Breast Thermography as an Adjunct Tool to Monitor the Chemotherapy Response in a Triple Negative BIRADS V Cancer Patient: A Case Study

Singh, Deepika; Singh, Ashutosh Kumar; Tiwari, Shailesh

doi:10.1109/tmi.2021.3122565

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…The authors are in the process of creating a large collection of breast thermograms of normal, benign, and malignant subjects along with metadata based on clinical reports for correlation. We are also performing sequential screening of one of the malignant subjects after various cycles of Neoadjuvant Chemotherapy (NACT) [22] to monitor the treatment response of the speci c patient. Current thermography based study has certain limitations like (a) small dataset to draw more conclusive and signi cant results, (b) thermal abnormalities due to scars, skin lesions, and benign diseases need to be identi ed based on more signi cant features, and (c) false positives due to skin overlapping, hormonal changes, and axillary breast tissues, and (d) we have used a thermal camera with the low resolution of 240 × 320 pixels.…”

Section: Discussionmentioning

confidence: 99%

“…Breast thermography may prove to be very useful in reaching a large number of people, which may not be having access to advanced diagnostic facilities, especially in developing countries [18][19][20].Comparison of clinical studies ranging in the period of 1 to 16 years, for and against breast thermography [7][21] show that though many studies showed very high sensitivity (98%) and speci city (99%) with classi ers, this technique is still not used as a standalone breast cancer screening tool due to false positives. However, the tool can potentially be used as an adjunct tool for sequential screening of women to assess chemotherapy response [22]. Most of the recent works related to the analysis of breast thermograms have private databases.…”

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confidence: 99%

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Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis

Singh

Tiwari

2022

Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

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Objectives: Breast cancer is the prime reason for mortality due to cancer in women across the globe and India. Early screening to identify breast abnormality before the actual symptoms are visible, is the only effective way of reducing associated mortality. Breast thermography, which is a non-invasive, painless, non-toxic, and cost-effective method, can potentially be used for early screening, especially to identify lesions in dense breasts.Methods: The current study is a single-center preliminary thermography based study of 5 malignant and 7 benign female subjects that highlights the correlation of thermal, statistical, and fractal features obtained from thermograms (malignant and benign), with the clinical characteristics of the patients.Results: Comparison of mean surface temperatures of 12 subjects shows that the contralateral breast temperature difference is more than 0.5˚C for malignant cases, whereas, for benign cases, the value is between 0 to 0.2˚C. Also, the fractal dimension of the hot spot boundary in the malignant breast side is greater than the corresponding fractal dimension on the contralateral side. Conclusion:The proposed study is able to identify malignancy in dense breasts cases and benign cases requiring follow-up after screening to reduce the chances of breast cancer progression. Background Breast cancer [1][2][3] is one of the commonly found cancers in women worldwide. Screening and diagnosis at the initial stage of breast cancer is the only effective way to lower the mortality rate. Breast thermography [4][5][6][7] is a potential adjunct screening tool to existing diagnostic methods like mammography, ultrasonography, magnetic resonance imaging (MRI). This method quanti es the surface temperature of the human body by capturing infra-red radiations emitted by the body surface, using Infrared cameras. The growth of cancerous cells can cause an increase in surface temperature due to pathophysiological changes, i.e. metabolic and vascular changes [8]. Increased metabolic activity results in increased biochemical signaling [9][10]. Change in microvasculature includes the building of new capillary blood vessels (angiogenesis) and vasodilation of blood vessels already present. This can result in a temperature rise [11][12] in cancerous tissue when compared with normal tissue. Existing diagnostic methods like mammography, which is the gold standard technique, have certain limitations like (1) increased chances of cancer with repeated exposure (2) painful method, and (3) not effective for young women having dense breast tissue [13]. MRI is a very effective technique for cancer screening but it is costly and may cause allergic reactions to the patient due to the usage of contrast agents.Clinical breast examination (CBE) is also one of the low-cost key steps in early breast cancer detection when combined with other imaging modalities [14]. Breast thermography is a non-invasive, radiation-free, cost-effective, portable, and contact-less potential screening method for monitoring breast abnormalities. I...

