MR radiomics in assessment of consistency of pituitary macroadenoma: can T1-weighted contrast enhanced image improve diagnostic performance of T2-weighted image?

Combining CET1 with T2 improves prediction performance for pituitary macroadenoma consistency. However, the T2 model demonstrates greater stability across different equipment than either the CET1 or combined models.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-09-03
DOI
https://doi.org/10.3389/fonc.2025.1539432
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

MR radiomics in assessment of consistency of pituitary macroadenoma: can T1-weighted contrast enhanced image improve diagnostic performance of T2-weighted image?

Hongchao Yao, Jie Zhang, Hongwei Li, Yang Liu et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

MR radiomics in assessment of consistency of pituitary macroadenoma: can T1-weighted contrast enhanced image improve diagnostic performance of T2-weighted image?

Hongchao Yao, Jie Zhang, Hongwei Li, Yang Liu, Mingxiang Zou
article en

Abstract

Combining CET1 with T2 improves prediction performance for pituitary macroadenoma consistency. However, the T2 model demonstrates greater stability across different equipment than either the CET1 or combined models.

Frontiers in OncologyVol. 15
Mianyang Third People's Hospital (CN)
Openalex Percentile: Top 67%
Radiomics and Machine Learning in Medical Imaging
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