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Yoeli-Bik R, Lengyel E, Mills KA, Abramowicz JS. Ovarian Masses: The Value of Acoustic Shadowing on Ultrasound Examination. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:935-945. [PMID: 36114807 DOI: 10.1002/jum.16100] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 06/15/2023]
Abstract
Adnexal lesions are a common finding in women and pose a clinical challenge since ovarian cancer is a highly lethal disease. However, most adnexal masses are benign, benefiting from a more conservative approach. In preoperative assessment, transvaginal ultrasound plays a key role in evaluating morphologic features that correlate with the risk of malignancy. The acoustic shadow is the loss of echo behind sound-absorbing components, such as calcifications or fibrous tissues, which are predominantly found in benign lesions. However, recognizing the acoustic shadow is a difficult skill to master, and its usefulness may be underappreciated.
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Affiliation(s)
- Roni Yoeli-Bik
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, University of Chicago, Chicago, Illinois, USA
| | - Ernst Lengyel
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, University of Chicago, Chicago, Illinois, USA
| | - Kathryn A Mills
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, University of Chicago, Chicago, Illinois, USA
| | - Jacques S Abramowicz
- Department of Obstetrics and Gynecology/Section of Maternal Fetal Medicine, University of Chicago, Chicago, Illinois, USA
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2
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Timor-Tritsch IE, Monteagudo A, Popiolek DA, Duncan KM, Goldstein SR. Reaffirming microcystic ultrasound appearance of borderline ovarian tumors using three-dimensional 'silhouette' rendering. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2022; 59:700-704. [PMID: 35195307 DOI: 10.1002/uog.24883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/04/2022] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Affiliation(s)
- I E Timor-Tritsch
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
| | - A Monteagudo
- Icahn School of Medicine, Carnegie Imaging for Women, New York, NY, USA
| | - D A Popiolek
- Department of Pathology, New York University School of Medicine, New York, NY, USA
| | - K M Duncan
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
| | - S R Goldstein
- Department of Obstetrics and Gynecology, New York University School of Medicine, New York, NY, USA
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Ultrasound Characteristics of Cystadenofibromas: A Retrospective Multicenter Study. Ultrasound Q 2021; 37:349-356. [PMID: 34855711 DOI: 10.1097/ruq.0000000000000506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
ABSTRACT Cystadenofibromas (CAFs) are relatively rare benign ovarian tumors. This study was to describe the ultrasound (US) findings of CAFs. Preoperative US information of 86 CAFs was retrospectively collected. To better illustrate their characteristic, 173 cystadenomas (CADs), 103 borderline ovarian tumors (BOTs), and 129 cystadenocarcinomas (CACs) were recruited as match groups. Besides morphology evaluation, tumors were categorized by the Ovarian-Adnexal Reporting and Data System US system. Higher-risk stratification in CAFs was more often being seen than CADs (63% of CAFs classified as Ovarian-Adnexal Reporting and Data System 4 or 5 vs 35% in CADs). Cystadenofibromas more commonly appeared as unilocular or multilocular solid than CADs. Solid components presented in 59% of CAFs and papillary projections presented in 45%. More CAFs contained solid components and papillary projections than CADs (P < 0.0001). When compared with BOTs and CACs, less CAFs contained solid components (P < 0.017 and P < 0.0001). However, no significant difference was found in CAFs versus BOTs or CACs about the presence of papillary projections. Shadowing was identified in 58% of CAFs; however, in CADs, BOTs, and CACs, the proportion was 2%, 11%, and 11%, respectively. Presence of shadowing in CAFs was noticeably more than CADs, BOTs, and CACs (P < 0.017 or P < 0.0001). Similar to CADs, most CAFs were avascular (76%) and without ascites (99%), which were significantly different from BOTs and CACs. We concluded that the sonographic markers for CAFs that differ from malignant were presence of shadowing, avascular, and absence of ascites.
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Bhalla D, Manchanda S, Vyas S. Algorithmic Approach to Sonography of Adnexal Masses: An Evolving Paradigm. Curr Probl Diagn Radiol 2020; 50:703-715. [PMID: 32958313 DOI: 10.1067/j.cpradiol.2020.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Revised: 07/25/2020] [Accepted: 08/21/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Pelvic US remains the workhorse for detection and characterization of adnexal masses in most centers worldwide. While the differentiation of benign from malignant masses remains the foremost concern, it is imperative to narrow the differential diagnosis for management of benign masses as well as prognostication of malignant masses. The IOTA group as well as ACR have described a five category classification system for adnexal lesions based on morphological patterns. In addition, a six category risk stratification has been proposed, incorporating the probability of malignancy as well as management recommendations. LEARNING OBJECTIVES 1) Understand pattern based approach to adnexal lesion classification and the possible entities fitting into each pattern with the help of illustrations. 2) Classify lesions into appropriate risk categories based on diagnostic algorithms provided at the end of each section.
