|Table of Contents|

The value of CT-based radiomics model in the evaluation of perineural or lympho-vascular invasion in rectal cancer

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 19
Page:
3738-3743
Research Field:
Publishing date:

Info

Title:
The value of CT-based radiomics model in the evaluation of perineural or lympho-vascular invasion in rectal cancer
Author(s):
YU Jingzhou12LYU Xiaojing1SUN Yalin1REN Shuai1WANG Zhongqiu1
1.Department of Radiology,Affiliated Hospital of Nanjing University of Chinese Medicine(Jiangsu Province Hospital of Chinese Medicine),Jiangsu Nanjing 210029,China;2.Department of Radiology,the Second Affiliated Hospital of Nanjing University of Chinese Medicine(Jiangsu Provincial Second Traditional Chinese Medicine Hospital),Jiangsu Nanjing 210017,China.
Keywords:
tomographyX-ray computerrectal cancerdiagnosisradiomics
PACS:
R735.3+7
DOI:
10.3969/j.issn.1672-4992.2024.19.019
Abstract:
Objective:To investigate the value of evaluating nerve or lympho-vascular invasion around rectal cancer based on CT radiomics model.Methods:The clinical and imaging data of 196 patients with colorectal cancer confirmed by pathology in our hospital from December 2017 to June 2021 were retrospectively analyzed.There were 107 cases without nerve and lympho-vascular invasion,and 89 cases with nerve or lympho-vascular invasion.All patients underwent preoperative total abdominal CT scan and enhanced scan.The stratified random sampling method divided patients into training group and test group by 8∶2 ratio (157 vs 39).A total of 113 radiomics features were extracted by PyRadiomics software based on preoperative CT images.Spearman correlation analysis and least absolute shrinkage and selection operator (LASSO) were used for feature selection and model building.Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic potential of the CT-based radiomics model in the prediction of nerve or lympho-vascular invasion around rectal cancer.Results:After feature selection,13 radiomics features in plain scan and 15 in venous phase were used to construct a model for evaluating the presence or absence of nerve or lympho-vascular invasion around rectal cancer.In the training group,the area under curve (AUC) of the prediction model was 0.91 (95% CI:0.86~0.96) with 91.8% sensitivity,76.6% specificity,and 83.3% accuracy.In the test group,the AUC was 0.91 (95%CI:0.82~0.97),with 85.7% sensitivity,80.0% specificity,and 82.7% accuracy.Conclusion:The CT-based radiomics model could be used to evaluate the presence of nerve and lympho-vascular invasion around rectal cancer,which showed a high diagnostic performance.

References:

