当前研究的目的是比较全自动软件与人类专家对单体素质子磁共振波谱 (1H-MRS) 谱在乳腺病变评估中的解释的性能。在 3-T 正电子发射断层扫描-MRI 扫描仪上连续采集 74 名患者的乳腺磁共振成像 (MRI)（包括对比增强 T1 加权、T2 加权和扩散加权成像）和 1H-MRS 图像，然后自动采集导入 SpecTec-ULR 1.1 软件 (LifeTec Solutions GmbH) 并进行分析。随后的所有 117 个光谱均由两名不知情的放射科医生独立分析和解释。至少24个月的影像学随访的组织病理学作为参考标准。计算所有测量参数的非参数 Spearman 相关系数（信噪比 [SNR] 和总胆碱积分 [tCho]）、通过和 Bablok 回归以及接受者操作特征分析，以评估测试诊断性能以及比较自动读取和手动读取。基于 74 名患者的 117 个光谱，tCho SNR 和积分的曲线下面积分别为 0.768 至 0.814 和 0.721 至 0.784，以区分良性和恶性组织。这两种方法都没有显示出测量之间的显着差异（自动与人类专家阅读器，p > 0.05），与单变量 Spearman 等级相关系数以及 Passing 和 Bablok 回归分析的结果一致。结论是，这项试点研究表明，来自乳腺 MRI 的 1H-MRS 数据可以通过 SpecTec-ULR 1.1 软件自动导出和解释。该软件的诊断性能并不逊于人类专家阅读器。© 2023 作者。约翰·威利 (John Wiley) 出版的《生物医学中的核磁共振》

The aim of the current study was to compare the performance of fully automated software with human expert interpretation of single-voxel proton magnetic resonance spectroscopy (1H-MRS) spectra in the assessment of breast lesions. Breast magnetic resonance imaging (MRI) (including contrast-enhanced T1-weighted, T2-weighted, and diffusion-weighted imaging) and 1H-MRS images of 74 consecutive patients were acquired on a 3-T positron emission tomography-MRI scanner then automatically imported into and analyzed by SpecTec-ULR 1.1 software (LifeTec Solutions GmbH). All ensuing 117 spectra were additionally independently analyzed and interpreted by two blinded radiologists. Histopathology of at least 24 months of imaging follow-up served as the reference standard. Nonparametric Spearman's correlation coefficients for all measured parameters (signal-to-noise ratio [SNR] and integral of total choline [tCho]), Passing and Bablok regression, and receiver operating characteristic analysis, were calculated to assess test diagnostic performance, as well as to compare automated with manual reading. Based on 117 spectra of 74 patients, the area under the curve for tCho SNR and integrals ranged from 0.768 to 0.814 and from 0.721 to 0.784 to distinguish benign from malignant tissue, respectively. Neither method displayed significant differences between measurements (automated vs. human expert readers, p > 0.05), in line with the results from the univariate Spearman's rank correlation coefficients, as well as the Passing and Bablok regression analysis. It was concluded that this pilot study demonstrates that 1H-MRS data from breast MRI can be automatically exported and interpreted by SpecTec-ULR 1.1 software. The diagnostic performance of this software was not inferior to human expert readers.© 2023 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.