No.

Publication Date

Citing Article

1

2025

Cillian H. Cheng, Su-sheng Shi. Artificial intelligence in cancer: applications, challenges, and future perspectives, Molecular Cancer. 2025; 24: 274.  https://doi.org/10.1186/s12943-025-02450-3

2

2025

Ning Tang, Shicen Pan, Qirong Zhang, Jian Zhou, Zhiwei Zuo, Rui Jiang, Jinping Sheng. Radiomics for prediction of perineural invasion in colorectal cancer: a systematic review and meta-analysis, Abdominal Radiology. 2025; 50: 3415.  https://doi.org/10.1007/s00261-024-04713-x

3

2024

Yoshinori Kagawa, J. Joshua Smith, Emmanouil Fokas, Jun Watanabe, Andrea Cercek, Florian R. Greten, Hideaki Bando, Qian Shi, Julio Garcia-Aguilar, Paul B. Romesser, Natally Horvat, Hanna Sanoff, William Hall, Takeshi Kato, Claus Rödel, Arvind Dasari, Takayuki Yoshino. Future direction of total neoadjuvant therapy for locally advanced rectal cancer, Nature Reviews Gastroenterology & Hepatology. 2024; 21: 444.  https://doi.org/10.1038/s41575-024-00900-9

4

2025

Zhao Xiaoxin, Ma Hongzhou. 2025;   https://doi.org/10.21203/rs.3.rs-7079111/v1

5

2024

Samira Abbaspour, Maedeh Barahman, Hamid Abdollahi, Hossein Arabalibeik, Ghasem Hajainfar, Mohammadreza Babaei, Hamed Iraji, Mohammadreza Barzegartahamtan, Mohammad Reza Ay, Seied Rabi Mahdavi. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study, Biomedical Physics & Engineering Express. 2024; 10: 015017.  https://doi.org/10.1088/2057-1976/ad0f3e

6

2025

Roberto García-Figueiras, Sandra Baleato-Gonzalez, David H. Kim, Stephanie Nougaret, Juan-Ramón Ayuso, Ana Marhuenda, Joan C. Vilanova, Antonio Luna. MRI’s evolving role in rectal cancer in the era of personalized medicine, Abdominal Radiology. 2025; 51: 523.  https://doi.org/10.1007/s00261-025-05064-x

7

2024

Yaniv Zager, Nir Horesh, Michael Abdelmasseh, Christopher T. Aquina, Bustamante Lopez Leonardo Alfonso, Mark K. Soliman, Matthew R. Albert, John R. T. Monson. The predicting value of post neoadjuvant treatment magnetic resonance imaging: a meta-analysis, Surgical Endoscopy. 2024; 38: 6846.  https://doi.org/10.1007/s00464-024-11084-3

8

2026

Alberto Patriti, Paola Antonella Greco, Alessio Pigazzi. Enhancing Surgeons’ Cognitive Performance in Colorectal Surgery: A Narrative Review, Journal of Laparoendoscopic & Advanced Surgical Techniques. 2026; 10926429261421999.  https://doi.org/10.1177/10926429261421999

9

2024

Liang Zhang, Xueting Qu, Feng Duan, Jizheng Lin, Henan Lou, Guohua Wang. 2024;   https://doi.org/10.21203/rs.3.rs-3991272/v1

10

2026

Apekshya Singh, Xiao-Fu Li, Sheng-Ming Shi, Han Liu, Yu-peng Wu, Sanjeev Nirala. Emerging MRI Biomarkers for Prognostication in Rectal Cancer, Current Cancer Therapy Reviews. 2026; 22: 75.  https://doi.org/10.2174/0115733947344693241018081807

11

2024

Heying Xie, Yin Jia, Shanrong Liu. Integration of artificial intelligence in clinical laboratory medicine: Advancements and challenges, Interdisciplinary Medicine. 2024; 2: e20230056.  https://doi.org/10.1002/INMD.20230056

12

2024

Ying Zhu, Yaru Wei, Zhongwei Chen, Xiang Li, Shiwei Zhang, Caiyun Wen, Guoquan Cao, Jiejie Zhou, Meihao Wang. Different radiomics annotation methods comparison in rectal cancer characterisation and prognosis prediction: a two-centre study, Insights into Imaging. 2024; 15: 211.  https://doi.org/10.1186/s13244-024-01795-5

13

2026

Jawad Ali Memon, Zubair Ali Memon, Mohammad Sibtain Shah, Uzma Malik, Mohammad Saleh Chandio. Assessment of Chemotherapy Response in Colorectal Cancer Using Pet‐Ct Versus DWI‐MRI, Journal of Medical Imaging and Radiation Oncology. 2026; 1754-9485.70079.  https://doi.org/10.1111/1754-9485.70079

14

2025

Vittorio Patanè, Umberto Atripaldi, Mario Sansone, Luca Marinelli, Sara Del Tufo, Gianluca Arrichiello, Davide Ciardiello, Francesco Selvaggi, Erika Martinelli, Alfonso Reginelli. MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis, International Journal of Colorectal Disease. 2025; 40: 174.  https://doi.org/10.1007/s00384-025-04969-9