Original Research

Published on 19 Apr 2023

A modified method for CT radiomics region-of-interest segmentation in adrenal lipid-poor adenomas: a two-institution comparative study

in Cancer Imaging and Image-directed Interventions

Hanlin Zhu
Mengwei Wu
Peiying Wei
Min Tian
Tong Zhang
Chunfeng Hu
Zhijiang Han

Frontiers in Oncology

doi 10.3389/fonc.2023.1086039

663 views

Original Research

Published on 18 Apr 2023

Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

in Cancer Imaging and Image-directed Interventions

Chao-Chun Chang
En-Kuei Tang
Yu-Feng Wei
Chia-Ying Lin
Fu-Zong Wu
Ming-Ting Wu
Yi-Sheng Liu
Yi-Ting Yen
Mi-Chia Ma
Yau-Lin Tseng

Frontiers in Oncology

doi 10.3389/fonc.2023.1105100

1,338 views
1 citation

Original Research

Published on 18 Apr 2023

Comprehensive analysis of prediction of the EGFR mutation and subtypes based on the spinal metastasis from primary lung adenocarcinoma

in Cancer Imaging and Image-directed Interventions

Ran Cao
Huanhuan Chen
Huan Wang
Yan Wang
E-Nuo Cui
Wenyan Jiang

Frontiers in Oncology

doi 10.3389/fonc.2023.1154327

1,219 views

Original Research

Published on 14 Apr 2023

Identification of a novel peptide targeting TIGIT to evaluate immunomodulation of 125I seed brachytherapy in HCC by near-infrared fluorescence

in Cancer Imaging and Image-directed Interventions

Peng Zeng
Duo Shen
Wenbin Shu
Shudan Min
Min Shu
Xijuan Yao
Yong Wang
Rong Chen

Frontiers in Oncology

doi 10.3389/fonc.2023.1143266

987 views

Methods

Published on 14 Apr 2023

Medical image segmentation based on self-supervised hybrid fusion network

in Cancer Imaging and Image-directed Interventions

Liang Zhao
Chaoran Jia
Jiajun Ma
Yu Shao
Zhuo Liu
Hong Yuan

Frontiers in Oncology

doi 10.3389/fonc.2023.1109786

1,628 views
1 citation

Original Research

Published on 13 Apr 2023

Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study

in Cancer Imaging and Image-directed Interventions

Soroosh Sabeti
Redouane Ternifi
Nicholas B. Larson
Michael C. Olson
Thomas D. Atwell
Mostafa Fatemi
Azra Alizad

Frontiers in Oncology

doi 10.3389/fonc.2023.1121664

1,133 views
2 citations

Correction

Published on 12 Apr 2023

Corrigendum: Development and validation of A CT-based radiomics nomogram for prediction of synchronous distant metastasis in clear cell renal cell carcinoma

in Cancer Imaging and Image-directed Interventions

Xinxin Yu
Lin Gao
Shuai Zhang
Cong Sun
Juntao Zhang
Bing Kang
Ximing Wang

Frontiers in Oncology

doi 10.3389/fonc.2023.1193426

688 views

Review

Published on 06 Apr 2023

The application of radiomics in esophageal cancer: Predicting the response after neoadjuvant therapy

in Cancer Imaging and Image-directed Interventions

Hai Guo
Hong-Tao Tang
Wen-Long Hu
Jun-Jie Wang
Pei-Zhi Liu
Jun-Jie Yang
Sen-Lin Hou
Yu-Jie Zuo
Zhi-Qiang Deng
Xiang-Yun Zheng

Frontiers in Oncology

doi 10.3389/fonc.2023.1082960

1,704 views

Systematic Review

Published on 05 Apr 2023

Diagnostic value of superb microvascular imaging and color doppler for thyroid nodules: A meta-analysis

in Cancer Imaging and Image-directed Interventions

Haorou Luo
Lixue Yin

Frontiers in Oncology

doi 10.3389/fonc.2023.1029936

973 views
1 citation

Original Research

Published on 05 Apr 2023

Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors

in Cancer Imaging and Image-directed Interventions

Gongbo Xue
Hongyan Liu
Xiaoyi Cai
Zhen Zhang
Shuai Zhang
Ling Liu
Bin Hu
Guohua Wang

