scholarly journals The Relationship Between The Apparent Diffusion Coefficient and The Ki-67 Proliferation Index in Intracranial Solitary Fibrous Tumor/Hemangiopericytoma

2021 ◽  
Author(s):  
Shenglin Li ◽  
Qing Zhou ◽  
Peng Zhang ◽  
Shize Ma ◽  
Caiqiang Xue ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Solitary Fibrous Tumor ◽  
Proliferation Index ◽  
Ki 67 ◽  
Solitary Fibrous Tumors ◽  
Average Maximum ◽  
Apparent Diffusion ◽  
Grade Ii ◽  
Fibrous Tumor

Abstract Objiective: This study evaluated the value of the apparent diffusion coefficient (ADC) in distinguishing grade II and III intracranial solitary fibrous tumors /hemangiopericytomas and explored the correlation between ADC and Ki-67. Methods The preoperative MRIs of 37 patients treated for solitary fibrous tumor/hemangiopericytoma (grade II, n = 15 and grade III, n = 22) in our hospital from 2011 to October 2020 were retrospectively analyzed. We compared the difference between the minimum, average, maximum, and relative ADCs based on tumor grade and examined the correlation between ADC and Ki-67. Receiver operating characteristic curve analysis was used to analyze the diagnostic efficiency of the ADC. Results There were significant differences in the average, minimum, and relative ADCs between grade II and III patients. The optimal cutoff value for the relative ADC value to differentiate grade II and III tumors was 0.998, which yielded an area under the curve of 0.879. The Ki-67 proliferation indexes of grade II and III tumors were significantly different, and the average (r = -0.427), minimum (r = -0.356), and relative (r = -0.529) ADCs were significantly negatively correlated with the Ki-67 proliferation index. Conclusions ADC can be used to differentiate grade II and III intracranial solitary fibrous tumors/hemangiopericytomas. Our results can be used to formulate a personalized surgical treatment plan before surgery.

Correlation of Apparent Diffusion Coefficient With Ki-67 Proliferation Index in Grading Meningioma

2014 ◽  
Vol 202 (6) ◽  
pp. 1303-1308 ◽  
Author(s):  
Yi Tang ◽  
Sathish K. Dundamadappa ◽  
Senthur Thangasamy ◽  
Thomas Flood ◽  
Richard Moser ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Proliferation Index ◽  
Ki 67 ◽  
Apparent Diffusion

Diagnostic role of apparent diffusion coefficient combined with intratumoral susceptibility signals in differentiating high-grade gliomas from brain metastases

2020 ◽  
pp. 197140092098016
Author(s):  
Mustafa Bozdağ ◽  
Ali Er ◽  
Akın Çinkooğlu ◽  
Sümeyye Ekmekçi
Keyword(s):  
Diffusion Coefficient ◽  
Brain Metastases ◽  
Apparent Diffusion Coefficient ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Proliferation Index ◽  
High Grade ◽  
Ki 67 ◽  
Apparent Diffusion ◽  
High Grade Gliomas

Objective The aim of this study was to assess whether tumoral and peritumoral apparent diffusion coefficient values and intratumoral susceptibility signals on susceptibility-weighted imaging could distinguish between high-grade gliomas and brain metastases, and to investigate their associations with the Ki-67 proliferation index. Materials and methods Fifty-seven patients with pathologically confirmed diagnoses of either high-grade glioma or brain metastasis were enrolled in this study (23 with high-grade gliomas and 34 with brain metastases). The minimum and mean apparent diffusion coefficients in the enhancing tumoral region (ADCmin and ADCmean) and the minimum apparent diffusion coefficient in the peritumoral region (ADCedema) were measured from apparent diffusion coefficient maps, and intratumoral susceptibility signal grades acquired by susceptibility-weighted imaging were calculated. Ki-67 proliferation index values were obtained from the hospital database. These parameters were evaluated using the Mann-Whitney U test, independent-sample t-test, Spearman correlation analysis, receiver operating characteristic curve, and logistic regression analyses. Results ADCmean, ADCmin values, and intratumoral susceptibility signal grades in brain metastases were significantly lower than those in high-grade gliomas (all p < 0.05). Ki-67 proliferation index values showed significant correlations with ADCmean, ADCmin, and intratumoral susceptibility signal grade in brain metastases (all p < 0.05), but no correlation was found in high-grade gliomas (all p > 0.05). According to receiver operating characteristic curve analysis, ADCmean achieved the highest diagnostic performance for discriminating high-grade gliomas from brain metastases. Furthermore, the combination of tumoral apparent diffusion coefficient parameters with intratumoral susceptibility signal grade provided a higher area under the curve than univariate parameters. Conclusion The combination of tumoral apparent diffusion coefficient with intratumoral susceptibility signal grade can offer better diagnostic performances for differential diagnosis. Apparent diffusion coefficient and intratumoral susceptibility signal may reflect cellular proliferative activity in brain metastases, but not in high-grade gliomas.

