Evidence map›Paper›PMID 28273793›Full record

ArticleSensors (Basel, Switzerland)2017

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor.

Marco Antonio Garduño-Ramón, Sofia Giovanna Vega-Mancilla, Luis Alberto Morales-Henández, Roque Alfredo Osornio-Rios

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 62 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

4 authors at 1 institution in 1 country.

Marco Antonio Garduño-RamónFacultad de Ingeniería, CA Mecatrónica, Universidad Autónoma de Querétaro, Campus San Juan del Río, Av. Río Moctezuma 249, Col. San Cayetano, C.P. 76807, San Juan del Río, Querétaro, Mexico. mgarduno01@alumnos.uaq.mx.
Sofia Giovanna Vega-MancillaFacultad de Ingeniería, CA Mecatrónica, Universidad Autónoma de Querétaro, Campus San Juan del Río, Av. Río Moctezuma 249, Col. San Cayetano, C.P. 76807, San Juan del Río, Querétaro, Mexico. sofiavema@hotmail.com.
Luis Alberto Morales-HenándezFacultad de Ingeniería, CA Mecatrónica, Universidad Autónoma de Querétaro, Campus San Juan del Río, Av. Río Moctezuma 249, Col. San Cayetano, C.P. 76807, San Juan del Río, Querétaro, Mexico. luis.morales@uaq.mx.
Roque Alfredo Osornio-RiosFacultad de Ingeniería, CA Mecatrónica, Universidad Autónoma de Querétaro, Campus San Juan del Río, Av. Río Moctezuma 249, Col. San Cayetano, C.P. 76807, San Juan del Río, Querétaro, Mexico. raosornio@hspdigital.org.
Autonomous University of Queretaro · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases.

Indexed as

Breast NeoplasmsBreastFemaleHumansMammographyThermographyautomatic segmentationbreast cancerinfrared thermography

Identifiers

PMID28273793
PMCPMC5375783
OpenAlexW2592376082

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.