Imaging phenotypes-based quantification of intratumor heterogeneity using APTw for predicting progression in lower grade glioma.

Motivation: In the setting of lower grade glioma follow heterogeneity of prognosis, it is currently necessitating risk stratification. Goal(s): To determine the predictive ability of amide proton transfer-weighted (APTw) imaging phenotypes in lower grade glioma. Approach: The ability of APTw phenotypes to PFS was evaluated using biomarker threshold model, The predictive model was trained on 67%, and tested on the remainder. Results: APTw imaging phenotypes can predict the progression free survival of lower grade gliomas. Impact: The independent and additional prognostic value of imaging phenotypes in APTw suggests that APTw imaging phenotypes can provide a noninvasive characterization of tumor cellular, proliferation and invasiveness to augment personalized prognosis and treatment in patients with lower grade glioma.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/5118
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Imaging phenotypes-based quantification of intratumor heterogeneity using APTw for predicting progression in lower grade glioma.

Xiaochan Ou, Andong Ma, Zhibo Wen, Yaoming Qu
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Radiomics and Machine Learning in Medical Imaging
article

Imaging phenotypes-based quantification of intratumor heterogeneity using APTw for predicting progression in lower grade glioma.

Xiaochan Ou, Andong Ma, Zhibo Wen, Yaoming Qu
article en

Abstract

Motivation: In the setting of lower grade glioma follow heterogeneity of prognosis, it is currently necessitating risk stratification. Goal(s): To determine the predictive ability of amide proton transfer-weighted (APTw) imaging phenotypes in lower grade glioma. Approach: The ability of APTw phenotypes to PFS was evaluated using biomarker threshold model, The predictive model was trained on 67%, and tested on the remainder. Results: APTw imaging phenotypes can predict the progression free survival of lower grade gliomas. Impact: The independent and additional prognostic value of imaging phenotypes in APTw suggests that APTw imaging phenotypes can provide a noninvasive characterization of tumor cellular, proliferation and invasiveness to augment personalized prognosis and treatment in patients with lower grade glioma.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
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Openalex Percentile: Top 65%
Radiomics and Machine Learning in Medical Imaging
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