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Efetov SK, Cao Y, Zou J, Dorogov AY, Paramonova NB, Tsoy LV, Droshneva IV, Fatyanova AS. Metastasis of colorectal cancer to the uterine body and fallopian tube: case report and literature review. J Surg Case Rep 2024; 2024:rjae400. [PMID: 38859968 PMCID: PMC11163451 DOI: 10.1093/jscr/rjae400] [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: 04/22/2024] [Accepted: 05/29/2024] [Indexed: 06/12/2024] Open
Abstract
Colorectal cancer typically metastasizes to the peritoneum, liver, and lungs. However, metastases to the fallopian tube and uterus are uncommon. This case report delves into this rare occurrence of metastasis and discusses its characteristics, diagnostic methods, and treatments based on an extensive literature review. We present the case of a 61-year-old female patient who underwent her initial hospitalization for da Vinci robotic surgery to address colorectal cancer, stage pT3N0M0. However, during routine postoperative follow-up 6 months later, a localized rectal recurrence was detected. The patient commenced chemoradiotherapy with full response. Subsequently, the patient was readmitted due to pelvic pain again, and a magnetic resonance imaging scan revealed an abnormal mass in the patient's left fallopian tube and uterine corpus, infiltrating the myometrium. Consequently, total hysterectomy with bilateral adnexectomy was performed, along with omentectomy, which confirmed metastatic involvement from rectal cancer upon postoperative pathological examination. This case may inform further diagnosis and treatment of colorectal cancer metastasis to the fallopian tube.
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Affiliation(s)
- Sergey K Efetov
- Department of Faculty Surgery No.2, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Yu Cao
- Department of Faculty Surgery No.2, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Jinqi Zou
- Department of Faculty Surgery No.2, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Anton Y Dorogov
- Department of Faculty Surgery No.2, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Nina B Paramonova
- Insitute for Clinical Morphology and Digital Pathology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Larisa V Tsoy
- Insitute for Clinical Morphology and Digital Pathology, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
| | - Inna V Droshneva
- P.A. Herzen Moscow Oncology Research Institute, Branch, Nation Medical Radiology Research Center, Ministry of Health of Russia, Moscow, 119435, Russia
| | - Anastasia S Fatyanova
- Department of Oncology, Radiotherapy and Reconstructive Surgery, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119435, Russia
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Wang T, Cui W, Nie F, Huang X, Huang L, Liu L, Zhu Y, Zheng R. Comparative Study of the Efficacy of the Ovarian-Adnexa Reporting and Data System Ultrasound Combined With Contrast-Enhanced Ultrasound and the ADNEX MR Scoring System in the Diagnosis of Adnexal Masses. ULTRASOUND IN MEDICINE & BIOLOGY 2023:S0301-5629(23)00170-9. [PMID: 37321953 DOI: 10.1016/j.ultrasmedbio.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/23/2023] [Accepted: 05/22/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVE The aims of this study were to develop the Ovarian-Adnexa Reporting and Data System (O-RADS) and O-RADS + contrast-enhanced ultrasound (O-RADS CEUS) scoring system to distinguish adnexal masses (AMs) and to compare the diagnostic efficacy of these systems with that of a magnetic resonance imaging scoring system (ADNEX MR). METHODS We retrospectively evaluated 278 ovarian masses from 240 patients between May 2017 and July 2022. Pathology and adequate follow-up were used as reference standards for comparing the validity of O-RADS, O-RADS CEUS and ADNEX MR scoring to diagnose AMs. Area under the curve (AUC), sensitivity and specificity were calculated. The inter-class correlation coefficient (ICC) was calculated to evaluate inter-reader agreement (IRA) between the two sonographers and two radiologists who analyzed the findings with the three modalities. RESULTS The AUCs of O-RADS, O-RADS CEUS and ADNEX MR scores were 0.928 (95% confidence interval [CI]: 0.895-0.956), 0.951(95% CI: 0.919-0.973) and 0.964 (95% CI: 0.935-0.983), respectively. Their sensitivities were 95.7%, 94.3 and 91.4%, and their specificities were 81.3%, 92.3% and 97.1%, respectively. The three modalities had accuracies of 84.9%, 92.8% and 95.7%, respectively. O-RADS had the highest sensitivity but significantly lower specificity (p < 0.001), whereas the ADNEX MR scoring had the highest specificity (p < 0.001) but lower sensitivity (p < 0.001). O-RADS CEUS had intermediate sensitivity and specificity (p < 0.001). CONCLUSION The addition of CEUS significantly improves the efficacy of O-RADS in diagnosing AMs. The diagnostic efficacy of the combination is comparable to that of the ADNEX MR scoring system.
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Affiliation(s)
- Ting Wang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China; Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China; Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Wenjun Cui
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Gansu, China
| | - Fang Nie
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China; Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China; Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China.
| | - Xiao Huang
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China; Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China; Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Lele Huang
- Department of Nuclear Medicine, Lanzhou University Second Hospital, Gansu, China
| | - Luping Liu
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China; Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China; Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Yangyang Zhu
- Ultrasound Medical Center, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, China; Gansu Province Clinical Research Center for Ultrasonography, Lanzhou, China; Gansu Province Medical Engineering Research Center for Intelligence Ultrasound, Lanzhou, China
| | - Rongfang Zheng
- Department of Gynaecology, Lanzhou University Second Hospital, Gansu, China
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Behr GG, Morani AC, Artunduaga M, Desoky SM, Epelman M, Friedman J, Lala SV, Seekins J, Towbin AJ, Back SJ. Imaging of pediatric ovarian tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper. Pediatr Blood Cancer 2023; 70 Suppl 4:e29995. [PMID: 36184758 PMCID: PMC10642215 DOI: 10.1002/pbc.29995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 08/26/2022] [Indexed: 11/05/2022]
Abstract
Ovarian tumors in children are uncommon. Like those arising in the adult population, they may be broadly divided into germ cell, sex cord, and surface epithelium subtypes; however, germ cell tumors comprise the majority of lesions in children, whereas tumors of surface epithelial origin predominate in adults. Diagnostic workup, including the use of imaging, requires an approach that often differs from that required in an adult. This paper offers consensus recommendations for imaging of pediatric patients with a known or suspected primary ovarian malignancy at diagnosis and during follow-up.
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Affiliation(s)
- Gerald G Behr
- Department of Radiology, Memorial Sloan Kettering Cancer Center/Weill Cornell Medicine, New York, New York, USA
| | - Ajaykumar C Morani
- Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Maddy Artunduaga
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sarah M Desoky
- Department of Radiology, University of Arizona College of Medicine, Phoenix, Arizona, USA
| | - Monica Epelman
- Department of Radiology, Nicklaus Children's Hospital, Miami, Florida, USA
| | - Jonathan Friedman
- Department of Radiology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Shailee V Lala
- Department of Radiology, New York University Langone Health, New York, New York, USA
| | - Jayne Seekins
- Department of Radiology, Molecular Imaging Program at Stanford, Stanford University, Stanford, California, USA
| | - Alexander J Towbin
- Department of Radiology and Medical Imaging, Cincinnati Children's Hospital, Cincinnati, Ohio, USA
| | - Susan J Back
- Department of Radiology, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Agirlar Trabzonlu T, Modak M, Horowitz JM. MR Imaging of Mimics of Adnexal Pathology. Magn Reson Imaging Clin N Am 2022; 31:137-148. [DOI: 10.1016/j.mric.2022.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Sadowski EA, Thomassin-Naggara I, Rockall A, Maturen KE, Forstner R, Jha P, Nougaret S, Siegelman ES, Reinhold C. O-RADS MRI Risk Stratification System: Guide for Assessing Adnexal Lesions from the ACR O-RADS Committee. Radiology 2022; 303:35-47. [PMID: 35040672 PMCID: PMC8962917 DOI: 10.1148/radiol.204371] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
MRI plays an important role as a secondary test or problem-solving modality in the evaluation of adnexal lesions depicted at US. MRI has increased specificity compared with US, decreasing the number of false-positive diagnoses for malignancy and thereby avoiding unnecessary or over-extensive surgery in patients with benign lesions or borderline tumors, while women with possible malignancies can be expeditiously referred for oncologic surgical evaluation. The Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee is an international collaborative effort formed under the direction of the American College of Radiology and includes a diverse group of experts on adnexal imaging and management who developed the O-RADS MRI risk stratification system. This scoring system assigns a probability of malignancy based on the MRI features of an adnexal lesion and provides information to facilitate optimal patient management. The widespread implementation of a codified reporting system will lead to improved interpretation agreement and standardized communication between radiologists and referring physicians. In addition, it will allow for high-quality multi-institutional collaborations-an important unmet need that has hampered the performance of high-quality research in this area in the past. This article provides guidelines on using the O-RADS MRI risk stratification system in clinical practice, as well as in the educational and research settings.