Frontiers in Oncology

doi 10.3389/fonc.2023.1167745

903 views

Original Research

Published on 04 Apr 2023

Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

in Cancer Imaging and Image-directed Interventions

Jordan C. Gainey
Yusen He
Robert Zhu
Stephen S. Baek
Xiaodong Wu
John M. Buatti
Bryan G. Allen
Brian J. Smith
Yusung Kim

Frontiers in Oncology

doi 10.3389/fonc.2023.868471

1,213 views
1 citation

Editorial

Published on 04 Apr 2023

Editorial: Image-guided particle therapy

in Cancer Imaging and Image-directed Interventions

Heng Li
Marco Durante
Oliver Jäkel
Lin Kong
Lanchun Lu

Frontiers in Oncology

doi 10.3389/fonc.2023.1175511

800 views

Original Research

Published on 31 Mar 2023

The value, diagnostic efficacy and clinical significance of functional magnetic resonance imaging in evaluating the efficacy of neoadjuvant chemotherapy in patients with triple negative breast cancer

in Cancer Imaging and Image-directed Interventions

Xiaoping He
Zongsheng Wang
Ying Zhou
Yongli Feng

Frontiers in Oncology

doi 10.3389/fonc.2023.1132186

1,515 views

Original Research

Published on 29 Mar 2023

A novel therapeutic strategy of combined camrelizumab and apatinib for the treatment of advanced hepatocellular carcinoma

in Cancer Imaging and Image-directed Interventions

Qing Yang
Gengyu Li
Xiaoqiu Wu
Haiying Lin
Wanrui Wu
Xiangpang Xie
Yu Zhu
Wei Cai
Changsheng Shi
Shengye Zhuo

Frontiers in Oncology

doi 10.3389/fonc.2023.1136366

1,536 views
2 citations

Original Research

Published on 29 Mar 2023

Near-infrared fluorescence imaging of hepatocellular carcinoma cells regulated by β-catenin signaling pathway

in Cancer Imaging and Image-directed Interventions

Jian Song
Tingting Ren
Yanheng Duan
Haitao Guo
Gang Wang
Yu Gan
Mengcai Bai
Xiaotian Dong
Zheng Zhao
Jiaze An

Frontiers in Oncology

doi 10.3389/fonc.2023.1140256

1,148 views

Original Research

Published on 29 Mar 2023

Development and validation of a nomogram model for lung cancer based on radiomics artificial intelligence score and clinical blood test data

in Cancer Imaging and Image-directed Interventions

Wenteng Hu
Xu Zhang
Ali Saber
Qianqian Cai
Min Wei
Mingyuan Wang
Zijian Da
Biao Han
Wenbo Meng
Xun Li

Frontiers in Oncology

doi 10.3389/fonc.2023.1132514

1,501 views
1 citation

Navigation group

Articles

A modified method for CT radiomics region-of-interest segmentation in adrenal lipid-poor adenomas: a two-institution comparative study

Clinical radiomics-based machine learning versus three-dimension convolutional neural network analysis for differentiation of thymic epithelial tumors from other prevascular mediastinal tumors on chest computed tomography scan

Comprehensive analysis of prediction of the EGFR mutation and subtypes based on the spinal metastasis from primary lung adenocarcinoma

Identification of a novel peptide targeting TIGIT to evaluate immunomodulation of 125I seed brachytherapy in HCC by near-infrared fluorescence

Medical image segmentation based on self-supervised hybrid fusion network

Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study

Corrigendum: Development and validation of A CT-based radiomics nomogram for prediction of synchronous distant metastasis in clear cell renal cell carcinoma

The application of radiomics in esophageal cancer: Predicting the response after neoadjuvant therapy

Diagnostic value of superb microvascular imaging and color doppler for thyroid nodules: A meta-analysis

Impact of deep learning image reconstruction algorithms on CT radiomic features in patients with liver tumors

Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

Editorial: Image-guided particle therapy

The value, diagnostic efficacy and clinical significance of functional magnetic resonance imaging in evaluating the efficacy of neoadjuvant chemotherapy in patients with triple negative breast cancer

A novel therapeutic strategy of combined camrelizumab and apatinib for the treatment of advanced hepatocellular carcinoma

Near-infrared fluorescence imaging of hepatocellular carcinoma cells regulated by β-catenin signaling pathway

Development and validation of a nomogram model for lung cancer based on radiomics artificial intelligence score and clinical blood test data