Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.

Journal: Annals of medicine
Published Date: Jul 8, 2025

Abstract

BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with different malignancy levels and prognoses. Their similar imaging features make preoperative differentiation difficult, resulting in high misdiagnosis rates. Thus, accurately distinguishing SFTs from meningiomas preoperatively is vital for surgical planning and treatment strategies.

Authors

  • Lingzhen Wei
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China; School of Clinical Medicine, Jining Medical University, Jining, Shandong, China.
  • Zehong Cao
  • Feng Shi
    Department of Research and Development, Shanghai United Imaging Intelligence, Co., Ltd. Shanghai, China.
  • Fuyan Li
    Department of Radiology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, China.
  • Yi Cui
    Global Station for Quantum Medical Science and Engineering, Global Institution for Collaborative Research and Education (GI-CoRE), Proton Beam Therapy Center, North 14 West 5 Kita-ku, Sapporo, Hokkaido, 060-8648, Japan.
  • Yu Gu
    Microsoft Research, Redmond, WA, USA.
  • Jinming Chen
    Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, Shandong, China.
  • Meilin Li
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China.
  • Jiahao Liu
    School of Artificial Intelligence, Hebei University of Technology, Tianjin, 300130, China.
  • Huaizhen Wang
    Department of Radiology, The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  • Xuechun Wang
    School of Optical and Electronic Information- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.
  • Qingshi Zeng
    Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.

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