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This collection consists of DICOM images and DICOM Segmentation Objects (DSOs) for 198 197 patients with Colorectal Liver Metastases (CRLM). The collection consists of a large, single-institution consecutive series of patients that underwent resection of CRLM and matched preoperative computed tomography (CT) scans for quantitative image analysis. Inclusion criteria were (a) pathologically confirmed resected CRLM, (b) available data from pathologic analysis of the underlying non-tumoral liver parenchyma and hepatic tumor, (c) available preoperative conventional portal venous contrast-enhanced multi-detector computed tomography (MDCT) performed within 6 weeks of hepatic resection. Patients with 90-day mortality or that had less than 24 months of follow-up were excluded. Additionally, because pathologic and radiographic alterations of the non-tumoral liver parenchyma caused by hepatic artery infusion (HAI) of chemotherapy are not well described, any patient who received preoperative HAI was excluded. Finally, to obtain the most accurate future liver remnant (FLR), patients who underwent either local tumor ablation, more than 3 wedge resections, or had no visible tumor on preoperative imaging were excluded. The corresponding clinical dataset provides the variables collected including demographic, pathologic and survival data along with a data dictionary.

This dataset is further described in the following publication:

Simpson AL, Doussot A, Creasy JM, et al. Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer. Ann Surg Oncol. 2017;24(9):2482-2490. doi:10.1245/s10434-017-5896-1

The CT images were extracted from PACS and de-identified via institutional approved and a HIPAA compliant method. The regions of interest (e.g., tumor, liver, vessels) were delineated from the scan using Scout software. Our informatics team converted the native MHD segmentation files into a readable and TCIA compliant DSO format.  

Dataset:

The dataset inside a subject folder is organized as follows:

• Comprised of Original DICOM CTs and Segmentations for each subject. The segmentations include "Liver", "Liver_Remnant" (liver that will remain after surgery based on a preoperative CT plan), "Hepatic" and "Portal" veins, and "Tumor_x", where "x" denotes the various tumor occurrences in the case

The DSO segmentations are verified for all cases. Case "CRLM-CT-1074" was scanned with the subject in a prone (laying on stomach) position, so the images are in a different orientation than usual.