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Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience
PURPOSE: Renal cysts comprise benign and malignant entities. Risk assessment profits from CT/MRI imaging using the Bosniak classification. While Bosniak-IIF, -III, and -IV cover complex cyst variants, Bosniak-IIF and -III stand out due to notorious overestimation. Contrast-enhanced ultrasound (CEUS)...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082702/ https://www.ncbi.nlm.nih.gov/pubmed/35986781 http://dx.doi.org/10.1007/s00345-022-04094-0 |
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author | Herms, Elena Weirich, Gregor Maurer, Tobias Wagenpfeil, Stefan Preuss, Stephanie Sauter, Andreas Heck, Matthias Gärtner, Anita Hauner, Katharina Autenrieth, Michael Kübler, Hubert P. Holzapfel, Konstantin Schwarz-Boeger, Ulrike Heemann, Uwe Slotta-Huspenina, Julia Stock, Konrad Friedrich |
author_facet | Herms, Elena Weirich, Gregor Maurer, Tobias Wagenpfeil, Stefan Preuss, Stephanie Sauter, Andreas Heck, Matthias Gärtner, Anita Hauner, Katharina Autenrieth, Michael Kübler, Hubert P. Holzapfel, Konstantin Schwarz-Boeger, Ulrike Heemann, Uwe Slotta-Huspenina, Julia Stock, Konrad Friedrich |
author_sort | Herms, Elena |
collection | PubMed |
description | PURPOSE: Renal cysts comprise benign and malignant entities. Risk assessment profits from CT/MRI imaging using the Bosniak classification. While Bosniak-IIF, -III, and -IV cover complex cyst variants, Bosniak-IIF and -III stand out due to notorious overestimation. Contrast-enhanced ultrasound (CEUS) is promising to overcome this deficit but warrants standardization. This study addresses the benefits of a combined CEUS and CT/MRI evaluation of renal cysts. The study provides a realistic account of kidney tumor boards' intricacies in trying to validate renal cysts. METHODS: 247 patients were examined over 8 years. CEUS lesions were graded according to CEUS-Bosniak (IIF, III, IV). 55 lesions were resected, CEUS-Bosniak- and CT/MRI-Bosniak-classification were correlated with histopathological diagnosis. Interobserver agreement between the classifications was evaluated statistically. 105 lesions were followed by ultrasound, and change in CEUS-Bosniak-types and lesion size were documented. RESULTS: 146 patients (156 lesions) were included. CEUS classified 67 lesions as CEUS-Bosniak-IIF, 44 as CEUS-Bosniak-III, and 45 as CEUS-Bosniak-IV. Histopathology of 55 resected lesions revealed benign cysts in all CEUS-Bosniak-IIF lesions (2/2), 40% of CEUS-Bosniak-III and 8% of CEUS-Bosniak-IV, whereas malignancy was uncovered in 60% of CEUS-Bosniak-III and 92% of CEUS-Bosniak-IV. Overall, CEUS-Bosniak-types matched CT/MRI-Bosniak types in 58% (fair agreement, κ = 0.28). CEUS-Bosniak resulted in higher stages than CT/MRI-Bosniak (40%). Ultrasound follow-up of 105 lesions detected no relevant differences between CEUS-Bosniak-types concerning cysts size. 99% of lesions showed the same CEUS-Bosniak-type. CONCLUSION: The CEUS-Bosniak classification is an essential tool in clinical practice to differentiate and monitor renal cystic lesions and empowers diagnostic work-up and patient care. |
format | Online Article Text |
id | pubmed-10082702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-100827022023-04-10 Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience Herms, Elena Weirich, Gregor Maurer, Tobias Wagenpfeil, Stefan Preuss, Stephanie Sauter, Andreas Heck, Matthias Gärtner, Anita Hauner, Katharina Autenrieth, Michael Kübler, Hubert P. Holzapfel, Konstantin Schwarz-Boeger, Ulrike Heemann, Uwe Slotta-Huspenina, Julia Stock, Konrad Friedrich World J Urol Topic Paper PURPOSE: Renal cysts comprise benign and malignant entities. Risk assessment profits from CT/MRI imaging using the Bosniak classification. While Bosniak-IIF, -III, and -IV cover complex cyst variants, Bosniak-IIF and -III stand out due to notorious overestimation. Contrast-enhanced ultrasound (CEUS) is promising to overcome this deficit but warrants standardization. This study addresses the benefits of a combined CEUS and CT/MRI evaluation of renal cysts. The study provides a realistic account of kidney tumor boards' intricacies in trying to validate renal cysts. METHODS: 247 patients were examined over 8 years. CEUS lesions were graded according to CEUS-Bosniak (IIF, III, IV). 55 lesions were resected, CEUS-Bosniak- and CT/MRI-Bosniak-classification were correlated with histopathological diagnosis. Interobserver agreement between the classifications was evaluated statistically. 105 lesions were followed by ultrasound, and change in CEUS-Bosniak-types and lesion size were documented. RESULTS: 146 patients (156 lesions) were included. CEUS classified 67 lesions as CEUS-Bosniak-IIF, 44 as CEUS-Bosniak-III, and 45 as CEUS-Bosniak-IV. Histopathology of 55 resected lesions revealed benign cysts in all CEUS-Bosniak-IIF lesions (2/2), 40% of CEUS-Bosniak-III and 8% of CEUS-Bosniak-IV, whereas malignancy was uncovered in 60% of CEUS-Bosniak-III and 92% of CEUS-Bosniak-IV. Overall, CEUS-Bosniak-types matched CT/MRI-Bosniak types in 58% (fair agreement, κ = 0.28). CEUS-Bosniak resulted in higher stages than CT/MRI-Bosniak (40%). Ultrasound follow-up of 105 lesions detected no relevant differences between CEUS-Bosniak-types concerning cysts size. 99% of lesions showed the same CEUS-Bosniak-type. CONCLUSION: The CEUS-Bosniak classification is an essential tool in clinical practice to differentiate and monitor renal cystic lesions and empowers diagnostic work-up and patient care. Springer Berlin Heidelberg 2022-08-20 2023 /pmc/articles/PMC10082702/ /pubmed/35986781 http://dx.doi.org/10.1007/s00345-022-04094-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Topic Paper Herms, Elena Weirich, Gregor Maurer, Tobias Wagenpfeil, Stefan Preuss, Stephanie Sauter, Andreas Heck, Matthias Gärtner, Anita Hauner, Katharina Autenrieth, Michael Kübler, Hubert P. Holzapfel, Konstantin Schwarz-Boeger, Ulrike Heemann, Uwe Slotta-Huspenina, Julia Stock, Konrad Friedrich Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title | Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title_full | Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title_fullStr | Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title_full_unstemmed | Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title_short | Ultrasound-based “CEUS-Bosniak”classification for cystic renal lesions: an 8-year clinical experience |
title_sort | ultrasound-based “ceus-bosniak”classification for cystic renal lesions: an 8-year clinical experience |
topic | Topic Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082702/ https://www.ncbi.nlm.nih.gov/pubmed/35986781 http://dx.doi.org/10.1007/s00345-022-04094-0 |
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