Literature DB >> 32569515

Spectral CT in Lung Cancer: Usefulness of Iodine Concentration for Evaluation of Tumor Angiogenesis and Prognosis.

Qi Li1, Xian Li2, Xing-You Li1, Ji-Wen Huo1, Fa-Jin Lv1, Tian-You Luo1.   

Abstract

OBJECTIVE. The purpose of this study was to investigate the correlation between iodine concentration (IC) derived from spectral CT and angiogenesis and the relationships between IC and clinical-pathologic features associated with lung cancer prognosis. SUBJECTS AND METHODS. Sixty patients with lung cancer were enrolled and underwent spectral CT. The IC, IC difference (ICD), and normalized IC (NIC) of tumors were measured in the arterial phase, venous phase (VP), and delayed phase. The microvessel densities (MVDs) of CD34-stained specimens were evaluated. Correlation analysis was performed for IC and MVD. The relationships between the IC index showing the best correlations with MVD and clinical-pathologic findings of pathologic types, histologic differentiation, tumor size, lymph node status, pathologic TNM stage, and intratumoral necrosis were investigated. RESULTS. The mean (± IQR) MVD of all tumors was 42.00 ± 27.50 vessels per field at ×400 magnification, with two MVD distribution types. The MVD of lung cancer correlated positively with the IC, ICD, and NIC on three-phase contrast-enhanced scanning (r range, 0.581-0.800; all p < 0.001), and the IC in the VP showed the strongest correlation with MVD (r = 0.800; p < 0.001). The correlations between IC and MVD, ICD and MVD, and NIC and MVD varied depending on whether the same scanning phase or same IC index was used. The IC in the VP showed statistically significant differences in the pathologic types of adenocarcinoma and squamous cell carcinoma, histologic differentiation, tumor size, and status of intratumoral necrosis of lung cancer (p < 0.05), but was not associated with nodal metastasis and pathologic TNM stages (p > 0.05). CONCLUSION. IC indexes derived from spectral CT, especially the IC in the VP, were useful indicators for evaluating tumor angiogenesis and prognosis.

Entities:  

Keywords:  angiogenesis; dual-energy CT; lung neoplasms; microvessel density; quantitative imaging

Year:  2020        PMID: 32569515     DOI: 10.2214/AJR.19.22688

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  7 in total

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Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

2.  Differentiating malignant and benign necrotic lung lesions using kVp-switching dual-energy spectral computed tomography.

Authors:  Qi Li; Xiao Fan; Tian-You Luo; Fa-Jin Lv; Xing-Tao Huang
Journal:  BMC Med Imaging       Date:  2021-05-13       Impact factor: 1.930

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Journal:  BMC Med Imaging       Date:  2021-10-30       Impact factor: 1.930

4.  Dual-layer spectral detector computed tomography parameters can improve diagnostic efficiency of lung adenocarcinoma grading.

Authors:  Ronghua Mu; Zhuoni Meng; Zixuan Guo; Xiaoyan Qin; Guangyi Huang; Xuri Yang; Hui Jin; Peng Yang; Xiaodi Zhang; Xiqi Zhu
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5.  Utility of dual-layer spectral-detector CT imaging for predicting pathological tumor stages and histologic grades of colorectal adenocarcinoma.

Authors:  Weicui Chen; Yongsong Ye; Daochun Zhang; Liting Mao; Lei Guo; Hanliang Zhang; Xiaohua Du; Weiwei Deng; Bo Liu; Xian Liu
Journal:  Front Oncol       Date:  2022-10-03       Impact factor: 5.738

6.  Preoperative CT-based deep learning model for predicting overall survival in patients with high-grade serous ovarian cancer.

Authors:  Yawen Zheng; Fang Wang; Wenxia Zhang; Yongmei Li; Bo Yang; Xingsheng Yang; Taotao Dong
Journal:  Front Oncol       Date:  2022-09-09       Impact factor: 5.738

7.  Effect of spectral CT on tumor microvascular angiogenesis in renal cell carcinoma.

Authors:  Bei Zhang; Qiong Wu; Xiang Qiu; Xiaobo Ding; Jin Wang; Jing Li; Pengfei Sun; Xiaohan Hu
Journal:  BMC Cancer       Date:  2021-07-30       Impact factor: 4.430

  7 in total

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