Automatic Detection of Gastric Wall Structure Based on Oral Contrast-Enhanced Ultrasound and Its Application on Tumor Screening

Explainable machine learning models for early gastric cancer diagnosis

Gastric cancer remains a significant global health concern, with a notably high incidence in East Asia. This paper explores the potential of explainable machine learning models in enhancing the early diagnosis of gastric cancer. Through comprehensive evaluations, various machine learning models, including WeightedEnsemble, CatBoost, and RandomForest, demonstrated high potential in accurately diagnosing early gastric cancer. The study emphasizes the importance of model explainability in medical diagnostics, showing how transparent, explainable models can increase trust and clinical acceptance, thereby improving diagnostic accuracy and patient outcomes. This research not only highlights key biomarkers and clinical features critical for early detection but also presents a versatile approach that could be applied to other medical diagnostics, promoting broader adoption of machine learning in clinical settings.

Whether the use of intravenous contrast-enhanced ultrasound can improve the accuracy of T stage diagnosis of gastric cancer?

OBJECTIVE

To explore whether the use of intravenous contrast-enhanced ultrasound (CEUS) can improve the diagnostic accuracy of T stage of gastric cancer on the basis of oral contrast-enhanced ultrasound (OCEUS).

METHODS

Eighty-one patients with gastric cancer who underwent preoperative CEUS. Criteria for T staging was AJCC Stage 8th Edition. To compare the diagnostic accuracy, sensitivity and specificity of OCEUS and CEUS for T staging of gastric cancer using pathological results as the gold standard.

RESULTS

There were differences in the diagnostic accuracy of T2 (P = 0.048), T3(P = 0.002) and T4 (P = 0.000) between OCEUS and CEUS. And there was no difference in diagnostic accuracy for T1 (P = 0.118). CEUS significantly improved diagnostic sensitivity and specificity in T3 (42.86% to 61.90% for sensitivity, 86.96% to 93.75% for specificity), and T4 (64.71% to 76.47% for sensitivity, 78.33% to 95.74% for specificity).

CONCLUSION

Compared with OCEUS, CEUS did improve the diagnostic accuracy of T2, T3, and T4 stages of gastric cancer.

Prospective Comparison of Oral Contrast-Enhanced Transabdominal Ultrasound Imaging With Contrast-Enhanced Computed Tomography in Pre-operative Tumor Staging of Gastric Cancer

The aim of this prospective study was to compare the diagnostic accuracy of oral contrast-enhanced transabdominal ultrasound imaging (OCTU) with that of contrast-enhanced computed tomography (CT) for the pre-operative tumor staging of gastric cancer, with post-operative pathology as the standard. We included 108 cases of gastric cancer with simultaneous OCTU and enhanced CT pre-operative tumor staging diagnoses. Results were compared with post-operative pathology based on the eighth edition of the American Joint Committee on Cancer tumor-node-metastasis staging guidelines for gastric cancer. The accuracy of each tumor stage was obtained by comparing OCTU and enhanced CT diagnoses with post-operative pathology. The McNemar test was used to compare the overall accuracy of the two methods. There was no statistical difference in accuracy between OCTU (72.2%) and enhanced CT (75.9%, p = 0.644) for overall pre-operative tumor staging diagnosis. For stages T1 to T4, the accuracy rates of OCTU were 84.2%, 81.8%, 69.4% and 65.5%, respectively, and those for enhanced CT were 52.6%, 72.7%, 87.8% and 72.4%, respectively. OCTU is comparable to enhanced CT in the preoperative overall T-stage diagnosis of gastric cancer.

Initial screening of gastric cancer using oral contrast-enhanced trans-abdominal ultrasonography in rural asymptomatic individuals

BACKGROUND & AIMS

Initial screening for high-risk population of gastric cancer (GC) is needed in rural areas of large-population countries. This study aims to explore the feasibility of applying noninvasive ultrasonography as an initial screening strategy to improve the early diagnosis and prevention of GC.

METHODS

Oral contrast-enhanced trans-abdominal ultrasonography (OCTU) was initially applied to screen around 15,000 residents from 24 different rural villages of Changxing Island in Shanghai, China, facilitating the identification of high-risk population for further endoscopy examination.

RESULTS

176 subjects (1.18 %) were initially identified with gastric diseases using OCTU while 14,787 ones (98.93 %) were normal with negative results. 145 out of 176 individuals (82.39 %) took further endoscopy examination, and 16 were diagnosed with GC with biopsy examination, with 9 of them at the early stage. We followed up with the Center for Disease Control and Prevention, and identified another 6 GC cases occurred within one year among OCTU-negative population, serving as an adjustment factor for sensitivity analysis. As a result, with a total of 22 GC cases included in this cohort, the positive predictive rate, the negative predictive value, sensitivity, and specificity were 9.09％, 99.96 %, 75.5 %, and 98.93 %, respectively.

CONCLUSIONS

OCTU is feasible, non-invasive, low-cost, and widely acceptable in rural area, thus we proposed that OCTU is practicable to serve as a supplementary screening method to improve the early detection of GC in rural area of China and other developing countries with large population.