Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas

Purpose To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI. Methods We evaluated 24 patients with pituitary adenoma or residual tumor using...

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Veröffentlicht in:Neuroradiology 2024-06, Vol.66 (6), p.937-945
Hauptverfasser: Ishimoto, Yuka, Ide, Satoru, Watanabe, Keita, Oyu, Kazuhiko, Kasai, Sera, Umemura, Yoshihito, Sasaki, Miho, Nagaya, Haruka, Tatsuo, Soichiro, Nozaki, Atsushi, Ikushima, Yoichiro, Wakayama, Tetsuya, Asano, Kenichiro, Saito, Atsushi, Tomiyama, Masahiko, Kakeda, Shingo
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Sprache:eng
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Zusammenfassung:Purpose To evaluate the diagnostic value of T1-weighted 3D fast spin-echo sequence (CUBE) with deep learning-based reconstruction (DLR) for depiction of pituitary adenoma and parasellar regions on contrast-enhanced MRI. Methods We evaluated 24 patients with pituitary adenoma or residual tumor using CUBE with and without DLR, 1-mm slice thickness 2D T1WI (1-mm 2D T1WI) with DLR, and 3D spoiled gradient echo sequence (SPGR) as contrast-enhanced MRI. Depiction scores of pituitary adenoma and parasellar regions were assigned by two neuroradiologists, and contrast-to-noise ratio (CNR) was calculated. Results CUBE with DLR showed significantly higher scores for depicting pituitary adenoma or residual tumor compared to CUBE without DLR, 1-mm 2D T1WI with DLR, and SPGR ( p  
ISSN:0028-3940
1432-1920
DOI:10.1007/s00234-024-03315-0