Author

Long-Jiang Zhang

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Open access Oct 2026

Optimization of PET acquisition time for thoracic lesions in 18F-FDG PET/MRI: a retrospective analysis

This study aimed to define the minimum positron emission tomography (PET) acquisition time for chest PET/magnetic resonance imaging (MRI), providing image quality and lesion detectability comparable to a 20-min reference. In this retrospective study, list-mode data from 101 patients undergoing chest 18F-fluorodeoxygluc...

Hai-Feng Gu, Yue Jiang, Jun Cai et al. · European Radiology Experimen... · 0 citations

Open access Oct 2026

MRI-Based 2.5D Multi-Instance Deep Learning for Differentiating Pathological Subtypes of Brain Metastases From Lung Cancer.

BACKGROUND Distinct treatment strategies for small-cell lung cancer (SCLC) and non-small-cell lung cancer (NSCLC) brain metastases require accurate noninvasive subtyping. PURPOSE To develop and externally validate a biparametric MRI-based 2.5D multi-instance learning (MIL) deep learning (DL) model for discriminating...

Jin-Ling Zhu, Cai-Rui Liu, Li Zou et al. · Journal of Magnetic Resonanc... · 0 citations

#small language model Open access Nov 2026

Multimodal Transformer Integrating CT and Pathology for Postoperative Risk Stratification in Stage I Non-Small Cell Lung Cancer.

The DLRTransformer improved postoperative risk stratification compared with guideline-based risk stratification and identified patients with stage I NSCLC who benefited from adjuvant therapy.

Li-Ying Wang, Yu Zong, Xin-Yu Li et al. · Radiology: Imaging Cancer · 0 citations