皮下肿瘤高度变化趋势及其对测量精度的影响。

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Daniel Brough, Hope Amos, Karl Turley, Jake Murkin
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引用次数: 2

摘要

肿瘤体积通常仅使用长度和宽度测量来计算,以1:1的比例使用宽度代替高度。当随时间跟踪肿瘤生长时,忽略高度会丢失重要的形态学信息和测量精度,我们发现高度是一个独特的变量。采用三维和热成像技术测量9522个小鼠皮下肿瘤的长度、宽度和高度。平均高宽比为1:3,证明用宽度代替高度高估了肿瘤体积。将考虑和不考虑肿瘤高度的计算体积与切除肿瘤的真实体积进行比较确实表明,使用包括高度在内的体积公式产生的体积比实际精确36倍(基于百分比差异)。监测肿瘤生长曲线的高度:宽度关系(突出)表明突出变化,并且高度可以独立于宽度变化。分别研究了12个细胞系;肿瘤突出程度与细胞系相关,肿瘤突出程度相对较低(MC38、BL2、LL/2),肿瘤突出程度较高(RENCA、HCT116)。整个生长周期的显著趋势也依赖于细胞系;在一些细胞系(4T1、CT26、LNCaP)中,突出与肿瘤生长相关,而在其他细胞系(MC38、TC-1、LL/2)中则无关。当合并时,侵袭性细胞系产生的肿瘤在体积> 1200mm3时明显低于非侵袭性细胞系(P
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Trends in Subcutaneous Tumour Height and Impact on Measurement Accuracy.

Trends in Subcutaneous Tumour Height and Impact on Measurement Accuracy.

Trends in Subcutaneous Tumour Height and Impact on Measurement Accuracy.

Trends in Subcutaneous Tumour Height and Impact on Measurement Accuracy.

Tumour volume is typically calculated using only length and width measurements, using width as a proxy for height in a 1:1 ratio. When tracking tumour growth over time, important morphological information and measurement accuracy is lost by ignoring height, which we show is a unique variable. Lengths, widths, and heights of 9522 subcutaneous tumours in mice were measured using 3D and thermal imaging. The average height:width ratio was found to be 1:3 proving that using width as a proxy for height overestimates tumour volume. Comparing volumes calculated with and without tumour height to the true volumes of excised tumours indeed showed that using the volume formula including height produced volumes 36X more accurate (based off of percentage difference). Monitoring the height:width relationship (prominence) across tumour growth curves indicated that prominence varied, and that height could change independent of width. Twelve cell lines were investigated individually; the scale of tumour prominence was cell line-dependent with relatively less prominent tumours (MC38, BL2, LL/2) and more prominent tumours (RENCA, HCT116) detected. Prominence trends across the growth cycle were also dependent on cell line; prominence was correlated with tumour growth in some cell lines (4T1, CT26, LNCaP), but not others (MC38, TC-1, LL/2). When pooled, invasive cell lines produced tumours that were significantly less prominent at volumes >1200 mm3 compared to non-invasive cell lines (P < .001). Modelling was used to show the impact of the increased accuracy gained by including height in volume calculations on several efficacy study outcomes. Variations in measurement accuracy contribute to experimental variation and irreproducibility of data, therefore we strongly advise researchers to measure height to improve accuracy in tumour studies.

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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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