2026-10-14T19:07:20Z https://www.scidb.cn/oai

10.57760/sciencedb.38999 2026-06-16T16:27:04Z

2026-06-16 STBI Dataset: Serial Brain CT Scans for Traumatic Brain Injury, Including Detailed Image Labels, Clinical Data, and Outcome Metrics doi:10.57760/sciencedb.38999 en BackgroundThe Shiraz-TBI (STBI) dataset was collected at Rajaee Hospital in Shiraz, Iran, from traumatic brain injury (TBI) patients admitted between 2017 and 2023. It includes serial non-contrast brain CT examinations together with structured imaging labels, temporal metadata, and a multimodal clinical subset for outcome-oriented research.Data DescriptionThe dataset contains 3,602 patients and 12,155 CT studies. In total, 376,195 DICOM files were converted into 12,155 NIfTI files. The imaging data are derived from serial non-contrast head CT examinations performed during hospitalization.File structureThe resource is organized by patient, with chronologically ordered serial scans within each patient directory. The release includes:DICOM image filesNIfTI image filesstructured imaging labelstemporal metadatamultimodal clinical/outcome metadata for the clinical subsetMain imaging variablesThe annotations include:AbnormalityMarshall CT scoreSoft tissue swelling or hematoma (with side and site)PneumocephalusHydrocephalusMass effect (with subtypes)HerniationMidline shift (with quantity)Traumatic subarachnoid hemorrhageIntraventricular hemorrhageEpidural hematoma (with side and site)Subdural hematoma (with side and site)Subdural hygroma (with side and site)Contusion (with side and site)Edema (with subtypes)Skull fracture type and locationBasal cistern statusPostoperative findingsNew neurosurgical intervention visible on CTDataset organizationThe dataset is organized at the patient level. Within each patient folder, serial CT examinations are arranged chronologically to preserve temporal order and support longitudinal analysis. Along with the image files, three CSV files are provided:1. CT-based fileContains examination-level information for each CT study, including the CT sequence, imaging labels, temporal variables, and scan-level data.2. Patient-based fileContains patient-level imaging summaries derived from the serial examinations, allowing analysis at the individual patient level rather than the scan level.3. Patient-based file with clinical data (multimodal)Contains patient-level clinical, laboratory, treatment, and outcome variables (mortality and Extended Glasgow Outcome Scale) linked to the imaging data for the multimodal subset of 1,259 patients.Temporal variables and event definitionFor each CT study, study date and time were extracted from DICOM metadata. Two temporal variables were derived: accumulated time from the first CT and the time between consecutive CT scans. A patient-level surgery label and time-to-event variable were also defined. The event time was anchored to the preoperative CT, because that examination is temporally closest to the operative decision. Patients without surgery were censored at last available CT or hospital discharge.Usage NotesThis resource is useful for lesion detection, lesion subtype classification, serial progression modeling, outcome prediction, and other machine learning tasks in traumatic brain injury. Because many patients have repeated CT examinations, scans from the same patient are not statistically independent. Users should therefore split the data at the patient level rather than the scan level. The dataset is intentionally released without a fixed train-validation-test split so that users can define task-specific splits appropriate for their own modeling goals. For convenience during data transfer, the dataset has been randomly divided into multiple parts to simplify the upload and download process. The resource does not include volumetric lesion segmentation. Traumatic Brain Injury (TBI) ; Brain CT (Computed Tomography); Medical Imaging ; Multimodal Clinical Data ; Imaging Annotations Aref Andishgar Maziyar Rismani Aryan Najdi Mohammad Sina Tabiei Sina Bazmi Sareh Veysi Mahshid Zareian Jahromi Ehsan Naseri Erfan Taghi Alireza Torabi Jahromi Zohre Abbasi Seyedeh Zahra Mousavi Mehdi Kazempour Behnam Dousty Venus Basiri Mehrnoush Hesari Zahra Rastgoftar Behnam Kian Sedighe Hooshmandi Amin Niakan Hosseinali Khalili EMBARGO https://opendatacommons.org/licenses/by/1-0/ dataset Science Data Bank