Correlation of post-contrast T1-weighted MRI surface regularity, tumor bulk, and necrotic volume with Ki67 and p53 in glioblastomas

Hasse, Adam; Dapash, Mark; Jeong, Yong Ik; Ansari, Sameer A.; Carroll, Timothy J.; Lesniak, Maciej S.; Ginat, Daniel Thomas

doi:10.1007/s00234-019-02204-1

Cited by 5 publications

(5 citation statements)

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“…These features have been demonstrated to correlate with histopathological grade, molecular biomarkers and prognosis for various tumors, such as oropharyngeal, esophageal and breast cancer (6)(7)(8)(9)(10). For example, our group previously found correlations between tumor morphology and Ki67 and p53 expression in glioblastoma (6). Another study showed success using textural parameters on CT to differentiate histologic subtypes of peripheral bronchogenic carcinoma (11).…”

Section: Original Articlementioning

confidence: 89%

“…These quantitative biomarkers include shape features such as tumor volume and surface regularity as well as voxel-based texture features (5). These features have been demonstrated to correlate with histopathological grade, molecular biomarkers and prognosis for various tumors, such as oropharyngeal, esophageal and breast cancer (6)(7)(8)(9)(10). For example, our group previously found correlations between tumor morphology and Ki67 and p53 expression in glioblastoma (6).…”

Section: Original Articlementioning

confidence: 99%

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Differentiating low and high grade mucoepidermoid carcinoma of the salivary glands using CT radiomics

et al. 2021

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Background: The purpose of this study is to determine if Haralick texture analysis on CT imaging of mucoepidermoid carcinomas (MEC) can differentiate low-grade and high-grade tumors.Methods: A retrospective review of 18 patients with MEC of the salivary glands, corresponding CT imaging and pathology report was performed. Tumors were manually segmented and image analysis was performed to calculate radiomic features. Radiomic features were compared between low-grade and highgrade MEC. A multivariable logistic regression model and receiver operating characteristic analysis was performed.Results: A total of 18 patients (mean age, 51, range 9-83 years, 8 men and 10 women) were included.Nine patients had low-grade pathology and nine patients had high-grade pathology. Of the 18 cases, 7 (39%) occurred in the parotid gland and 11 (61%) occurred in minor salivary glands. No individual feature was significantly different between low-grade and high-grade MEC. A logistic regression model including surface regularity, energy and information measure II of correlation was performed and was able to predict high-grade MEC accurately (sensitivity 89%, specificity 68%). The area under the receiver operating characteristic curve was 0.802.Conclusions: High-grade MEC tend to have a low energy, high correlation texture as well as surface irregularity. Together, these three features may comprise a tumor phenotype that is able to predict highgrade pathology in MECs.

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Section: Original Articlementioning

confidence: 89%

Section: Original Articlementioning

confidence: 99%

Differentiating low and high grade mucoepidermoid carcinoma of the salivary glands using CT radiomics

et al. 2021

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“…Detection of necrosis on MRI scanning is a necessary criterion to include glioblastoma in the differential diagnosis. Hasse et al [26] showed that patients with high Ki-67 values had a higher rate of necrosis on MRI examinations. Hammoud et al [27] found that as the amount of necrosis increased in glioblastomas, the mean life expectancy decreased.…”

Section: Discussionmentioning

confidence: 99%

Correlation of morphologic findings and apparent diffusion coefficient values with Ki-67 proliferation index in patients with glioblastoma

