1
|
Delgado-SanMartin J, Ehrhardt B, Paczkowski M, Hackett S, Smith A, Waraich W, Klatzow J, Zabair A, Chabokdast A, Rubio-Navarro L, Rahi A, Wilson Z. An innovative non-invasive technique for subcutaneous tumour measurements. PLoS One 2019; 14:e0216690. [PMID: 31609977 PMCID: PMC6791540 DOI: 10.1371/journal.pone.0216690] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 09/20/2019] [Indexed: 01/17/2023] Open
Abstract
Introduction In oncological drug development, animal studies continue to play a central role in which the volume of subcutaneous tumours is monitored to assess the efficacy of new drugs. The tumour volume is estimated by taking the volume to be that of a regular spheroid with the same dimensions. However, this method is subjective, insufficiently traceable, and is subject to error in the accuracy of volume estimates as tumours are frequently irregular. Methods & results This paper reviews the standard technique for tumour volume assessment, calliper measurements, by conducting a statistical review of a large dataset consisting of 2,500 tumour volume measurements from 1,600 mice by multiple operators across 6 mouse strains and 20 tumour models. Additionally, we explore the impact of six different tumour morphologies on volume estimation and the detection of treatment effects using a computational tumour growth model. Finally, we propose an alternative method to callipers for estimating volume–BioVolumeTM, a 3D scanning technique. BioVolume simultaneously captures both stereo RGB (Red, Green and Blue) images from different light sources and infrared thermal images of the tumour in under a second. It then detects the tumour region automatically and estimates the tumour volume in under a minute. Furthermore, images can be processed in parallel within the cloud and so the time required to process multiple images is similar to that required for a single image. We present data of a pre-production unit test consisting of 297 scans from over 120 mice collected by four different operators. Conclusion This work demonstrates that it is possible to record tumour measurements in a rapid minimally invasive, morphology-independent way, and with less human-bias compared to callipers, whilst also improving data traceability. Furthermore, the images collected by BioVolume may be useful, for example, as a source of biomarkers for animal welfare and secondary drug toxicity / efficacy.
Collapse
Affiliation(s)
| | - Beate Ehrhardt
- AstraZeneca IMED Biotech Unit, Discovery Sciences, Cambridge Science Park, Cambridge, England, United Kingdom
| | | | - Sean Hackett
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | - Andrew Smith
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | - Wajahat Waraich
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | - James Klatzow
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | - Adeala Zabair
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | - Anna Chabokdast
- Fuel3D, Oxford Science Park, Oxford, England, United Kingdom
| | | | - Amar Rahi
- AstraZeneca IMED Biotech Unit, Oncology, Alderley Park, Macclesfield, England, United Kingdom
| | - Zena Wilson
- AstraZeneca IMED Biotech Unit, Oncology, Alderley Park, Macclesfield, England, United Kingdom
| |
Collapse
|
2
|
Delgado-SanMartin JA, Hare JI, Davies EJ, Yates JWT. Erratum to: Multiscalar cellular automaton simulates in-vivo tumour-stroma patterns calibrated from in-vitro assay data. BMC Med Inform Decis Mak 2017. [PMID: 28645280 PMCID: PMC5482949 DOI: 10.1186/s12911-017-0492-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
|