Issue 1/2024
Content (60 Articles)
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model
Jing Gong, Ting Wang, Zezhou Wang, Xiao Chu, Tingdan Hu, Menglei Li, Weijun Peng, Feng Feng, Tong Tong, Yajia Gu
The role of dynamic, static, and delayed total-body PET imaging in the detection and differential diagnosis of oncological lesions
Yaping Wu, Fangfang Fu, Nan Meng, Zhenguo Wang, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Meiyun Wang, Tao Sun
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas
Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, Rusdy Ghazali Malueka, Ery Kus Dwianingsih
Contrast-enhanced ultrasonography–CT/MRI fusion guidance for percutaneous ablation of inconspicuous, small liver tumors: improving feasibility and therapeutic outcome
Yuna Lee, Jeong Hee Yoon, Seungchul Han, Ijin Joo, Jeong Min Lee
Histogram analysis based on unenhanced CT for identifying thymoma and lymphoma among prevascular mediastinal incidentalomas
Ming Liu, Yang Zhang, Li-Heng Liu
Preoperative prediction of early recurrence in resectable pancreatic cancer integrating clinical, radiologic, and CT radiomics features
Jeong Hyun Lee, Jaeseung Shin, Ji Hye Min, Woo Kyoung Jeong, Honsoul Kim, Seo-Youn Choi, Jisun Lee, Sungjun Hong, Kyunga Kim
Value of high frame rate contrast enhanced ultrasound in gallbladder wall thickening in non-acute setting
Lianhua Zhu, Nan Li, Yaqiong Zhu, Peng Han, Bo Jiang, Miao Li, Yukun Luo, Dirk-André Clevert, Xiang Fei
Predicting occult lymph node metastasis in solid-predominantly invasive lung adenocarcinoma across multiple centers using radiomics-deep learning fusion model
Weiwei Tian, Qinqin Yan, Xinyu Huang, Rui Feng, Fei Shan, Daoying Geng, Zhiyong Zhang
Management of varices but not anticoagulation is associated with improved outcome in patients with HCC and macrovascular tumour invasion
Lorenz Balcar, Arpad Mrekva, Bernhard Scheiner, Katharina Pomej, Tobias Meischl, Mattias Mandorfer, Thomas Reiberger, Michael Trauner, Dietmar Tamandl, Matthias Pinter
Effect of Hashimoto’s thyroiditis on the dual-energy CT quantitative parameters and performance in diagnosing metastatic cervical lymph nodes in patients with papillary thyroid cancer
Di Geng, Yan Zhou, Ting Shang, Guo-Yi Su, Shu-shen Lin, Yan Si, Fei-Yun Wu, Xiao-Quan Xu
Contrast-enhanced CT radiomics features to preoperatively identify differences between tumor and proximal tumor-adjacent and tumor-distant tissues of resectable esophageal squamous cell carcinoma
Dan Gao, Bang-guo Tan, Xiao-qian Chen, Chuanqinyuan Zhou, Jing Ou, Wen-wen Guo, Hai-ying Zhou, Rui Li, Xiao-ming Zhang, Tian-wu Chen
Enhancing local recurrence detection in patients with high-grade soft tissue sarcoma: value of short-term Ultrasonography added to post-operative MRI surveillance
Ho Young Park, Hye Won Chung, Min A Yoon, Choong Guen Chee, Wanlim Kim, Jong-Seok Lee
Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemotherapy in patients with borderline resectable or locally advanced pancreatic cancer
Xiaoyi Yan, Xianshui Fu, Yang Gui, Xueqi Chen, Yuejuan Cheng, Menghua Dai, Weibin Wang, Mengsu Xiao, Li Tan, Jing Zhang, Yuming Shao, Huanyu Wang, Xiaoyan Chang, Ke Lv
Radiomics signature based on robust features derived from diffusion data for differentiation between benign and malignant solitary pulmonary lesions
Jiaxuan Zhou, Yu Wen, Ruolin Ding, Jieqiong Liu, Hanzhen Fang, Xinchun Li, Kangyan Zhao, Qi Wan
