Research School Grow, Maastricht, P. Debyelaan 25, 6229 HX, the Netherlands.
| | - J C Leemans
- Máxima Medical Centre in Veldhoven, De Run 4600, 5504 DB Veldhoven, the Netherlands
| | - C A R Lok
- Department of Gynaecologic Oncology, Centre for Gynaecologic Oncology Amsterdam, the Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - M Y Bongers
- Máxima Medical Centre in Veldhoven, De Run 4600, 5504 DB Veldhoven, the Netherlands; Maastricht University Medical Centre and Research School Grow, Maastricht, P. Debyelaan 25, 6229 HX, the Netherlands
| | - P M A J Geomini
- Máxima Medical Centre in Veldhoven, De Run 4600, 5504 DB Veldhoven, the Netherlands
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21
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Zhou S, Guo Y, Wen L, Liu J, Fu Y, Xu F, Liu M, Zhao B. Comparison of the diagnostic efficiency between the O-RADS US risk stratification system and doctors' subjective judgment. BMC Med Imaging 2023; 23:190. [PMID: 37986051 PMCID: PMC10662783 DOI: 10.1186/s12880-023-01153-9] [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: 11/30/2022] [Accepted: 11/13/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND This study aimed to compare the diagnostic efficiency of Ovarian-Adnexal Reporting and Data System (O-RADS) and doctors' subjective judgment in diagnosing the malignancy risk of adnexal masses. METHODS This was an analysis of 616 adnexal masses between 2017 and 2020. The clinical findings, preoperative ultrasound images, and pathological diagnosis were recorded. Each adnexal mass was evaluated by doctors' subjective judgment and O-RADS by two senior doctors and two junior doctors. A mass with an O-RADS grade of 1 to 3 was a benign tumor, and a mass with an O-RADS grade of 4-5 was a malignant tumor. All outcomes were compared with the pathological diagnosis. RESULTS Of the 616 adnexal masses, 469 (76.1%) were benign, and 147 (23.9%) were malignant. There was no difference between the area under the curve of O-RADS and the subjective judgment for junior doctors (0.83 (95% CI: 0.79-0.87) vs. 0.79 (95% CI: 0.76-0.83), p = 0.0888). The areas under the curve of O-RADS and subjective judgment were equal for senior doctors (0.86 (95% CI: 0.83-0.89) vs. 0.86 (95% CI: 0.83-0.90), p = 0.8904). O-RADS had much higher sensitivity than the subjective judgment in detecting malignant tumors for junior doctors (84.4% vs. 70.1%) and senior doctors (91.2% vs. 81.0%). In the subgroup analysis for detecting the main benign lesions of the mature cystic teratoma and ovarian endometriosic cyst, the junior doctors' diagnostic accuracy was obviously worse than the senior doctors' on using O-RADS. CONCLUSIONS O-RADS had excellent performance in predicting malignant adnexal masses. It could compensate for the lack of experience of junior doctors to a certain extent. Better performance in discriminating various benign lesions should be expected with some complement.
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Affiliation(s)
- Shan Zhou
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
- Health Management Center, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Yuyang Guo
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Lieming Wen
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Jieyu Liu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Yaqian Fu
- Health Management Center, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Fang Xu
- Department of Ultrasonography, The First Hospital of Changsha, No.311, Yingpan Road, Changsha, 410005, Hunan, China
| | - Minghui Liu
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Baihua Zhao
- Department of Ultrasound Diagnosis, The Second Xiangya Hospital, Central South University, No.139, Renmin Middle Road, Changsha, 410011, Hunan, China.
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22
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Jost E, Kosian P, Jimenez Cruz J, Albarqouni S, Gembruch U, Strizek B, Recker F. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology. J Clin Med 2023; 12:6833. [PMID: 37959298 PMCID: PMC10649694 DOI: 10.3390/jcm12216833] [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: 09/21/2023] [Revised: 10/17/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Artificial intelligence (AI) has gained prominence in medical imaging, particularly in obstetrics and gynecology (OB/GYN), where ultrasound (US) is the preferred method. It is considered cost effective and easily accessible but is time consuming and hindered by the need for specialized training. To overcome these limitations, AI models have been proposed for automated plane acquisition, anatomical measurements, and pathology detection. This study aims to overview recent literature on AI applications in OB/GYN US imaging, highlighting their benefits and limitations. For the methodology, a systematic literature search was performed in the PubMed and Cochrane Library databases. Matching abstracts were screened based on the PICOS (Participants, Intervention or Exposure, Comparison, Outcome, Study type) scheme. Articles with full text copies were distributed to the sections of OB/GYN and their research topics. As a result, this review includes 189 articles published from 1994 to 2023. Among these, 148 focus on obstetrics and 41 on gynecology. AI-assisted US applications span fetal biometry, echocardiography, or neurosonography, as well as the identification of adnexal and breast masses, and assessment of the endometrium and pelvic floor. To conclude, the applications for AI-assisted US in OB/GYN are abundant, especially in the subspecialty of obstetrics. However, while most studies focus on common application fields such as fetal biometry, this review outlines emerging and still experimental fields to promote further research.
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Affiliation(s)
- Elena Jost
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Philipp Kosian
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Jorge Jimenez Cruz
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Shadi Albarqouni
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
- Helmholtz AI, Helmholtz Munich, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | - Ulrich Gembruch
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Brigitte Strizek
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
| | - Florian Recker
- Department of Obstetrics and Gynecology, University Hospital Bonn, Venusberg Campus 1, 53127 Bonn, Germany
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Brincat MR, Mira AR, Lawrence A. Current and Emerging Strategies for Tubo-Ovarian Cancer Diagnostics. Diagnostics (Basel) 2023; 13:3331. [PMID: 37958227 PMCID: PMC10647517 DOI: 10.3390/diagnostics13213331] [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: 09/04/2023] [Revised: 10/22/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Tubo-ovarian cancer is the most lethal gynaecological cancer. More than 75% of patients are diagnosed at an advanced stage, which is associated with poorer overall survival. Symptoms at presentation are vague and non-specific, contributing to late diagnosis. Multimodal risk models have improved the diagnostic accuracy of adnexal mass assessment based on patient risk factors, coupled with findings on imaging and serum-based biomarker tests. Newly developed ultrasonographic assessment algorithms have standardised documentation and enable stratification of care between local hospitals and cancer centres. So far, no screening test has proven to reduce ovarian cancer mortality in the general population. This review is an update on the evidence behind ovarian cancer diagnostic strategies.
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Affiliation(s)
- Mark R. Brincat
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
| | - Ana Rita Mira
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
- Hospital Garcia de Orta, 2805-267 Almada, Portugal
| | - Alexandra Lawrence
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
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Spagnol G, Marchetti M, De Tommasi O, Vitagliano A, Cavallin F, Tozzi R, Saccardi C, Noventa M. Simple rules, O-RADS, ADNEX and SRR model: Single oncologic center validation of diagnostic predictive models alone and combined (two-step strategy) to estimate the risk of malignancy in adnexal masses and ovarian tumors. Gynecol Oncol 2023; 177:109-116. [PMID: 37660412 DOI: 10.1016/j.ygyno.2023.08.012] [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: 06/16/2023] [Revised: 08/02/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023]
Abstract
OBJECTIVE To compare performance of Assessment of Different NEoplasias in the adneXa (ADNEX model), Ovarian-Adnexal Reporting and Data System (O-RADS), Simple Rules Risk (SRR) assessment and the two-step strategy based on the application of Simple Rules (SR) followed by SRR and SR followed by ADNEX in the pre-operative discrimination between benign and malignant adnexal masses (AMs). METHODS We conducted a retrospective study from January-2018 to December-2021 in which consecutive patients with at AMs were recruited. Accuracy metrics included sensitivity (SE) and specificity (SP) with their 95% confidence intervals (CI) were calculated for ADNEX, O-RADS and SRR. When SR was inconclusive a "two-step strategy" was adopted applying SR + ADNEX model and SR + SRR assessment. RESULTS A total of 514 women were included, 400 (77.8%) had a benign ovarian tumor and 114 (22.2%) had a malignant tumor. At a threshold malignancy risk of >10%, the SE and SP of ADNEX model, O-RADS and SRR were: 0.92 (95% CI, 0.86-0.96) and 0.88 (95% CI, 0.85-0.91); 0.93 (95% CI, 0.87-0.97) and 0.89 (95% CI, 0.96-0.92); 0.88 (95% CI, 0.80-0.93) and 0.84 (95% CI, 0.80-0.87), respectively. When we applied SR, 109 (21.2%) cases resulted inconclusive. The SE and SP of two-step strategy SR + SRR assessment and SR + ADNEX model were 0.88 (95% CI, 0.80-0.93) and 0.92 (95% CI, 0.89-0.94), SR + ADNEX model 0.90 (95% CI, 0.83-0.95) and 0.93 (95% CI, 0.90-0.96), respectively. CONCLUSIONS O-RADS presented the highest SE, similar to ADNEX model and SR + ADNEX model. However, the SR + ADNEX model presented the higher performance accuracy with the higher SP and PPV. This two-step strategy, SR and ADNEX model applicated to inconclusive SR, is convenient for clinical evaluation.
