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European journal of radiology · 2023

Predictors of malignant intussusception in adults using clinical manifestations and multidetector computed tomographic findings.

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Dong Qiu-Jie, Yao Yun, Zhang Chun-Lai, Li Xiao-Guang, Chen Xiao, Wang Yi

Аннотация

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.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты