| Project Accession: | IBIAP_1000000029 |
| Title: | 3D medical imaging data in head and neck cancer patients |
| Representative Image: | |
| Description: | The comprehensive dataset specifically includes three-dimensional (3D) medical imaging data acquired from head and neck cancer patients. The primary imaging modality utilized for this collection is Computed Tomography (CT) scanning. CT scans provide detailed cross-sectional images essential for accurate diagnosis, tumor delineation, treatment planning (such as radiation therapy), and monitoring of therapeutic response in oncology. The dataset aims to serve as a high-quality resource for researchers and developers working on projects such as automated tumor segmentation, radiomics analysis, deep learning model training for prognosis prediction, and personalized treatment strategies within the domain of head and neck oncology. The detailed 3D structure captured by the CT scans allows for a more complete and spatial understanding of the disease, moving beyond traditional 2D assessments. |
| Publications: | N/A |
| Associated Codes (URL only): | N/A |
| Funding agency: | N/A |
| Grant Number: | N/A |
| Ethics Statement: | N/A |
| Any Other Information : | N/A |
| Additional File: | N/A |
| Acknowledgments: | The authors acknowledge the Department of Oncoradiology, AIIMS New Delhi, for technical and clinical support. |
| Sr.No | First name | Last name | Organization | Designation | |
|---|---|---|---|---|---|
| 1 | Amit | Gupta | amit.aiims2014@gmail.com | NCI Jhajjar, All India Institute of Medical Sciences (AIIMS), New Delhi, India | Co-Principal Investigator |
| 2 | Krithika | Rangarajan | krithikarangarajan@aiims.edu | All India Institute of Medical Sciences (AIIMS), New Delhi, India | Principal Investigator |
| 3 | Hema | Malhotra | hemamalhotraaiims.2020@gmail.com | All India Institute of Medical Sciences (AIIMS), New Delhi, India | Program Manager |
| 4 | Ashish | Rastogi | ashishrastogi.3150@gmail.com | All India Institute of Medical Sciences (AIIMS), New Delhi, India | Data Analyst |
| 5 | Rohit | Shah | rohitaiims.2024@gmail.com | All India Institute of Medical Sciences (AIIMS), New Delhi, India | D.E.O |
| Study Accession: | CTS_1000000034 |
| Title: | 3D medical imaging data in head and neck cancer patients |
| Imaging Type: | Computed Tomography (CT) |
| Imaging Sub-type: | Diagnostic Radiology |
| Summary: | The comprehensive dataset specifically includes three-dimensional (3D) medical imaging data acquired from head and neck cancer patients. The primary imaging modality utilized for this collection is Computed Tomography (CT) scanning. CT scans provide detailed cross-sectional images essential for accurate diagnosis, tumor delineation, treatment planning (such as radiation therapy), and monitoring of therapeutic response in oncology. The dataset aims to serve as a high-quality resource for researchers and developers working on projects such as automated tumor segmentation, radiomics analysis, deep learning model training for prognosis prediction, and personalized treatment strategies within the domain of head and neck oncology. The detailed 3D structure captured by the CT scans allows for a more complete and spatial understanding of the disease, moving beyond traditional 2D assessments. |
| Keywords: | Laryngeal cancer; Head and Neck cancer; CT scan |
| Additional / Any Other Information: | N/A |
| Release Date: | April 29, 2026 |
| Access Licence Type: | Open Access |
| Sample Type ID | Organism | Taxon ID | Biological Entity | Laterality | Source Tissue | Source Cell/Cell-line | Cell Organelle |
|---|---|---|---|---|---|---|---|
| CTSMT_10000000064 | Homo sapiens | 9606 | Multiple body regions | Both | N/A | N/A | N/A |
| Sample Type ID | Sample ID | Subject Type | Clinical Indication (Diagnosis) | ICD-11 Code (patient health condition) | Tumor Site | Image category/label | De-identified Patient ID | Procedure | Clinical Information |
|---|---|---|---|---|---|---|---|---|---|
| CTSMT_10000000064 | CTSM_10000298218 | Head and neck cancer | Known case of cancer - Followup | 2B67 | Parotid gland | N/A | Patient_583 | CECT of Face & Neck and chest | ca parotid post op, PORT |
| CTSMT_10000000064 | CTSM_10000298221 | Head and neck cancer | Suspicious of malignancy | 2B66 | Oral cavity (Right GBS) | N/A | Patient_586 | CECT of Face-Neck-Chest | C/o CA right buccal mucosa |
| CTSMT_10000000064 | CTSM_10000298224 | Head and neck cancer | Suspicious of malignancy | 2C30 | Skin (Left cheek) | N/A | Patient_589 | CECT of Face-Neck-Chest | Malignant melanoma left cheek post surgery. |