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Affiliation(s)
- Giulia Spagnol
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy
| | - Matteo Marchetti
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy
| | - Orazio De Tommasi
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy
| | - Amerigo Vitagliano
- Department of Biomedical and Human Oncological Science (DIMO), 1st Unit of Obstetrics and Gynecology, University of Bari, Policlinico, Bari, Italy
| | - Francesco Cavallin
- Independent Statistician (collaboration with University of Padua), Solagna, Italy
| | - Roberto Tozzi
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy
| | - Carlo Saccardi
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy
| | - Marco Noventa
- Department of Women and Children's Health, Unit of Gynecology and Obstetrics, University of Padua, Padua, Italy.
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Yang Y, Wang H, Liu Z, Su N, Gao L, Tao X, Zhang R, Gu Y, Ma L, Wang R, Xu W, Xie Y, Zhang W, Zhang H, Xue G, Ru T, Dai Q, Li J, Jiang Y. Effect of differences in O-RADS lexicon interpretation between senior and junior sonologists on O-RADS classification and diagnostic performance. J Cancer Res Clin Oncol 2023; 149:12275-12283. [PMID: 37430161 PMCID: PMC10465637 DOI: 10.1007/s00432-023-05108-z] [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: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/12/2023]
Abstract
PURPOSE To assess the consistency of Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon interpretation between senior and junior sonologists and to investigate its impact on O-RADS classification and diagnostic performance. METHODS We prospectively studied 620 patients with adnexal lesions, all of whom underwent transvaginal or transrectal ultrasound performed by a senior sonologist (R1) who selected the O-RADS lexicon description and O-RADS category for the lesion after the examination. Meanwhile, the junior sonologist (R2) analyzed the images retained by R1 and divided the lesion in the same way. Pathological findings were used as a reference standard. kappa (к) statistics were used to assess the interobserver agreement. RESULTS Of the 620 adnexal lesions, 532 were benign and 88 were malignant. When using the O-RADS lexicon, R1 and R2 had almost perfect agreement regarding lesion category, external contour of solid lesions, presence of papillary inside cystic lesions, and fluid echogenicity (к: 0.81-1.00). Substantial agreement in solid components, acoustic shadow, vascularity and O-RADS categories (к: 0.61-0.80). Consistency in classifying classic benign lesions in the O-RADS category was only moderate (к = 0.535). No significant difference in diagnostic performance between them using O-RADS (P = 0.1211). CONCLUSION There was good agreement between senior and junior sonologists in the interpretation of the O-RADS lexicon and in the classification of O-RADS, except for a moderate agreement in the interpretation and classification of classic benign lesions. Differences in O-RADS category delineation between sonologists had no significant effect on the diagnostic performance of O-RADS.
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Affiliation(s)
- Ya Yang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Hongyan Wang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Zhenzhen Liu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Na Su
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Luying Gao
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Xixi Tao
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Rui Zhang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Yang Gu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Li Ma
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Ruojiao Wang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Wen Xu
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Yuhuan Xie
- Department of Ultrasound, Dongguan People’s Hospital Affiliated to Southern Medical University, Dongguan, China
| | - Wenjun Zhang
- Department of Ultrasound, Taihe Hospital, the Affiliated to Hubei University of Medicine, Shiyan, China
| | - Heng Zhang
- Department of Ultrasound, Zhuhai People’s Hospital, Zhuhai, China
| | - Gaiqin Xue
- Department of Ultrasound, Shanxi Provincial Cancer Hospital, Shanxi, China
| | - Tong Ru
- Prenatal Diagnosis Center, Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - Qing Dai
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Jianchu Li
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
| | - Yuxin Jiang
- Department of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuai Fu Yuan, Dong Cheng District, Beijing, 100730 China
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Shang J, Lei T, Wu L, Lin M, Xie H. Comparison of performance between O-RADS, IOTA simple rules risk assessment and ADNEX model in the discrimination of ovarian Brenner tumors. Arch Gynecol Obstet 2023; 308:961-970. [PMID: 37186266 DOI: 10.1007/s00404-022-06903-8] [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: 10/13/2022] [Accepted: 12/20/2022] [Indexed: 05/17/2023]
Abstract
PURPOSE To describe the clinical and sonographic features of ovarian benign Brenner tumor (BBT) and malignant Brenner tumor (MBT), and to compare performance of four diagnostic models in differentiating them. METHODS Fifteen patients with BBTs and nine patients with MBTs were retrospectively identified in our institution from January 2003 and December 2021. One ultrasound examiner categorized each mass according to ovarian-adnexal reporting and data system (O-RADS), international ovarian tumor analysis (IOTA) Simple Rules Risk (SR-Risk) assessment and assessment of different neoplasias in the adnexa (ADNEX) models with/without CA125. Receiver operating characteristic curves were generated to compare diagnostic performance. RESULTS Patients with MBT had higher CA125 serum level (62.5% vs. 6.7%, P = 0.009) and larger maximum diameter of lesion (89 mm vs. 43 mm, P = 0.009) than did those with BBT. BBT tended to have higher prevalence of calcifications (100% vs. 55.6%, P = 0.012) and acoustic shadowing (93.3% vs. 33.3%, P = 0.004), and lower color scores manifesting none or minimal flow (100.0% vs. 22.2%, P < 0.001). Areas under curves of O-RADS, IOTA SR-Risk and ADNEX models with/without CA125 were 0.896, 0.913, 0.892 and 0.896, respectively. There were no significant differences between them. CONCLUSION BBTs are often small solid tumors with sparse color Doppler signals, which contain calcifications with posterior acoustic shadowing. The most common pattern of MBT is a large multilocular-solid or solid mass with irregular tumor borders, and most were moderately or richly vascularized at color Doppler. These four models have excellent performance in distinguishing them.
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Affiliation(s)
- JianHong Shang
- Department of Ultrasonic Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan Er Road 58#, Guangzhou, 510080, Guangdong, China
| | - Ting Lei
- Department of Ultrasonic Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan Er Road 58#, Guangzhou, 510080, Guangdong, China
| | - LiHong Wu
- Department of Ultrasonic Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan Er Road 58#, Guangzhou, 510080, Guangdong, China
| | - MeiFang Lin
- Department of Ultrasonic Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan Er Road 58#, Guangzhou, 510080, Guangdong, China
| | - HongNing Xie
- Department of Ultrasonic Medicine, First Affiliated Hospital of Sun Yat-Sen University, Zhongshan Er Road 58#, Guangzhou, 510080, Guangdong, China.
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Bruno M, Capanna G, Di Florio C, Sollima L, Guido M, Ludovisi M. Sonographic characteristics of ovarian Leydig cell tumor. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2023; 62:441-442. [PMID: 37021749 DOI: 10.1002/uog.26212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/10/2023] [Accepted: 03/28/2023] [Indexed: 06/19/2023]
Affiliation(s)
- M Bruno
- Department of Obstetrics and Gynecology, San Salvatore Hospital, L'Aquila, Italy
| | - G Capanna
- Department of Clinical Medicine, Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - C Di Florio
- Department of Obstetrics and Gynecology, San Salvatore Hospital, L'Aquila, Italy
| | - L Sollima
- Pathology Unit, Biomedical Department, San Salvatore Hospital, University of L'Aquila, L'Aquila, Italy
| | - M Guido
- Department of Clinical Medicine, Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
| | - M Ludovisi
- Department of Clinical Medicine, Life Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy
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Pelayo M, Sancho-Sauco J, Sánchez-Zurdo J, Perez-Mies B, Abarca-Martínez L, Cancelo-Hidalgo MJ, Sainz-Bueno JA, Alcázar JL, Pelayo-Delgado I. Application of Ultrasound Scores (Subjective Assessment, Simple Rules Risk Assessment, ADNEX Model, O-RADS) to Adnexal Masses of Difficult Classification. Diagnostics (Basel) 2023; 13:2785. [PMID: 37685323 PMCID: PMC10486436 DOI: 10.3390/diagnostics13172785] [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: 07/22/2023] [Revised: 08/11/2023] [Accepted: 08/23/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Ultrasound features help to differentiate benign from malignant masses, and some of them are included in the ultrasound (US) scores. The main aim of this work is to describe the ultrasound features of certain adnexal masses of difficult classification and to analyse them according to the most frequently used US scores. METHODS Retrospective studies of adnexal lesions are difficult to classify by US scores in women undergoing surgery. Ultrasound characteristics were analysed, and masses were classified according to the Subjective Assessment of the ultrasonographer (SA) and other US scores (IOTA Simple Rules Risk Assessment-SRRA, ADNEX model with and without CA125 and O-RADS). RESULTS A total of 133 adnexal masses were studied (benign: 66.2%, n:88; malignant: 33.8%, n:45) in a sample of women with mean age 56.5 ± 7.8 years. Malignant lesions were identified by SA in all cases. Borderline ovarian tumors (n:13) were not always detected by some US scores (SRRA: 76.9%, ADNEX model without and with CA125: 76.9% and 84.6%) nor were serous carcinoma (n:19) (SRRA: 89.5%), clear cell carcinoma (n:9) (SRRA: 66.7%) or endometrioid carcinoma (n:4) (ADNEX model without CA125: 75.0%). While most teratomas and serous cystadenomas have been correctly differentiated, other benign lesions were misclassified because of the presence of solid areas or papillae. Fibromas (n:13) were better identified by SA (23.1% malignancy), but worse with the other US scores (SRRA: 69.2%, ADNEX model without and with CA125: 84.6% and 69.2%, O-RADS: 53.8%). Cystoadenofibromas (n:10) were difficult to distinguish from malignant masses via all scores except SRRA (SA: 70.0%, SRRA: 20.0%, ADNEX model without and with CA125: 60.0% and 50.0%, O-RADS: 90.0%). Mucinous cystadenomas (n:12) were misdiagnosed as malignant in more than 15% of the cases in all US scores (SA: 33.3%, SRRA: 16.7%, ADNEX model without and with CA125: 16.7% and 16.7%, O-RADS:41.7%). Brenner tumors are also difficult to classify using all scores. CONCLUSION Some malignant masses (borderline ovarian tumors, serous carcinoma, clear cell carcinoma, endometrioid carcinomas) are not always detected by US scores. Fibromas, cystoadenofibromas, some mucinous cystadenomas and Brenner tumors may present solid components/papillae that may induce confusion with malignant lesions. Most teratomas and serous cystadenomas are usually correctly classified.
