Predicting the Recurrence of Gastric Cancer Using the Textural Features of Perigastric Adipose Tissue on [18F]FDG PET/CT

Ahn, Hyein; Song, Geum Jong; Jang, Si‐Hyong; Son, Myoung Won; Lee, Hyun Ju; Lee, Moon Soo; Lee, Jihye; Oh, Mee‐Hye; Jeong, Geum Cheol; Yun, Jong Hyuk; Lee, Sang Mi; Lee, Jeong Won

doi:10.3390/ijms231911985

Cited by 4 publications

(7 citation statements)

References 44 publications

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“…Numerous studies have demonstrated that a positive prognosis for gastric cancer is related to high expression of TILs (CD4, CD8) [35,48]We find that the derived parameters of gray level co-occurrence matrix (GLCM) play an important role. GLCM played an important role in predicting CD8 + TIL density, which is consistent with previous reports that radiomics metrics of GLCM were dominant in models predicting CD8 + TIL density in renal clear cells [49]. This study also found a close relationship between the radiomics parameters of GLCM and CD4 + TILs.…”

Section: Discussionsupporting

confidence: 91%

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: Discussionsupporting

confidence: 91%

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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“…This inflammatory process in adipose tissue has been shown to be significantly correlated with CT attenuation and the FDG uptake of adipose tissue in previous studies [15,16,22]. A non-human primate biopsy study demonstrated that increased VAT HU was related to increased extracellular matrix fibrosis and a decreased size of adipocytes in VAT, which is consistent with the findings of inflamed adipose tissue near the cancerinvasive front [22].…”

Section: Discussionsupporting

confidence: 76%

“…Therefore, two imaging parameters, mean computed tomography (CT) attenuation on unenhanced CT images and mean 2-deoxy-2-[ 18 F]fluoro-D-glucose (FDG) uptake on positron emission tomography (PET) images, have been proposed to estimate qualitative changes in adipose tissue in imaging studies [12][13][14]. In previous studies, these two imaging parameters measured from SAT and VAT were shown to be correlated with the degree of inflammatory changes in adipose tissue, as well as significantly associated with survival in patients with diverse malignant diseases, including gastric cancer, hepatocellular carcinoma, and colorectal cancer [12,[14][15][16][17]. Considering the significant relationship that has been shown to exist between adiposity and the prognosis of cholangiocarcinoma, imaging parameters customized for the qualitative features of adipose tissue could also have significant clinical value for predicting the prognosis of cholangiocarcinoma.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Impact of Visceral Adipose Tissue Imaging Parameters in Patients with Cholangiocarcinoma after Surgical Resection

Lee,

Yoo,

Hong

et al. 2024

IJMS

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Visceral adiposity is known to be related to poor prognosis in patients with cholangiocarcinoma; however, the prognostic significance of the qualitative features of adipose tissue in cholangiocarcinoma has yet to be well defined. This study investigated the prognostic impact of adipose tissue imaging parameters reflecting the quantity and qualitative characteristics of subcutaneous (SAT) and visceral (VAT) adipose tissue on recurrence-free survival (RFS) and overall survival (OS) in 94 patients undergoing resection of cholangiocarcinoma. The area, mean computed tomography (CT) attenuation, and mean 2-deoxy-2-[18F]fluoro-D-glucose (FDG) uptake of SAT and VAT on positron emission tomography (PET)/CT for staging work-up were measured, and the relationship of these adipose tissue imaging parameters with clinicopathological factors and survival was assessed. TNM stage, histologic grade, lymphovascular invasion, and the size of cholangiocarcinoma showed positive correlations with adipose tissue imaging parameters. Multivariate survival analysis demonstrated that the visceral-to-subcutaneous adipose tissue area ratio (VSR) (p = 0.024; hazard ratio, 1.718) and mean FDG uptake of VAT (p = 0.033; hazard ratio, 9.781) were significant predictors for RFS, but all of the adipose tissue imaging parameters failed to show statistical significance for predicting OS. In addition to visceral adiposity, FDG uptake of VAT might be a promising prognostic parameter for predicting RFS in patients with cholangiocarcinoma.

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“…The four SUV intensity histogram parameters, kurtosis, skewness, entropy, and uniformity, represent the shape, asymmetry, randomness, and homogeneity of the SUV distribution in the SUV intensity histogram [ 20 ]. A lesion that shows high entropy and low uniformity in the histogram is considered to have increased metabolic heterogeneity [ 20 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study

Lee,

Ahn,

Yoo

et al. 2024

Cancer Imaging

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Background Imaging features of colorectal cancers on 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography/computed tomography (PET/CT) have been considered to be affected by tumor characteristics and tumor immune microenvironment. However, the relationship between PET/CT imaging features and immune reactions in tumor tissue has not yet been fully evaluated. This study investigated the association of FDG PET/CT imaging features in the tumor, bone marrow, and spleen with immunohistochemical results of cancer tissue and recurrence-free survival (RFS) in patients with colorectal cancer. Methods A total of 119 patients with colorectal cancer who underwent FDG PET/CT for staging work-up and received curative surgical resection were retrospectively enrolled. From PET/CT images, 10 first-order imaging features of primary tumors, including intensity of FDG uptake, volumetric metabolic parameters, and metabolic heterogeneity parameters, as well as FDG uptake in the bone marrow and spleen were measured. The degrees of CD4+, CD8+, and CD163 + cell infiltration and interleukin-6 (IL-6) and matrix metalloproteinase-11 (MMP-11) expression were graded through immunohistochemical analysis of surgical specimens. The relationship between FDG PET/CT imaging features and immunohistochemical results was assessed, and prognostic significance of PET/CT imaging features in predicting RFS was evaluated. Results Correlation analysis with immunohistochemistry findings showed that the degrees of CD4 + and CD163 + cell infiltration and IL-6 and MMP-11 expression were correlated with cancer imaging features on PET/CT. Patients with enhanced inflammatory response in cancer tissue demonstrated increased FDG uptake, volumetric metabolic parameters, and metabolic heterogeneity. FDG uptake in the bone marrow and spleen was positively correlated with the degree of CD163 + cell infiltration and IL-6 expression, respectively. In multivariate survival analysis, the coefficient of variation of FDG uptake in the tumor (p = 0.019; hazard ratio, 0.484 for 0.10 increase) and spleen-to-liver uptake ratio (p = 0.020; hazard ratio, 24.901 for 1.0 increase) were significant independent predictors of RFS. Conclusions The metabolic heterogeneity of tumors and FDG uptake in the spleen were correlated with tumor immune microenvironment and showed prognostic significance in predicting RFS in patients with colorectal cancer.

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Predicting the Recurrence of Gastric Cancer Using the Textural Features of Perigastric Adipose Tissue on [18F]FDG PET/CT

Cited by 4 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

Prognostic Impact of Visceral Adipose Tissue Imaging Parameters in Patients with Cholangiocarcinoma after Surgical Resection

Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study

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