| CTSMT_10000000064 | CTSM_10000298227 | Head and neck cancer | Suspicious of malignancy | 2B62 | Oral cavity (left tongue) | N/A | Patient_592 | CECT of Neck, Chest, Abdomen & Pelvis. | Ca tongue, for staging |
| CTSMT_10000000064 | CTSM_10000298230 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity- left buccal | N/A | Patient_595 | CECT of Face-Neck-Chest | Left buccal cancer post RT |
| CTSMT_10000000064 | CTSM_10000298233 | Head and neck cancer | Suspicious of malignancy | 2A81 | Lymphnodes | N/A | Patient_598 | CECT of Neck, Chest, Abdomen & Pelvis. | DLBCL post RCHOP |
| CTSMT_10000000064 | CTSM_10000298236 | Head and neck cancer | Suspicious of malignancy | 2B6A | Oropharynx | N/A | Patient_601 | CECT of Face-Neck-Chest | Ca oropharynx xT4aN0 post RT, for response assessment. |
| CTSMT_10000000064 | CTSM_10000298238 | Head and neck cancer | Known case of cancer - Followup | 2B67 | Parotid gland | N/A | Patient_603 | CECT of Face, Neck & Chest | Mucoepidermoid carcinoma of parotid, post op status, PORT +, for response |
| CTSMT_10000000064 | CTSM_10000298249 | Head and neck cancer | Known case of cancer - Followup | 2C27 | Thymus | N/A | Patient_614 | CECT of Neck, Chest | Post surgical status of thymectomy |
| CTSMT_10000000064 | CTSM_10000298252 | Head and neck cancer | Suspicious of malignancy | 2B66 | Oral cavity (right buccal mucosa) | N/A | Patient_617 | CECT of Face-Neck-Chest | CA left temporal bone |
| CTSMT_10000000064 | CTSM_10000298255 | Head and neck cancer | Known case of cancer - Followup | 2D10 | Thyroid gland (Thyroid bed) | N/A | Patient_620 | CECT of Neck and Chest | N/A |
| CTSMT_10000000064 | CTSM_10000298258 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity (right buccal mucosa) | N/A | Patient_623 | CECT of Face-Neck-Chest | left buccal mucosa |
| CTSMT_10000000064 | CTSM_10000298261 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity- buccal mucosa | N/A | Patient_626 | CECT of Face-Neck-Chest | K/C/O Ca buccal mucosa, s/p surgery 31/05/2024, and post RT last till 15/10/2024. |
| CTSMT_10000000064 | CTSM_10000298264 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity (right buccal mucosa) | N/A | Patient_629 | CECT of Face-Neck-Chest | k/c/o CA oral cavity |
| CTSMT_10000000064 | CTSM_10000298267 | Head and neck cancer | Suspicious of malignancy | 2D0Y | Orbit | N/A | Patient_632 | CECT of Face & Neck. | K/C/O Orbital B cell NHL |
| CTSMT_10000000064 | CTSM_10000298270 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity (right buccal mucosa) | N/A | Patient_635 | CECT of Face-Neck-Chest | Ca right buccal mucosa- Post surgery, MND, post RT. |
| CTSMT_10000000064 | CTSM_10000298274 | Head and neck cancer | N/A | N/A | N/A | N/A | Patient_639 | CECT of Neck & Chest | C/o CA buccal mucosa on OMT |
| CTSMT_10000000064 | CTSM_10000297685 | Head and neck cancer | Suspicious of malignancy | 2B6C, 2C23 | Hypo pharynx (pyriform sinus, posterior wall); Larynx- Supraglottis | N/A | Patient_50 | CECT of Face & Neck. | ca larynx cT3N0M0 |
| CTSMT_10000000064 | CTSM_10000298276 | Head and neck cancer | Suspicious of malignancy | 2C23 | Larynx - supra glottis | N/A | Patient_641 | CECT of Neck, Chest, Abdomen & Pelvis. | CA glottis, cT3N0M0, post CTRT in November 2024. |
| CTSMT_10000000064 | CTSM_10000297688 | Head and neck cancer | Known case of cancer - Followup | 2B6A | Oropharynx (left valecullae) | N/A | Patient_53 | CECT of Face & Neck. | Ca oropharynx- for assessing disease |
| Experiment Type ID | Instrument Name | Instrument Type | Manufacturer | Model |
|---|---|---|---|---|
| CTET_10000000030 | CT-Scan Machine | Multisclice | Siemens Healthineers | Somatom Definition Edge |
| Experimental Design Summary (CTET_10000000030) |
|---|
| The CT scans included in this dataset were performed for patients diagnosed with head and neck cancer at our institute. The CT images include various body regions including face, neck, chest, abdomen and pelvis. These scans were performed at various stages of management of the cancer, including pre-treatment scans, post-radiotherapy response assessment scans, and post-operative follow-up scans. All the scans were double reported by two radiologists - first, a resident radiologist (3-6 years of experience), and second reading by a specialist onco-radiologist (more than 10 years of experience). |
| Acquired Images Annotation Description (CTET_10000000030) |
|---|