Comparison of different classification systems for pulmonary nodules: a multicenter retrospective study in China
Feipeng Song, Qian Yang, Tong Gong, Kai Sun, Wenjia Zhang, Mengxi Liu, Fajin Lv
MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study
Yunsong Liu, Yi Wang, Xin Wang, Liyan Xue, Huan Zhang, Zeliang Ma, Heping Deng, Zhaoyang Yang, Xujie Sun, Yu Men, Feng Ye, Kuo Men, Jianjun Qin, Nan Bi, Qifeng Wang, Zhouguang Hui
Dual-modal radiomics nomogram based on contrast-enhanced ultrasound to improve differential diagnostic accuracy and reduce unnecessary biopsy rate in ACR TI-RADS 4–5 thyroid nodules
Jia-Yu Ren, Wen-Zhi Lv, Liang Wang, Wei Zhang, Ying-Ying Ma, Yong-Zhen Huang, Yue-Xiang Peng, Jian-Jun Lin, Xin-Wu Cui
Ultrasound microflow patterns help in distinguishing malignant from benign thyroid nodules
Wanying Li, Luying Gao, Yiyan Du, Ying Wang, Xiao Yang, Hongyan Wang, Jianchu Li
Advances of radiolabeled GRPR ligands for PET/CT imaging of cancers
Yuze Ma, Feng Gao
CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma
Huai-wen Zhang, De-long Huang, Yi-ren Wang, Hao-shu Zhong, Hao-wen Pang
Correlation between remnant thyroid gland I-131 uptake and serum thyroglobulin levels: can we rely on I-131 whole body scans?
Sang Hyun Hwang, KwanHyeong Jo, Jongtae Cha, Chun Goo Kang, Jiyoung Wang, Hojin Cho, Won Jun Kang, Arthur Cho
Applying ONCO-RADS to whole-body MRI cancer screening in a retrospective cohort of asymptomatic individuals
Yong-Sin Hu, Chia-An Wu, Dao-Chen Lin, Po-Wei Lin, Han-Jui Lee, Lo-Yi Lin, Chung-Jung Lin
The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy
Chenhan Hu, Xiaomeng Qiao, Chunhong Hu, Changhao Cao, Ximing Wang, Jie Bao
Clinical application of machine learning models in patients with prostate cancer before prostatectomy
Adalgisa Guerra, Matthew R. Orton, Helen Wang, Marianna Konidari, Kris Maes, Nickolas K. Papanikolaou, Dow Mu Koh
Development and validation of a clinic-radiological model to predict tumor spread through air spaces in stage I lung adenocarcinoma
Zhaisong Gao, Pingping An, Runze Li, Fengyu Wu, Yuhui Sun, Jie Wu, Guangjie Yang, Zhenguang Wang
Using tumor habitat-derived radiomic analysis during pretreatment 18F-FDG PET for predicting KRAS/NRAS/BRAF mutations in colorectal cancer
Hongyue Zhao, Yexin Su, Yan Wang, Zhehao Lyu, Peng Xu, Wenchao Gu, Lin Tian, Peng Fu
[89Zr]Zr-PSMA-617 PET/CT characterization of indeterminate [68Ga]Ga-PSMA-11 PET/CT findings in patients with biochemical recurrence of prostate cancer: lesion-based analysis
Florian Rosar, Caroline Burgard, Elena Larsen, Fadi Khreish, Robert J. Marlowe, Andrea Schaefer-Schuler, Stephan Maus, Sven Petto, Mark Bartholomä, Samer Ezziddin
Prognostic value of CT-based radiomics in grade 1–2 pancreatic neuroendocrine tumors
Subin Heo, Hyo Jung Park, Hyoung Jung Kim, Jung Hoon Kim, Seo Young Park, Kyung Won Kim, So Yeon Kim, Sang Hyun Choi, Jae Ho Byun, Song Cheol Kim, Hee Sang Hwang, Seung Mo Hong
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer
Zehua Zhang, Yuqin Zhang, Feixiang Hu, Tiansong Xie, Wei Liu, Huijing Xiang, Xiangxiang Li, Lei Chen, Zhengrong Zhou
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETR
Elmira Yazdani, Najme Karamzadeh-Ziarati, Seyyed Saeid Cheshmi, Mahdi Sadeghi, Parham Geramifar, Habibeh Vosoughi, Mahmood Kazemi Jahromi, Saeed Reza Kheradpisheh
