| 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 |
Table 1. The sample types registered under this study are as follows:
Table 2. The samples registered under this study are as follows:
| 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 |
Table 2. The samples registered under this study are as follows:
| 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_10000297869 | Head and neck cancer | Known case of cancer - Followup | 2E0Y | Thyroid gland | N/A | Patient_234 | CECT of Head-Face-Neck-Chest | C/O Anaplastic thyroid carcinoma on lenvatinib |
| CTSMT_10000000064 | CTSM_10000298460 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity- right buccal mucosa | N/A | Patient_825 | CECT of Face-Neck-Chest | C/O CA right buccal mucosa p/o surgery and RT |
| CTSMT_10000000064 | CTSM_10000297872 | Head and neck cancer | Known case of cancer - Followup | 2B67 | Parotid gland | N/A | Patient_237 | CECT of Face & Neck, Chest. | K/C/O Mucoepidermoid ca right parotid region post op (recurrence) with right superficial parotidectomy(3/5/24) |
| CTSMT_10000000064 | CTSM_10000297875 | Head and neck cancer | Known case of cancer - Followup | 2C23 | Larynx | N/A | Patient_240 | CECT of Face-Neck-Chest | Ca glottis post RT |
| CTSMT_10000000064 | CTSM_10000298466 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity- left buccal mucosa | N/A | Patient_831 | CECT of Face-Neck-Chest | CA Left BM post op pT2N0M0 (13/09/2024) |
| CTSMT_10000000064 | CTSM_10000298469 | Head and neck cancer | Known case of cancer - Followup | 2C20 | Nasal cavity | N/A | Patient_834 | N/A | K/c/o left nasal cavity adenocarcinoma,twice operated -- palliative RT (July 2022) |
| CTSMT_10000000064 | CTSM_10000297881 | Head and neck cancer | Known case of cancer - Followup | 2B69 | Oropharynx- left tonsillar foossa | N/A | Patient_246 | CECT of Face-Neck-Chest | Carcinoma left tonsillar fossa, post CTRT |
| CTSMT_10000000064 | CTSM_10000297689 | Head and neck cancer | Suspicious of malignancy | 2B6A | Oropharynx (with local extensions) | N/A | Patient_54 | CECT of Face & Neck. | ca oropharynx recurrence. |
| CTSMT_10000000064 | CTSM_10000297884 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity (left buccal mucosa, left RMT) | N/A | Patient_249 | CECT of Face-Neck-Chest | ca left Buccal mucosa |
| CTSMT_10000000064 | CTSM_10000298472 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity | N/A | Patient_837 | CECT of Face - Neck - Chest | K/C/O HNSCC oral cavity T3N2Mx, S/P Surgery and adjuvant CTRT |
| CTSMT_10000000064 | CTSM_10000297887 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity- right RMT, buccal mucosa, lateral border of tongue | N/A | Patient_252 | CECT of Face-Neck-Chest | Ca right RMT, lateral border of tongue and BM s/p composite resection +MND, clinically NED |
| CTSMT_10000000064 | CTSM_10000298475 | Head and neck cancer | Known case of cancer - Followup | 2C23 | Larynx- Right pyriformsinus | N/A | Patient_840 | CECT of Face-Neck-Chest | CA Right PFS (NKSCC) cT4aN3bM0 post radical CTRT (last dose in April 2025) |
| CTSMT_10000000064 | CTSM_10000297890 | Head and neck cancer | Known case of cancer - Followup | EE6Z | Neck | N/A | Patient_255 | CECT of Neck. | Recurrent neck fibromatosis on Sorafenib. |
| CTSMT_10000000064 | CTSM_10000298478 | Head and neck cancer | Known case of cancer - Followup | 2B65 | Oral cavity (Hard palate) | N/A | Patient_843 | CECT of Face-Neck-Chest | mucoepidermoid ca hard palate post op post RT status (2019), |
| CTSMT_10000000064 | CTSM_10000297698 | Head and neck cancer | Known case of cancer - Followup | 2B6A | Oropharynx | N/A | Patient_63 | CECT of Face & Neck and Chest | k/c of carcinoma oropharynx |
| CTSMT_10000000064 | CTSM_10000298481 | Head and neck cancer | Known case of cancer - Followup | 2C23 | Larynx- glottis(True vocal cords) | N/A | Patient_846 | CECT of Face-Neck-Chest | K/C/O CA larynx TVC s/p radical RT (Last dose in Jan 2024) |
| CTSMT_10000000064 | CTSM_10000297896 | Head and neck cancer | Known case of cancer - Followup | 2C23 | Larynx | N/A | Patient_261 | CECT of Face-Neck-Chest | CA glottis s/p RT (March 2024) |
| CTSMT_10000000064 | CTSM_10000298484 | Head and neck cancer | Known case of cancer - Followup | 2C20 | 1 Nasal cavity (Soft tissue) | N/A | Patient_849 | CECT of Face-Neck-Chest | K/C/O left nasal cavity Ca (RMS) s/p surgery and chemoradiotherapy(2016). Follow up NCCT.Clinically NAD. |
