Preoperative Risk Factors for Pathologic N2 Metastasis in Positron Emission Tomography-Computed Tomography-Diagnosed N0-1 Non-Small Cell Lung Cancer.
This study aimed to determine the preoperative risk factors for pN2 disease, as well as its incidence and long-term outcomes, in patients with clinical N0-1 non-small cell lung cancer. Methods: We retrospectively analyzed patients who were treated surgically for primary non-small cell lung cancer from November 2005 to December 2014. Patients staged as clinical N0-1 via chest computed tomography (CT) and positron emission tomography (PET)-CT were divided into two groups (pN0-1 and pN2) and compared. Results: In a univariate analysis, the significant preoperative risk factors for pN2 included a large tumor size (p=0.083), high maximum standard uptake value on PET (p
ConclusionThe PET/CT-based radiomic features showed good performance in predicting EGFR mutation in non-small cell lung cancer, providing a useful method for the choice of targeted therapy in a clinical setting.
ConclusionsBevacizumab intrapleural infusion had higher efficiency and higher safety than intravenous infusion in the management of malignant pleural effusion caused by NSCLC. The decreased level of serum VEGF at 72 hours after bevacizumab treatment was closely related to the response rate and duration of the response of pleural effusion.
CONCLUSION: The pre-selected RFs were insignificant in predicting PFS in combination with GTV, clinical stage and histology. These results might be due to variations in technical parameters. However, it is relevant to question whether RFs are stable enough to provide clinically useful information. PMID: 31733491 [PubMed - as supplied by publisher]
Lung cancer has been identified as the leading cause of cancer-related deaths worldwide and one of the most common malignancies in China . More and more non-small cell lung cancer (NSCLC) patients have been observed in the screening projects for detection of early stage lung cancer with the use of low dose computed tomography (CT) . Accurate imaging for evaluation of the Lymph Node Metastases (LNM) could affect the treatment of these patients . Many imaging modalities such as CT, Magnetic Resonance Imaging (MRI), Positron Emission Tomography-CT (PET-CT), as well as other diagnostic techniques like ultrasound-guide...
AbstractIn 1995, Ginsberg et al. compared lobectomy with limited resection including segmentectomy and wide-wedge resection for stage I lung cancer in a randomized controlled trial and found that limited resection should not be applied to otherwise healthy patients with clinical stage IA lung cancer who can tolerate lobectomy. However, recent advances in diagnostic technology have improved the precision of detecting early-stage and small lung cancers. Therefore, whether radical segmentectomy, anatomical segmentectomy with hilar and mediastinal lymph node dissection (that is more valuable than wedge resection in terms of on...
ConclusionThis pilot study showed that MSAF could be another good indicator of therapeutic response, and clonal analysis could be clinically useful in monitoring clonal dynamics and detecting remote metastasis and early relapse.
CONCLUSION: Muscle wasting occurred frequently and early during primary anti-neoplastic treatment. Protein intake seems important for maintaining skeletal muscle. Validated dietary methods in cancer patients must be identified and the optimal protein quantity and intake pattern to support muscle maintenance should be explored in future trials. PMID: 31677719 [PubMed - in process]
CONCLUSION: A history of asthma may be associated with a higher grade of pneumonitis if it develops, and a history of smoking may augment this relationship. PMID: 31665718 [PubMed - as supplied by publisher]
CONCLUSION: MRS/CD45 dual IF staining showed good diagnostic performance and may be a good tool complementing conventional cytology test for determining LN metastasis of NSCLC. PMID: 31637881 [PubMed - in process]
In conclusion, tumor imaging phenotypes that are driven by somatic mutations may be predicted by radiomics based on PET/CT images.