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Affiliation(s)
- Mar Pelayo
- Universitary Hospital HM Puerta del Sur, HM Rivas, 3428521 Madrid, Spain;
| | - Javier Sancho-Sauco
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain; (J.S.-S.); (L.A.-M.)
| | | | - Belén Perez-Mies
- Department of Pathology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain;
| | - Leopoldo Abarca-Martínez
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain; (J.S.-S.); (L.A.-M.)
| | - Mª Jesús Cancelo-Hidalgo
- Department of Obstetrics and Gynecology, Universitary Hospital of Guadalajara, Alcalá de Henares University, 3428034 Madrid, Spain;
| | | | - Juan Luis Alcázar
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, 3431008 Pamplona, Spain;
| | - Irene Pelayo-Delgado
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain; (J.S.-S.); (L.A.-M.)
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Liu D, Lyu G, Lai H, Li L, Gan Y, Yang S. Can the ultrasound microcystic pattern accurately predict borderline ovarian tumors? J Ovarian Res 2023; 16:162. [PMID: 37563718 PMCID: PMC10416400 DOI: 10.1186/s13048-023-01253-8] [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: 01/26/2023] [Accepted: 08/04/2023] [Indexed: 08/12/2023] Open
Abstract
OBJECTIVE To investigate whether the ultrasound microcystic pattern (MCP) can accurately predict borderline ovarian tumors (BOTs). METHODS A retrospective collection of 393 patients who met the inclusion criteria was used as the study population. Indicators that could well identify BOT in different pathological types of tumors were derived by multivariate unordered logistic regression analysis. Finally, the correlation between ultrasound MCP and pathological features was analyzed. RESULTS (1) MCP was present in 55 of 393 ovarian tumors, including 34 BOTs (34/68, 50.0%), 16 malignant tumors (16/88, 18.2%), and 5 benign tumors (5/237, 2.1%). (2) Univariate screening showed significant differences (P < 0.05) in patient age, CA-125 level, ascites, > 10 cyst locules, a solid component, blood flow, and MCP among BOTs, benign ovarian tumors, and malignant ovarian tumors. (3) Multivariate unordered logistic regression analysis showed that the blood flow, > 10 cyst locules, and MCP were significant factors in identifying BOTs (P < 0.05). (4) The pathology of ovarian tumors with MCP showed "bubble"- or "fork"- like loose tissue structures. CONCLUSION MCP can be observed in different pathological types of ovarian tumors and can be used as a novel sonographic marker to differentiate between BOTs, benign tumors and malignant tumors. MCP may arise as a result of anechoic cystic fluid filling the loose tissue gap.
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Affiliation(s)
- Danyi Liu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
- Department of Ultrasound, Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, No.2, Anji Road, Quanzhou, Fujian, China.
| | - Hongwei Lai
- Department of Ultrasound, Fujian Provincial Maternity and Children's Hospital, Fuzhou, Fujian, China
| | - Liya Li
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Yaduan Gan
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
| | - Shuping Yang
- Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
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Roseland ME, Maturen KE, Shampain KL, Wasnik AP, Stein EB. Adnexal Mass Imaging: Contemporary Guidelines for Clinical Practice. Radiol Clin North Am 2023; 61:671-685. [PMID: 37169431 DOI: 10.1016/j.rcl.2023.02.002] [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: 05/13/2023]
Abstract
Several recent guidelines have been published to improve accuracy and consistency of adnexal mass imaging interpretation and to guide management. Guidance from the American College of Radiology (ACR) Appropriateness Criteria establishes preferred adnexal imaging modalities and follow-up. Moreover, the ACR Ovarian-Adnexal Reporting Data System establishes a comprehensive, unified set of evidence-based guidelines for classification of adnexal masses by both ultrasound and MR imaging, communicating risk of malignancy to further guide management.
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Affiliation(s)
- Molly E Roseland
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA.
| | - Katherine E Maturen
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Kimberly L Shampain
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Ashish P Wasnik
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Erica B Stein
- Michigan Medicine, University of Michigan, University Hospital B1D502D, 1500 East Medical Center Dr., Ann Arbor, MI 48109, USA
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Lupinelli M, Sbarra M, Kilcoyne A, Venkatesan AM, Nougaret S. MR Imaging of Gynecologic Tumors: Pearls, Pitfalls, and Tumor Mimics. Radiol Clin North Am 2023; 61:687-711. [PMID: 37169432 DOI: 10.1016/j.rcl.2023.02.011] [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: 05/13/2023]
Abstract
MR imaging is the modality of choice for the pre-treatment evaluation of patients with gynecologic malignancies, given its excellent soft tissue contrast and multi-planar capability. However, it is not without pitfalls. Challenges can be encountered in the assessment of the infiltration of myometrium, vagina, cervical stroma, and parametria, which are crucial prognostic factors for endometrial and cervical cancers. Other challenges can be encountered in the distinction between solid and non-solid tissue and in the identification of peritoneal carcinomatosis for the sonographically indeterminate adnexal mass.
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Affiliation(s)
- Michela Lupinelli
- Department of Radiology, Morgagni-Pierantoni Hospital, Via Carlo Forlanini 34, 47121, Forlì, Italy.
| | - Martina Sbarra
- Unit of Diagnostic Imaging, Fondazione Policlinico Universitario Campus Bio-medico, Via Alvaro Del Portillo, 200, Roma 00128, Italy
| | - Aoife Kilcoyne
- Department of Radiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02114, USA; Harvard Medical School, Boston, MA, USA
| | - Aradhana M Venkatesan
- Department of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA
| | - Stephanie Nougaret
- Department of Radiology, IRCM, Montpellier Cancer Research Institute, Montpellier 34090, France; INSERM, U1194, University of Montpellier, Montpellier 34295, France
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Pelayo M, Sancho-Sauco J, Sanchez-Zurdo J, Abarca-Martinez L, Borrero-Gonzalez C, Sainz-Bueno JA, Alcazar JL, Pelayo-Delgado I. Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses. Diagnostics (Basel) 2023; 13:2152. [PMID: 37443546 DOI: 10.3390/diagnostics13132152] [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: 04/19/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated with malignancy influencing ultrasound scores. METHODS This is a retrospective analysis of ultrasound features of adnexal lesions of women managed surgically. Ultrasound characteristics were analyzed, and masses were classified by subjective assessment of the ultrasonographer (SA) and other ultrasound scores (IOTA Simple Rules Risk Assessment SRRA, ADNEX model, and O-RADS). RESULTS Of a total of 187 adnexal masses studied, 134 were benign (71.7%) and 53 were malignant (28.3%). SA, IOTA SRRA, ADNEX model with or without CA125 and O-RADS had high levels of sensitivity (93.9%, 81.1%, 94.3%, 88.7%, 98.1%) but lower specificity (80.2%, 82.1%, 82.8%, 77.6%, 73.1%) with similar AUC (0.87, 0.87, 0.92, 0.90, 0.86). Ultrasound features significantly related with malignancy were the presence of irregular contour, absence of acoustic shadowing, vascularized solid areas, ≥1 papillae, vascularized septum, and moderate-severe ascites. CONCLUSION IOTA SRRA, ADNEX model, and O-RADS can help in the classification of benign and malignant masses. Certain ultrasound characteristics studied in ultrasound scores are associated with malignancy.
