For: | Inchingolo R, Maino C, Cannella R, Vernuccio F, Cortese F, Dezio M, Pisani AR, Giandola T, Gatti M, Giannini V, Ippolito D, Faletti R. Radiomics in colorectal cancer patients. World J Gastroenterol 2023; 29(19): 2888-2904 [PMID: 37274803 DOI: 10.3748/wjg.v29.i19.2888] |
---|---|
URL: | https://www.wjgnet.com/1007-9327/full/v29/i19/2888.htm |
Number | Citing Articles |
1 |
Jeba Karunya Ramireddy, A. Sathya, Balu Krishna Sasidharan, Amal Joseph Varghese, Arvind Sathyamurthy, Neenu Oliver John, Anuradha Chandramohan, Ashish Singh, Anjana Joel, Rohin Mittal, Dipti Masih, Kripa Varghese, Grace Rebekah, Thomas Samuel Ram, Hannah Mary T. Thomas. Can Pretreatment MRI and Planning CT Radiomics Improve Prediction of Complete Pathological Response in Locally Advanced Rectal Cancer Following Neoadjuvant Treatment?. Journal of Gastrointestinal Cancer 2024; 55(3): 1199 doi: 10.1007/s12029-024-01073-z
|
2 |
Francesco Celotto, Giulia Capelli, Stefania Ferrari, Marco Scarpa, Salvatore Pucciarelli, Gaya Spolverato. Application and use of artificial intelligence in colorectal cancer surgery: where are we?. Artificial Intelligence Surgery 2024; 4(4): 348 doi: 10.20517/ais.2024.26
|
3 |
Zhi-Da Long, Xiao Yu, Zhi-Xiang Xing, Rui Wang. Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis. World Journal of Gastrointestinal Oncology 2025; 17(1): 96598 doi: 10.4251/wjgo.v17.i1.96598
Abstract(126) |
Core Tip(127) |
Full Article(HTML)(590)
|
Full Article with Cover (PDF)-4233K(26)
|
Audio-168K(14)
|
Peer-Review Report-211K(19)
|
Answering Reviewers-71K(20)
|
Supplementary Material-383K(22)
|
Full Article (PDF)-3944K(39)
|
Full Article (XML)-113K(31)
|
Times Cited (1)
|
Total Visits (1635)
|
Open
|
4 |
Vincenza Granata, Roberta Fusco, Maria Chiara Brunese, Gerardo Ferrara, Fabiana Tatangelo, Alessandro Ottaiano, Antonio Avallone, Vittorio Miele, Nicola Normanno, Francesco Izzo, Antonella Petrillo. Machine Learning and Radiomics Analysis for Tumor Budding Prediction in Colorectal Liver Metastases Magnetic Resonance Imaging Assessment. Diagnostics 2024; 14(2): 152 doi: 10.3390/diagnostics14020152
|
5 |
Brigitte Scott. Updates in BRAF V600E-Mutated Metastatic Colorectal Cancer. EMJ Oncology 2024; : 2 doi: 10.33590/emjoncol/JDXK9403
|
6 |
Mingzhu Yuan, Qi Long, Xufang Sun. OCTA-based research on changes of retinal microcirculation in digestive tract malignancy. Photodiagnosis and Photodynamic Therapy 2024; 49: 104270 doi: 10.1016/j.pdpdt.2024.104270
|
7 |
Petr Tsarkov, Vladimir Balaban, Harutyun Babajanyan, Abe Fingerhut, Inna Tulina, Mingze He. Lateral pelvic lymph node positivity (LPLNP) score: predictive clinic-radiological model of lateral pelvic lymph node involvement in rectal cancer patients. International Journal of Colorectal Disease 2024; 39(1) doi: 10.1007/s00384-024-04717-5
|
8 |
Long Wu, Huan Wu, Chen Li, Baofang Zhang, Xiaoyun Li, Yunhuan Zhen, Haiyang Li. Radiomics in colorectal cancer. iRADIOLOGY 2023; 1(3): 236 doi: 10.1002/ird3.29
|
9 |
Roberto Cannella. Combined quantitative and radiomics model can predict outcomes in patients with initially unresectable colorectal liver metastases treated with chemotherapy. Abdominal Radiology 2024; 50(2): 1051 doi: 10.1007/s00261-024-04529-9
|
10 |
