scholarly journals The Value of CT-based Radiomics Nomogram in Differential Diagnosis of Different Histological Types of Gastric Cancer

2021 ◽  
Author(s):  
hao Huang ◽  
fang yi Xu ◽  
Qing Qing Chen ◽  
hong jie Hu ◽  
Fangyu Qi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Treatment Plan ◽  
Carbohydrate Antigen ◽  
Multivariate Logistic Regression ◽  
Surgical Indications ◽  
Decision Curve Analysis ◽  
Carbohydrate Antigen 125 ◽  
Histological Types ◽  
Logistic Regression Method ◽  
Selection Operator

Abstract Purpose: To establish and verify a nomogram based on computed tomography (CT) radiomics analysis to predict the histological types of gastric cancer preoperatively for patients with surgical indications.Methods: A sum of 143 patients with gastric cancer in Sir Run Run Shaw Hospital from January 2019 to December 2020 (differentiated type: 46 cases; undifferentiated type: 97 cases) were included into this retrospective study, and were randomly divided into training (n=99) and test cohort (n=44). The least absolute shrinkage and selection operator(LASSO) was used for feature selection while the multivariate Logistic regression method was used for radiomics model and nomogram building. The area under curve(AUC) was used for performance evaluation in this study.Results: The radiomics model got AUCs of 0.755 (95%CI, 0.650-0.859) and 0.71 (95%CI,0.543-0.875) for histological prediction in the training and test cohorts, respectively. The radiomics nomogram based on radiomics features and Carbohydrate antigen 125 (CA125) achieved an AUC of 0.777 (95%CI:0.679-0.875) in the training cohort with 0.726 (95%CI:0.559-0.893) in the test cohort. The calibration curve of the radiomics nomogram also showed good results. The decision curve analysis(DCA) shows that the radiomics nomogram is clinically practical.Conclusion: The radiomics nomogram established and verified in this study showed good performance for the preoperative histological prediction of gastric cancer, which might contribute to the formulation of a better clinical treatment plan.

scholarly journals Establishment and Evaluation of a Nomogram For Prediction of Peritoneal Metastasis in Gastric Cancer

2021 ◽  
Author(s):  
Jin Zheng ◽  
Weibin Shi
Keyword(s):  
Gastric Cancer ◽  
Cancer Patients ◽  
Peritoneal Metastasis ◽  
External Validation ◽  
Carbohydrate Antigen ◽  
Internal Validation ◽  
Factors Affecting ◽  
Carbohydrate Antigen 125 ◽  
Distant Organ Metastasis ◽  
Gastric Cancer Patients

Abstract Background Peritoneal metastasis is a critical way of metastasis for gastric cancer, patients with which tend to have poor prognosis. Laparoscopy or laparotomy is still major approach to diagnose peritoneal metastasis presently. This study was aimed to explore the factors affecting peritoneal metastasis of gastric cancer and establish a nomogram to predict that preoperatively. Methods 1002 gastric cancer patients who underwent surgery without distant organ metastasis was collected in the study. The nomogram was built with variables selected by univariate logistical regression and LASSO, and evaluated with internal and external validation ROC curve.Results Three factors including carbohydrate antigen 125, carbohydrate antigen 242 and serosal invasion or not of primary tumor were enrolled in the nomogram. The AUC value was0.922 (95%CI 0.897~0.947) in internal validation and 0.934 (95%CI 0.852~1.000) in external validation. Conclusions This study developed a nomogram with risk factors easily accessible before surgery in patients with gastric cancer, which can predict the probability of peritoneal metastasis well and would be helpful for clinicians to make appropriate therapy strategies.

