Objective: To determine the performance of intravoxel incoherent motion (IVIM) parameters and the extracellular volume fraction (ECV) in distinguishing between different subtypes of lung cancer and predicting lymph node metastasis (LNM) status in patients with non-small-cell lung cancer (NSCLC).
Methods: One hundred sixteen patients with lung cancer were prospectively recruited. IVIM, native, and postcontrast T1 mapping examinations were performed, and the T1 values were measured to calculate the ECV. The differences in IVIM parameters and ECV were compared between NSCLC and small-cell lung cancer (SCLC), adenocarcinoma (Adeno-Ca) and squamous cell carcinoma (SCC), and NSCLC without and with LNM. The assessment of each parameter's diagnostic performance was based on the area under the receiver operating characteristic curve (AUC).
Results: The apparent diffusion coefficient (ADC), true diffusion coefficient (D), and ECV values in SCLC were considerably lower compared with NSCLC (all p < 0.001, AUC > 0.887). The D value in SCC was substantially lower compared with Adeno-Ca (p < 0.001, AUC = 0.735). The perfusion fraction (f) and ECV values in LNM patients were markedly higher compared with those without LNM patients (p < 0.01, < 0.001, AUC > 0.708).
Conclusion: IVIM parameters and ECV can serve as non-invasive biomarkers for assisting in the pathological classification and LNM status assessment of lung cancer patients.
Critical Relevance Statement: IVIM parameters and ECV demonstrated remarkable potential in distinguishing pulmonary carcinoma subtypes and predicting LNM status in NSCLC.
Key Points: Lung cancer is prevalent and differentiating subtype and invasiveness determine the treatment course. True diffusion coefficient and ECV showed promise for subtyping and determining lymph node status. These parameters could serve as non-invasive biomarkers to help determine personalized treatment strategies.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11227484 | PMC |
| http://dx.doi.org/10.1186/s13244-024-01758-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction.
Soft comput
August 2024
Department of Computer Science and Engineering, GITAM School of Technology, GITAM University, Bengaluru, India.
[This retracts the article DOI: 10.1007/s00500-023-08313-7.].
View Article and Find Full Text PDFSurgical outcomes, survival and prognostic factors in a cohort of lung cancer patients operated at the University of Chile Clinical Hospital.
Medwave
January 2025
Departamento de Cirugía, Hospital Clínico de la Universidad de Chile, Chile.
Introduction: Lung cancer is the leading cause of death by cancer worldwide and has a high lethality. The best treatment for patients with localized disease is anatomical surgical resection, granting good average survival in the long term. We did not find Chilean studies focusing on complications, long term survival or potential association with pathological or clinical factors.
View Article and Find Full Text PDFInvestigation of biometabolites and novel antimicrobial peptides derived from promising source Cordyceps militaris and effect of non-small cell lung cancer genes computationally.
PLoS One
January 2025
Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Mushrooms are considered one of the safe and effective medications because they have great economic importance due to countless biological properties. Cordyceps militaris contains bioactive compounds with antioxidant, antimicrobial and anti-cancerous properties. This study was projected to analyze the potentials of biometabolites and to extract antimicrobial peptides and protein from the C.
View Article and Find Full Text PDFOutpatient Palliative Care and End-of-Life Care Intensity: Linking Massachusetts Cancer Registry with All-Payer Claims.
JNCI Cancer Spectr
January 2025
Division of General Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Early palliative care is associated with better outcomes for patients with advanced-stage cancers. Using a novel data linkage, we assessed outpatient palliative care use before death and its association with end-of-life care intensity and variation across eight provider networks.
Methods: We linked Massachusetts Cancer Registry and the All-Payer Claims Database for individuals with commercial insurance, Medicaid or Medicare Advantage diagnosed with colorectal, lung, prostate, and breast cancers from 2010 through 2013 who died by December 31, 2014.
Long-term smoking contributes to aging frailty and inflammatory response.
Biomol Biomed
January 2025
China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China; Harmful Components and Tar Reduction in Cigarette Key Laboratory of Sichuan Province, Chengdu, China; Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
In recent years, the health challenges linked to frailty in the elderly, particularly those worsened by cigarette smoke, have become more pronounced. However, quantitative studies examining the impact of smoking dosage on frailty in this population remain limited. To address this gap, we developed a model using smoke-exposed elderly mice.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!