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Published on: July 21, 2023
Predictors of malignant intussusception in adults using clinical manifestations and multidetector computed
Qiu-Jie Dong1, Yun Yao2, Chun-Lai Zhang3
1Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing 400042, China; Department of Radiology, Daping Hospital, Army Medical University, Chongqing 400042, China.
Purpose:
To investigate the diagnostic performance of clinical manifestations and multidetector computed tomographic (MDCT) features in detecting predictors of malignant intussusception in adults.
Material And Methods:
We retrospectively reviewed 88 adults with 91 intussusceptions who were diagnosed by MDCT. Their clinical manifestations and MDCT features were reviewed and compared between the malignant and benign groups. Uni- and multivariate logistic regression analyses were used to identify independent predictors of malignant intussusception.
Results:
There were 61 patients in the malignant group and 27 patients in the benign group. The malignant group had older age (mean, 62.61 vs 54.22 years, P = 0.014), more colon-related intussusception (89.06% vs 55.56%, P < 0.001), shorter intussusception length (median, 6.53 vs 9.73 cm, P = 0.009), higher maximum short axis diameter (mean, 4.85 vs 4.10 cm, P = 0.001), more enlarged lymph nodes (40.63% vs 11.11%, P = 0.006) than the benign group. Lead points were mainly presented as masses, which were irregular (44.74%) and lobular (28.95%) in the malignant group, and round or oval (92.00%) in the benign group. On the unenhanced MDCT, 90.62% of them in the malignant group showed non-hypodense. Multivariate analysis showed that intussusception length (P = 0.013), maximum short axis diameter (P = 0.007), non-round/oval lead point (P < 0.001) and non-hypodense lead point (P = 0.030) were independent factors of malignant intussusception.
Conclusion:
Malignant intussusception can be identified using independent predictors such as intussusception length, maximum short axis diameter, non-round/oval and non-hypodense lead point. When integrating these four factors, radiologists can make qualitative diagnoses withhigher sensitivity and specificity, allowing clinicians to develop more appropriate treatments.
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