Can amide proton transfer–weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma?

Hao Yu, Xinrui Wen, Pingping Wu, Yueqin Chen, Tianyu Zou, Xianlong Wang, Shanshan Jiang, Jinyuan Zhou, Zhibo Wen

Research output: Contribution to journalArticle

Abstract

Objectives: To determine the utility of the amide proton transfer–weighted MR imaging in differentiating the WHO grade and predict proliferative activity of meningioma. Methods: Fifty-three patients with WHO grade I meningiomas and 26 patients with WHO grade II meningiomas underwent conventional and APT-weighted sequences on a 3.0 Tesla MR before clinical intervention. The APT-weighted (APTw) parameters in the solid tumor region were obtained and compared between two grades using the t test; the receiver operating characteristic (ROC) curve was used to assess the best parameter for predicting the grade of meningiomas. Pearson’s correlation coefficient was calculated between the APTw max and Ki-67 labeling index in meningiomas. Results: The APTw max and APTw mean values were not significantly different between WHO grade I and grade II meningiomas (p = 0.103 and p = 0.318). The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningiomas than in WHO grade I tumors (p = 0.027 and p = 0.019). But the APTw min was higher and the APTw max-min was lower in microcystic meningiomas than in WHO grade II meningiomas (p = 0.001 and p = 0.006). The APTw min combined with APTw max-min showed the best diagnostic performance in predicting the grade of meningiomas with an AUC of 0.772. The APTw max value was positively correlated with Ki-67 labeling index (r = 0.817, p < 0.001) in meningiomas; the regression equation for the Ki-67 labeling index (%) (Y) and APTw max (%) (X) was Y = 4.9 × X − 12.4 (R 2 = 0.667, p < 0.001). Conclusion: As a noninvasive imaging method, the ability of APTw-MR imaging in differentiating the grade of meningiomas is limited, but the technology can be used to predict the proliferative activity of meningioma. Key Points: • The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningioma than in grade I tumors. • The APTw min value was higher and the APTw max-min value was lower in microcystic meningiomas than in WHO grade II meningiomas. • The APTw max value was positively correlated with meningioma proliferation index.

Original languageEnglish (US)
JournalEuropean Radiology
DOIs
StatePublished - Jan 1 2019

Fingerprint

Meningioma
Amides
Protons
Neoplasms
APT

Keywords

  • Amide proton transfer
  • Cell proliferation
  • Magnetic resonance imaging
  • Meningioma
  • Tumor grading

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Can amide proton transfer–weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma? / Yu, Hao; Wen, Xinrui; Wu, Pingping; Chen, Yueqin; Zou, Tianyu; Wang, Xianlong; Jiang, Shanshan; Zhou, Jinyuan; Wen, Zhibo.

In: European Radiology, 01.01.2019.

Research output: Contribution to journalArticle

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title = "Can amide proton transfer–weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma?",
abstract = "Objectives: To determine the utility of the amide proton transfer–weighted MR imaging in differentiating the WHO grade and predict proliferative activity of meningioma. Methods: Fifty-three patients with WHO grade I meningiomas and 26 patients with WHO grade II meningiomas underwent conventional and APT-weighted sequences on a 3.0 Tesla MR before clinical intervention. The APT-weighted (APTw) parameters in the solid tumor region were obtained and compared between two grades using the t test; the receiver operating characteristic (ROC) curve was used to assess the best parameter for predicting the grade of meningiomas. Pearson’s correlation coefficient was calculated between the APTw max and Ki-67 labeling index in meningiomas. Results: The APTw max and APTw mean values were not significantly different between WHO grade I and grade II meningiomas (p = 0.103 and p = 0.318). The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningiomas than in WHO grade I tumors (p = 0.027 and p = 0.019). But the APTw min was higher and the APTw max-min was lower in microcystic meningiomas than in WHO grade II meningiomas (p = 0.001 and p = 0.006). The APTw min combined with APTw max-min showed the best diagnostic performance in predicting the grade of meningiomas with an AUC of 0.772. The APTw max value was positively correlated with Ki-67 labeling index (r = 0.817, p < 0.001) in meningiomas; the regression equation for the Ki-67 labeling index ({\%}) (Y) and APTw max ({\%}) (X) was Y = 4.9 × X − 12.4 (R 2 = 0.667, p < 0.001). Conclusion: As a noninvasive imaging method, the ability of APTw-MR imaging in differentiating the grade of meningiomas is limited, but the technology can be used to predict the proliferative activity of meningioma. Key Points: • The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningioma than in grade I tumors. • The APTw min value was higher and the APTw max-min value was lower in microcystic meningiomas than in WHO grade II meningiomas. • The APTw max value was positively correlated with meningioma proliferation index.",
keywords = "Amide proton transfer, Cell proliferation, Magnetic resonance imaging, Meningioma, Tumor grading",
author = "Hao Yu and Xinrui Wen and Pingping Wu and Yueqin Chen and Tianyu Zou and Xianlong Wang and Shanshan Jiang and Jinyuan Zhou and Zhibo Wen",
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T1 - Can amide proton transfer–weighted imaging differentiate tumor grade and predict Ki-67 proliferation status of meningioma?

