NCT06717984Recruiting
AI Model for Classifying Breast Cancer From Histopathology Images
A Study on Artificial Intelligence Algorithms for Breast Cancer Classification From Histopathology Images
Source: ClinicalTrials.gov · Last updated 5 Dec 2024 · Not updated for over 12 months - ask the site whether it is still open
Brief summary (registry, in English)
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes. Traditional histopathological examination, the current gold standard for diagnosis, faces limitations like subjectivity and low efficiency. In response, this research seeks to revolutionize breast cancer diagnostics by using deep learning techniques to classify invasive and noninvasive breast cancer types from histopathological images. Non-invasive cancers, like DCIS and LCIS, are confined to milk ducts or lobules, while invasive cancers spread to surrounding tissue and make up 70% of cases, often leading to poorer outcomes. The proposed AI model aims to enhance diagnostic accuracy and efficiency, surpassing manual methods, and providing a scalable solution for diverse healthcare settings. By automating image analysis, the model seeks to democratize cancer screening, making it accessible in underserved populations and adaptable to different resources and equipment. Ultimately, this research aims to advance breast cancer detection, improve patient care, and contribute to better treatment outcomes globally.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 500 (estimated)
- First submitted
- 1 Dec 2024
- Start date
- 11 Jan 2024
- Primary completion date
- 11 Feb 2025
- Lead sponsor
- Taufiq Hasan, PhD
- Diseases
- Childhood cancers
- NCT number
- NCT06717984
What you commit to
- Study type: Observational
- Planned participants: 500
- From 11 Jan 2024 to the primary completion date, 11 Feb 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Criteria the registry did not label
- Inclusion criteria:
- Female patients of any age can be selected as subjects.
- Individuals willing to participate in breast cancer screening.
- Availability for biopsy examination.
- Women with no current or prior diagnosis of breast cancer.
- Availability of relevant medical records for confirmation and comparison purposes.
- Exclusion criteria:
- Pregnant women are excluded due to potential impacts on screening results and the necessity for special considerations during pregnancy.
- Individuals with severe medical conditions or circumstances that may render histopathologic examination inappropriate or unsafe are excluded.
- Patients with conditions that could interfere with the accuracy of screening results are excluded.
- Follow-up screenings are not included in this study.
Sex: Female · Accepts healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| National Institute of Cancer Research & Hospital (NICRH) Coordinator of this site? Confirm its status | Dhaka | Bangladesh | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.