Evidence map›Paper›PMID 30045667›Full record

ArticleTechnology in cancer research & treatment2018

Effect of Tissue Inhomogeneity in Soft Tissue Sarcomas: From Real Cases to Numerical and Experimental Models.

Luca Giovanni Campana, Marco Bullo, Paolo Di Barba, Fabrizio Dughiero, Michele Forzan, Maria Evelina Mognaschi, Paolo Sgarbossa, Anna Lisa Tosi, Alessia Bernardis, Elisabetta Sieni

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Luca Giovanni Campana1 Surgical Oncology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Marco Bullo3 Department of Industrial Engineering, University of Padova, Padova, Italy.
Paolo Di Barba4 Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Fabrizio Dughiero3 Department of Industrial Engineering, University of Padova, Padova, Italy.
Michele Forzan3 Department of Industrial Engineering, University of Padova, Padova, Italy.
Maria Evelina Mognaschi4 Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Paolo Sgarbossa3 Department of Industrial Engineering, University of Padova, Padova, Italy.
Anna Lisa Tosi5 Melanoma and Sarcoma Pathology Unit, Veneto Institute of Oncology IOV-IRCCS, Padova, Italy.
Alessia Bernardis3 Department of Industrial Engineering, University of Padova, Padova, Italy.
Elisabetta Sieni3 Department of Industrial Engineering, University of Padova, Padova, Italy.ORCID 0000-0001-5297-0576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrochemotherapy is an established treatment option for patients with superficially metastatic tumors, mainly malignant melanoma and breast cancer. Based on preliminary experiences, electrochemotherapy has the potential to be translated in the treatment of larger and deeper neoplasms, such as soft tissue sarcomas. However, soft tissue sarcomas are characterized by tissue inhomogeneity and, consequently, by variable electrical characteristic of tumor tissue. The inhomogeneity in conductivity represents the cause of local variations in the electric field intensity. Crucially, this fact may hamper the achievement of the electroporation threshold during the electrochemotherapy procedure. In order to evaluate the effect of tissue inhomogeneity on the electric field distribution, we first performed ex vivo analysis of some clinical cases to quantify the inhomogeneity area. Subsequently, we performed some simulations where the electric field intensity was evaluated by means of finite element analysis. The results of the simulation models are finally compared to an experimental model based on potato and tissue mimic materials. Tissue mimic materials are materials where the conductivity can be suitably designed. The coupling of computation and experimental results could be helpful to show the effect of the inhomogeneity in terms of variation in electric field distribution and characteristics.

Indexed as

Computer SimulationElectric ConductivityElectrochemotherapyElectroporationFinite Element AnalysisHumansModels, TheoreticalSarcoma3-D modelselectric fieldelectrodeelectroporationsarcomas

Identifiers

PMID30045667
PMCPMC6071161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.