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Quantitative Third Harmonic Generation Microscopy for Assessment of Glioma in Human Brain Tissue.
Zhang, Zhiqing; de Munck, Jan C; Verburg, Niels; Rozemuller, Annemieke J; Vreuls, Willem; Cakmak, Pinar; van Huizen, Laura M G; Idema, Sander; Aronica, Eleonora; de Witt Hamer, Philip C; Wesseling, Pieter; Groot, Marie Louise.
Afiliación
  • Zhang Z; LaserLab Amsterdam Department of Physics and Astronomy Faculty of Sciences Vrije Universiteit Amsterdam De Boelelaan 1081 1081 HV Amsterdam The Netherlands.
  • de Munck JC; Department of Radiology and Nuclear Medicine Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1118 1081 HZ Amsterdam The Netherlands.
  • Verburg N; Amsterdam Neuroscience Vrije Universiteit Amsterdam De Boelelaan 1085 1081 HV Amsterdam The Netherlands.
  • Rozemuller AJ; Department of Radiology and Nuclear Medicine Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1118 1081 HZ Amsterdam The Netherlands.
  • Vreuls W; Amsterdam Brain Tumor Center Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1117 1081 HV Amsterdam The Netherlands.
  • Cakmak P; Department of Neurosurgery Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1117 1081 HV Amsterdam The Netherlands.
  • van Huizen LMG; Department of Pathology Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1117 1081 HV Amsterdam The Netherlands.
  • Idema S; Department of Pathology Canisius Wilhelmina Ziekenhuis Weg door jonkerbos 100, Postbus 9015 6500 GS Nijmegen The Netherlands.
  • Aronica E; Department of Pathology Gazi University Medical Faculty Besevler 06500 Ankara Turkey.
  • de Witt Hamer PC; LaserLab Amsterdam Department of Physics and Astronomy Faculty of Sciences Vrije Universiteit Amsterdam De Boelelaan 1081 1081 HV Amsterdam The Netherlands.
  • Wesseling P; Department of Neurosurgery Amsterdam Universities Medical Center/VU University Medical Center De Boelelaan 1117 1081 HV Amsterdam The Netherlands.
  • Groot ML; Department of (Neuro) Pathology Amsterdam UMC University of Amsterdam Meibergdreef 9 1105 AZ Amsterdam The Netherlands.
Adv Sci (Weinh) ; 6(11): 1900163, 2019 Jun 05.
Article en En | MEDLINE | ID: mdl-31179222
ABSTRACT
Distinguishing tumors from normal brain cells is important but challenging in glioma surgery due to the lack of clear interfaces between the two. The ability of label-free third harmonic generation (THG) microscopy in combination with automated image analysis to quantitatively detect glioma infiltration in fresh, unprocessed tissue in real time is assessed. The THG images reveal increased cellularity in grades II-IV glioma samples from 23 patients, as confirmed by subsequent hematoxylin and eosin histology. An automated image quantification workflow is presented for quantitative assessment of the imaged cellularity as a reflection of the degree of glioma invasion. The cellularity is validated in three ways 1) Quantitative comparison of THG imaging with fluorescence microscopy of nucleus-stained samples demonstrates that THG reflects the true tissue cellularity. 2) Thresholding of THG cellularity differentiates normal brain from glioma infiltration, with 96.6% sensitivity and 95.5% specificity, in nearly perfect (93%) agreement with pathologists. 3) In one patient, a good correlation between THG cellularity and preoperative magnetic resonance and positron emission tomography imaging is demonstrated. In conclusion, quantitative real-time THG microscopy accurately assesses glioma infiltration in ex vivo human brain samples, and therefore holds strong potential for improving the accuracy of surgical resection.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Adv Sci (Weinh) Año: 2019 Tipo del documento: Article