More than meets the eye: 2-[18F]FDG PET-based radiomics predicts lymph node metastasis in colorectal cancer patients to enable precision medicine.
This article discusses the use of radiomics, a method that involves extracting imaging features from radiologic images, to predict lymph node metastasis (LNM) in colorectal cancer (CRC) patients. The study found that radiomics analysis using 2-[18F]FDG PET-based imaging was more effective in predict...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 51; no. 6; pp. 1725 - 1729 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176804790&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176804790 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: May2024 vid: 51 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 176804790 175739793 10.1007/s00259-024-06664-3 176804790 ppf: 1725 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: More than meets the eye: 2-[18F]FDG PET-based radiomics predicts lymph node metastasis in colorectal cancer patients to enable precision medicine. aug: au: Huang, Wenpeng Son, Mai Hong Ha, Le Ngoc Kang, Lei Cai, Weibo affil: https://ror.org/02z1vqm45 Department of Nuclear Medicine, Peking University First Hospital, No.8 Xishiku Str, 100034, Xicheng District, Beijing, China sug: ab: This article discusses the use of radiomics, a method that involves extracting imaging features from radiologic images, to predict lymph node metastasis (LNM) in colorectal cancer (CRC) patients. The study found that radiomics analysis using 2-[18F]FDG PET-based imaging was more effective in predicting LNM compared to traditional CT and PET reports. The study also highlighted the need for standardization in radiomics workflow and the development of automated segmentation tools. While promising, further research and validation in larger clinical trials are needed before radiomics can be integrated into routine clinical practice. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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