CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms

ConclusionSeveral radiomic features (including wavelet energies, information measures of correlation and maximum probability from co-occurrence matrix, busyness from neighborhood intensity-difference matrix, directionalities from Tamura ’s texture, and fractal dimension estimation) significantly associated with distant metastasis, nodal metastasis, and histology were discovered in this work, presenting great potential as imaging biomarkers for pathological diagnosis and target therapy decision.
Source: International Journal of Computer Assisted Radiology and Surgery - Category: Intensive Care Source Type: research

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Conclusion: A COPD/emphysema based strategy for the selection of LCS candidates is feasible. The prevalence of LC in our high risk cohort was 2.31%. 64% of patients were operable, and median survival at 4 years was 94%.
Source: European Respiratory Journal - Category: Respiratory Medicine Authors: Tags: Lung cancer Source Type: research
ConclusionThe iodine quantification parameters derived from enhanced DE-CT during the VP may be useful for distinguishing lung squamous cell carcinoma from adenocarcinoma.
Source: Academic Radiology - Category: Radiology Source Type: research
Abstract OBJECTIVE: Non-invasive distinction between squamous cell carcinoma and adenocarcinoma subtypes of non-small-cell lung cancer (NSCLC) may be beneficial to patients unfit for invasive diagnostic procedures or when tissue is insufficient for diagnosis. The purpose of our study was to compare the performance of random forest algorithms utilizing CT radiomics and/or semantic features in classifying NSCLC. METHODS: Two thoracic radiologists scored 11 semantic features on CT scans of 106 patients with NSCLC. A set of 115 radiomics features was extracted from the CT scans. Random forest models were develope...
Source: The British Journal of Radiology - Category: Radiology Authors: Tags: Br J Radiol Source Type: research
Conclusion: In view of the poor specificity, the current study calls for reconsideration of the universal recommendation of dedicated brain imaging (in addition to PET/CT scan) among NSCLC patients beyond stage I. PMID: 31116030 [PubMed - as supplied by publisher]
Source: Journal of Comparative Effectiveness Research - Category: General Medicine Tags: J Comp Eff Res Source Type: research
Conclusions: Hypermetabolic changes on DTP 18F-FDG PET showed good correlation with tumor positive expression of PD-L1 and high density of CD8 TILs and PD-1 in tumor immune microenvironment. Furthermore, dSUVmax was an independent predictor of PD-L1 expression in pretreated NSCLC.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Lung Cancer I: Molecular Biomarkers and Molecular Imaging Signatures Source Type: research
1331Purpose: To explore the relationship between 18F-FDG PET/CT derived parameters including maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG) of primary tumor and serous tumor markers, and also to assess their differences between stage Ia~IIIa and stage IIIb~IVb in different histopathologic subtypes of lung cancer. Methods: A total of 101 newly diagnosed lung cancer patients (72 males, 29 females; average age 65.5 years) with pathologically proven were retrospectively analyzed, who had undergone 18F-FDG PET/CT scan before treatment from September 2016 to February 2018....
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Lung Cancer Posters Source Type: research
Conclusions: Baseline MTV based parameters evaluated from primary tumor as well as the whole body tumor lesions are reliable prognostic markers of OS in NSCLC patients. Also, among the post-therapy parameters and percentage changes, whole body MTV based parameters i.e. post-TLGwb and TLGwb can predict OS of NSCLC patients.However, SUV based whole body PET/CT parameters (SUVmax, SUVavg, and TBR) evaluated from baseline as well as post-therapy scans have no prognostic value in these patients.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Lung Cancer Posters Source Type: research
Conclusions: Locally stationary wavelet field texture analysis model can differentiate responders and non-responders in Non-Small cell lung cancer (NSCLC) patients with high accuracy using baseline F-18 FDG PET/CT images.
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Technical Advances Posters Source Type: research
Conclusions: In OSCC, very low preoperative NLR values have a negative prognostic impact on survival and recurrence, similarly to high ratios. ENE and perineural spread are the most important clinical-pathologic prognosticators. Introduction Oral squamous cell carcinoma (OSCC) accounts for more than 95% of oral tumors and is the eighth most frequent cancer worldwide, with an estimated incidence of 640,000 new cases per year (1). Survival of OSCC has slightly improved over the last 30 years, probably as a consequence of multimodal treatment spreading. However, intensified therapeutic regimens can result in signific...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
Authors: Snoeckx A, Reyntiens P, Carp L, Spinhoven MJ, El Addouli H, Van Hoyweghen A, Nicolay S, Van Schil PE, Pauwels P, van Meerbeeck JP, Parizel PM Abstract "Lung cancer associated with cystic airspaces" is an uncommon manifestation, in which lung cancer presents on imaging studies with a cystic area with associated consolidation and/or ground glass. With the widespread use of computed tomography (CT), both in clinical practice and for lung cancer screening, these tumors are being more frequently recognized. An association of this entity with smoking has been established with the majority of cases repo...
Source: Journal of Thoracic Disease - Category: Respiratory Medicine Tags: J Thorac Dis Source Type: research
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