Linton T. Evans

Linton T. Evans

*This is an algorithmically generated author record based on publicly available information.

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Linton T. Evans has a total of 17 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Use of Stereovision for Intraoperative Coregistration of a Spinal Surgical Field: A Human Feasibility Study

    by S Scott Lollis, Xiaoyao Fan, Linton Evans, Jonathan D Olson, Keith D Paulsen, David W Roberts, Sohail K Mirza, Songbai Ji

    BACKGROUND: The use of image guidance during spinal surgery has been limited by several anatomic factors such as intervertebral segment motion and ineffective spine immobilization. In its current form, the surgical field is coregistered with a preoperative computed tomography (CT), often obtained in a different spinal confirmation, or with intraoperative cross-sectional imaging. Stereovision offers an alternative method of registration. OBJECTIVE: To demonstrate the feasibility of stereovision-mediated coregistration of a human spinal surgical field using a proof-of-principle study, and to provide preliminary assessments of the technique's accuracy. METHODS: A total of 9 subjects undergoing image-guided pedicle screw placement also underwent stereovision-mediated coregistration with preoperative CT imaging. Stereoscopic images were acquired using a tracked, calibrated stereoscopic camera system mounted on an operating microscope. Images were processed, reconstructed, and segmented in a semi-automated manner. A multistart registration of the reconstructed spinal surface with preoperative CT was performed. Registration accuracy, measured as surface-to-surface distance error, was compared between stereovision registration and a standard registration. RESULTS: The mean surface reconstruction error of the stereovision-acquired surface was 2.20 ± 0.89 mm. Intraoperative coregistration with stereovision was performed with a mean error of 1.48 ± 0.35 mm compared to 2.03 ± 0.28 mm using a standard point-based registration method. The average computational time for registration with stereovision was 95 ± 46 s (range 33-184 s) vs 10to 20 min for standard point-based registration. CONCLUSION: Semi-automated registration of a spinal surgical field using stereovision is possible with accuracy that is at least comparable to current landmark-based techniques.


  • Simultaneous In Vivo Fluorescent Markers for Perfusion, Protoporphyrin Metabolism, and EGFR Expression for Optically Guided Identification of Orthotopic Glioma

    by Jonathan T. Elliott, Kayla Marra, Linton T. Evans, Scott C. Davis, Kimberley S. Samkoe, Joachim Feldwisch, Keith D. Paulsen, David W. Roberts, Brian W. Pogue

    Purpose: While extent of tumor resection is an important predictor of outcome in glioma, margin delineation remains challenging due to lack of inherent contrast between tumor and normal parenchyma. Fluorescence-guided surgery is promising for its ability to enhance contrast through exogenous fluorophores; however, the specificity and sensitivity of the underlying contrast mechanism and tumor delivery and uptake vary widely across approved and emerging agents. Experimental Design: Rats with orthotopic F98 wild-type and F98 EGFR-positive (EGFR+) gliomas received in vivo administration of IRDye680RD, 5-aminioleuvulinic acid, and ABY-029—markers of perfusion, protoporphyrin metabolism, and EGFR expression, respectively. Ex vivo imaging demonstrates the contrast mechanism–dependent spatial heterogeneity and enables within-animal comparisons of tumor-to-background ratio (TBR). Results: Generally, ABY-029 outperformed PpIX in F98EGFR orthotopic tumor margins and core (50% and 60% higher TBR, respectively). PpIX outperformed ABY-029 in F98wt margins by 60% but provided equivalent contrast in the bulk tumor. IRDye680RD provided little contrast, having an average TBR of 1.7 ± 0.2. The unique spatial patterns of each agent were combined into a single metric, the multimechanistic fluorescence-contrast index (MFCI). ABY-029 performed best in EGFR+ tumors (91% accuracy), while PpIX performed best in wild-type tumors (87% accuracy). Across all groups, ABY-029 and PpIX performed similarly (80% and 84%, respectively) but MFCI was 91% accurate, supporting multiagent imaging when tumor genotype was unknown. Conclusions: Human use of ABY-029 for glioma resection should enhance excision of EGFR+ tumors and could be incorporated into current PpIX strategies to further enhance treatment in the general glioma case. Clin Cancer Res; 23(9); 2203–12. ©2016 AACR.