Department of Radiology, Sisli Hamidiye Etfal Training and Research Hospital, Istanbul, Turkey.
J Coll Physicians Surg Pak. 2021 Sep;31(9):1024-1029. doi: 10.29271/jcpsp.2021.09.1024.
To compare the effect of different quantification methods of ADC values in the evaluation of breast lesions and compare contralateral normal breast tissue ADC value by calculating ADC ratios.
Descriptive study. Place and Duration of the Study: Sisli Etfal Training and Research Hospital, Turkey, between February 2019 and December 2020.
Two hundred and forty-six breast MRI scans with DWI of the patients with biopsy proven unilateral breast lesions were studied. ADC measurements were done by placing ROI. Two ADC values and two ADC ratios were obtained by different methods. The diagnostic accuracies of these four techniques were compared.
Mean ADC values and ratios of benign and malignant lesions were statistically significant in all of four methods to quantify ADC (p< 0.001). Highest positive value and negative predictive value, and diagnostic accuracy rates were achieved when the most restricted part ADC value was calculated. However; highest sensitivity rate and negative predictive value were achieved by calculating the ratio of darkest point ADC to contralateral breast tissue. Positive predictive value, negative predictive value, and diagnostic accuracy rate of calculated ADC values and ratios were higher when lesions were larger than the mean size (3.15 mm2).
Highest diagnostic accuracy rate was obtained with most restricted part ADC value. Obtained ratios by calculating contralateral breast tissue ADC value did not improve the diagnostic accuracy rate. Positive and negative predictive values and diagnostic accuracy rates of ADC values and ratios increased as the lesion size increased. Key Words: Breast mass, Diffusion weighted imaging, ADC value, ADC ratio, Normalised ADC.
比较不同 ADC 值量化方法在评估乳腺病变中的效果,并通过计算 ADC 比值比较对侧正常乳腺组织的 ADC 值。
描述性研究。地点和研究时间:土耳其 Sisli Etfal 培训和研究医院,2019 年 2 月至 2020 年 12 月。
研究了 246 例经活检证实为单侧乳腺病变的患者的乳腺 MRI 扫描和 DWI。通过放置 ROI 进行 ADC 测量。通过不同的方法获得了两种 ADC 值和两种 ADC 比值。比较了这四种技术的诊断准确性。
在所有四种量化 ADC 的方法中,良性和恶性病变的平均 ADC 值和比值均具有统计学意义(p<0.001)。当计算最受限制的 ADC 值时,获得了最高的阳性值和阴性预测值以及诊断准确率。然而,通过计算对侧乳腺组织 ADC 的最暗点 ADC 比值,获得了最高的敏感性率和阴性预测值。当病变大于平均大小(3.15mm2)时,计算的 ADC 值和比值的阳性预测值、阴性预测值和诊断准确率更高。
最受限制的 ADC 值获得了最高的诊断准确率。通过计算对侧乳腺组织 ADC 值获得的比值并未提高诊断准确率。随着病变大小的增加,ADC 值和比值的阳性和阴性预测值以及诊断准确率均增加。关键词:乳腺肿块、弥散加权成像、ADC 值、ADC 比值、归一化 ADC。