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Affiliation(s)
- Mar Pelayo
- HM Puerta del Sur, HM Rivas Hospital, 3428521 Madrid, Spain
| | - Javier Sancho-Sauco
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain
| | | | - Leopoldo Abarca-Martinez
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain
| | | | | | - Juan Luis Alcazar
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, 3431008 Pamplona, Spain
| | - Irene Pelayo-Delgado
- Department of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain
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Yang Y, Ju H, Huang Y. Diagnostic performance of IOTA SR and O-RADS combined with CA125, HE4, and risk of malignancy algorithm to distinguish benign and malignant adnexal masses. Eur J Radiol 2023; 165:110926. [PMID: 37418798 DOI: 10.1016/j.ejrad.2023.110926] [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: 01/07/2023] [Revised: 05/18/2023] [Accepted: 06/09/2023] [Indexed: 07/09/2023]
Abstract
PURPOSE To compare the diagnostic performance of International Ovarian Tumour Analysis Simple Rules (IOTA SR) and Ovarian-Adnexal Reporting and Data System (O-RADS), and to analyse whether combining IOTA SR and O-RADS with the biomarkers cancer antigen 125 (CA125), human epididymis protein 4 (HE4), and risk of malignancy algorithm (ROMA) further improves diagnostic performance in women with different menopause status. METHODS This study retrospectively included patients with ovarian adnexal masses confirmed by surgical pathology between September 2021 and February 2022. The area under the curve (AUC), sensitivity, and specificity were calculated to evaluate the diagnostic efficacy of IOTA SR, O-RADS, and their combination with CA125, HE4, and ROMA. RESULTS This study included 1,179 ovarian adnexal masses. In all women, the AUC of IOTA SR was comparable to O-RADS (0.879 vs. 0.889, P = 0.361), and O-RADS had a significantly higher sensitivity than IOTA SR (95.77 % vs. 87.32 %, P < 0.001). In premenopausal women, O-RADS had a significantly higher AUC than other diagnostic strategies (all P < 0.05), and the sensitivity, specificity, and accuracy were 93.33 %, 84.74 %, and 85.59 %, respectively. In postmenopausal women, IOTA SR + ROMA had a significantly higher AUC than other diagnostic strategies (all P < 0.05), and the sensitivity, specificity, and accuracy were 85.37 %, 93.88 %, and 90.00 %, respectively. CONCLUSIONS Our study supports the high diagnostic value of IOTA SR or O-RADS alone in all women, and O-RADS was more sensitive than IOTA SR. In premenopausal women, O-RADS had the highest diagnostic value. In postmenopausal women, IOTA SR outperformed O-RADS, and IOTA SR + ROMA had the highest diagnostic value.
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Affiliation(s)
- Yang Yang
- Department of Ultrasound, China Medical University, Shengjing Hospital, No. 36 Sanhao Street, Heping District, Shenyang, 110004 Liaoning Province, China
| | - Hao Ju
- Department of Ultrasound, China Medical University, Shengjing Hospital, No. 36 Sanhao Street, Heping District, Shenyang, 110004 Liaoning Province, China
| | - Ying Huang
- Department of Ultrasound, China Medical University, Shengjing Hospital, No. 36 Sanhao Street, Heping District, Shenyang, 110004 Liaoning Province, China.
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Koutras A, Perros P, Prokopakis I, Ntounis T, Fasoulakis Z, Pittokopitou S, Samara AA, Valsamaki A, Douligeris A, Mortaki A, Sapantzoglou I, Katrachouras A, Pagkalos A, Symeonidis P, Palios VC, Psarris A, Theodora M, Antsaklis P, Makrydimas G, Chionis A, Daskalakis G, Kontomanolis EN. Advantages and Limitations of Ultrasound as a Screening Test for Ovarian Cancer. Diagnostics (Basel) 2023; 13:2078. [PMID: 37370973 DOI: 10.3390/diagnostics13122078] [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: 03/24/2023] [Revised: 05/13/2023] [Accepted: 06/12/2023] [Indexed: 06/29/2023] Open
Abstract
Ovarian cancer (OC) is the seventh most common malignancy diagnosed among women, the eighth leading cause of cancer mortality globally, and the most common cause of death among all gynecological cancers. Even though recent advances in technology have allowed for more accurate radiological and laboratory diagnostic tests, approximately 60% of OC cases are diagnosed at an advanced stage. Given the high mortality rate of advanced stages of OC, early diagnosis remains the main prognostic factor. Our aim is to focus on the sonographic challenges in ovarian cancer screening and to highlight the importance of sonographic evaluation, the crucial role of the operator΄s experience, possible limitations in visibility, emphasizing the importance and the necessity of quality assurance protocols that health workers have to follow and finally increasing the positive predictive value. We also analyzed how ultrasound can be combined with biomarkers (ex. CA-125) so as to increase the sensitivity of early-stage OC detection or, in addition to the gold standard examination, the CT (Computed tomography) scan in OC follow-up. Improvements in the performance and consistency of ultrasound screening could reduce the need for repeated examinations and, mainly, ensure diagnostic accuracy. Finally, we refer to new very promising techniques such as liquid biopsies. Future attempts in order to improve screening should focus on the identification of features that are unique to OC and that are present in early-stage tumors.
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Affiliation(s)
- Antonios Koutras
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Paraskevas Perros
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Ioannis Prokopakis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Thomas Ntounis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Zacharias Fasoulakis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Savia Pittokopitou
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Athina A Samara
- Department of Embryology, University of Thessaly, Mezourlo, 41110 Larissa, Greece
| | - Asimina Valsamaki
- Department of Internal Medicine, General Hospital of Larisa, Tsakalof 1, 41221 Larisa, Greece
| | - Athanasios Douligeris
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Anastasia Mortaki
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Ioakeim Sapantzoglou
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Alexandros Katrachouras
- Department of Obstetrics and Gynecology, University General Hospital of Ioannina, University of Ioannina, Stavros Niarchos Str., 45500 Ioannina, Greece
| | - Athanasios Pagkalos
- Department of Obstetrics and Gynecology, General Hospital of Xanthi, Neapoli, 67100 Xanthi, Greece
| | - Panagiotis Symeonidis
- Department of Obstetrics and Gynecology, Democritus University of Thrace, 6th km Alexandroupolis-Makris, 68100 Alexandroupolis, Greece
| | | | - Alexandros Psarris
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Marianna Theodora
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Panos Antsaklis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - George Makrydimas
- Department of Obstetrics and Gynaecology, University of Ioannina, 45110 Ioannina, Greece
| | - Athanasios Chionis
- Department of Gynecology, Laiko General Hospital of Athens, Agiou Thoma 17, 11527 Athens, Greece
| | - Georgios Daskalakis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens 'ALEXANDRA', National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece
| | - Emmanuel N Kontomanolis
- Department of Obstetrics and Gynecology, Democritus University of Thrace, 6th km Alexandroupolis-Makris, 68100 Alexandroupolis, Greece
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Chacon E, Arraiza M, Manzour N, Benito A, Mínguez JÁ, Vázquez-Vicente D, Castellanos T, Chiva L, Alcazar JL. Ultrasound examination, MRI, or ROMA for discriminating between inconclusive adnexal masses as determined by IOTA Simple Rules: a prospective study. Int J Gynecol Cancer 2023:ijgc-2022-004253. [PMID: 37055169 DOI: 10.1136/ijgc-2022-004253] [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: 04/15/2023] Open
Abstract
OBJECTIVE To determine the best second-step approach for discriminating benign from malignant adnexal masses classified as inconclusive by International Ovarian Tumour Analysis Simple Rules (IOTA-SR). METHODS Single-center prospective study comprising a consecutive series of patients diagnosed as having an adnexal mass classified as inconclusive according to IOTA-SR. All women underwent Risk of Ovarian Malignancy Algorithm (ROMA) analysis, MRI interpreted by a radiologist, and ultrasound examination by a gynecological sonologist. Cases were clinically managed according to the result of the ultrasound expert examination by either serial follow-up for at least 1 year or surgery. Reference standard was histology (patient was submitted to surgery if any of the tests was suspicious) or follow-up (masses with no signs of malignancy after 12 months were considered benign). Diagnostic performance of all three approaches was calculated and compared. Direct cost analysis of the test used was also performed. RESULTS Eighty-two adnexal masses in 80 women (median age 47.6 years, range 16 to 73 years) were included. Seventeen patients (17 masses) were managed expectantly (none had diagnosis of ovarian cancer after at least 12 months of follow-up) and 63 patients (65 masses) underwent surgery and tumor removal (40 benign and 25 malignant tumors). Sensitivity and specificity for ultrasound, MRI, and ROMA were 96% and 93%, 100% and 81%, and 24% and 93%, respectively. The specificity of ultrasound was better than that for MRI (p=0.021), and the sensitivity of ultrasound was better than that for ROMA (p<0.001), sensitivity was better for MRI than for ROMA (p<0.001) and the specificity of ROMA was better than that for MRI (p<0.001). Ultrasound evaluation was the most effective and least costly method as compared with MRI and ROMA. CONCLUSION In this study, ultrasound examination was the best second-step approach in inconclusive adnexal masses as determined by IOTA-SR, but the findings require confirmation in multicenter prospective trials.
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Affiliation(s)
- Enrique Chacon
- Department of Obstetrics and Gynecology, Universidad de Navarra, Pamplona, Navarra, Spain
| | - Maria Arraiza
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Nabil Manzour
- Department of Obstetrics and Gynecology, Universidad de Navarra, Pamplona, Navarra, Spain
| | - Alberto Benito
- Department of Radiology, Clínica Universidad de Navarra, Pamplona, Spain
| | - José Ángel Mínguez
- Department of Obstetrics and Gynecology, Universidad de Navarra, Pamplona, Navarra, Spain
| | | | - Teresa Castellanos
- Department of Gynecology, Clinica Universitaria de Navarra, Madrid, Spain
| | - Luis Chiva
- Department of Gynecology, Clinica Universitaria de Navarra, Madrid, Spain
| | - Juan Luis Alcazar
- Department of Obstetrics and Gynecology, Universidad de Navarra, Pamplona, Navarra, Spain
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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.
