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