Wozniak Slawomir, Kempinski Radoslaw, Akutko Katarzyna, Pytrus Tomasz, Zaleska-Dorobisz Urszula
Division of Anatomy, Wroclaw Medical Univeristy, Department of Human Morphology and Embryology, Wroclaw, Poland.
Department of Gastroenterology and Hepatology, Wroclaw Medical University, Wroclaw, Poland.
J Ultrason. 2024 Nov 8;24(97):1-6. doi: 10.15557/jou.2024.0020. eCollection 2024 Nov.
In the study, we aimed to introduce a formula for measuring the oesophageal total wall thickness area, which could be used for developing an artificial intelligence-based algorithm for the detection of patients whose total wall thickness area exceeds the norms.
Mathematical formulas for measuring the square area of the oesophageal total wall thickness area were introduced and applied. Children were grouped according to their weight in clusters. For each cluster, the range (minimal and maximal value) were established. The measurements were done by using the formula for the area of the circular ring according to the formula A = n (B2-b2); the product of n and subtraction square b (smaller radius) and square B (bigger radius). The basic data for our calculations were derived from papers published by Dalby ., 2010 and Loff ., 2022.
The square area (in mm) of the oesophageal wall was calculated and proposed to be introduced for further analysis. This value set could be used for creating an algorithm for computer-aided analysis of patients diagnosed with sonographic examination and isolating patients for surveillance. Our newly introduced approach could be implemented in sonographic, computer tomography, and magnetic resonance examinations in eosinophilic oesophagitis and other oesophageal diseases.
Total wall thickness area could be used for monitoring children with eosinophilic oesophagitis and other oesophageal diseases. The method could also be applied for adults. Therefore, it can be a foundation for further progress with applying artificial intelligence algorithms.
在本研究中，我们旨在引入一种测量食管全壁厚度面积的公式，该公式可用于开发基于人工智能的算法，以检测全壁厚度面积超过正常范围的患者。
引入并应用了测量食管全壁厚度面积平方的数学公式。儿童按体重聚类分组。为每个聚类确定范围（最小值和最大值）。测量使用圆环面积公式(A = n (B^2 - b^2))进行，即(n)与较小半径(b)的平方减去较大半径(B)的平方的乘积。我们计算的基础数据来自达尔比等人2010年和洛夫等人2022年发表的论文。
计算出食管壁的平方面积（单位为(mm)）并建议用于进一步分析。该值集可用于创建一种算法，用于对经超声检查诊断的患者进行计算机辅助分析，并筛选出需要监测的患者。我们新引入的方法可应用于嗜酸性食管炎和其他食管疾病的超声、计算机断层扫描和磁共振检查。
全壁厚度面积可用于监测嗜酸性食管炎和其他食管疾病的儿童。该方法也可应用于成人。因此，它可以为进一步应用人工智能算法奠定基础。
