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Yingci Li

As seen in: BMC Cancer, Dove Medical Press
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Articles

Correlation of PET/CT maximal standardized uptake values with clinicop

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By Yingci Li, Dongbo Wu, Mohan Tian
| Dove Medical Press
Introduction Non-Hodgkin’s lymphoma (NHL) is the most common hematological malignancy in clinical practice, with numerous biological and clinical heterogeneity subtypes.1 According to the World Health Organization (WHO) and International Agency for Research on Cancer (ICC) classification, it contains many biological and clinical heterogeneous subtypes, mainly divided into B-cell lymphoma and T-cell lymphoma.2,3 Although NHL usually manifests as aggressive spreading disease or rapidly growing...
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Deep learning-based characterization of pathological subtypes in lung invasive adenocarcinoma utilizing 18F-deoxyglucose positron emission tomography imaging | BMC Cancer | Full Text

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By Dongbo Wu, Yingci Li, Mingyan Zhou, Feifei Gong, Jiankun Li
| BMC Cancer Verified
We retrospectively included a cohort of 250 patients who were diagnosed with lung malignancies through whole-body 18F-FDG PET/CT scans at the Department of Positron Emission Tomography/Computed Tomography-Magnetic Resonance Center (PET/CT-MR Center) of Harbin Medical University Cancer Hospital from January 2019 to December 2022. Among them, there were 117 males and 133 females, aged 38 to 83 years, with a median age of 59 years.
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18F-FDG PET/CT Image Deep Learning Predicts Colon Cancer Survival

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By Hong Ru Chen, Mohan Tian, Yingci Li
| ncbi.nlm.nih.gov
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