Clinicopathological and computed tomography features of patients with early-stage non-small-cell lung cancer harboring ALK rearrangement
Although some studies have assessed the correlation between computed tomography (CT) features and anaplastic lymphoma kinase (ALK) rearrangement in patients with non-small-cell lung cancer (NSCLC), few have fo... (Source: Cancer Imaging)
Source: Cancer Imaging - February 23, 2023 Category: Radiology Authors: Xiaoming Hou, Han Chen, You Liu, Sandong Gong, Meizi Zhudai and Leilei Shen Tags: Research article Source Type: research
Preliminary outcomes of DEB-TACE loaded with raltitrexed in the treatment of unresectable or recurrent hepatocellular carcinoma
Raltitrexed shows therapeutic effects and safety in many types of malignant tumors. However, reports of the clinical outcomes of raltitrexed-based transarterial chemoembolization (TACE) or drug-eluting beads T... (Source: Cancer Imaging)
Source: Cancer Imaging - February 22, 2023 Category: Radiology Authors: Yonghua Bi, Yang Wang, Wenguang Zhang, Huibin Lu, Jianzhuang Ren and Xinwei Han Tags: Research article Source Type: research
Prediction of hepatic lymph node metastases based on magnetic resonance imaging before and after preoperative chemotherapy in patients with colorectal liver metastases underwent surgical resection
In this study, we developed and validated a model using clinical and magnetic resonance... (Source: Cancer Imaging)
Source: Cancer Imaging - February 21, 2023 Category: Radiology Authors: Hai-bin Zhu, Da Xu, Xue-Feng Sun, Xiao-Ting Li, Xiao-Yan Zhang, Kun Wang, Bao-Cai Xing and Ying-Shi Sun Tags: Research article Source Type: research
Detection of solid and subsolid pulmonary nodules with lung MRI: performance of UTE, T1 gradient-echo, and single-shot T2 fast spin echo
Although MRI is a radiation-free imaging modality, it has historically been limited in lung imaging due to inherent technical restrictions. The aim of this study is to explore the performance of lung MRI in de... (Source: Cancer Imaging)
Source: Cancer Imaging - February 16, 2023 Category: Radiology Authors: Felipe Sanchez, Pascal N. Tyrrell, Patrick Cheung, Chinthaka Heyn, Simon Graham, Ian Poon, Yee Ung, Alexander Louie, May Tsao and Anastasia Oikonomou Tags: Research article Source Type: research
Sarcomatoid renal cell carcinoma: MRI features and their association with survival
To evaluate MRI features of sarcomatoid renal cell carcinoma (RCC) and their association with survival. (Source: Cancer Imaging)
Source: Cancer Imaging - February 15, 2023 Category: Radiology Authors: Monica Cheng, Cihan Duzgol, Tae-Hyung Kim, Soleen Ghafoor, Anton S. Becker, Pamela I. Causa Andrieu, Natalie Gangai, Hui Jiang, Abraham A. Hakimi, Hebert A. Vargas and Sungmin Woo Tags: Research article Source Type: research
Preoperative subcategorization based on magnetic resonance imaging in intrahepatic cholangiocarcinoma
Appropriate preoperative identification of iCCA subtype is essential for personalized management, so the aim of this study is to investigate the role of MR imaging features in preoperatively differentiating th... (Source: Cancer Imaging)
Source: Cancer Imaging - February 13, 2023 Category: Radiology Authors: Yuyao Xiao, Changwu Zhou, Xiaoyan Ni, Peng Huang, Fei Wu, Chun Yang and Mengsu Zeng Tags: Research article Source Type: research
Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued
The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC. (Source: Cancer Imaging)
Source: Cancer Imaging - February 9, 2023 Category: Radiology Authors: Song Li, Xia Wan, Yu-Qin Deng, Hong-Li Hua, Sheng-Lan Li, Xi-Xiang Chen, Man-Li Zeng, Yunfei Zha and Ze-Zhang Tao Tags: Research article Source Type: research
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules
To analyse the predictive effect of a nomogram combining dual-layer spectral computed tomography (DSCT) quantitative parameters with typical radiological features in distinguishing benign micro-nodule from thy... (Source: Cancer Imaging)