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Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Isabelle Thomassin-Naggara
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Andrea Rockall
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Katherine E Maturen
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Rosemarie Forstner
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Priyanka Jha
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Stephanie Nougaret
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Evan S Siegelman
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
| | - Caroline Reinhold
- From the Departments of Radiology and Obstetrics and Gynecology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, E3/372 Madison, WI 53792-3252 (E.A.S.); Service d'Imageries Radiologiques et Interventionnelles Spécialisées (IRIS), Assistance Publique Hôpitaux de Paris, Sorbonne Université, Paris, France (I.T.N.); Division of Surgery and Cancer, Imperial College London, Hammersmith Campus, London, England (A.R.); Departments of Radiology and Obstetrics and Gynecology, University of Michigan, Ann Arbor, Mich (K.E.M.); Department of Radiology, Universitätsklinikum Salzburg, PMU Salzburg, Salzburg, Austria (R.F.); Department of Radiology, University of California-San Francisco, San Francisco, Calif (P.J.); Department of Radiology, IRCM INSERM, U1194 SIRIC, Montpellier, France (S.N.); Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pa (E.S.S.); Department of Radiology, McGill University Health Centre, McGill University, Montreal, Canada (C.R.); and Augmented Intelligence & Precision Health Laboratory, Research Institute of McGill University Health Centre, Montreal, Canada (C.R.)
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Wang H, Liu C, Zhao Z, Zhang C, Wang X, Li H, Wu H, Liu X, Li C, Qi L, Ma W. Application of Deep Convolutional Neural Networks for Discriminating Benign, Borderline, and Malignant Serous Ovarian Tumors From Ultrasound Images. Front Oncol 2021; 11:770683. [PMID: 34988015 PMCID: PMC8720926 DOI: 10.3389/fonc.2021.770683] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 11/29/2021] [Indexed: 11/18/2022] Open
Abstract
Objective This study aimed to evaluate the performance of the deep convolutional neural network (DCNN) to discriminate between benign, borderline, and malignant serous ovarian tumors (SOTs) on ultrasound(US) images. Material and Methods This retrospective study included 279 pathology-confirmed SOTs US images from 265 patients from March 2013 to December 2016. Two- and three-class classification task based on US images were proposed to classify benign, borderline, and malignant SOTs using a DCNN. The 2-class classification task was divided into two subtasks: benign vs. borderline & malignant (task A), borderline vs. malignant (task B). Five DCNN architectures, namely VGG16, GoogLeNet, ResNet34, MobileNet, and DenseNet, were trained and model performance before and after transfer learning was tested. Model performance was analyzed using accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Results The best overall performance was for the ResNet34 model, which also achieved the better performance after transfer learning. When classifying benign and non-benign tumors, the AUC was 0.96, the sensitivity was 0.91, and the specificity was 0.91. When predicting malignancy and borderline tumors, the AUC was 0.91, the sensitivity was 0.98, and the specificity was 0.74. The model had an overall accuracy of 0.75 for in directly classifying the three categories of benign, malignant and borderline SOTs, and a sensitivity of 0.89 for malignant, which was better than the overall diagnostic accuracy of 0.67 and sensitivity of 0.75 for malignant of the senior ultrasonographer. Conclusion DCNN model analysis of US images can provide complementary clinical diagnostic information and is thus a promising technique for effective differentiation of benign, borderline, and malignant SOTs.
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Affiliation(s)
- Huiquan Wang
- School of Electrical and Electronic Engineering, TianGong University, Tianjin, China
| | - Chunli Liu
- School of Electrical and Electronic Engineering, TianGong University, Tianjin, China
| | - Zhe Zhao
- School of Electrical and Electronic Engineering, TianGong University, Tianjin, China
| | - Chao Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China
| | - Xin Wang
- Department of Epidemiology and Biostatistics, West China School of Public Health, Sichuan University, Chengdu, China
| | - Huiyang Li
- The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China
| | - Haixiao Wu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China
| | - Xiaofeng Liu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Chunxiang Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Lisha Qi
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Lisha Qi, ; Wenjuan Ma,
| | - Wenjuan Ma
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- The Sino-Russian Joint Research Center for Bone Metastasis in Malignant Tumor, Tianjin, China
- *Correspondence: Lisha Qi, ; Wenjuan Ma,
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7
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Cacioppa LM, Crusco F, Marchetti F, Duranti M, Renzulli M, Golfieri R. Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases. Cancer Imaging 2021; 21:58. [PMID: 34711293 PMCID: PMC8555141 DOI: 10.1186/s40644-021-00427-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 10/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Imaging findings have a prominent role in early and correct identification of ovarian dysgerminoma, the most common ovarian malignant germ cell tumor (OMGCT). Despite Computed Tomography (CT) is widely used, Magnetic Resonance Imaging (MRI) has proved to be superior in adnexal masses characterization. Limited data and small series are available concerning MRI aspects of dysgerminoma. CASE PRESENTATION From January 2012 to December 2018, a database of solid ovarian masses was retrospectively reviewed. Eight patients with histologically proven pure ovarian dysgerminoma and complete imaging available were identified and analyzed. Imaging findings were evaluated separately by two radiologists expert in female genito-urinary MRI. CONCLUSIONS MRI findings of a lobulated, purely solid, encapsulated mass with hyper-intensity of lobules and hypo-intensity of septa on T2w images contribute to differentiate dysgerminomas from other ovarian neoplasms.
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Affiliation(s)
- Laura Maria Cacioppa
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, Bologna, Italy.
| | - Federico Crusco
- Division of Radiology 1, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Francesco Marchetti
- Division of Radiology 1, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Michele Duranti
- Division of Radiology 1, S. Maria della Misericordia Hospital, Perugia, Italy
| | - Matteo Renzulli
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, Bologna, Italy
| | - Rita Golfieri
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Via Albertoni 15, Bologna, Italy
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Seo M, Choi MHDORESMHCOMTCUOKSROKCSICESMHCOMTCUOKSROK, Lee YJ, Jung SE, Rha SE. Evaluating the added benefit of CT texture analysis on conventional CT analysis to differentiate benign ovarian cysts. Diagn Interv Radiol 2021; 27:460-468. [PMID: 34313229 DOI: 10.5152/dir.2021.20225] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
PURPOSE We aimed to evaluate the benefit of adding CT texture analysis on conventional CT features of benign adnexal cystic lesions, especially in identifying mucinous cystadenoma. METHODS This retrospective study included patients who underwent surgical removal of benign ovarian cysts (44 mucinous cystadenomas, 32 serous cystadenomas, 16 follicular/simple cysts and 43 endometriotic cysts) at our institution between January 2015 and November 2017. The CT images were independently reviewed by an abdominal radiologist (reviewer 1) and a resident (reviewer 2). Both reviewers recorded the conventional characteristics and performed texture analysis. Based on reviewer 1's results, two decision trees for differential diagnosis were developed. Reviewer 2's results were then applied to the decision trees. The diagnostic performances of each reviewer with and without the decision trees were compared. RESULTS Several conventional features and texture analysis parameters showed significant differences between mucinous cystadenomas and other benign adnexal cysts. The first decision tree selected septum number and thickness as significant features, whereas the second decision tree selected septum number and the mean values at spatial scaling factor (SSF) 0. Reviewer 1's performance did not change significantly with or without the use of the decision trees. Reviewer 2's interpretations were significantly less sensitive than reviewer 1's interpretations (p = 0.001). However, when aided by the first and second decision trees, Reviewer 2's interpretations were significantly more sensitive than reviewer 1's interpretations (86.4%, p < 0.001; 72.7%, p = 0.001). CONCLUSION This study suggests the benefit of CT texture analysis on conventional images to differentiate mucinous cystadenoma from other benign adnexal cysts, particularly for less experienced radiologists.
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Affiliation(s)
- Minkook Seo
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Moon Hyung Department Of Radiology Eunpyeong St Mary's Hospital College Of Medicine The Catholic University Of Korea Seoul Republic Of Korea Catholic Smart Imaging Center Eunpyeong St Mary's Hospital College Of Medicine The Catholic University Of Korea Seoul Republic Of Korea Choi
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea;Catholic Smart Imaging Center, Eunpyeong St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Young Joon Lee
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Seung Eun Jung
- Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea;Catholic Smart Imaging Center, Eunpyeong St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Sung Eun Rha
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
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9
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Abstract
Importance Adnexal masses are identified in approximately 0.05% to 2.4% of pregnancies, and more recent data note a higher incidence due to widespread use of antenatal ultrasound. Whereas most adnexal masses are benign, approximately 1% to 6% are malignant. Proper diagnosis and management of adnexal masses in pregnancy are an important skill for obstetricians. Objective The aim of this study was to review imaging modalities for evaluating adnexal masses in pregnancy and imaging characteristics that differentiate benign and malignant masses, examine various types of adnexal masses, and understand complications of and explore management options for adnexal masses in pregnancy. Evidence Acquisition This was a literature review using primarily PubMed and Google Scholar. Results Ultrasound can distinguish between simple-appearing benign ovarian cysts and masses with more complex features that can be associated with malignancy. Radiologic information can help guide physicians toward recommending conservative management with observation or surgical removal during pregnancy to facilitate diagnosis and treatment. The risks of expectant management of an adnexal mass during pregnancy include rupture, torsion, need for emergent surgery, labor obstruction, and progression of malignancy. Historically, surgical removal was performed more routinely to avoid such complications in pregnancy; however, increasing knowledge has directed management toward conservative measures for benign masses. Surgical removal of adnexal masses is increasingly performed via minimally invasive techniques including laparoscopy and robotic surgery due to a decreased risk of surgical complications compared with laparotomy. Conclusions and Relevance Adnexal masses are increasingly identified in pregnancy because of the use of antenatal ultrasound. Clear and specific guidelines exist to help differentiate between benign and malignant masses. This is important for management as benign masses can usually be conservatively managed, whereas malignant masses require excision for diagnosis and treatment. A multidisciplinary approach, including referral to gynecologic oncology, should be used for masses with complex features associated with malignancy. Proper diagnosis and management of adnexal masses in pregnancy are an important skill for obstetricians.
