用于鉴别软组织肿瘤的供血动脉和动静脉分流

Wu Gang, Yang Hao, Li Xiaoming

Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei.

The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Medicine (Baltimore). 2019 Jul;98(27):e16346. doi: 10.1097/MD.0000000000016346.

Time resolved magnetic resonance angiography with interleaved stochastic trajectories (TWIST) allows for identification of tumor feeding arteries and arteriovenous shunt (AVS). We used TWIST to obtain number of feeding arteries (NFA) and detect AVS for 43 cases of pathology-confirmed soft tissue tumors. We compared normalized number of feeding arteries (nNFA) and AVS between malignant and benign tumors, and found nNFA was significantly greater in malignant tumors versus benign tumors (2.1 vs 1.3, P < .05). The incidence of AVS was significantly higher in malignant tumors versus benign tumors (87.5% vs 10.5%, P < .05). TWIST derived nNFA and AVS could be useful in the discrimination of benign and malignant soft tissue tumors.

采用交错随机轨迹的时间分辨磁共振血管造影术（TWIST）能够识别肿瘤供血动脉和动静脉分流（AVS）。我们使用TWIST对43例经病理证实的软组织肿瘤进行供血动脉数量（NFA）测定并检测AVS。我们比较了恶性肿瘤与良性肿瘤之间的标准化供血动脉数量（nNFA）和AVS，发现恶性肿瘤的nNFA显著高于良性肿瘤（2.1对1.3，P <.05）。恶性肿瘤中AVS的发生率显著高于良性肿瘤（87.5%对10.5%，P <.05）。TWIST得出的nNFA和AVS有助于鉴别良性和恶性软组织肿瘤。