Sunya Fu, Dawei Chen, Yuqin Zhang, Xiao Yu, Lu Han, Jiazi Yu, Yupeng Zheng, Liang Zhao, Yidong Xu, Ying Tan, Mian Yang. A CT-based radiomics tumor quality and quantity model to predict early recurrence after radical surgery for colorectal liver metastases. Clinical and Translational Oncology 2024; doi: 10.1007/s12094-024-03645-8
|
11 |
Gui-Wen Lyu, Tong Tong, Gen-Dong Yang, Jing Zhao, Zi-Fan Xu, Na Zheng, Zhi-Fang Zhang. Bibliometric and visual analysis of radiomics for evaluating lymph node status in oncology. Frontiers in Medicine 2024; 11 doi: 10.3389/fmed.2024.1501652
|
12 |
Haiming Zhang, Zhenyu Li, Fengtao Zhang, Hengguo Li. CT-based radiomics features for the differential diagnosis of nodular goiter and papillary thyroid carcinoma: an analysis employing propensity score matching. Frontiers in Oncology 2024; 14 doi: 10.3389/fonc.2024.1465941
|
13 |
Alessio Danilo Inchingolo, Alessandra Laforgia, Angelo Michele Inchingolo, Giulia Latini, Carmen Pezzolla, Paola Nardelli, Andrea Palermo, Francesco Inchingolo, Giuseppina Malcangi, Gianna Dipalma. Rapid palate expansion's impact on nasal breathing: A systematic review. International Journal of Pediatric Otorhinolaryngology 2025; 190: 112248 doi: 10.1016/j.ijporl.2025.112248
|
14 |
Lu-Na Bai, Lu-Xian Zhang. Effectiveness of magnetic resonance imaging and spiral computed tomography in the staging and treatment prognosis of colorectal cancer. World Journal of Gastrointestinal Surgery 2024; 16(7): 2135-2144 doi: 10.4240/wjgs.v16.i7.2135
Abstract(227) |
Core Tip(264) |
Full Article(HTML)(593)
|
Full Article with Cover (PDF)-3371K(105)
|
Full Article (Word)-1040K(2)
|
Audio-651K(10)
|
Peer-Review Report-238K(25)
|
Answering Reviewers-52K(23)
|
Full Article (PDF)-2891K(36)
|
Full Article (XML)-91K(33)
|
Times Cited (0)
|
Total Visits (2118)
|
Open
|
15 |
Tingting Hong, Heng Zhang, Qiming Zhao, Li Liu, Jun Sun, Shudong Hu, Yong Mao. A Hybrid Machine Learning CT-Based Radiomics Nomogram for Predicting Cancer-Specific Survival in Curatively Resected Colorectal Cancer. Academic Radiology 2025; doi: 10.1016/j.acra.2024.12.022
|
16 |
Joanna Urbaniec-Stompór, Maciej Michalak, Janusz Godlewski. Correlating Ultrastructural Changes in the Invasion Area of Colorectal Cancer with CT and MRI Imaging. International Journal of Molecular Sciences 2024; 25(18): 9905 doi: 10.3390/ijms25189905
|
17 |
Fei-Wen Feng, Fei-Yu Jiang, Yuan-Qing Liu, Qi Sun, Rong Hong, Chun-Hong Hu, Su Hu. Radiomics analysis of dual-layer spectral-detector CT-derived iodine maps for predicting tumor deposits in colorectal cancer. European Radiology 2024; 35(1): 105 doi: 10.1007/s00330-024-10918-x
|
18 |
Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti. Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach. Heliyon 2025; 11(1): e41404 doi: 10.1016/j.heliyon.2024.e41404
|
19 |
Benjamin Keel, Aaron Quyn, David Jayne, Samuel David Relton. State-of-the-art performance of deep learning methods for pre-operative radiologic staging of colorectal cancer lymph node metastasis: a scoping review. BMJ Open 2024; 14(12): e086896 doi: 10.1136/bmjopen-2024-086896
|
20 |
Monica Kassavin, Kevin J. Chang. Computed Tomography Colonography. Radiologic Clinics of North America 2025; doi: 10.1016/j.rcl.2024.09.009
|
21 |
Wen-Yu Luan, Hao Lin, Yan-Dong Miao. Recommendations for articles and reviews in colorectal cancer-related research at the year-end of 2023. World Journal of Gastroenterology 2024; 30(30): 3548-3553 doi: 10.3748/wjg.v30.i30.3548
|