Purpose: This study aimed to investigate the efficacy and survival analysis of internal mammary lymph nodes (IMLNI) radiotherapy after modified radical mastectomy for TNM The lateral quadrant breast cancer.
Materials And Methods: A total of 124 patients who underwent adjuvant radiotherapy after modified radical mastectomy for breast cancer in the First Affiliated Hospital of Bengbu Medical University were included. The patients were divided into the internal mammary lymph node (IMLN) irradiation group, and sixty-two patients received postoperative chest wall + upper and infraclavicular lymph nodes + IMLNI,sixty-two patients in the non-IMLN irradiation group received postoperative radiotherapy to the chest wall + upper and infraclavicular lymph nodes. The radiotherapy dose was 45-50GY, The disease-free survival rate (DFS), survival rate (OS), local recurrence rate (LRR), distant metastasis rate (DM), and adverse radiation reactions were analyzed.
Results: Median follow-up was 56 months (range 12-96). The 5-year OS in the IMLNI group and the non-IMLNI group were 80.6% and 79.8% (P>0.05), DFS was 62.9% and 59.7% (P>0.05), LRR was 22.6 and 21.0% (P>0.05), and DM was 25.8% and 33.9% (P>0.05), respectively. Multifactorial showed that T stage, PR status, vascular cancer embolism, it was an independent prognostic factor affecting the 5-year OS of patients, and PR expression status (P=0.038) was an independent prognostic factor affecting the 5-year LRR.
Conclusion: For breast cancer patients located in the outer quadrant and more than 9 axillary lymph node positives, increasing IMNI failed to improve the 5-year prognosis of the patients, and for patients with late N stage, PR receptor-negative, and vascularity cancer thrombosis positive, the 5-year OS of breast cancer postoperative patients could be reduced, and the PR receptor positivity could reduce the 5-year LRR of patients. There was no significant difference in 5-year late radiation adverse effects between the IMLNI and non-IMLNI groups.
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http://dx.doi.org/10.2147/BCTT.S487335 | DOI Listing |
Iran J Parasitol
January 2024
Department of Veterinary Medicine, College of Veterinary Science, Assam, India.
A 2-year-old female Assam Hill goat was presented with a clinical history of anorexia, fever, mild anemia, rough body coat, dehydration, tachycardia, dyspnea and swelling of palpable lymph nodes. Hematology revealed low hemoglobin, packed cell volume, red blood cell and thrombocyte count. Biochemical analysis showed increased serum concentration of alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine and urea in comparison to the normal reference range.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Background And Purpose: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Thoracic Surgery, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
Background: Extramedullary hemopoiesis (EMH) is a rare condition characterized by abnormal blood cell production outside the bone marrow, commonly occurring in the liver, spleen, lymph nodes, and less frequently in the mediastinum.
Case Presentation: This case involves a 68-year-old male patient who was found to have a posterior mediastinal mass upon examination. A surgical biopsy was performed, and pathological examination confirmed it to be extramedullary hemopoiesis (EMH).
Front Immunol
December 2024
Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, China.
Objective: To explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). The objective is to provide guidance for developing scientifically individualized treatment plans, assessing prognosis, and planning preoperative interventions.
Methods: A retrospective analysis was conducted on clinical and imaging data from 270 patients with BC confirmed by surgical pathology at the Third Hospital of Shanxi Medical University between November 2022 and April 2024.
J Cytol
November 2024
Department of Pathology, Tinsukia Medical College Hospital, Tinsukia, Assam, India.
Background: Fine-needle aspiration cytology (FNAC) of the lymph nodes is the first-line evaluation of lymphadenopathy of unknown etiology. For better diagnostic clarity and proper communication to clinicians, the Sydney System was proposed in 2020 for the performance, classification, and reporting of lymph node cytopathology. The present study was conducted to analyze the diagnostic performance and risk of malignancy (ROM) associated with each of the diagnostic categories of the proposed Sydney System.
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