ÖNCÜ¹,

Şerifoğlu

Arslan

et al. 2022

The European Research Journal

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Objectives: Glioblastoma is the most common primary neoplasm of the central nervous system (CNS) and has a very poor prognosis. Ki-67 proliferative index is a value that reflects the mitotic index of the tumor and is associated with poor prognosis. The radiological features of the tumors can predict the course of the disease. The aim of this study is to evaluate the relationship between the morphology and the apparent diffusion coefficient (ADC) values of the tumor with the Ki-67 index on preoperative magnetic resonance imaging (MRI). Methods: Preoperative MRI images of 52 patients with pathological diagnosis of glioblastoma were evaluated retrospectively. A score ranging from 1 to 3 was assigned to each of the morphological features of the tumors (peritumoral edema, necrosis, contrasting pattern, heterogeneity, hemorrhage, mass effect, tumor contour irregularity), and was added up to obtain the total score. In addition, the ADC values of each tumor were measured at the workstation. ADC value and total score of each tumor, and Ki-67 values obtained histopathologically were compared. Results: There was a negative correlation between Ki-67 index of tumors and ADC values (r=-0.895, p = 0.0001). A significant positive correlation was found between the morphological features of the tumors and their total scores (r=0.772, p = 0.0001). A statistically significant negative correlation was found between total score and ADC values (r=-0.780, p = 0.0001). Heterogeneity and necrosis were the features most closely associated with Ki-67. These were followed by mass effect, hemorrhage and contour irregularity, respectively. Conclusions: The morphological findings and ADC values obtained from preoperative MRI are related to the Ki-67 value, and thus can be used to predict prognosis and guide treatment in the early period.

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“…It is controversial that p53 and Ki-67 can independently predict the prognosis of GBM. Studies have shown that p53(+)/Ki-67(+) can predict poor prognosis of glioma patients and is signi cantly correlated with OS in glioma patients [2,5,29]. Accordingly, we combined classify the data sets by the p53 (wild/mutant) and Ki-67 (low/high) expression level.…”

Section: Patient Groupingmentioning

confidence: 99%

Expression of p53 Combined with Ki-67 in IDH-wildtype Glioblastomas: Prediction by Apparent Diffusion Coefficient Values

Zhang

Xue

Qin

et al. 2023

Preprint

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The presence of p53 mutationscombined with high Ki-67 expression can predict poor prognosis and overall survival in IDH-wildtypeglioblastoma patients. This study aims to use magnetic resonance imaging (MRI) features and apparent diffusion coefficient(ADC) values to predict the expression of p53 and Ki-67 in IDH-wildtype glioblastomas to informclinical treatment. We retrospectively collected clinical and imaging data for 103 IDH-wildtype glioblastoma patients in our hospital between June 2021 and February 2023. The datasets were divided into four groups: p53(+)/Ki-67(+), p53(+)/Ki67(-), p53(-)/Ki67(+), and p53(-)/Ki67(-) according to mutant status of p53 and expression level of Ki-67. Six MRI morphological features and four ADC values for the tumor parenchyma were analyzed. In the 103 patients, 21 had p53(-)/Ki-67(-), 12 had p53(+)/Ki-67(-), 28 had p53(-)/Ki-67(+), and 42 had p53(+)/Ki-67(+). Tumor location showed statistically significant differences among the 4 groups (P < 0.05). ADC parameters were negatively correlated with p53 and Ki-67 expression status and could distinguish the co-expression of p53 and Ki-67 (P < 0.05). In distinguishing between the p53(+)/Ki-67(+) and p53(-)/Ki-67(-) groups, when ADCmin was 0.85×10-3 mm2/s, the sensitivity, specificity and accuracy reached their maximum values of 61.90%, 92.90% and 82.54%, respectively. In conclusion, the expression of p53 and Ki-67 in IDH-wildtypeglioblastoma can be evaluated by ADC values. ADC values can be used as a non-invasive quantitative parameter to assist in the clinical diagnosis of IDH-wildtype glioblastoma molecular states.

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Correlation of post-contrast T1-weighted MRI surface regularity, tumor bulk, and necrotic volume with Ki67 and p53 in glioblastomas

Cited by 5 publications

References 15 publications

Differentiating low and high grade mucoepidermoid carcinoma of the salivary glands using CT radiomics

Differentiating low and high grade mucoepidermoid carcinoma of the salivary glands using CT radiomics

Correlation of morphologic findings and apparent diffusion coefficient values with Ki-67 proliferation index in patients with glioblastoma

Expression of p53 Combined with Ki-67 in IDH-wildtype Glioblastomas: Prediction by Apparent Diffusion Coefficient Values

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