Evaluation of Chemotherapy Response in Osteosarcoma Using Quantitative Ultrasound: A Pilot Study Relating Ultrasound Parameters to Molecular Response

IF 1.9 4区 医学 Q1 ENGINEERING, BIOMEDICAL
Irbm Pub Date : 2025-12-01 Epub Date: 2025-10-03 DOI:10.1016/j.irbm.2025.100914
Cyril Malinet , Celia Mansilla , Iveta Fajnorova , Coline Ducrot , Adrien Rohfritsch , David Melodelima , Aurélie Dutour , Pauline Muleki-Seya
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引用次数: 0

Abstract

Objectives

Currently, the response to chemotherapeutic treatment for most solid tumors is assessed using the surgical specimen obtained after the tumor is surgically removed, following a whole chemotherapy cycle (e.g. 8 weeks). Therefore, early detection of tumor response is of paramount importance. Parameters derived from the backscatter coefficient (BSC) and envelope statistics provide information on tissue microstructure and may therefore be of interest for monitoring therapies that induce morphological changes in the tumor. In this study, our objective was to detect ex vivo early response to chemotherapy in ex vivo murine osteosarcoma model.

Material an Methods

BSC-derived parameters using Lizzi-Feleppa approach and the Gaussian model and envelop statistics parameters using Nakagami and Homodyned-K distributions were extracted on control and treated tumors. Tumors received either 2, 4, or 5 doses of chemotherapy. To investigate the underlying causes of changes in ultrasound parameters, histological and molecular analyses (RNA sequencing) were conducted.

Results

Although the tumor models show resistance to chemotherapy as evidenced by continued tumor growth at the therapeutic dose used, significant differences between treated and control tumors were observed in several BSC-derived and envelope statistics parameters depending on the number of treatments received.

Conclusion

These differences might reflect early molecular changes occurring before the establishment of chemoresistance mechanisms. They might be attributed to morphological changes linked to the underexpression of genes involved in chromatin condensation and/or collagen within the extracellular matrix. These initial findings require further investigation in a larger cohort.

Abstract Image

定量超声评价骨肉瘤化疗反应:超声参数与分子反应的初步研究
目前,大多数实体瘤的化疗反应是在整个化疗周期(如8周)后,通过手术切除肿瘤后获得的手术标本来评估的。因此,肿瘤反应的早期检测至关重要。从后向散射系数(BSC)和包络统计中得出的参数提供了组织微观结构的信息,因此可能对监测诱导肿瘤形态变化的治疗有兴趣。在这项研究中,我们的目的是检测体外小鼠骨肉瘤模型对化疗的早期反应。材料和方法采用lizzi - felepa方法提取sbsc衍生参数,采用Nakagami和homodyne - k分布提取高斯模型和包络统计参数。肿瘤接受2、4或5次剂量的化疗。为了探讨超声参数变化的根本原因,我们进行了组织学和分子分析(RNA测序)。结果:尽管肿瘤模型在治疗剂量下持续生长,显示出对化疗的耐药性,但根据接受治疗的次数,在几个bsc衍生和包膜统计参数中,观察到治疗肿瘤和对照肿瘤之间存在显著差异。结论这些差异可能反映了化疗耐药机制建立前的早期分子变化。它们可能归因于与细胞外基质中染色质凝聚和/或胶原蛋白相关的基因表达不足有关的形态学变化。这些初步发现需要在更大的队列中进一步调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Irbm
Irbm ENGINEERING, BIOMEDICAL-
CiteScore
10.30
自引率
4.20%
发文量
81
审稿时长
57 days
期刊介绍: IRBM is the journal of the AGBM (Alliance for engineering in Biology an Medicine / Alliance pour le génie biologique et médical) and the SFGBM (BioMedical Engineering French Society / Société française de génie biologique médical) and the AFIB (French Association of Biomedical Engineers / Association française des ingénieurs biomédicaux). As a vehicle of information and knowledge in the field of biomedical technologies, IRBM is devoted to fundamental as well as clinical research. Biomedical engineering and use of new technologies are the cornerstones of IRBM, providing authors and users with the latest information. Its six issues per year propose reviews (state-of-the-art and current knowledge), original articles directed at fundamental research and articles focusing on biomedical engineering. All articles are submitted to peer reviewers acting as guarantors for IRBM''s scientific and medical content. The field covered by IRBM includes all the discipline of Biomedical engineering. Thereby, the type of papers published include those that cover the technological and methodological development in: -Physiological and Biological Signal processing (EEG, MEG, ECG…)- Medical Image processing- Biomechanics- Biomaterials- Medical Physics- Biophysics- Physiological and Biological Sensors- Information technologies in healthcare- Disability research- Computational physiology- …
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