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MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases

OBJECT: Recent studies demonstrated that gross total resection of brain metastases cannot always be achieved. Subtotal resection (STR) can result in an early recurrence and might affect patient survival. We initiated a prospective observational study to establish a MRI-based risk assessment for inco...

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Autores principales: Rosenstock, Tizian, Pöser, Paul, Wasilewski, David, Bauknecht, Hans-Christian, Grittner, Ulrike, Picht, Thomas, Misch, Martin, Onken, Julia Sophie, Vajkoczy, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149256/
https://www.ncbi.nlm.nih.gov/pubmed/35651793
http://dx.doi.org/10.3389/fonc.2022.873175
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author Rosenstock, Tizian
Pöser, Paul
Wasilewski, David
Bauknecht, Hans-Christian
Grittner, Ulrike
Picht, Thomas
Misch, Martin
Onken, Julia Sophie
Vajkoczy, Peter
author_facet Rosenstock, Tizian
Pöser, Paul
Wasilewski, David
Bauknecht, Hans-Christian
Grittner, Ulrike
Picht, Thomas
Misch, Martin
Onken, Julia Sophie
Vajkoczy, Peter
author_sort Rosenstock, Tizian
collection PubMed
description OBJECT: Recent studies demonstrated that gross total resection of brain metastases cannot always be achieved. Subtotal resection (STR) can result in an early recurrence and might affect patient survival. We initiated a prospective observational study to establish a MRI-based risk assessment for incomplete resection of brain metastases. METHODS: All patients in whom ≥1 brain metastasis was resected were prospectively included in this study (DRKS ID: DRKS00021224; Nov 2020 – Nov 2021). An interdisciplinary board of neurosurgeons and neuroradiologists evaluated the pre- and postoperative MRI (≤48h after surgery) for residual tumor. Extensive neuroradiological analyses were performed to identify risk factors for an unintended STR which were integrated into a regression tree analysis to determine the patients’ individual risk for a STR. RESULTS: We included 150 patients (74 female; mean age: 61 years), in whom 165 brain metastases were resected. A STR was detected in 32 cases (19.4%) (median residual tumor volume: 1.36ml, median EOR(rel): 93.6%), of which 6 (3.6%) were intended STR (median residual tumor volume: 3.27ml, median EOR(rel): 67.3%) - mainly due to motor-eloquent location - and 26 (15.8%) were unintended STR (uSTR) (median residual tumor volume: 0.64ml, median EOR(rel): 94.7%). The following risk factors for an uSTR could be identified: subcortical metastasis ≥5mm distant from cortex, diffuse contrast agent enhancement, proximity to the ventricles, contact to falx/tentorium and non-transcortical approaches. Regression tree analysis revealed that the individual risk for an uSTR was mainly associated to the distance from the cortex (distance ≥5mm vs. <5mm: OR 8.0; 95%CI: 2.7 – 24.4) and the contrast agent patterns (diffuse vs. non-diffuse in those with distance ≥5mm: OR: 4.2; 95%CI: 1.3 – 13.7). The preoperative tumor volume was not substantially associated with the extent of resection. CONCLUSIONS: Subcortical metastases ≥5mm distant from cortex with diffuse contrast agent enhancement showed the highest incidence of uSTR. The proposed MRI-based assessment allows estimation of the individual risk for uSTR and can help indicating intraoperative imaging.
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spelling pubmed-91492562022-05-31 MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases Rosenstock, Tizian Pöser, Paul Wasilewski, David Bauknecht, Hans-Christian Grittner, Ulrike Picht, Thomas Misch, Martin Onken, Julia Sophie Vajkoczy, Peter Front Oncol Oncology OBJECT: Recent studies demonstrated that gross total resection of brain metastases cannot always be achieved. Subtotal resection (STR) can result in an early recurrence and might affect patient survival. We initiated a prospective observational study to establish a MRI-based risk assessment for incomplete resection of brain metastases. METHODS: All patients in whom ≥1 brain metastasis was resected were prospectively included in this study (DRKS ID: DRKS00021224; Nov 2020 – Nov 2021). An interdisciplinary board of neurosurgeons and neuroradiologists evaluated the pre- and postoperative MRI (≤48h after surgery) for residual tumor. Extensive neuroradiological analyses were performed to identify risk factors for an unintended STR which were integrated into a regression tree analysis to determine the patients’ individual risk for a STR. RESULTS: We included 150 patients (74 female; mean age: 61 years), in whom 165 brain metastases were resected. A STR was detected in 32 cases (19.4%) (median residual tumor volume: 1.36ml, median EOR(rel): 93.6%), of which 6 (3.6%) were intended STR (median residual tumor volume: 3.27ml, median EOR(rel): 67.3%) - mainly due to motor-eloquent location - and 26 (15.8%) were unintended STR (uSTR) (median residual tumor volume: 0.64ml, median EOR(rel): 94.7%). The following risk factors for an uSTR could be identified: subcortical metastasis ≥5mm distant from cortex, diffuse contrast agent enhancement, proximity to the ventricles, contact to falx/tentorium and non-transcortical approaches. Regression tree analysis revealed that the individual risk for an uSTR was mainly associated to the distance from the cortex (distance ≥5mm vs. <5mm: OR 8.0; 95%CI: 2.7 – 24.4) and the contrast agent patterns (diffuse vs. non-diffuse in those with distance ≥5mm: OR: 4.2; 95%CI: 1.3 – 13.7). The preoperative tumor volume was not substantially associated with the extent of resection. CONCLUSIONS: Subcortical metastases ≥5mm distant from cortex with diffuse contrast agent enhancement showed the highest incidence of uSTR. The proposed MRI-based assessment allows estimation of the individual risk for uSTR and can help indicating intraoperative imaging. Frontiers Media S.A. 2022-05-16 /pmc/articles/PMC9149256/ /pubmed/35651793 http://dx.doi.org/10.3389/fonc.2022.873175 Text en Copyright © 2022 Rosenstock, Pöser, Wasilewski, Bauknecht, Grittner, Picht, Misch, Onken and Vajkoczy https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Rosenstock, Tizian
Pöser, Paul
Wasilewski, David
Bauknecht, Hans-Christian
Grittner, Ulrike
Picht, Thomas
Misch, Martin
Onken, Julia Sophie
Vajkoczy, Peter
MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title_full MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title_fullStr MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title_full_unstemmed MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title_short MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases
title_sort mri-based risk assessment for incomplete resection of brain metastases
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149256/
https://www.ncbi.nlm.nih.gov/pubmed/35651793
http://dx.doi.org/10.3389/fonc.2022.873175
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