AIM: To propose an innovative methodology for the monitoring of the evolution of induced subcutaneous tumors in mice. MATERIALS AND METHODS: A new 3D scanner able to measure the tumor mass volume is presented. The scanner is based on the projection of a fringe pattern onto the sample surface (structured light). The lines are diffused by the sample and then collected by a digital camera. The obtained 2D-image is treated by the scanner's software that extracts the 3D information and evaluates the sample volume. RESULTS: The 3D scanner has been successfully used in the measurement of subcutaneous HT-29 colorectal cancer xenografts treated with 5-fluorouracil, bevacizumab and their combination. Comparison with simple caliper measurements revealed important and significant differences between the two measurement techniques. CONCLUSION: The proposed methodology is more effective than the usual approach based on caliper measurements.
AIM: To propose an innovative methodology for the monitoring of the evolution of induced subcutaneous tumors in mice. MATERIALS AND METHODS: A new 3D scanner able to measure the tumor mass volume is presented. The scanner is based on the projection of a fringe pattern onto the sample surface (structured light). The lines are diffused by the sample and then collected by a digital camera. The obtained 2D-image is treated by the scanner's software that extracts the 3D information and evaluates the sample volume. RESULTS: The 3D scanner has been successfully used in the measurement of subcutaneous HT-29 colorectal cancer xenografts treated with 5-fluorouracil, bevacizumab and their combination. Comparison with simple caliper measurements revealed important and significant differences between the two measurement techniques. CONCLUSION: The proposed methodology is more effective than the usual approach based on caliper measurements.
Entities:
Keywords:
3D scanner; Biometry; colorectal cancer; subcutaneous tumor measurements
Authors: Juan Delgado-SanMartin; Beate Ehrhardt; Marcin Paczkowski; Sean Hackett; Andrew Smith; Wajahat Waraich; James Klatzow; Adeala Zabair; Anna Chabokdast; Leonardo Rubio-Navarro; Amar Rahi; Zena Wilson Journal: PLoS One Date: 2019-10-14 Impact factor: 3.240
Authors: Wei Xu; Brittany A Foster; Mackenzie Richards; Kenneth R Bondioli; Girish Shah; Christopher C Green Journal: Int J Oncol Date: 2017-11-06 Impact factor: 5.650