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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.
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Grab D, Merz E, Eichhorn KH, Tutschek B, Kagan KO, Heling KS, Faber R, Klaritsch P, Rempen A, Kähler C, Henrich W, Manegold-Brauer G, Helmy S, Hoopmann M. Basic Gynecologic Ultrasound Examination (Level I): DEGUM, ÖGUM, and SGUM Recommendations. ULTRASCHALL IN DER MEDIZIN (STUTTGART, GERMANY : 1980) 2023; 44:151-161. [PMID: 35705173 DOI: 10.1055/a-1851-5157] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Ultrasound has become an essential diagnostic tool in gynecology, and every practicing gynecologist must be able to differentiate normal from pathologic findings, such as benign or malignant pelvic masses, adnexal torsion, pelvic inflammation disease, endometriosis, ectopic pregnancies, and congenital uterine malformations at least on a basic level. A standardized approach to the correct settings of the ultrasound system, the indications for gynecologic ultrasound investigations, and the sonographic appearance of normal anatomy and common pathologic findings in the standard planes are important prerequisites for safe and confident clinical management of gynecologic patients. Based on current publications and different national and international guidelines, updated DEGUM, ÖGUM, and SGUM recommendations for the performance of basic gynecologic ultrasound examinations were established.
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Affiliation(s)
- Dieter Grab
- Obstetrics and Gynecology, University of Ulm, Germany
| | - Eberhard Merz
- Frankfurt, Center for Ultrasound and Prenatal Medicine, Frankfurt/Main, Germany
| | | | | | - Karl Oliver Kagan
- Department of Obstetrics and Gynaecology, University of Tuebingen, Germany
| | - Kai-Sven Heling
- Berlin, Prenatal Diagnosis and Human Genetics, Berlin, Germany
| | - Renaldo Faber
- Leipzig, Center of Prenatal Medicine, Leipzig, Germany
| | - Philipp Klaritsch
- Department of Obstetrics and Gynecology, Medical University Graz, Austria
| | - Andreas Rempen
- Department of Gynecology and Obstetrics, Diakonieklinik, Schwäbisch Hall, Germany
| | | | - Wolfgang Henrich
- Obstetrics, Charité University Hospital Berlin - Virchow Hospital Campus, Berlin, Germany
| | | | - Samir Helmy
- Department of Obstetrics and Gynecology, Medical University of Vienna, Austria
| | - Markus Hoopmann
- Department of Obstetrics and Gynaecology, University of Tübingen, Tübingen, Germany
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Bourgioti C, Konidari M, Moulopoulos LA. Manifestations of Ovarian Cancer in Relation to Other Pelvic Diseases by MRI. Cancers (Basel) 2023; 15:cancers15072106. [PMID: 37046767 PMCID: PMC10093428 DOI: 10.3390/cancers15072106] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
Imaging plays a pivotal role in the diagnostic approach of women with suspected ovarian cancer. MRI is widely used for preoperative characterization and risk stratification of adnexal masses. While epithelial ovarian cancer (EOC) has typical findings on MRI; there are several benign and malignant pelvic conditions that may mimic its appearance on imaging. Knowledge of the origin and imaging characteristics of a pelvic mass will help radiologists diagnose ovarian cancer promptly and accurately. Finally, in special subgroups, including adolescents and gravid population, the prevalence of various ovarian tumors differs from that of the general population and there are conditions which uniquely manifest during these periods of life.
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Affiliation(s)
- Charis Bourgioti
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
| | - Marianna Konidari
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
| | - Lia Angela Moulopoulos
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Aretaieion Hospital, 76 Vas. Sofias Ave., 11528 Athens, Greece
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Pelayo M, Pelayo-Delgado I, Sancho-Sauco J, Sanchez-Zurdo J, Abarca-Martinez L, Corraliza-Galán V, Martin-Gromaz C, Pablos-Antona MJ, Zurita-Calvo J, Alcázar JL. Comparison of Ultrasound Scores in Differentiating between Benign and Malignant Adnexal Masses. Diagnostics (Basel) 2023; 13:diagnostics13071307. [PMID: 37046525 PMCID: PMC10093240 DOI: 10.3390/diagnostics13071307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/26/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
Subjective ultrasound assessment by an expert examiner is meant to be the best option for the differentiation between benign and malignant adnexal masses. Different ultrasound scores can help in the classification, but whether one of them is significantly better than others is still a matter of debate. The main aim of this work is to compare the diagnostic performance of some of these scores in the evaluation of adnexal masses in the same set of patients. This is a retrospective study of a consecutive series of women diagnosed as having a persistent adnexal mass and managed surgically. Ultrasound characteristics were analyzed according to IOTA criteria. Masses were classified according to the subjective impression of the sonographer and other ultrasound scores (IOTA simple rules -SR-, IOTA simple rules risk assessment -SRRA-, O-RADS classification, and ADNEX model -with and without CA125 value-). A total of 122 women were included. Sixty-two women were postmenopausal (50.8%). Eighty-one women had a benign mass (66.4%), and 41 (33.6%) had a malignant tumor. The sensitivity of subjective assessment, IOTA SR, IOTA SRRA, and ADNEX model with or without CA125 and O-RADS was 87.8%, 66.7%, 78.1%, 95.1%, 87.8%, and 90.2%, respectively. The specificity for these approaches was 69.1%, 89.2%, 72.8%, 74.1%, 67.9%, and 60.5%, respectively. All methods with similar AUC (0.81, 0.78, 0.80, 0.88, 0.84, and 0.75, respectively). We concluded that IOTA SR, IOTA SRRA, and ADNEX models with or without CA125 and O-RADS can help in the differentiation of benign and malignant masses, and their performance is similar to the subjective assessment of an experienced sonographer.
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Affiliation(s)
- Mar Pelayo
- Department of Radiology, Hospital HM Puerta del Sur, 28938 Móstoles, Spain;
- Department of Radiology, Hospital HM Rivas, 28521 Madrid, Spain
| | - Irene Pelayo-Delgado
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
- Correspondence: (I.P.-D.); (J.L.A.)
| | - Javier Sancho-Sauco
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | | | - Leopoldo Abarca-Martinez
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | - Virginia Corraliza-Galán
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | - Carmen Martin-Gromaz
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | - María Jesús Pablos-Antona
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | - Julia Zurita-Calvo
- Department of Obstetrics and Gynecology, Hospital Ramon y Cajal, 28034 Madrid, Spain; (J.S.-S.); (L.A.-M.); (V.C.-G.); (C.M.-G.); (M.J.P.-A.); (J.Z.-C.)
| | - Juan Luis Alcázar
- Department of Obstetrics and Gynecology, Clinica Universidad de Navarra, 31008 Pamplona, Spain
- Correspondence: (I.P.-D.); (J.L.A.)
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Gong LP, Li XY, Wu YN, Dong S, Zhang S, Feng YN, Lv YE, Guo XJ, Peng YQ, Du XS, Tian JW, Sun CX, Sun LT. Nomogram based on the O-RADS for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. J Ovarian Res 2023; 16:57. [PMID: 36945000 PMCID: PMC10029304 DOI: 10.1186/s13048-023-01133-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/09/2023] [Indexed: 03/23/2023] Open
Abstract
OBJECTIVE The accurate preoperative differentiation of benign and malignant adnexal masses, especially those with complex ultrasound morphology, remains a great challenge for junior sonographers. The purpose of this study was to develop and validate a nomogram based on the Ovarian-Adnexal Reporting and Data System (O-RADS) for predicting the malignancy risk of adnexal masses with complex ultrasound morphology. METHODS A total of 243 patients with data on adnexal masses with complex ultrasound morphology from January 2019 to December 2020 were selected to establish the training cohort, while 106 patients with data from January 2021 to December 2021 served as the validation cohort. Univariate and multivariate analyses were used to determine independent risk factors for malignant tumors in the training cohort. Subsequently, a predictive nomogram model was developed and validated in the validation cohort. The calibration, discrimination, and clinical net benefit of the nomogram model were assessed separately by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Finally, we compared this model to the O-RADS. RESULTS The O-RADS category, an elevated CA125 level, acoustic shadowing and a papillary projection with color Doppler flow were the independent predictors and were incorporated into the nomogram model. The area under the ROC curve (AUC) of the nomogram model was 0.958 (95% CI, 0.932-0.984) in the training cohort. The specificity and sensitivity were 0.939 and 0.893, respectively. This nomogram also showed good discrimination in the validation cohort (AUC = 0.940, 95% CI, 0.899-0.981), with a sensitivity of 0.915 and specificity of 0.797. In addition, the nomogram model showed good calibration efficiency in both the training and validation cohorts. DCA indicated that the nomogram was clinically useful. Furthermore, the nomogram model had higher AUC and net benefit than the O-RADS. CONCLUSION The nomogram based on the O-RADS showed a good predictive ability for the malignancy risk of adnexal masses with complex ultrasound morphology and could provide help for junior sonographers.