Source: Cancer Imaging - January 26, 2023 Category: Radiology Authors: Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Qian Liu, Zongwen Li, Jie Huang, Xiaodi Zhang and Zhuoyue Tang Tags: Research article Source Type: research
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Metastatic bone disease (MBD) is the most common form of metastases, most frequently deriving from prostate cancer. MBD is screened with bone scintigraphy (BS), which have high sensitivity but low specificity ... (Source: Cancer Imaging)
Source: Cancer Imaging - January 25, 2023 Category: Radiology Authors: Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, Flore Belmans, Fabio Bottari, Turkey Refaee, Pierre Lovinfosse, Alexandre Jadoul, Celine Derwael, Fabian Hertel, Henry C. Woodruff, Helle D. Zacho, Sean Walsh, Wim Vos, Mariaelena Occhipinti, Fran à Tags: Research article Source Type: research
Diagnostic performance of prospective same-day 18F-FDG PET/MRI and 18F-FDG PET/CT in the staging and response assessment of lymphoma
Accurate staging and response assessment are essential for prognosis and to guide treatment in patients with lymphoma. The aim of this study was to compare the diagnostic performance of FDG PET/MRI versus FDG ... (Source: Cancer Imaging)
Source: Cancer Imaging - January 24, 2023 Category: Radiology Authors: Vijay Mistry, Justin R. Scott, Tzu-Yang Wang, Peter Mollee, Kenneth A. Miles, W. Phillip Law and Greg Hapgood Tags: Research Article Source Type: research
Contrast enhanced mammography: focus on frequently encountered benign and malignant diagnoses
Contrast-enhanced mammography (CEM) is becoming a widely adopted modality in breast imaging over the past few decades and exponentially so over the last few years, with strong evidence of high diagnostic perfo... (Source: Cancer Imaging)
Source: Cancer Imaging - January 23, 2023 Category: Radiology Authors: Mindy L. Yang, Chandni Bhimani, Robyn Roth and Pauline Germaine Tags: Review Source Type: research
A radiomics-based deep learning approach to predict progression free-survival after tyrosine kinase inhibitor therapy in non-small cell lung cancer
The epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) are a first-line therapy for non-small cell lung cancer (NSCLC) with EGFR mutations. Approximately half of the patients with EGFR-muta... (Source: Cancer Imaging)
Source: Cancer Imaging - January 20, 2023 Category: Radiology Authors: Chia-Feng Lu, Chien-Yi Liao, Heng-Sheng Chao, Hwa-Yen Chiu, Ting-Wei Wang, Yen Lee, Jyun-Ru Chen, Tsu-Hui Shiao, Yuh-Min Chen and Yu-Te Wu Tags: Research article Source Type: research
Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?
To compare tumor size measurements using CT and MRI in pancreatic cancer (PC) patients with neoadjuvant therapy (NAT). (Source: Cancer Imaging)
Source: Cancer Imaging - January 18, 2023 Category: Radiology Authors: Panpan Yang, Kuanzheng Mao, Yisha Gao, Zhen Wang, Jun Wang, Yufei Chen, Chao Ma, Yun Bian, Chengwei Shao and Jianping Lu Tags: Research article Source Type: research
Semiautomated pelvic lymph node treatment response evaluation for patients with advanced prostate cancer: based on MET-RADS-P guidelines
The evaluation of treatment response according to METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P) criteria is an important but time-consuming task for patients with advanced prostate canc... (Source: Cancer Imaging)
Source: Cancer Imaging - January 17, 2023 Category: Radiology Authors: Xiang Liu, Zemin Zhu, Kexin Wang, Yaofeng Zhang, Jialun Li, Xiangpeng Wang, Xiaodong Zhang and Xiaoying Wang Tags: Research article Source Type: research
Automated deep-learning system in the assessment of MRI-visible prostate cancer: comparison of advanced zoomed diffusion-weighted imaging and conventional technique
Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneiti... (Source: Cancer Imaging)
Source: Cancer Imaging - January 17, 2023 Category: Radiology Authors: Lei Hu, Caixia Fu, Xinyang Song, Robert Grimm, Heinrich von Busch, Thomas Benkert, Ali Kamen, Bin Lou, Henkjan Huisman, Angela Tong, Tobias Penzkofer, Moon Hyung Choi, Ivan Shabunin, David Winkel, Pengyi Xing, Dieter Szolar & hellip; Tags: Research article Source Type: research