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis

Singh

Tiwari

2022

Artificial Intelligence Over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

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“…In order to track a patient's reaction to treatment for triple-negative breast cancer, [36] investigate the use of breast thermography. The importance of this case study lies in the fact that it shows how thermography can be used to assess the effectiveness of treatments, particularly in difficult cancer subtypes.…”

Section: A Optimization Techniques In Enhancing Model Performancementioning

confidence: 99%

ACNGCNN: Improving Efficiency of Breast Cancer Detection and Progression using Adversarial Capsule Network with Graph Convolutional Neural Networks

Pallapu,

Syed

2024

ijacsa

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New diagnostic methods are needed to improve the accuracy and efficiency of breast cancer detection and progression. Although successful, current methods frequently lack precision, accuracy, and timeliness, especially in the early phases Of breast cancer progression. Our research proposes a new model using deep learning to improve breast cancer detection and classification, addressing constraints. Our breast cancer image and sample preprocessing approach combines a nonlocal means filter (NLM) and Generative Adversarial Networks (GAN). The model classifies datasets using LSTM with BiGRUbased Recurrent ShuffleNet V2, a highly efficient and accurate technique for sequential data samples. The integration of a Capsule Network with Graph Convolutional Neural Networks (CNGCNN) significantly improves breast cancer detection. This method was carefully tested on BreaKHis. The results were amazing, showing gains across multiple metrics: 4.9% greater precision, 3.5% higher accuracy, 3.4% higher recall, 2.5% higher AUC (Area Under the Curve), 1.9% higher specificity, and 3.4% decreased delay in the identification of breast cancer stages. Particularly striking was the model's performance in diagnosing illness development, where it displayed 3.5% greater precision, 3.9% higher accuracy, 4.5% higher recall, 3.4% higher AUC, 2.9% higher specificity, and 1.5% lower latency. Significant clinical impacts result from this work. Our methodology enables early diagnosis and precise staging of breast cancer, enabling focused therapies to improve patient outcomes and survival rates. The greater precision and reduced time lag in diagnosing disease progression also allow for more effective monitoring and treatment modifications. Overall, this study marks a considerable improvement in the field of breast cancer diagnostics, delivering a more efficient, accurate, and reliable tool for healthcare providers in their fight against this ubiquitous disease.

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“…Esta reduc ¸ão na temperatura, segundo os autores, se relaciona com a reduc ¸ão da agressividade do tumor. Singh et al [Singh et al 2021] realizaram um estudo de caso para avaliar a resposta ao tratamento neoadjuvante em duas pacientes com câncer de mama, analisando as mudanc ¸as nas termografias estáticas das mamas. Os detalhes das pacientes e das termografias foram coletados em dois momentos, antes e depois do tratamento.…”

Section: Trabalhos Relacionadosunclassified

Termografia como Ferramenta de Avaliação Durante o Tratamento Neoadjuvante para Câncer de Mama

Araújo,

Issa,

Sánchez

et al. 2023

Anais Do XXIII Simpósio Brasileiro De Computação Aplicada À Saúde (SBCAS 2023)

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A termografia é uma alternativa para a detecção de anomalias que afetam o padrão térmico das mamas. Embora amplamente estuda para triagem ou diagnóstico, poucos estudos a investigam para acompanhar a evolução do tratamento. Neste artigo, propõe-se uma metodologia que a use no tratamento neoadjuvante, identificando as regiões mais quentes por meio de um algoritmo de aprendizado não supervisionado k-means e construindo séries temporais baseadas em medidas estatísticas e homogeneidade. Os resultados acompanham a evolução do tratamento corretamente em pelo menos 79% dos casos com base nas medidas estatísticas e 95% dos casos quando essas são combinadas com as medidas de homogeneidade na avaliação do paciente.

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Breast Thermography as an Adjunct Tool to Monitor the Chemotherapy Response in a Triple Negative BIRADS V Cancer Patient: A Case Study

Cited by 7 publications

References 25 publications

Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis

Early Thermographic Screening of Breast Abnormality in Women with Dense Breast by Thermal, Fractal, and Statistical Analysis

ACNGCNN: Improving Efficiency of Breast Cancer Detection and Progression using Adversarial Capsule Network with Graph Convolutional Neural Networks

Termografia como Ferramenta de Avaliação Durante o Tratamento Neoadjuvante para Câncer de Mama

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