Evidence map›Paper›PMID 28770316›Full record

ArticleCardiovascular and interventional radiology2018

Hepatic Arterial Embolization Using Cone Beam CT with Tumor Feeding Vessel Detection Software: Impact on Hepatocellular Carcinoma Response.

F H Cornelis, A Borgheresi, E N Petre, E Santos, S B Solomon, K Brown

Open access · greenAbstract read
In one paragraph

Article in Cardiovascular and interventional radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Imaging guided percutaneous renal biopsy: do it or not?Acta bio-medica : Atenei Parmensis · 2020
    Article
  15. Basic embolization techniques: tips and tricks.Acta bio-medica : Atenei Parmensis · 2020
    Review
  16. Hepatic tumors: pitfall in diagnostic imaging.Acta bio-medica : Atenei Parmensis · 2020
    Review
  17. Article
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

6 authors at 2 institutions in 2 countries.

F H CornelisDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
A BorgheresiDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
E N PetreDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
E SantosDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
S B SolomonDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
K BrownDepartment of Radiology, Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA. brown6@MSKCC.ORG.
Memorial Sloan Kettering Cancer Center · USSorbonne Université · FR

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

purposeDedicated tumor feeding vessel detection software (TFVDS) using cone beam CT has shown a higher sensitivity to detect tumor feeding vessels during hepatic arterial embolization (HAE) of hepatocellular carcinoma (HCC) compared to 2D imaging. Our primary hypothesis was that HCC tumors treated with HAE guided by a TFVDS would show more complete response (CR) than when treated with 2D imaging alone. Secondary analysis of the impact on X-ray exposure was performed. MATERIALS AND

methodsNineteen males and 8 females (median age: 69 year, 46-85) with 44 tumors (median size: 38 mm, 6-100) treated with selective HAE between January 2013 and December 2014 were included. Exclusion criteria were: extra-hepatic supply, >4 tumors, tumor size >10 cm, and adjunctive local therapy. Baseline patient and procedure characteristics were reviewed. Differences in CR per modified Response Evaluation Criteria in Solid Tumors were assessed by univariate and multivariate analyses for tumor size, number, location, particles size, and use of TFVDS.

resultsMedian imaging follow-up was 20.1 months (2-33). Use of TFVDS (13 patients, 19 tumors) was the only factor predictive of CR (OR = 3.85 [CI95%: 1.09, 13.67], p = 0.04) on univariate analysis but not on multivariate analysis (OR = 3.26 [0.87, 12.23], p = 0.08). A higher rate of CR was observed for HAE using TFVDS guidance versus 2D imaging alone (68.4%, 13-19, vs. 36%, 9-25, p = 0.03). Median dose area product was lower when TFVDS was used (149.7 Gy.cm

conclusionsHCC embolized with TFVDS may result in improved local tumor response without increasing the dose exposure.

Indexed as

AgedAged, 80 and overCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyFemaleFollow-Up StudiesHepatic ArteryHumansImage Processing, Computer-AssistedLiver NeoplasmsMaleMiddle AgedRadiography, InterventionalTreatment OutcomeAutomated vessel trackingCone beam computed tomographyHepatic arterial embolizationTumor response

Identifiers

PMID28770316
PMCPMC7485010
OpenAlexW2740446568

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.