Breast abnormality based early diagnosis of breast cancer using non-invasive digital infrared thermal imaging

Author(s):  
Priya Tushar Hankare
BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e054256
Author(s):  
Francesco Ravera ◽  
Gabriella Cirmena ◽  
Martina Dameri ◽  
Maurizio Gallo ◽  
Valerio Gaetano Vellone ◽  
...  

IntroductionStandard procedures aimed at the early diagnosis of breast cancer (BC) present suboptimal accuracy and imply the execution of invasive and sometimes unnecessary tissue biopsies. The assessment of circulating biomarkers for diagnostic purposes, together with radiomics, is of great potential in BC management.Methods and analysisThis is a prospective translational study investigating the accuracy of the combined assessment of multiple circulating analytes together with radiomic variables for early BC diagnosis. Up to 750 patients will be recruited at their presentation at the Diagnostic Senology Unit of Ospedale Policlinico San Martino (Genoa, IT) for the execution of a diagnostic biopsy after the detection of a suspect breast lesion (t0). Each recruited patient will be asked to donate peripheral blood and urine before undergoing breast biopsy. Blood and urine samples will also be collected from a cohort of 100 patients with negative mammography. For cases with histological diagnosis of invasive BC, a second sample of blood and urine will be collected after breast surgery. Circulating tumour DNA, cell-free methylated DNA and circulating proteins will be assessed in samples collected at t0 from patients with stage I–IIA BC at surgery together with those collected from patients with histologically confirmed benign lesions of similar size and from healthy controls with negative mammography. These analyses will be combined with radiomic variables extracted with freeware algorithms applied to cases and matched controls for which digital mammography is available. The overall goal of the present study is to develop a horizontal data integration classifier for the early diagnosis of BC.Ethics and disseminationThis research protocol has been approved by Regione Liguria Ethics Committee (reference number: 2019/75, study ID: 4452). Patients will be required to provide written informed consent. Results will be published in international peer-reviewed scientific journals.Trial registration numberNCT04781062.


2020 ◽  
Author(s):  
Michael Larkin ◽  
Catherine Loughin ◽  
Dominic Marino ◽  
Curtis Dewey ◽  
Scott Umbaugh ◽  
...  

Abstract Background Medical infrared thermal imaging (MITI) is a non-invasive imaging modality gaining popularity in the veterinary field. An infrared camera captures emission of heat and creates a color map in the form of a thermogram. Topical heat emission is influenced by localized disease processes as a result of autonomic nervous system imbalance. The purpose of this study was to determine the utility of using thermography to identify changes in thermographic patterns associated with syringomyelia (SM) presence or absence in Cavalier King Charles Spaniels (CKCS) with Chiari-like Malformation (CLM).Results In CKCS with CLM, MITI was most accurate at a texture distance of 6. Optimizing imaging feature sets produced a highest accuracy of 69.9% (95% CI: 59.5-79.0%), with 81.3% sensitivity and 57.8% specificity for identifying the presence of syringomyelia.Conclusion Thermographic image analysis is a successful non-invasive, diagnostic test that can be used to screen for syringomyelia presence in a CKCS with CLM.


2021 ◽  
pp. 1-10
Author(s):  
Kubra Karaosmanoglu Yoneten ◽  
Murat Kasap ◽  
Kazim Yalcin Arga ◽  
Gurler Akpinar ◽  
Nihat Zafer Utkan

BACKGROUND: Breast cancer (BC) is one of the most life-threatening cancer types among women. Despite major developments in medical sciences and technologies, the incidence and mortality rates of BC cases are still increasing. One of the reasons for this increase is the absence of an easy to perform early-diagnostic tool. Although there are defined BC biomarkers routinely used for diagnostic and prognostic purposes, none of these biomarkers is useful for early diagnosis. Therefore, early diagnosis of BC remains an important challenge and there is a great need for the early-diagnostic biomarker(s). OBJECTIVE: In this study, we aimed to evaluate the diagnostic and prognostic values of glycerol-3-phosphate dehydrogenase (GPD1) and monoacylglycerol lipase (MAGL) proteins as non-invasive serum biomarkers. METHODS: GPD1 and MAGL serum levels were determined by ELISA for BC patients (n= 100) from five different subtypes, and healthy controls (n= 20), and a comparative analysis was performed to determine statistically significant expression differences among the groups. RESULTS: The results provided evidence that GPD1 acted as a diagnostic biomarker in distinguishing triple-negative breast cancer (TNBC) patients from other subtypes, and MAGL acted as a diagnostic biomarker in distinguishing healthy individuals from BC patients. CONCLUSION: GPD1 and MAGL might be proposed as non-invasive diagnostic biomarkers for BC with high sensitivity and specificity.


2021 ◽  
Vol 11 (1) ◽  
pp. 9-15
Author(s):  
Cunguo Yu ◽  
Lixin Zhang ◽  
Jinying Liu ◽  
Xiaoguang Wang

Breast cancer (BC) is a common malignant tumor that threatens both the physical and mental health of women worldwide, the incidence of BC is increasing each year. Early detection and prompt diagnosis are key for prevention of BC and will promote reductions in morbidity and mortality. As such, we present here an integrated diagnostic and treatment strategy for BC that is based on infrared thermal imaging (IRTI) combined with superparamagnetic iron tetroxide (Fe3O4) nanoparticles. In this work, a doxorubicin (DOX) anticancer drug platform was generated using polyethylene-coated paramagnetic nano-iron tetroxide particles, and IRTI technology was used to implement an integrated approach to diagnosis and treatment. The therapeutic efficacy of the DOX anticancer drug system utilizing nano-iron tetroxide superparamagnetic particles was examined. DOX anticancer drug composite nanomaterials based on superparamagnetic Fe3O4 nanoparticles (PEG-Fe3O4@DOX). The size distribution of NPs was 14.5 ± 0.53 nm, and the drug encapsulation rate (80.1%) and drug loading rate (35.3%) were higher PEG-Fe3O4@DOX. The results showed that the acidic medium was beneficial to the release of DOX PEG-Fe3O4@DOX. It is beneficial to release DOX from NPs PEG-Fe3O4@DOX NPs can accurately reach the cancerous site for release and achieve the purpose of precise treatment.


2014 ◽  
Vol 71 (1) ◽  
pp. 491-498 ◽  
Author(s):  
Fei Han ◽  
Guilian Shi ◽  
Chengwen Liang ◽  
Lin Wang ◽  
Kaiyang Li

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