Literature DB >> 35782274

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

Lidi Ma1, Shanshan Lian1, Huimin Liu1, Tiebao Meng1, Weilong Zeng1, Rui Zhong1, Linchang Zhong1, Chuanmiao Xie1.   

Abstract

Background: Numerous factors are related to the prognosis of rectal cancer, including T stage, N stage, metastasis, extramural venous invasion (EMVI), circumferential resection margin (CRM), and tumor differentiation. However, it is still a challenge to precisely evaluate them before therapy; therefore, we investigate whether synthetic magnetic resonance imaging and apparent diffusion coefficient (ADC) values could help predict the prognostic factors of rectal cancer.
Methods: Eighty-seven patients (55 men and 32 women; mean age, 59±11 years) with pathologically confirmed rectal cancer were enrolled. Preoperative quantitative metrics, including T1, T2, proton density (PD), and ADC values, were measured with diffusion-weighted imaging (DWI) acquired by a single-shot echo-planar sequence and synthetic magnetic resonance imaging acquired by a multi-dynamic multi-echo sequence at 3.0 T, in patients with rectal cancer by two radiologists. We evaluated the diagnostic performance of synthetic magnetic resonance imaging using the independent sample t-test or Mann-Whitney U test and receiver operating characteristic (ROC) curve and multivariate logistic regression analyses and compared the area under the ROC curve of quantitative values using the DeLong test.
Results: The T2 and PD values showed a significant reduction among patients with poor differentiation and lymph node metastasis in rectal cancer. The area under the ROC curve values of T2 and PD values for predicting magnetic resonance imaging N stage and differentiation were 0.734, 0.682, and 0.673, 0.686, respectively. Moreover, combining T2 and PD values for magnetic resonance imaging N stage slightly improved the area under the ROC curve value of 0.774 (95% CI, 0.673-0.876). In the present study, the ADC and T1 values were not significant in the differentiation or clinical stage of rectal cancer (RC). Conclusions: Quantitative T2 and PD values obtained by synthetic magnetic resonance imaging might be used for evaluating prognostic factors of rectal cancer noninvasively. Furthermore, combining T2 and PD values further improved the diagnostic performance of magnetic resonance imaging N staging in rectal cancer. The ADC and T1 values were not significant in the differentiation or clinical stage of RC. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Synthetic magnetic resonance imaging (synthetic MRI); prognostic factors; rectal cancer

Year:  2022        PMID: 35782274      PMCID: PMC9246756          DOI: 10.21037/qims-22-24

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  38 in total

1.  Effects of preoperative chemoradiotherapy on anal sphincter functions and quality of life in rectal cancer patients.

Authors:  Aras Emre Canda; Cem Terzi; Ilknur B Gorken; Ilhan Oztop; Selman Sokmen; Mehmet Fuzun
Journal:  Int J Colorectal Dis       Date:  2009-09-26       Impact factor: 2.571

2.  Prediction of Clinical Pathologic Prognostic Factors for Rectal Adenocarcinoma: Volumetric Texture Analysis Based on Apparent Diffusion Coefficient Maps.

Authors:  Zhihua Lu; Lei Wang; Kaijian Xia; Heng Jiang; Xiaoyan Weng; Jianlong Jiang; Mei Wu
Journal:  J Med Syst       Date:  2019-11-07       Impact factor: 4.460

3.  Diffusion Kurtosis Imaging Study of Rectal Adenocarcinoma Associated with Histopathologic Prognostic Factors: Preliminary Findings.

Authors:  Lan Zhu; Zilai Pan; Qian Ma; Wenjie Yang; Hongyuan Shi; Caixia Fu; Xu Yan; Lianjun Du; Fuhua Yan; Huan Zhang
Journal:  Radiology       Date:  2016-12-05       Impact factor: 11.105

4.  The use of MR imaging in treatment planning for patients with rectal carcinoma: have you checked the "DISTANCE"?

Authors:  Stephanie Nougaret; Caroline Reinhold; Hisham W Mikhael; Philippe Rouanet; Frédéric Bibeau; Gina Brown
Journal:  Radiology       Date:  2013-08       Impact factor: 11.105

5.  Quantitative apparent diffusion coefficients and T2 relaxation times in characterizing contrast enhancing brain tumors and regions of peritumoral edema.

Authors:  Joonmi Oh; Soonmee Cha; Ashley H Aiken; Eric T Han; Jason C Crane; Jeffrey A Stainsby; Graham A Wright; William P Dillon; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2005-06       Impact factor: 4.813

6.  Investigation of Synthetic Relaxometry and Diffusion Measures in the Differentiation of Benign and Malignant Breast Lesions as Compared to BI-RADS.

Authors:  Weibo Gao; Shuqun Zhang; Jinxia Guo; Xiaocheng Wei; Xiaohui Li; Yan Diao; Wei Huang; Yue Yao; Ali Shang; Yanyan Zhang; Quanxin Yang; Xin Chen
Journal:  J Magn Reson Imaging       Date:  2020-11-12       Impact factor: 4.813

7.  T1-Mapping and Outcome in Nonischemic Cardiomyopathy: All-Cause Mortality and Heart Failure.

Authors:  Valentina O Puntmann; Gerry Carr-White; Andrew Jabbour; Chung-Yao Yu; Rolf Gebker; Sebastian Kelle; Rocio Hinojar; Adelina Doltra; Niharika Varma; Nicholas Child; Toby Rogers; Gonca Suna; Eduardo Arroyo Ucar; Ben Goodman; Sitara Khan; Darius Dabir; Eva Herrmann; Andreas M Zeiher; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2016-01

Review 8.  SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.

Authors:  Akifumi Hagiwara; Marcel Warntjes; Masaaki Hori; Christina Andica; Misaki Nakazawa; Kanako Kunishima Kumamaru; Osamu Abe; Shigeki Aoki
Journal:  Invest Radiol       Date:  2017-10       Impact factor: 6.016

9.  Prognostic value of lymph node metastasis in patients with T1-stage colorectal cancer from multiple centers in China.

Authors:  Zhen-Qiang Sun; Shuai Ma; Quan-Bo Zhou; Shuai-Xi Yang; Yuan Chang; Xiang-Yue Zeng; Wei-Guo Ren; Fang-Hai Han; Xiang Xie; Fan-Ye Zeng; Xian-Tao Sun; Gui-Xian Wang; Zhen Li; Zhi-Yong Zhang; Jun-Min Song; Jin-Bo Liu; Wei-Tang Yuan
Journal:  World J Gastroenterol       Date:  2017-12-28       Impact factor: 5.742

10.  Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results.

Authors:  Lisa C Adams; Keno K Bressem; Phillipp Jurmeister; Ute L Fahlenkamp; Bernhard Ralla; Guenther Engel; Bernd Hamm; Jonas Busch; Marcus R Makowski
Journal:  Cancer Imaging       Date:  2019-06-07       Impact factor: 3.909

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.