Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer-Reference-Cited by-同舟云学术

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Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer

Published:2023-04-28 Issue:5 Volume:128 Page:509-519
ISSN:1826-6983
Container-title:La radiologia medica
language:en
Short-container-title:Radiol med

Author:

Liu Shangqing,Liang Weiqi,Huang Pinyu,Chen Dianjie,He Qinglie,Ning Zhenyuan,Zhang Yu,Xiong Wei,Yu Jiang,Chen Tao^ORCID

Funder

Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Cancer

Natural Science Foundation of Guangdong Province

Guangdong Natural Science Foundation Outstanding Youth Project

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11547-023-01625-6.pdf

Reference31 articles.

1. Sung H, Ferlay J, Siegel RL (2021) Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 71(3):209–249

2. Amin M, Edge S, Greene F (2017) AJCC cancer staging manual. Springer, Berlin

3. Xu YY, Huang BJ, Sun Z, Lu C, Liu YP (2007) Risk factors for lymph node metastasis and evaluation of reasonable surgery for early gastric cancer. World J Gastroenterol 13(38):5133–5138

4. Oliveira C, Pinheiro H, Figueiredo J, Seruca R, Carneiro F (2015) Familial gastric cancer: genetic susceptibility, pathology, and implications for management. Lancet Oncol 16(2):e60-70

5. Roy S, Kanda M, Nomura S et al (2022) Diagnostic efficacy of circular RNAs as noninvasive, liquid biopsy biomarkers for early detection of gastric cancer. Mol Cancer 21(1):42

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1. Predicting tumor invasion depth in gastric cancer: developing and validating multivariate models incorporating preoperative IVIM-DWI parameters and MRI morphological characteristics;European Journal of Medical Research;2024-08-22

2. Development and Validation of a Radiopathomics Model Based on CT Scans and Whole Slide Images (WSI) for Discriminating Between Stage I-II and Stage III Gastric Cancer;2024-08-17

3. Low Absolute Lymphocyte Count Correlates with Lymph Node Metastases and Worse Survival of Patients with Gastric Cancer;Annals of Surgical Oncology;2024-08-01

4. Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer;BMC Cancer;2024-03-22

5. A comprehensive radiopathological nomogram for the prediction of pathological staging in gastric cancer using CT-derived and WSI-based features;Translational Oncology;2024-02

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