Article
Oncology
Tadashi Matsumoto, Ryo Toya, Yoshinobu Shimohigashi, Takahiro Watakabe, Tomohiko Matsuyama, Tetsuo Saito, Yoshiyuki Fukugawa, Yudai Kai, Natsuo Oya
Summary: In this study comparing 3D-CRT, IMRT, and VMAT for gastric MALT lymphoma using 4D-CT images, it was found that the IMRT plan yielded the best plan quality with significantly better homogeneity and conformity indices. The D95 did not show significant differences among the three plans, but the IMRT plan showed superior HI and CI values compared to VMAT and 3D-CRT plans. The D-mean of the liver was also significantly lower in the IMRT and VMAT plans compared to 3D-CRT plan.
ANTICANCER RESEARCH
(2021)
Article
Oncology
Fady Samir, Talaat M. Meaz, Fathi AEl Hussiny, Ahmed A. Ahmed, Amr A. Mahmoud, Tamer Refaat, Ahmed Gawish, Mohamed Abouegylah
Summary: The study compared four techniques in prostate treatment to find the preferred technique. Plans were created for 30 prostate cancer patients using different techniques, and the quality of the plans was assessed by comparing target coverage, organs at risk, monitor units, homogeneity, and conformity among the techniques.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Article
Medicine, General & Internal
Haitao Sun, Ning Wang, Guosen Huang, Xiangping Liu
Summary: High-risk prostate cancer patients can benefit from the combination of hypofractionated radiotherapy and pelvic conventional fraction radiotherapy. The comparison between fixed field dynamic IMRT and VMAT techniques showed that most dosimetry indices were slightly better in the 9F plan compared to the 1ARC plan, while the 2ARC plan had comparable outcomes to the 9F plan. VMAT improved delivery efficiency compared to IMRT. However, the two-arc plans performed worse in dose sparing for certain organs compared to the 9F plan. IMRT was preferred for prostate cancer simultaneous integrated boost radiotherapy.
Article
Oncology
Meng Yuan, Yu Men, Jingjing Kang, Xin Sun, Maoyuan Zhao, Yongxing Bao, Xu Yang, Shuang Sun, Zeliang Ma, Jianyang Wang, Lei Deng, Wenqing Wang, Yirui Zhai, Wenyang Liu, Tao Zhang, Xin Wang, Nan Bi, Jima Lv, Jun Liang, Qinfu Feng, Dongfu Chen, Zefen Xiao, Zongmei Zhou, Luhua Wang, Zhouguang Hui
Summary: This study found that postoperative radiotherapy did not improve overall survival in pIIIA-N2 NSCLC patients with positive surgical margins, but did improve survival in those who underwent R1 resection combined with chemotherapy.
Article
Biology
Duong Thanh Tai, Luong Thi Oanh, Pham Hoai Phuong, Abdelmoneim Sulieman, Fouad A. Abolaban, Hiba Omer, James C. L. Chow
Summary: Comparing the Jaws-only Intensity-modulated radiotherapy (JO-IMRT) technique with 3D conformal radiation therapy (3D-CRT) for head and neck treatment, it was found that JO-IMRT can improve dose coverage to the target, enhance conformity index (CI) and homogeneity index (HI), and reduce doses to the parotid glands.
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
(2022)
Review
Oncology
Lucheng Zhu, Bing Xia, Shenglin Ma
Summary: The role of adjuvant radiotherapy in completely resected pIIIA-N2 NSCLC is controversial. Previous studies have shown that postoperative radiotherapy can reduce local recurrence and prolong disease-free survival, but recent randomized controlled trials have shown no survival benefit. We need to reassess the value of postoperative radiotherapy.
Editorial Material
Oncology
Yu Chen, Jinming Yu, Xiangjiao Meng
Summary: This commentary emphasizes the potential of postoperative radiotherapy in patients with completely resected IIIA-N2 non-small cell lung cancer.
