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DOI 10.2174/0115734056252284231210190622

Медицинская библиотека · Current medical imaging · 2024

A Retrospective Analysis of the Computed Tomography Findings and Diagnosis of 53 Cases of Elastofibroma in the Infrascapular Region.

Wang Jian-Wu, Peng Ru-Chen

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Аннотация

OBJECTIVE

In this work, we have used histopathology as the gold standard for the diagnosis, calculated the sensitivity and positive predictive value (PPV) of computed tomography (CT), and analyzed the CT and clinical characteristics of pathologically proven elastofibromas.

METHODS

A systematic retrospective analysis was performed on all patients with infrascapular lesions who were treated in the hospital from 2006 to 2018. CT and histopathological examinations were performed for all cases, and the CT sensitivity and PPV for the diagnosis of elastofibroma were calculated. 12 of 53 cases (20 lesions) underwent enhanced CT scan after CT plain scan, and the related clinical and CT features of elastofibromas have been discussed.

RESULTS

Of the 54 patients treated during the study, CT diagnosis was consistent with histopathology in 53 cases. One was a false-positive patient. The PPV and sensitivity of the CT in the diagnosis of elastofibroma were 93.3% (95% CI 68.0%-99.8%) and 100%, respectively. The CT values of 12 patients with 20 lesions on plain and enhanced scans were statistically significant (P=0.001). The prevalence of elastofibromas in males and females was statistically significant (P=.000). There was no statistically significant difference in the incidence of left and right elastofibromas (P=0.752). There was no significant difference in the volume of left and right lesions (P=0.209) and the volume of elastofibromas between males and females (P=.474).

CONCLUSION

CT is the most practical tool for the evaluation of elastofibromas in the infrascapular region.

Для цитирования: Wang Jian-Wu, Peng Ru-Chen. A Retrospective Analysis of the Computed Tomography Findings and Diagnosis of 53 Cases of Elastofibroma in the Infrascapular Region.. Current medical imaging. 2024. DOI: 10.2174/0115734056252284231210190622.

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