Evaluation of digital infra–red thermal imaging as an adjunctive screening method for breast carcinoma: A pilot study

Rassiwala, Muffazzal; Mathur, Poonam; Mathur, Rajkumar; Khan, Farid; Shukla, Satish; Gupta, Pradeep Kumar; Jain, Beena

doi:10.1016/j.ijsu.2014.10.010

Cited by 37 publications

(26 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…e goal of another work [24] was to compare the classification results of three different classifiers (SVM, k-NN, and Naive Bayes) and use GLCM features extracted from each thermography image; they obtained the accuracy ratio of 92.5%, which corresponded to true positive fraction of 78.6% at a false positive fraction of 0%. In another pilot study [25], digital infrared thermal imaging showed promising results and is thus well suited as a screening tool, obtaining a sensitivity of 97.6%, specificity of 99.17%, positive predictive value of 83.67%, and negative predictive value of 99.89%. Its use in combination with other laboratory and outcome assessment tools could lead to a significant improvement in the management of breast cancer.…”

Section: Comparative Discussionmentioning

confidence: 99%

“…Next, we review related papers on thermographic breast image classification [1,3,4,6,[20][21][22][23][24][25][26][27][28][29][30], which is the topic of our work. Two different kinds of neural network classifiers have been compared: a feedforward neural network and a radial basis function classifier [20].…”

Section: Introductionmentioning

confidence: 99%

“…A system was presented based on 20 gray level co-occurrence matrices with feature extraction and classification by the k-nearest neighbors method [24]. An expert system was developed based on the measured temperature gradients (ΔT) in thermograms and classified them as normal, abnormal (ΔT > 2.5, <3), and potentially having breast cancer (ΔT ≥ 3) [25].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network

Tello-Mijares

Woo

Flores

2019

Journal of Healthcare Engineering

View full text Add to dashboard Cite

Breast cancer is the most common cancer among women worldwide with about half a million cases reported each year. Mammary thermography can offer early diagnosis at low cost if adequate thermographic images of the breasts are taken. The identification of breast cancer in an automated way can accelerate many tasks and applications of pathology. This can help complement diagnosis. The aim of this work is to develop a system that automatically captures thermographic images of breast and classifies them as normal and abnormal (without cancer and with cancer). This paper focuses on a segmentation method based on a combination of the curvature function k and the gradient vector flow, and for classification, we proposed a convolutional neural network (CNN) using the segmented breast. The aim of this paper is to compare CNN results with other classification techniques. Thus, every breast is characterized by its shape, colour, and texture, as well as left or right breast. These data were used for training as well as to compare the performance of CNN with three classification techniques: tree random forest (TRF), multilayer perceptron (MLP), and Bayes network (BN). CNN presents better results than TRF, MLP, and BN.

show abstract

Section: Comparative Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network

Tello-Mijares

Woo

Flores

2019

Journal of Healthcare Engineering

View full text Add to dashboard Cite

show abstract

“…Assim como a termografia (15) , vários outros métodos de imagens têm sido aplicados na avaliação mamária, tais como mamografia, ultrassom, ressonância nuclear magnética (RNM) e cintilografia. Contudo, cada um apresenta suas vantagens e desvantagens em relação ao outro.…”

Section: Discussionunclassified

“…No entanto, ficou inviabilizada por falta de recursos técnicos e disponibilidade de profissional com especialização na área. Assim, adotou-se a termografia como um método experimental adequado para lactantes e considerado por outros autores (15) como confortável, indolor e livre de radiações (ionizantes ou não).…”

Section: Discussionunclassified

Evidências Da Mama Puerperal Por Termografia: Relato De Caso

2019

View full text Add to dashboard Cite

Objetivo: analisar a temperatura da mama puerperal utilizando termografia por infravermelho.Método: estudo realizado no Banco de Leite Humano de um Hospital de Curitiba em 2011. Selecionou-se aleatoriamente uma lactante com ingurgitamento bilateral nos quadrantes externos das mamas, e inspecionou-se a temperatura.Resultados: encontrou-se um lobo mamário macio com assimetria térmica de 1,5ºC, comparado à região contralateral, mas não se identificou assimetria térmica na temperatura geral entre as mamas.Conclusão: este caso sugere que assimetria térmica na mama puerperal está relacionada ao volume de leite nos lobos e não a disfunções ou patologias nesses lobos. O estudo abre perspectivas para aprofundamento da compreensão da fisiologia lactacional com a ampliação do grupo amostral avaliado nesta pesquisa. A termografia é uma técnica adequada às lactantes, mas requer sala apropriada, tempo para aclimatação e conhecimento da anatomia mamária.

show abstract

Long‐term analysis of irradiated skin after breast‐conserving surgery in breast cancer patients using noninvasive imaging

et al. 2021

View full text Add to dashboard Cite

Aims In patients with breast cancer, skin assessment is useful for the treatment and prevention of postoperative adverse effects of radiotherapy. This study was designed to clarify the long‐term changes in the irradiated skin of patients after breast‐conserving surgery using visual inspection and noninvasive imaging. Methods We compared changes in the irradiated skin over time between evaluations, based on visual inspection and noninvasive imaging in 31 patients receiving postmastectomy radiation therapy. The condition of the skin was evaluated by visual inspection of the thermogram, and analysis of skin surface temperature, intensity of erythema, intensity of melanin, and hydration level. Results Skin surface temperature remained higher at the irradiation site after 11 months, despite the absence of erythema per visual inspection. The intensity of erythema was higher at the irradiated site until 17–19 months after completion of irradiation. Similarly, the intensity of melanin tended to be higher at the irradiated site compared with the nonirradiated site until 17–19 months. The hydration level at the irradiated site was lower at 6 months but recovered to match the nonirradiated site at 11–13 months. Impaired skin conditions assessed by noninvasive objective procedures persist longer than the assessment made by visual inspection. Conclusions Adverse effects should be treated or prevented in the long term in patients receiving postmastectomy radiation therapy.

show abstract

Evaluation of digital infra–red thermal imaging as an adjunctive screening method for breast carcinoma: A pilot study

Cited by 37 publications

References 13 publications

Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network

Breast Cancer Identification via Thermography Image Segmentation with a Gradient Vector Flow and a Convolutional Neural Network

Evidências Da Mama Puerperal Por Termografia: Relato De Caso

Long‐term analysis of irradiated skin after breast‐conserving surgery in breast cancer patients using noninvasive imaging

Contact Info

Product

Resources

About