Publications by authors named "M Kakihana"
Background: Limited reports exist regarding postoperative recurrent non-small cell lung cancer (NSCLC) without major driver mutations [epidermal growth factor receptor (EGFR) mutations or anaplastic lymphoma kinase (ALK) rearrangements] treated with immune checkpoint inhibitors (ICIs) when programmed cell death ligand 1 (PD-L1) is expressed in a real-world setting. The aim of this study was to evaluate the effect of ICIs for those NSCLC.
Methods: We enrolled 255 patients with postoperative recurrent NSCLC lacking EGFR mutations or ALK rearrangements who underwent lobectomy or more extensive resection between 2012 and 2021.
Article Synopsis
- The study addresses the challenge of distinguishing solid nodules from ground-glass lesions in lung cancer, particularly for tumors smaller than or equal to 2 cm, due to high variability in human assessments.
- It utilizes artificial intelligence (AI) to analyze and classify these nodules from a dataset of 246 patients, aiming to improve the accuracy of preoperative assessments by correlating AI findings with pathological results.
- The AI system successfully identified solid nodules with high confidence that were associated with a significant likelihood of malignancy and lymph node metastasis, suggesting that this approach could enhance surgical decision-making for lung cancer patients.
Intrathoracic Needle Migration from the Mediastinum into the Thoracic Cavity.
Ann Thorac Cardiovasc Surg
April 2024
Article Synopsis
- * The case study discusses the removal of a migrated needle that entered the right thoracic cavity after being inserted under the left clavicle.
- * Despite causing a pneumothorax, no significant complications arose, highlighting the importance of timely imaging and surgery for intrathoracic foreign objects.
Article Synopsis
- * Researchers analyzed cancerous lung tissue and corresponding non-cancerous tissue, along with saliva and plasma samples from lung cancer patients and healthy controls, finding several metabolites that differed significantly between groups.
- * A specific model using 12 unique salivary metabolites showed promise in distinguishing lung cancer patients from controls, with a notable discriminative ability of one metabolite, N-acetylspermidine, which may enhance non-invasive screening methods for the disease.
Introduction: Lung squamous cell carcinoma (LUSC) usually shows expansive growth with large tumor nests; few reports on invasive growth patterns (INF) in LUSC have been associated with poor prognosis in gastrointestinal and urothelial cancers. In this study, we examine the association between INF and the prognosis of LUSC.
Materials And Methods: We analyzed INF as a potential prognostic factor in 254 consecutive patients with LUSC who underwent complete surgical resection at our hospital between 2008 and 2017.