The role of radiomics in tongue cancer: A new tool for prognosis prediction

Author:

Mossinelli Chiara1,Tagliabue Marta12ORCID,Ruju Francesca3,Cammarata Giulio4,Volpe Stefania56ORCID,Raimondi Sara4,Zaffaroni Mattia5,Isaksson Johannes Lars5,Garibaldi Cristina7,Cremonesi Marta7,Corso Federica489,Gaeta Aurora4,Emili Ilaria310,Zorzi Stefano1,Alterio Daniela5,Marvaso Giulia56ORCID,Pepa Matteo5,De Fiori Elvio3,Maffini Fausto11,Preda Lorenzo1213,Benazzo Marco1214,Jereczek‐Fossa Barbara Alicja56,Ansarin Mohssen1ORCID

Affiliation:

1. Department of Otorhinolaryngology and Head and Neck Surgery European Institute of Oncology, IRCCS Milan Italy

2. Department of Biomedical Sciences University of Sassari Sassari Italy

3. Division of Radiology IEO, European Institute of Oncology, IRCCS Milan Italy

4. Department of Experimental Oncology IEO European Institute of Experimental Oncology IRCCS Milan Italy

5. Division of Radiation Oncology European Institute of Oncology, IRCCS Milan Italy

6. Department of Oncology and Hemato‐Oncology University of Milan Milan Italy

7. Unit of Radiation Research IEO European Institute of Oncology, IRCCS Milan Italy

8. Department of Mathematics (DMAT) Politecnico di Milano Milan Italy

9. Centre for Health Data Science (CHDS) Human Techonopole

10. ASST Centro Specialistico Ortopedico Traumatologico G. Pini/C.T.O Milan Italy

11. Division of Pathology IEO, European Institute of Oncology, IRCCS Milan Italy

12. Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences University of Pavia Pavia Italy

13. Division of Radiology Fondazione IRCCS Policlinico San Matteo Pavia Italy

14. Department of Otorhinolaryngology Fondazione IRCCS Policlinico San Matteo Pavia Italy

Abstract

AbstractBackgroundRadiomics represents an emerging field of precision‐medicine. Its application in head and neck is still at the beginning.MethodsRetrospective study about magnetic resonance imaging (MRI) based radiomics in oral tongue squamous cell carcinoma (OTSCC) surgically treated (2010–2019; 79 patients). All preoperative MRIs include different sequences (T1, T2, DWI, ADC). Tumor volume was manually segmented and exported to radiomic‐software, to perform feature extraction. Statistically significant variables were included in multivariable analysis and related to survival endpoints. Predictive models were elaborated (clinical, radiomic, clinical‐radiomic models) and compared using C‐index.ResultsIn almost all clinical‐radiomic models radiomic‐score maintained statistical significance. In all cases C‐index was higher in clinical‐radiomic models than in clinical ones. ADC provided the best fit to the models (C‐index 0.98, 0.86, 0.84 in loco‐regional recurrence, cause‐specific mortality, overall survival, respectively).ConclusionMRI‐based radiomics in OTSCC represents a promising noninvasive method of precision medicine, improving prognosis prediction before surgery.

Publisher

Wiley

Subject

Otorhinolaryngology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3