Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors
Neoadjuvant therapy is widely used for treating malignant tumors, but its efficacy varies among patients. Currently, tools or biomarkers for early and accurate evaluation of the efficacy of neoadjuvant therapy are lacking. The advent of radiomics and pathomics offers new avenues for refining neoadju...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | Translational Oncology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523325001664 |
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| _version_ | 1849694494883053568 |
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| author | Jiayi Wang Jiahui Dai Yangxi Cheng Xirui Wang Rui Deng Huiyong Zhu |
| author_facet | Jiayi Wang Jiahui Dai Yangxi Cheng Xirui Wang Rui Deng Huiyong Zhu |
| author_sort | Jiayi Wang |
| collection | DOAJ |
| description | Neoadjuvant therapy is widely used for treating malignant tumors, but its efficacy varies among patients. Currently, tools or biomarkers for early and accurate evaluation of the efficacy of neoadjuvant therapy are lacking. The advent of radiomics and pathomics offers new avenues for refining neoadjuvant therapy strategies and could provide high-performance predictive tools. The integration of multi-omics represents an emerging area of research. The introduction of radiopathomics offers innovative approaches to studying the efficacy of neoadjuvant therapy. This article reviews the current developments in multi-omics integration, the advances in the use of radiopathomics to predict the efficacy of neoadjuvant therapy, and the challenges faced by ongoing research. |
| format | Article |
| id | doaj-art-eea930377ca141998f7496f32a885831 |
| institution | DOAJ |
| issn | 1936-5233 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj-art-eea930377ca141998f7496f32a8858312025-08-20T03:20:03ZengElsevierTranslational Oncology1936-52332025-08-015810243510.1016/j.tranon.2025.102435Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumorsJiayi Wang0Jiahui Dai1Yangxi Cheng2Xirui Wang3Rui Deng4Huiyong Zhu5Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; School of Medicine, Zhejiang University, Hangzhou 310058, ChinaDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; School of Medicine, Zhejiang University, Hangzhou 310058, ChinaDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; School of Medicine, Zhejiang University, Hangzhou 310058, ChinaDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; School of Medicine, Zhejiang University, Hangzhou 310058, ChinaDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; School of Medicine, Zhejiang University, Hangzhou 310058, ChinaDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; Corresponding author.Neoadjuvant therapy is widely used for treating malignant tumors, but its efficacy varies among patients. Currently, tools or biomarkers for early and accurate evaluation of the efficacy of neoadjuvant therapy are lacking. The advent of radiomics and pathomics offers new avenues for refining neoadjuvant therapy strategies and could provide high-performance predictive tools. The integration of multi-omics represents an emerging area of research. The introduction of radiopathomics offers innovative approaches to studying the efficacy of neoadjuvant therapy. This article reviews the current developments in multi-omics integration, the advances in the use of radiopathomics to predict the efficacy of neoadjuvant therapy, and the challenges faced by ongoing research.http://www.sciencedirect.com/science/article/pii/S1936523325001664RadiomicsPathomicsMulti-omicsNeoadjuvant therapyEfficacy |
| spellingShingle | Jiayi Wang Jiahui Dai Yangxi Cheng Xirui Wang Rui Deng Huiyong Zhu Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors Translational Oncology Radiomics Pathomics Multi-omics Neoadjuvant therapy Efficacy |
| title | Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| title_full | Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| title_fullStr | Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| title_full_unstemmed | Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| title_short | Advances in the use of Radiomics and Pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| title_sort | advances in the use of radiomics and pathomics for predicting the efficacy of neoadjuvant therapy in tumors |
| topic | Radiomics Pathomics Multi-omics Neoadjuvant therapy Efficacy |
| url | http://www.sciencedirect.com/science/article/pii/S1936523325001664 |
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