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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Translation of Intravital microscopy findings is challenged by its shallow depth penetration into tissue. Here we describe a dorsal window chamber mouse model that enables co-registration of intravital microscopy and clinically applicable imaging modalities (e.g., CT, MRI) for direct spatial correlation, potentially streamlining clinical translation of intravital microscopy findings.

Abstract

Preclinical intravital imaging such as microscopy and optical coherence tomography have proven to be valuable tools in cancer research for visualizing the tumor microenvironment and its response to therapy. These imaging modalities have micron-scale resolution but have limited use in the clinic due to their shallow penetration depth into tissue. More clinically applicable imaging modalities such as CT, MRI, and PET have much greater penetration depth but have comparatively lower spatial resolution (mm scale).

To translate preclinical intravital imaging findings into the clinic, new methods must be developed to bridge this micro-to-macro resolution gap. Here we describe a dorsal skinfold window chamber tumor mouse model designed to enable preclinical intravital and clinically applicable (CT and MR) imaging in the same animal, and the image analysis platform that links these two disparate visualization methods. Importantly, the described window chamber approach enables the different imaging modalities to be co-registered in 3D using fiducial markers on the window chamber for direct spatial concordance. This model can be used for validation of existing clinical imaging methods, as well as for the development of new ones through direct correlation with "ground truth" high-resolution intravital findings.

Finally, the tumor response to various treatments-chemotherapy, radiotherapy, photodynamic therapy-can be monitored longitudinally with this methodology using preclinical and clinically applicable imaging modalities. The dorsal skinfold window chamber tumor mouse model and imaging platforms described here can thus be used in a variety of cancer research studies, for example, in translating preclinical intravital microscopy findings to more clinically applicable imaging modalities such as CT or MRI.

Introduction

Tumor microvasculature is an important component of the tumor microenvironment that can be a target for therapy and a determinant of treatment response. In the preclinical setting, the microvasculature is typically studied using intravital microscopy in orthotopic or heterotopic window chamber animal models1,2. This has several advantages over histological studies since the imaging is done in live tissues and the tumor can be monitored longitudinally over several weeks or even months2,3. These studies can leverage the high-resolution imaging capabiliti....

Protocol

All animal procedures were performed in accordance with the Guide to the Care and Use of Experimental Animals which is set forth by the Canadian Council on Animal Care. Experiments were performed according to a protocol approved by the University Health Network Institutional Animal Care and Use Committee in Toronto, Canada.

1. Tumor inoculation landmarking

NOTE: "Landmarking" refers to the process of marking the skin of the mouse to indicate w.......

Representative Results

Speckle variance optical coherence tomography (svOCT) was performed to obtain large field-of-view (FOV) 3D microvascular images (6 x 6 mm2 lateral x 1 mm depth). To obtain these images, a previously described swept source OCT system based on a quadrature interferometer was used23. OCT images were acquired by stitching together two laterally adjacent 3 x 6 mm2 FOV scans. Each B-scan consisted of 400 A-scans and was performed 24x per location (25 ms apart) to enable accurate sp.......

Discussion

In this work, we have developed a workflow to perform both intravital microscopy and clinically applicable imaging (CT, MRI, and PET) in the same animal. This was done with the goal of translating preclinical microscopy findings to the clinic by direct correlation of intravital microscopy with clinical imaging modalities such as MRI. Although conventional DSFC designs are made of metal2,3, we have adapted the DSFC to be MR-compatible by using 3D-printed window ch.......

Acknowledgements

We thank Dr. Carla Calçada (Postdoctoral Fellow, Princess Margaret Cancer Centre) and Dr. Timothy Samuel (Ph.D. Student, Princess Margaret Cancer Centre) for help with tumor cell culturing and inoculation protocol development. Dr. Kathleen Ma, Dr. Anna Pietraszek, and Dr. Alyssa Goldstein (Animal Research Centre, Princess Margaret Cancer Centre) helped with surgery protocol development. Jacob Broske (Medical Engineering Technologist, Princess Margaret Cancer Centre) and Wayne Keller (Hardware Client Executive, Javelin Technologies – A TriMech Group Company) 3D printed the window chambers. James Jonkman (Advanced Optical Microscopy Facility, University Healt....