| CTSMT_10000000064 | CTSM_10000297899 | Head and neck cancer | Known case of cancer - Followup | 2B66 | Oral cavity (Left alveolus) | N/A | Patient_264 | CECT of Face-Neck-Chest | Ca left upper alveolus cT2N0, o/e 3x2 cm ulcerative lesion adjacent to left premolar |
| CTSMT_10000000064 | CTSM_10000298487 | Head and neck cancer | Known case of cancer - Followup | 2C3Z | Skin (Face) | N/A | Patient_852 | CECT of Neck, Chest | Hidradenocarcinoma of the left face post WLE with close margins |
Table 3. The experiment types registered under this study are as follows:
| 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. |
Table 4. The experiments registered under this study are as follows:
| 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_10000298341 | CTET_10000000030 | CTE_10000270868 | Derived | N/A | Axial | superio-inferior | 1 | 857 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298354 | CTET_10000000030 | CTE_10000270881 | Derived | N/A | Axial | superio-inferior | 1 | 950 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298365 | CTET_10000000030 | CTE_10000270892 | Derived | N/A | Axial | superio-inferior | 1 | 733 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298379 | CTET_10000000030 | CTE_10000270906 | Derived | N/A | Axial | superio-inferior | 1 | 946 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298392 | CTET_10000000030 | CTE_10000270919 | Derived | N/A | Axial | superio-inferior | 1 | 716 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298407 | CTET_10000000030 | CTE_10000270934 | Derived | N/A | Axial | superio-inferior | 1 | 789 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298424 | CTET_10000000030 | CTE_10000270951 | Derived | N/A | Axial | superio-inferior | 1 | 749 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298434 | CTET_10000000030 | CTE_10000270961 | Derived | N/A | Axial | superio-inferior | 1 | 775 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298449 | CTET_10000000030 | CTE_10000270976 | Derived | N/A | Axial | superio-inferior | 1 | 745 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298459 | CTET_10000000030 | CTE_10000270986 | Derived | N/A | Axial | superio-inferior | 1 | 741 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298471 | CTET_10000000030 | CTE_10000270998 | Derived | N/A | Axial | superio-inferior | 1 | 776 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298481 | CTET_10000000030 | CTE_10000271008 | Derived | N/A | Axial | superio-inferior | 1 | 743 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298493 | CTET_10000000030 | CTE_10000271020 | Derived | N/A | Axial | superio-inferior | 1 | 740 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298506 | CTET_10000000030 | CTE_10000271033 | Derived | N/A | Axial | superio-inferior | 1 | 326 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298519 | CTET_10000000030 | CTE_10000271046 | Derived | N/A | Axial | superio-inferior | 1 | 658 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298528 | CTET_10000000030 | CTE_10000271055 | Derived | N/A | Axial | superio-inferior | 1 | 161 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298540 | CTET_10000000030 | CTE_10000271067 | Derived | N/A | Axial | superio-inferior | 1 | 225 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000298549 | CTET_10000000030 | CTE_10000271076 | Derived | N/A | Axial | superio-inferior | 1 | 744 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000297637 | CTET_10000000030 | CTE_10000271093 | Derived | N/A | Axial | superio-inferior | 1 | 847 | non ionic iodinated contrast | dcm | CECT | N/A | no | non ionic iodinated contrast | yes |
| CTSM_10000297647 | CTET_10000000030 | CTE_10000271103 | Derived | N/A | Axial | superio-inferior | 1 | 823 | 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_10000270321 | HNC_data/Patient_159.zip |  Download Image |
242M |
| CTE_10000270322 | HNC_data/Patient_160.zip | Download Image |
228M |
| CTE_10000270323 | HNC_data/Patient_161.zip | Download Image |
185M |
| CTE_10000270324 | HNC_data/Patient_162.zip | Download Image |
110M |
| CTE_10000270325 | HNC_data/Patient_163.zip | Download Image |
164M |
| CTE_10000270326 | HNC_data/Patient_164.zip | Download Image |
198M |
| CTE_10000270327 | HNC_data/Patient_165.zip | Download Image |
41M |
| CTE_10000270328 | HNC_data/Patient_166.zip | Download Image |
242M |
| CTE_10000270329 | HNC_data/Patient_167.zip | Download Image |
52M |
| CTE_10000270330 | HNC_data/Patient_168.zip | Download Image |
207M |