scholarly journals Value of Apparent Diffusion Coefficient for Assessing Preoperative T Staging of Low Rectal Cancer and Whether This Is Correlated With Ki-67 Expression

2020 ◽  
Vol 71 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Weiqun Ao ◽  
Xiangdong Bao ◽  
Guoqun Mao ◽  
Guangzhao Yang ◽  
Jian Wang ◽  
...  
Keyword(s):  
Rectal Cancer ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Low Rectal Cancer ◽  
Biological Behavior ◽  
Proliferation Index ◽  
Ki 67 ◽  
Adc Value ◽  
Apparent Diffusion ◽  
Adc Values

Purpose: To explore the value of the apparent diffusion coefficient (ADC) in assessing preoperative T staging of low rectal cancer and the correlation between ADC value and Ki-67 expression. Methods: Data on 77 patients with a proven pathology of low rectal cancer were retrospectively analyzed. All patients underwent a magnetic resonance imaging scan 1 week prior to operation, and the mean ADC value was measured. All tumors were fully removed, and pathologic staging was determined. The Ki-67 expression was determined using immunohistochemical methods in all patients. The correlation between Ki-67 expression and ADC features was studied. Results: A total of 77 patients with low rectal cancer were included in the study. The pathology type was adenocarcinoma. The numbers of patients with pathological stages T1, T2, T3, and T4 were 9, 23, 32, and 13, respectively. The ADC value of all tumors ranged from 0.60 to 1.20 mm2/s. The average Ki-67 proliferation index was 55.3% ± 20.2%. A significant difference was observed between the preoperative ADC value and pathological T staging of low rectal cancer ( P < .01). The more advanced the T stage, the lower the detected ADC values were. A negative correlation was noted between the preoperative ADC value and Ki-67 proliferation index of rectal cancer ( r = −0.71, P < .01). When the Ki-67 proliferation index increased, lower ADC values were detected. Conclusion: The ADC values can provide useful information on preoperative tumor staging and may facilitate evaluation of the biological behavior of low rectal cancer. The ADC values should be considered a sensitive image biomarker of rectal cancer.

scholarly journals Relation of apparent diffusion coefficient with Ki-67 proliferation index in meningiomas

2016 ◽  
Vol 89 (1057) ◽  
pp. 20140842 ◽  
Author(s):  
Ozdil Baskan ◽  
Gokalp Silav ◽  
Fatih Han Bolukbasi ◽  
Ozlem Canoz ◽  
Serdar Geyik ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Proliferation Index ◽  
Ki 67 ◽  
Apparent Diffusion

scholarly journals The Correlation Between Apparent Diffusion Coefficient (ADC) and Relative Cerebral Blood Volume (rCBV) with Ki-67 Expression in Central Nervous System Lymphoma

2020 ◽  
Vol 13 (12) ◽  
Author(s):  
Nguyen Duy Hung ◽  
Nguyen Minh Duc ◽  
Ta Hong Nhung ◽  
Le Thanh Dung ◽  
Bui Van Giang ◽  
...  
Keyword(s):  
Central Nervous System ◽  
Nervous System ◽  
Diffusion Coefficient ◽  
Apparent Diffusion Coefficient ◽  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Proliferation Index ◽  
Cns Lymphoma ◽  
Ki 67 ◽  
Apparent Diffusion

