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Zeng SE, Du MY, Yu Y, Huang SY, Zhang D, Cui XW, Dietrich CF. Ultrasound, CT, and MR Imaging for Evaluation of Cystic Renal Masses. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2022; 41:807-819. [PMID: 34101225 DOI: 10.1002/jum.15762] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 05/12/2021] [Accepted: 05/23/2021] [Indexed: 06/12/2023]
Abstract
Cystic renal masses are often encountered during abdominal imaging. Although most of them are benign simple cysts, some cystic masses have malignant characteristics. The Bosniak classification system provides a useful way to classify cystic masses. The Bosniak classification is based on the results of a well-established computed tomography protocol. Over the past 30 years, the classification system has been refined and improved. This paper reviews the literature on this topic and compares the advantages and disadvantages of different screening and classification methods. Patients will benefit from multimodal diagnosis for lesions that are difficult to classify after a single examination.
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Affiliation(s)
- Shu-E Zeng
- Department of Ultrasound Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ming-Yue Du
- Department of Ultrasound Medicine, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Yu
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shu-Yan Huang
- Department of Ultrasound, The First People's Hospital of Huaihua, Huaihua, China
| | - Di Zhang
- Department of Medical Ultrasound, Affiliated Hospital of Nantong University, Nantong, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Hecht EM, Khatri G, Morgan D, Kang S, Bhosale PR, Francis IR, Gandhi NS, Hough DM, Huang C, Luk L, Megibow A, Ream JM, Sahani D, Yaghmai V, Zaheer A, Kaza R. Intraductal papillary mucinous neoplasm (IPMN) of the pancreas: recommendations for Standardized Imaging and Reporting from the Society of Abdominal Radiology IPMN disease focused panel. Abdom Radiol (NY) 2021; 46:1586-1606. [PMID: 33185741 DOI: 10.1007/s00261-020-02853-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/27/2020] [Accepted: 10/30/2020] [Indexed: 02/07/2023]
Abstract
There have been many publications detailing imaging features of malignant transformation of intraductal papillary mucinous neoplasms (IPMN), management and recommendations for imaging follow-up of diagnosed or presumed IPMN. However, there is no consensus on several practical aspects of imaging IPMN that could serve as a clinical guide for radiologists and enable future data mining for research. These aspects include how to measure IPMN, define reporting terminology, standardize reporting and unify guidelines for surveillance. The Society of Abdominal Radiology (SAR) created multiple Disease-Focused Panels (DFP) comprised multidisciplinary panel members who focus on a particular disease, with the goal to develop ways for radiologists to improve patient care, education, and research. DFP members met to identify the current controversies and limitations of imaging pancreatic IPMN. This paper aims to provide a practical review of the key imaging characteristics of IPMN for trainees and practicing radiologists, to guide uniformity of performance and interpretation of surveillance imaging studies, and to improve communication with clinicians by providing a lexicon and reporting template based on the experience of the SAR-DFP panel members.
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Affiliation(s)
- Elizabeth M Hecht
- Department of Radiology, New York Presbyterian-Weill Cornell Medicine, New York, NY, USA.
| | - Gaurav Khatri
- Department of Diagnostic Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Desiree Morgan
- Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stella Kang
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Priya R Bhosale
- Division of Diagnostic Imaging, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Isaac R Francis
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Namita S Gandhi
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - David M Hough
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Chenchan Huang
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Lyndon Luk
- Department of Radiology, New York Presbyterian-Columbia University Medical Center, New York, NY, USA
| | - Alec Megibow
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Justin M Ream
- Department of Diagnostic Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Dushyant Sahani
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Vahid Yaghmai
- Department of Radiological Sciences, University of California, Irvine, Orange, CA, USA
| | - Atif Zaheer
- Department of Radiology, John Hopkins Medicine, Baltimore, MD, USA
| | - Ravi Kaza
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
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Hélénon O, Crosnier A, Verkarre V, Merran S, Méjean A, Correas JM. Simple and complex renal cysts in adults: Classification system for renal cystic masses. Diagn Interv Imaging 2018; 99:189-218. [DOI: 10.1016/j.diii.2017.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 09/26/2017] [Indexed: 02/08/2023]
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