Literature DB >> 27125200

Effect of gadolinium contrast-enhanced T1-weighted magnetic resonance imaging for detecting extramural venous invasion in rectal cancer.

Liheng Liu1,2, Linke Yang3, Erhu Jin4, Zhenchang Wang1, Zhenghan Yang1.   

Abstract

PURPOSE: To evaluate the performance of gadolinium contrast-enhanced T1-weighted magnetic resonance imaging (CET1WI) in addition to high-resolution T2-weighted imaging (HRT2WI) for preoperative detection of extramural venous invasion (EMVI) in rectal cancer.
METHODS: Fifty-nine patients with rectal cancer who underwent preoperative MRI were included in this study. The likelihood of EMVI was retrospectively scored by two readers on CET1WI, HRT2WI, and HRT2WI + CET1WI, using a subjective five-point scale ranging from 0 to 4. The pathological status of EMVI was used as a standard reference. Diagnostic parameters, including area under the receiver operating curve (AUC), sensitivity, and specificity, were calculated, and the diagnostic performances of HRT2WI and HRT2WI + CET1WI were compared. Interobserver variance was also evaluated.
RESULTS: Eighteen (30.5%) patients showed pathological EMVI. During EMVI detection, reader A obtained an AUC of 0.768, sensitivity of 72.5%, and specificity of 73.2% from HRT2WI alone; after combination with CET1WI, these values improved to 0.864, 83.3%, and 75.6%, respectively. Differences in AUC between these techniques were not significant (p = 0.056). Reader B obtained an AUC of 0.833, sensitivity of 77.8%, and specificity of 73.2% from HRT2WI alone; after combination with CET1W1, these figures were adjusted to 0.720, 50%, and 78%; differences in AUC between techniques were significant (p = 0.027). Interobserver agreement during EMVI scoring was good for HRT2WI (κ = 0.603) and moderate for HRT2WI + CET1WI (κ = 0.413).
CONCLUSIONS: Although interobserver agreement decreased, combination of CET1WI with HRT2WI could improve EMVI detection.

Entities:  

Keywords:  Contrast agent; Diagnosis; Magnetic resonance imaging; Neoplasm invasiveness; Rectal cancer

Mesh:

Substances:

Year:  2016        PMID: 27125200     DOI: 10.1007/s00261-016-0740-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  2 in total

1.  Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer.

Authors:  Siye Liu; Xiaoping Yu; Songhua Yang; Pingsheng Hu; Yingbin Hu; Xiaoyan Chen; Yilin Li; Zhe Zhang; Cheng Li; Qiang Lu
Journal:  Front Oncol       Date:  2021-03-26       Impact factor: 6.244

2.  MRI Evaluation of Extramural Venous Invasion (EMVI) with Rectal Carcinoma Using High Resolution T2 and Combination of High Resolution T2 and Contrast Enhanced T1 Weighted Imaging.

Authors:  Amela Sofic; Azra Husic-Selimovic; Alma Efendic; Adnan Sehic; Fuad Julardzija; Midhat Cizmic; Eldina Beslagic; Lejla Aladjuz-Granov
Journal:  Acta Inform Med       Date:  2021-06
  2 in total

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