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Automatic labeling of MR series using ML methods on DICOM metadata was applied to the dataset available on the PRIMAGE platform. From the 558 patients available at the PRIMAGE platform (October 2022), 300 with an MR exam at diagnosis were selected. Cases with an MR performed after initial treatment with chemotherapy and tumoral rests were also included.
MR images accounted for a high data acquisition variability, including different institutions with large heterogeneity in scanner vendors, protocols, and tumor location. MR exams were acquired with a 1.5 Tesla (n = 435) or 3 Tesla (n = 100) scanners, manufactured by either General Electric Healthcare (Signa Excite HDxt, Signa Explorer, Discovery, Genesis; n = 105); Siemens Medical (Aera, Skyra, Symphony, Avanto, Magneto Espree, TrioTim, Sonata, Spectra, Verio, Harmony; n = 318); Philips Healthcare (Intera, Achieva, Ingenia, Panorama; n = 109) or Canon (Titan; n = 3). All exams included a spin echo T2 weighted (T2wSE) or T2* weighted gradient echo (T2*wGE) sequence, with or without fat suppression (FS or STIR). Among the 535 used sequences, 307 were T2wSE, 11 T2*wGE FS, 176 T2wSE-FS, and 41 T2wSE-STIR. Chest images were obtained with respiratory synchronization. The Mean acquired FOV was 410 mm (median 440, range 225–500 mm).

Images were obtained on multiple MRI scanners, including three manufacturers and seven models (GE (Optima MR360, SIGNA Explorer, Signa, HDxt, Discovery, and MR750w), Siemens (Prisma), United Imaging United Imaging (uMR 780, uMR 660)), at either a 1.5-T or 3-T unit using a dedicated 8-/12-channel transmit/receive knee coil in neutral position. All studies included the following sequences: sagittal turbo or fast spin echo T1-weighted images and axial, coronal, and sagittal turbo or fast spin echo fat-saturated T2-weighted images. In our study, T2-weighted in sagittal plane images were obtained at a section thickness of 3–4 mm with a 1–2-mm intersection gap and a 16 × 16 field of view. Detailed parameters are presented in the Supplementary material.