Camponovo, Carolina; Neumann, Stephanie; Zosso, Livia; Mueller, Michael D; Raio, Luigi (2023). Sonographic and Magnetic Resonance Characteristics of Gynecological Sarcoma. Diagnostics, 13(7) MDPI 10.3390/diagnostics13071223
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INTRODUCTION
Gynecological sarcomas are rare malignant tumors with an incidence of 1.5-3/100,000 and are 3-9% of all malignant uterine tumors. The preoperative differentiation between sarcoma and myoma becomes increasingly important with the development of minimally invasive treatments for myomas, as this means undertreatment for sarcoma. There are currently no reliable laboratory tests or imaging-characteristics to detect sarcomas. The objective of this article is to gain an overview of sarcoma US/MRI characteristics and assess their accuracy for preoperative diagnosis.
METHODS
A systematic literature review was performed and 12 studies on ultrasound and 21 studies on MRI were included.
RESULTS
For the ultrasound, these key features were gathered: solid tumor > 8 cm, unsharp borders, heterogeneous echogenicity, no acoustic shadowing, rich vascularization, and cystic changes within. For the MRI, these key features were gathered: irregular borders; heterogeneous; high signal on T2WI intensity; and hemorrhagic and necrotic changes, with central non-enhancement, hyperintensity on DWI, and low values for ADC.
CONCLUSIONS
These features are supported by the current literature. In retrospective analyses, the ultrasound did not show a sufficient accuracy for diagnosing sarcoma preoperatively and could also not differentiate between the different subtypes. The MRI showed mixed results: various studies achieved high sensitivities in their analysis, when combining multiple characteristics. Overall, these findings need further verification in prospective studies with larger study populations.
Item Type: |
Journal Article (Review Article) |
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Division/Institute: |
04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology |
UniBE Contributor: |
Camponovo, Carolina, Neumann, Stephanie, Mueller, Michael, Raio, Luigi |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2075-4418 |
Publisher: |
MDPI |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
14 Apr 2023 09:15 |
Last Modified: |
15 Apr 2023 15:11 |
Publisher DOI: |
10.3390/diagnostics13071223 |
PubMed ID: |
37046441 |
Uncontrolled Keywords: |
STUMP carcinosarcoma endometrial stroma sarcoma leiomyosarcoma magnetic resonance imaging myomas ultrasound undifferentiated uterine sarcoma uterine sarcomas |
BORIS DOI: |
10.48350/181714 |
URI: |
https://boris.unibe.ch/id/eprint/181714 |
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