The Longitudinal Abdominal CT Dataset with Expert-Validated Liver and Metastasis Segmentations

A longitudinal collection of contrast-enhanced abdominal CT scans was retrospectively assembled from 54 patients with liver metastases who underwent systemic chemotherapy. Each case includes:• CT.nii — preprocessed contrast-enhanced CT volume (NIfTI format) • LiverMask.nii — expert-validated liver segmentation • MetastasisMask.nii — expert-validated metastasis segmentation we have added the imaging acquisition dates and scan intervals to the accompanying metadata.csv file. This enhancement enables more precise longitudinal timing analysis while preserving patient anonymity. This dataset provides a unique resource for developing and evaluating methods in liver segmentation, deformable image registration, and longitudinal tumor tracking. **Ethics statement:** All procedures involving human participants were approved by the Ethics Committee of Al-Zahra Hospital, Isfahan University of Medical Sciences (IR.MUI.DHMT.REC.1402.054). Written informed consent was waived due to the retrospective nature of the study and complete anonymization of data. **Funding:** This work was supported by the Vice-Chancellery for Research and Technology, Isfahan University of Medical Sciences (Grant No. 3402504). **License:** This dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing unrestricted use, distribution, and reproduction with appropriate citation. **Citation:** For reference, please cite our publication below. For any further information, please contact us. Valipour Z, Rabbani H, Vard A, Jafarpishe M. Evaluation of Liver Metastasis Volume Changes in Longitudinal CT images Using Statistical Modeling and Adversarial Image Registration Networks. Results in Engineering. 2025 Dec 13:108734. **Contact Information:** Hossein Rabbani (Corresponding Author) – [e-mail] Zahra Valipour – [e-mail]