Enhancing gastric cancer early detection: A multi-verse optimized feature selection model with crossover-information feedback.

Gastric cancer (GC), an acknowledged malignant neoplasm, threatens life and digestive system functionality if not detected and addressed promptly in its nascent stages. The indispensability of early detection for GC to augment treatment efficacy and survival prospects forms the crux of this investigation. Our study introduces an innovative wrapper-based feature selection methodology, referred to as bCIFMVO-FKNN-FS, which integrates a crossover-information feedback multi-verse optimizer (CIFMVO) with the fuzzy k-nearest neighbors (FKNN) classifier. The primary goal of this initiative is to develop an advanced screening model designed to accelerate the identification of patients with early-stage GC. Initially, the capability of CIFMVO is validated through its application to the IEEE CEC benchmark functions, during which its optimization efficiency is measured against eleven cutting-edge algorithms across various dimensionalities-10, 30, 50, and 100. Subsequent application of the bCIFMVO-FKNN-FS model to the clinical data of 1632 individuals from Wenzhou Central Hospital-diagnosed with either early-stage GC or chronic gastritis-demonstrates the model's formidable predictive accuracy (83.395%) and sensitivity (87.538%). Concurrently, this investigation delineates age, gender, serum gastrin-17, serum pepsinogen I, and the serum pepsinogen I to serum pepsinogen II ratio as parameters significantly associated with early-stage GC. These insights not only validate the efficacy of our proposed model in the early screening of GC but also contribute substantively to the corpus of knowledge facilitating early diagnosis.

Achalasia Following SARS-CoV-2 Infection: A Case Report and Review of Literature.

RATIONALE: The COVID-19 pandemic caused by the SARS-CoV-2 virus has led to health complications beyond respiratory symptoms, revealing multi-organ involvement, including potential gastrointestinal implications. PATIENT CONCERNS: We present a case of a 40-year-old female without any history of achalasia who developed symptoms of the condition following a confirmed SARS-CoV-2 infection. Unusually, multiple esophageal ulcers were identified, which are not typically associated with achalasia. DIAGNOSIS: Achalasia and esophageal ulcers were confirmed through a series of examinations, including barium swallow, CT scan, and upper endoscopy. Furthermore, immunohistochemical staining of esophageal biopsy specimens revealed the presence of the SARS-CoV-2 spike protein, suggesting direct viral involvement. INTERVENTIONS: The patient was treated with calcium channel blockers and proton pump inhibitors and later underwent a peroral endoscopic myotomy (POEM) procedure following the resolution of her COVID-19 infection. OUTCOME: After the POEM procedure, the patient made a good recovery. LESSONS: This case underscores the potential for SARS-CoV-2 to trigger gastrointestinal complications and emphasizes the need for ongoing patient management and further research into the long-term implications of COVID-19. Despite the single-case nature of this report, it contributes to the expanding understanding of the diverse and multi-systemic impact of COVID-19.

An explainable artificial intelligence system for diagnosing Helicobacter Pylori infection under endoscopy: a case-control study.

Background: Changes in gastric mucosa caused by Helicobacter pylori (H. pylori) infection affect the observation of early gastric cancer under endoscopy. Although previous researches reported that computer-aided diagnosis (CAD) systems have great potential in the diagnosis of H. pylori infection, their explainability remains a challenge. Objective: We aim to develop an explainable artificial intelligence system for diagnosing H. pylori infection (EADHI) and giving diagnostic basis under endoscopy. Design: A case-control study. Methods: We retrospectively obtained 47,239 images from 1826 patients between 1 June 2020 and 31 July 2021 at Renmin Hospital of Wuhan University for the development of EADHI. EADHI was developed based on feature extraction combining ResNet-50 and long short-term memory networks. Nine endoscopic features were used for H. pylori infection. EADHI's performance was evaluated and compared to that of endoscopists. An external test was conducted in Wenzhou Central Hospital to evaluate its robustness. A gradient-boosting decision tree model was used to examine the contributions of different mucosal features for diagnosing H. pylori infection. Results: The system extracted mucosal features for diagnosing H. pylori infection with an overall accuracy of 78.3% [95% confidence interval (CI): 76.2-80.3]. The accuracy of EADHI for diagnosing H. pylori infection (91.1%, 95% CI: 85.7-94.6) was significantly higher than that of endoscopists (by 15.5%, 95% CI: 9.7-21.3) in internal test. And it showed a good accuracy of 91.9% (95% CI: 85.6-95.7) in external test. Mucosal edema was the most important diagnostic feature for H. pylori positive, while regular arrangement of collecting venules was the most important H. pylori negative feature. Conclusion: The EADHI discerns H. pylori gastritis with high accuracy and good explainability, which may improve the trust and acceptability of endoscopists on CADs. Plain language summary: An explainable AI system for Helicobacter pylori with good diagnostic performance Helicobacter pylori (H. pylori) is the main risk factor for gastric cancer (GC), and changes in gastric mucosa caused by H. pylori infection affect the observation of early GC under endoscopy. Therefore, it is necessary to identify H. pylori infection under endoscopy. Although previous research showed that computer-aided diagnosis (CAD) systems have great potential in H. pylori infection diagnosis, their generalization and explainability are still a challenge. Herein, we constructed an explainable artificial intelligence system for diagnosing H. pylori infection (EADHI) using images by case. In this study, we integrated ResNet-50 and long short-term memory (LSTM) networks into the system. Among them, ResNet50 is used for feature extraction, LSTM is used to classify H. pylori infection status based on these features. Furthermore, we added the information of mucosal features in each case when training the system so that EADHI could identify and output which mucosal features are contained in a case. In our study, EADHI achieved good diagnostic performance with an accuracy of 91.1% [95% confidence interval (CI): 85.7-94.6], which was significantly higher than that of endoscopists (by 15.5%, 95% CI: 9.7-21.3%) in internal test. In addition, it showed a good diagnostic accuracy of 91.9% (95% CI: 85.6-95.7) in external tests. The EADHI discerns H. pylori gastritis with high accuracy and good explainability, which may improve the trust and acceptability of endoscopists on CADs. However, we only used data from a single center to develop EADHI, and it was not effective in identifying past H. pylori infection. Future, multicenter, prospective studies are needed to demonstrate the clinical applicability of CADs.

