Difference in strain elastosonography between benign and malignant peripheral lung lesions

IF 0.8 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Ultrasound Pub Date : 2023-09-09 DOI:10.1183/13993003.congress-2023.pa1826
Mona Saeed El-Houshy, Essam Gouda Hassanein, Ayman Ibrahim Baess, Rania Ahmad Sweed, Doaa Mokhtar Emara, Ahmed Farag Abouelnour
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Abstract

Objective: To obtain a cut off value strain ratio using strain elastography (SE) to distinguish between benign and malignant peripheral lung lesions. Methods: We recruited 101 patients with peripheral lung lesions in cross-sectional study. Sensitivity, specificity, accuracy of a cut-off value, positive predicted value (PPV), and negative predicted value (NPV) are acquired at the end of the study. Results: We evaluated strain ratios done using strain elastography targeting reference region (Ref) vs region of interest (ROI) in patients who had already been diagnosed by biopsy, histological investigation, microbiological testing, or radiological imaging. In our study, a cut off value regarding strain ratio ≥ 1.75 is considered statistically significant as malignant lesion (p < 0.001). Conclusion: Using strain elastography, a peripheral parenchymal lung lesion can be classified as malignant based on the strain ratio. Table (1):Strain ratios in patients with benign and malignant lesions Table (2):Diagnostic performance for strain ratio to discriminate Malignant (n=59) from Benign (n =42)
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肺周围病变良、恶性应变弹性超声的差异
目的:利用应变弹性成像(SE)获得临界值应变比来鉴别肺周围病变的良恶性。方法:对101例周围性肺病变患者进行横断面研究。在研究结束时获得敏感性、特异性、截断值的准确性、阳性预测值(PPV)和阴性预测值(NPV)。结果:我们评估了在已经通过活检、组织学调查、微生物检测或放射成像诊断的患者中,使用应变弹性成像靶向参考区(Ref)与感兴趣区(ROI)进行的应变比。在我们的研究中,应变比≥1.75的截断值被认为是具有统计学意义的恶性病变(p <0.001)。结论:应变弹性成像可根据应变比对肺周围实质病变进行恶性分类。表(1):良、恶性病变患者的应变比表(2):应变比对良、恶性病变的诊断效果(n=59)
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来源期刊
Ultrasound
Ultrasound RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
1.70
自引率
0.00%
发文量
55
期刊介绍: Ultrasound is the official journal of the British Medical Ultrasound Society (BMUS), a multidisciplinary, charitable society comprising radiologists, obstetricians, sonographers, physicists and veterinarians amongst others.
期刊最新文献
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