Utilidad de la reconstrucción de proyección de máxima intensidad para la lectura de los estudios realizados en un programa de detección precoz de cáncer de pulmón por tomografía computarizada multicorte de baja dosis de radiación

Alemañ, Gorka Bastarrika; Echávarri, P.D. Domínguez; Tajadura, Javier; Sarasa, María A. Martínez; Díaz-Tejeiro, B. Zudaire; Zulueta, Javier J.

doi:10.1016/s0033-8338(08)71969-6

Cited by 3 publications

(1 citation statement)

References 33 publications

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“…Bastarrika et al [ 27 ] showed that non-overlapping 10-mm-thick axial MIP reconstructions in an LCS study enabled more accurate detection of pulmonary nodules in comparison with 1.25-mm conventional axial images. Jankowski et al [ 28 ] evaluated the diagnostic benefits of MIP and a CAD system for pulmonary nodules detection compared with 1-mm LDCT images.…”

Section: Ldct: Reading Methods and Nodule Detectionmentioning

confidence: 99%

Low-dose CT: technique, reading methods and image interpretation

2012

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The National Lung Cancer Screening Trial has recently demonstrated that screening of high-risk populations with the use of low-dose computed tomography (LDCT) reduces lung cancer mortality[1]. Based on this encouraging result, the National Comprehensive Cancer Network guidelines recommended LDCT for selected patients at high risk of lung cancer[2]. This suggests that an increasing number of CT screening examinations will be performed. The LDCT technique is relatively simple but some CT parameters are important and should be accurately defined in order to achieve good diagnostic quality and minimize the delivered dose. In addition, LDCT examinations are not as easy to read as they may initially appear; different approaches and tools are available for nodule detection and measurement. Moreover, the management of positive results can be a complex process and can differ significantly from routine clinical practice. Therefore this paper deals with the LDCT technique, reading methods and interpretation in lung cancer screening, particularly for those radiologists who have little experience of the technique.

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Section: Ldct: Reading Methods and Nodule Detectionmentioning

confidence: 99%

Low-dose CT: technique, reading methods and image interpretation

2012

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Spectrum of early lung cancer presentation in low-dose screening CT: a pictorial review

et al. 2016

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The typical presentation of early stage lung cancers on low-dose CT screening are non-calcified pulmonary nodules. However, there is a wide spectrum of unusual focal abnormalities that can be early presentations of lung cancer. These abnormalities include, for example, cancers associated with ‘cystic airspaces’ or scar-like cancers. The detection of lung cancer with low-dose CT can be affected by the absence of intravenous contrast medium. As a consequence, endobronchial and central lesions can be difficult to recognize, raising the potential for missed cancers. Focal lesions arising within pre-existing lung disease, such as lung fibrosis or apical scars, can also be early lung cancer manifestations and deserve particular consideration as recognition of these lesions may be hindered by the underlying disease. Furthermore, the unpredictable growth rate of lung cancer, which ranges from indolent to aggressive cancers, necessitates attention to the wide spectrum of progression in lung cancer appearance on serial low-dose CT scans. In this pictorial review we discuss the spectrum of early lung cancer presentation in low-dose CT screening, highlighting typical as well as unusual radiological features and the varied growth rates of early lung cancer.Teaching Points• There is a wide spectrum of early presentations of lung cancer on LDCT.• Low radiation dose and the absence of contrast medium injection can affect lung cancer detection.• Lung cancer growth shows various behaviours, ranging from indolent to aggressive cancers.• Familiarity with LDCT technique can improve CT screening effectiveness and avoid missed diagnosis.

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Lung cancer screening: nodule identification and characterization

Vlahos

Stefanidis

Sheard

et al. 2018

Transl. Lung Cancer Res.

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The accurate identification and characterization of small pulmonary nodules at low-dose CT is an essential requirement for the implementation of effective lung cancer screening. Individual reader detection performance is influenced by nodule characteristics and technical CT parameters but can be improved by training, the application of CT techniques, and by computer-aided techniques. However, the evaluation of nodule detection in lung cancer screening trials differs from the assessment of individual readers as it incorporates multiple readers, their inter-observer variability, reporting thresholds, and reflects the program accuracy in identifying lung cancer. Understanding detection and interpretation errors in screening trials aids in the implementation of lung cancer screening in clinical practice. Indeed, as CT screening moves to ever lower radiation doses, radiologists must be cognisant of new technical challenges in nodule assessment. Screen detected lung cancers demonstrate distinct morphological features from incidentally or symptomatically detected lung cancers. Hence characterization of screen detected nodules requires an awareness of emerging concepts in early lung cancer appearances and their impact on radiological assessment and malignancy prediction models. Ultimately many nodules remain indeterminate, but further imaging evaluation can be appropriate with judicious utilization of contrast enhanced CT or MRI techniques or functional evaluation by PET-CT.

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Utilidad de la reconstrucción de proyección de máxima intensidad para la lectura de los estudios realizados en un programa de detección precoz de cáncer de pulmón por tomografía computarizada multicorte de baja dosis de radiación

Cited by 3 publications

References 33 publications

Low-dose CT: technique, reading methods and image interpretation

Low-dose CT: technique, reading methods and image interpretation

Spectrum of early lung cancer presentation in low-dose screening CT: a pictorial review

Lung cancer screening: nodule identification and characterization

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