A handheld fluorescence molecular tomography system for intraoperative optical imaging of tumor margins.

PURPOSE Accurate identification of tumor margins presents a major challenge in the surgical treatment of human cancers. Inability of complete removal of tumor lesions after surgery causes local recurrence and increases the incidence of developing tumor metastasis. It is clear that novel approaches that allow defining tumor margins intraoperatively for removal of small tumor lesions in the surgical cavity is critical for improving prognosis of cancer patients. To facilitate image-guided surgery using targeted optical imaging probes, we have developed a reflection-mode fluorescence molecular tomography (FMT) system with a handheld probe that is able to provide three-dimensional tumor margin information. METHODS The imaging method and system were validated using both simulated and phantom experiments. We further examined the accuracy of the handheld FMT system in an orthotopic mouse mammary tumor model following systemic delivery of near-infrared (NIR) dye-labeled and urokinase plasminogen activator receptor targeted magnet iron oxide nanoparticles. RESULTS Our results show that when the targets are located within 5 mm beneath the surface of the media, fluorescent images can be reliably detected and reconstructed with an average positional error of 0.5 mm laterally and 1.5 mm axially. For in vivo imaging in the mouse tumor model, the location and size of the tumor detected by FMT correlated well with that measured by the magnetic resonance imaging (MRI). CONCLUSIONS Our system can three-dimensionally image targets located at a depth of up to 7 mm. The in vivo results suggest that in combination with targeted optical imaging probes, this handheld FMT system can be potentially used as an intraoperative tool for the detection of tumor margins and for image-guided surgery.

[1]  H. Sterenborg,et al.  Image‐guided surgery in head and neck cancer: Current practice and future directions of optical imaging , 2012, Head & neck.

[2]  Vasilis Ntziachristos,et al.  Real-time intraoperative fluorescence imaging system using light-absorption correction. , 2009, Journal of biomedical optics.

[3]  Brian C Wilson,et al.  Molecular Fluorescence Excitation–Emission Matrices Relevant to Tissue Spectroscopy¶ , 2003, Photochemistry and photobiology.

[4]  A. R. Williams,et al.  Relative fluorescence quantum yields using a computer-controlled luminescence spectrometer , 1983 .

[5]  J. Sowell,et al.  Synthesis of water-soluble near-infrared cyanine dyes functionalized with [(succinimido)oxy]carbonyl group , 2003 .

[6]  S. Nie,et al.  In vivo cancer targeting and imaging with semiconductor quantum dots , 2004, Nature Biotechnology.

[7]  R. Delgado-Bolton,et al.  Meta-analysis of the performance of 18F-FDG PET in primary tumor detection in unknown primary tumors. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[8]  Walter A Hall,et al.  Intraoperative MR‐guided neurosurgery , 2008, Journal of magnetic resonance imaging : JMRI.

[9]  D. Schwartzentruber,et al.  PET probe-guided surgery: applications and clinical protocol , 2007, World journal of surgical oncology.

[10]  Javier A. Jo,et al.  Fluorescence Lifetime Spectroscopy of Glioblastoma Multiforme¶ , 2004, Photochemistry and photobiology.

[11]  Christoph Alexiou,et al.  Magnetic mitoxantrone nanoparticle detection by histology, X-ray and MRI after magnetic tumor targeting , 2001 .

[12]  Huabei Jiang,et al.  Diffuse optical tomography guided quantitative fluorescence molecular tomography. , 2008, Applied optics.

[13]  Ricardo Ramina,et al.  Optimizing costs of intraoperative magnetic resonance imaging. A series of 29 glioma cases , 2009, Acta Neurochirurgica.

[14]  S. Nie,et al.  Molecular imaging of pancreatic cancer in an animal model using targeted multifunctional nanoparticles. , 2009, Gastroenterology.

[15]  R. Richards-Kortum,et al.  Multispectral optical imaging device for in vivo detection of oral neoplasia. , 2008, Journal of biomedical optics.

[16]  Hua-bei Jiang,et al.  A new probe using hybrid virus-dye nanoparticles for near-infrared fluorescence tomography , 2005 .

[17]  H Jiang,et al.  Quantitative optical image reconstruction of turbid media by use of direct-current measurements. , 2000, Applied optics.

[18]  Shuming Nie,et al.  Receptor-Targeted Nanoparticles for In vivo Imaging of Breast Cancer , 2009, Clinical Cancer Research.

[19]  K D Paulsen,et al.  Improved continuous light diffusion imaging in single- and multi-target tissue-like phantoms. , 1998, Physics in medicine and biology.

[20]  L. Strekowski,,et al.  New Near-Infrared Cyanine Dyes for Labelling of Proteins , 1993 .

[21]  Jinwoo Cheon,et al.  Artificially engineered magnetic nanoparticles for ultra-sensitive molecular imaging , 2007, Nature Medicine.

[22]  S. Gambhir Molecular imaging of cancer with positron emission tomography , 2002, Nature Reviews Cancer.

[23]  Xiaoyao Fan,et al.  Quantitative fluorescence in intracranial tumor: implications for ALA-induced PpIX as an intraoperative biomarker. , 2011, Journal of neurosurgery.

[24]  E. Sevick-Muraca,et al.  Quantitative optical spectroscopy for tissue diagnosis. , 1996, Annual review of physical chemistry.

[25]  Hak Soo Choi,et al.  Image-Guided Oncologic Surgery Using Invisible Light: Completed Pre-Clinical Development for Sentinel Lymph Node Mapping , 2006, Annals of Surgical Oncology.

[26]  Thomas Pongratz,et al.  ALA and malignant glioma: fluorescence-guided resection and photodynamic treatment. , 2007, Journal of environmental pathology, toxicology and oncology : official organ of the International Society for Environmental Toxicology and Cancer.

[27]  J. Roodenburg,et al.  The status of in vivo autofluorescence spectroscopy and imaging for oral oncology. , 2005, Oral oncology.

[28]  B. Wilson,et al.  In Vivo Fluorescence Spectroscopy and Imaging for Oncological Applications , 1998, Photochemistry and photobiology.

[29]  H. Jiang,et al.  Frequency-domain fluorescent diffusion tomography: a finite-element-based algorithm and simulations. , 1998, Applied optics.

[30]  Huabei Jiang,et al.  A calibration method in diffuse optical tomography , 2004 .