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Ke X, Cai X, Bian B, Shen Y, Zhou Y, Liu W, Wang X, Shen L, Yang J. Predicting early gastric cancer risk using machine learning: A population-based retrospective study. Digit Health 2024; 10:20552076241240905. [PMID: 38559579 PMCID: PMC10979538 DOI: 10.1177/20552076241240905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/05/2024] [Indexed: 04/04/2024] Open
Abstract
Background Early detection and treatment are crucial for reducing gastrointestinal tumour-related mortality. The diagnostic efficiency of the most commonly used diagnostic markers for gastric cancer (GC) is not very high. A single laboratory test cannot meet the requirements of early screening, and machine learning methods are needed to aid the early diagnosis of GC by combining multiple indicators. Methods Based on the XGBoost algorithm, a new model was developed to distinguish between GC and precancerous lesions in newly admitted patients between 2018 and 2023 using multiple laboratory tests. We evaluated the ability of the prediction score derived from this model to predict early GC. In addition, we investigated the efficacy of the model in correctly screening for GC given negative protein tumour marker results. Results The XHGC20 model constructed using the XGBoost algorithm could distinguish GC from precancerous disease well (area under the receiver operating characteristic curve [AUC] = 0.901), with a sensitivity, specificity and cut-off value of 0.830, 0.806 and 0.265, respectively. The prediction score was very effective in the diagnosis of early GC. When the cut-off value was 0.27, and the AUC was 0.888, the sensitivity and specificity were 0.797 and 0.807, respectively. The model was also effective at evaluating GC given negative conventional markers (AUC = 0.970), with the sensitivity and specificity of 0.941 and 0.906, respectively, which helped to reduce the rate of missed diagnoses. Conclusions The XHGC20 model established by the XGBoost algorithm integrates information from 20 clinical laboratory tests and can aid in the early screening of GC, providing a useful new method for auxiliary laboratory diagnosis.
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Affiliation(s)
- Xing Ke
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyu Cai
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bingxian Bian
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanheng Shen
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yunlan Zhou
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Liu
- Department of Research Collaboration, R&D Center, Beijing Deepwise & League of PHD Technology Co., Ltd, Beijing, China
| | - Xu Wang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lisong Shen
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
| | - Junyao Yang
- Department of Clinical Laboratory, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Faculty of Medical Laboratory Science, College of Health Science and Technology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Institute of Artificial Intelligence Medicine, Shanghai Academy of Experimental Medicine, Shanghai, China
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Alexandre L, Tsilegeridis-Legeris T, Lam S. Clinical and Endoscopic Characteristics Associated With Post-Endoscopy Upper Gastrointestinal Cancers: A Systematic Review and Meta-analysis. Gastroenterology 2022; 162:1123-1135. [PMID: 34958760 DOI: 10.1053/j.gastro.2021.12.270] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 11/27/2021] [Accepted: 12/22/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND & AIMS Ten percent of patients with an upper gastrointestinal cancer will have received an esophagogastroduodenoscopy (EGD) within 3 years before diagnosis, termed post-endoscopy upper gastrointestinal cancers (PEUGIC). We aimed to determine the characteristics of PEUGIC, and compare these with detected cancers. METHODS We searched MEDLINE and Embase from inception for studies comparing the characteristics of PEUGIC and detected upper gastrointestinal cancers, and reported findings at the initial "cancer-negative" endoscopy. We synthesized results using random effects meta-analysis. This review is registered on PROSPERO, CRD42019125780. RESULTS A total of 2696 citations were screened and 25 studies were included, comprising 81,184 UGI cancers, of which 7926 were considered PEUGIC. For PEUGIC assessed within 6 to 36 months of a "cancer-negative" EGD, the mean interval was approximately 17 months. Patients with PEUGIC were less likely to present with dysphagia (odds ratio [OR] 0.37) and weight loss (OR 0.58) and were more likely to present with gastroesophageal reflux (OR 2.64) than detected cancers. PEUGICs were more common in women in Western populations (OR 1.30). PEUGICs were typically smaller at diagnosis and associated with less advanced disease staging compared with detected cancers (OR 2.87 for stage 1 vs 2-4). Most EGDs (>75%) were abnormal preceding diagnosis of PEUGIC. CONCLUSIONS There is a substantial delay in the diagnosis of PEUGIC. They are less likely to present with alarm symptoms than detected cancers. PEUGICs are overall less advanced at diagnosis. Most patients with PEUGIC have abnormalities reported at the preceding "cancer-negative" EGD. The epidemiology of PEUGIC may inform preventive strategy.