Materials

NameCompanyCatalog NumberComments
Cell Culture Materials
BxPC-3 Human Pancreatic Cancer CellsATCC (American Type Culture Collection)CRL-1687
Corning Matrigel Basement Membrane Matrix, LDEV-free, 10 mLCorning354234
Corning Stripettor Ultra Pipet ControllerCorning07-202-350
Dulbecco Phospphate buffered saline without Calcium, Magnesium, or phenol red, 500 mLGibco14190144
Fetal Bovine Serum (Canada), 500 mLSigma-AldrichF1051-500ML
Penicillin-Streptomycin 100x (liquid,stabilized, sterile-filtered, cell culture tested)Sigma-AldrichP4333-100ML
RPMI Medium 1640 (1x), liquid; with L-Glutamine, 500 mLGibco11875093
TrypLE Express Enzyme, 500 mLGibco12605028
Window Chamber Materials
12 mm Glass CoverslipHarvard Apparatus  CS-12R No. 1.5
Connex 500 3D PrinterStratasysN/A
Biocompatible clear MED610 resinStratasys RGD810
Loctite AA 3105 UV curable glueLoctiteLCT1214249
Window chamber back frameTrimech IncN/A
Window chamber fiducial markerTrimech IncN/A
Window Chamber front frameTrimech IncN/A
Window chamber support clipTrimech IncN/A
inoculation and Surgery Materials
BD SafetyGlide Insulin Syringes with Permanently Attached Needles, 0.5 mL, 29 G x 1/2"BDCABD305932
Betadine SolutionBetadineAP-B002C2R98U
Cidex OPA 14 Day Solution 3.8 LASPJOH20394
Disposable Surgical Underpads 23 inch x 24 inchKendall7134
Eye lubricant  Optixcare50-218-8442
Hair removal creamNair‎061700222611
Halstead Hemostatic ForcepsAlmedic7742-A12-150
Heating padSunbeam B086MCN59R
Iris ScissorsAlmedic7601-A8-690
IsofluraneSigma792632
Metacam Boehringer Ingelheim Animal Health USA IncNDC 0010-6015-03
NOD.Cg-Rag1tm1Mom Il2rgtm1Wjl/SzJ mousethe Jackson laboratory7799
Peanut Clipper & TrimmerWahl8655-200
 SOFSILK Nonabsorbable Surgical Suture #5-0 with 3/8" Taper point needle (17 mm) (Wax Coated,Braided Black Silk, Sterile)  Syneture  VS880
Splinter ForcepsAlmedic7725-A10-634
MR Imaging
3D printed window chamber immobilization device.custom 3D printed, refer to figure 3 for details.
Convection heating device3M Bair Hugger70200791401
Drug injection systemHarvard Apparatus  PY2 70-2131PHD 22/2200 MRI compatible Syringe Pump
Gadovist 1.0Bayer2241089
Respiratory monitoring systemSAIIModel 1030MR-compatible monitoring and gating system for small animals.
Tail vein catheter (27 G 0.5" )Terumo Medical Corp15253
Optical Imaging
3D printed imaging stageCustom 3D printed, refer to supplementary figure 3 for details.
12 V 7 W Flexible Polyimide Heater Plate Thin Adhesive PI Heating Film 25 mm x 50 mmBANRIA B09X16XCVSHeating element used for mouse body temeprature regulation.
DC power supplyBK Precission1761Used to power the heating element.
Leica MZ FLIIILeica Microsystems15209
svOCT imaging systemIn-house made imaging system. Details can be found in reference 23.
Software
MATLAB SoftwareMathWorksR2020A

References

  1. Fukumura, D., Duda, D. G., Munn, L. L., Jain, R. K. Tumor microvasculature and microenvironment: Novel insights through intravital imaging in pre-clinical models. Microcirculation. 17 (3), 206-225 (2010).
  2. Demidov, V., et al.

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