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Tailored Intraoperative MRI Strategies in High-Grade Glioma Surgery: A Machine Learning-Based Radiomics Model Highlights Selective Benefits.
Aichholzer, Martin; Rauch, Philip; Kastler, Lucia; Pichler, Josef; Aufschnaiter-Hiessböck, Kathrin; Ruiz-Navarro, Francisco; Aspalter, Stefan; Hartl, Saskia; Schimetta, Wolfgang; Böhm, Petra; Manakov, Ilja; Thomae, Wolfgang; Gmeiner, Matthias; Gruber, Andreas; Stefanits, Harald.
Afiliación
  • Aichholzer M; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Rauch P; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Kastler L; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Pichler J; Institute of Neuro-Oncology, Kepler University Hospital, Linz, Austria.
  • Aufschnaiter-Hiessböck K; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Ruiz-Navarro F; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Aspalter S; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Hartl S; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Schimetta W; Institute of Statistics, Johannes Kepler University, Linz, Austria.
  • Böhm P; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Manakov I; ImFusion GmbH, Munich, Germany.
  • Thomae W; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Gmeiner M; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Gruber A; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
  • Stefanits H; Department of Neurosurgery, Kepler University Hospital, Johannes Kepler University, Linz, Austria.
Article en En | MEDLINE | ID: mdl-38289331
ABSTRACT
BACKGROUND AND

OBJECTIVES:

In high-grade glioma (HGG) surgery, intraoperative MRI (iMRI) has traditionally been the gold standard for maximizing tumor resection and improving patient outcomes. However, recent Level 1 evidence juxtaposes the efficacy of iMRI and 5-aminolevulinic acid (5-ALA), questioning the continued justification of iMRI because of its associated costs and extended surgical duration. Nonetheless, drawing from our clinical observations, we postulated that a subset of intricate HGGs may continue to benefit from the adjunctive application of iMRI.

METHODS:

In a prospective study of 73 patients with HGG, 5-ALA was the primary technique for tumor delineation, complemented by iMRI to detect residual contrast-enhanced regions. Suboptimal 5-ALA efficacy was defined when (1) iMRI detected contrast-enhanced remnants despite 5-ALA's indication of a gross total resection or (2) surgeons observed residual fluorescence, contrary to iMRI findings. Radiomic features from preoperative MRIs were extracted using a U2-Net deep learning algorithm. Binary logistic regression was then used to predict compromised 5-ALA performance.

RESULTS:

Resections guided solely by 5-ALA achieved an average removal of 93.14% of contrast-enhancing tumors. This efficacy increased to 97% with iMRI integration, albeit not statistically significant. Notably, for tumors with suboptimal 5-ALA performance, iMRI's inclusion significantly improved resection outcomes (P-value .00013). The developed deep learning-based model accurately pinpointed these scenarios, and when enriched with radiomic parameters, showcased high predictive accuracy, as indicated by a Nagelkerke R2 of 0.565 and a receiver operating characteristic of 0.901.

CONCLUSION:

Our machine learning-driven radiomics approach predicts scenarios where 5-ALA alone may be suboptimal in HGG surgery compared with its combined use with iMRI. Although 5-ALA typically yields favorable results, our analyses reveal that HGGs characterized by significant volume, complex morphology, and left-sided location compromise the effectiveness of resections relying exclusively on 5-ALA. For these intricate cases, we advocate for the continued relevance of iMRI.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2023 Tipo del documento: Article País de afiliación: Austria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Oper Neurosurg (Hagerstown) Año: 2023 Tipo del documento: Article País de afiliación: Austria