Gene profiling of metastatic small intestinal squamous cell carcinoma after lung squamous cell carcinoma surgery: a case report.

Background: Isolated metachronous metastatic small intestinal squamous cell carcinoma is rare, and it is sometimes is difficult to determine whether small intestinal squamous cell carcinoma is metastatic by immunohistochemistry alone. At present, there is no literature analyzing the gene profile of metastatic small intestinal squamous cell carcinoma. Case Description: We met a 62-year-old male patient who had a history of lung squamous cell carcinoma surgery. He was admitted for simultaneous jejunal squamous all carcinoma, gastric adenocarcinoma, rectal adenocarcinoma. Endoscopic resection was performed for gastric cancer and rectal cancer, surgical resection was performed for jejunal squamous cell carcinoma, and docetaxel adjuvant chemotherapy were performed after surgery. No tumor recurrence was found in the reexamination in august 2021, and the patient was still alive during telephone follow-up before submission. This case presented two key challenges: (I) we could not determine whether the small intestinal squamous cell carcinoma was primary or metastatic; and (II) whether the patient, who had four different cancers, carried a genetic mutation that causes disease. We performed next generation sequencing (NGS) on four kinds of tissues and white blood cells, and found that the EGFR gene exhibited the same pathogenic mutation in both the lung and small intestine (c.2155G>Tp.G719C and c.2303G>Tp.S768I), and that the PPM1D gene had the same unidentified mutation (c.1787A>G:p.H596R) in two organs, therefore jejunal squamous cell carcinoma is considered as metastasis of lung squamous cell carcinoma. We found the FGFR4 mutation (c.1162g>A:p.g388r) in the blood and four kinds of tissues, which may be pathogenic and significantly increase the risk of cancer in patients. Conclusions: Genetic testing helped us identify the source of metastases, helped us find two rare mutations in the squamous cell carcinoma EGFR gene, and helped us find that FGFR4 (c.1162G>A:p.G388R) mutation may play an important role in tumor development.

Application of a novel scoring system for gastric cancer opportunistic screening in hospital visits.

BACKGROUND: A novel scoring system and screening procedure for gastric cancer (GC) screening was proposed based on the national conditions of China, which state that endoscopy professionals and facilities are relatively limited compared with the large Chinese population. METHODS: A novel scoring system for gastric cancer screening was used to retrospectively analyse the patients who met the screening procedure from April 2017 to December 2019 in our hospital. We divided all of the patients into three groups: low-risk group (0-11 scores), medium-risk group (12-16 scores), and high-risk group (17-23 scores). Statistical analysis was performed on the detection rate of gastric cancer and precursors of gastric cancer among these three groups. RESULTS: A total of 6701 patients were enrolled in this study, including 4,352(64.95%) in the low-risk group, 1,948 patients (29.07%) in the medium-risk group, and 401 patients (5.98%) in the high-risk group. The total detection rate of gastric cancer was 2.84% (190/6,701), with a 0.94% rate (41/4,352) in the low-risk group, a 5.18% rate (101/1,948) in the medium-risk group, and a 11.97% rate (48/401) in the high-risk group. There were statistically significant differences in the detection rate of gastric cancer among these three groups (all P < 0.05). The detection rate of early gastric cancer was 46.31% (88/190) among all of the detected gastric cancers in this study. In addition, the detection rates of differentiated gastric cancer and precursors of gastric cancer in the medium-risk group and high-risk group were significantly higher than those in the low-risk group. In addition, the area under the curve (AUC) of the receiver operating characteristic curve (ROC) of the novel scoring system in differentiating GC was 0.79. CONCLUSION: The screening strategy based on the novel scoring system can significantly improve the efficiency of gastric cancer opportunistic screening in hospital visits. Gastroscopy should be strongly recommended for patients in the medium-risk group and high-risk group, and detailed gastroscopy should be adopted as early as possible to improve the detection rate of early gastric cancer.

