LSMA-PQR: Lumbar Spine Multi-view Annotations with Pfirrmann grading, Quantitative measurements and structured Radiological reports

A clinically curated multi‑view lumbar MRI dataset for segmentation, grading, and quantitative analysis. Contains T1‑ and T2‑weighted axial and sagittal scans for 515 patients (4,120 images total: 3,090 axial, 1,030 sagittal) at 384×384 resolution. Each image is annotated for seven anatomical structures across complementary imaging planes: axial view captures intervertebral discs (IVD), posterior elements (PE), and spinal canal (SC) at three clinically relevant levels (L3-L4, L4-L5, L5-S1), while sagittal view depicts vertebral bodies, intervertebral discs, sacrum, and longitudinal spinal canal in mid-sagittal cross-section.

Quantitative degeneration assessment includes:
- 1,545 radiologist-validated Pfirrmann grades (515 patients × 3 disc levels) representing standardized MRI-based disc degeneration severity (Grade 1-5 scale)
- 1,545 intervertebral disc height measurements with pixel-coordinate provenance (mean: L3-L4 = 10.32 ± 1.87 mm; L4-L5 = 10.15 ± 2.14 mm; L5-S1 = 8.98 ± 2.45 mm)
- Structured clinical metadata extracted from 515 radiologist reports following systematic error correction (340 transcription/semantic errors corrected across 59% of reports)

Features
- The dataset enables supervised training for anatomical structure delineation with 100% annotation completeness. Researchers should note that class IDs are view-specific and non-overlapping (axial: 0-2; sagittal: 3-6), requiring conditional class masking in multi-view fusion architectures to prevent cross-view misclassification.
- Pfirrmann grades represent ordinal categorical data (1 < 2 < 3 < 4 < 5) where prediction errors should be penalized proportionally to grade distance (predicting Grade 2 when truth is Grade 5 is clinically worse than predicting Grade 4).
- The dataset supports structure-symptom analyses by linking pixel-level anatomy to narrative pathology mentions (disc bulge: 53.7%; compression: 78.3%; herniation: 13.9%) and severity categorizations (mild: 34.3%; moderate: 22.8%; severe: 19.1%).
- It also supports co-registration of segmentation masks, degeneration grades, disc heights, and clinical descriptors.

Standardized Filenames
- Axial: {Modality}{PatientID}{DiscLevel}.png (e.g., T1_0042_D4.png)
- Sagittal: {Modality}{PatientID}_S{SliceNumber}.png (e.g., T2_0001_S8.png)

Dataset Contents
- Images Folder : Containing 4120 Images (3090 x Axial and 1030 x Sagittal Images in .png format)
- Labels in YOLO format. (4,120 YOLO .txt annotations)
- Masks (4,120 semantic segmentation masks)
- Overlay Visuals (4,120 quality control overlays (PNG))
- Pfirrmann Grading (.csv file)
- IVD Heights (.csv file)
- Radiological Notes (.csv file)

Our Dataset is free to use with a request to cite our work.