Review
Radiology, Nuclear Medicine & Medical Imaging
Akitoshi Inoue, Shannon P. Sheedy, Jay P. Heiken, Payam Mohammadinejad, Rondell P. Graham, Hee Eun Lee, Scott R. Kelley, Stephanie L. Hansel, David H. Bruining, Jeff L. Fidler, Joel G. Fletcher
Summary: MRI is commonly used for staging rectal cancer and detecting EMVI, a predictor for worse prognosis. T2-weighted and diffusion-weighted images can help identify EMVI, while contrast enhanced T1-weighted images show tumor signal intensity.
INSIGHTS INTO IMAGING
(2021)
Article
Gastroenterology & Hepatology
Taru M. Lehtonen, Laura E. Koskenvuo, Toni T. Seppala, Anna H. Lepisto
Summary: This study found that extramural venous invasion observed in preoperative MRI is a significant prognostic factor for poorer survival and recurrences in rectal cancer patients. A circumferential margin <= 1 mm is associated with local recurrence, but this risk can be controlled with chemoradiotherapy and extended surgery.
COLORECTAL DISEASE
(2022)
Review
Surgery
Francois Rouleau Fournier, Mohammad Ali K. Motamedi, Carl J. Brown, Terry Phang, Manoj J. Raval, Cameron J. Hague, Ahmer A. Karimuddin
Summary: This review aimed to demonstrate the significance of pre- and post-treatment MRI-detected EMVI as independent prognostic factors in patients undergoing neoadjuvant therapy followed by total mesorectal excision.
Article
Radiology, Nuclear Medicine & Medical Imaging
Li Zhao, Meng Liang, Yang Yang, Hongmei Zhang, Xinming Zhao
Summary: The study investigated parameters from different DWI models to evaluate false-negative EMVI in rectal cancer patients on conventional MRI. The combination of DWI parameters and tumor location showed superior diagnostic performance in identifying patients with false-negative EMVI.
EUROPEAN JOURNAL OF RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yongjian Zhu, Yutao Zhou, Wen Zhang, Liyan Xue, Ying Li, Jun Jiang, Yuxin Zhong, Sicong Wang, Liming Jiang
Summary: Quantitative DCE-MRI parameters, K-trans and k(ep), and DWI parameter, ADC, are independent predictors of pEMVI in LAGC. The predictive results of mrEMVI were confirmed to be related to RFS prognosis.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2021)
Article
Oncology
Fei Gao, Bin Shi, Peipei Wang, Chuanbin Wang, Xin Fang, Jiangning Dong, Tingting Lin
Summary: This study aimed to evaluate the value of 3.0T MRI IVIM-DWI parameters combined with texture analysis in evaluating extramural vascular invasion (EMVI) of rectal adenocarcinoma. Results showed statistically significant differences in the measured parameters between EMVI positive and negative patients. A prediction model was established, and the AUC of the model was higher than that of other single parameters.
FRONTIERS IN ONCOLOGY
(2022)
Article
Oncology
Siye Liu, Xiaoping Yu, Songhua Yang, Pingsheng Hu, Yingbin Hu, Xiaoyan Chen, Yilin Li, Zhe Zhang, Cheng Li, Qiang Lu
Summary: A radiomics nomogram based on primary tumor features was established and validated to predict preoperative pathological extramural venous invasion (EMVI) in rectal cancer using machine learning. The nomogram showed high efficiency in predicting EMVI, helping patients choose optimal treatment strategies.
FRONTIERS IN ONCOLOGY
(2021)
Review
Oncology
Jessica Juliana Tan, Rachel V. Carten, Amna Babiker, Muti Abulafi, Amy C. Lord, Gina Brown
Summary: mrEMVI is significantly associated with worsened survival outcomes in rectal cancer, both at baseline and after neoadjuvant treatment. Regression of mrEMVI after neoadjuvant treatment is associated with improved survival outcomes. Accurate and consistent reporting of mrEMVI status is essential.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weicui Chen, Guoqing Liu, Jialiang Chen, Qiurong Wei, Yongsong Ye, Xiaohua Du, Jiepin Feng, Zhaoxian Yan, Kan Deng, Xian Liu
Summary: Whole-tumor histogram analysis of APTw images combined with clinical factors showed better diagnostic efficiency in predicting pEMVI involvement in rectal adenocarcinoma compared to conventional MRI assessment.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weicui Chen, Qiurong Wei, Weikang Huang, Jialiang Chen, Shaowei Hu, Xia Lv, Liting Mao, Bo Liu, Wu Zhou, Xian Liu
Summary: This study investigates the diagnostic ability of diffusion kurtosis imaging (DKI) in combination with clinical data as risk factors for EMVI's involvement status in rectal adenocarcinoma. The results show that the K-mean values derived from DKI are positively correlated with EMVI scores, while ADC(mean) values are negatively correlated. Multivariate analysis identifies Kmean values, lymph node involvement, and advanced tumor stage as independent risk factors for EMVI. These findings highlight the potential of DKI as a biomarker for evaluating EMVI.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Cui Tang, Gaixia Lu, Jinming Xu, Jie Kuang, Jinlei Xu, Peijun Wang
Summary: This study investigated the prognostic value of DKI-derived parameters, conventional ADC values, and mrEMVI in rectal cancer patients. The results showed that these parameters were associated with different histopathological prognostic factors and could be used to distinguish mucinous adenocarcinoma from common adenocarcinoma. They also showed potential for discriminating KRAS mutation.
ABDOMINAL RADIOLOGY
(2023)
Article
Surgery
Osman Serhat Guner, Latif Volkan Tumay
Summary: In rectal cancer patients, persistent EMVI positivity after neoadjuvant therapy may serve as an independent predictor of poor overall survival and disease-free survival, along with mesorectal fascia involvement and poor differentiation as significant independent predictors of worse disease-free survival.
ASIAN JOURNAL OF SURGERY
(2021)
Article
Medicine, General & Internal
Mohammed S. Alshuhri, Abdulaziz Alduhyyim, Haitham Al-Mubarak, Ahmad A. Alhulail, Othman I. Alomair, Yahia Madkhali, Rakan A. Alghuraybi, Abdullah M. Alotaibi, Abdullalh G. M. Alqahtani
Summary: Machine learning models using MRI radiomics can accurately predict the KRAS mutation status and tumor grading in colorectal cancer patients. This has the potential to guide personalized treatment decisions and improve patients' outcomes.
Article
Oncology
Yang Peng, Yan Luo, Xuemei Hu, Yaqi Shen, Daoyu Hu, Zhen Li, Ihab Kamel
Summary: The study found a positive correlation between R2* values and several histopathological prognostic factors of rectal cancer, while ADC values were negatively correlated with most prognostic factors. R2* and ADC showed a high diagnostic performance in discriminating prognostic factors of rectal cancer.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Lianfen Tian, Ningqin Li, Dong Xie, Qiang Li, Chuanji Zhou, Shilai Zhang, Lijuan Liu, Caiyun Huang, Lu Liu, Shaolu Lai, Zheng Wang
Summary: This study verified the value of MRI to construct a nomogram for preoperatively predicting EMVI in rectal cancer. The nomogram including MRI characteristics showed good predictive ability for EMVI in both the internal training and external validation groups.
FRONTIERS IN ONCOLOGY
(2023)