Whole-tumor histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for soft tissue sarcoma: correlation with HIF-1alpha expression

Li, Xiangwen; Hu, Yu-Hen; Xie, Yuxue; Lü, Rong; Li, Qing; Tao, Hongyue; Chen, Shuang

doi:10.1007/s00330-022-09296-z

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…Kep represents the transfer rate constant between plasma and extracellular space, and it is a reflection of extravascular interstitial permeability. Previous studies have suggested that Kep may reflect microvessel density characteristics such as vessel area [ 43 ]. A higher K ep value represents an increase in tumor perfusion and vascular permeability, which is attributed to an increased number of nascent tumor vessels [ 44 ].…”

Section: Discussionmentioning

confidence: 99%

Association between radiomics features of DCE-MRI and CD8+ and CD4+ TILs in advanced gastric cancer

Huang¹,

Li²,

Xia³

et al. 2023

Pathol. Oncol. Res.

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Objective: The aim of this investigation was to explore the correlation between the levels of tumor-infiltrating CD8+ and CD4+ T cells and the quantitative pharmacokinetic parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in patients with advanced gastric cancer.Methods: We retrospectively analyzed the data of 103 patients with histopathologically confirmed advanced gastric cancer (AGC). Three pharmacokinetic parameters, Kep, Ktrans, and Ve, and their radiomics characteristics were obtained by Omni Kinetics software. Immunohistochemical staining was used to determine CD4+ and CD8+ TILs. Statistical analysis was subsequently performed to assess the correlation between radiomics characteristics and CD4+ and CD8+ TIL density.Results: All patients included in this study were finally divided into either a CD8+ TILs low-density group (n = 51) (CD8+ TILs < 138) or a high-density group (n = 52) (CD8+ TILs ≥ 138), and a CD4+ TILs low-density group (n = 51) (CD4+ TILs < 87) or a high-density group (n = 52) (CD4+ TILs ≥ 87). ClusterShade and Skewness based on Kep and Skewness based on Ktrans both showed moderate negative correlation with CD8+ TIL levels (r = 0.630–0.349, p < 0.001), with ClusterShade based on Kep having the highest negative correlation (r = −0.630, p < 0.001). Inertia-based Kep showed a moderate positive correlation with the CD4+ TIL level (r = 0.549, p < 0.001), and the Correlation based on Kep showed a moderate negative correlation with the CD4+ TIL level, which also had the highest correlation coefficient (r = −0.616, p < 0.001). The diagnostic efficacy of the above features was assessed by ROC curves. For CD8+ TILs, ClusterShade of Kep had the highest mean area under the curve (AUC) (0.863). For CD4+ TILs, the Correlation of Kep had the highest mean AUC (0.856).Conclusion: The radiomics features of DCE-MRI are associated with the expression of tumor-infiltrating CD8+ and CD4+ T cells in AGC, which have the potential to noninvasively evaluate the expression of CD8+ and CD4+ TILs in AGC patients.

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Section: Discussionmentioning

confidence: 99%

Association between radiomics features of DCE-MRI and CD8+ and CD4+ TILs in advanced gastric cancer

Huang¹,

Li²,

Xia³

et al. 2023

Pathol. Oncol. Res.

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“…To this end, we explore the shallow characteristics of glass artifacts, analyze the relationship between whether the glass surface is weathered or not and each definite class of variables, and predict the chemical composition content of artifacts before weathering based on the statistical pattern of each chemical composition content and weathering point data [4][5][6]. It is possible to understand the factors related to weathering on the surface of glass artifacts, and to analyze the relationship between each category of variables in order to reach a preliminary understanding of the characteristics of glass artifacts [7].…”

Section: Introductionmentioning

confidence: 99%

Analysis of glass artifacts based on hierarchical clustering and regression models

Yun¹,

Chen²,

Bi³

2023

HSET

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Glass is a valuable evidence of the early friendly trade between China and the Western countries. In this study, the rationality and sensitivity of the developed model were first evaluated by analyzing the definitive and quantitative data of each type of glass artifacts and establishing a model to classify the glass artifact categories into subcategories, as well as categorizing unknown types of glass. Considering the discrete and discontinuous nature of the data, the chi-square test was chosen to investigate the correlation between glass type, decoration and color and surface weathering. Secondly, descriptive statistics of high potassium and lead-barium glass artifacts before and after weathering were conducted to obtain statistical patterns about the chemical composition content, and then the chemical composition content of glass artifacts before weathering was predicted based on the mean rate of change of the chemical composition content of high potassium and lead-barium glass before and after weathering, respectively. Finally, this study further explored the relationship between glass artifacts and the content of each chemical composition using Spearman's correlation coefficient to derive the basis for the classification of glass types, based on the hierarchical clustering method to classify the subclasses of high potassium glass and lead-barium glass with and without weathering, respectively, and used the elbow rule to derive the most appropriate number of subclasses for the above four types of glass, which endowed the model with rationality.

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Impact of diffusion-weighted imaging on agreement between radiologists and non-radiologist in musculoskeletal tumor imaging using magnetic resonance

Lodeiro,

Bokwa-Dąbrowska,

Miron

et al. 2024

European Journal of Radiology Open

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Whole-tumor histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for soft tissue sarcoma: correlation with HIF-1alpha expression

Cited by 6 publications

References 44 publications

Association between radiomics features of DCE-MRI and CD8+ and CD4+ TILs in advanced gastric cancer

Association between radiomics features of DCE-MRI and CD8+ and CD4+ TILs in advanced gastric cancer

Analysis of glass artifacts based on hierarchical clustering and regression models

Impact of diffusion-weighted imaging on agreement between radiologists and non-radiologist in musculoskeletal tumor imaging using magnetic resonance

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