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Pecorelli S, Tonegatti UG, Stern MV, Bulotta AL, Laffranchi F, Stegher C, Odicino F, Alberti D. Management of Large Pediatric and Adolescent Ovarian Neoplasms with a Leak-Proof Extracorporeal Drainage Technique: Our Experience Using a Hybrid Minimally Invasive Approach. J Pediatr Adolesc Gynecol 2021; 34:394-399. [PMID: 32828966 DOI: 10.1016/j.jpag.2020.08.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/05/2020] [Accepted: 08/07/2020] [Indexed: 12/14/2022]
Abstract
STUDY OBJECTIVE In a pediatric setting, laparoscopic management of large cystic ovarian neoplasms with low malignancy probability is not suitable, because of the mass size; nevertheless, an effort should be made to be as minimally invasive as possible, without violating the principles of oncologic surgery. We describe our experience in managing these neoplasms with leak-proof extracorporeal drainage through mini laparotomy, followed by cyst excision or oophorectomy. DESIGN Case series study, describing interventions and outcomes. SETTING Department of pediatric surgery in a tertiary pediatric and adult university hospital. PARTICIPANTS Pediatric patients affected by large cystic ovarian mass. INTERVENTIONS Hybrid minimally invasive approach using leak-proof extracorporeal drainage. MAIN OUTCOME MEASURES Data on demographic characteristics, tumor marker values, and imaging findings were collected and analyzed. Outcome of surgical technique was evaluated and reported. RESULTS Between 2011 and 2018, 17 patients (mean age, 10.2 years; range, 2-14 years) affected by large cystic ovarian mass, were eligible for this technique. All patients had negative preoperative tumor markers. Of the seventeen subjects, 13/17 girls (76%) underwent pelvic magnetic resonance imaging. No sign of lymphadenopathy or metastasis was found. Surgery was successful in all patients, with ovarian preservation in 5/17 cases (29.4%). Mean surgical time was 98 minutes; no intra-abdominal leakage of neoplasm content or postoperative complications occurred. Mature cystic teratoma was the most frequent histopathological diagnosis (71%). CONCLUSION After a thorough patient selection, the management of large cystic ovarian neoplasms with leak-proof extracorporeal drainage performed through a mini laparotomy is a feasible and safe approach, with excellent cosmetic results. When achievable, ovarian-sparing surgery has to be considered.
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Affiliation(s)
- Silvia Pecorelli
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy.
| | - Uca Giacomo Tonegatti
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | - Maria Vittoria Stern
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | - Anna Lavinia Bulotta
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy
| | | | - Claudia Stegher
- Department of Obstetrics and Gynecology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Franco Odicino
- Department of Obstetrics and Gynecology, ASST Spedali Civili Brescia, Brescia, Italy
| | - Daniele Alberti
- Department of Pediatric Surgery, "Spedali Civili" Children's Hospital, Brescia, Italy; Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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11
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Taylor EC, Irshaid L, Mathur M. Multimodality Imaging Approach to Ovarian Neoplasms with Pathologic Correlation. Radiographics 2020; 41:289-315. [PMID: 33186060 DOI: 10.1148/rg.2021200086] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Ovarian neoplasms can be categorized on the basis of histopathologic features into epithelial surface cell tumors, germ cell tumors, sex cord-stromal tumors, and metastases. While their imaging appearance is often nonspecific, it closely parallels the gross pathologic appearance, and radiologic-pathologic correlation is helpful to aid in a deeper understanding of the subtypes. Epithelial cell neoplasms are the most common category, and they can be benign, borderline, or malignant. Specific subtypes include serous (most common), mucinous, seromucinous, endometrioid, clear cell, Brenner, and undifferentiated. High-grade serous cystadenocarcinoma accounts for the majority of malignant ovarian tumors and the most ovarian cancer deaths. While serous neoplasms are often unilocular and bilateral, mucinous neoplasms are larger, unilateral, and multilocular. Solid components, thickened septa, and papillary projections, particularly with vascularity, indicate borderline or malignant varieties. Endometrioid and clear cell carcinomas can arise within endometriomas. Fibrous tumors (cystadenofibroma, adenofibroma, fibroma or fibrothecoma, and Brenner tumors) demonstrate low T2-weighted signal intensity of their solid components, while teratomas contain lipid. The nonspecific imaging appearance of additional malignant ovarian germ cell tumors can be narrowed with tumor marker profiles. Sex cord-stromal tumors are often solid, and secondary signs from their hormonal secretion can be a clue to their diagnosis. The authors review the anatomy of the ovary and distal fallopian tube, the proposed origins of the histologic subtypes of tumors, the clinical features and epidemiology of ovarian neoplasms, and the applications of US, CT, and MRI in imaging ovarian neoplasms. The main focus is on the radiologic and pathologic features of the multiple ovarian neoplasm subtypes. An algorithmic approach to the diagnosis of ovarian neoplasms is presented. Online supplemental material is available for this article. ©RSNA, 2020.
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Affiliation(s)
- Erin C Taylor
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
| | - Lina Irshaid
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
| | - Mahan Mathur
- From the Department of Radiology and Biomedical Imaging (E.C.T., M.M.) and Department of Pathology (L.I.), Yale School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520
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12
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Radiomics derived from dynamic contrast-enhanced MRI pharmacokinetic protocol features: the value of precision diagnosis ovarian neoplasms. Eur Radiol 2020; 31:368-378. [PMID: 32767049 DOI: 10.1007/s00330-020-07112-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 04/29/2020] [Accepted: 07/24/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To evaluate the efficiency of 2- and 3-class classification predictive tasks constructed from radiomics features extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) pharmacokinetic (PK) protocol in discriminating among benign, borderline, and malignant ovarian tumors. METHODS One hundred and four ovarian lesions were evaluated using preoperative DCE-MRI. Radiomics features were extracted from 7 types of DCE-MR images. To explore the differential ability of radiomics between three types of ovarian tumors, two- and three-class classification tasks were established. The 2-class classification task was divided into three subtasks: benign vs. borderline (task A), benign vs. malignant (task B), and borderline vs. malignant (task C). For the 3-class classification task, 104 lesions were randomly divided into training (72 lesions) and validation (32 lesions) cohorts. The discrimination abilities of the radiomics signatures were established with the training cohort and tested with the independent validation cohort. The predictive performance of the task was evaluated by receiver operating characteristic (ROC) curve, calibration curve analysis, and decision curve analysis (DCA). RESULTS For the 2-class classification task, the combination of PK radiomics signatures model (PK model) showed a good diagnostic ability with the highest area under the ROC curves (AUCs) of 0.899, 0.865, and 0.893 for tasks A, B, and C, respectively. Additionally, the 3-class classification task demonstrated a good discrimination performance with AUCs of 0.893, 0.944, and 0.891 for the benign, borderline, and malignant groups, respectively. CONCLUSIONS Radiomics analysis based on the DCE-MRI PK protocol showed promise for discriminating among benign, borderline, and malignant ovarian tumors. KEY POINTS • Two-class classification predictive task of DCE-MRI PK protocol enabled the classification of 3 categories of ovarian tumors through the pairwise comparison strategy with a perfect diagnostic ability. • Three-class classification predictive task maintained good performance to effectively judge each category of ovarian tumors directly.
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13
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Suh-Burgmann E, Flanagan T, Brasic N. Reservations Regarding O-RADS Recommendations. Radiology 2020; 295:248-249. [DOI: 10.1148/radiol.2020192559] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
| | | | - Natasha Brasic
- Radiology, Kaiser Permanente Northern California, 1425 S Main St, Walnut Creek, CA 94596
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14
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Stein EB, Hansen JM, Maturen KE. Fertility-Sparing Approaches in Gynecologic Oncology. Radiol Clin North Am 2020; 58:401-412. [DOI: 10.1016/j.rcl.2019.10.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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15
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Kloth C, Vogele D, Brunner H, Beer M, Schmidt SA. Pathognomonic imaging signs in abdominal radiology. Abdom Radiol (NY) 2020; 45:576-586. [PMID: 31834459 DOI: 10.1007/s00261-019-02331-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The imaging evaluation of the abdomen is of crucial importance for every radiologist. In addition to ultrasound, conventional radiographs and contrast-enhanced computed tomography (CT) are the most common imaging procedures in the abdominal region. Numerous pathognomonic signs should be known in this context by every radiologist. Radiographs of the abdomen are an often used first step in radiologic imaging, while CT examinations are carried out for further differentiation, in oncological settings and in time-critical emergency situations. A fast and clear assignment of these signs to a specific disease is the basis for a correct diagnosis. This pictorial review describes the most common pathognomonic signs in abdominal imaging. The knowledge of these pictograms is therefore essential for radiologists interested in abdominal medicine and should also be addressed in training and further education.
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Affiliation(s)
- Christopher Kloth
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
| | - Daniel Vogele
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany
| | - Horst Brunner
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany
| | - Stefan Andreas Schmidt
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081, Ulm, Germany
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16
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Nikolic O, Basta Nikolic M, Spasic A, Otero-Garcia MM, Stojanovic S. Systematic radiological approach to utero-ovarian pathologies. Br J Radiol 2019; 92:20180439. [PMID: 31169406 DOI: 10.1259/bjr.20180439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Ultrasound is the first-line imaging modality for the evaluation of suspected adnexal masses, endometriosis and uterine tumors, whereas MRI is used as a secondary diagnostic tool to better characterize these lesions. The aim of this review is to summarize the latest advances in the imaging of these utero-ovarian pathologies.