Article
Oncology
Xigang Fan, Yecai Huang, Peng Xu, Yanmei Min, Jie Li, Mei Feng, Guohui Xu, Jinyi Lang
Summary: This study aims to investigate the relationship between radiation-induced brainstem necrosis (RIBN) and radiation dose in patients with nasopharyngeal carcinoma (NPC). The analysis revealed that the incidence of RIBN is associated with higher radiation doses, with D-max being the most significant predictive factor. It is suggested that the maximum dose limit for the brainstem should be considered during treatment.
Article
Oncology
Minxia Zhu, Shaomin Li, Liyue Yuan, Shiyuan Liu, Jianzhong Li, Danjie Zhang, Jia Chen, Jiantao Jiang, Zhengshui Xu
Summary: This study aims to evaluate the effect of postoperative radiotherapy (PORT) on survival in patients with IIIA-N2 non-small cell lung cancer (NSCLC) who underwent surgery. The results of Cox proportional hazards regression analysis and propensity score matching analysis showed that PORT was not associated with improved survival in patients with IIIA-N2 NSCLC. Therefore, PORT does not provide a survival benefit for these patients.
WORLD JOURNAL OF SURGICAL ONCOLOGY
(2023)
Article
Oncology
Pascal Wang, Boris Duchemann, Kader Chouahnia, Lise Matton, Ambre Benabadji, Laurent Zelek, Hosni Popotte, Adrien Paix
Summary: Patients with resectable stage IIIA - N2 lung cancer are a heterogeneous group, and the risks of postoperative recurrence vary depending on the type of N2 involvement. The lack of clear recommendations is due to the difficulty of conducting prospective randomized studies and the heterogeneity of the population. However, recent trials suggest a potential benefit of postoperative radiotherapy in certain high-risk pN2 subgroups. The emergence of immunotherapy and targeted therapies in the adjuvant setting also raises questions about the role of postoperative radiotherapy in stage IIIA - N2.
BULLETIN DU CANCER
(2023)
Article
Medicine, General & Internal
Saroj Kumar Das Majumdar, Adhar Amritt, Sovan Sarang Dhar, Sandip Barik, Sasanka S. Beura, Tushar Mishra, Dillip K. Muduly, Ashish Dash, Dillip Kumar Parida
Summary: In post-mastectomy radiation for left-sided breast cancer, intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) provide better target coverage and conformity index compared to three-dimensional conformal radiotherapy (3D-CRT). However, they also result in increased low dose irradiation to organs at risk, such as heart, lungs, and body.
CUREUS JOURNAL OF MEDICAL SCIENCE
(2022)
Article
Oncology
Jessica Prunaretty, Celine Bourgier, Sophie Gourgou, Claire Lemanski, David Azria, Pascal Fenoglietto
Summary: This study compared IMRT and 3D conformal radiotherapy and found that 3D MHD is not representative of heart exposure after IMRT. In cases of high dose exposure, 3D MHD cannot represent similar heart substructure exposure as IMRT.
FRONTIERS IN ONCOLOGY
(2023)
Article
Oncology
Xia Wang, Jiaqi Song, Jie Long, Zhimin Zeng, Anwen Liu
Summary: This study found that postoperative radiotherapy did not have a significant impact on cardiovascular-pulmonary disease mortality in patients with stage IIIA-N2 resected non-small cell lung cancer. Further research is needed to confirm these results, emphasizing the importance of long-term surveillance for NSCLC patients.
RADIATION ONCOLOGY
(2021)
Article
Oncology
Hui Yang, Kunlun Wang, Shenglei Li, Yan Li, Ling Yuan
Summary: The study found that postoperative radiotherapy may improve disease-free survival of stage IIIA/N2 NSCLC patients with complete surgical resection and postoperative chemotherapy, but it does not increase overall survival. Factors such as EGFR mutation status, T stage, and type of surgery may be independent prognostic factors for disease-free survival, while the type of surgery is associated with overall survival.
PATHOLOGY & ONCOLOGY RESEARCH
(2021)
Article
Oncology
Heleen Bollen, Julie van der Veen, Annouschka Laenen, Sandra Nuyts
Summary: IMRT and VMAT have become standard of care in treating head and neck cancer. By analyzing treatment failure patterns, this study indirectly investigated the quality of target volume delineation and treatment delivery, which were performed accurately with few recurrences outside high-dose regions and no marginal failures observed.