[1]SIEGEL RL,GIAQUINTO AN,JEMAL A.Cancer statistics,2024[J].CA Cancer J Clin,2024,74(1):12-49.
[2]赵文静,尹周一,王裕新,等.2024美国癌症统计报告解读及中美癌症流行情况对比[J]. 肿瘤防治研究,2024,51(8):630-641. ZHAO WJ,YIN ZY,WANG YX,et al.Interpretation of cancer statistics report in the United States and comparison of cancer incidence in China and the United States in 2024[J].Cancer Prevention and Treatment Research,2024,51(8):630-641.
[3]练磊,兰平.国家卫健委中国结直肠癌诊疗规范解读(2020版)-外科部分[J].临床外科杂志,2021,29(01):10-12. LIAN L,LAN P.Interpretation of the national health commission's China olorectal cancer diagnosis and treatment norms (2020 edition) - surgical part[J].Journal of Clinical Surgery,2021,29(01):10-12.
[4]ANDERSON BM,RIGUAD B,LIN YM,et al.Automated segmentation of colorectal liver metastasis and liver ablation on contrast-enhanced CT images[J].Front Oncol,2022,12:886517.
[5]GRANATA V,FUSCO R,DE MUZIO F,et al.Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases[J].Radiol Med,2022,127(7):763-772.
[6]BELLINI D,CARBONE I,RENGO M,et al.Performance of machine learning and texture analysis for predicting response to neoadjuvant chemoradiotherapy in locally dvanced rectal cancer with 3T MRI[J].Tomography,2022,8(4):2059-2072.
[7]PENG H,LONG F,DING C.Feature selection based on mutual information criteria of max-dependency,max-relevance,and Min-redundancy[J].IEEE Trans Pattern Anal Mach Intell,2005,27(8):1226-1238.
[8]KAMMER M,DUNKLER D,MICHIELS S,et al.Evaluating methods for Lasso selective inference in biomedical research: a comparative simulation study[J].BMC Med Res Methodol,2022,22(1):206.
[9]郑文霞,王莉莉,陈杏彪,等.光谱CT量化的细胞外容积评估结直肠癌神经、血管及淋巴管浸润[J].中国医学影像学杂志,2022,30(09):896-902. ZHENG WX,WANG LL,CHEN XB,et al.Extracellular volume quantified by spectral CT to assess neurovascular and lymphatic infiltration in patient with colorectal cancer[J].Chinese Journal of Medical Imaging,2022,30(09):896-902.
[10]STOFFEL EM,MURPHY CC.Epidemiology and mechanisms of the increasing incidence of colon and rectal cancers in young adults[J].Gastroenterology,2020,158(2):341-353.
[11]HORVAT N,CARLOS TAVARES ROCHA C,CLEMENTE OLIVEIRA B,et al.MRI of rectal cancer:tumor staging,imaging techniques,and management[J].Radiographics,2019,39(2):367-387.
[12]NAKANISHI R,AKIYOSHI T,TODA S,et al.Radiomics approach outperforms diameter criteria for predicting pathological lateral lymph node metastasis after neoadjuvant(chemo)radiotherapy in advanced low rectal cancer[J].Ann Surg Oncol,2020,27(11):4273-4283.
[13]BENSON AB,VENOOK AP,AL-HAWARY MM,et al.NCCN guidelines insights:rectal cancer,version 6.2020[J].J Natl Compr Canc Netw,2020,18(7):806-815.
[14]BENSON AB,VENOOK AP,AL-HAWARY MM,et al.Rectal cancer,version 2.2022,NCCN clinical practice guidelines in oncology[J].J Natl Compr Canc Netw,2022,20(10):1139-1167.
[15]中华人民共和国国家卫生健康委员会.中国结直肠癌诊疗规范(2020年版)[J].中华外科杂志,2020,58(08):561-585. National Health Commission of the People's Republic of China.Chinese criteria for colorectal cancer diagnosis and treatment(2020 edition)[J].Chinese Journal of Surgery,2020,58(08):561-585.
[16]PEACOCK O,CHANG GJ.The landmark series:management of lateral lymph nodes in locally advanced rectal cancer[J].Ann Surg Oncol,2020,27(8):2723-2731.
[17]XU HS,ZHAO WY,GUO WB,et al.Prediction model combining clinical and MR data for diagnosis of lymph node metastasis in patients with rectal cancer[J].J Magn Reson Imaging,2021,53(3):874-883.
[18]ZHANG H,LI H,LYU J,et al.Specific ACE2 expression in small intestinal enterocytes may cause gastrointestinal symptoms and injury after 2019-nCoV infection[J].Int J Infect Dis,2020,96:19-24.
[19]LING Y,XU S,LIN Y,et al.Persistence and clearance of viral RNA in 2019 novel coronavirus disease rehabilitation patients[J].Chin Med J (Engl),2020,133(9):1039-1043.
[20]HUEPER K,LANG H,HARTLEBEN B,et al.Assessment of liver ischemia reperfusion injury in mice using hepatic T2 mapping: comparison with histopathology[J].J Magn Reson Imaging,2018,48(6):1586-1594.
[21]张利文,方梦捷,臧亚丽,等.影像组学的发展与应用[J].中华放射学杂志,2017,51(1):75-77. ZHANG LW,FANG MJ,ZANG YL,et al.Development and application of imaging omics[J].Chinese Journal of Radiology,2017,51(1):75-77.

Memo

Memo:
-
Last Update: 2024-08-30