Evidence map›Paper›PMID 25337440›Full record

ArticleJournal of clinical imaging science2014

Initial Experience of Utilizing Real-Time Intra-Procedural PET/CT Biopsy.

Carina Mari Aparici, Rizwan Aslam, Aung Zaw Win

Abstract read
In one paragraph

Article in Journal of clinical imaging science, 2014. 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
–field-weighted citation impact
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.

  1. Diagnostic performance of real-time robotic arm-assistedEuropean journal of nuclear medicine and molecular imaging · 2019
    Trial
  2. Review
  3. Comparison Between CBCT and Fusion PET/CT-CBCT Guidance for Lung Biopsies.Cardiovascular and interventional radiology · 2021
    Observational
  4. Real-time intraproceduralThe British journal of radiology · 2017
    Article
  5. 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

3 authors.

Carina Mari ApariciDepartment of Radiology, University California San Francisco, California, USA.
Rizwan AslamDepartment of Radiology, University California San Francisco, California, USA.
Aung Zaw WinSan Francisco Veterans Affairs Medical Center, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNonreal-time Positron Emission Tomography/Computed Tomography (PET/CT) biopsies that use the image co-registration of a prior PET with an intra-procedural CT have been reported. The aim of this study was to report the initial experience of performing real-time intra-procedural PET/CT-guided biopsies. MATERIALS AND

methodsAll patients (n = 4) had a prior PET/CT examination of the concerning lesion and no significant CT correlate. On the day of the biopsy, 5 mCi of 18F-fluorodeoxyglucose (FDG) or NaF18 was intravenously injected. After 60 min of biodistribution of the molecular probe, PET/CT images were obtained in a limited one bed position over the region of the concerning lesion to be biopsied.

resultsOne patient had a mesenteric mass and the other three had bone lesions, one located in the rib and two in the iliac bone. The pathology report revealed that two lesions (50%) were malignant and two lesions (50%) were benign. The results of the biopsy changed management in all cases. There was 0% complication rate.

conclusionsNo additional software or hardware is required to perform real-time intra-procedural PET/CT-guided biopsies. It can optimize the yield, especially in cases where there are no anatomical abnormalities. Real-time intra-procedural PET/CT biopsy may have benefits over conventional biopsy techniques in terms of accuracy.

Indexed as

BiopsyfluorodeoxyglucoseNaF-18positron emission tomography/computed tomography

Identifiers

PMID25337440
PMCPMC4204304

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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.