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Affiliation(s)
- Olivera Nikolic
- 1 Radiology Center, Clinical Center of Vojvodina , Novi Sad , Serbia.,2 Faculty of Medicine, University of Novi Sad , Novi Sad , Serbia
| | - Marijana Basta Nikolic
- 1 Radiology Center, Clinical Center of Vojvodina , Novi Sad , Serbia.,2 Faculty of Medicine, University of Novi Sad , Novi Sad , Serbia
| | - Aleksandar Spasic
- 1 Radiology Center, Clinical Center of Vojvodina , Novi Sad , Serbia.,2 Faculty of Medicine, University of Novi Sad , Novi Sad , Serbia
| | | | - Sanja Stojanovic
- 1 Radiology Center, Clinical Center of Vojvodina , Novi Sad , Serbia.,2 Faculty of Medicine, University of Novi Sad , Novi Sad , Serbia
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17
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Elezaby M, Lees B, Maturen KE, Barroilhet L, Wisinski KB, Schrager S, Wilke LG, Sadowski E. BRCA Mutation Carriers: Breast and Ovarian Cancer Screening Guidelines and Imaging Considerations. Radiology 2019; 291:554-569. [PMID: 31038410 DOI: 10.1148/radiol.2019181814] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Patients who carry the BRCA1 and BRCA2 gene mutations have an underlying genetic predisposition for breast and ovarian cancers. These deleterious genetic mutations are the most common genes implicated in hereditary breast and ovarian cancers. This monograph summarizes the evidence behind current screening recommendations, reviews imaging protocols specific to this patient population, and illustrates some of the imaging nuances of breast and ovarian cancers in this clinical setting.
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Affiliation(s)
- Mai Elezaby
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Brittany Lees
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Katherine E Maturen
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Lisa Barroilhet
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Kari B Wisinski
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Sarina Schrager
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Lee G Wilke
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
| | - Elizabeth Sadowski
- From the Department of Radiology (M.E., E.S.), Department of Obstetrics and Gynecology (B.L., E.S.), Division of Gynecologic Oncology (L.B.), Department of Medicine (K.B.W.), Carbone Comprehensive Cancer Center (K.B.W.), Department of Family Medicine and Community Health (S.S.), and Department of Surgery (L.G.W.), University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology and Department of Obstetrics and Gynecology, University of Michigan Medical Center, Ann Arbor, Mich (K.E.M.)
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Abstract
Endometriosis is a common disease of reproductive-age women that is often first encountered with ultrasound. Therefore, familiarity with the variety of manifestations of endometriosis is important for appropriate diagnosis and management. The aim of this article is to review the spectrum of appearance of pelvic endometriosis and to discuss potential mimics on ultrasound. Given that magnetic resonance imaging is an important problem-solving tool in female pelvic imaging, magnetic resonance imaging correlation is also provided.
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19
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Pereira PN, Sarian LO, Yoshida A, Araújo KG, Barros RHO, Baião AC, Parente DB, Derchain S. Accuracy of the ADNEX MR scoring system based on a simplified MRI protocol for the assessment of adnexal masses. ACTA ACUST UNITED AC 2018; 24:63-71. [PMID: 29467113 DOI: 10.5152/dir.2018.17378] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
PURPOSE We aimed to evaluate the ADNEX MR scoring system for the prediction of adnexal mass malignancy, using a simplified magnetic resonance imaging (MRI) protocol. METHODS In this prospective study, 200 patients with 237 adnexal masses underwent MRI between February 2014 and February 2016 and were followed until February 2017. Two radiologists calculated ADNEX MR scores using an MRI protocol with a simplified dynamic study, not a high temporal resolution study, as originally proposed. Sensitivity, specificity, positive and negative predictive values, likelihood ratios, and the area under the receiver operating characteristic curve were calculated (cutoff for malignancy, score ≥ 4). The reference standard was histopathologic diagnosis or imaging findings during >12 months of follow-up. RESULTS Of 237 lesions, 79 (33.3%) were malignant. The ADNEX MR scoring system, using a simplified MRI protocol, showed 94.9% (95% confidence interval [CI], 87.5%-98.6%) sensitivity and 97.5% (95% CI, 93.6%-99.3%) specificity in malignancy prediction; it was thus highly accurate, like the original system. The level of interobserver agreement on simplified scoring was high (κ = 0.91). CONCLUSION In a tertiary cancer center, the ADNEX MR scoring system, even based on a simplified MRI protocol, performed well in the prediction of malignant adnexal masses. This scoring system may enable the standardization of MRI reporting on adnexal masses, thereby improving communication between radiologists and gynecologists.
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Affiliation(s)
- Patrick N Pereira
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil; Section of Imaginology, Sumaré State Hospital, Sumaré, São Paulo, Brazil
| | - Luis O Sarian
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil
| | - Adriana Yoshida
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil
| | - Karla G Araújo
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil
| | - Ricardo H O Barros
- Section of Imaginology, Sumaré State Hospital, Sumaré, São Paulo, Brazil
| | - Ana C Baião
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil
| | - Daniella B Parente
- Department of Radiology, Federal University of Rio de Janeiro National Faculty of Medicine, Rio de Janeiro, RJ, Brazil
| | - Sophie Derchain
- Department of Obstetrics and Gynecology,State University of Campinas-Unicamp, Campinas Faculty of Medical Sciences, São Paulo, Brazil
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20
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Affiliation(s)
- Hao Xiang
- Department of Radiology, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Jason Han
- Department of Radiology, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | | | - Lloyd J Ridley
- Department of Radiology, Concord Repatriation General Hospital, Concord, New South Wales, Australia.,Medical Imaging, University of Sydney, Sydney, New South Wales, Australia
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The utility of magnetic resonance imaging in the diagnosis and management of pediatric benign ovarian lesions. J Pediatr Surg 2018; 53:2013-2018. [PMID: 29433795 DOI: 10.1016/j.jpedsurg.2017.12.028] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 12/27/2017] [Accepted: 12/29/2017] [Indexed: 02/02/2023]
Abstract
BACKGROUND The utility of magnetic resonance imaging (MRI) in the diagnosis and management of pediatric ovarian lesions has not been well defined. METHODS A retrospective review of all girls who underwent MRI evaluation of ovarian masses during the period 2009-2015 was performed. The accuracy of MRI was evaluated by comparing results with surgical findings, pathology reports, and subsequent imaging. The influence of the MRI on the treatment plan was specifically explored. RESULTS Eighteen girls, 12-17years of age, underwent 27 MRIs, subsequent to ultrasound identification of ovarian lesions. Of 9 neoplastic lesions diagnosed on MRI, 8 (89%) were confirmed by surgical and pathological findings. Of 18 functional lesions, 17 (94.4%) were confirmed pathologically or by resolution on subsequent imaging. Twenty MRI exams (74%) directly influenced the treatment plan, by leading to appropriate operative intervention in 9 and appropriate observation in 11. The extent of ovarian resection was guided by MRI findings in 8 of 9 (89%) neoplastic lesions. For characterizing lesions as neoplastic, the sensitivity, specificity, negative predictive value, positive predictive value, and accuracy of MRI were 89%, 94%, 94%, 89%, and 93% respectively. CONCLUSIONS MRI can differentiate functional from neoplastic pediatric ovarian masses, and guide ovarian resection in appropriate cases. LEVEL OF STUDY II.
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22
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Tantawy MSI, Elrakhawy MM, El-Morsy A, Saleh GA. DWI in characterization of complex ovarian masses, would it help? THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2018. [DOI: 10.1016/j.ejrnm.2018.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
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23
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Adnexal lesions: Imaging strategies for ultrasound and MR imaging. Diagn Interv Imaging 2018; 100:635-646. [PMID: 30177450 DOI: 10.1016/j.diii.2018.06.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Accepted: 06/12/2018] [Indexed: 11/24/2022]
Abstract
Adnexal lesions are routinely encountered in general practice. Ultrasound is the first line of investigation in determining the benign or malignant potential of an adnexal lesion. In the cases of classic simple cysts, hemorrhagic cysts, endometriomas, dermoids and obviously malignant lesions, ultrasound may be sufficient for management recommendations. In cases where there is an isolated adnexal lesion, without peritoneal disease or serum CA-125 elevation, and in lesions considered indeterminate on ultrasound, MR imaging with incorporation of the ADNEx MR score can increase the specificity for the diagnosis of benignity or malignancy. This article will review the imaging evaluation of adnexal lesions and how to incorporate the ADNEx MR score to help guide clinical management.
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Bhargava P, Haque K, Vea R, Turbat-Herrera E, Chu Q, Sangster G, D'Agostino H. Parasitic leiomyoma presenting as an inguinal hernia in a postmenopausal woman. Radiol Case Rep 2018; 13:767-771. [PMID: 29887930 PMCID: PMC5991889 DOI: 10.1016/j.radcr.2018.04.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 04/08/2018] [Indexed: 12/03/2022] Open
Abstract
Uterine leiomyomas are one of the most common tumors affecting reproductive-age women. Leiomyomas can present as an intrauterine mass or rarely as an extrauterine tumor. Depending on its location, the diagnosis of extrauterine leiomyoma can be challenging, and multiple imaging modalities may be needed for correct identification and differentiation from malignant entities. We report the case of a 48-year-old-postmenopausal female who presented with a painful left inguinal mass, which was clinically diagnosed as inguinal hernia. Ultrasound, computed tomography, magnetic resonance imaging, and percutaneous biopsy were used to characterize the mass. Surgical resection and histopathological analysis revealed the mass to be a parasitic leiomyoma, a very rare cause of inguinal hernia, especially in a postmenopausal woman.