FRONTIERS IN ONCOLOGY
(2021)
Article
Medicine, Research & Experimental
Yimin Li, Shun Lu, Mei Lan, Xinhao Peng, Zijian Zhang, Jinyi Lang
JOURNAL OF TRANSLATIONAL MEDICINE
(2020)
Article
Computer Science, Artificial Intelligence
Hua-Xiang Liu, Jiang-Xiong Fang, Zi-Jian Zhang, Yong-Cheng Lin
Summary: This study proposes a novel method for extracting ROIs from medical images by constructing gradient information based on local image features. The energy functional consists of localized region energy and edge energy to accurately extract the ROI boundaries.
IET IMAGE PROCESSING
(2021)
Article
Oncology
Zhiyuan Liu, Zekun Jiang, Li Meng, Jun Yang, Ying Liu, Yingying Zhang, Haiqin Peng, Jiahui Li, Gang Xiao, Zijian Zhang, Rongrong Zhou
Summary: This study investigated the feasibility of using handcrafted radiomics (HCR) and deep learning-based radiomics (DLR) for preoperative classification of glioblastoma (GBM) and solitary brain metastasis (BM) using MRI data. The results showed that machine learning models using a combination of HCR and DLR features can effectively distinguish between GBM and BM.
JOURNAL OF ONCOLOGY
(2021)
Article
Medicine, General & Internal
Linlin Bo, Zijian Zhang, Zekun Jiang, Chao Yang, Pu Huang, Tingyin Chen, Yifan Wang, Gang Yu, Xiao Tan, Quan Cheng, Dengwang Li, Zhixiong Liu
Summary: By combining deep transfer learning and hand-crafted radiomics features, a model has been developed and validated to distinguish brain abscess from cystic glioma. The model shows efficient performance in differential diagnosis and is a non-invasive and cost-effective method.
FRONTIERS IN MEDICINE
(2021)
Review
Oncology
Chao Yang, Zekun Jiang, Tingting Cheng, Rongrong Zhou, Guangcan Wang, Di Jing, Linlin Bo, Pu Huang, Jianbo Wang, Daizhou Zhang, Jianwei Jiang, Xing Wang, Hua Lu, Zijian Zhang, Dengwang Li
Summary: This study assessed the methodological quality of radiomics in predicting the effectiveness of neoadjuvant chemotherapy for nasopharyngeal carcinoma. The findings showed that machine learning and radiomics can be beneficial in improving standardization and methodological quality before applying them to clinical practice.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Ruimin He, Xiaohua Yang, Tengxiang Li, Yaolin He, Xiaoxue Xie, Qilei Chen, Zijian Zhang, Tingting Cheng
Summary: This study aimed to find a novel data-driven genetic testing method that can effectively predict the mutation status of EGFR based on a prediction model combining clinical features. The results showed that the subset of radiographic and clinical features selected by feature engineering effectively predicted the EGFR mutation status of this NSCLC patient cohort.
Article
Computer Science, Interdisciplinary Applications
Huijun Zhou, Zhenyang Liu, Ting Li, Yifei Chen, Wei Huang, Zijian Zhang
Summary: The purpose of this study is to investigate an identification method for precancerous gastric cancer based on the fusion of superficial features and deep features of gastroscopic images. The proposed feature fusion method shows better recognition accuracy compared to traditional machine learning and deep learning methods, providing a new strategy for the identification of precancerous gastric cancer.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Engineering, Biomedical
Bo Zhao, Tingting Cheng, Xueren Zhang, Jingjing Wang, Hong Zhu, Rongchang Zhao, Dengwang Li, Zijian Zhang, Gang Yu
Summary: Magnetic resonance (MR) image-guided radiation therapy is a popular research topic that utilizes MR to generate synthetic computed tomography (SCT) images for radiation therapy. This paper introduces a new GAN called Residual Transformer Conditional GAN (RTCGAN), which combines the advantages of CNN and Transformer to extract multi-level features from MR and CT images. The experiments show that RTCGAN outperforms other comparison methods in terms of local mismatch tissues. In quantitative evaluation, RTCGAN achieves desirable results with MAE of 45.05 HU, SSIM of 0.9105, and PSNR of 28.31 dB.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2023)
Article
Endocrinology & Metabolism
Dongzhi Hu, Dongdong Ma, Zi-jian Zhang, Yongjing Zhang, Kangni Huang, Xiaoxue Li
Summary: In this study, the clinical characteristics, treatment methods, and prognosis of SCCO and HGSOC were compared in a large sample. It was found that patients with SCCO more frequently presented with early-stage disease and had lower overall and cancer-specific survival rates compared to patients with HGSOC.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Oncology
Liqing Jiang, Zijian Zhang, Shiyan Guo, Yongfeng Zhao, Ping Zhou
Summary: Improving the accuracy of preoperative assessment of lymph node metastasis (LNM) is crucial for determining the scope of PTC surgery and reducing complications. This study demonstrated that radiomics analysis based on contrast-enhanced ultrasound (CEUS) provides incremental value to the prediction and management of LNM in PTC. The developed clinical-radiomics nomogram showed promising value for predicting LNM and can be used as an effective tool for preoperative prediction of LNM.
