Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques
Breast Cancer Detection (BCD) presents persistent challenges in clinical practice, with patients often experiencing quite high mortality risks due to diagnostic inaccuracies driven by imaging complexities and variable breast densities. High false positive and negative rates associated with tradition...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Microwaves |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11075568/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850117743273050112 |
|---|---|
| author | Rachida Boulerbah Abdelhalim Chaabane Ibraheem Al-Naib Abdulrahman S. M. Alqadami Djelloul Aissaoui Hussein Attia |
| author_facet | Rachida Boulerbah Abdelhalim Chaabane Ibraheem Al-Naib Abdulrahman S. M. Alqadami Djelloul Aissaoui Hussein Attia |
| author_sort | Rachida Boulerbah |
| collection | DOAJ |
| description | Breast Cancer Detection (BCD) presents persistent challenges in clinical practice, with patients often experiencing quite high mortality risks due to diagnostic inaccuracies driven by imaging complexities and variable breast densities. High false positive and negative rates associated with traditional imaging modalities such as magnetic resonance imaging and mammography highlight critical limitations, including radiation exposure, patient discomfort, high cost, and non-uniform feature extraction. These shortcomings necessitate the development of innovative, non-invasive, and cost-effective alternatives. This paper reviews recent advancements in emerging BCD modalities, including microwave imaging, ultrasound, and photo-acoustic imaging. It examines their principles, technological progress, and potential for clinical adoption. Furthermore, it evaluates the integration of artificial intelligence in BCD, focusing on lesion segmentation, which remains underexplored compared to classification tasks. This study critically examines over 68 research papers published since 2017 and emphasizes the benefits and drawbacks of the proposed designs. The findings aim to advance the design and implementation of reliable, patient-centered technologies, addressing key gaps in diagnostic precision and contributing to the biomedical engineering domain. |
| format | Article |
| id | doaj-art-36b41db68ebf4721961d2a9b7eed7644 |
| institution | OA Journals |
| issn | 2692-8388 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Microwaves |
| spelling | doaj-art-36b41db68ebf4721961d2a9b7eed76442025-08-20T02:36:02ZengIEEEIEEE Journal of Microwaves2692-83882025-01-015477679210.1109/JMW.2025.358050311075568Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging TechniquesRachida Boulerbah0Abdelhalim Chaabane1https://orcid.org/0000-0002-8617-8007Ibraheem Al-Naib2https://orcid.org/0000-0002-7499-0655Abdulrahman S. M. Alqadami3https://orcid.org/0000-0001-8726-1585Djelloul Aissaoui4https://orcid.org/0000-0002-7402-8650Hussein Attia5https://orcid.org/0000-0002-6407-9251Laboratory of Telecommunications and Smart Systems, Ziane Achour University of Djelfa, Djelfa, AlgeriaLaboratoire des Télécommunications-LT, Institut des Télécommunications, Université 8 Mai 1945 Guelma, BP 401, Guelma, AlgeriaBioengineering Department, College of Chemicals and Materials, King Fahd University of Petroleum & Minerals (KFUPM), Dhahran, Saudi ArabiaInterdisciplinary Research Center for Communication Systems and Sensing, KFUPM, Dhahran, Saudi ArabiaLaboratory of Telecommunications and Smart Systems, Ziane Achour University of Djelfa, Djelfa, AlgeriaInterdisciplinary Research Center for Communication Systems and Sensing, KFUPM, Dhahran, Saudi ArabiaBreast Cancer Detection (BCD) presents persistent challenges in clinical practice, with patients often experiencing quite high mortality risks due to diagnostic inaccuracies driven by imaging complexities and variable breast densities. High false positive and negative rates associated with traditional imaging modalities such as magnetic resonance imaging and mammography highlight critical limitations, including radiation exposure, patient discomfort, high cost, and non-uniform feature extraction. These shortcomings necessitate the development of innovative, non-invasive, and cost-effective alternatives. This paper reviews recent advancements in emerging BCD modalities, including microwave imaging, ultrasound, and photo-acoustic imaging. It examines their principles, technological progress, and potential for clinical adoption. Furthermore, it evaluates the integration of artificial intelligence in BCD, focusing on lesion segmentation, which remains underexplored compared to classification tasks. This study critically examines over 68 research papers published since 2017 and emphasizes the benefits and drawbacks of the proposed designs. The findings aim to advance the design and implementation of reliable, patient-centered technologies, addressing key gaps in diagnostic precision and contributing to the biomedical engineering domain.https://ieeexplore.ieee.org/document/11075568/Breast cancermicrowave imaging (MWI)Ultrasound (US)Photo-Acoustic Imaging (PAI)clinical trialsartificial intelligence (AI) |
| spellingShingle | Rachida Boulerbah Abdelhalim Chaabane Ibraheem Al-Naib Abdulrahman S. M. Alqadami Djelloul Aissaoui Hussein Attia Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques IEEE Journal of Microwaves Breast cancer microwave imaging (MWI) Ultrasound (US) Photo-Acoustic Imaging (PAI) clinical trials artificial intelligence (AI) |
| title | Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques |
| title_full | Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques |
| title_fullStr | Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques |
| title_full_unstemmed | Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques |
| title_short | Recent Advancements in Breast Cancer Detection: A Holistic Review of Microwaves, Ultrasound, and Photo-Acoustic Imaging Techniques |
| title_sort | recent advancements in breast cancer detection a holistic review of microwaves ultrasound and photo acoustic imaging techniques |
| topic | Breast cancer microwave imaging (MWI) Ultrasound (US) Photo-Acoustic Imaging (PAI) clinical trials artificial intelligence (AI) |
| url | https://ieeexplore.ieee.org/document/11075568/ |
| work_keys_str_mv | AT rachidaboulerbah recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques AT abdelhalimchaabane recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques AT ibraheemalnaib recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques AT abdulrahmansmalqadami recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques AT djelloulaissaoui recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques AT husseinattia recentadvancementsinbreastcancerdetectionaholisticreviewofmicrowavesultrasoundandphotoacousticimagingtechniques |