Evidence map›Paper›PMID 35632302›Full record

ReviewSensors (Basel, Switzerland)2022

Review of Thermal and Physiological Properties of Human Breast Tissue.

Jeantide Said Camilleri, Lourdes Farrugia, Sergio Curto, Dario B Rodrigues, Laura Farina, Gordon Caruana Dingli, Julian Bonello, Iman Farhat, Charles V Sammut

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 47 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

9 authors at 5 institutions in 4 countries.

Jeantide Said CamilleriDepartment of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0003-3425-2903
Lourdes FarrugiaDepartment of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.
Sergio CurtoDepartment of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-3073-1117
Dario B RodriguesDepartment of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD 21201, USA.ORCID 0000-0001-6805-5989
Laura FarinaTranslational Medical Device Lab, National University of Ireland Galway, H91 TK33 Galway, Ireland.ORCID 0000-0002-1571-8037
Gordon Caruana DingliDepartment of Surgery, Mater Dei Hospital, MSD 2090 Msida, Malta.
Julian BonelloDepartment of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0002-1298-7645
Iman FarhatDepartment of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.
Charles V SammutDepartment of Physics, Faculty of Science, University of Malta, MSD 2080 Msida, Malta.ORCID 0000-0002-8138-3052
University of Malta · MTErasmus MC Cancer Institute · NLMater Dei Hospital · MTOllscoil na Gaillimhe – University of Galway · IEUniversity of Maryland, Baltimore · US

Funding

European Cooperation in Science and Technology CA17115 - MyWAVEHorizon 2020 research and innovation programme under the Marie Sklodowska-Curie 845645Research Innovation and Development Trust, University of Malta Hyper4B
6 · The paper itself

Abstract

Electromagnetic thermal therapies for cancer treatment, such as microwave hyperthermia, aim to heat up a targeted tumour site to temperatures within 40 and 44 °C. Computational simulations used to investigate such heating systems employ the Pennes' bioheat equation to model the heat exchange within the tissue, which accounts for several tissue properties: density, specific heat capacity, thermal conductivity, metabolic heat generation rate, and blood perfusion rate. We present a review of these thermal and physiological properties relevant for hyperthermia treatments of breast including fibroglandular breast, fatty breast, and breast tumours. The data included in this review were obtained from both experimental measurement studies and estimated properties of human breast tissues. The latter were used in computational studies of breast thermal treatments. The measurement methods, where available, are discussed together with the estimations and approximations considered for values where measurements were unavailable. The review concludes that measurement data for the thermal and physiological properties of breast and tumour tissue are limited. Fibroglandular and fatty breast tissue properties are often approximated from those of generic muscle or fat tissue. Tumour tissue properties are mostly obtained from approximating equations or assumed to be the same as those of glandular tissue. We also present a set of reliable data, which can be used for more accurate modelling and simulation studies to better treat breast cancer using thermal therapies.

Indexed as

Breast NeoplasmsHyperthermia, InducedBody Temperature RegulationComputer SimulationFemaleHumansThermal Conductivitybreast cancerbreast tissuePennes bioheat equationphysiological propertiesthermal properties

Identifiers

PMID35632302
PMCPMC9143271
OpenAlexW4281253705

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.