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Affiliation(s)
- Peeyush Bhargava
- Department of Radiology, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Kabiul Haque
- Department of Family Medicine, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Romulo Vea
- Department of Radiology, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Elba Turbat-Herrera
- Department of Pathology, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Quyen Chu
- Department of Surgery, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Guillermo Sangster
- Department of Radiology, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
| | - Horacio D'Agostino
- Department of Radiology, LSU Health, 1501 Kings Hwy, Shreveport, LA 71103, USA
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A systematic approach to adnexal masses discovered on ultrasound: the ADNEx MR scoring system. Abdom Radiol (NY) 2018; 43:679-695. [PMID: 28900696 DOI: 10.1007/s00261-017-1272-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Adnexal lesions are a common occurrence in radiology practice and imaging plays a crucial role in triaging women appropriately. Current trends toward early detection and characterization have increased the need for accurate imaging assessment of adnexal lesions prior to treatment. Ultrasound is the first-line imaging modality for assessing adnexal lesions; however, approximately 20% of lesions are incompletely characterized after ultrasound evaluation. Secondary assessment with MR imaging using the ADNEx MR Scoring System has been demonstrated as highly accurate in the characterization of adnexal lesions and in excluding ovarian cancer. This review will address the role of MR imaging in further assessment of adnexal lesions discovered on US, and the utility of the ADNEx MR Scoring System.
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Anastasi E, Gigli S, Ballesio L, Angeloni A, Manganaro L. The Complementary Role of Imaging and Tumor Biomarkers
in Gynecological Cancers: An Update of the Literature. Asian Pac J Cancer Prev 2018; 19:309-317. [PMID: 29479951 PMCID: PMC5980913 DOI: 10.22034/apjcp.2018.19.2.309] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Gynecological tumors, including endometrial, cervical and ovarian cancer, have increased in incidence over time. The widespread introduction of screening programs and advances in diagnostic imaging methods has lead to a progressive increase in gynecological cancer detection. Accurate diagnosis and proper monitoring of disease remain the primary target for a successful treatment. In the last years, knowledge about cancer biomarkers has considerably increased providing great opportunities for improving cancer detection and treatment. In addition, in the last few years there has been an important development of imaging techniques. Nowadays, a multimodal approach including the evaluation of serum tumor biomarkers combined with imaging techniques, seems to be the best strategy for assessing tumor presence, spread, recurrence, and/or the response to treatment in female cancer patients In this review we provide an overview of the application of biomarkers combined with novel imaging methods and highlight their roles in female cancer diagnosis and follow-up.
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Affiliation(s)
- Emanuela Anastasi
- Department of Molecular Medicine, Sapienza University, Viale Regina Elena 324, 00161 Roma, Italy.
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Sadowski EA, Paroder V, Patel-Lippmann K, Robbins JB, Barroilhet L, Maddox E, McMahon T, Sampene E, Wasnik AP, Blaty AD, Maturen KE. Indeterminate Adnexal Cysts at US: Prevalence and Characteristics of Ovarian Cancer. Radiology 2018; 287:1041-1049. [PMID: 29480762 DOI: 10.1148/radiol.2018172271] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To assess the prevalence of indeterminate adnexal cysts in women presenting to academic medical centers for pelvic ultrasonography (US), determine the incidence of malignancy, and identify cyst and patient characteristics that are predictive of malignancy. Materials and Methods A multicenter study of US-detected adnexal cysts with appropriate follow-up (surgical pathologic examination, imaging and/or clinical examination) was conducted from January 2008 to June 2012. Indeterminate cysts were classified as category 1 (typical benign appearing cysts >5 cm) or category 2 (cysts with avascular solid components) on the basis of a combination of definitions in the existing literature. The incidence of neoplasms and malignant tumors was calculated. Patient and cyst characteristics associated with neoplasm and malignant tumors were evaluated with the χ2 test or Fisher exact test for categorical variables and the t test for continuous variables. A backward stepwise logistic regression model was performed for two outcomes: (a) the presence of any neoplasm (benign or malignant) and (b) the presence of a malignant tumor. Results There were 1637 women with an adnexal cyst at US; 391 (mean age = 41.8 years ± 13.5.1; range = 17-91 years) had an indeterminate adnexal cyst at US. The prevalence of indeterminate adnexal cysts was 23.9% (391 of 1637; 95% confidence interval [CI]: 0.22, 0.26). Three hundred three indeterminate cysts in 280 women (mean age = 42.9 years ± 14.1; range = 17-88 years) had adequate follow-up. The incidence of ovarian neoplasms (benign and malignant) was 24.8% (75 of 303 cysts; 95% CI: 0.20, 0.30), and the incidence of malignant tumors was 3.6% (11 of 303 cysts; 95% CI: 0.02, 0.06). The proportion of ovarian neoplasms differed between category 1 and category 2 cysts (17.5% [25 of 143 cysts; 95% CI: 0.12, 0.25] vs 31.3% [50 of 160 cysts; 95% CI: 0.24, 0.39], respectively; P = .001). The proportion of malignant tumors differed between categories 1 and 2 cysts (0% [0 of 143 cysts] vs 6.9% [11 of 160 cysts; 95% CI: 0.03, 0.12]; P < .001). The presence of an avascular nodular component was a significant predictor of malignancy at stepwise logistic regression analysis (odds ratio = 2.83; P ≤ .0001; 95% CI: 1.69, 4.70). Conclusion The presence of an avascular nodular component was the most significant predictor of the presence of malignancy in indeterminate adnexal cysts. The risk of malignancy is higher with category 2 cysts than with category 1 cysts. © RSNA, 2018.
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Affiliation(s)
- Elizabeth A Sadowski
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Viktoriya Paroder
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Krupa Patel-Lippmann
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Jessica B Robbins
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Lisa Barroilhet
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Elizabeth Maddox
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Timothy McMahon
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Emmanuel Sampene
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Ashish P Wasnik
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Alexander D Blaty
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
| | - Katherine E Maturen
- From the Departments of Radiology (E.A.S., J.B.R., E.M.), Obstetrics and Gynecology (E.A.S., L.B.), and Biostatistics and Medical Informatics (E.S.), University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/372, 600 Highland Ave, Madison, WI 53792-3252; Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (V.P., T.M.); Department of Radiology, Vanderbilt University Medical Center, Nashville, Tenn (K.P.L.); Department of Radiology (A.P.W., A.D.B., K.E.M.) and Department of Obstetrics and Gynecology (K.E.M.), University of Michigan Health System, Ann Arbor, Mich
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Balaya V, Metzger U, Denet C, Herry M, Lecuru F. Isolated fallopian tube metastasis from colorectal cancer: ultrasonographic features. J Ultrasound 2018; 21:69-75. [PMID: 29374394 DOI: 10.1007/s40477-017-0258-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Accepted: 05/31/2017] [Indexed: 11/26/2022] Open
Abstract
We present here the first-reported case of tubal metastasis from colorectal cancer diagnosed by a preoperative pelvic ultrasound. A 53-year-old woman suffering from vaginal discharge was referred to us 2 years after she underwent a partial colectomy for adenocarcinoma. The pelvic ultrasound examination revealed a right pelvic mass of 52 × 24 × 38 mm, independent of the right ovary, which was apparently unaffected. A right salpingo-oophorectomy was performed and the definitive histopathology examination showed a recurrence of the initial adenocarcinoma with a right tubal metastasis. The eventuality of such an unusual site of metastasis should be remembered.
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Affiliation(s)
- V Balaya
- Service de Chirurgie cancérologique, gynécologique et du sein, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75908, Paris Cedex 15, France.
- URDIA Anatomie EA 4465, 45, Rue des Saints-Pères, 75006, Paris, France.
- Faculté de médecine, Université Paris Descartes, 15 rue de l'Ecole de Médecine, 75006, Paris, France.
| | - U Metzger
- Service de Chirurgie cancérologique, gynécologique et du sein, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75908, Paris Cedex 15, France
| | - C Denet
- Service de Chirurgie générale et digestive, Institut Mutualiste de Montsouris, 42 Boulevard Jourdan, 75014, Paris, France
| | - M Herry
- Service de Chirurgie gynécologique, Institut Mutualiste de Montsouris, 42 Boulevard Jourdan, 75014, Paris, France
| | - F Lecuru
- Service de Chirurgie cancérologique, gynécologique et du sein, Hôpital Européen Georges Pompidou, 20 rue Leblanc, 75908, Paris Cedex 15, France
- Faculté de médecine, Université Paris Descartes, 15 rue de l'Ecole de Médecine, 75006, Paris, France
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29
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Maturen KE, Blaty AD, Wasnik AP, Patel-Lippmann K, Robbins JB, Barroilhet L, Huffman LB, Sadowski EA. Risk Stratification of Adnexal Cysts and Cystic Masses: Clinical Performance of Society of Radiologists in Ultrasound Guidelines. Radiology 2017; 285:650-659. [DOI: 10.1148/radiol.2017161625] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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30
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McEvoy SH, Nougaret S, Abu-Rustum NR, Vargas HA, Sadowski EA, Menias CO, Shitano F, Fujii S, Sosa RE, Escalon JG, Sala E, Lakhman Y. Fertility-sparing for young patients with gynecologic cancer: How MRI can guide patient selection prior to conservative management. Abdom Radiol (NY) 2017; 42:2488-2512. [PMID: 28528388 PMCID: PMC5857967 DOI: 10.1007/s00261-017-1179-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Historically, cancer treatment has emphasized measures for the "cure" regardless of the long-term consequences. Advances in cancer detection and treatment have resulted in improved outcomes bringing to the fore various quality of life considerations including future fertility. For many young cancer patients, fertility preservation is now an integral component of clinical decision-making and treatment design. Optimal fertility-sparing options for young patients with gynecologic cancer are influenced by patient age, primary cancer, treatment regimens, and patient preferences. Possible approaches include embryo or oocyte cryopreservation, ovarian transposition, conservative surgery, and conservative medical treatment to delay radical surgery. These may be used alone or in combination to maximize fertility preservation. Awareness of the various fertility-sparing options, eligibility criteria, and the central role of magnetic resonance imaging in the proper selection of patients will enable radiologists to produce complete clinically relevant imaging reports and serve as effective consultants to referring clinicians. Knowledge of the potential imaging pitfalls is essential to avoid misinterpretation and guide appropriate management.
