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DOI 10.1097/rct.0000000000000718

Медицинская библиотека · Journal of computer assisted tomography · 2018

Usefulness of Volume Perfusion Computed Tomography in Differentiating Histologic Subtypes of Thymic Epithelial Tumors.

Jing Yong, Yan Wei-Qiang, Li Gang-Feng, Duan Shi-Jun, Wang Shu-Mei, Sun Lin, Hu Yu-Chuan, Cui Guang-Bin

СтатьяПеревод пока не подготовлен

Аннотация

PURPOSE: This study aimed to evaluate the usefulness of volume perfusion computed tomography (VPCT) parameters in differentiating the World Health Organization subtypes of thymic epithelial tumors.

MATERIALS AND

METHODS

This study was approved by the local ethics committee, and informed written consent was obtained. Fifty-one thymic epithelial tumor patients confirmed by histopathological analysis underwent conventional CT and a 48-second VPCT scan of the tumor bulk before any treatment. The VPCT parameters (blood volume [BV], blood flow [BF], mean transit time [MTT], and permeability [PMB]) based on volume of interest (VOI) or region of interest (ROI) were compared for differences among low-risk thymomas (LRTs; types A, AB, and B1), high-risk thymomas (HRTs; types B2 and B3) and thymic carcinomas (TCs) by one-way analysis of variance.

RESULTS

The BVVOI, PMBVOI, BVROI, and PMBROI values in LRT were significantly higher than the values from HRT and thymic carcinoma (BVVOI: 13.75, 6.17, and 5.48 mL/100 mL; PMBVOI: 22.47, 9.56, and 13.37 mL/100 mL/min; BVROI: 14.75, 6.87, and 6.06 mL/100 mL; PMBROI: 24.05, 9.79, and 15.63 mL/100 mL/min, respectively; all P < 0.05/3). However, the BFVOI, MTTVOI, BFROI, and MTTROI values did not differ between LRT and HRT or thymic carcinoma groups (P > 0.05/3).

CONCLUSIONS

These results suggest that VPCT could be useful in differentiating LRTs from HRTs and TCs preoperatively.

Для цитирования: Jing Yong, Yan Wei-Qiang, Li Gang-Feng, Duan Shi-Jun, Wang Shu-Mei, Sun Lin, Hu Yu-Chuan, Cui Guang-Bin. Usefulness of Volume Perfusion Computed Tomography in Differentiating Histologic Subtypes of Thymic Epithelial Tumors.. Journal of computer assisted tomography. 2018. DOI: 10.1097/rct.0000000000000718.

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