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  • Preoperative CT and Survival Data for Patients Undergoing Resection of Colorectal Liver Metastases (Colorectal-Liver-Metastases)

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Summary

Excerpt

This collection consists of DICOM images and DICOM Segmentation Objects (DSOs) for 198 (there are only 196) 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: (There are no subfolders as described when using NBIA data retriever)

The subfolders dataset inside a subject folder are is organized as follows:

  • 'DICOMS' : The original dicom image series on which the segmentations were made.
  • 'MHD' : Segmentations stored in the mhd formatComprised 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.'DSO' : Folder with a single dicom segmentation object file containing all the segmentations.
  • 'VTK' : Segmentations in the VTK format.

The MHD and 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.

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/Filter

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Images, Segmentations (DICOM, XX.X GB)


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Clinical data (CSV)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/89096268/Colorectal%20Liver%20Metastases%20MSKCC%20Clinical%20data.xlsx?api=v2



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Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities

CT, SEG

Number of Patients196


Number of Studies197


Number of Series

394


Number of Images17836


Images Size (GB)10
Note: There are 2 studies (2 CTs/2 SEGS for pt 1065)



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

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Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form


Info
titlePublication Citation

Simpson, A. L., Doussot, A., Creasy, J. M., Adams, L. B., Allen, P. J., DeMatteo, R. P., Gönen, M., Kemeny, N. E., Kingham, T. P., Shia, J., Jarnagin, W. R., Do, R. K. G., & D’Angelica, M. I. (2017). Computed Tomography Image Texture: A Noninvasive Prognostic Marker of Hepatic Recurrence After Hepatectomy for Metastatic Colorectal Cancer. In Annals of Surgical Oncology (Vol. 24, Issue 9, pp. 2482–2490). Springer Science and Business Media LLC. https://doi.org/10.1245/s10434-017-5896-1


Info
titleTCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

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titleVersions

Version 1 (Current): Updated 2022/mm/dd

Data TypeDownload all or Query/FilterLicense
Images (DICOM, xx.x GB)


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Clinical Data (CSV)


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/89096268/Colorectal%20Liver%20Metastases%20MSKCC%20Clinical%20data.xlsx?api=v2



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