Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

Factors Affecting the Risk of Infection

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

Dipeptidyl Peptidase 4 Inhibitors

Dipeptidyl Peptidase 4 Inhibitors

Dipeptidyl peptidase 4 (DPP-4) is a serine protease widely distributed in the body. It's involved in the inactivation of GLP-1 and GIP hormones, which are crucial for insulin regulation. DPP-4 inhibitors, such as sitagliptin (Januvia), saxagliptin (Onglyza), linagliptin (Tradjenta), alogliptin (Nesina), and vildagliptin (Galvus), help increase the proportion of active GLP-1, enhancing insulin secretion. These inhibitors work by competitively binding to DPP-4. This binding causes a...

Frustration and Conflict: Approach-Approach, Approach-Avoidance

Frustration and Conflict: Approach-Approach, Approach-Avoidance

Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Network and Factor Structure of Depression and Anxiety Symptoms in Telemental Healthcare Patients From Bangladesh: Evidence for Precision Mental Healthcare.

Depression and anxiety·2026

Same author

Draft genome sequence of <i>Pseudomonas aeruginosa</i> SAU_MI_1F1 isolated from feces of cattle in Dhaka, Bangladesh.

Microbiology resource announcements·2026

Same author

Integrated in silico and in vitro assessment of Azadirachta indica leaf extract against multi-drug resistant Citrobacter koseri and Staphylococcus saprophyticus.

Scientific reports·2026

Same author

Early feasibility of telemedicine-based mental health wellbeing centers: an implementation study in district and sub-district health facilities in Bangladesh.

BMC health services research·2026

Same author

Tele-mental health for frail older adults in rural Bangladesh: a phenomenological study.

BMC psychology·2026

Same author

Draft genome sequence of <i>Salmonella enterica</i> subsp. <i>enterica</i> serovar Typhimurium SBI_US10_MRI_BD isolated from broiler chicken in Bangladesh.

Microbiology resource announcements·2026

Search research articles

Related Experiment Video

Updated: Jan 29, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

Breathprints for Breast Cancer: Evaluating a Non-Invasive Approach to BI-RADS 4 Risk Stratification in a Preliminary

Ashok Prabhu Masilamani¹, Jayden K Hooper¹, Md Hafizur Rahman¹

¹Noze, 4920 Pl. Olivia, Saint-Laurent, QC H4R 2Z8, Canada.

|January 28, 2026

Summary

Exhaled breath analysis shows promise in identifying breast cancer in BI-RADS 4 patients, potentially reducing unnecessary biopsies. This non-invasive method achieved high accuracy, offering a new tool for diagnostic decision-making.

Keywords:

BI-RADS 4 autoencoder breast cancer breath analysis chemiresistive sensor array digital olfaction (electronic nose)machine learning multi-modal fusion risk stratification rule-out diagnostics volatile organic compounds (VOCs)

More Related Videos

Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats

Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats

Published on: October 16, 2010

Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish

Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish

Published on: April 25, 2017

Related Experiment Videos

Last Updated: Jan 29, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats

Changes in Mammary Gland Morphology and Breast Cancer Risk in Rats

Published on: October 16, 2010

Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish

Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish

Published on: April 25, 2017

Area of Science:

Oncology
Medical Diagnostics
Biotechnology

Background:

Breast cancer is a leading cause of mortality in women, necessitating accurate early detection methods.
The Breast Imaging Reporting and Data System (BI-RADS) classification aids reporting, but BI-RADS 4 poses diagnostic challenges due to a wide malignancy risk spectrum (2-95%).
Many patients with BI-RADS 4 findings undergo unnecessary biopsies, increasing healthcare costs and patient burden.

Purpose of the Study:

To evaluate the efficacy of exhaled breath analysis in differentiating malignant from benign breast lesions in patients classified under BI-RADS 4.
To assess the potential of breath analysis as a non-invasive tool to reduce unnecessary invasive procedures.

Main Methods:

Breathprints were collected from 85 participants (BI-RADS 3-5) using an electronic nose (eNose) breathalyzer.
An autoencoder model integrated breath data with BI-RADS scores for malignancy prediction.
Model performance was validated using cross-validation, prioritizing high sensitivity to minimize false negatives.

Main Results:

The study analyzed breath samples from 68 benign and 17 malignant BI-RADS 4 cases.
The breath analysis model demonstrated a mean sensitivity of 88%, specificity of 75%, and a negative predictive value (NPV) of 97%.
Performance remained consistent across BI-RADS 4 subcategories, with notable sensitivity in higher-risk groups.

Conclusions:

Exhaled breath analysis can effectively distinguish malignant from benign findings in BI-RADS 4 patients.
The high NPV suggests this method can serve as a reliable non-invasive tool to rule out malignancy, reducing unnecessary biopsies.
Further multi-center studies are recommended to validate these findings and explore clinical implementation.