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首页> 外文期刊>World Journal of Gastroenterology >Potential model for differential diagnosis between Crohn's disease and primary intestinal lymphoma
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Potential model for differential diagnosis between Crohn's disease and primary intestinal lymphoma

机译:克罗恩病和原发性肠淋巴瘤鉴别诊断的潜在模型

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AIM To evaluate the usefulness of different parameters to differentiate Crohn’s disease (CD) from primary intestinal lymphoma (PIL). METHODS The medical records of 85 patients with CD and 56 patients with PIL were reviewed retrospectively. Demographic, clinical, laboratory, endoscopic, and computed tomographic enterography (CTE) parameters were collected. The univariate value of each parameter was analyzed. A differentiation model was established by pooling all the valuable parameters. Diagnostic efficacy was analyzed, and a receiver operating characteristic (ROC) curve was plotted. RESULTS The demographic and clinical parameters that showed significant values for differentiating CD from PIL included age of onset, symptom duration, presence of diarrhea, abdominal mass, and perianal lesions ( P 8 mm, aneurysmal dilation, stricture with proximal dilation, “comb sign”, mass showing the “sandwich sign”, and intussusceptions ( P < 0.05). The sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the differentiation model were 91.8%, 96.4%, 93.6%, 97.5%, and 88.5%, respectively. The cutoff value was 0.5. The area under the ROC curve was 0.989. CONCLUSION The differentiation model that integrated the various parameters together may yield a high diagnostic efficacy in the differential diagnosis between CD and PIL.
机译:目的评估不同参数区分克罗恩病(CD)和原发性肠淋巴瘤(PIL)的有用性。方法回顾性分析85例CD患者和56例PIL患者的病历。收集了人口统计学,临床,实验室,内窥镜和计算机断层扫描肠造影(CTE)参数。分析每个参数的单变量值。通过合并所有有价值的参数来建立差异化模型。分析诊断功效,并绘制接收器工作特性(ROC)曲线。结果人口统计学和临床​​参数显示了CD与PIL鉴别的重要价值,包括发病年龄,症状持续时间,腹泻存在,腹部肿块和肛周病变(P 8 mm,动脉瘤扩张,狭窄伴近端扩张狭窄,“梳状”) ,显示“三明治标志”的质量和肠套叠(P <0.05)。分化模型的敏感性,特异性,准确性,阳性预测值和阴性预测值分别为91.8%,96.4%,93.6%,97.5%和结论分别为88.5%,临界值为0.5,ROC曲线下面积为0.989。结论将各种参数整合在一起的分化模型在CD和PIL的鉴别诊断中可能具有很高的诊断效力。

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