An innovative non-invasive technique for subcutaneous tumour measurements

Autoři: Juan Delgado-SanMartin aff001;  Beate Ehrhardt aff002;  Marcin Paczkowski aff001;  Sean Hackett aff001;  Andrew Smith aff001;  Wajahat Waraich aff001;  James Klatzow aff001;  Adeala Zabair aff001;  Anna Chabokdast aff001;  Leonardo Rubio-Navarro aff001;  Amar Rahi aff003;  Zena Wilson aff003
Působiště autorů: Fuel3D, Oxford Science Park, Oxford, England, United Kingdom aff001;  AstraZeneca IMED Biotech Unit, Discovery Sciences, Cambridge Science Park, Cambridge, England, United Kingdom aff002;  AstraZeneca IMED Biotech Unit, Oncology, Alderley Park, Macclesfield, England, United Kingdom aff003
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: 10.1371/journal.pone.0216690



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.


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.

Klíčová slova:

Animal performance – Animal welfare – Cancer treatment – Computed axial tomography – Magnetic resonance imaging – Mouse models – Oncology – Statistical data


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2019 Číslo 10