Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma

Abstract RECIST v1.1 has limitations in evaluating progression. We assessed Dynamic Constrast Enhanced Computed Tomography (DCE-CT) identified Blood Volume (BV) for the evaluation of progressive disease (PD) in patients with metastatic renal cell carcinoma (mRCC). BV was quantified prospectively at...

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Autores principales: Aska Drljevic-Nielsen, Finn Rasmussen, Jill Rachel Mains, Kennet Thorup, Frede Donskov
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Publicado: Nature Portfolio 2021
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spelling oai:doaj.org-article:7f96e8cb32084215b1cde863c1ebe68b2021-12-02T18:37:11ZBlood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma10.1038/s41598-021-99122-12045-2322https://doaj.org/article/7f96e8cb32084215b1cde863c1ebe68b2021-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-99122-1https://doaj.org/toc/2045-2322Abstract RECIST v1.1 has limitations in evaluating progression. We assessed Dynamic Constrast Enhanced Computed Tomography (DCE-CT) identified Blood Volume (BV) for the evaluation of progressive disease (PD) in patients with metastatic renal cell carcinoma (mRCC). BV was quantified prospectively at baseline, after one month, then every three months until PD. Relative changes (ΔBV) were assessed at each timepoint compared with baseline values. The primary endpoint was Time to PD (TTP), the secondary endpoint was Time to the scan prior to PD (PDminus1). Cox proportional hazard models adjusted ΔBV for treatments and International mRCC Database Consortium factors. A total of 62 patients had analyzable scans at the PD timepoint. Median BV was 23.92 mL × 100 g−1 (range 4.40–399.04) at PD and 26.39 mL × 100 g−1 (range 8.70–77.44) at PDminus1. In the final multivariate analysis higher ΔBV was statistically significantly associated with shorter Time to PD, HR 1.11 (95% CI 1.07–1.15, P < 0.001). Also assessed at PDminus1, higher ΔBV was significantly associated with shorter time to PD, HR 1.14 (95% CI 1.01–1.28, P = 0.031). In conclusion, DCE-CT identified BV is a new image-based biomarker of therapy progression in patients with mRCC.Aska Drljevic-NielsenFinn RasmussenJill Rachel MainsKennet ThorupFrede DonskovNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Aska Drljevic-Nielsen
Finn Rasmussen
Jill Rachel Mains
Kennet Thorup
Frede Donskov
Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
description Abstract RECIST v1.1 has limitations in evaluating progression. We assessed Dynamic Constrast Enhanced Computed Tomography (DCE-CT) identified Blood Volume (BV) for the evaluation of progressive disease (PD) in patients with metastatic renal cell carcinoma (mRCC). BV was quantified prospectively at baseline, after one month, then every three months until PD. Relative changes (ΔBV) were assessed at each timepoint compared with baseline values. The primary endpoint was Time to PD (TTP), the secondary endpoint was Time to the scan prior to PD (PDminus1). Cox proportional hazard models adjusted ΔBV for treatments and International mRCC Database Consortium factors. A total of 62 patients had analyzable scans at the PD timepoint. Median BV was 23.92 mL × 100 g−1 (range 4.40–399.04) at PD and 26.39 mL × 100 g−1 (range 8.70–77.44) at PDminus1. In the final multivariate analysis higher ΔBV was statistically significantly associated with shorter Time to PD, HR 1.11 (95% CI 1.07–1.15, P < 0.001). Also assessed at PDminus1, higher ΔBV was significantly associated with shorter time to PD, HR 1.14 (95% CI 1.01–1.28, P = 0.031). In conclusion, DCE-CT identified BV is a new image-based biomarker of therapy progression in patients with mRCC.
format article
author Aska Drljevic-Nielsen
Finn Rasmussen
Jill Rachel Mains
Kennet Thorup
Frede Donskov
author_facet Aska Drljevic-Nielsen
Finn Rasmussen
Jill Rachel Mains
Kennet Thorup
Frede Donskov
author_sort Aska Drljevic-Nielsen
title Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
title_short Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
title_full Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
title_fullStr Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
title_full_unstemmed Blood Volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
title_sort blood volume as a new functional image-based biomarker of progression in metastatic renal cell carcinoma
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/7f96e8cb32084215b1cde863c1ebe68b
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