Development and validation of ultrasound-based radiomics model to predict germline BRCA mutations in patients with breast cancer
Tingting Deng, Jianwen Liang, Cuiju Yan, Mengqian Ni, Huiling Xiang, Chunyan Li, Jinjing Ou, Qingguang Lin, Lixian Liu, Guoxue Tang, Rongzhen Luo, Xin An, Yi Gao, Xi Lin
Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study
Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim, Seung-Koo Lee
Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions
Nan Meng, Chen Song, Jing Sun, Xue Liu, Lei Shen, Yihang Zhou, Bo Dai, Xuan Yu, Yaping Wu, Jianmin Yuan, Yang Yang, Zhe Wang, Meiyun Wang
Clinical outcomes of percutaneous microwave ablation for pulmonary oligometastases from hepatocellular carcinoma: a retrospective, multicenter study
Gang Wang, Zhigang Wei, Feihang Wang, Xiaoying Han, Haipeng Jia, Danyang Zhao, Chunhai Li, Lingxiao Liu, Xia Yang, Xin Ye
Artificial intelligence-based MRI radiomics and radiogenomics in glioma
Haiqing Fan, Yilin Luo, Fang Gu, Bin Tian, Yongqin Xiong, Guipeng Wu, Xin Nie, Jing Yu, Juan Tong, Xin Liao
Assessment of perineural spread in advanced cutaneous squamous cell carcinomas treated with immunotherapy
Karda Cavanagh, Luke S. McLean, Annette M. Lim, Anthony Cardin, Sidney M. Levy, Danny Rischin
Dual-energy computed tomography in a multiparametric regression model for diagnosing lymph node metastases in pancreatic ductal adenocarcinoma
Sheng Li, Dongping Jiang, Linling Jiang, Shumei Yan, Lizhi Liu, Guangying Ruan, Xuhui Zhou, Shuiqing Zhuo
The potential value of ultrasound in predicting local refractory/relapse events in primary thyroid lymphoma patients
Jiang Ji, Luying Gao, Ruifeng Liu, Xinlong Shi, Liyuan Ma, Aonan Pan, Naishi Li, Chunhao Liu, Xiaoyi Li, Meng Yang, Yu Xia, Yuxin Jiang
Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets
Chia-Ying Lin, Shu-Mei Guo, Jenn-Jier James Lien, Tzung-Yi Tsai, Yi-Sheng Liu, Chao-Han Lai, I-Lin Hsu, Chao-Chun Chang, Yau-Lin Tseng
Correction: Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study
Yae Won Park, Ji Eun Park, Sung Soo Ahn, Kyunghwa Han, NakYoung Kim, Joo Young Oh, Da Hyun Lee, So Yeon Won, Ilah Shin, Ho Sung Kim, Seung-Koo Lee
Prognostic PET [11C]-acetate uptake is associated with hypoxia gene expression in patients with late-stage hepatocellular carcinoma – a bench to bed study
Keith Wan Hang Chiu, Kel Vin Tan, Xinxiang Yang, Xiaoqiang Zhu, Jingjing Shi, Chi-Leung Chiang, Lawrence Chan, Yuan Hui, Pek-Lan Khong, Kwan Man, Jason Wing Hon Wong
A hierarchical fusion strategy of deep learning networks for detection and segmentation of hepatocellular carcinoma from computed tomography images
I-Cheng Lee, Yung-Ping Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Chien-An Liu, Jia-Guan Huang, Rheun-Chuan Lee, Yee Chao, Shinn-Ying Ho, Yi-Hsiang Huang
Habitat-based radiomics analysis for evaluating immediate response in colorectal cancer lung metastases treated by radiofrequency ablation
Haozhe Huang, Hong Chen, Dezhong Zheng, Chao Chen, Ying Wang, Lichao Xu, Yaohui Wang, Xinhong He, Yuanyuan Yang, Wentao Li
HCC portal hypertension imaging score derived from CT predicts re-bleeding and mortality after acute variceal bleeding
Mingyuan Zhao, Binyue Zhang, Jianqiang Shi, Xiaoxian Tang, Hongxia Li, Shengwen Li, Yunfeng Yang, Yi Han, Rong Wang, Jian Xun, Kai Zhang, Xirun Wu, Jiang Zhao
Optimizing PSMA scintigraphy for resource limited settings – a retrospective comparative study
