Evidence map›Paper›PMID 29696193›Full record

ArticleContemporary clinical trials communications2017

A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT).

Martin Reinhardt, Philipp Brandmaier, Daniel Seider, Marina Kolesnik, Sjoerd Jenniskens, Roberto Blanco Sequeiros, Martin Eibisberger, Philip Voglreiter, Ronan Flanagan, Panchatcharam Mariappan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2017. 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
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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Computational Modeling of Microwave Tumor Ablation.Bioengineering (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Software-based planning of ultrasound and CT-guided percutaneous radiofrequency ablation in hepatic tumors.International journal of computer assisted radiology and surgery · 2021
    Article
  9. Heating technology for malignant tumors: a review.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2020
    Review
  10. 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

13 authors at 6 institutions in 4 countries.

Martin ReinhardtDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Germany.
Philipp BrandmaierDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Germany.
Daniel SeiderDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Germany.
Marina KolesnikFraunhofer Institute for Applied Information Technology FIT, Germany.
Sjoerd JenniskensDepartment of Diagnostic and Interventional Radiology, University Hospital Nijmegen, The Netherlands.
Roberto Blanco SequeirosMedical Imaging Centre of Southwest Finland, Turku University Hospital, Finland.
Martin EibisbergerDepartment of Surgery, Medical University Graz, Austria.
Philip VoglreiterGraz University of Technology, Institute of Computer Graphics and Vision, Austria.
Ronan FlanaganNUMA Engineering Services Ltd., Louth, Ireland.
Panchatcharam MariappanNUMA Engineering Services Ltd., Louth, Ireland.
Harald BusseDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Germany.
Michael MocheDepartment of Diagnostic and Interventional Radiology, University Hospital Leipzig, Germany.
ClinicIMPPACT Study Group
University Hospital Leipzig · DEFraunhofer Institute for Applied Information Technology · DEGraz University of Technology · ATMedical University of Graz · ATRadboud University Nijmegen · NLTurku University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRadio-frequency ablation (RFA) is a promising minimal-invasive treatment option for early liver cancer, however monitoring or predicting the size of the resulting tissue necrosis during the RFA-procedure is a challenging task, potentially resulting in a significant rate of under- or over treatments. Currently there is no reliable lesion size prediction method commercially available.

objectivesClinicIMPPACT is designed as multicenter-, prospective-, non-randomized clinical trial to evaluate the accuracy and efficiency of innovative planning and simulation software. 60 patients with early liver cancer will be included at four European clinical institutions and treated with the same RFA system. The preinterventional imaging datasets will be used for computational planning of the RFA treatment. All ablations will be simulated simultaneously to the actual RFA procedure, using the software environment developed in this project. The primary outcome measure is the comparison of the simulated ablation zones with the true lesions shown in follow-up imaging after one month, to assess accuracy of the lesion prediction. DISCUSSION: This unique multicenter clinical trial aims at the clinical integration of a dedicated software solution to accurately predict lesion size and shape after radiofrequency ablation of liver tumors. Accelerated and optimized workflow integration, and real-time intraoperative image processing, as well as inclusion of patient specific information, e.g. organ perfusion and registration of the real RFA needle position might make the introduced software a powerful tool for interventional radiologists to optimize patient outcomes.

Indexed as

BF, Blood flowBV, Blood volumeCT, Computed tomographyEU, European UnionHCC, Hepatocellular carcinomaIMPPACT, Intervention Modelling, Planning and Proof for Ablation Cancer TreatmentLesion predictionLiverPerfusion CTRFARFA, Radio frequency ablationSegmentationUS, Ultrasound

Identifiers

PMID29696193
PMCPMC5898513
OpenAlexW2750363060

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.