Evaluation of endoscopic ultrasound image quality is necessary in endosonographic assessment of early gastric cancer invasion depth.

Evaluation of endoscopic ultrasound image quality is necessary in endosonographic assessment of early gastric cancer invasion depth.
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DOI:
10.1155/2012/194530
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发表时间:
2012
影响因子:
2
通讯作者:
Takehara T
Takehara T
中科院分区:
医学4区
文献类型:
--
作者:
Yamamoto S;Nishida T;Kato M;Inoue T;Hayashi Y;Kondo J;Akasaka T;Yamada T;Shinzaki S;Iijima H;Tsujii M;Takehara T

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我们评估超声内镜(EUS)图像质量是否影响早期胃癌(EGC)垂直浸润深度诊断的准确性。共纳入了75例疑似EGC患者的75处病变。所有患者均行EUS检查。将EUS所见与组织病理学结果进行比较。我们评估了以下临床病理因素的影响:位置,直径,表面模式,伴随溃疡,组织学类型和EUS图像质量评分。EUS图像质量根据检测可重复性、适当的探头放置和包括病变在内的五个胃壁层的清晰度进行评分。63处病变(84%)为病理性粘膜病变,12处病变(16%)为粘膜下癌。总体准确率为82.7%。胃上部和中部病变的误诊率明显高于下部(P = 0.0019)。在误诊的病变中,病变直径明显更大(P = 0.0257)。与正确诊断的病变相比,低质量图像更常与错误诊断的病变相关(P = 0.0001)。多变量分析显示EUS图像质量与EUS分期准确性相关(比值比,21.8; 95%置信区间,4.5-137.6)。低质量的EUS图像导致对EGC浸润深度的错误诊断,而与肿瘤的位置或大小无关。
We evaluated whether endoscopic ultrasonography (EUS) image quality affects the accuracy of diagnosing the vertical invasion depth of early gastric cancer (EGC). A total of 75 lesions in 75 patients suspected of having EGC were enrolled. All patients underwent EUS examination. Findings of EUS were compared with histopathologic results. We evaluated the effect of the following clinicopathologic factors: location, diameter, surface pattern, concomitant ulceration, histology type, and EUS image quality score. EUS image quality was scored based on detection repeatability, appropriate probe placement, and clarity of the five gastric wall layers including the lesion. Sixty-three lesions (84%) were pathologically mucosal and 12 lesions (16%) were submucosal cancer. Overall accuracy was 82.7%. Significantly more lesions in the upper and middle portions of the stomach were incorrectly diagnosed than in the lower portion (P = 0.0019). Lesion diameter was significantly larger among incorrectly diagnosed lesions (P = 0.0257). Low-quality images were significantly more often associated with incorrectly diagnosed lesions than with correctly diagnosed lesions (P = 0.0001). Multivariate analysis revealed that EUS image quality was associated with EUS staging accuracy (odds ratio, 21.8; 95% confidence interval, 4.5–137.6). Low-quality EUS images led to an incorrect diagnosis of invasion depth of EGC, independent of tumor location or size.
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