Olumayowa U. Kolade, Anita Brink, Akinwale O. Ayeni, Stuart More, Jennifer Holness
Bubble-like lucency in pulmonary ground glass nodules on computed tomography: a specific pattern of air-containing space for diagnosing neoplastic lesions
Si-zhu Liu, Shi-hai Yang, Min Ye, Bin-jie Fu, Fa-jin Lv, Zhi-gang Chu
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H. van Duijnhoven, Esther H. lips, Emma J. Groen, Marja C. J. van Oirsouw, Shelley E. Hwang, Joseph Y. Lo, Jelle Wesseling, Ritse M. Mann, Jonas Teuwen, Alastair Thompson, Serena Nik-Zainal, Elinor J. Sawyer, Helen Davies, Andrew Futreal, Nicholas Navin, E. Shelley Hwang, Jos Jonkers, Jacco van Rheenen, Fariba Behbod, Marjanka Schmidt, Lodewyk F.A. Wessels, Daniel Rea, Proteeti Bhattacharjee, Hilary Stobart, Hilary Stobart, Deborah Collyar, Donna Pinto, Ellen Verschuur, Marja van Oirsouw
MRI evaluation of vesical imaging reporting and data system for bladder cancer after neoadjuvant chemotherapy
Xinxin Zhang, Yichen Wang, Yilin Wang, Jie Zhang, Jin Zhang, Lianyu Zhang, Sicong Wang, Jianzhong Shou, Yan Chen, Xinming Zhao
A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma
Xiaoli Li, Xianglong Shi, Yanmei Wang, Jing Pang, Xia Zhao, Yuchao Xu, Qiyuan Li, Ning Wang, Feng Duan, Pei Nie
Extracting value from total-body PET/CT image data - the emerging role of artificial intelligence
Lalith Kumar Shiyam Sundar, Sebastian Gutschmayer, Marcel Maenle, Thomas Beyer
Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study
Zhen Tian, Yifan Cheng, Shuai Zhao, Ruiqi Li, Jiajie Zhou, Qiannan Sun, Daorong Wang
Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study
Jeong Won Lee, Hyein Ahn, Ik Dong Yoo, Sun-pyo Hong, Moo-Jun Baek, Dong Hyun Kang, Sang Mi Lee
Radiomics signature for dynamic changes of tumor-infiltrating CD8+ T cells and macrophages in cervical cancer during chemoradiotherapy
Kang Huang, Xuehan Huang, Chengbing Zeng, Siyan Wang, Yizhou Zhan, Qingxin Cai, Guobo Peng, Zhining Yang, Li Zhou, Jianzhou Chen, Chuangzhen Chen
A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma
Linxia Wu, Chunyuan Cen, Xiaofei Yue, Lei Chen, Hongying Wu, Ming Yang, Yuting Lu, Ling Ma, Xin Li, Heshui Wu, Chuansheng Zheng, Ping Han
Head-to-head comparison of [68Ga]Ga-DOTA-FAPI-04 and [18F]FDG PET/CT for the evaluation of tonsil cancer and lymph node metastases: a single-centre retrospective study
Mengjing Ji, Guang Ma, Cheng Liu, Bingxin Gu, Xinyue Du, Xiaomin Ou, Xiaoping Xu, Shaoli Song, Zhongyi Yang
Comparison of quantitative whole body PET parameters on [68Ga]Ga-PSMA-11 PET/CT using ordered Subset Expectation Maximization (OSEM) vs. bayesian penalized likelihood (BPL) reconstruction algorithms in men with metastatic castration-resistant prostate cancer
Narjess Ayati, Lachlan McIntosh, James Buteau, Ramin Alipour, Michal Pudis, Nicholas Daw, Price Jackson, Michael S. Hofman
Superiority of 18F-FAPI-42 PET/CT in the detection of primary tumor and management of appendiceal neoplasm to 18F-FDG PET/CT and CE-CT
Ye Dong, Shun Huang, Hubing Wu, Min Cao, Yanchao Huang, Ganghua Tang, Wenlan Zhou
Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma
Yuan Yu, Hongwei Guo, Meng Zhang, Feng Hou, Shifeng Yang, Chencui Huang, Lisha Duan, Hexiang Wang
Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT
L. D’hondt, C. Franck, P-J. Kellens, F. Zanca, D. Buytaert, A. Van Hoyweghen, H. El Addouli, K. Carpentier, M. Niekel, M. Spinhoven, K. Bacher, A. Snoeckx