Serum carbohydrate antigen 125 is a significant prognostic marker in patients with unresectable advanced or recurrent gastric cancer

Surgery Today ◽  
2017 ◽  
Vol 48 (4) ◽  
pp. 388-394 ◽  
Author(s):  
Tsutomu Namikawa ◽  
Yasuhiro Kawanishi ◽  
Kazune Fujisawa ◽  
Eri Munekage ◽  
Jun Iwabu ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prognostic Marker ◽  
Carbohydrate Antigen ◽  
Carbohydrate Antigen 125 ◽  
Recurrent Gastric Cancer ◽  
Serum Carbohydrate Antigen

scholarly journals Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244869
Author(s):  
Shuang-Li Zhu ◽  
Jie Dong ◽  
Chenjing Zhang ◽  
Yao-Bo Huang ◽  
Wensheng Pan
Keyword(s):  
Machine Learning ◽  
Gastric Cancer ◽  
Predictive Model ◽  
Characteristic Curve ◽  
Carbohydrate Antigen ◽  
Gradient Boosting ◽  
Gastric Disease ◽  
Predictive Values ◽  
Carbohydrate Antigen 125 ◽  
Neutrophil Lymphocyte Ratio

Background The diagnosis of gastric cancer mainly relies on endoscopy, which is invasive and costly. The aim of this study is to develop a predictive model for the diagnosis of gastric cancer based on noninvasive characteristics. Aims To construct a predictive model for the diagnosis of gastric cancer with high accuracy based on noninvasive characteristics. Methods A retrospective study of 709 patients at Zhejiang Provincial People's Hospital was conducted. Variables of age, gender, blood cell count, liver function, kidney function, blood lipids, tumor markers and pathological results were analyzed. We used gradient boosting decision tree (GBDT), a type of machine learning method, to construct a predictive model for the diagnosis of gastric cancer and evaluate the accuracy of the model. Results Of the 709 patients, 398 were diagnosed with gastric cancer; 311 were health people or diagnosed with benign gastric disease. Multivariate analysis showed that gender, age, neutrophil lymphocyte ratio, hemoglobin, albumin, carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125) and carbohydrate antigen 199 (CA199) were independent characteristics associated with gastric cancer. We constructed a predictive model using GBDT, and the area under the receiver operating characteristic curve (AUC) of the model was 91%. For the test dataset, sensitivity was 87.0% and specificity 84.1% at the optimal threshold value of 0.56. The overall accuracy was 83.0%. Positive and negative predictive values were 83.0% and 87.8%, respectively. Conclusion We construct a predictive model to diagnose gastric cancer with high sensitivity and specificity. The model is noninvasive and may reduce the medical cost.

Combined Detection of Exosome Concentration and Tumor Markers in Gastric Cancer

2020 ◽  
Vol 16 (2) ◽  
pp. 252-258
Author(s):  
Yanyan Xia ◽  
Xiaohan Hu ◽  
Kaili Di ◽  
Chang Liu ◽  
Tingting Tan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Tumor Markers ◽  
Carbohydrate Antigen ◽  
Carbohydrate Antigen 125 ◽  
Specificity And Sensitivity ◽  
Combined Test ◽  
Positive Rate ◽  
The Difference ◽  
Cyclic Degradation ◽  
Gastric Cancer Patients

It has been an established fact that exosomes act as a mediator in tumor microenvironment as well as participate actively in intercellular communication between cancer cells. Exosomes carry a variety of molecular cargoes that prevent cyclic degradation and represent the cells of their origin. In this study, the difference in expression levels of exosomes was measured for diagnosis of gastric cancer. We isolated exosomes from plasma by size-selective method. The morphology of the exosomes was characterized by transmission electron microscopy, and the particle size and concentration of the exosomes were detected by NanoSight's Nanoparticle Tracking Analysis. Results indicated that the expression level of exosomes in gastric cancer patients was higher than that in healthy individuals. The specificity and sensitivity were 65.2% and 73.1%, respectively. Currently, clinical tumor markers for gastric cancer detection mainly included Carbohydrate antigen 72-4 (CA72-4), Alpha-fetoprotein, Carbohydrate antigen 125, Carbohydrate antigen 19-9 (CA19-9), Carcinoembryonic Antigen, Carbohydrate antigen 242. When we combined positive rate for combined gastric cancer biomarkers, results showed that exosomes concentration +CA19-9 and exosomes concentration +CA72-4 in the two-combined test can provide enough positive rate. Therefore, it can be concluded that for gastric cancer, the concentration of exosomes may be regarded as a diagnostic indicator, eventually.

scholarly journals Metastatic Gastric Adenocarcinoma Cancer With a Very High Serum Carbohydrate Antigen 19-9 Level: A Case Study