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Affiliation(s)
- Li-Ping Gong
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Xiao-Ying Li
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Ying-Nan Wu
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Shuang Dong
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Shuang Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Ya-Nan Feng
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Ya-Er Lv
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Xi-Juan Guo
- Department of Ultrasound, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050011, Hebei Province, China
| | - Yan-Qing Peng
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China
| | - Xiao-Shan Du
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Jia-Wei Tian
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang Province, China
| | - Cong-Xin Sun
- Department of Ultrasound, Shijiazhuang Obstetrics and Gynecology Hospital, Shijiazhuang, 050011, Hebei Province, China.
| | - Li-Tao Sun
- Department of Ultrasound, Zhejiang Provincial People's Hospital, Hangzhou, 310014, Zhejiang Province, China.
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Panico C, Avesani G, Zormpas-Petridis K, Rundo L, Nero C, Sala E. Radiomics and Radiogenomics of Ovarian Cancer. Radiol Clin North Am 2023; 61:749-760. [PMID: 37169435 DOI: 10.1016/j.rcl.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
Abstract
Ovarian cancer, one of the deadliest gynecologic malignancies, is characterized by high intra- and inter-site genomic and phenotypic heterogeneity. The traditional information provided by the conventional interpretation of diagnostic imaging studies cannot adequately represent this heterogeneity. Radiomics analyses can capture the complex patterns related to the microstructure of the tissues and provide quantitative information about them. This review outlines how radiomics and its integration with other quantitative biological information, like genomics and proteomics, can impact the clinical management of ovarian cancer.
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Semba S, Kodama T, Nomura N, Sato Y, Urabe S, Hirata E. A case of cystic lymphangioma arising from the parauterine tissue. J Obstet Gynaecol Res 2023; 49:1048-1051. [PMID: 36582076 DOI: 10.1111/jog.15531] [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: 03/24/2022] [Accepted: 12/19/2022] [Indexed: 12/31/2022]
Abstract
A 57-year-old woman, gravida 3, para 3, with no complaints visited our hospital for right-sided adnexal tumor found incidentally in cancer screening. She had no medical history, surgical history, or gynecological disease. Imaging studies showed a 5-cm lobular cystic tumor on the right side of uterus. We suspected right hydrosalpinx and decided to perform diagnostic laparoscopy. During laparoscopy, the right adnexa was found to be atrophic, and the tumor was located in the broad ligament. The tumor was observed to be a multilocular cyst containing yellow fluid that developed from the right parauterine tissue. The tumor was resected from the surrounding tissue. Histological examination revealed that the multilocular cyst contained a vascular component surrounding the lymphatic endothelium and was decided to be a cystic lymphangioma. The patient was followed up and there was no evidence of recurrence at postoperative 7 months. We experienced a very rare case of lymphangioma arising from the parauterine tissue. The laparoscopic approach can assist with both diagnosis and treatment.
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Affiliation(s)
- Satoki Semba
- Department of Obstetrics and Gynecology, Kurashiki Medical Center, Okayama, Japan
| | - Takashi Kodama
- Department of Reproductive Medicine, Hiroshima Prefectural Hospital, Hiroshima, Japan
| | - Nana Nomura
- Department of Obstetrics and Gynecology, Higashihiroshima Medical Center, Hiroshima, Japan
| | - Yuki Sato
- Department of Obstetrics and Gynecology, Higashihiroshima Medical Center, Hiroshima, Japan
| | - Satoshi Urabe
- Department of Gynecology, Yasuda Hospital, Hiroshima, Japan
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O-RADS Classification for Ultrasound Assessment of Adnexal Masses: Agreement between IOTA Lexicon and ADNEX Model for Assigning Risk Group. Diagnostics (Basel) 2023; 13:diagnostics13040673. [PMID: 36832161 PMCID: PMC9955729 DOI: 10.3390/diagnostics13040673] [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: 12/07/2022] [Revised: 02/07/2023] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND The O-RADS system is a new proposal for establishing the risk of malignancy of adnexal masses using ultrasound. The objective of this study is to assess the agreement and diagnostic performance of O-RADS when using the IOTA lexicon or ADNEX model for assigning the O-RADS risk group. METHODS Retrospective analysis of prospectively collected data. All women diagnosed as having an adnexal mass underwent transvaginal/transabdominal ultrasound. Adnexal masses were classified according to the O-RADS classification, using the criterion of the IOTA lexicon and according to the risk of malignancy determined by the ADNEX model. The agreement between both methods for assigning the O-RADS group was estimated using weighted Kappa and the percentage of agreement. The sensitivity and specificity of both approaches were calculated. RESULTS 454 adnexal masses in 412 women were evaluated during the study period. There were 64 malignant masses. The agreement between the two approaches was moderate (Kappa: 0.47), and the percentage of agreement was 46%. Most disagreements occurred for the groups O-RADS 2 and 3 and for groups O-RADS 3 and 4. The sensitivity and specificity for O-RADS using the IOTA lexicon and O-RADS using the ADNEX model were 92.2% and 86.1%, and 85.9% and 87.4%, respectively. CONCLUSION The diagnostic performance of O-RADS classification using the IOTA lexicon as opposed to the IOTA ADNEX model is similar. However, O-RADS group assignment varies significantly, depending on the use of the IOTA lexicon or the risk estimation using the ADNEX model. This fact might be clinically relevant and deserves further research.
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Alcázar JL, Rodriguez-Guzman L, Vara J, Amor F, Diaz L, Vaccaro H. Gynecologic Imaging and Reporting Data System for classifying adnexal masses. Minerva Obstet Gynecol 2023; 75:69-79. [PMID: 36790399 DOI: 10.23736/s2724-606x.22.05122-3] [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: 06/18/2023]
Abstract
INTRODUCTION To perform a systematic review and meta-analysis of the diagnostic performance of the so-called Gynecologic Imaging and Report Data System (GI-RADS) for classifying adnexal masses. EVIDENCE ACQUISITION A search for studies reporting about the use of GI-RADS system for classifying adnexal masses from January 2009 to December 2021 was performed in Medline (Pubmed), Google Scholar, Scopus, Cochrane, and Web of Science databases. Pooled sensitivity, specificity, positive and negative likelihood ratios and diagnostic odd ratio (DOR) were calculated. Studies' quality was evaluated using QUADAS-2. EVIDENCE SYNTHESIS We identified 510 citations. Ultimately, 26 studies comprising 7350 masses were included. Mean prevalence of ovarian malignancy was 26%. The risk of bias was high in eight studies for domain "patient selection" and low for "index test," "reference test" domains for all studies. Overall, pooled estimated sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio and DOR of GI-RADS system for classifying adnexal masses were 94% (95% confidence interval [CI]=91-96%), 90% (95% CI=87-92%), 9.1 (95% CI=7.0-11.9), and 0.07 (95% CI=0.05-0.11), and 132 (95% CI=78-221), respectively. Heterogeneity was high for both sensitivity and specificity. Meta-regression showed that multiple observers and study's design explained this heterogeneity among studies. CONCLUSIONS GI-RADS system has a good diagnostic performance for classifying adnexal masses.
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Affiliation(s)
- Juan L Alcázar
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, Pamplona, Spain -
| | | | - Julio Vara
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, Pamplona, Spain
| | - Fernando Amor
- Panoramic Ultrasonic Ultrasound Center, Santiago, Chile
| | - Linder Diaz
- AGB Ultrasonography Center, Clínica Sanatorio Alemán S.A., Concepción, Chile
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Phillips CH, Guo Y, Strachowski LM, Jha P, Reinhold C, Andreotti RF. The Ovarian/Adnexal Reporting and Data System for Ultrasound: From Standardized Terminology to Optimal Risk Assessment and Management. Can Assoc Radiol J 2023; 74:44-57. [PMID: 35831958 DOI: 10.1177/08465371221108057] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
The American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon and risk assessment tool for ultrasound (US) provides a framework for characterization of ovarian and adnexal pathology with the ultimate goal of harmonizing reporting and patient management strategies. Since the first O-RADS US publication in 2018, multiple validation studies have shown O-RADS US to have excellent diagnostic accuracy, with the majority of these studies using O-RADS 4 as the optimal cut-off for detecting ovarian cancer. Most of the existing validation studies include a dedicated training phase and confirm that ORADS US categories and lexicon descriptors are associated with high level inter-read agreement, regardless of radiologist training level or practice experience. O-RADS US has a similar inter-reader agreement when compared to Gynecologic Imaging Reporting and Data System (GIRADS), Assessment of Different Neoplasias in the adnexa (ADNEX), and International Tumor Analysis Group (IOTA) simple rules. System descriptors have been shown to correlate with expected malignancy rates and the O-RADS US risk stratification system has been shown to perform in the expected range of malignancy risk per category. Further directions will focus on clarifying governing concepts and lexicon terminology as well as further refining risk stratification categories based on data from published validation studies.