Predictive value of nomogram based on Kyoto classification of gastritis to diagnosis of gastric cancer.

BACKGROUND AND AIM: It is important to predict the risk of gastric cancer (GC) for endoscopists because early detection of GC determines the selection of the best treatment strategy and the prognosis of patients. The study aimed to evaluate the utility of a predictive nomogram based on the Kyoto classification of gastritis for GC. METHODS: It was a retrospective study that included 2639 patients who received esophagogastroduodenoscopy and serum pepsinogen (PG) assay from January 2019 to November 2019 at the Endoscopy Center of the Department of Gastroenterology, Wenzhou Central Hospital. Routine biopsy was conducted to determine the benign and malignant lesions pathologically. All cases were randomly divided into the training set (70%) and the validation set (30%) by using the bootstrap method. A nomogram was formulated according to multivariate analysis of the training set. The predictive accuracy and discriminative ability of the nomogram were assessed by concordance index (C-index), area under the curve (AUC) of receiver operating characteristic curve (ROC) as well as calibration curve and were validated by the validation set. RESULTS: Among all patients enrolled, 102 of 2636 cases showed LGIN, HGIN and gastric cancer pathology results, whereas the rest cases showed benign pathological results. Multivariate analysis indicated that age, sex, PG I/II ratio and Kyoto classification scores were independent predictive variables for GC. The C-index of the nomogram of the training set was 0.79 (95% CI: 0.74 to 0.84) and the AUC of ROC is 0.79. The calibration curve of the nomogram demonstrated an optimal agreement between predicted probability and observed probability of the risk of GC. The C-index was 0.86 (95% CI: 0.79 to 0.94) with a calibration curve of better concurrence in the validation set. CONCLUSION: The nomogram formulated was proven to be of high predictive value for GC.

The Efficacy and Safety of Chinese Herbal Medicine in the Treatment of Knee Osteoarthritis: An Updated Systematic Review and Meta-Analysis of 56 Randomized Controlled Trials.

OBJECTIVE: This systematic review and meta-analysis were performed to investigate the efficacy and safety of Chinese herbal medicine (CHM) in the treatment of knee osteoarthritis (KOA). METHODS: An electronic search was conducted in eight databases (PubMed, EMBASE, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, Chinese Biomedical Literature Database, Chinese VIP Database, and Wanfang Database) from inception until December 2019. The risk of bias assessment of the included RCTs was evaluated by Cochrane collaboration's tool. The inclusion criteria were RCTs that investigated the efficacy and safety of CHM in the treatment of KOA, with no restrictions on publication status or language. The exclusion criteria included nonrandomized or quasi-RCTs, no clear KOA diagnostic approach, combined Chinese medicinal herbs with other traditional Chinese medicine treatment modalities, and published using repeated data and missing data. We computed the relative risk (RR) and the standard mean difference (SMD) for dichotomous outcomes and continuous outcomes, respectively. When heterogeneity was detected or there was significant statistical heterogeneity (P < 0.05 or I 2 > 50%), a random-effects model was employed, followed by further subgroup analysis and metaregression estimations to ascertain the origins of heterogeneity. Otherwise, we used a fixed-effects model (P ≥ 0.05 or I 2 ≤ 50%). The primary outcome measures were visual analog score (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Lysholm score, and Lequesne index. Secondary outcome measures were the total clinical effective rate and adverse events. The meta-analysis was performed using the Stata 14.0 software. RESULTS: A total of 56 RCTs comprising 5350 patients met the inclusion criteria. This meta-analysis showed that application of CHM as adjuvant therapy or monotherapy for KOA can significantly decrease VAS, WOMAC, and the Lequesne index and improve the Lysholm score as well as the total effective rate. In addition, this treatment has fewer adverse effects, suggesting that CHM is generally safe and well tolerated among patients with KOA. CONCLUSION: Our study offers supportive evidence that CHM, either adjuvant therapy or monotherapy, reduces the VAS, WOMAC, and Lequesne index and improves the Lysholm score and overall effective rate in patients with KOA. Additionally, CHM was well tolerated and safe in KOA patients. We found frequently used CHMs that might contribute to the formulation of a herbal formula that could be considered for further clinical use. However, given the heterogeneity and limited sample size in this study, larger multicenter and high-quality RCTs are needed to validate the benefits of CHM in the treatment of KOA.