2021 ◽  
Author(s):  
Ali Reza Jafarinezhad ◽  
Neda Aligoli Ghasemabadi
Keyword(s):  
Gastric Cancer ◽  
Tumor Marker ◽  
Lumbar Vertebrae ◽  
Serum Levels ◽  
Carbohydrate Antigen ◽  
Signet Ring Cell Carcinoma ◽  
High Serum ◽  
Signet Ring Cell ◽  
Carbohydrate Antigen 125 ◽  
The Right

Carbohydrate Antigen 19-9 (CA19-9) is a tumor marker for the prognosis of colorectal and pancreatic cancers. The high level of this tumor marker in gastric cancer indicates the advanced stage and peritoneal metastasis of the tumor. We reported a case of gastric cancer with an extremely high serum level of CA19-9. We also measured the serum levels of carcinoembryonic antigen and Carbohydrate Antigen 125 in the reported case. Such tumor markers manifest the progression and poor prognosis of cancer. Computed tomography data indicated several lytic and sclerotic foci in the inferior thoracic, lumbar vertebrae, and the right iliac wing, along with invasion to lymph nodes and a right adnexal mass in the reported patient. Bone marrow biopsy results revealed that carcinoma cells were predominantly composed of signet ring cell carcinoma. The patient has expired before receiving any interventions for cancer.

Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection

2020 ◽  
Vol 26 (40) ◽  
pp. 5213-5219
Author(s):  
Yun Chen ◽  
Jinwei Zheng ◽  
Junping Chen
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Elderly Patients ◽  
Curative Resection ◽  
Postoperative Delirium ◽  
Area Under The Curve ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Clinicopathologic Characteristics

Background: Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Methods: Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. Results: A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98–5.87, P=0.003). Conclusions: In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

scholarly journals Benign Ovarian Cysts with Raised CA-125 Levels: Do We Need to Evaluate the Fallopian Tubes?

2020 ◽  
Vol 12 (04) ◽  
pp. 276-280
Author(s):  
Devesh Sharma ◽  
Anjali Vinocha
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Cyst ◽  
Transvaginal Ultrasound ◽  
Premenopausal Women ◽  
Carbohydrate Antigen ◽  
Ca 125 ◽  
Ovarian Cysts ◽  
Fallopian Tubes ◽  
Case Record ◽  
Carbohydrate Antigen 125

Abstract Objectives It is not clearly known whether some benign (simple) ovarian cysts can convert into cancerous cysts. Size of cyst and wall abnormalities do predict the potentiality of malignancy. Not many studies have been done to explore the malignant potential of large-sized (> 5 cm) unilocular ovarian cysts without wall abnormalities. This study evaluated the correlation between ultrasonographic size of benign ovarian cysts and carbohydrate antigen 125 (CA-125) levels. Methodology Sixty (60) premenopausal women were recruited for the study preoperatively, based on transvaginal ultrasound (TVUS) findings present in the case record sheet received along with the CA-125 sample in the biochemistry laboratories. Those cases with elevated CA-125 levels were selected, where patients had unilocular ovarian cysts without wall abnormalities. CA-125 was done using ECLIA methodology (Cobas e411, Germany). Statistical correlation was calculated between the ovarian cyst size and CA-125 levels using Spearman’s Rho coefficient. Results Mean age group of subjects were 29.7 ± 7.3 years and mean value of CA-125 (normal < 35 IU/mL) was found to be increased: 118.0 ± 147.1 IU/mL so was the mean diameter of cysts (cut off ≤ 5 cm): 48.6 ± 59.8 cm. No correlation was found between CA-125 levels and volume of ovarian cyst (r = 0.005, p = 0.680) for all subjects. Conclusions The lack of correlation between size of ovarian cysts and CA-125 levels provides a hint that the ovarian cyst epithelium does not directly express CA-125 and it may come from sites like the fallopian tube. Thus, raised level of CA-125 in benign ovarian cyst should be followed-up more closely, demanding assessment of fallopian tubes for early diagnosis of ovarian cancer. Also, algorithms can be explored to include size of ovarian cyst and CA 125 levels to predict ovarian cancer.

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