Academic Content and Language Evaluation of This Article
CrossCheck and Google Search of This Article
Academic Rules and Norms of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (5982)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Jul 7, 2021 (publication date) through Apr 26, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Hou M, Sun JH. Emerging applications of radiomics in rectal cancer: State of the art and future perspectives. World J Gastroenterol 2021; 27(25): 3802-3814 [PMID: 34321845 DOI: 10.3748/wjg.v27.i25.3802] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5182/full/v27/i25/3802.htm |
| Number | Citing Articles |
| 1 |
Yu-quan Wu, Rui-zhi Gao, Peng Lin, Rong Wen, Hai-yuan Li, Mei-yan Mou, Feng-huan Chen, Fen Huang, Wei-jie Zhou, Hong Yang, Yun He, Ji Wu. An endorectal ultrasound-based radiomics signature for preoperative prediction of lymphovascular invasion of rectal cancer. BMC Medical Imaging 2022; 22(1) doi: 10.1186/s12880-022-00813-6
|
| 2 |
Pengfei Tong, Danqi Sun, Guangqiang Chen, Jianming Ni, Yonggang Li. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer. BMC Cancer 2023; 23(1) doi: 10.1186/s12885-023-10534-w
|
| 3 |
Ruobing Hu, Xiuling Li, Xiaomin Zhou, Songze Ding. Development and validation of a competitive risk model in patients with rectal cancer: based on SEER database. European Journal of Medical Research 2023; 28(1) doi: 10.1186/s40001-023-01357-3
|
| 4 |
Azadeh Tabari, Shin Mei Chan, Omar Mustafa Fathy Omar, Shams I. Iqbal, Michael S. Gee, Dania Daye. Role of Machine Learning in Precision Oncology: Applications in Gastrointestinal Cancers. Cancers 2022; 15(1): 63 doi: 10.3390/cancers15010063
|
| 5 |
Yue Miao, Siyuan Tang, Zhuqiang Zhang, Jukun Song, Zhi Liu, Qiang Chen, Miao Zhang. Application of deep learning and XGBoost in predicting pathological staging of breast cancer MR images. The Journal of Supercomputing 2024; 80(7): 8933 doi: 10.1007/s11227-023-05797-w
|
| 6 |
Ilaria Canfora, Giuseppe Cutaia, Marco Marcianò, Mauro Calamia, Roberta Faraone, Roberto Cannella, Viviana Benfante, Albert Comelli, Giovanni Guercio, Lo Re Giuseppe, Giuseppe Salvaggio. Image Analysis and Processing. ICIAP 2022 Workshops. Lecture Notes in Computer Science 2022; 13373: 431 doi: 10.1007/978-3-031-13321-3_38
|
| 7 |
Rui Chen, Yan Fu, Xiaoping Yi, Qian Pei, Hongyan Zai, Bihong T. Chen, Xingrong Du. Application of Radiomics in Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: Strategies and Challenges. Journal of Oncology 2022; 2022: 1 doi: 10.1155/2022/1590620
|
| 8 |
Thomas DeSilvio, Jacob T. Antunes, Kaustav Bera, Prathyush Chirra, Hoa Le, David Liska, Sharon L. Stein, Eric Marderstein, William Hall, Rajmohan Paspulati, Jayakrishna Gollamudi, Andrei S. Purysko, Satish E. Viswanath. Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study. Frontiers in Medicine 2023; 10 doi: 10.3389/fmed.2023.1149056
|
| 9 |
如勇 秘. MDT Evaluation of Precision Therapy in Rectal Cancer. Advances in Clinical Medicine 2023; 13(08): 12291 doi: 10.12677/ACM.2023.1381722
|
| 10 |
Lilang Lv, Bowen Xin, Yichao Hao, Ziyi Yang, Junyan Xu, Lisheng Wang, Xiuying Wang, Shaoli Song, Xiaomao Guo. Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT. Journal of Translational Medicine 2022; 20(1) doi: 10.1186/s12967-022-03262-5
|
| 11 |
Pak Kin Wong, In Neng Chan, Hao-Ming Yan, Shan Gao, Chi Hong Wong, Tao Yan, Liang Yao, Ying Hu, Zhong-Ren Wang, Hon Ho Yu. Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview. World Journal of Gastroenterology 2022; 28(45): 6363-6379 doi: 10.3748/wjg.v28.i45.6363
|
| 12 |
Jiali Lyu, Zhenzhu Pang, Jihong Sun. Radiomics prediction of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Radiology Science 2024; 3(1) doi: 10.15212/RADSCI-2023-0005
|
| 13 |
Samira Abbaspour, Hamid Abdollahi, Hossein Arabalibeik, Maedeh Barahman, Amir Mohammad Arefpour, Pedram Fadavi, Mohammadreza Ay, Seied Rabi Mahdavi. Endorectal ultrasound radiomics in locally advanced rectal cancer patients: despeckling and radiotherapy response prediction using machine learning. Abdominal Radiology 2022; 47(11): 3645 doi: 10.1007/s00261-022-03625-y
|