Breast cancer detection has undergone a revolutionary transformation, embracing advanced technologies that prioritize patient comfort and safety. This Breast Cancer Awareness Month, healthcare professionals are emphasizing a notable evolution in screening methods, where compassion, technology, and accuracy are merging to enhance early detection for women.
According to Dr Neelima Kanth T, a gynaecologist and obstetrician at Apollo Cradle Hospital in Jubilee Hills, India has made significant strides in early-stage breast cancer screening options. She notes, “Several advanced screening tests are now available for patients to detect breast cancer symptoms early. These include 3D Mammography (Tomosynthesis), Breast MRI, Breast Ultrasound, Clinical Breast Examination (CBE), and Genetic Testing (BRCA tests).”
Dr Neelima highlights the impact of artificial intelligence in this realm, stating, “At our hospital, we collaborate with Niramai to utilize advanced tests like Thermalytix. This screening employs a high-resolution thermal sensing device along with cloud-hosted analytics powered by AI and machine learning to analyze thermal images for early and accurate breast cancer detection.” Unlike traditional mammography, Thermalytix is non-invasive and free from radiation exposure. “The high-resolution sensor is positioned three feet away from the woman to capture thermal images, which are then automatically analyzed to produce a diagnostic report validated by a radiologist,” she explains.
Dr Neelima also addresses the limitations of conventional methods, saying, “Previous mammograms and self-examinations often resulted in false positives or overdiagnosis, leading to unnecessary anxiety and biopsies. Traditional approaches could be uncomfortable and psychologically taxing. The new AI-assisted screenings offer greater accuracy and are more patient-friendly.” She adds that thermography has shown marked effectiveness for younger women, achieving up to 99% accuracy for those aged between 30 and 55. This method is especially beneficial for women under 45, as dense breast tissue can complicate mammography results.
Dr Srinivas Juluri, a chief consultant surgical oncologist at Renova Century Hospitals, underscores the advancements in surgical techniques that have significantly enhanced recovery outcomes and quality of life for breast cancer patients. He explains, “The Sentinel Lymph Node Biopsy (SLNB) procedure, supported by frozen section analysis, enables us to avoid the removal of non-involved axillary nodes, thereby greatly reducing the risk of lymphedema, which is arm swelling.” Additionally, he mentions innovations in oncoplastic surgery that help maintain the aesthetic appearance of the breast. “Oncoplastic surgery allows us to keep the breast”s natural shape while excising the tumor, utilizing techniques like volume displacement or replacement, including flap reconstruction to restore appearance,” he says.
Discussing personalized treatment approaches, Dr Srinivas notes, “Each breast cancer case is now treated on an individual basis. We customize treatment plans based on factors such as tumor subtype, stage, genetic mutations, and even patient preferences. Tests like Oncotype DX and Mammaprint assist in determining the necessity for chemotherapy or other interventions.” He encourages women to conduct regular Breast Self-Examinations (BSE), emphasizing the importance of understanding the “seven P”s of BSE — Positions, Perimeter, Palpation, Pressure, Pattern, Practice, and Planning for potential changes.” This self-awareness is crucial for early detection and timely intervention.
Dr Venkata Sujatha Vellanki, a regional medical head and fertility specialist at Oasis Fertility, brings attention to another important aspect of breast cancer care — the preservation of fertility during treatment. “Artificial intelligence is revolutionizing cancer diagnosis and treatment, particularly for breast cancer, with considerable advantages for fertility preservation,” she states. “Early and precise detection through AI-driven imaging like 3D mammograms helps prevent the need for aggressive treatments that could harm ovarian function.” She explains that AI-assisted therapies can evaluate complex datasets, including imaging, genomics, and pathology, to predict treatment responses and assess individual risks, enabling a balance between effective cancer management and fertility preservation.
Dr Sujatha concludes by emphasizing that technological advancements are not only improving treatment outcomes but also ensuring that reproductive health remains a critical focus for young women diagnosed with breast cancer. “AI is making treatments more precise, less invasive, and ultimately more compassionate,” she states.
