metadata
datasets:
- name: Anterior Cervical Discectomy Dataset (ACD)
- description: >-
A high-quality dataset for AI model development in Anterior Cervical
Discectomy (ACD), featuring clinical, imaging, and surgical data to
advance research in automated image analysis, surgical planning, and
outcome prediction.
- license: Apache 2.0
- tags:
- medical-imaging
- spine-surgery
- segmentation
- surgical-planning
- AI-healthcare
- languages:
- en
🎯 Anterior Cervical Discectomy Dataset (ACD)
🎯 Overview
The Anterior Cervical Discectomy (ACD) Dataset is designed for research in AI applications for spine surgery.
📊 Dataset Summary
| Feature | Details |
|---|---|
| 🏥 Clinical Data | 1200 patient records with demographic, medical, and surgical history. |
| 🧠 Imaging Data | High-resolution CT and MRI scans across pre-operative, intra-operative, and post-operative stages. |
| 🎯 Annotations | Paths to synthetic segmentations for spinal structures and annotations by expert spine surgeons. |
| ⚙️ Surgical Data | Surgical approach, implant type, disc herniation level, and follow-up notes. |
| 📂 File Formats | Metadata in CSV and imaging data in simulated NIfTI paths. |
💡 Features
1. Clinical Data
- Patient demographics: Age, sex, weight, height.
- Medical history: Comorbidities, previous surgeries.
- Surgical details: Approach, level of disc herniation, implant type.
2. Imaging Data
- Modalities: CT and MRI.
- Imaging protocols: T1-weighted, T2-weighted, and T2-FLAIR.
- Scan stages: Pre-operative, intra-operative, post-operative.
- Scanner metadata: Manufacturer and model.
3. Surgical and Post-Operative Data
- Disc degeneration grade, spinal stenosis, and herniation presence.
- Surgical outcome classification: Successful or with complications.
- Follow-up notes summarizing patient recovery or issues.
🔍 Usage
This dataset is suitable for:
- Automated Segmentation: Efficient segmentation of vertebrae, discs, and spinal structures.
- Disease Classification: Detection of disc herniation, spinal stenosis, and degeneration.
- Outcome Prediction: Prediction of post-operative success and complications.
🛠️ File Organization
- Main CSV: Contains metadata for all patient cases.
- Synthetic Images: Simulated paths for pre-operative, intra-operative, and post-operative scans.
- Annotations: Placeholder paths for potential spinal structure segmentations.
🎨 Visual Example
Below is an example row from the dataset:
| Feature | Example Value |
|---|---|
| Patient_ID | P0001 |
| Age | 45 |
| Imaging Modality | MRI |
| Disc Degeneration Grade | Moderate |
| Spinal Stenosis | Yes |
| Surgical Outcome | Successful |
| Pre_Op_Image_Path | /simulated/path/P0001_pre_op_image.nii |
📜 Citation
If you use this dataset, please cite it as follows:
💬 Contact
For inquiries, contact the dataset maintainer:
📧 A Taylor
🔒 Licensing
This dataset is licensed under Apache 2.0