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Affiliation(s)
- Catherine H Phillips
- Department of Radiology and Radiological Sciences, 612495Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yang Guo
- Department of Radiology, 381760Brigham and Women's Hospital, Boston, MA, USA
| | - Loretta M Strachowski
- Department of Radiology and Biomedical Imaging, Department of Obstetrics, Gynecology, and Reproductive Sciences, 192653University of California, San Francisco, CA, USA
| | - Priyanka Jha
- Department of Radiology and Biomedical Imaging, 192653University of California, San Francisco, CA, USA
| | - Caroline Reinhold
- Department of Radiology, McGill University Health Centre, 54473McGill University, Montreal, QC, Canada.,Co-Director, Augmented Intelligence Precision Health Laboratory, Research Institute of the McGill University Health Center, Montreal, Canada.,Montreal Imaging Experts Inc., Montreal, Canada
| | - Rochelle F Andreotti
- Department of Radiology and Radiological Sciences, Department of Obstetrics and Gynecology, 612495Vanderbilt University Medical Center, Nashville, TN, USA
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Landolfo C, Bourne T, Froyman W, Van Calster B, Ceusters J, Testa AC, Wynants L, Sladkevicius P, Van Holsbeke C, Domali E, Fruscio R, Epstein E, Franchi D, Kudla MJ, Chiappa V, Alcazar JL, Leone FPG, Buonomo F, Coccia ME, Guerriero S, Deo N, Jokubkiene L, Savelli L, Fischerova D, Czekierdowski A, Kaijser J, Coosemans A, Scambia G, Vergote I, Timmerman D, Valentin L. Benign descriptors and ADNEX in two-step strategy to estimate risk of malignancy in ovarian tumors: retrospective validation in IOTA5 multicenter cohort. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2023; 61:231-242. [PMID: 36178788 PMCID: PMC10107772 DOI: 10.1002/uog.26080] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 08/26/2022] [Accepted: 09/16/2022] [Indexed: 05/27/2023]
Abstract
OBJECTIVE Previous work has suggested that the ultrasound-based benign simple descriptors (BDs) can reliably exclude malignancy in a large proportion of women presenting with an adnexal mass. This study aimed to validate a modified version of the BDs and to validate a two-step strategy to estimate the risk of malignancy, in which the modified BDs are followed by the Assessment of Different NEoplasias in the adneXa (ADNEX) model if modified BDs do not apply. METHODS This was a retrospective analysis using data from the 2-year interim analysis of the International Ovarian Tumor Analysis (IOTA) Phase-5 study, in which consecutive patients with at least one adnexal mass were recruited irrespective of subsequent management (conservative or surgery). The main outcome was classification of tumors as benign or malignant, based on histology or on clinical and ultrasound information during 1 year of follow-up. Multiple imputation was used when outcome based on follow-up was uncertain according to predefined criteria. RESULTS A total of 8519 patients were recruited at 36 centers between 2012 and 2015. We excluded patients who were already in follow-up at recruitment and all patients from 19 centers that did not fulfil our criteria for good-quality surgical and follow-up data, leaving 4905 patients across 17 centers for statistical analysis. Overall, 3441 (70%) tumors were benign, 978 (20%) malignant and 486 (10%) uncertain. The modified BDs were applicable in 1798/4905 (37%) tumors, of which 1786 (99.3%) were benign. The two-step strategy based on ADNEX without CA125 had an area under the receiver-operating-characteristics curve (AUC) of 0.94 (95% CI, 0.92-0.96). The risk of malignancy was slightly underestimated, but calibration varied between centers. A sensitivity analysis in which we expanded the definition of uncertain outcome resulted in 1419 (29%) tumors with uncertain outcome and an AUC of the two-step strategy without CA125 of 0.93 (95% CI, 0.91-0.95). CONCLUSION A large proportion of adnexal masses can be classified as benign by the modified BDs. For the remaining masses, the ADNEX model can be used to estimate the risk of malignancy. This two-step strategy is convenient for clinical use. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- C. Landolfo
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of Woman, Child and Public HealthFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
| | - T. Bourne
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of Obstetrics and GynecologyUniversity Hospitals LeuvenLeuvenBelgium
- Queen Charlotte's and Chelsea HospitalImperial College Healthcare NHS TrustLondonUK
| | - W. Froyman
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of Obstetrics and GynecologyUniversity Hospitals LeuvenLeuvenBelgium
| | - B. Van Calster
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of Biomedical Data SciencesLeiden University Medical Centre (LUMC)LeidenThe Netherlands
| | - J. Ceusters
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Laboratory of Tumor Immunology and Immunotherapy, Department of OncologyLeuven Cancer Institute, KU LeuvenLeuvenBelgium
| | - A. C. Testa
- Department of Woman, Child and Public HealthFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Dipartimento Universitario Scienze della Vita e Sanità PubblicaUniversità Cattolica del Sacro CuoreRomeItaly
| | - L. Wynants
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of EpidemiologyCAPHRI Care and Public Health Research Institute, Maastricht UniversityMaastrichtThe Netherlands
| | - P. Sladkevicius
- Department of Obstetrics and GynecologySkåne University HospitalMalmöSweden
- Department of Clinical Sciences MalmöLund UniversityLundSweden
| | - C. Van Holsbeke
- Department of Obstetrics and GynecologyZiekenhuis Oost‐LimburgGenkBelgium
| | - E. Domali
- First Department of Obstetrics and GynecologyAlexandra Hospital, National and Kapodistrian University of AthensAthensGreece
| | - R. Fruscio
- Clinic of Obstetrics and GynecologyUniversity of Milano‐Bicocca, San Gerardo HospitalMonzaItaly
| | - E. Epstein
- Department of Clinical Science and EducationKarolinska InstitutetStockholmSweden
- Department of Obstetrics and GynecologySödersjukhusetStockholmSweden
| | - D. Franchi
- Preventive Gynecology Unit, Division of GynecologyEuropean Institute of Oncology IRCCSMilanItaly
| | - M. J. Kudla
- Department of Perinatology and Oncological GynecologyFaculty of Medical Sciences, Medical University of SilesiaKatowicePoland
| | - V. Chiappa
- Department of Gynecologic OncologyNational Cancer Institute of MilanMilanItaly
| | - J. L. Alcazar
- Department of Obstetrics and GynecologyClinica Universidad de Navarra, School of MedicinePamplonaSpain
| | - F. P. G. Leone
- Department of Obstetrics and GynecologyBiomedical and Clinical Sciences Institute L. Sacco, University of MilanMilanItaly
| | - F. Buonomo
- Institute for Maternal and Child HealthIRCCS ‘Burlo Garofolo’TriesteItaly
| | - M. E. Coccia
- Department of Obstetrics and GynecologyUniversity of FlorenceFlorenceItaly
| | - S. Guerriero
- Department of Obstetrics and GynecologyUniversity of Cagliari, Policlinico Universitario Duilio CasulaCagliariItaly
| | - N. Deo
- Department of Obstetrics and GynecologyWhipps Cross HospitalLondonUK
| | - L. Jokubkiene
- Department of Obstetrics and GynecologySkåne University HospitalMalmöSweden
- Department of Clinical Sciences MalmöLund UniversityLundSweden
| | - L. Savelli
- Gynecology and Physiopathology of Human Reproduction UnitSant'Orsola‐Malpighi Hospital of BolognaBolognaItaly
| | - D. Fischerova
- Gynecologic Oncology Centre, Department of Obstetrics and Gynecology, First Faculty of MedicineCharles University and General University Hospital in PraguePragueCzech Republic
| | - A. Czekierdowski
- First Department of Gynecological Oncology and GynecologyMedical University of LublinLublinPoland
| | - J. Kaijser
- Department of Obstetrics and GynecologyIkazia HospitalRotterdamThe Netherlands
| | - A. Coosemans
- Laboratory of Tumor Immunology and Immunotherapy, Department of OncologyLeuven Cancer Institute, KU LeuvenLeuvenBelgium
| | - G. Scambia
- Department of Woman, Child and Public HealthFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Dipartimento Universitario Scienze della Vita e Sanità PubblicaUniversità Cattolica del Sacro CuoreRomeItaly
| | - I. Vergote
- Department of Obstetrics and GynecologyUniversity Hospitals LeuvenLeuvenBelgium
- Laboratory of Tumor Immunology and Immunotherapy, Department of OncologyLeuven Cancer Institute, KU LeuvenLeuvenBelgium
| | - D. Timmerman
- Department of Development and RegenerationKU LeuvenLeuvenBelgium
- Department of Obstetrics and GynecologyUniversity Hospitals LeuvenLeuvenBelgium
| | - L. Valentin
- Department of Obstetrics and GynecologySkåne University HospitalMalmöSweden
- Department of Clinical Sciences MalmöLund UniversityLundSweden
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Sridharan B, Lim HG. Exosomes and ultrasound: The future of theranostic applications. Mater Today Bio 2023; 19:100556. [PMID: 36756211 PMCID: PMC9900624 DOI: 10.1016/j.mtbio.2023.100556] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/17/2023] [Accepted: 01/17/2023] [Indexed: 01/21/2023] Open
Abstract
Biomaterials and pertaining formulations have been very successful in various diagnostic and therapeutic applications because of its ability to overcome pharmacological limitations. Some of them have gained significant focus in the recent decade for their theranostic properties. Exosomes can be grouped as biomaterials, since they consist of various biological micro/macromolecules and possess all the properties of a stable biomaterial with size in nano range. Significant research has gone into isolation and exploitation of exosomes as potential theranostic agent. However, the limitations in terms of yield, efficacy, and target specificity are continuously being addressed. On the other hand, several nano/microformulations are responsive to physical or chemical alterations and were successfully stimulated by tweaking the physical characteristics of the surrounding environment they are in. Some of them are termed as photodynamic, sonodynamic or thermodynamic therapeutic systems. In this regard, ultrasound and acoustic systems were extensively studied for its ability towards altering the properties of the systems to which they were applied on. In this review, we have detailed about the diagnostic and therapeutic applications of exosomes and ultrasound separately, consisting of their conventional applications, drawbacks, and developments for addressing the challenges. The information were categorized into various sections that provide complete overview of the isolation strategies and theranostic applications of exosomes in various diseases. Then the ultrasound-based disease diagnosis and therapy were elaborated, with special interest towards the use of ultrasound in enhancing the efficacy of nanomedicines and nanodrug delivery systems, Finally, we discussed about the ability of ultrasound in enhancing the diagnostic and therapeutic properties of exosomes, which could be the future of theranostics.