| Each CT scan in the dataset is accompanied by the summary of main findings in the corresponding radiology reports. All the scans were double reported by two radiologists - first, a resident radiologist (3-6 years of experience), and second reading by a specialist onco-radiologist (more than 10 years of experience). The findings from these reports provided in this dataset, are robust scan-level labels for each of the CT exams included in the dataset. Image and pixel-level annotations are not included in this dataset. |
| Sample ID | Experiment Type ID | Experiment ID | Image type (Original / Derived / Unknown) | Any Other Information | Image plane | Slice Progression Direction | Slice thickness (in mm) | Image Count | Contrast / Bolus ingredient | Image file format | Image modality type (contrast-enhanced or non-contrast) | Implants or devices visible in scan (yes/no) | Motion artifacts noted (yes/no) | Type of contrast agent | Use of contrast agent (yes/no) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CTSM_10000298105 | CTET_10000000030 | CTE_10000270632 | Derived | N/A | Axial | superio-inferior | 1 | 671 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298107 | CTET_10000000030 | CTE_10000270634 | Derived | N/A | Axial | superio-inferior | 1 | 838 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298110 | CTET_10000000030 | CTE_10000270637 | Derived | N/A | Axial | superio-inferior | 1 | 868 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298112 | CTET_10000000030 | CTE_10000270639 | Derived | N/A | Axial | superio-inferior | 1 | 948 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298116 | CTET_10000000030 | CTE_10000270643 | Derived | N/A | Axial | superio-inferior | 1 | 1583 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298119 | CTET_10000000030 | CTE_10000270646 | Derived | N/A | Axial | superio-inferior | 1 | 834 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298121 | CTET_10000000030 | CTE_10000270648 | Derived | N/A | Axial | superio-inferior | 1 | 820 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298124 | CTET_10000000030 | CTE_10000270651 | Derived | N/A | Axial | superio-inferior | 1 | 1759 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298126 | CTET_10000000030 | CTE_10000270653 | Derived | N/A | Axial | superio-inferior | 1 | 833 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298128 | CTET_10000000030 | CTE_10000270655 | Derived | N/A | Axial | superio-inferior | 1 | 416 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298130 | CTET_10000000030 | CTE_10000270657 | Derived | N/A | Axial | superio-inferior | 1 | 817 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298132 | CTET_10000000030 | CTE_10000270659 | Derived | N/A | Axial | superio-inferior | 1 | 841 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298134 | CTET_10000000030 | CTE_10000270661 | Derived | N/A | Axial | superio-inferior | 1 | 756 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298137 | CTET_10000000030 | CTE_10000270664 | Derived | N/A | Axial | superio-inferior | 1 | 880 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298139 | CTET_10000000030 | CTE_10000270666 | Derived | N/A | Axial | superio-inferior | 1 | 915 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298141 | CTET_10000000030 | CTE_10000270668 | Derived | N/A | Axial | superio-inferior | 1 | 860 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298143 | CTET_10000000030 | CTE_10000270670 | Derived | N/A | Axial | superio-inferior | 1 | 881 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298146 | CTET_10000000030 | CTE_10000270673 | Derived | N/A | Axial | superio-inferior | 1 | 851 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298148 | CTET_10000000030 | CTE_10000270675 | Derived | N/A | Axial | superio-inferior | 1 | 841 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298150 | CTET_10000000030 | CTE_10000270677 | Derived | N/A | Axial | superio-inferior | 1 | 966 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| Experiment ID | Image File Name (with path) | Image Preview | Image Size |
|---|---|---|---|
| CTE_10000270260 | HNC_data/Patient_98.zip | ![]() Download Image |
243M |
| CTE_10000270261 | HNC_data/Patient_99.zip | ![]() Download Image |
195M |
| CTE_10000270262 | HNC_data/Patient_100.zip | ![]() Download Image |
176M |
| CTE_10000270263 | HNC_data/Patient_101.zip | ![]() Download Image |
215M |
| CTE_10000270264 | HNC_data/Patient_102.zip | ![]() Download Image |
207M |
| CTE_10000270265 | HNC_data/Patient_103.zip | ![]() Download Image |
221M |
| CTE_10000270266 | HNC_data/Patient_104.zip | ![]() Download Image |
229M |
| CTE_10000270267 | HNC_data/Patient_105.zip | ![]() Download Image |
244M |
| CTE_10000270268 | HNC_data/Patient_106.zip | ![]() Download Image |
105M |
| CTE_10000270269 | HNC_data/Patient_107.zip | ![]() Download Image |
200M |