Metastases to duodenum in cervical squamous cell carcinoma: A case report and review of the literature.

RATIONALE: Metastases to the duodenum in cervical squamous cell carcinoma are extremely rare, with only 7 cases reported in the published English literature. PATIENT CONCERNS: We present the case of a 66-year-old woman with duodenal metastasis of cervical squamous cell carcinoma who presented with nausea and vomiting within the past 12 days. DIAGNOSIS: Esophagogastroduodenoscopy revealed a circular narrowed 2nd part of the duodenum with congested and edematous mucosa, which was biopsied for a suspected neoplastic lesion. The pathological diagnosis indicated squamous cell carcinoma identical to the original tumor, confirming duodenal metastasis. INTERVENTIONS: The patient received total parenteral nutrition on admission, but symptoms of jaundice soon appeared in the following week, suggesting infiltration of carcinoma into the common bile duct. After percutaneous transhepatic cholangial drainage was performed, jaundice eased in the following 3 days, and an uncovered self-expandable metallic stent was subsequently inserted into the stenosis of 2nd and 3rd part of the duodenum. Subsequently, the patient's diet quickly resumed. OUTCOMES: The patient refused further intervention and was discharged home to continue palliative care at the local hospital. LESSONS: Clinicians should be alert to patients' past medical history to ensure that duodenal metastasis of other tumors is considered in the differential diagnosis. For endoscopists, awareness of such patterns of duodenal stenosis is vital for the accurate recognition of such infrequent diseases.

LncRNA HAND2-AS1 sponging miR-1275 suppresses colorectal cancer progression by upregulating KLF14.

Long noncoding RNAs (lncRNAs) represent a novel type of noncoding RNAs of over 200 nucleotides, characterized by no or limited protein-coding potential. Although the function of lncRNAs attracts increasing attention recently, the relationship between lncRNA and colorectal cancer (CRC) remains further investigation. In our study, we found that lncRNA HAND2-AS1 was markedly downregulated in CRC tissues. And its expression level was negatively correlated with metastasis and advanced stage in CRC patients. Furthermore, we showed that HAND2-AS1 low expression predicted poor prognosis. Functionally, we found that overexpression of HAND2-AS1 obviously attenuated the proliferation and invasion of CRC cells. Ectopic expression of HAND2-AS1 also inhibited tumor propagation in vivo. In mechanism, HAND2-AS1 served as a sponge of miR-1275 which targeted KLF14. Through facilitating KLF14 expression, HAND2-AS1 suppressed CRC progression. In conclusion, our study demonstrated that HAND2-AS1 exerts a suppressive role in CRC by sponging miR-1275 and modulating KLF14 expression.

[Clinical outcomes of radiofrequency ablation combined with transcatheter arterial chemoembolization for the treatment of hepatocellular carcinoma: a single-center experience].

OBJECTIVE: To compare the effect of radiofrequency ablation (RFA) combined with transcatheter arterial chemoembolization (TACE) with radiofrequency ablation alone for the treatment of 3 - 5 cm hepatocellular carcinoma (HCC). METHODS: From January 2006 to March 2010, sixty-two HCC patients were randomly treated with RFA combined with TACE (n = 32) or RFA alone (n = 30). This group included the patients who had Child-Pugh class A or B with three or fewer tumors, in which just one tumor size was 3 - 5 cm in diameter, and no evidence of extrahepatic tumor metastasis or macrovascular invasion. The follow up ranged from 9 to 39 months. Survival probabilities were estimated with the Kaplan-Meier method, and differences between survival curves were evaluated with the Log rank test. RESULTS: At the end of the study, the 1-, 2- and 3-year overall survival rates in the combined treatment group were 90.6%, 72%, and 53.1%, respectively, and in the radiofrequency ablation alone group were 83.3%, 56.75%, and 23.3%, respectively. The differences between the survival curves of the two groups were not statistically significant (P = 0.176). The 1-, 2-, and 3-year progress-free survival rates in the combined treatment group were 75.0%, 50.0%, and 34.3%, respectively, and in the radiofrequency ablation alone group were 63.3%, 33.3%, and 16.7%, respectively. The differences between the two groups were statistically significant (P = 0.027). The 1-, 2-, and 3-year local tumor progression rates in the combined treatment group were 12.5%, 18.75%, and 18.75% vs. 16.7%, 30%, and 36.6% in the radiofrequency ablation alone group, with a significant difference between the two groups (P = 0.047). CONCLUSION: Radiofrequency ablation plus TACE is better than radiofrequency ablation alone for the treatment of 3 - 5 cm hepatocellular carcinoma.