TRV-2026-2401Published recordPeer-reviewed

Intraoperative Tumor-Tissue Discrimination and Histology-Defined Glioma Grading Using Combined Fluorescence and Diffuse Reflectance Spectroscopy

Background Maximal safe glioma resection requires distinguishing infiltrative tumor from surrounding brain. Visible 5-aminolevulinic acid (5-ALA)-induced protoporphyrin IX (PpIX) fluorescence guides surgery, but low or heterogeneous PpIX accumulation and optical attenuation limit sensitivity. We tested whether combined fluorescence spectroscopy (FS) and diffuse reflectance spectroscopy (DRS) could improve tumor-tissue discrimination beyond visible fluorescence. Methods Thirty-three patients with historically cla…

Health · Good Space (a documented gain) · first published 2026-11-06 · v1 · read the full story · raw data (JSON)

The gain

In a study of 33 glioma patients, a handheld probe with machine learning raised tumor detection sensitivity by 34.3 percentage points over visible 5-ALA fluorescence and found tumor the dye did not show.

What this doesn’t fix

The study has not shown that the added signal improves surgical decisions or patient outcomes; the authors call for prospective multicenter evaluation with a locked model and molecularly classified cohorts.

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Truvace Impact Record TRV-2026-2401, v1: “Intraoperative Tumor-Tissue Discrimination and Histology-Defined Glioma Grading Using Combined Fluorescence and Diffuse Reflectance Spectroscopy.” Truvace, 2026-11-06. /record/TRV-2026-2401 (accessed on the day you copy it). sha256 b408e2eef7ef1e24…

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