Risk prediction model boosts accuracy of CT lung screening

Researchers from the University of Pittsburgh developed a statistical model...Read more on AuntMinnie.comRelated Reading: AI reliably characterizes pulmonary nodules on CT AI spots lung nodules on CT, with low false-positive rate New AI algorithm identifies small lung tumors on CT scans Risk-based CT lung screening could be more efficient Lung cancer risk model optimizes follow-up CT screening
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news

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ConclusionPatients with cancer who need treatment can be treated by taking some measures. These measures include observing individual and collective protection principles in patients and health-care personnel, increasing patients ’ awareness particularly about self-care behavior, performing a COVID-19 test, and taking a chest X-ray, before the treatment starts
Source: International Journal of Clinical Oncology - Category: Cancer & Oncology Source Type: research
CT scans have been proven to help spot lung cancer early and save lives. Now, updated expert recommendations could double the number of Americans who are eligible for the yearly screening.
Source: WebMD Health - Category: Consumer Health News Source Type: news
Conclusion: The fluid-assisted separation technology disc platform enables serial monitoring of CTC counts, DNA mutations, as well as unbiased molecular characterization of individual CTCs associated with tumor progression during targeted therapy.
Source: Theranostics - Category: Molecular Biology Authors: Tags: Research Paper Source Type: research
Abstract Despite magnetic resonance imaging (MRI) being a mainstay in the oncologic care for many disease sites, it has not routinely been used in early lung cancer diagnosis, staging, and treatment. While MRI provides improved soft tissue contrast compared to computed tomography (CT), an advantage in multiple organs, the physical properties of the lungs and mediastinum create unique challenges for lung MRI. Although multi-detector CT remains the gold standard for lung imaging, advances in MRI technology have led to its increased clinical relevance in evaluating early stage lung cancer. Even though positron emissi...
Source: Clinical Lung Cancer - Category: Cancer & Oncology Authors: Tags: Clin Transl Radiat Oncol Source Type: research
An artificial intelligence (AI) neural network used with lung CT scans can...Read more on AuntMinnie.comRelated Reading: Diagnostic brain imaging overused for lung cancer Mobile CT improves access to lung cancer screening AI predicts lung cancer survival from CT scan data SABR plus surgery is effective for treating lung cancer New SPECT tracer targets NSCLC receptor
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
This study included 202 selected patients with persistent, partly solid GGNs detected on thin-slice CT after surgical treatment between 2004 and 2013. We compared the differences in tumor diameters measured by 2 different radiologists using a repeated-measures analysis of variance. We divided the patients into 2 groups based on the clinical T stage (T1a+T1b vs T1c) and estimated the probability of overall survival (OS) and disease-free survival (DFS) using Kaplan–Meier curves. The study included 94 male and 108 female patients. The inter-reviewer differences between tumor diameters were significantly smaller when th...
Source: Medicine - Category: Internal Medicine Tags: Research Article: Observational Study Source Type: research
CONCLUSIONS: From the critical discussion and an outline for prospective directions, this survey provide researchers valuable information to master the deep learning concepts and to deepen their knowledge of the trend and latest techniques in developing CAD schemes of lung CT images. PMID: 32568165 [PubMed - as supplied by publisher]
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research
A 70 ‐year‐old male was referred to our hospital with lower limb muscle weakness and numbness of the left hand. The patient had previously been diagnosed seven years ago with lung cancer accompanied by central airway obstruction and had received chemoradiotherapy following placement of a metallic ste nt. Computed tomography (CT) scan revealed an osteolytic lesion which was adjacent to the fractured stent. T2‐weighted magnetic resonance imaging (MRI) demonstrated high signal intensity in the disc space. The patient was diagnosed with spondylodiscitis and spinal epidural abscess related to the a irway stent. Despite he...
Source: Thoracic Cancer - Category: Cancer & Oncology Authors: Tags: CASE REPORT Source Type: research
In conclusion, we have found that a tuberculosis scar is a risk factor of lung cancer, especially adenocarcinoma, and more attention should be paid to close monitoring and follow‐up by clinicians.
Source: Thoracic Cancer - Category: Cancer & Oncology Authors: Tags: CASE REPORT Source Type: research
Authors: Lee J, Moon SW, Choi JS, Hyun K, Moon YK, Moon MH Abstract Background: Risk assessment for pulmonary resection in patients with early-stage non-small-cell lung cancer (NSCLC) is important for minimizing postoperative morbidity. Depletion of skeletal muscle mass is closely associated with impaired nutritional status and limited physical ability. We evaluated the relationship between skeletal muscle depletion and early postoperative complications in patients with early-stage NSCLC. Methods: Patients who underwent curative lung resection between 2016 and 2018 and who were diagnosed with pathological stage...
Source: Korean Journal of Thoracic and Cardiovascular Surgery - Category: Cardiovascular & Thoracic Surgery Tags: Korean J Thorac Cardiovasc Surg Source Type: research
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