Differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from atypical meningioma using apparent diffusion coefficient histogram analysis

Liu, Xianwang; Deng, Juan; Sun, Qing; Xue, Caiqiang; Li, Shenglin; Qin, Zhou; Huang, Xiaoyu; Luan, Hong; Zhang, Junlin

doi:10.1007/s10143-022-01771-x

Cited by 19 publications

(15 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SFT/HPCs occasionally mimic meningioma but tend to lead to a worse overall prognosis and lower survival rate due to local recurrence and distant, extracranial metastasis [ 2 , 3 ]. The presence of bone erosion, absence of hyperostosis, sunburst flow void, and intratumoral calcification, and differing values of apparent diffusion coefficient have been proposed as radiological findings differentiating between meningiomas and SFT/HPCs [4] , [5] , [6] , [7] , [8] , [9] , [10] . In contrast, meningiomas accompanying bone erosion and SFT/HPCs with calcifications have also been reported [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Are bone erosion and peripheral feeding vessels hallmarks of intracranial solitary fibrous tumor/hemangiopericytoma?

Sugiyama

Tsutsumi

Hashizume

et al. 2022

Radiology Case Reports

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Are bone erosion and peripheral feeding vessels hallmarks of intracranial solitary fibrous tumor/hemangiopericytoma?

Sugiyama

Tsutsumi

Hashizume

et al. 2022

Radiology Case Reports

View full text Add to dashboard Cite

“…The differential diagnosis of SFT via imaging is difficult due to its variable signal intensity on MRI scans (29). Differentiation from meningioma, schwannoma, neurofibroma, metastases and lymphoma was required (30)(31)(32)(33).…”

Section: Discussionmentioning

confidence: 99%

Solitary fibrous tumor of the central nervous system invading and penetrating the skull: A case report

2023

View full text Add to dashboard Cite

Solitary fibrous tumor (SFT) of the central nervous system is a rare spindle cell tumor of mesenchymal origin. The present study reports the case of a 44-year-old male patient with SFT. Magnetic resonance imaging demonstrated that the majority of the intracranial tumors exhibited uneven low signals on T1-weighted imaging (T1WI) and low mixed signals on T2WI, and there was an enhancement on enhanced scanning. Furthermore, the distal part of the left occipital lobe exhibited hypersignals on T1WI and T2WI, and this was significantly enhanced following enhanced scanning. The lower part of the scalp exhibited low signals on T1WI and high signals on T2WI, and there was no notable enhancement following enhanced scanning. Magnetic resonance spectroscopy demonstrated an elevated choline/creatine peak in the solid part of the tumor. Under the microscope, the tumor exhibited characteristic 'staghorn-shaped' blood vessels. As SFT is difficult to differentially diagnose via imaging, immunohistochemical analysis of CD34, vimentin and signal transducer and activator of transcription 6 was performed for the definitive diagnosis of SFT. Of note, surgical resection was the preferred treatment for SFT; however, due to the rarity of the tumor, subsequent adjuvant therapy and prognosis require further investigation.

show abstract

“…ADC histogram analysis obtains certain ADC histogram parameters and traditional ADC values were similar, which could reflect tumor cell density and distribution. Low ADC percentile values correspond to low ADC values and higher cell density; conversely, higher ADC percentile values correspond to high ADC values, lower cell density, and unrestricted diffusion of water molecules (14). Our study showed that the mean, ADCp1, ADCp10, ADCp50, ADCp90, and ADCp99 of AtM were less than those of TrM; ADCp90 and ADCp99 were significantly different between the two groups ( P < 0.05 for all).…”

Section: Discussionmentioning

confidence: 99%

“…A multicenter study of ADC histograms to predict meningioma grade (26) found that WHO grade 2/3 meningiomas showed significantly lower ADC histogram analysis parameters, especially median ADC, compared with WHO grade 1 tumors, similar to the results of this study. Liu et al (14) used ADC histograms to identify solitary fibrous tumor (SFT) and AtM, and mean, ADC1, ADC10, ADC50, and ADC90 of the SFT/hemangiopericytoma (HPC) were greater than those of the AtM group, and significant differences were observed ( P < 0.05). Gihr et al (27) found that the entire ADC profile (p10, p25, p75, p90, mean, median) was significantly lower in high-grade versus low-grade meningiomas.…”

Section: Discussionmentioning

confidence: 99%

“…Apparent diffusion coefficient (ADC) values obtained by diffusion-weighted imaging (DWI) reconstruction can quantitatively reflect cell density and tumor microstructure. ADC is applied widely in the field of brain tumor assessment, including grading and staging, diagnosis, and prognosis or recurrence of brain tumors (14). Compared with ADC values measured alone, ADC histogram analysis more comprehensively evaluates the overall spatial heterogeneity of tumors by generating multiple parameters, which helps to reveal the deeper pathophysiological heterogeneity of tumors and provide guidance for the selection of clinical treatment options.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index

Han,

Liu,

Jing

et al. 2023

Acta Radiol

Self Cite

View full text Add to dashboard Cite

Background Preoperative differentiation of atypical meningioma (AtM) from transitional meningioma (TrM) is critical to clinical treatment. Purpose To investigate the role of apparent diffusion coefficient (ADC) histogram analysis in differentiating AtM from TrM and its correlation with the Ki-67 proliferation index (PI). Methods Clinical, imaging, and pathological data of 78 AtM and 80 TrM were retrospectively collected. Regions of interest (ROIs) were delineated on axial ADC images using MaZda software and histogram parameters (mean, variance, skewness, kurtosis, 1st percentile [ADCp1], 10th percentile [ADCp10], 50th percentile [ADCp50], 90th percentile [ADCp90], and 99th percentile [ADCp99]) were generated. The Mann–Whitney U test was used to compare the differences in histogram parameters between the two groups; receiver operating characteristic (ROC) curves were used to assess diagnostic efficacy in differentiating AtM from TrM preoperatively. The correlation between histogram parameters and Ki-67 PI was analyzed. Results All histogram parameters of AtM were lower than those of TrM, and the variance, skewness, kurtosis, ADCp90, and ADCp99 were significantly different ( P < 0.05). Combined ADC histogram parameters (variance, skewness, kurtosis, ADCp90, and ADCp99) achieved the best diagnostic performance for distinguishing AtM from TrM. Area under the curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 0.800%, 76.25%, 67.95%, 70.15%, 70.93%, and 73.61%, respectively. All histogram parameters were negatively correlated with Ki-67 PI (r = −0.012 to −0.293). Conclusion ADC histogram analysis is a potential tool for non-invasive differentiation of AtM from TrM preoperatively, and ADC histogram parameters were negatively correlated with the Ki-67 PI.

show abstract

Differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from atypical meningioma using apparent diffusion coefficient histogram analysis

Cited by 19 publications

References 29 publications

Are bone erosion and peripheral feeding vessels hallmarks of intracranial solitary fibrous tumor/hemangiopericytoma?

Are bone erosion and peripheral feeding vessels hallmarks of intracranial solitary fibrous tumor/hemangiopericytoma?

Solitary fibrous tumor of the central nervous system invading and penetrating the skull: A case report

ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index

Contact Info

Product

Resources

About