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Purpose: This study presents the first in vivo real-time tissue characterization during image-guided percutaneous lung biopsies using diffuse reflectance spectroscopy (DRS) sensing at the tip of a biopsy needle with integrated optical fibers. Experimental Design: Tissues from 21 consented patients undergoing lung cancer surgery were measured intraoperatively using the fiber-optic platform capable of assessing various physical tissue properties highly correlated to tissue architecture and composition. In addition, the method was tested for clinical use by performing DRS tissue sensing during 11 routine biopsy procedures in patients with suspected lung cancer. Results: We found that water content and scattering amplitude are the primary discriminators for the transition from healthy lung tissue to tumor tissue and that the reliability of these parameters is not affected by the amount of blood at the needle tip. In the 21 patients measured intraoperatively, the water-to-scattering ratio yielded a 56% to 81% contrast difference between tumor and surrounding tissue. Analysis of the 11 image-guided lung biopsy procedures showed that the tissue diagnosis derived from DRS was diagnostically discriminant in each clinical case. Conclusions: DRS tissue sensing integrated into a biopsy needle may be a powerful new tool for biopsy guidance that can be readily used in routine diagnostic lung biopsy procedures. This approach may not only help to increase the successful biopsy yield for histopathologic analysis, but may also allow specific sampling of vital tumor tissue for genetic profiling. Clin Cancer Res; 22(2); 357–65. ©2015 AACR. See related commentary by Aerts, p. 273

Summary Assessment of fatty liver grafts during orthotopic liver transplantation is a challenge due to the lack of real‐time analysis options during surgery. Diffuse reflectance spectroscopy (DRS) could be a new diagnostic tool to quickly assess steatosis. Eight hundred and seventy‐eight optical measurements were performed in vivo in 17 patients in liver tissue during surgery and ex vivo on liver resection specimens from 41 patients. Liver steatosis was quantified from the collected optical spectra and compared with the histology analysis from the measurement location by three independent pathologists. Twenty two patients were diagnosed with <5% steatosis, 15 patients had mild steatosis, and four had moderate steatosis. Severe steatosis was not identified. Intraclass correlation between the pathologists analysis was 0.949. A correlation of 0.854 was found between the histology and DRS analyses of liver steatosis ex vivo. For the same liver tissue, a correlation of 0.925 was demonstrated between in vivo and ex vivo DRS analysis for steatosis quantification. DRS can quantify steatosis in liver tissue both in vivo and ex vivo with good agreement compared to histopathology analysis. This analysis can be performed real time and may therefore be useful for fast objective assessment of liver steatosis in liver surgery.

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