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Affiliation(s)
- Leo Alexandre
- Norwich Medical School, University of East Anglia, Norwich, UK; Department of Gastroenterology, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK.
| | | | - Stephen Lam
- Norwich Medical School, University of East Anglia, Norwich, UK; Department of General Surgery, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK
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Gastric Xanthoma Is Related to the Rapid Growth of Gastric Cancer. J Clin Med 2021; 10:jcm10235704. [PMID: 34884406 PMCID: PMC8658188 DOI: 10.3390/jcm10235704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 11/30/2021] [Accepted: 12/03/2021] [Indexed: 12/21/2022] Open
Abstract
Early detection of gastric cancer is important. However, rapid growth of gastric cancers that cannot be resected endoscopically occurs even with periodic check-ups. Accordingly, we assessed factors associated with the speed of gastric cancer growth by examining historical endoscopic images. A total of 1996 gastric cancer cases were screened, and characteristics of lesions with slow and rapid growth were assessed. A total of 114 lesions from 114 patients were included in the assessment. Sixty slow-growing and fifty-four rapidly growing gastric cancers were compared. Female sex and incidence of lesions in the lower part of the stomach were significantly less frequent in the rapid-growth group than in the slow-growth group. History of endoscopic treatment tended to be more frequent in the rapid-growth group. Age, body mass index, histology, Helicobacter pylori status, and medications did not differ significantly between groups. Xanthoma was significantly related to rapid growth of gastric cancer, and map-like redness tended to be more frequent in the rapid-growth group in univariate analysis. Xanthoma was significantly related to rapid growth of gastric cancer on multivariate analysis. Further studies are warranted to clarify the pathophysiological mechanisms involved in the speed of gastric cancer growth.
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Gastric Cancers Missed at Upper Endoscopy in Central Norway 2007 to 2016-A Population-Based Study. Cancers (Basel) 2021; 13:cancers13225628. [PMID: 34830783 PMCID: PMC8616093 DOI: 10.3390/cancers13225628] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 11/08/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Stomach cancer may be missed during upper endoscopy. We have examined how often this occurs and identified factors associated with missed cancers. Among 730 patients with gastric cancer, 67 (9.2%) were missed during endoscopy 6 to 36 months prior to the cancer diagnosis. Missed cancers were more often located in the upper part of the stomach, of Lauren’s diffuse histologic type and more frequent in patients with previous Billroth II operation. The missed cancers were diagnosed at somewhat earlier stages than the non-missed cancers. In missed cancers, an ulceration was more often found in patients with shorter time interval between the first endoscopy and the endoscopy where the cancer was diagnosed. The factors associated with missed stomach cancers should be kept in mind by doctors performing endoscopies as this may lead to an earlier diagnosis of cancer. Abstract Background: The rates of missed gastric cancers (MGC) at upper endoscopy (UE) has been reported at 5–10% in Western countries. We aimed to calculate the rate of MGC and identify factors associated with MGC. Methods: Retrospective population-based cohort study including 730 patients diagnosed with gastric adenocarcinoma in Central Norway 2007–2016. MGCs were incident gastric adenocarcinomas diagnosed 6–36 months after a previous UE. Factors associated with MGC were examined. Definitely missed (UE 6–12 months prior) and potentially missed (UE 12–36 months prior) MGCs were compared. Results: Sixty-seven (9.2%) of 730 gastric cancers were MGC. MGC were associated with localization (p = 0.009) and more frequent in the corpus, Lauren’s histological type (p = 0.028) and diffuse type more prevalent, and previous Billroth 2-operation (14.9% vs. 4.7%, p = 0.001). MGCs were diagnosed at earlier stages (p = 0.037). An ulceration was more common in patients with definitely missed than potentially MGC (40.9% vs. 17.8%, p = 0.041). Conclusions: MGC accounted for 9.2% of gastric cancers in Central Norway. MGC were associated with localization in the corpus, Lauren´s diffuse type and previous Billroth-2-operation. Intensified follow-up and adequate biopsy sampling of patients with gastric ulcerations could reduce the rate of missed gastric cancers.
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Nikaido M, Miyamoto S, Setoyama T, Yamauchi Y, Seno H. Twelve-year natural history of early esophagogastric junction cancer in an extremely old patient. Geriatr Gerontol Int 2018; 18:1648-1649. [DOI: 10.1111/ggi.13546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 09/06/2018] [Accepted: 09/20/2018] [Indexed: 01/11/2023]
Affiliation(s)
- Mitsuhiro Nikaido
- Department of Gastroenterology and Hepatology, Graduate School of Medicine; Kyoto University; Kyoto Japan
| | - Shin'ichi Miyamoto
- Department of Gastroenterology and Hepatology, Graduate School of Medicine; Kyoto University; Kyoto Japan
| | - Takeshi Setoyama
- Department of Gastroenterology and Hepatology, Graduate School of Medicine; Kyoto University; Kyoto Japan
| | - Yuki Yamauchi
- Department of Gastroenterology and Hepatology, Graduate School of Medicine; Kyoto University; Kyoto Japan
| | - Hiroshi Seno
- Department of Gastroenterology and Hepatology, Graduate School of Medicine; Kyoto University; Kyoto Japan
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