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Affiliation(s)
- Sinead H McEvoy
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Radiology, The Christie NHS Foundation, 550 Wilmslow Rd, Manchester, M20 4BX, UK.
| | - Stephanie Nougaret
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Institut Régional du Cancer de Montpellier, Montpellier, France
- IRCM, Institut de Recherche en Cancérologie de Montpellier, INSERM, U1194, Montpellier, France
| | - Nadeem R Abu-Rustum
- Gynecologic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Fuki Shitano
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinya Fujii
- Division of Radiology, Department of Pathophysiological and Therapeutic Science, Faculty of Medicine, Tottori University, Yonago, Japan
| | - Ramon E Sosa
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joanna G Escalon
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, New York-Presbyterian Hospital-Weill Cornell Medical Center, New York, NY, USA
| | - Evis Sala
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yulia Lakhman
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
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Fathi Kazerooni A, Nabil M, Haghighat Khah H, Alviri M, Heidari-Sooreshjaani M, Gity M, Malek M, Saligheh Rad H. ADC-derived spatial features can accurately classify adnexal lesions. J Magn Reson Imaging 2017; 47:1061-1071. [PMID: 28901638 DOI: 10.1002/jmri.25854] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 08/29/2017] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The role of quantitative apparent diffusion coefficient (ADC) maps in differentiating adnexal masses is unresolved. PURPOSE/HYPOTHESIS To propose an objective diagnostic method devised based on spatial features for predicting benignity/malignancy of adnexal masses in ADC maps. STUDY TYPE Prospective. POPULATION In all, 70 women with sonographically indeterminate and histopathologically confirmed adnexal masses (38 benign, 3 borderline, and 29 malignant) were considered for this study. FIELD STRENGTH/SEQUENCE Conventional and diffusion-weighted magnetic resonance (MR) images (b-values = 50, 400, 1000 s/mm2 ) were acquired on a 3T scanner. ASSESSMENT For each patient, two radiologists in consensus manually delineated lesion borders in whole ADC map volumes, which were consequently analyzed using spatial models (first-order histogram [FOH], gray-level co-occurrence matrix [GLCM], run-length matrix [RLM], and Gabor filters). Two independent radiologists were asked to identify the attributed (benign/malignant) classes of adnexal masses based on morphological features on conventional MRI. STATISTICAL TESTS Leave-one-out cross-validated feature selection followed by cross-validated classification were applied to the feature space to choose the spatial models that best discriminate benign from malignant adnexal lesions. Two schemes of feature selection/classification were evaluated: 1) including all benign and malignant masses, and 2) scheme 1 after excluding endometrioma, hemorrhagic cysts, and teratoma (14 benign, 29 malignant masses). The constructed feature subspaces for benign/malignant lesion differentiation were tested for classification of benign/borderline/malignant and also borderline/malignant adnexal lesions. RESULTS The selected feature subspace consisting of RLM features differentiated benign from malignant adnexal masses with a classification accuracy of ∼92%. The same model discriminated benign, borderline, and malignant lesions with 87% and borderline from malignant with 100% accuracy. Qualitative assessment of the radiologists based on conventional MRI features reached an accuracy of 80%. DATA CONCLUSION The spatial quantification methodology proposed in this study, which works based on cellular distributions within ADC maps of adnexal masses, may provide a helpful computer-aided strategy for objective characterization of adnexal masses. LEVEL OF EVIDENCE 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:1061-1071.
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Affiliation(s)
- Anahita Fathi Kazerooni
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Iran.,Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Iran
| | - Mahnaz Nabil
- Department of Mathematics, Islamic Azad University, Qazvin Branch, Qazvin, Iran
| | - Hamidreza Haghighat Khah
- Department of Diagnostic Imaging, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Alviri
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Iran
| | | | - Masoumeh Gity
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.,Department of Radiology, Medical Imaging Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.,Department of Radiology, Medical Imaging Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Iran.,Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Iran
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Gil R, Cunha TM, Rolim I. Mature cystic teratoma with high proportion of solid thyroid tissue: a controversial case with unusual imaging findings. J Radiol Case Rep 2017; 11:20-30. [PMID: 29299099 PMCID: PMC5743149 DOI: 10.3941/jrcr.v11i7.2853] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
We describe a case of a mature cystic teratoma of the ovary with high proportion of solid thyroid tissue (< 50% of the entire tumor) in a childbearing woman. The patient presented with non-specific abdominal bloating. Pelvic ultrasound and magnetic resonance imaging revealed a complex cystic-solid tumor confined to the left ovary with an anterior fat-containing locus compatible with mature cystic teratoma and a posterior predominantly solid component with low signal intensity on T2-weighted images that was histopatologically diagnosed as benign thyroid tissue. Thyroglobulin levels were in normal range. Although thyroid tissue is present in up to 20% of mature cystic teratomas, with exception of struma ovarii, it is not usually macroscopically nor radiologically identified. The differential diagnosis should include T2-hypointense adnexal lesions associated with mature cystic teratoma, malignant transformation of mature teratoma, and immature teratoma.
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Affiliation(s)
- Rui Gil
- Serviço de Radiologia, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisboa, Portugal
| | - Teresa Margarida Cunha
- Serviço de Radiologia, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisboa, Portugal
| | - Ines Rolim
- Serviço de Anatomia Patológica, Instituto Portugues de Oncologia de Lisboa Francisco Gentil, Lisboa, Portugal
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Abstract
Adnexal masses (ie, masses of the ovary, fallopian tube, or surrounding tissues) commonly are encountered by obstetrician-gynecologists and often present diagnostic and management dilemmas. Most adnexal masses are detected incidentally on physical examination or at the time of pelvic imaging. Less commonly, a mass may present with symptoms of acute or intermittent pain. Management decisions often are influenced by the age and family history of the patient. Although most adnexal masses are benign, the main goal of the diagnostic evaluation is to exclude malignancy. The purpose of this document is to provide guidelines for the evaluation and management of adnexal masses in adolescents, pregnant women, and nonpregnant women and to outline criteria for the identification of adnexal masses that are likely to be malignant and may warrant referral to or consultation with a gynecologic oncologist.
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Fathi Kazerooni A, Nabil M, Haghighat Khah H, Parviz S, Gity M, Saligheh Rad H. A one-step biomarker quantification methodology for DCE-MRI of adnexal masses: Capturing kinetic pattern from early to late enhancement. Magn Reson Med 2017; 79:1165-1171. [DOI: 10.1002/mrm.26743] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 03/31/2017] [Accepted: 04/12/2017] [Indexed: 12/13/2022]
Affiliation(s)
- Anahita Fathi Kazerooni
- Quantitative MR Imaging and Spectroscopy Group; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences; Tehran Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Tehran Iran
| | - Mahnaz Nabil
- Department of Statistics; Faculty of Mathematical Sciences, University of Guilan; Rasht Iran
| | - Hamidreza Haghighat Khah
- Department of Diagnostic Imaging; Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences; Tehran Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center; Tehran University of Medical Sciences; Tehran Iran
| | - Masoumeh Gity
- Advanced Diagnostic and Interventional Radiology Research Center; Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group; Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences; Tehran Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Tehran Iran
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Stein EB, Wasnik AP, Sciallis AP, Kamaya A, Maturen KE. MR Imaging-Pathologic Correlation in Ovarian Cancer. Magn Reson Imaging Clin N Am 2017; 25:545-562. [PMID: 28668159 DOI: 10.1016/j.mric.2017.03.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
There are many ovarian cancer subtypes, giving rise to a range of appearances at gross pathology and magnetic resonance (MR) imaging. Certain fundamental concepts at MR, arising from underlying tissue characteristics, can provide guidance to radiologists in suggesting a diagnosis. The ability of multiparametric MR to risk stratify ovarian masses can contribute substantially to clinical decision making and patient management.
