Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

in Cancer Imaging and Image-directed Interventions

• Fabrizio Pignotti
• Tamara Ius
• Rosellina Russo
• Daniele Bagatto
• Francesco Beghella Bartoli
• Edda Boccia
• Luca Boldrini
• Silvia Chiesa
• Chiara Ciardi
• Davide Cusumano

Machine learning-based ultrasomics for predicting response to tyrosine kinase inhibitor in combination with anti-PD-1 antibody immunotherapy in hepatocellular carcinoma: a two-center study

in Cancer Imaging and Image-directed Interventions

• Yiwen Hu
• Linlin Zhang
• Qinghua Qi
• Shanshan Ren
• Simeng Wang
• Lanling Yang
• Juan Zhang
• Yuanyuan Liu
• Xiaoxiao Li
• Xiguo Cai

Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features

in Cancer Imaging and Image-directed Interventions

• Yue Huang
• Han Zhang
• Qingzhu Ding
• Dehua Chen
• Xiang Zhang
• Shangeng Weng
• Guozhong Liu

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

in Cancer Imaging and Image-directed Interventions

• Sehrish Javed
• Touseef Ahmad Qureshi
• Lixia Wang
• Linda Azab
• Srinivas Gaddam
• Stephen J. Pandol
• Debiao Li

Ultrasound versus computed tomography guided percutaneous needle biopsy for subpleural pulmonary lesions

in Cancer Imaging and Image-directed Interventions

• Yaoyao Zhou
• Xuhong Wang
• Rui Han
• Shengmin Zhang

Adrenal indeterminate nodules: CT-based radiomics analysis of different machine learning models for predicting adrenal metastases in lung cancer patients

in Cancer Imaging and Image-directed Interventions

• Lixiu Cao
• Haoxuan Yang
• Huijing Wu
• Hongbo Zhong
• Haifeng Cai
• Yixing Yu
• Lei Zhu

PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges

in Cancer Imaging and Image-directed Interventions

• Yan Sun
• Xinyu Ge
• Rong Niu
• Jianxiong Gao
• Yunmei Shi
• Xiaoliang Shao
• Yuetao Wang
• Xiaonan Shao

Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma

in Cancer Imaging and Image-directed Interventions

• Yunze Yang
• Ziwei Zhang
• Hua Zhang
• Mengtong Liu
• Jianjun Zhang

The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy

in Cancer Imaging and Image-directed Interventions

• Xin Chang Zou
• Xiang Da Xu
• Jian Biao Huang
• Hai Chao Chao
• Tao Zeng

Comparison of 68Ga-PSMA PET and mpMRI for prostate cancer local staging: a comprehensive review and direct meta-analysis

in Cancer Imaging and Image-directed Interventions

• Xinyu Jin
• Yijie Cai
• Xiaolu Ren

Using the length of pleural tag to predetermine pleural invasion by lung adenocarcinomas

in Cancer Imaging and Image-directed Interventions

• Yingdong Chen
• Qianwen Huang
• Zeyang Lin
• Xiaoxi Guo
• Yiting Liao

Meta-analysis of the diagnostic value of exosomal microRNAs in renal cell carcinoma

in Cancer Imaging and Image-directed Interventions

• Qingru Li
• Jing Tian
• Cuiqing Chen

Nipple adenoma detected by multimodal ultrasound: a case report and literature review

in Cancer Imaging and Image-directed Interventions

• Jingwen Zhang
• Tingting Wu
• Yuqin Ma

Retraction: Dual-phenotype hepatocellular carcinoma: correlation of MRI features with other primary hepatocellular carcinoma and differential diagnosis

in Cancer Imaging and Image-directed Interventions

Radiomics based on MRI in predicting lymphovascular space invasion of cervical cancer: a meta-analysis

in Cancer Imaging and Image-directed Interventions

• Chongshuang Yang
• Min Wu
• Jiancheng Zhang
• Hongwei Qian
• Xiangyang Fu
• Jing Yang
• Yingbin Luo
• Zhihong Qin

Achieving enhanced diagnostic precision in endometrial lesion analysis through a data enhancement framework

in Cancer Imaging and Image-directed Interventions

• Yi Luo
• Meiyi Yang
• Xiaoying Liu
• Liufeng Qin
• Zhengjun Yu
• Yunxia Gao
• Xia Xu
• Guofen Zha
• Xuehua Zhu
• Gang Chen

Delta-CT radiomics based model for predicting postoperative anastomotic leakage following radical resection of esophageal squamous cell carcinoma

in Cancer Imaging and Image-directed Interventions

• Huantian Li
• Linjun Zhang
• Lina Song
• Yong Wang
• Ping Song
• Yingjian Ye
• Xiumei Li
• Peng An

Comparison of the diagnostic efficacy between imaging features and iodine density values for predicting microvascular invasion in hepatocellular carcinoma

in Cancer Imaging and Image-directed Interventions

• Jian Lv
• Xin Li
• Ronghua Mu
• Wei Zheng
• Peng Yang
• Bingqin Huang
• Fuzhen Liu
• Xiaomin Liu
• Zhixuan Song

Evaluating peritumoral and intratumoral radiomics signatures for predicting lymph node metastasis in surgically resectable non-small cell lung cancer

in Cancer Imaging and Image-directed Interventions

• Ran Xu
• Kaiyu Wang
• Bo Peng
• Xiang Zhou
• Chenghao Wang
• Tong Lu
• Jiaxin Shi
• Jiaying Zhao
• Linyou Zhang

Habitat-based CT radiomics enhances the ability to predict spread through air spaces in stage T1 invasive lung adenocarcinoma

in Cancer Imaging and Image-directed Interventions

• Xiuhua Peng
• Hongxing Zhao
• Shiyong Wu
• Dan Jia
• Miaomiao Hu
• Biping Guo
• Jinliang Hu

CT gastrography and enterography retrospective analysis: thickened diaphragm crura is a false indication for a gastric fundic tumor

in Cancer Imaging and Image-directed Interventions

• Xin Zhang
• Ying Wen
• Qi Wang
• Manman Chen
• Ming Yang
• Xiaoyu Han
• Wenjuan Tang
• Heshui Shi

Case report: Extraskeletal mesenchymal chondrosarcoma with a rare metastasis to the pancreas

in Cancer Imaging and Image-directed Interventions

• Xiuliang Zhu
• Lu Cheng
• Fei Dong
• Jinsong Cai
• Wei Qian
• Qiao-Ling Ding

An integrated method for detecting lung cancer via CT scanning via optimization, deep learning, and IoT data transmission

in Cancer Imaging and Image-directed Interventions

• Shaik Karimullah
• Mudassir Khan
• Fahimuddin Shaik
• Bayan Alabduallah
• Abrar Almjally

Comparison of diagnostic accuracy of radiomics parameter maps and standard reconstruction for the detection of liver lesions in computed tomography

in Cancer Imaging and Image-directed Interventions

• Alexander Hertel
• Mustafa Kuru
• Fabian Tollens
• Hishan Tharmaseelan
• Dominik Nörenberg
• Nils Rathmann
• Stefan O. Schoenberg
• Matthias F. Froelich