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对比增强能量多普勒内镜超声与超声弹性成像技术应变比值对胰腺局灶性实性病变的诊断价值。

Yield of Contrast-Enhanced Power Doppler Endoscopic Ultrasonography and Strain Ratio Obtained by EUS-Elastography in the Diagnosis of Focal Pancreatic Solid Lesions.

机构信息

Unité d'Exploration Médico-Chirurgicale Oncologique, Institut Paoli-Calmettes, France ; Gastroenterology Department, University of the State of Rio de Janeiro and Federal University of Rio de Janeiro, Brazil.

Biopathology Unit, Institut Paoli-Calmettes, France.

出版信息

Endosc Ultrasound. 2012 Oct;1(3):143-9. doi: 10.7178/eus.03.005.

DOI:10.7178/eus.03.005
PMID:24949352
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4062225/
Abstract

OBJECTIVE

Although endoscopic ultrasonography-guided fine needle aspiration (EUS-FNA) is the gold standard for diagnosing pancreatic lesions, its negative predictive value is suboptimal. Our aim was to evaluate the yield of contrast-enhanced EUS (CED-EUS) and of strain ratio EUS-elastography (SR-E-EUS) for differentiating pancreatic solid lesions.

METHODS

Forty-seven patients (27 men, 20 women, 70 ± 11 years) were consecutively involved in this single-center, prospective study. They were submitted to EUS, SR-E-EUS, CED-EUS with Sonovue(®), and EUS-FNA. The final diagnosis was based on the histological assessment of EUS-FNA and/or surgical specimens when available, and on follow-up of at least 6 months.

RESULTS

From the 47 focal pancreatic lesions included, 13 (28%) were benign and 34 (72%) malignant. Patients with malignancy were older (70 ± 11 vs. 61 ± 8, P = 0.003), and had larger lesions (34 ± 12 mm vs. 22 ± 11 mm, P = 0.03). Malignant lesions had higher SR-E-EUS (31 ± 32 vs. 8 ± 9, P = 0.001) and more hypovascular pattern (93% vs. 33%, P < 0.001). Logistic regression determined that only hypovascularity (OR = 2.6, 95%CI: 1.5-130, P = 0.02) was independently predictive of malignancy. ROC analysis for SR-E-EUS yielded an optimal cutoff of 8 (AUC 0.91, 95%CI: 0.74-0.98) for the best power distinction for malignancy. There was no significant difference concerning sensitivity (79%, 90%, 93%) and specificity rates (85%, 75%, 67%) of EUS-FNA, SR-E-EUS, and CED-EUS, respectively. By analysis of the inconclusive EUS-FNA subset (9 patients, 19%), SR-E-EUS > 8 and hypovascularity showed sensitivity of 80% and 100%, and specificity of 67% and 67%, respectively.

CONCLUSION

The clinical utility of CED-EUS and SR-E-EUS remains questionable. The accuracies of CED-EUS and SR-E-EUS are similar to EUS-FNA. Hypovascularity was independently predictive of malignancy. Patients with inconclusive EUS-FNA could benefit from CED-EUS due to the high sensitivity of hypovascularity for diagnosing malignancy.

摘要

目的

尽管内镜超声引导下细针抽吸术(EUS-FNA)是诊断胰腺病变的金标准,但它的阴性预测值并不理想。我们的目的是评估对比增强超声(CED-EUS)和应变比超声弹性成像(SR-E-EUS)在鉴别胰腺实性病变方面的应用价值。

方法

47 例患者(男 27 例,女 20 例,70±11 岁)连续参与了这项单中心前瞻性研究。他们接受了 EUS、SR-E-EUS、CEDEUS 联合 SonoVue(®)和 EUS-FNA。最终诊断基于 EUS-FNA 的组织学评估和/或手术标本,如有,并进行至少 6 个月的随访。

结果

47 个局灶性胰腺病变中,13 个(28%)为良性,34 个(72%)为恶性。恶性肿瘤患者年龄更大(70±11 岁 vs. 61±8 岁,P=0.003),病变更大(34±12 毫米 vs. 22±11 毫米,P=0.03)。恶性病变的 SR-E-EUS 值更高(31±32 与 8±9,P=0.001),且更倾向于低血流灌注模式(93%与 33%,P<0.001)。Logistic 回归分析确定,只有低血流灌注(OR=2.6,95%CI:1.5-130,P=0.02)是恶性肿瘤的独立预测因素。SR-E-EUS 的 ROC 分析得到了一个最佳的截断值为 8(AUC 0.91,95%CI:0.74-0.98),以区分良恶性病变。EUS-FNA、SR-E-EUS 和 CED-EUS 的诊断恶性肿瘤的敏感性(分别为 79%、90%和 93%)和特异性(分别为 85%、75%和 67%)差异无统计学意义。通过对 EUS-FNA 不确定的亚组(9 例,19%)进行分析,SR-E-EUS>8 和低血流灌注的敏感性分别为 80%和 100%,特异性分别为 67%和 67%。

结论

CED-EUS 和 SR-E-EUS 的临床应用价值仍存在疑问。CED-EUS 和 SR-E-EUS 的准确性与 EUS-FNA 相似。低血流灌注是恶性肿瘤的独立预测因素。EUS-FNA 不确定的患者可以从 CED-EUS 中受益,因为低血流灌注对诊断恶性肿瘤的敏感性很高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/210891a14dd9/EUS-1-143-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/7f53b731efa6/EUS-1-143-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/c1bd50db3dfc/EUS-1-143-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/06a637464fc8/EUS-1-143-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/9be61e8b1e1d/EUS-1-143-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/210891a14dd9/EUS-1-143-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/7f53b731efa6/EUS-1-143-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/c1bd50db3dfc/EUS-1-143-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/06a637464fc8/EUS-1-143-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/9be61e8b1e1d/EUS-1-143-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eab/4062225/210891a14dd9/EUS-1-143-g006.jpg

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