Evidence map›Paper›PMID 18820993›Full record

ArticleLa Radiologia medica2009

Power Doppler ultrasonography with time-signal intensity curves in monitoring hepatocellular carcinoma and liver metastases after intralesional therapy.

R Farina, F Pennisi, G Mazzone, M Pennisi, G Riva, P V Foti, C Puglisi, G C Ettorre

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

8 authors at 1 institution in 1 country.

R FarinaIstituto di Radiologia, Policlinico Universitario di Catania, Via S. Sofia 73, 95125, Catania, Italy. radfaro@hotmail.com
F Pennisi
G Mazzone
M Pennisi
G Riva
P V Foti
C Puglisi
G C Ettorre
Policlinico Universitario di Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAnalysis of time-intensity curves allows evaluation of the patterns of lesion enhancement before and after treatment. The aim of this study was to evaluate the diagnostic accuracy of time-intensity curves in monitoring intralesional therapy of focal hepatic lesions. MATERIALS AND

methodsTwenty patients underwent intralesional therapy with either radiofrequency thermal ablation or percutaneous ethanol injection. Contrast-enhanced power Doppler ultrasound with analysis of time-intensity curves was performed one day before and one day after treatment. Targeted biopsy was then obtained to confirm the imaging findings.

resultsBefore treatment, all lesions showed time-intensity curves characterised by high peaks of signal intensity and plateaus. Complete tumour necrosis, confirmed by targeted biopsy, was observed in patients showing no intralesional flow signals and time-intensity curves with low peak of signal intensity and absence of plateau after treatment. Biopsy confirmed the presence of residual neoplastic tissue in one patient exhibiting perilesional vascularity, absence of intralesional flow signals, and a time-intensity curve with high peak of signal intensity and plateau.

conclusionsAccording to our findings, time-intensity curves characterised by high peak of signal intensity and plateau might reflect the presence of perilesional or intralesional neoplastic tissue and provide important information on the effectiveness of the treatment.

Indexed as

Catheter AblationAgedAlgorithmsBiopsyCarcinoma, HepatocellularContrast MediaEthanolFemaleHumansInjections, IntralesionalLiverLiver NeoplasmsMaleMiddle AgedTreatment OutcomeUltrasonography, Doppler, ColorContrast MediaEthanol

Identifiers

PMID18820993
OpenAlexW1608847950

What OpenQuestion holds

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Registered trials

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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.