Case Report
Volume: 7 | Issue: 2 | Published: Jan 03, 2023 | Pages: 30 - 34 | DOI: 10.24911/ejmcr/173-1655212916
Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports
Authors:
Charitha Gangadharan
, Lakshmi Krishnan
, Siva Teja Kakileti
, Sathiakar Collison
, Akshita Singh
, Venkatraman Bhat
, Richa Bansal
, Bharat Aggarwal
, Geetha Manjunath
Article Info
Authors
Lakshmi Krishnan
Niramai Health Analytix Pvt Ltd, Bangalore, India
Siva Teja Kakileti
Niramai Health Analytix Pvt Ltd, Bangalore, India
Sathiakar Collison
Niramai Health Analytix Pvt Ltd, Bangalore, India
Akshita Singh
Niramai Health Analytix Pvt Ltd, Bangalore, India
Venkatraman Bhat
Mazumdar Shaw Medical Centre, Narayana Hrudayalaya Limited, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
Richa Bansal
Mazumdar Shaw Medical Centre, Narayana Hrudayalaya Limited, Narayana Hrudayalaya Health City, Bangalore, Karnataka, India
Bharat Aggarwal
Max Super Speciality Hospital, Saket, New Delhi, India
Geetha Manjunath
Max Super Speciality Hospital, Saket, New Delhi, India
Publication History
Received: June 15, 2022
Revised: November 21, 2022
Accepted: November 22, 2022
Published: January 03, 2023
Abstract
Background: Invasive ductal carcinoma (IDC) of the breast is the most common type of breast cancer in women. Imaging by mammography and/or ultrasonography and histo-pathological examination are collectively used to confirm a diagnosis of IDC. However, the standard imaging modalities are resource intensive and hence, have limited feasibility in resource-limited countries. Thermalytix, an affordable, radiation-free test is a novel Artificial Intelligence (AI)-powered breast cancer detection tool that has shown effectiveness in detecting breast cancer in both symptomatic and asymptomatic women. Case Presentation: We describe two cases of symptomatic women who, on Thermalytix, were identified with a lesion suspicious of malignancy and confirmed as IDC on further evaluation by standard of care imaging and tissue diagnosis. Conclusion: Thermalytix, a new AI-based computer diagnostic solution (Computer diagnostic solution), has the potential to identify breast malignancies such as IDC.
Keywords: Artificial Intelligence, Breast Neoplasm, Standard of care, Mammography, Carcinoma, Ductal, green
Pubmed Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. EJMCR. 2023; 03 (January 2023): 30-34. doi:10.24911/ejmcr/173-1655212916
Web Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. https://ejmcr.com/articles/1273 [Access: December 04, 2024]. doi:10.24911/ejmcr/173-1655212916
AMA (American Medical Association) Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. EJMCR. 2023; 03 (January 2023): 30-34. doi:10.24911/ejmcr/173-1655212916
Vancouver/ICMJE Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. EJMCR. (2023), [cited December 04, 2024]; 03 (January 2023): 30-34. doi:10.24911/ejmcr/173-1655212916
Harvard Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath (2023) Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. EJMCR, 03 (January 2023): 30-34. doi:10.24911/ejmcr/173-1655212916
Chicago Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. "Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports." 03 (2023), 30-34. doi:10.24911/ejmcr/173-1655212916
MLA (The Modern Language Association) Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath. "Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports." 03.January 2023 (2023), 30-34. Print. doi:10.24911/ejmcr/173-1655212916
APA (American Psychological Association) Style
Charitha Gangadharan, Lakshmi Krishnan, Siva Teja Kakileti, Sathiakar Collison, Akshita Singh, Venkatraman Bhat, Richa Bansal, Bharat Aggarwal, Geetha Manjunath (2023) Artificial intelligence enhanced thermal breast imaging in the diagnosis of invasive breast cancer: a study of 2 case reports. , 03 (January 2023), 30-34. doi:10.24911/ejmcr/173-1655212916