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Affiliation(s)
- Deeksha Bhalla
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Ansari Nagar East, ND, 110029, India
| | - Smita Manchanda
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Ansari Nagar East, ND, 110029, India.
| | - Surabhi Vyas
- Department of Radiodiagnosis, All India Institute of Medical Sciences, Ansari Nagar East, ND, 110029, India
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Zheng X, Lyu G, Gan Y, Hu M, Liu X, Chen S, Wu X, Yang W, Ye F, Yan X, Zhang Y. Microcystic pattern and shadowing are independent predictors of ovarian borderline tumors and cystadenofibromas in ultrasound. Eur Radiol 2020; 31:45-54. [PMID: 32780208 DOI: 10.1007/s00330-020-07113-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 05/06/2020] [Accepted: 07/24/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES To determine the sonographic characteristics of borderline tumors (BoTs) and cystadenofibromas (CAFs). METHODS Preoperative sonograms from consecutive patients who had at least one primary epithelial tumor in the adnexa were retrospectively collected. All tumors were described using the International Ovarian Tumor Analysis terminology. Ultrasound variables were tested using multinomial logistic regression after univariate analysis. RESULTS A total of 650 patients were included in this study. Of these, 110 had a CAF, 128 had a BoT, 249 had a cystadenoma (CAD), and 163 had a cystadenocarcinoma (CAC). Nearly half of CAFs and more than half of BoTs and CACs appeared to be unilocular and multilocular solid on the ultrasound images, while CADs were predominantly uni- or multilocular (p < 0.001). Overall, shadowing was identified in 82/650 cases. Sixty-five of 110 (59.1%) CAFs exhibited an acoustic shadow, compared with only 4/249 (1.6%) in CADs, 7/128 (5.5%) in BoTs, and 6/163 (3.7%) in CACs (p < 0.001). Furthermore, 112/650 cases demonstrated microcystic pattern (MCP). Sixty-eight of 128 (53.1%) BoTs exhibited MCP, compared with only 5/249 (2.0%) in CADs, 19/163 (11.7%) in CACs, and 20/110 (18.2%) in CAFs (p < 0.001). Logistic regression analysis revealed that shadowing is an independent predictor of CAFs, while MCP is an independent predictor of BoTs. CONCLUSIONS Sonographic findings for CAFs and BoTs were complex and partly overlapped with those for CACs. However, proper recognition and utilization of shadowing or MCP may help to correctly discriminate CAFs and BoTs. KEY POINTS • Sonographic findings for borderline tumors and cystadenofibromas are complex and mimic malignancy. • Microcystic pattern and shadowing are independent predictors of borderline tumors and cystadenofibromas respectively.
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Affiliation(s)
- Xinying Zheng
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China
| | - Guorong Lyu
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China. .,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.
| | - Yaduan Gan
- Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.,Department of Ultrasound, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China
| | - Maiguo Hu
- Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.,Department of Ultrasound, Xiamen Maternal and Child Health Care Hospital, Xiamen, Fujian, China
| | - Xianlan Liu
- Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.,Department of Ultrasound, the First Affiliated Hospital of Xiamen University, Xiamen, Fujian, China
| | - Shuqiang Chen
- Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.,Department of Ultrasound, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Xiuming Wu
- Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China.,Department of Ultrasound, the Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Wenmin Yang
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China
| | - Fengying Ye
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China
| | - Xiaobin Yan
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China
| | - Ying Zhang
- Department of Ultrasound, the Second Affiliated Hospital of Fujian Medical University, Licheng District, Quanzhou, 362000, Fujian, China.,Collaborative Innovation Center for Maternal and Infant Health Service Application Technology, Quanzhou Medical College, Luojiang District, Quanzhou, 362000, Fujian, China
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Wilson MP, Katlariwala P, Low G. Solid Hypoechoic Adnexal Lesions with Acoustic Shadowing Warrant an MRI Recommendation in the O-RADS Risk Stratification and Management System. Radiology 2020; 296:E11-E13. [DOI: 10.1148/radiol.2020200437] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Mitchell P. Wilson
- Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St NW, 2B2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Prayash Katlariwala
- Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St NW, 2B2.41 WMC, Edmonton, AB, Canada T6G 2B7
| | - Gavin Low
- Department of Radiology and Diagnostic Imaging, University of Alberta, 8440-112 St NW, 2B2.41 WMC, Edmonton, AB, Canada T6G 2B7
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