Background: Central nervous system (CNS) lymphoma presents as the dense infiltration of tumor cells in the perivascular space and blood-brain barrier disruption, on histopathological examination. The Ki-67 expression has been significantly correlated with tumor proliferation and is considered to be a prognostic factor. Objectives: This study aimed at analyzing the correlations among the apparent diffusion coefficient (ADC), the relative cerebral blood volume (rCBV), and the Ki-67 proliferation index in CNS lymphoma. Methods: From August 2019 to March 2020, 26 patients (14 men and 12 women) who underwent biopsy or surgery and were histologically confirmed as CNS lymphoma were included in this retrospective study. Diffusion and perfusion acquisitions were performed in 26 and 10 examinations, respectively. The Ki-67 proliferation index was available for all cases. Results: The mean tADC, rADC, and rCBV values were 0.61 ± 0.12 × 10-3 mm2/s, 0.73 ± 0.14, and 1.1 ± 0.32, respectively. Negative correlations were identified between both tADC and rADC and the Ki-67 proliferation index (r = -0.656, P < 0.01 and r = -0.540, P < 0.01, respectively). No significant correlations were found between rCBV values and the Ki-67 proliferation index, between rCBV and rADC, or between rCBV and tADC. Conclusions: tADC and rADC values can be used as noninvasive indicators to predict cell proliferation in CNS lymphoma.

scholarly journals Diffusion weighted imaging in high-grade gliomas: A histogram-based analysis of apparent diffusion coefficient profile

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249878
Author(s):  
Georg Gihr ◽  
Diana Horvath-Rizea ◽  
Elena Hekeler ◽  
Oliver Ganslandt ◽  
Hans Henkes ◽  
...  
Keyword(s):  
Diffusion Coefficient ◽  
Standard Deviation ◽  
Apparent Diffusion Coefficient ◽  
Anaplastic Astrocytoma ◽  
Methylation Status ◽  
Proliferation Index ◽  
High Grade ◽  
Ki 67 ◽  
Significant Difference ◽  
Apparent Diffusion

Purpose Glioblastoma and anaplastic astrocytoma represent the most commonly encountered high-grade-glioma (HGG) in adults. Although both neoplasms are very distinct entities in context of epidemiology, clinical course and prognosis, their appearance in conventional magnetic resonance imaging (MRI) is very similar. In search for additional information aiding the distinction of potentially confusable neoplasms, histogram analysis of apparent diffusion coefficient (ADC) maps recently proved to be auxiliary in a number of entities. Therefore, our present exploratory retrospective study investigated whether ADC histogram profile parameters differ significantly between anaplastic astrocytoma and glioblastoma, reflect the proliferation index Ki-67, or are associated with the prognostic relevant MGMT (methylguanine-DNA methyl-transferase) promotor methylation status. Methods Pre-surgical ADC volumes of 56 HGG patients were analyzed by histogram-profiling. Association between extracted histogram parameters and neuropathology including WHO-grade, Ki-67 expression and MGMT promotor methylation status was investigated due to comparative and correlative statistics. Results Grade IV gliomas were more heterogeneous than grade III tumors. More specifically, ADCmin and the lowest percentile ADCp10 were significantly lower, whereas ADCmax, ADC standard deviation and Skewness were significantly higher in the glioblastoma group. ADCmin, ADCmax, ADC standard deviation, Kurtosis and Entropy of ADC histogram were significantly correlated with Ki-67 expression. No significant difference could be revealed by comparison of ADC histogram parameters between MGMT promotor methylated and unmethylated HGG. Conclusions ADC histogram parameters differ significantly between glioblastoma and anaplastic astrocytoma and show distinct associations with the proliferative activity in both HGG. Our results suggest ADC histogram profiling as promising biomarker for differentiation of both, however, further studies with prospective multicenter design are wanted to confirm and further elaborate this hypothesis.

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