Results 71 to 80 of about 52,953 (291)

Value of 18F-FDG-PET/CT radiomics combined with clinical variables in the differential diagnosis of malignant and benign vertebral compression fractures

EJNMMI Research, 2023
Background Vertebral compression fractures (VCFs) are common clinical problems that arise from various reasons. The differential diagnosis of benign and malignant VCFs is challenging.
Xun Wang, Dandan Zhou, Yu Kong, Nan Cheng, Ming Gao, Guqing Zhang, Junli Ma, Yueqin Chen, Shuang Ge   +8 more
doaj   +1 more source

Transformer‐Based Multitask Framework Integrating Habitat and Deep Learning for Predicting Early Disease Control and Survival in Immunotherapy‐Treated Hepatocellular Carcinoma

Advanced Science, EarlyView.
This study developed ECOS‐Net, a transformer‐based multitask framework integrating CT‐derived habitat and 2.5D deep learning features to simultaneously predict early disease control and overall survival in hepatocellular carcinoma patients treated with immune checkpoint inhibitors.
Xiaona Fu, Yusheng Guo, Bingxin Gong, Jie Lou, Ning Wang, Xuejun Chen, Hongtao Hu, Rundong Wang, Xiaofang Guo, Shanmei Li, Yangyang Xie, Shichao Long, Mengsi Li, Shubo Pan, Wen Shen, Zhaogang Zhang, Zifang Song, Pengchen Liang, Xiaoyun Liang, Peng Sun, Guilin Zhang, Shanshan Jiang, Jinxiang Zhang, Lian Yang   +23 more
wiley   +1 more source

Alignment of Self‐Supervised Learning Representations With Radiomic Features in Multiphase Renal Computed Tomography

iRADIOLOGY
Background Self‐supervised learning (SSL) has emerged as a promising approach in medical image analysis, offering the ability to learn robust feature representations from unlabeled data. However, the extent to which these embeddings align with clinically
S. J. Pawan, R. Prajwal, Mehrnegar Aminy, Tejal Gala, Matthew Muellner, Xiaomeng Lei, Steven Y. Cen, Inderbir Gill, Mihir Desai, Vinay Duddalwar, Assad A. Oberai   +10 more
doaj   +1 more source

Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancerResearch in context

EBioMedicine, 2018
To develop and validate a radiomics signature for the prediction of gastric cancer (GC) survival and chemotherapeutic benefits. In this multicenter retrospective analysis, we analyzed the radiomics features of portal venous-phase computed tomography in ...
Yuming Jiang, Chuanli Chen, Jingjing Xie, Wei Wang, Xuefan Zha, Wenbing Lv, Hao Chen, Yanfeng Hu, Tuanjie Li, Jiang Yu, Zhiwei Zhou, Yikai Xu, Guoxin Li   +12 more
doaj   +1 more source

Transformer‐Based PET/CT Fusion Enables Preoperative Prediction and Prognostic Stratification of Spread Through Air Spaces in Lung Adenocarcinoma

Advanced Science, EarlyView.
An eight‐stream 2.5D Transformer integrates complementary PET metabolic and CT morphologic information to estimate spread‐through‐air‐spaces risk before surgery in lung adenocarcinoma. The model generalizes across independent centers, while its continuous risk score independently stratifies progression‐free survival, supporting further prospective ...
Xin‐Yu Zhu, Meng Meng, Zhen‐Zhen Wang, Deng‐Lu Lu, Ya‐Min Wei, Xu‐Chang Mi, Xing‐Yu Mu, Wei Fu   +7 more
wiley   +1 more source

Utility of Machine Learning and Radiomics Based on Cavity for Predicting the Therapeutic Response of MDR-TB

, 2023
Xinna Lv,1,* Ye Li,1,* Botao Cai,2 Wei He,1 Ren Wang,1 Minghui Chen,1 Junhua Pan,1 Dailun Hou1 1Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China; 2Department of Radiology ...
Cai B, Li Y, Pan J, Wang R, Lv X, He W, Chen M, Hou D   +7 more
core  

Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology

, 2023
A simple PubMed search using the term “radiomics” on February 28, 2023, reveals 7857 publications at the time of the writing, with no time filter applied. Despite this level of research activity, there is a substantial gap between the number of radiomics-
Philipp Seeböck, Kocak, Burak, Pinto dos Santos, Daniel, Seeboeck, Philipp, dos Santos, Daniel Pinto, Kelly, Brendan S, Stuart Williams, Cuocolo, Renato, Witowski, Jan, Burak Kocak, Zhongyi Zhang, Chu, Linda C., Williams, Stuart, Chepelev, Leonid L., Zhang, Zhongyi, Thian, Yee Liang, Daniel Pinto dos Santos, Renato Cuocolo, Yee Liang Thian, Jan Witowski, Kelly, Brendan S., van Hamersvelt, Robbert W., Robbert W. van Hamersvelt, Chu, Linda C, Brendan S. Kelly, Wang, Alan, Chepelev, Leonid L, van Hamersvelt, Robbert W, Linda C. Chu, Alan Wang, Leonid L. Chepelev, Seeböck, Philipp   +31 more
core   +1 more source

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Radiogenomic correlation of hypoxia-related biomarkers in clear cell renal cell carcinoma

Journal of Cancer Research and Clinical Oncology
Purpose This study aimed to evaluate radiomic models’ ability to predict hypoxia-related biomarker expression in clear cell renal cell carcinoma (ccRCC).
Yijun Shao, Harmony S. Cen, Anu Dhananjay, S. J. Pawan, Xiaomeng Lei, Inderbir S. Gill, Anishka D’souza, Vinay A. Duddalwar   +7 more
doaj   +1 more source

A CT-based deep learning-driven tool for automatic liver tumor detection and delineation in patients with cancer

Cell Reports Medicine
Summary: Liver tumors, whether primary or metastatic, significantly impact the outcomes of patients with cancer. Accurate identification and quantification are crucial for effective patient management, including precise diagnosis, prognosis, and therapy ...
Maria Balaguer-Montero, Adrià Marcos Morales, Marta Ligero, Christina Zatse, David Leiva, Luz M. Atlagich, Nikolaos Staikoglou, Cristina Viaplana, Camilo Monreal, Joaquin Mateo, Jorge Hernando, Alejandro García-Álvarez, Francesc Salvà, Jaume Capdevila, Elena Elez, Rodrigo Dienstmann, Elena Garralda, Raquel Perez-Lopez   +17 more
doaj   +1 more source