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Affiliation(s)
- Erica B Stein
- Department of Radiology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA; Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop Street, Pittsburgh, PA 15213, USA.
| | - Ashish P Wasnik
- Department of Radiology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Andrew P Sciallis
- Department of Pathology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Aya Kamaya
- Department of Radiology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA
| | - Katherine E Maturen
- Department of Radiology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA; Department of Obstetrics & Gynecology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA
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Gangadhar K, Mahajan A, Sable N, Bhargava P. Magnetic Resonance Imaging of Pelvic Masses: A Compartmental Approach. Semin Ultrasound CT MR 2016; 38:213-230. [PMID: 28705369 DOI: 10.1053/j.sult.2016.11.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Magnetic resonance imaging (MRI) is often "one stop shop" for evaluating female pelvic masses that helps in diagnosis, staging, and restaging of these tumors. A pelvic mass can arise from any tissue present within the pelvis. Although most masses in the female pelvis arise from the reproductive organs, masses may also arise from the gastrointestinal tract, urinary system, adjacent soft tissues, peritoneum, etc. It may not always be possible to determine the site of origin or distinguish these masses based on imaging characteristics. However, familiarity with the clinicopathologic and MRI features of most common pelvic masses helps in narrowing the differential diagnosis. Diagnosis of these masses needs a holistic approach as required for any tumor including clinical history, laboratory data, and imaging characteristics. We focus on MRI characteristics of commonly encountered pelvic masses. A compartmental imaging approach is discussed in this article that helps in identifying and characterizing these masses.
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Affiliation(s)
- Kiran Gangadhar
- Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | | | - Nilesh Sable
- Department of Radiology, Tata Memorial Hospital, Mumbai, India
| | - Puneet Bhargava
- Department of Radiology, University of Washington School of Medicine, Seattle, WA.
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Meissnitzer M, Meissnitzer T, Forstner R. [Gynecological tumors of the true pelvis: Radiological diagnosis for pelvic tumors made simple]. Radiologe 2016; 55:1117-30; quiz 1131. [PMID: 26610683 DOI: 10.1007/s00117-015-0045-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Tumors of the reproductive organs are among the most common female tumors. Computed tomography (CT) and magnetic resonance imaging (MRI) are used for establishing the differential diagnosis, for staging and increasingly for treatment stratification. Sonography is the first line imaging modality for assessing benign and malignant tumors of the uterus as well as ovarian and adnexal lesions. In sonographically indeterminate masses MRI is used for clarification as it allows not only a prediction of the dignity but also in most cases a specific diagnosis. The MRI examination is also superior to CT in the assessment of tumors resembling benign pelvic lesions. Whereas MRI has become established as the modality of choice for local staging and treatment planning in cancers of the uterine cervix and endometrial cancer, CT is used for staging of ovarian cancer due to the propensity for peritoneal spread outside the pelvis at the time of initial diagnosis.
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Affiliation(s)
- M Meissnitzer
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich
| | - T Meissnitzer
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich
| | - R Forstner
- Universitätsinstitut für Radiologie, Landeskrankenhaus Salzburg, Paracelsus Medizinische Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Österreich.
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Kazerooni AF, Malek M, Haghighatkhah H, Parviz S, Nabil M, Torbati L, Assili S, Saligheh Rad H, Gity M. Semiquantitative dynamic contrast-enhanced MRI for accurate classification of complex adnexal masses. J Magn Reson Imaging 2016; 45:418-427. [DOI: 10.1002/jmri.25359] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2016] [Accepted: 06/10/2016] [Indexed: 12/12/2022] Open
Affiliation(s)
- Anahita Fathi Kazerooni
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Iran
| | - Mahrooz Malek
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
| | - Hamidreza Haghighatkhah
- Department of Diagnostic Imaging; Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences; Tehran Iran
| | - Sara Parviz
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
| | - Mahnaz Nabil
- Department of Mathematics; Islamic Azad University, Qazvin Branch; Qazvin Iran
| | - Leila Torbati
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
| | - Sanam Assili
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
| | - Hamidreza Saligheh Rad
- Quantitative MR Imaging and Spectroscopy Group (QMISG), Research Center for Molecular and Cellular Imaging (RCMCI), Tehran University of Medical Sciences; Iran
- Department of Medical Physics and Biomedical Engineering; School of Medicine, Tehran University of Medical Sciences; Iran
| | - Masoumeh Gity
- Advanced Diagnostic and Interventional Radiology Research Center (ADIR); Tehran University of Medical Sciences; Tehran Iran
- Department of Radiology; Medical Imaging Center, Tehran University of Medical Sciences; Tehran Iran
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Kovač JD, Terzić M, Mirković M, Banko B, Đikić-Rom A, Maksimović R. Endometrioid adenocarcinoma of the ovary: MRI findings with emphasis on diffusion-weighted imaging for the differentiation of ovarian tumors. Acta Radiol 2016; 57:758-66. [PMID: 26307063 DOI: 10.1177/0284185115599805] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2015] [Accepted: 07/15/2015] [Indexed: 12/19/2022]
Abstract
BACKGROUND Preoperative differentiation of ovarian malignant tumors still remains a challenge. Diffusion-weighted imaging (DWI) provides information about cellularity of the lesion and might facilitate discrimination between different malignant ovarian lesions. PURPOSE To evaluate magnetic resonance imaging (MRI) findings of endometrioid adenocarcinoma of the ovary and to determine the value of DWI in the differential diagnosis of malignant and benign adnexal tumors. MATERIAL AND METHODS The following MRI findings were reviewed in 162 patients (21 endometrioid adenocarcinoma, 103 other malignant tumors, 38 benign tumors): lesion size, morphological appearance, T2-weighted (T2W) signal intensity, T1-weighted (T1W) signal intensity, contrast-enhancement pattern, DWI signals with apparent diffusion coefficient (ADC) calculated for b = 800 s/mm(2) in solid tumor components. RESULTS The most common morphological appearance was predominantly cystic lesion, found in 90.3% of patients with endometriod adenocarcinoma. The solid parts were slightly hyperintense on T2W images in 19 patients with marked enhancement after contrast administration. No significant difference (P = 0.13) in conventional MRI features was found between endometrioid adenocarcinoma and other malignant ovarian tumors. Hyperintensity on DWI was more frequently observed in malignant tumors than in benign lesions (P < 0.001). ADC values were significantly lower in endometrioid adenocarcinoma than other malignant tumors (0.79 ± 0.21 vs. 0.90 ± 0.19; P = 0.04) and in all malignant lesions compared with benign tumors (0.88 ± 0.31 vs. 1.33 ± 0.17; P < 0.001). CONCLUSION DWI with ADC measurement could indicate the presence of endometrioid adenocarcinomas due to a slightly but significantly lower ADC values compared to other malignant ovarian lesions. Thus, DWI is beneficial and should be part of a standard protocol for the evaluation of indeterminate adnexal lesions.
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Affiliation(s)
- Jelena Djokić Kovač
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Milan Terzić
- Clinic for Gynecology and Obstetrics, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Milan Mirković
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Bojan Banko
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Aleksandra Đikić-Rom
- Pathology Department, First Surgical Clinic, Clinical Center of Serbia, Belgrade, Serbia
| | - Ružica Maksimović
- Center for Radiology and Magnetic Resonance Imaging, Clinical Center of Serbia, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
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Iftikhar H, Idu S, Omer A. Teratodermoid mimicking cholecystitis. Clin Case Rep 2016; 4:494-8. [PMID: 27190615 PMCID: PMC4856244 DOI: 10.1002/ccr3.554] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 06/01/2015] [Accepted: 08/13/2015] [Indexed: 11/16/2022] Open
Abstract
An acute abdomen assessment in pregnancy is complicated. Pain can have obstetric and nonobstetric causes. Cholecystitis is a common cause of pain in pregnancy with significant morbidity if not managed promptly. We report a case of a ruptured, torted, right ovarian teratodermoid erroneously diagnosed as cholecystitis in pregnancy.
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Affiliation(s)
- Hina Iftikhar
- Surgery Ipswich Hospital NHS trust Ipswich Suffolk UK
| | - Shareen Idu
- Surgery Ipswich Hospital NHS trust Ipswich Suffolk UK
| | - Abdel Omer
- Surgery Ipswich Hospital NHS trust Ipswich Suffolk UK
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Abstract
The adnexal mass in a postmenopausal patient poses an important diagnostic and management dilemma for primary care providers and gynecologists. Postmenopausal women are at a significantly increased risk of gynecologic malignancy; yet even in this population the majority of adnexal masses are benign. Evaluation and management of these lesions centers on the identification of malignancy, especially ovarian cancer, while avoiding unnecessary intervention in patients with benign lesions. Tumor markers and imaging can help in the evaluation of adnexal mass in postmenopausal women. Transvaginal ultrasound has long been considered the imaging modality of choice for the evaluation of adnexal masses. Particularly in the setting of high frequency utilization of transvaginal probes, which project high quality images allowing for detailed descriptions of the macroscopic appearance of the mass, and remains the least expensive of all imaging modalities currently available. For adnexal masses that are highly suspicious for cancer, women should be referred a gynecologic oncologist and facility for optimal care.
