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预测重症阑尾炎的重要CT表现:腹膜后间隙受累。

Important CT findings for prediction of severe appendicitis: involvement of retroperitoneal space.

作者信息

Kitaoka Kumiko, Saito Kazuhiro, Tokuuye Koichi

机构信息

Department of Radiology Tokyo Medical University Hospital, 6-7-1 Nishishinjuku, Shinjuku-ku, Tokyo, 160-0023 Japan.

出版信息

World J Emerg Surg. 2014 Dec 17;9(1):62. doi: 10.1186/1749-7922-9-62. eCollection 2014.

Abstract

BACKGROUND

Determination of the severity of appendicitis and differentiation between complicated and uncomplicated appendicitis are clinically important. Severe appendicitis frequently affects extraperitoneal spaces. We have investigated CT findings of retroperitoneal space (RPS) in patients with appendicitis to create a model for identification of complicated appendicitis.

METHOD

CT images of 223 patients with pathologically proven appendicitis were reviewed. The total number of the segments in RPS where inflammatory changes were located (RPS count) was obtained as well as appendiceal diameter, appendicolithiasis, WBC count, and CRP level. Data were analyzed to identify factors indicating complicated appendicitis. Univariate analysis was conducted to identify statistically significant variables. A multivariable logistic regression analysis was performed in order to find independent predictors of complicated appendicitis.

RESULTS

Patients with complicated appendicitis were more likely to have higher RPS count (P < 0.001), appendicolithiasis (P = 0.002), higher CRP level (P < 0.001), and greater appendix diameter (P < 0.001) than patients with uncomplicated appendicitis. Statistical analysis showed RPS count was the most helpful predictor of complicated appendicitis.

CONCLUSION

Radiologists and surgeons should be aware of the importance of CT findings in RPS when treating patients with appendicitis. Complicated appendicitis can be predicted by RPS count, diameter of the appendix, appendicolithiasis, and CRP level.

摘要

背景

确定阑尾炎的严重程度以及区分复杂性阑尾炎和非复杂性阑尾炎在临床上具有重要意义。严重阑尾炎常累及腹膜外间隙。我们研究了阑尾炎患者腹膜后间隙(RPS)的CT表现,以建立一种识别复杂性阑尾炎的模型。

方法

回顾了223例经病理证实为阑尾炎患者的CT图像。获取RPS中存在炎症改变的节段总数(RPS计数)以及阑尾直径、阑尾结石、白细胞计数和CRP水平。对数据进行分析以确定提示复杂性阑尾炎的因素。进行单因素分析以识别具有统计学意义的变量。进行多变量逻辑回归分析以寻找复杂性阑尾炎的独立预测因素。

结果

与非复杂性阑尾炎患者相比,复杂性阑尾炎患者更有可能具有更高的RPS计数(P < 0.001)、阑尾结石(P = 0.002)、更高的CRP水平(P < 0.001)和更大的阑尾直径(P < 0.001)。统计分析表明,RPS计数是复杂性阑尾炎最有用的预测指标。

结论

放射科医生和外科医生在治疗阑尾炎患者时应意识到RPS的CT表现的重要性。复杂性阑尾炎可通过RPS计数、阑尾直径、阑尾结石和CRP水平进行预测。

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