A lumpectomy is a surgical procedure aimed at removing a localized tumor or lump within the breast while preserving as much healthy tissue as possible. Typically performed as a treatment for early-stage breast cancer, it involves excising the tumor along with a small margin of healthy tissue around it. This procedure is also known as breast-conserving surgery, as it allows the patient to retain most of their breast. Before the surgery, extensive imaging such as mammograms or MRI scans helps pinpoint the precise location and size of the lump. During the lumpectomy, the surgeon makes an incision near the tumor, carefully removes it, and ensures the margins are clear of cancerous cells. The excised tissue is then sent to a pathology lab for examination to confirm the absence of cancer cells at the edges. Following a lumpectomy, patients may undergo radiation therapy to destroy any remaining cancer cells and reduce the risk of cancer recurrence. This procedure generally entails a shorter recovery period compared to a mastectomy (complete removal of the breast), allowing patients to resume their daily activities relatively quickly. However, post-operative care, regular monitoring, and potential additional treatments are crucial elements in managing the condition and ensuring long-term health and well-being.
Title : Microbial spectrum and histo-pathological pattern in patients with breast abscess: A 5 year retrospective study in a tertiary care rural teaching hospital in South India
Caroline Francis, Hull Royal Infirmary, United Kingdom
Title : Evolution of surgical oncology
Nagy Habib, Imperial College London, United Kingdom
Title : Cell therapy for chronic ischemia
Darwin Eton, Vasogenesis Inc, United States
Title : Improving post-operative analgesia regimens after emergency major abdominal surgery
Shifa Bangi, Oxford University Hospitals NHS Trust, United Kingdom
Title : The coincidence between spinal perineural cysts, increased intracranial pressure and the appearance of small fiber neuropathy. Exploring the relationship and (surgical) lessons to be learned
Ricky Rasschaert, AZ Rivierenland, Belgium
Title : Predicting reductions in acute pain and opioid consumption with non-opioid analgesics: A machine learning analysis of randomised controlled trials (OPERA study)
Toluwalogo Daramola, University of Nottingham, United Kingdom