Results 11 to 20 of about 70,067 (222)

Feasibility of using CT radiomic signatures for predicting CD8-T cell infiltration and PD-L1 expression in renal cell carcinoma

European Journal of Radiology Open, 2022
Objectives: To identify computed tomography (CT)-based radiomic signatures of cluster of differentiation 8 (CD8)-T cell infiltration and programmed cell death ligand 1 (PD-L1) expression levels in patients with clear-cell renal cell carcinoma (ccRCC ...
Bino Varghese, Steven Cen, Haris Zahoor, Imran Siddiqui, Manju Aron, Akash Sali, Suhn Rhie, Xiaomeng Lei, Marielena Rivas, Derek Liu, Darryl Hwang, David Quinn, Mihir Desai, Ulka Vaishampayan, Inderbir Gill, Vinay Duddalwar   +15 more
doaj   +1 more source

Lung radiomics features for characterizing and classifying COPD stage based on feature combination strategy and multi-layer perceptron classifier

Mathematical Biosciences and Engineering, 2022
Computed tomography (CT) has been the most effective modality for characterizing and quantifying chronic obstructive pulmonary disease (COPD). Radiomics features extracted from the region of interest in chest CT images have been widely used for lung ...
Yingjian Yang , Wei Li , Yingwei Guo , Nanrong Zeng, Shicong Wang , Ziran Chen, Yang Liu, Huai Chen, Wenxin Duan, Xian Li , Wei Zhao, Rongchang Chen , Yan Kang   +12 more
doaj   +1 more source

Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma

Scientific Reports, 2021
Glioblastoma is the most common primary brain tumor. Standard therapy consists of maximum safe resection combined with adjuvant radiochemotherapy followed by chemotherapy with temozolomide, however prognosis is extremely poor.
Alonso Garcia-Ruiz, Pablo Naval-Baudin, Marta Ligero, Albert Pons-Escoda, Jordi Bruna, Gerard Plans, Nahum Calvo, Monica Cos, Carles Majós, Raquel Perez-Lopez   +9 more
doaj   +1 more source

A delta radiomics model based on ultrasound images predicts response to neoadjuvant therapy in triple negative breast cancer. [PDF]

J Appl Clin Med Phys
Abstract Background Breast cancer is a common malignancy in women worldwide, with triple negative breast cancer (TNBC) being a particularly aggressive subtype. Current methods for assessing neoadjuvant therapy (NAT) response are often delayed, limiting timely adjustments to therapy.
Chen Q, Qin X, Du H, Ma X, Tan S.
europepmc   +2 more sources

Exploring the Value of Radiomics Features Based on B-Mode and Contrast-Enhanced Ultrasound in Discriminating the Nature of Thyroid Nodules

Frontiers in Oncology, 2021
BackgroundWith the improvement of ultrasound imaging resolution and the application of various new technologies, the detection rate of thyroid nodules has increased greatly in recent years. However, there are still challenges in accurately diagnosing the
Shi Yan Guo, Ping Zhou, Yan Zhang, Li Qing Jiang, Yong Feng Zhao   +4 more
doaj   +1 more source

Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software. [PDF]

, 2017
ObjectiveThe purpose of this study was to evaluate the reliability and quality of radiomic features in glioblastoma multiforme (GBM) derived from tumor volumes obtained with semi-automated tumor segmentation software.Materials and methodsMR images of 45 ...
Jamshidi, Neema, Kim, Jong Hyo, Kuo, Michael D, Lee, Myungeun, Woo, Boyeong   +4 more
core   +1 more source

Deep segmentation networks predict survival of non-small cell lung cancer [PDF]

, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography-computed
Allen, Bryan, Baek, Stephen, Baek, Stephen, Buatti, John, Cabel, Katherine, Diehn, Maximilian, Gannon, Maggie, He, Yusen, Kim, Yusung, Loo, Billy, Plichta, Kristin, Seyedin, Steven, Smith, Brian, Sun, Zhiyu, Tong, Ling, Wu, Jia, Wu, Xiaodong   +16 more
core   +2 more sources

Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics Nomogram

Frontiers in Oncology, 2021
ObjectiveTo build and validate an MRI-based radiomics nomogram to predict the therapeutic response to neoadjuvant chemoradiotherapy (nCRT) in rectal mucinous adenocarcinoma (RMAC).MethodsTotally, 92 individuals with pathologically confirmed RMAC ...
Zhihui Li, Shuai Li, Shuqin Zang, Xiaolu Ma, Fangying Chen, Yuwei Xia, Liuping Chen, Fu Shen, Yong Lu, Jianping Lu   +9 more
doaj   +1 more source

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. [PDF]

, 2016
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic "feature" sets to characterize tumors, in ...
Balagurunathan, Yoganand, Cha, Kenny, Cherezov, Dmitry, Dilger, Samantha KN, Driscoll, Brandan, Echegaray, Sebastian, Gillies, Robert, Goldgof, Dmitry, Hadjiiski, Lubomir, Kalpathy-Cramer, Jayashree, Lo, Pechin, Lu, Lin, Mamomov, Artem, McNitt-Gray, Michael, Napel, Sandy, Rubin, Daniel, Sieren, Jessica C, Uthoff, Johanna, Yeung, Ivan, Zhao, Binsheng   +19 more
core   +2 more sources

A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer. [PDF]

, 2016
Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts.
Echegaray, Sebastian, Gevaert, Olivier, Kadoch, Michael, Leung, Ann, Nair, Viswam, Napel, Sandy, Rubin, Daniel   +6 more
core   +1 more source