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Identifying Quantitative Enhancement-based Imaging Biomarkers in Patients with Colorectal Cancer Liver Metastases Undergoing Loco-regional Tumor Therapy

Title
Identifying Quantitative Enhancement-based Imaging Biomarkers in Patients with Colorectal Cancer Liver Metastases Undergoing Loco-regional Tumor Therapy [electronic resource].
ISBN
9781085577854
Published
Ann Arbor : ProQuest Dissertations & Theses, 2019.
Physical Description
1 online resource (50 p.)
Local Notes
Access is available to the Yale community.
Notes
Source: Dissertations Abstracts International, Volume: 81-02, Section: B.
Advisor: Schlachter, Todd;Chapiro, Julius.
Access and use
Access restricted by licensing agreement.
This item is not available from ProQuest Dissertations & Theses.
Summary
The purpose of this study was to test and compare the ability of radiologic measurements of lesion diameter, volume, and enhancement on baseline magnetic resonance (MR) images to be predictors of overall survival (OS) and markers of treatment response in patients with liver-dominant colorectal cancer metastases undergoing loco-regional tumor therapies.This retrospective study included 88 patients with colorectal cancer (CRC) liver metastases, treated with transarterial chemoembolization (TACE) or Y90 transarterial radioembolization (TARE) between 2001 and 2014. All patients received contrast-enhanced MRI prior to therapy. Semi-automated whole liver and tumor segmentations of three dominant lesions were performed on baseline MRI to calculate total tumor volume (TTV) and total liver volumes (TLV). Quantitative 3D analysis was performed to calculate enhancing tumor volume (ETV), enhancing tumor burden (ETB, calculated as ETV/TLV), enhancing liver volume (ELV), and enhancing liver burden (ELB, calculated as ELV/TLV). Overall and enhancing tumor diameters were also measured. Response assessment was analyzed in a subset of 63 patients who received 1-month MRI follow-up imaging using RECIST, mRECIST, change in ELV (deltaELV), vRECIST and qEASL. A modified Kaplan-Meier method was used to determine appropriate cutoff values to stratify patients based on these metrics. The predictive value of each parameter was assessed by Kaplan-Meier survival curves as well as univariate and multivariate cox proportional hazard models (statistical significance defined as p < .05).In baseline imaging analysis, all methods except ELB achieved statistically significant separation of survival curves. Multivariate analysis showed a HR of 2.1 (95% CI 1.3-3.4, p=0.004) for enhancing tumor diameter, HR 1.7 (95% CI 1.1-2.8, p=0.04) for TTV, HR 2.3 (95% CI 1.4-3.9, p<0.001) for ETV, and HR 2.4 (95% CI 1.4-4.0, p=0.001) for ETB. Among treatment response assessment methods, only vRECIST achieved statistically significant separation of survival curves and gave a HR of 2.1 (95% CI 1.1-4.0, p=0.02).In conclusion, tumor enhancement of CRC liver metastases on baseline MR imaging is strongly associated with patient survival after loco-regional tumor therapy, suggesting that ETV and ETB are better prognostic indicators than non-enhancement based and one-dimensional based markers. However, while volumetric-based methods are superior to 1D methods, enhancement-based methods of treatment response assessment were not successful in predicting survival. A potential implication of these findings as novel staging markers warrants prospective validation.
Variant and related titles
Dissertations & Theses @ Yale University.
Format
Books / Online / Dissertations & Theses
Language
English
Added to Catalog
January 17, 2020
Thesis note
Thesis (M.D.)--Yale University, 2019.
Subjects
Also listed under
Yale University. School of Medicine.
Citation

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