Article
Computer Science, Artificial Intelligence
Shanfu Lu, Zijian Zhang, Ziye Yan, Yiran Wang, Tingting Cheng, Rongrong Zhou, Guang Yang
Summary: Semi-supervised learning has played a significant role in advancing computer vision tasks, particularly in the field of medical images. This study introduces a novel approach that combines pseudo-labelling with dual consistency regularization to improve segmentation results. By leveraging the uncertainty awareness capability, the proposed method achieves better performance by accurately estimating uncertainty and promoting consistency between networks. Experimental results on three public datasets demonstrate the effectiveness and superiority of the proposed method compared to state-of-the-art approaches.
Article
Oncology
Qingfang Huang, Chao Yang, Jinmeng Pang, Biao Zeng, Pei Yang, Rongrong Zhou, Haijun Wu, Liangfang Shen, Rong Zhang, Fan Lou, Yi Jin, Albert Abdilim, Hekun Jin, Zijian Zhang, Xiaoxue Xie
Summary: This study aimed to develop and validate a model that predicts the incidence of G4RIL in nasopharyngeal carcinoma patients undergoing radiation therapy, based on dosiomics and radiomics features.
FRONTIERS IN ONCOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Zi-jian Zhang, Zhong-tao Liu, Yun-peng Huang, William Nguyen, Yong-xiang Wang, Lihua Cheng, Hui Zhou, Yu Wen, Li Xiong, Wei Chen
Summary: A nanoparticle was designed with Fe3O4 as the core and BSA as the shell, releasing ferrous ions and CE6 in an acidic microenvironment. CE6 generates ROS to induce apoptosis under laser irradiation, while the ferrous ions catalyze the generation of excess ROS and lipid peroxides, inducing ferroptosis in colorectal cancer cells. Due to the synergistic effect of inducing apoptosis and ferroptosis, the imaging ability, and the good safety of each component, Fe3O4@BSA-CE6 nanoparticles are expected to be used in clinical applications in the future.
MATERIALS TODAY PHYSICS
(2023)
Article
Engineering, Biomedical
Fuxing Deng, Zhiyuan Liu, Wei Fang, Lishui Niu, Xianjing Chu, Quan Cheng, Zijian Zhang, Rongrong Zhou, Guang Yang
Summary: The objective of this study was to develop a machine-learning model that can accurately distinguish between different histologic types of brain lesions in NSCLC patients when it is not safe or feasible to perform a biopsy. The study utilized data from two patient cohorts and compared eight machine learning algorithms. A radiomics model incorporating contrast-enhanced T1 MRI, Xgboost, and SHAP algorithms showed promise in accurately and interpretably identifying brain lesions in patients with NSCLC.
PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE
(2023)
Article
Oncology
Qing Li, Hui Xie, Zefu Jin, Jing Huang, Shuting Wang, Zijian Zhang
Summary: LBX2-AS1 is overexpressed in CRC cell lines, associated with poor prognosis in patients, and knockdown can attenuate the proliferative ability of CRC cells. The study suggests LBX2-AS1 plays a crucial role in the pathogenesis of CRC, providing a potential therapeutic target.
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
(2021)