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Affiliation(s)
| | - Hae Gyun Lim
- Corresponding author. Biomedical Ultrasound Lab, Department of Biomedical Engineering, Pukyong National University, Busan, 48513, Republic of Korea.
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Song Z, Wang X, Fu J, Wang P, Chen X, Zhang D. Copenhagen index (CPH-I) is more favorable than CA125, HE4, and risk of ovarian malignancy algorithm (ROMA): Nomogram prediction models with clinical-ultrasonographic feature for diagnosing ovarian neoplasms. Front Surg 2023; 9:1068492. [PMID: 36713666 PMCID: PMC9880152 DOI: 10.3389/fsurg.2022.1068492] [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: 11/09/2022] [Accepted: 12/27/2022] [Indexed: 01/15/2023] Open
Abstract
Background We aimed to analyze the benign and malignant identification efficiency of CA125, HE4, risk of ovarian malignancy algorithm (ROMA), Copenhagen Index (CPH-I) in ovarian neoplasms and establish a nomogram to improve the preoperative evaluation value of ovarian neoplasms. Methods A total of 3,042 patients with ovarian neoplasms were retrospectively classified according to postoperative pathological diagnosis [benign, n = 2389; epithelial ovarian cancer (EOC), n = 653]. The patients were randomly divided into training and test cohorts at a ratio of 7:3. Using CA125, HE4, ROMA, and CPH-I, Receiver operating characteristic (ROC) curves corresponding to different truncation values were calculated and compared, and optimal truncation values were selected. Clinical and imaging risk factors were calculated using univariate regression, and significant variables were selected for multivariate regression analysis combined with ROMA and CPH-I. Nomograms were constructed to predict the occurrence of EOC, and the accuracy was assessed by external validation. Results When the cutoff value of CA125, HE4, ROMA, and CPH-I was 100 U/ml, 70 pmol/L, 12.5/14.4% (premenopausal/postmenopausal) and 5%, respectively, the AUC was 0.674, 0.721, 0.750 and 0.769, respectively. From univariate regression, the clinical risk factors were older age, menopausal status, higher birth rate, hypertension, and diabetes; imaging risk factors were multilocular tumors, solid nodules, bilateral tumors, larger tumor diameter, and ascites. The AUC of the nomogram containing ROMA and CPH-I was 0.8914 and 0.9114, respectively, which was better than the prediction accuracies of CA125, HE4, ROMA, and CPH-I alone. The nomogram with CPH-I was significantly better than that with ROMA (P < 0.001), and a nomogram decision curve analysis (DCA) containing CPH-I seemed to have better clinical benefits than ROMA. For external validation of this nomogram containing ROMA and CPH-I, the C-indices were 0.889 and 0.900, and the calibration curves were close to 45°, showing good agreement with the predicted values. Conclusion We conclude that CPH-I and ROMA have higher diagnostic values in the preoperative diagnosis of EOC than other single tumor markers like CA125 or HE4. A nomogram based on CPH-I and ROMA with clinical and ultrasonic indicators had a better diagnostic value, and the CPH-I nomogram had the highest diagnostic efficacy.
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Affiliation(s)
- Zixuan Song
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiaoxue Wang
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jiajun Fu
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Pengyuan Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xueting Chen
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dandan Zhang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China,Correspondence: Dandan Zhang
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Tantipalakorn C, Tinnangwattana D, Lerthiranwong T, Luewan S, Tongsong T. Comparisons of Effectiveness in Differentiating Benign from Malignant Ovarian Masses between Conventional and Modified Risk of Malignancy Index (RMI). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:888. [PMID: 36613208 PMCID: PMC9820305 DOI: 10.3390/ijerph20010888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 12/24/2022] [Accepted: 12/29/2022] [Indexed: 06/17/2023]
Abstract
OBJECTIVE To compare the predictive performance in differentiating benign from malignant ovarian masses between the modified risk malignancy index (RMI) and the conventional RMI (RMI-1 and RMI-2). METHODS Women scheduled for elective surgery because of adnexal masses were recruited to undergo pelvic sonography within 24 h before surgery to assess the sonographic characteristics of the masses, focusing on loculi, solid part, ascites, bilateralness, papillary projection, and color flow mapping (CFM). Preoperative CA-125 levels were also measured. Modified RMI, RMI-1, and RMI-2 systems were used to predict malignant masses. The gold standard was pathological or intraoperative diagnosis. RESULTS A total of 342 ovarian masses, benign: 243 (71.1%); malignant: 99 (28.9%), meeting the inclusion criteria were analyzed. The sensitivity and the specificity of the modified RMI (87.9% and 81.9%) were significantly higher than those of RMI-1 (74.7% and 84.4%), and RMI-2 (79.8% and 81.1%, respectively). Based on ROC curves, the area under the curves were 0.930, 0.881 and 0.882 for modified RMI, RMI-1 and RMI-2, respectively. CONCLUSION Modified RMI had better predictive performance than the conventional RMI in differentiating between benign and malignant ovarian masses. Modified RMI may be useful to help general gynecologists or practitioners to triage patients with an adnexal mass, especially in settings of low resources.
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Nunes Pereira P, Françoise Derchain S, Yoshida A, Hoelz de Oliveira Barros R, Menezes Jales R, Sarian LO. Diffusion-weighted magnetic resonance sequence and CA125/CEA ratio can be used as add-on tools to ultrasound for the differentiation of ovarian from non-ovarian pelvic masses. PLoS One 2023; 18:e0283212. [PMID: 36928256 PMCID: PMC10019666 DOI: 10.1371/journal.pone.0283212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 03/04/2023] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVE To provide a straightforward approach to the sequential use of ultrasound (US), magnetic resonance (MR) and serum biomarkers in order to differentiate the origin of pelvic masses, making the most efficient use of these diagnostic resources. STUDY DESIGN This is a cross-sectional study with 159 patients (133 with ovarian and 26 with non-ovarian tumors) who underwent surgery/biopsy for an adnexal mass. Preoperative CA125 and CEA serum measurements were obtained and a pelvic/abdominal ultrasound was performed. Preoperative pelvic MR studies were performed for all patients. Morphological and advanced MR sequences were obtained. Using a recursive partitioning algorithm to predict tumor origin, we devised a roadmap to determine the probability of non-ovarian origin using only statistically significant US, laboratory and MR parameters. RESULTS Upfront US classification as ovarian versus non-ovarian and CA125/CEA ratio were significantly associated with non-ovarian tumors. Signal diffusion (absent/low versus high) was the only MR parameter significantly associated with non-ovarian tumors. When upfront US designated a tumor as being of ovarian origin, further MR signal diffusion and CA125/CEA ratio were corrected nearly all US errors: patients with MR signal diffusion low/absent and those with signal high but CA125/CEA ratio ≥25 had an extremely low chance (<1%) of being of non-ovarian origin. However, for women whose ovarian tumors were incorrectly rendered as non-ovarian by upfront US, neither MR nor CA125/CEA ratio were able to determine tumor origin precisely. CONCLUSION MR signal diffusion is an extremely useful MR parameter to help determine adnexal mass origin when US and laboratory findings are inconclusive.
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Affiliation(s)
- Patrick Nunes Pereira
- Faculty of Medical Sciences, Department of Obstetrics and Gynecology, State University of Campinas—Unicamp, Campinas, São Paulo, Brazil
- Section of Imaging, Sumaré State Hospital, State University of Campinas, Sumaré, São Paulo, Brazil
| | - Sophie Françoise Derchain
- Faculty of Medical Sciences, Department of Obstetrics and Gynecology, State University of Campinas—Unicamp, Campinas, São Paulo, Brazil
| | - Adriana Yoshida
- Faculty of Medical Sciences, Department of Obstetrics and Gynecology, State University of Campinas—Unicamp, Campinas, São Paulo, Brazil
- * E-mail:
| | | | - Rodrigo Menezes Jales
- Faculty of Medical Sciences, Department of Obstetrics and Gynecology, State University of Campinas—Unicamp, Campinas, São Paulo, Brazil
| | - Luís Otávio Sarian
- Faculty of Medical Sciences, Department of Obstetrics and Gynecology, State University of Campinas—Unicamp, Campinas, São Paulo, Brazil
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