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Balaya V, Metzger U, Lecuru F. [Ultrasonographic features in the preoperative diagnosis of primitive fallopian tube carcinoma]. JOURNAL DE GYNECOLOGIE, OBSTETRIQUE ET BIOLOGIE DE LA REPRODUCTION 2015; 45:11-20. [PMID: 26183176 DOI: 10.1016/j.jgyn.2015.06.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Revised: 05/14/2015] [Accepted: 06/09/2015] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To review the characteristic ultrasound features of primary fallopian tube carcinoma (PFTC) and its relationship to the clinical history in order to establish specific findings useful for the preoperative diagnosis. METHOD An extensive review of the current literature was done on Medline via PubMed by using the following keywords: "primary fallopian tube cancer", "tubal cancer", "adnexal malignancy mass" and "ultrasound". RESULTS PFTC corresponds to complex, sausage-shaped structures or cystic adnexal masses. A thick and an irregular capsule are in favour of a malignant lesion. Three-dimensional ultrasound is superior to 2D ultrasound for the detection of tubal wall irregularities such as papillary projections or pseudosepta who were suggestive of tubal malignancy and allows a better assessment of the extent of tumor infiltration through the capsule. Neovascularization with low resistance indices are typical of tubal malignancy. Three-dimensional power Doppler sonography acutely detected structural abnormalities of the malignant tumor vessels which are randomly dispersed within the papillary projections. Intra-uterine collection and peritumoral fluid are often found but ascite could be also an indirect proof of peritoneal carcinosis. CONCLUSION Sausage-shaped structures or cystic adnexal masses associated with imaging findings such as papillary projections and neovascularization with low resistance indices are in favour of PFTC. A standardized terminology, high-frequency and 3D power Doppler could improve diagnostic performance by allowing a better assessment of tubal wall and chaotic vessels architecture of these tumors.
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Affiliation(s)
- V Balaya
- Service de chirurgie cancérologique-gynécologique et du sein, hôpital européen Georges-Pompidou (HEGP), 20, rue Leblanc, 75908 Paris cedex 15, France; URDIA EA 4465, département d'anatomie, UFR biomédicale des Saints-Pères, 45, rue des Saints-Pères, 75006 Paris, France.
| | - U Metzger
- Service de chirurgie cancérologique-gynécologique et du sein, hôpital européen Georges-Pompidou (HEGP), 20, rue Leblanc, 75908 Paris cedex 15, France
| | - F Lecuru
- Service de chirurgie cancérologique-gynécologique et du sein, hôpital européen Georges-Pompidou (HEGP), 20, rue Leblanc, 75908 Paris cedex 15, France
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Correlation of Pelvic Magnetic Resonance Imaging Diagnosis With Pathology for Indeterminate Adnexal Masses. Int J Gynecol Cancer 2014; 24:1215-21. [DOI: 10.1097/igc.0000000000000203] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
ObjectivesThe aim of this study was to determine the accuracy of pelvic magnetic resonance imaging (MRI) diagnoses compared with the final pathology diagnoses for a series of women with indeterminate adnexal masses.Materials and MethodsWe performed a retrospective cohort study of women who underwent pelvic MRI with a diagnosis of an adnexal mass between June 2009 and 2010 after indeterminate ultrasound at our tertiary care institution. Chart abstraction was performed for demographic information and radiologic interpretations (benign or malignant) and favored a specific histologic subtype on MRI reports. The radiologic diagnoses were compared with the diagnoses by surgical pathology.ResultsData from 237 female patients who underwent pelvic MRI were included, and 41.35% underwent surgical intervention for the adnexal mass. Pelvic MRI (n = 88) was determined to have a sensitivity of 95.0% and specificity of 94.1%. The predicted specific histologic subtype by MRI (n = 84) was accurate in 56 (98.25%) of 57 women with an anticipated benign diagnosis and in 23 (85.19%) of 27 women with an anticipated malignancy. The agreement between a benign diagnosis from MRI and benign final surgical pathology was 0.85 (95% confidence interval, 0.716–0.976).ConclusionsIn our tertiary care center, MRI is used to further characterize indeterminate adnexal masses and can accurately differentiate benign versus malignant adnexal masses. The diagnosis on MRI was highly correlative with the final histopathology. The majority of the cohort (59%) were able to be managed expectantly based on reassuring results of the MRI. Magnetic resonance imaging offered diagnostic value, more detailed patient counseling, appropriate subspecialty referral, and surgical planning, as well as reassurance to pursue conservative management of benign masses by MRI.
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Teo QQ, Thng CH, Koh TS, Ng QS. Dynamic contrast-enhanced magnetic resonance imaging: applications in oncology. Clin Oncol (R Coll Radiol) 2014; 26:e9-20. [PMID: 24931594 DOI: 10.1016/j.clon.2014.05.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 04/22/2014] [Accepted: 04/28/2014] [Indexed: 12/29/2022]
Abstract
Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) allows functional characterisation of tissue perfusion characteristics and acts as a biomarker for tumour angiogenesis. It involves serial acquisition of MRI images before and after injection of contrast, as such, tissue perfusion and permeability can be assessed based on the signal enhancement kinetics. The ability to evaluate whole tumour volumes in a non-invasive manner makes DCE MRI especially attractive for potential oncological applications. Here we provide an overview of the current research involving DCE MRI as a biomarker for the diagnosis and characterisation of malignancies, prediction of the therapeutic response and survival outcomes, as well as radiation therapy planning.
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Affiliation(s)
- Q Q Teo
- Duke NUS Graduate Medical School Singapore, Singapore
| | - C H Thng
- Department of Oncologic Imaging, National Cancer Centre Singapore, Singapore
| | - T S Koh
- Department of Oncologic Imaging, National Cancer Centre Singapore, Singapore
| | - Q S Ng
- Department of Medical Oncology, National Cancer Centre Singapore, Singapore.
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Algorithmic approach to solid adnexal masses and their mimics: utilization of anatomic relationships and imaging features to facilitate diagnosis. ABDOMINAL IMAGING 2014; 39:1284-96. [PMID: 24852312 DOI: 10.1007/s00261-014-0163-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Solid adnexal masses, while less common than their cystic counterparts, may present a challenge for radiologists given the wide range of histologic entities that occur in this region. Pelvic masses, especially when large, can seem overwhelming at first but application of an algorithmic approach allows for more confident assessment. This approach focuses first on the use of anatomic relationships and interactions of various pelvic structures to localize the mass' origin. For instance, the directionality of ureteral displacement can suggest if a mass is intra or extraperitoneal. Then, key discriminating imaging features, such as the presence of fat, hypervascularity, or low T2 signal on magnetic resonance imaging (MRI) can be applied to further narrow the list of diagnostic possibilities. Entities such as leiomyomas, nerve sheath tumors, congenital uterine anomalies, and vascular abnormalities (ovarian torsion or iliac vessel aneurysm) in particular are often accurately characterized with sonography and/or MRI. For solid adnexal masses in which a definitive diagnosis by imaging is not reached, information germane to clinicians regarding further management can still be provided, principally with regard to surgical vs. nonsurgical treatment.
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Derrouis S, Egger JF, Wespi Y, Kinkel K. Masse pelvienne chez une femme à 21 semaines d’aménorrhée. IMAGERIE DE LA FEMME 2014. [DOI: 10.1016/j.femme.2013.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Dogheim OY, Abdel Hamid AEDM, Barakat MS, Eid M, El-Sayed SM. Role of novel magnetic resonance imaging sequences in characterization of ovarian masses. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2014. [DOI: 10.1016/j.ejrnm.2013.11.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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Jung SI, Park HS, Kim YJ, Jeon HJ. Multidetector computed tomography for the assessment of adnexal mass: is unenhanced CT scan necessary? Korean J Radiol 2014; 15:72-9. [PMID: 24497795 PMCID: PMC3909865 DOI: 10.3348/kjr.2014.15.1.72] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Accepted: 09/16/2013] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To compare the diagnostic performance and radiation dose between contrast-enhanced CT (ECT) alone, and combined unenhanced and contrast-enhanced CT (UE + ECT) for the assessment of adnexal mass. MATERIALS AND METHODS This retrospective study was approved by the Institutional Review Board. A total of 146 consecutive patients (mean age, 41.1 years) who underwent preoperative unenhanced and contrast-enhanced multidetector CT of the pelvis and had adnexal masses found at surgery were included. Two readers independently evaluated the likelihood of adnexal malignancy on a 5-point scale on two different imaging datasets (ECT alone and UE + ECT). The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic performance. Radiation dose to patients was calculated by the volume CT dose index (CTDIvol) and the dose length products (DLP) on each dataset. RESULTS Of the total 178 adnexal masses, 133 masses were benign and 45 masses were malignant. For both readers, there is no significant difference of AUC values between ECT alone and UE + ECT for the detection of adnexal malignancy (reader 1, 0.93 vs. 0.95; reader 2, 0.92 vs. 0.91) (p > 0.05). The mean CTDIvol (12.6 ± 2.2 mGy) and DLP (641.2 ± 137.2 mGy) of ECT alone was significantly lower than the mean CTDIvol (21.5 ± 2.7 mGy) and DLP (923.6 ± 158.8 mGy) of UE + ECT (p < 0.0001). CONCLUSION The use of unenhanced CT scan in addition to contrast-enhanced CT scan does not improve the detection of adnexal malignancy, but increases radiation exposure.
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Affiliation(s)
- Sung Il Jung
- Department of Radiology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 143-729, Korea
| | - Hee Sun Park
- Department of Radiology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 143-729, Korea
| | - Young Jun Kim
- Department of Radiology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 143-729, Korea
| | - Hae Jeong Jeon
- Department of Radiology, Research Institute of Medical Science, Konkuk University School of Medicine, Seoul 143-729, Korea
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La Parra Casado C, Molina Fàbrega R, Forment Navarro M, Cano Gimeno J. Fallopian tube disease on magnetic resonance imaging. RADIOLOGIA 2013. [DOI: 10.1016/j.rxeng.2012.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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