Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas
BACKGROUND: Meningiomas are the most frequently diagnosed intracranial masses, oftentimes requiring surgery. Especially procedure-related morbidity can be substantial, particularly in elderly patients. Hence, reliable imaging modalities enabling pretherapeutic prediction of tumor grade, growth kinet...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018-08-01
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| Series: | Translational Oncology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1936523318301190 |
| _version_ | 1818153963802853376 |
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| author | Georg Alexander Gihr Diana Horvath-Rizea Patricia Kohlhof-Meinecke Oliver Ganslandt Hans Henkes Cindy Richter Karl-Titus Hoffmann Alexey Surov Stefan Schob |
| author_facet | Georg Alexander Gihr Diana Horvath-Rizea Patricia Kohlhof-Meinecke Oliver Ganslandt Hans Henkes Cindy Richter Karl-Titus Hoffmann Alexey Surov Stefan Schob |
| author_sort | Georg Alexander Gihr |
| collection | DOAJ |
| description | BACKGROUND: Meningiomas are the most frequently diagnosed intracranial masses, oftentimes requiring surgery. Especially procedure-related morbidity can be substantial, particularly in elderly patients. Hence, reliable imaging modalities enabling pretherapeutic prediction of tumor grade, growth kinetic, realistic prognosis, and—as a consequence—necessity of surgery are of great value. In this context, a promising diagnostic approach is advanced analysis of magnetic resonance imaging data. Therefore, our study investigated whether histogram profiling of routinely acquired postcontrast T1-weighted images is capable of separating low-grade from high-grade lesions and whether histogram parameters reflect Ki-67 expression in meningiomas. MATERIAL AND METHODS: Pretreatment T1-weighted postcontrast volumes of 44 meningioma patients were used for signal intensity histogram profiling. WHO grade, tumor volume, and Ki-67 expression were evaluated. Comparative and correlative statistics investigating the association between histogram profile parameters and neuropathology were performed. RESULTS: None of the investigated histogram parameters revealed significant differences between low-grade and high-grade meningiomas. However, significant correlations were identified between Ki-67 and the histogram parameters skewness and entropy as well as between entropy and tumor volume. CONCLUSIONS: Contrary to previously reported findings, pretherapeutic postcontrast T1-weighted images can be used to predict growth kinetics in meningiomas if whole tumor histogram analysis is employed. However, no differences between distinct WHO grades were identifiable in out cohort. As a consequence, histogram analysis of postcontrast T1-weighted images is a promising approach to obtain quantitative in vivo biomarkers reflecting the proliferative potential in meningiomas. |
| first_indexed | 2024-12-11T14:18:58Z |
| format | Article |
| id | doaj.art-4b43ed4a924b4e59a989e310d11250ea |
| institution | Directory Open Access Journal |
| issn | 1936-5233 |
| language | English |
| last_indexed | 2024-12-11T14:18:58Z |
| publishDate | 2018-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Translational Oncology |
| spelling | doaj.art-4b43ed4a924b4e59a989e310d11250ea2022-12-22T01:03:00ZengElsevierTranslational Oncology1936-52332018-08-01114957961Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in MeningiomasGeorg Alexander Gihr0Diana Horvath-Rizea1Patricia Kohlhof-Meinecke2Oliver Ganslandt3Hans Henkes4Cindy Richter5Karl-Titus Hoffmann6Alexey Surov7Stefan Schob8Katharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, Germany; Address all correspondence to: Georg Alexander Gihr, Katharinenhospital Stuttgart, Kriegsbergstraße 60, 70174 Stuttgart, Germany.Katharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, GermanyKatharinenhospital Stuttgart, Department for Pathology, Stuttgart, GermanyKatharinenhospital Stuttgart, Neurosurgical Clinic, Stuttgart, GermanyKatharinenhospital Stuttgart, Clinic for Neuroradiology, Stuttgart, GermanyUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, GermanyUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, GermanyUniversity Hospital Leipzig, Clinic for Diagnostic and Interventional Radiology, Leipzig, GermanyUniversity Hospital Leipzig, Department for Neuroradiology, Leipzig, GermanyBACKGROUND: Meningiomas are the most frequently diagnosed intracranial masses, oftentimes requiring surgery. Especially procedure-related morbidity can be substantial, particularly in elderly patients. Hence, reliable imaging modalities enabling pretherapeutic prediction of tumor grade, growth kinetic, realistic prognosis, and—as a consequence—necessity of surgery are of great value. In this context, a promising diagnostic approach is advanced analysis of magnetic resonance imaging data. Therefore, our study investigated whether histogram profiling of routinely acquired postcontrast T1-weighted images is capable of separating low-grade from high-grade lesions and whether histogram parameters reflect Ki-67 expression in meningiomas. MATERIAL AND METHODS: Pretreatment T1-weighted postcontrast volumes of 44 meningioma patients were used for signal intensity histogram profiling. WHO grade, tumor volume, and Ki-67 expression were evaluated. Comparative and correlative statistics investigating the association between histogram profile parameters and neuropathology were performed. RESULTS: None of the investigated histogram parameters revealed significant differences between low-grade and high-grade meningiomas. However, significant correlations were identified between Ki-67 and the histogram parameters skewness and entropy as well as between entropy and tumor volume. CONCLUSIONS: Contrary to previously reported findings, pretherapeutic postcontrast T1-weighted images can be used to predict growth kinetics in meningiomas if whole tumor histogram analysis is employed. However, no differences between distinct WHO grades were identifiable in out cohort. As a consequence, histogram analysis of postcontrast T1-weighted images is a promising approach to obtain quantitative in vivo biomarkers reflecting the proliferative potential in meningiomas.http://www.sciencedirect.com/science/article/pii/S1936523318301190 |
| spellingShingle | Georg Alexander Gihr Diana Horvath-Rizea Patricia Kohlhof-Meinecke Oliver Ganslandt Hans Henkes Cindy Richter Karl-Titus Hoffmann Alexey Surov Stefan Schob Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas Translational Oncology |
| title | Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas |
| title_full | Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas |
| title_fullStr | Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas |
| title_full_unstemmed | Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas |
| title_short | Histogram Profiling of Postcontrast T1-Weighted MRI Gives Valuable Insights into Tumor Biology and Enables Prediction of Growth Kinetics and Prognosis in Meningiomas |
| title_sort | histogram profiling of postcontrast t1 weighted mri gives valuable insights into tumor biology and enables prediction of growth kinetics and prognosis in meningiomas |
| url | http://www.sciencedirect.com/science/article/pii/S1936523318301190 |
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