Results 1 to 10 of about 971,492 (311)

A pulmonary nodule mislocated in “dorsal” segment due to tri-lobed left lung [PDF]

open access: yesFrontiers in Surgery, 2023
BackgroundThe left lung has two lobes and one fissure, while the right lung has three lobes and two fissures. Accessory fissures are usually found in imaging examinations and autopsies; however, finding an actual accessory lobe is rare.Case ...
Xiaohong Lyu   +5 more
doaj   +2 more sources

Volumetry versus linear diameter lung nodule measurement: an ultra-low-dose computed tomography lung cancer screening study [PDF]

open access: yesDigital Diagnostics, 2023
BACKGROUND: The DutchBelgian Randomized Lung Cancer Screening Trial (NELSON) used a volume-based protocol and significantly reduced the prevalence of false-positive results (2.1%).
Maria M. Suchilova   +7 more
doaj   +1 more source

Rheumatoid lung nodule [PDF]

open access: yesBMJ Case Reports, 2015
A 61-year-old woman was under treatment with a combination of methotrexate and leflunomide for seropositive rheumatoid arthritis (RA) for the past 6 years. She presented to us 6 months earlier with grade 1 dyspnoea of 3-month duration. She was a non-smoker. On evaluation, her vitals, and respiratory and cardiovascular system were normal.
Parikshit, Sagdeo   +3 more
openaire   +2 more sources

PCP lung nodules [PDF]

open access: yesBMJ Case Reports, 2019
A 54-year-old Caucasian man presented to the emergency department complaining of worsening productive cough, weight loss and left-sided chest pain lasting 1 month. He did not have a fever. He had a medical history of HIV diagnosed 22 years ago and had not been receiving any antiretroviral ...
Emad, Abu Sitta   +3 more
openaire   +2 more sources

High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels

open access: yesBMC Medical Imaging, 2021
Background Reidentification of prior nodules for temporal comparison is an important but time-consuming step in lung cancer screening. We develop and evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in radiology
Yeshwant Reddy Chillakuru   +9 more
doaj   +1 more source

The impact of lung parenchyma attenuation on nodule volumetry in lung cancer screening

open access: yesInsights into Imaging, 2021
Background Recent recommendations for lung nodule management include volumetric analysis using tools that present intrinsic measurement variability, with possible impacts on clinical decisions and patient safety.
Diana Penha   +6 more
doaj   +1 more source

Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre

open access: yesFrontiers in Medicine, 2021
Importance: The stratification of indeterminate lung nodules is a growing problem, but the burden of lung nodules on healthcare services is not well-described.
Benjamin Hunter   +20 more
doaj   +1 more source

Performance of Deep-Learning Solutions on Lung Nodule Malignancy Classification: A Systematic Review

open access: yesLife, 2023
Objective: For several years, computer technology has been utilized to diagnose lung nodules. When compared to traditional machine learning methods for image processing, deep-learning methods can improve the accuracy of lung nodule diagnosis by avoiding ...
Hailun Liang   +7 more
doaj   +1 more source

Trade-off between benefits, harms and economic efficiency of low-dose CT lung cancer screening: a microsimulation analysis of nodule management strategies in a population-based setting

open access: yesBMC Medicine, 2017
Background In lung cancer screening, a nodule management protocol describes nodule assessment and thresholds for nodule size and growth rate to identify patients who require immediate diagnostic evaluation or additional imaging exams.
Marina Treskova   +5 more
doaj   +1 more source

Automated identification of lung nodules [PDF]

open access: yes2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008
A system that can automatically detect nodules within lung images may assist expert radiologists in interpreting the abnormal patterns as nodules in 2D CT lung images. A system is presented that can automatically identify nodules of various sizes within lung images. The pattern classification method is employed to develop the proposed system.
Shu Ling Alycia Lee   +2 more
openaire   +1 more source

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