Evidence map›Paper›PMID 33175240›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

Liver tumor F-18 FDG-PET before and immediately after microwave ablation enables imaging and quantification of tumor tissue contraction.

Zihao Yan, Ramin Khorasani, Vincent M Levesque, Victor H Gerbaudo, Paul B Shyn

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Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 10 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

5 authors at 1 institution in 1 country.

Zihao YanHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-7885-8328
Ramin KhorasaniHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-2681-3574
Vincent M LevesqueDepartment of Radiology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9283-420X
Victor H GerbaudoHarvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-6252-3427
Paul B ShynHarvard Medical School, Boston, MA, USA. pshyn@bwh.harvard.edu.ORCID https://orcid.org/0000-0003-0538-2151
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePoor liver tumor visibility after microwave ablation (MWA) limits direct tumor ablation margin assessments using contrast-enhanced CT or ultrasound (US). Positron emission tomography (PET) or PET/CT may offer improved intraprocedural assessment of liver tumor ablation margins versus current imaging techniques, as

methodsThis retrospective study, conducted at a large academic medical center after Institutional Review Board approval, included 36 patients (20 men; mean age 63 [range 37-85]) who underwent PET/CT-guided MWA of 42

resultsComparing intraprocedural pre- and post-ablation PET images, mean metabolic tumor short- and long-axis diameters decreased from 21.4 to 14.9 mm [- 29%, p < 0.001, standard deviation (SD) 18%] and from 24.0 to 18.0 mm (- 24%, p < 0.001, SD 16%), respectively. The mean calculated tumor metabolic volume decreased from 10.5 to 4.6 mm

conclusionIntraprocedural PET images of

Indexed as

Fluorodeoxyglucose F18Liver NeoplasmsHumansMaleMicrowavesMiddle AgedPositron-Emission TomographyPositron Emission Tomography Computed TomographyRetrospective StudiesFluorodeoxyglucose F18Interventional oncologyLiver tumor ablationPET/CTTissue contractionTumor ablation margin

Identifiers

PMID33175240
OpenAlexW3099145350

What OpenQuestion holds

Textmetadata
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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.