Soo Mary Scott, Ghate Sujata V, Baker Jay A, Rosen Eric L, Walsh Ruth, Warwick Brenda N, Ramachandran A R, Nightingale Kathryn R
Department of Radiology, Breast Imaging Division, Duke University Medical Center, Box 3808, 2nd Fl., Red Zone, South Hospital, Durham, NC 27710, USA.
AJR Am J Roentgenol. 2006 May;186(5):1335-41. doi: 10.2214/AJR.05.0005.
Streaming detection is a novel sonography technique that uses ultrasonic energy to induce movement in cyst fluid that is detected on Doppler sonography. This pilot study evaluates the utility of streaming detection for differentiating cysts from solid masses in breast lesions that are indeterminate on sonography.
Thirty-nine lesions-11 simple cysts and seven solid masses (control group) and 21 masses with indeterminate findings for the diagnosis of a cyst versus a solid lesion (study group)-in 34 patients were evaluated using streaming detection. All lesions underwent cyst aspiration or biopsy (n = 35) or were diagnosed simple cysts (n = 4) on sonography. Lesion size and depth were recorded. Streaming detection software was placed on conventional sonography units. Acoustic pulses were focused on the lesion, and if fluid movement was generated, it was seen on the spectral Doppler display as velocity away from the transducer. Lesions were then aspirated or underwent biopsy, and the viscosity of the aspirated fluid was recorded. The sensitivity and specificity of the technique and the effect of cyst size, cyst depth, and fluid viscosity in diagnosing fluid-filled cysts were assessed.
Overall, 31 cysts and eight solid masses (seven benign, one carcinoma) were diagnosed in the study and control groups. Aspiration of indeterminate lesions resulted in 20 cysts and one solid mass. Lesions ranged in size from 4 to 47 mm and in depth from 4 to 29 mm. In the control group, streaming detection correctly showed nine of the 11 simple cysts (sensitivity, 82%; positive predictive value, 100%), and acoustic streaming was absent in all seven solid masses (specificity, 100%; negative predictive value, 78%). Of the indeterminate lesions, streaming detection allowed correct identification of 10 of 20 cysts (sensitivity, 50%; positive predictive value, 100%). Acoustic streaming was not detected in the one solid study group lesion. Neither cyst size or depth nor fluid viscosity had a significant effect on the ability to detect fluid.
The streaming detection technique improved differentiation of cysts from solid masses in indeterminate lesions and has potential for reducing the number of recommended cyst aspirations for the diagnosis of indeterminate breast masses.
流动检测是一种新型超声检查技术,利用超声能量促使囊肿液体内产生运动,并通过多普勒超声进行检测。这项初步研究评估了流动检测在鉴别超声检查结果不明确的乳腺病变中囊肿与实性肿块的效用。
对34例患者的39个病变进行了流动检测评估,其中包括11个单纯囊肿和7个实性肿块(对照组),以及21个在囊肿与实性病变诊断方面结果不明确的肿块(研究组)。所有病变均接受了囊肿抽吸或活检(n = 35),或在超声检查中被诊断为单纯囊肿(n = 4)。记录病变的大小和深度。将流动检测软件安装在传统超声检查设备上。将声脉冲聚焦于病变处,若产生液体流动,则在频谱多普勒显示屏上显示为远离换能器的速度。随后对病变进行抽吸或活检,并记录抽吸液的黏度。评估了该技术的敏感性和特异性,以及囊肿大小、囊肿深度和液体黏度在诊断液性囊肿中的作用。
研究组和对照组共诊断出31个囊肿和8个实性肿块(7个良性,1个癌性)。对结果不明确的病变进行抽吸后,得到20个囊肿和1个实性肿块。病变大小范围为4至47毫米,深度范围为4至29毫米。在对照组中,流动检测正确显示了11个单纯囊肿中的9个(敏感性为82%;阳性预测值为100%),所有7个实性肿块均未出现声流动(特异性为100%;阴性预测值为78%)。在结果不明确的病变中,流动检测正确识别了20个囊肿中的10个(敏感性为50%;阳性预测值为100%)。在研究组的1个实性病变中未检测到声流动。囊肿大小、深度及液体黏度对检测液体的能力均无显著影响。
流动检测技术改善了对结果不明确病变中囊肿与实性肿块的鉴别,并且有可能减少为诊断结果不明确的乳腺肿块而建议进行的囊肿抽吸次数。