Predicting chemoradiotherapy response of nasopharyngeal carcinoma using texture features based on intravoxel incoherent motion diffusion-weighted imaging

被引:20
|
作者
Qin, Yuhui [1 ]
Yu, Xiaoping [1 ,4 ]
Hou, Jing [1 ]
Hu, Ying [2 ]
Li, Feiping [1 ]
Wen, Lu [1 ]
Lu, Qiang [1 ]
Fu, Yi [3 ]
Liu, Siye [1 ]
机构
[1] Cent South Univ, Dept Diagnost Radiol, Affiliated Canc Hosp, Xiangya Sch Med, 283 Tongzipo Rd, Changsha 410013, Hunan, Peoples R China
[2] Cent South Univ, Dept Radiotherapy, Affiliated Canc Hosp, Xiangya Sch Med, Changsha, Hunan, Peoples R China
[3] Cent South Univ, Dept Med Serv, Affiliated Canc Hosp, Xiangya Sch Med, Changsha, Hunan, Peoples R China
[4] Hunan Canc Hosp, 283 Tongzipo Rd, Changsha 410013, Hunan, Peoples R China
关键词
chemoradiotherapy; diffusion magnetic resonance imaging; nasopharyngeal neoplasms; radiographic image interpretation; treatment outcome; CONTRAST-ENHANCED MRI; NEOADJUVANT CHEMORADIOTHERAPY; CHEMOTHERAPY RESPONSE; PATHOLOGICAL RESPONSE; HETEROGENEITY; CT; PARAMETERS; MAPS;
D O I
10.1097/MD.0000000000011676
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The aim of the study was to investigative the utility of gray-level co-occurrence matrix (GLCM) texture analysis based on intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) for predicting the early response to chemoradiotherapy for nasopharyngeal carcinoma (NPC).Baseline IVIM-DWI was performed on 81 patients with NPC receiving chemoradiotherapy in a prospective nested case-control study. The patients were categorized into the residue (n=11) and nonresidue (n=70) groups, according to whether there was local residual lesion or not at the end of chemoradiotherapy. The pretreatment tumor volume and the values of IVIM-DWI parameters (apparent diffusion coefficient [ADC], D, D, and f) and GLCM features based on IVIM-DWI were compared between the 2 groups. Receiver operating characteristic (ROC) curves in univariate and multivariate logistic regression analysis were generated to determine significant indicator of treatment response.The nonresidue group had lower tumor volume, ADC, D, Correlat(ADC), Correlat(D), InvDfMom(ADC), InvDfMom(D) and InvDfMom(D) values, together with higher Contrast(D), Contrast(f), SumAverg(ADC), SumAverg(D), and SumAverg(D) values, than the residue group (all P<.05). Based on ROC curve in univariate analysis, the area under the curve (AUC) values for individual GLCM features in the prediction of the treatment response ranged from 0.635 to 0.879, with sensitivities from 54.55% to 100.00% and specificities from 52.86% to 85.71%. Multivariate logistic regression analysis demonstrated D (P=.026), InvDfMom(ADC) (P=.033) and SumAverg(D) (P=.015) as the independent predictors for identifying NPC without residue, with an AUC value of 0.977, a sensitivity of 90.91% and a specificity of 95.71%.Pretreatment GLCM features based on IVIM-DWI, especially on the diffusion-related maps, may have the potential to predict the early response to chemoradiotherapy for NPC.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Diagnosis of hilar cholangiocarcinoma using intravoxel incoherent motion diffusion-weighted magnetic resonance imaging
    Xu, Xin
    ABDOMINAL RADIOLOGY, 2021, 46 (07) : 3159 - 3167
  • [42] Intravoxel incoherent motion (IVIM) in diffusion-weighted imaging (DWI) for Hepatocellular carcinoma: correlation with histologic grade
    Granata, Vincenza
    Fusco, Roberta
    Catalano, Orlando
    Guarino, Benedetta
    Granata, Francesco
    Tatangelo, Fabiana
    Avallone, Antonio
    Piccirillo, Mauro
    Palaia, Raffaele
    Izzo, Francesco
    Petrillo, Antonella
    ONCOTARGET, 2016, 7 (48) : 79343 - 79350
  • [43] MRI-based estimation of liver function by intravoxel incoherent motion diffusion-weighted imaging
    Zhang, Jing
    Guo, Yihao
    Tan, Xiangliang
    Zheng, Zeyu
    He, Mengqi
    Xu, Jun
    Mei, Yingjie
    Zhang, Jiajun
    Zhao, Xixi
    Wang, Chunhong
    Feng, Yanqiu
    Chan, Queenie
    Wu, Yuankui
    Xu, Yikai
    MAGNETIC RESONANCE IMAGING, 2016, 34 (08) : 1220 - 1225
  • [44] Utility of intravoxel incoherent motion diffusion-weighted imaging in differentiating renal cell carcinoma from angiomyolipoma
    Li, Congrui
    Liu, Yan
    Yu, Xiaoping
    Xie, Yu
    Sun, Yan
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2017, 10 (06): : 9306 - 9313
  • [45] Stroke assessment with intravoxel incoherent motion diffusion-weighted MRI
    Suo, Shiteng
    Cao, Mengqiu
    Zhu, Wanqiu
    Li, Lei
    Li, Jun
    Shen, Fei
    Zu, Jinyan
    Zhou, Zien
    Zhuang, Zhiguo
    Qu, Jianxun
    Chen, Zengai
    Xu, Jianrong
    NMR IN BIOMEDICINE, 2016, 29 (03) : 320 - 328
  • [46] Pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging
    Zhou, Mi
    Chen, Mengyuan
    Luo, Mingfang
    Chen, Meining
    Huang, Hongyun
    EUROPEAN RADIOLOGY, 2025, 35 (02) : 979 - 988
  • [47] Intravoxel incoherent motion diffusion-weighted imaging for predicting kidney allograft function decline: comparison with clinical parameters
    Wang, Wei
    Yu, Yuanmeng
    Chen, Jinsong
    Zhang, Longjiang
    Li, Xue
    INSIGHTS INTO IMAGING, 2024, 15 (01)
  • [48] Intravoxel incoherent motion diffusion-weighted imaging for predicting kidney allograft function decline: comparison with clinical parameters
    Wei Wang
    Yuanmeng Yu
    Jinsong Chen
    Longjiang Zhang
    Xue Li
    Insights into Imaging, 15
  • [49] Esophageal carcinoma: Intravoxel incoherent motion diffusion-weighted MRI parameters and histopathological correlations
    Zhu, Shaocheng
    Wei, Yi
    Gao, Feifei
    Li, Linlin
    Liu, Yuehua
    Huang, Zixing
    Tang, Hehan
    Zheng, Dandan
    Wei, Xiaocheng
    Sun, Tingyi
    Song, Bin
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2019, 49 (01) : 253 - 261
  • [50] Evaluation of Hepatic Tumors Using Intravoxel Incoherent Motion Diffusion-Weighted MRI
    Wang, Mingjie
    Li, Xudan
    Zou, Jianxun
    Chen, Xugao
    Chen, Shuyan
    Xiang, Wanqing
    MEDICAL SCIENCE MONITOR, 2016, 22 : 702 - 709