Literature DB >> 33744506

Prediction of pathological prognostic factors of rectal cancer by relaxation maps from synthetic magnetic resonance imaging.

Li Zhao1, Meng Liang2, Lizhi Xie3, Yang Yang4, Hongmei Zhang5, Xinming Zhao6.   

Abstract

PURPOSE: To explore the feasibility of relaxation maps from synthetic MRI for predicting pathological prognostic factors of rectal cancer (RC) and to compare the predictive performance of quantitative values and conventional subjective evaluation.
MATERIAL AND METHODS: A total of 94 patients with pathologically proven RC who underwent direct surgical resection were enrolled in this prospective study. Preoperative rectal MRI including synthetic MRI was performed. The mean T1, T2, and PD value of the whole tumor was obtained to preoperatively assess the pathological T stage, N stage, extramural venous invasion (EMVI), differentiation, and perineural invasion. Receiver operating characteristic curves were used to explore the predictive performance for assessing the prognostic factors. The T stage, N stage and EMVI status on conventional T2WI were evaluated and compared with the quantitative values.
RESULTS: The T2 value decreased significantly in patients with positive perineural invasion, lymph node metastasis (LNM), EMVI, and higher T stage RC (p =  0.007 and < 0.001). The T1 value of LNM and EMVI positive groups was significantly lower than those of the negative groups (p =  0.034 and 0.011). For predicting N stage and EMVI, the T2 value demonstrated good performance with an AUC of 0.883 (95 % confidence interval, CI, 0.801-0.940) and 0.821 (95 % CI, 0.729-0.893); the T2 value was superior to the T1 value and subjective evaluation of radiologists (all p < 0.05).
CONCLUSION: Synthetic MRI is a promising tool for noninvasive evaluation of prognostic factors of RC by generating relaxation maps.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Magnetic resonance imaging; Prognostic factors; Rectal neoplasms

Mesh:

Year:  2021        PMID: 33744506     DOI: 10.1016/j.ejrad.2021.109658

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  4 in total

1.  Diagnostic performance of synthetic magnetic resonance imaging in the prognostic evaluation of rectal cancer.

Authors:  Lidi Ma; Shanshan Lian; Huimin Liu; Tiebao Meng; Weilong Zeng; Rui Zhong; Linchang Zhong; Chuanmiao Xie
Journal:  Quant Imaging Med Surg       Date:  2022-07

2.  Synthetic MRI in differentiating benign from metastatic retropharyngeal lymph node: combination with diffusion-weighted imaging.

Authors:  Peng Wang; Shudong Hu; Xiuyu Wang; Yuxi Ge; Jing Zhao; Hongyan Qiao; Jun Chang; Weiqiang Dou; Heng Zhang
Journal:  Eur Radiol       Date:  2022-08-11       Impact factor: 7.034

3.  The Preoperative Diagnostic Performance of Multi-Parametric Quantitative Assessment in Rectal Carcinoma: A Preliminary Study Using Synthetic Magnetic Resonance Imaging.

Authors:  Kexin Zhu; Zhicheng Chen; Lingling Cui; Jinli Zhao; Yi Liu; Jibin Cao
Journal:  Front Oncol       Date:  2022-05-25       Impact factor: 5.738

4.  Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging.

Authors:  Amaresha Shridhar Konar; Ramesh Paudyal; Akash Deelip Shah; Maggie Fung; Suchandrima Banerjee; Abhay Dave; Nancy Lee; Vaios Hatzoglou; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2022-07-26       Impact factor: 6.575

  4 in total

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