Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer

doi:10.3389/fendo.2024.1378360

科研成果详情

题名	Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer
作者	Wang, Qingxuan1,2; Dai, Linghui 3; Lin, Sisi4; Zhang, Shuwei5; Wen, Jing1; Chen, Endong5; Li, Quan5; You, Jie1; Qu, Jinmiao1; Ni, Chunjue6; Cai, Yefeng1,7
发表日期	2024-08-14
发表期刊	FRONTIERS IN ENDOCRINOLOGY 影响因子和分区
语种	英语
原始文献类型	Article
关键词	thyroid nodules genetic test PTC radiomics diagnostic model
其他关键词	FINE-NEEDLE-ASPIRATION ; PREOPERATIVE DIAGNOSIS ; PROSTATE-CANCER ; BRAF MUTATION ; NODULES ; EXPRESSION ; ACCURACY ; CYTOLOGY ; IMPACT
摘要	Background A preoperative diagnosis to distinguish malignant from benign thyroid nodules accurately and sensitively is urgently important. However, existing clinical methods cannot solve this problem satisfactorily. The aim of this study is to establish a simple, economic approach for preoperative diagnosis in eastern population.Methods Our retrospective study included 86 patients with papillary thyroid cancer and 29 benign cases. The ITK-SNAP software was used to draw the outline of the area of interest (ROI), and Ultrosomics was used to extract radiomic features. Whole-transcriptome sequencing and bioinformatic analysis were used to identify candidate genes for thyroid nodule diagnosis. RT-qPCR was used to evaluate the expression levels of candidate genes. SVM diagnostic model was established based on the METLAB 2022 platform and LibSVM 3.2 language package.Results The radiomic model was first established. The accuracy is 73.0%, the sensitivity is 86.1%, the specificity is 17.6%, the PPV is 81.6%, and the NPV is 23.1%. Then, CLDN10, HMGA2, and LAMB3 were finally screened for model building. All three genes showed significant differential expressions between papillary thyroid cancer and normal tissue both in our cohort and TCGA cohort. The molecular model was established based on these genetic data and partial clinical information. The accuracy is 85.9%, the sensitivity is 86.1%, the specificity is 84.6%, the PPV is 96.9%, and the NPV is 52.4%. Considering that the above two models are not very effective, We integrated and optimized the two models to construct the final diagnostic model (C-thyroid model). In the training set, the accuracy is 96.7%, the sensitivity is 100%, the specificity is 93.8%, the PPV is 93.3%, and the NPV is 100%. In the validation set, the accuracy is 97.6%, the sensitivity remains 100%, the specificity is 84.6%, the PPV is 97.3%, and the NPV is 100%.Discussion A diagnostic panel is successfully established for eastern population through a simple, economic approach using only four genes and clinical data.
资助项目	Scientific Research Incubator Project of The First Affiliated Hospital of Wenzhou Medical University [FHY2019060]; Wenzhou Science and Technology Planning Project [ZY2023024]; Wenzhou Basic Public Welfare Research Project [Y2023153, Y2023151]
出版者	FRONTIERS MEDIA SA
ISSN	1664-2392
卷号	15
DOI	10.3389/fendo.2024.1378360
页数	10
WOS类目	Endocrinology & Metabolism
WOS研究方向	Endocrinology & Metabolism
WOS记录号	WOS:001298664800001
收录类别	SCIE ; PUBMED
URL	查看原文
PubMed ID	39205691
通讯作者地址	[Cai, Yefeng]Wenzhou Med Univ, Dept Thyroid Surg, Affiliated Hosp 1, Natl Key Clin Specialty Gen Surg, Wenzhou, Zhejiang, Peoples R China. ; [Ni, Chunjue]Wenzhou Med Univ, Affiliated Hosp 1, Dept Anesthesiol, Wenzhou, Zhejiang, Peoples R China. ; [Cai, Yefeng]Zhejiang Prov Clin Res Ctr Malignant Tumor, Hangzhou, Zhejiang, Peoples R China.
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/217425
专题	附属第一医院附属第一医院_麻醉科附属第一医院_手术室
通讯作者	Ni, Chunjue; Cai, Yefeng
作者单位	1.Wenzhou Med Univ, Dept Thyroid Surg, Affiliated Hosp 1, Natl Key Clin Specialty Gen Surg, Wenzhou, Zhejiang, Peoples R China; 2.Wenzhou Med Univ, Affiliated Hosp 1, Zhejiang Key Lab Intelligent Canc Biomarker Discov, Wenzhou, Peoples R China; 3.Nanjing Univ, Nanjing Drum Tower Hosp, Affiliated Hosp Med Sch, Dept Gen Surg,Div thyroid Surg, Nanjing, Jiangsu, Peoples R China; 4.Wenzhou Med Univ, Affiliated Hosp 1, Dept Operating Room, Wenzhou, Zhejiang, Peoples R China; 5.Wenzhou Med Univ, Affiliated Hosp 1, Dept Breast Surg, Wenzhou, Zhejiang, Peoples R China; 6.Wenzhou Med Univ, Affiliated Hosp 1, Dept Anesthesiol, Wenzhou, Zhejiang, Peoples R China; 7.Zhejiang Prov Clin Res Ctr Malignant Tumor, Hangzhou, Zhejiang, Peoples R China
第一作者单位	附属第一医院
通讯作者单位	附属第一医院; 麻醉科
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Wang, Qingxuan,Dai, Linghui,Lin, Sisi,et al. Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer[J]. FRONTIERS IN ENDOCRINOLOGY,2024,15.
APA	Wang, Qingxuan., Dai, Linghui., Lin, Sisi., Zhang, Shuwei., Wen, Jing., ... & Cai, Yefeng. (2024). Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer. FRONTIERS IN ENDOCRINOLOGY, 15.
MLA	Wang, Qingxuan,et al."Combining radiomics and molecular biomarkers: a novel economic tool to improve diagnostic ability in papillary thyroid cancer".FRONTIERS IN ENDOCRINOLOGY 15(2024).