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Retroperitoneal ganglioneuroma is a rare benign tumor that is challenging in terms of clinical diagnosis. Computed tomography and magnetic resonance imaging are usually performed for diagnosis rather than convenient and inexpensive ultrasonography. Here, we present the case of a 21‐year‐old female patient who was diagnosed by multimodal ultrasound imaging and whose diagnosis was confirmed by ultrasound‐guided core needle biopsy before surgery. We hope that this rare case will help clinicians and radiologists realize the advantages of multimodal ultrasound imaging in the diagnosis of retropeitoneal solid tumors, and reduce misdiagnosis.


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A case report of multimodal ultrasound imaging in the diagnosis of giant retroperitoneal ganglioneuroma

Show Author's information Li FengYong Wang( )
Department of Ultrasound, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

Abstract

Retroperitoneal ganglioneuroma is a rare benign tumor that is challenging in terms of clinical diagnosis. Computed tomography and magnetic resonance imaging are usually performed for diagnosis rather than convenient and inexpensive ultrasonography. Here, we present the case of a 21‐year‐old female patient who was diagnosed by multimodal ultrasound imaging and whose diagnosis was confirmed by ultrasound‐guided core needle biopsy before surgery. We hope that this rare case will help clinicians and radiologists realize the advantages of multimodal ultrasound imaging in the diagnosis of retropeitoneal solid tumors, and reduce misdiagnosis.

Keywords: diagnosis, ganglioneuroma, ultrasonography, retroperitoneal mass

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Publication history

Received: 24 February 2023
Accepted: 27 March 2023
Published: 10 May 2023
Issue date: October 2023

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© 2023 The Authors. Tsinghua University Press.

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ACKNOWLEDGMENTS

We would like to thank Doctor Xiao Chen for providing the surgical specimen picture.

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This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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