Department of Infection Surgery, The First Hospital of Changsha, Changsha 410005, Hunan, China.
Department of General Surgery, The First Hospital of Changsha, Changsha 410005, Hunan, China.
Comput Intell Neurosci. 2022 Jun 3;2022:8548760. doi: 10.1155/2022/8548760. eCollection 2022.
In order to deeply analyze the application of CT images based on artificial intelligence algorithm in clinical treatment of AIDS patients with gastric cancer, and to provide reference for intervention of AIDS patients with gastric cancer, a total of 100 AIDS patients with gastric cancer were included as the research objects. The patients with CD4+ T lymphocyte count less than 200 cells/L were in the control group (50 cases), whereas those higher than 200 cells/L were in the experimental group (50 cases). All the patients underwent 64-slice spiral CT scanning. An improved algebraic reconstruction technology (ART) under L0 algorithmic approach (L0-ART) was proposed, and compared with the total variation (TV), filtered back projection (FBP), and weighted total variation (WTV) models. The standard deviation (STD) and average processing time of the L0-ART algorithm were significantly lower than those of the TV, FBP, and WTV algorithms ( < 0.05). The operation time of the experimental group was longer than that of the control group; the intraoperative blood loss, the diameter of the surgical wound, the time of first farting, the length of hospital stays, and the incidence of adverse reactions were all greatly lower than those of the control group ( < 0.05). Postoperatively, the total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) in the abdominal area were higher in the experimental group than those in the control group ( < 0.05). In conclusion, the improved L0-ART algorithm proposed in this study had an excellent processing effect on CT images with a clinical promotion value. Patients with CD4+ T lymphocytes over 200 cells/L had better surgical outcomes and prognosis than those with less than 200 cells/L.
为深入分析人工智能算法在艾滋病合并胃癌患者临床治疗中 CT 图像的应用，为艾滋病合并胃癌患者的干预提供参考，选取我院收治的艾滋病合并胃癌患者 100 例作为研究对象。将 CD4+T 淋巴细胞计数＜200 个/μL 的患者纳入对照组（50 例），计数＞200 个/μL 的患者纳入观察组（50 例）。所有患者均接受 64 排螺旋 CT 扫描。提出一种基于 L0 算法的改进代数重建技术（L0-ART），并与全变差（TV）、滤波反投影（FBP）和加权全变差（WTV）模型进行比较。L0-ART 算法的标准差（STD）和平均处理时间明显低于 TV、FBP 和 WTV 算法（ < 0.05）。观察组的手术时间长于对照组；术中出血量、手术切口直径、首次放屁时间、住院时间和不良反应发生率均明显低于对照组（ < 0.05）。术后观察组腹部总脂肪组织（TAT）、内脏脂肪组织（VAT）和皮下脂肪组织（SAT）均高于对照组（ < 0.05）。综上所述，本研究提出的改进 L0-ART 算法对 CT 图像具有良好的处理效果，具有临床推广价值。CD4+T 淋巴细胞计数＞200 个/μL 的患者手术效果和预后优于 CD4+T 淋巴细胞计数＜200 个/μL 的患者。
