胃肠道间质瘤中计算机断层扫描特征、病理结果及预后风险评估之间的关系评估
Evaluation of the Relationships Between Computed Tomography Features, Pathological Findings, and Prognostic Risk Assessment in Gastrointestinal Stromal Tumors.
作者信息
Iannicelli Elsa, Carbonetti Francesco, Federici Giulia Francesca, Martini Isabella, Caterino Salvatore, Pilozzi Emanuela, Panzuto Francesco, Briani Chiara, David Vincenzo
机构信息
From the *Radiology Unit, †Medical and Surgical Sciences and Translation Medicine, ‡Pathology Department, and §Digestive and Liver Disease, Faculty of Medicine and Psychology, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.
出版信息
J Comput Assist Tomogr. 2017 Mar/Apr;41(2):271-278. doi: 10.1097/RCT.0000000000000499.
OBJECTIVES
The aim of this study was to correlate computed tomography (CT) findings with pathology in gastrointestinal stromal tumors (GISTs).
METHODS
A retrospective evaluation of CT images of 44 patients with GISTs was performed. Computed tomography findings analyzed were location, size, margins, degree and pattern of contrast enhancement, angiogenesis, necrosis, signs of invasion, peritoneal effusion, peritoneal implants, surface ulceration, and calcifications.Associations between CT features and mitotic rate, Miettinen classes of risk, lesions size, and among CT features were investigated. χ Test and Fisher test were performed.
RESULTS
Mitotic rate was associated with margins (P = 0.016) and with adjacent organ invasion (P = 0.043). Pattern of contrast enhancement (P = 0.002), angiogenesis (P = 0.006), necrosis (P = 0.006), invasion of adjacent organs (P = 0.011), and margins (P = 0.006) were associated with classes of risk. Several associations (P < 0.05) between lesion size and CT features and among all the investigated CT features were found.
CONCLUSIONS
Computed tomography features could reflect GIST biology being associated with the mitotic rate and with classes of risk.
目的
本研究旨在将胃肠道间质瘤（GISTs）的计算机断层扫描（CT）结果与病理结果进行关联。
方法
对44例GISTs患者的CT图像进行回顾性评估。分析的CT表现包括位置、大小、边缘、对比增强程度和模式、血管生成、坏死、侵袭征象、腹腔积液、腹腔种植、表面溃疡和钙化。研究CT特征与有丝分裂率、Miettinen风险分级、病变大小以及CT特征之间的关联。进行χ检验和Fisher检验。
结果
有丝分裂率与边缘（P = 0.016）和邻近器官侵袭（P = 0.043）相关。对比增强模式（P = 0.002）、血管生成（P = 0.006）、坏死（P = 0.006）、邻近器官侵袭（P = 0.011）和边缘（P = 0.006）与风险分级相关。在病变大小与CT特征之间以及所有研究的CT特征之间发现了几种关联（P < 0.05）。
结论
CT特征可反映GIST生物学特性，与有丝分裂率和风险分级相关。
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