T1 Pre- and Post-contrast Delta Histogram Parameters in Predicting the Grade of Meningioma and Their Relationship to Ki-67 Proliferation Index

Xianwang Liu; Tao Han; Yuzhu Wang; Hong Liu; Zhiqiang Zhao; Juan Deng; Caiqiang Xue; Shenglin Li; Qiu Sun; Junlin Zhou

doi:10.1016/j.acra.2024.04.005

T1 Pre- and Post-contrast Delta Histogram Parameters in Predicting the Grade of Meningioma and Their Relationship to Ki-67 Proliferation Index

Acad Radiol. 2024 Apr 22:S1076-6332(24)00212-5. doi: 10.1016/j.acra.2024.04.005. Online ahead of print.

Authors

Xianwang Liu¹, Tao Han¹, Yuzhu Wang², Hong Liu¹, Zhiqiang Zhao³, Juan Deng¹, Caiqiang Xue¹, Shenglin Li¹, Qiu Sun¹, Junlin Zhou⁴

Affiliations

¹ Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China.
² Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Department of Nuclear Medicine, Gansu Provincial Cancer Hospital, Lanzhou, People's Republic of China.
³ Pathology of Department, Lanzhou University Second Hospital, Lanzhou, People's Republic of China.
⁴ Radiology of Department, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou 730030, People's Republic of China; Second Clinical School, Lanzhou University, Lanzhou, People's Republic of China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, People's Republic of China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, People's Republic of China. Electronic address: lzuzhoujl601@163.com.

PMID: 38653597
DOI: 10.1016/j.acra.2024.04.005

Abstract

Rationale and objectives: To explore the feasibility of delta histogram parameters (including absolute delta histogram parameters (AdHP) and relative delta histogram parameters (RdHP)) in predicting the grade of meningioma and to further investigate whether delta histogram parameters correlate with the Ki-67 proliferation index.

Methods: 92 patients with meningioma who underwent MRI examination (including T1-weighted (T1) and contrast-enhanced T1-weighted images (T1C)) were enrolled in this retrospective study. A total of 46 low-grade cases formed the low-grade group (grade 1, LGM), and a total of 46 high-grade cases formed the high-grade group (38 grade 2, 8 grade 3, HGM). Histogram parameters (HP) of T1 and T1C were extracted. Subsequently, morphological MRI features, AdHP (AdHP=T1CHP-T1HP), and RdHP (RdHP=(T1CHP-T1HP)/T1HP) were recorded and compared, respectively. Binary logistic regression analysis was used to obtain combined performance of the significant parameters. Diagnostic performance was identified by ROC. Spearman's correlation coefficients were taken to assess the relationship between delta histogram parameters and the Ki-67 proliferation index.

Results: In morphological MRI features, HGM is more prone to lobulation and necrosis/cystic changes (all p < 0.05). In delta histogram parameters, HGM exhibits higher mean, Perc.01, Perc.25, Perc.50, Perc.75, Perc.99, SD, and variance of AdHP, maximum, mean, Perc.25, Perc.50, Perc.75, and Perc.99 of RdHP, compared to LGM (all p < 0.00357). The optimal predictive performance was obtained by combining morphological MRI features and delta histogram parameters with an AUC of 0.945. Significant correlations were observed between significant delta histogram parameters and the Ki-67 proliferation index (all p < 0.05).

Conclusion: Delta histogram parameter is a promising potential biomarker, which may be helpful in noninvasive predicting the grade and proliferative activity of meningioma.

Keywords: Delta histogram parameters; Grading; Ki-67 proliferation index; Magnetic resonance imaging; Meningioma.