Prediction of lymphovascular invasion and lymph node metastasis in rectal cancer based on mDixon-Quant combined with blood cell parameters
10.12354/j.issn.1000-8179.2024.20240857
- VernacularTitle:基于mDixon-Quant联合血细胞参数预测直肠癌脉管侵犯及淋巴结转移的研究
- Author:
Zhao YADI
1
;
Yang JIE
;
Xue HUI
;
LI YUANJIE
;
Wang ZHIQIANG
;
Xie ZONGYUAN
Author Information
1. 华北理工大学附属医院医学影像中心 河北省唐山市063000
- Publication Type:Journal Article
- Keywords:
rectal cancer (RC);
magnetic resonance imaging (MRI);
mDixon-Quant;
lymphovascular invasion (LVI);
lymph node meta-stasis (LNM);
blood cell parameters;
lipid metabolism
- From:
Chinese Journal of Clinical Oncology
2024;51(21):1092-1097
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the value of mDixon-Quant imaging combined with blood cell parameters in assessing lymphovascular invasion (LVI) and lymph node metastasis (LNM) in rectal cancer (RC). Methods:Clinical and magnetic resonance imaging (MRI) data were retrospectively collected from 62 patients with pathologically confirmed RC at North China University of Science and Technology Affiliated Hospital from November 2022 to June 2024. We calculated the ratio of blood cell parameters and measured the mDixon-Quant parameters,including fat fraction (FF),R2* value,and T2* value,of the lesions. We compared these metrics across groups and performed multiple Lo-gistic regression analyses to identify risk factors associated with LVI and LNM. Additionally,we calculated the area under the curve (AUC) of the receiver operating characteristic (ROC) to evaluate predictive efficacy. Smooth curve fitting and Spearman correlation analysis were used to evaluate the relationship between imaging and blood cell parameters. Results:The R2* value,neutrophil to lymphocyte ratio (NLR),sys-temic immune-inflammation index (SII),and systemic inflammatory response index (SIRI) were significantly higher in the LVI-positive group compared to those in the negative group. Similarly,the LNM-positive group showed higher R2* value,FF value,NLR,platelet to lymphocyte ratio (PLR),SII,and SIRI than the negative group,with all differences being statistically significant (P<0.05). R2* and SII were identified as in-dependent risk factors for LVI,with AUCs of R2*,SII,and R2*+SII being 0.752,0.802,and 0.883,respectively. R2*,FF,and SII were independ-ent risk factors for LNM,and the AUCs of R2*,FF,SII,R2*+FF,and R2*+FF+SII were 0.733,0.702,0.778,0.825 and 0.857,respectively. Cor-relation analysis indicated a positive relationship between FF and several blood cell parameters,including NLR,monocyte to lymphocyte ra-tio (MLR),SII,and SIRI (r=0.534,0.451,0.353,0.468,P<0.05). Conclusions:Both mDixon-Quant imaging and blood cell parameters are effect-ive for assessing LVI and LNM status in RC. In addition,the correlation between FF and various blood cell parameters highlights the potential role of abnormal lipid metabolism and inflammatory responses in the development of RC,suggesting new avenues for developing clinically tailored treatment protocols.
