Evidence map›Paper›PMID 35941241›Full record

ArticleCardiovascular and interventional radiology2022

Analysis of Tumor Burden as a Biomarker for Patient Survival with Neuroendocrine Tumor Liver Metastases Undergoing Intra-Arterial Therapies: A Single-Center Retrospective Analysis.

Milena Miszczuk, Julius Chapiro, Duc Do Minh, Johanna Maria Mijntje van Breugel, Susanne Smolka, Irvin Rexha, Bruno Tegel, MingDe Lin, Lynn Jeanette Savic, Kelvin Hong and 2 more

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular and interventional radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Milena MiszczukDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Julius ChapiroDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Duc Do MinhDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Johanna Maria Mijntje van BreugelDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Susanne SmolkaDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Irvin RexhaDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Bruno TegelDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
MingDe LinDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Lynn Jeanette SavicDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Kelvin HongDivision of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Christos GeorgiadesDivision of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Nariman NezamiDivision of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. dr.nezami@gmail.com.ORCID http://orcid.org/0000-0002-8829-1548
Yale University · USJohns Hopkins University · USUniversity of Maryland, Baltimore · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCATS NIH HHS UL1 TR001863NCI NIH HHS R01 CA160771NIH HHS R01 CA160771
6 · The paper itself

Abstract

purposeTo assess the value of quantitative analysis of tumor burden on baseline MRI for prediction of survival in patients with neuroendocrine tumor liver metastases (NELM) undergoing intra-arterial therapies. MATERIALS AND

methodsThis retrospective single-center analysis included 122 patients with NELM who received conventional (n = 74) or drug-eluting beads, (n = 20) chemoembolization and radioembolization (n = 28) from 2000 to 2014. Overall tumor diameter (1D) and area (2D) of up to 3 largest liver lesions were measured on baseline arterially contrast enhanced MR images. Three-dimensional quantitative analysis was performed using the qEASL tool (IntelliSpace Portal Version 8, Philips) to calculate enhancing tumor burden (the ratio between enhancing tumor volume and total liver volume). Based on Q-statistics, patients were stratified into low tumor burden (TB) or high TB.

resultsThe survival curves were significantly separated between low TB and high TB groups for 1D (p < 0.001), 2D (p < 0.001) and enhancing TB (p = 0.008) measurements, with, respectively, 2.7, 2.6 and 2.2 times longer median overall survival (MOS) in the low TB group (p < 0.001, p < 0.001 and p = 0.008). Multivariate analysis showed that 1D, 2D, and enhancing TB were independent prognostic factors for MOS, with respective hazard ratios of 0.4 (95%CI: 0.2-0.6, p < 0.001), 0.4 (95%CI: 0.3-0.7, p < 0.001) and 0.5 (95%CI: 0.3-0.8, p = 0.003).

conclusionThe overall tumor diameter, overall tumor area, and enhancing tumor burden are strong prognostic factors of overall survival in patients with neuroendocrine tumor liver metastases undergoing intra-arterial therapies.

Indexed as

Chemoembolization, TherapeuticLiver NeoplasmsNeuroendocrine TumorsBiomarkersHumansRetrospective StudiesTumor BurdenBiomarkers3DIntra-arterial therapyNeuroendocrine tumorsqEASLSurvivalTumor burdenVolumetric assessment

Identifiers

PMID35941241
PMCPMC9587516
OpenAlexW4292283709

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.