Víctor García-Milán

Mr. Víctor García-Milán

Marqués de Valdecilla University Hospital, Santander, Cantabria, Spain
+1
orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 May 2023 in Biosensors
Verified
Journal Article
Open access
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Víctor García-MilánVíctor García-Milán
Víctor García-Milán
AFAlfredo Franco
Alfredo Franco
MZMargarita Estreya Zvezdanova
Margarita Estreya Zvezdanova
SGSara Marcos González
Sara Marcos González
RMRubén Martin-Laez
Rubén Martin-Laez
JFJose L Fernandez-Luna
Jose L Fernandez-Luna
In glioblastoma (GBM) patients, maximal safe resection remains a challenge today due to its invasiveness and diffuse parenchymal infiltration. In this context, plasmonic biosensors could potentially help to discriminate tumor tissue from peritumoral parenchyma based on differences in their optical properties. A nanostructured gold biosensor was used ex vivo to identify tumor tissue in a prospective series of 35 GBM patients who underwent surgical treatment. For each patient, two paired samples, tumor and peritumoral tissue, were extracted. Then, the imprint left by each sample on the surface of the biosensor was individually analyzed, obtaining the difference between their refractive indices. The tumor and non-tumor origins of each tissue were assessed by histopathological analysis. The refractive index (RI) values obtained by analyzing the imprint of the tissue were significantly lower (p = 0.0047) in the peritumoral samples (1.341, Interquartile Range (IQR) 1.339–1.349) compared with the tumor samples (1.350, IQR 1.344–1.363). The ROC (receiver operating characteristic) curve showed the capacity of the biosensor to discriminate between both tissues (area under the curve, 0.8779, p < 0.0001). The Youden index provided an optimal RI cut-off point of 0.003. The sensitivity and specificity of the biosensor were 81% and 80%, respectively. Overall, the plasmonic-based nanostructured biosensor is a label-free system with the potential to be used for real-time intraoperative discrimination between tumor and peritumoral tissue in patients with GBM.

19 June 2024 in World Neurosurgery
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Journal Article
Closed access
Víctor García-MilánVíctor García-Milán
Víctor García-Milán
GMGloria Moreno-Madueño
Gloria Moreno-Madueño
GJGaizka Urreta Juárez
Gaizka Urreta Juárez
MRMónica Rivero-Garvía
Mónica Rivero-Garvía
JMJavier Márquez-Rivas
Javier Márquez-Rivas

10 June 2022 in World Neurosurgery
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Journal Article
Closed access
CSCarlos Santos
Carlos Santos
Víctor García-MilánVíctor García-Milán
Víctor García-Milán
EGElsa Gómez
Elsa Gómez
Carlos VelasquezCarlos Velasquez
Carlos Velasquez
JMJuan Martino
Juan Martino

21 October 2022 in Revista Española de Geriatría y Gerontología
Verified
Journal Article
Closed access
Víctor García-MilánVíctor García-Milán
Víctor García-Milán
ISIsabel Ortega Serrano
Isabel Ortega Serrano
MSMaría Alonso Seco
María Alonso Seco
VCVictoria Jordán Candela
Victoria Jordán Candela

14 August 2026 in World Neurosurgery
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Journal Article
Open access
LBLaura Bauluz
Laura Bauluz
Víctor García-MilánVíctor García-Milán
Víctor García-Milán
SMSara Marcos
Sara Marcos
RMRubén Martín-Láez
Rubén Martín-Láez
DODolores Ortiz
Dolores Ortiz
Carlos VelasquezCarlos Velasquez
Carlos Velasquez

27 June 2026 in Journal of Neuro-Oncology
Verified
Journal Article
Open access
Víctor García-MilánVíctor García-Milán
Víctor García-Milán
LOLaura Bauluz Olmedo
Laura Bauluz Olmedo
SMSara Marcos
Sara Marcos
RLRuth Lau
Ruth Lau
RMRubén Martín-Láez
Rubén Martín-Láez
Carlos VelasquezCarlos Velasquez
Carlos Velasquez
Background: Brain metastases have traditionally been considered well-demarcated lesions; however, increasing evidence demonstrates frequent microscopic infiltration of the surrounding brain parenchyma, with relevant prognostic implications, despite current intraoperative tools. The aim of this study was to evaluate the feasibility and diagnostic performance of a label-free nanoplasmonic biosensor for intraoperative discrimination between tumor tissue and peritumoral brain in brain metastases surgery. Methods: A prospective multicenter study was conducted in patients undergoing surgical resection of brain metastases. Paired tumor and adjacent peritumoral tissue samples were collected intraoperatively following a standardized protocol across participating centers. Samples were analyzed ex vivo using a plasmonic nanostructured biosensor, which detects tissue-specific refractive index differences. Histopathological examination served as the reference standard. Paired comparisons were performed using the Wilcoxon signed-rank test, and diagnostic performance was assessed using receiver operating characteristic analysis. Results: Twenty paired tumor and peritumoral samples from a consecutive series of 20 patients were analyzed. Refractive index values were significantly higher in tumor tissue compared with peritumoral brain ( p = 0.0008). In 85% of cases, tumor samples showed higher refractive index values than their paired peritumoral counterparts. Using the optimal cut-off value, sensitivity was 76% and specificity was 68%. Conclusion: Tumor and peritumoral brain tissue can be discriminated through the measurement of intrinsic biophysical properties with a label-free nanoplasmonic biosensor, supporting its potential role as an objective intraoperative tool for margin assessment without the need of exogenous agents.