AU - Yu, Hao

AU - Wen, Xinrui

AU - Wu, Pingping

AU - Chen, Yueqin

AU - Zou, Tianyu

AU - Wang, Xianlong

AU - Jiang, Shanshan

AU - Zhou, Jinyuan

AU - Wen, Zhibo

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Objectives: To determine the utility of the amide proton transfer–weighted MR imaging in differentiating the WHO grade and predict proliferative activity of meningioma. Methods: Fifty-three patients with WHO grade I meningiomas and 26 patients with WHO grade II meningiomas underwent conventional and APT-weighted sequences on a 3.0 Tesla MR before clinical intervention. The APT-weighted (APTw) parameters in the solid tumor region were obtained and compared between two grades using the t test; the receiver operating characteristic (ROC) curve was used to assess the best parameter for predicting the grade of meningiomas. Pearson’s correlation coefficient was calculated between the APTw max and Ki-67 labeling index in meningiomas. Results: The APTw max and APTw mean values were not significantly different between WHO grade I and grade II meningiomas (p = 0.103 and p = 0.318). The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningiomas than in WHO grade I tumors (p = 0.027 and p = 0.019). But the APTw min was higher and the APTw max-min was lower in microcystic meningiomas than in WHO grade II meningiomas (p = 0.001 and p = 0.006). The APTw min combined with APTw max-min showed the best diagnostic performance in predicting the grade of meningiomas with an AUC of 0.772. The APTw max value was positively correlated with Ki-67 labeling index (r = 0.817, p < 0.001) in meningiomas; the regression equation for the Ki-67 labeling index (%) (Y) and APTw max (%) (X) was Y = 4.9 × X − 12.4 (R 2 = 0.667, p < 0.001). Conclusion: As a noninvasive imaging method, the ability of APTw-MR imaging in differentiating the grade of meningiomas is limited, but the technology can be used to predict the proliferative activity of meningioma. Key Points: • The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningioma than in grade I tumors. • The APTw min value was higher and the APTw max-min value was lower in microcystic meningiomas than in WHO grade II meningiomas. • The APTw max value was positively correlated with meningioma proliferation index.

AB - Objectives: To determine the utility of the amide proton transfer–weighted MR imaging in differentiating the WHO grade and predict proliferative activity of meningioma. Methods: Fifty-three patients with WHO grade I meningiomas and 26 patients with WHO grade II meningiomas underwent conventional and APT-weighted sequences on a 3.0 Tesla MR before clinical intervention. The APT-weighted (APTw) parameters in the solid tumor region were obtained and compared between two grades using the t test; the receiver operating characteristic (ROC) curve was used to assess the best parameter for predicting the grade of meningiomas. Pearson’s correlation coefficient was calculated between the APTw max and Ki-67 labeling index in meningiomas. Results: The APTw max and APTw mean values were not significantly different between WHO grade I and grade II meningiomas (p = 0.103 and p = 0.318). The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningiomas than in WHO grade I tumors (p = 0.027 and p = 0.019). But the APTw min was higher and the APTw max-min was lower in microcystic meningiomas than in WHO grade II meningiomas (p = 0.001 and p = 0.006). The APTw min combined with APTw max-min showed the best diagnostic performance in predicting the grade of meningiomas with an AUC of 0.772. The APTw max value was positively correlated with Ki-67 labeling index (r = 0.817, p < 0.001) in meningiomas; the regression equation for the Ki-67 labeling index (%) (Y) and APTw max (%) (X) was Y = 4.9 × X − 12.4 (R 2 = 0.667, p < 0.001). Conclusion: As a noninvasive imaging method, the ability of APTw-MR imaging in differentiating the grade of meningiomas is limited, but the technology can be used to predict the proliferative activity of meningioma. Key Points: • The APTw min value was higher and the APTw max-min value was lower in WHO grade II meningioma than in grade I tumors. • The APTw min value was higher and the APTw max-min value was lower in microcystic meningiomas than in WHO grade II meningiomas. • The APTw max value was positively correlated with meningioma proliferation index.

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KW - Cell proliferation

KW - Magnetic resonance imaging

KW - Meningioma

KW - Tumor grading

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