Variability and standardization of quantitative imaging: monoparametric to multiparametric quantification, radiomics, and artificial intelligence
Radiological images have been assessed qualitatively in most clinical settings by the expert
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
eyes of radiologists and other clinicians. On the other hand, quantification of radiological …
Lung nodules: size still matters
AR Larici, A Farchione, P Franchi… - European respiratory …, 2017 - Eur Respiratory Soc
The incidence of indeterminate pulmonary nodules has risen constantly over the past few
years. Determination of lung nodule malignancy is pivotal, because the early diagnosis of …
years. Determination of lung nodule malignancy is pivotal, because the early diagnosis of …
CT screening for lung cancer: part-solid nodules in baseline and annual repeat rounds
OBJECTIVE. The purpose of this study was to assess the frequencies of identifying
participants with part-solid nodules, of diagnostic pursuit, of diagnoses of lung cancer, and …
participants with part-solid nodules, of diagnostic pursuit, of diagnoses of lung cancer, and …
New trend in artificial intelligence-based assistive technology for thoracic imaging
Although there is no solid agreement for artificial intelligence (AI), it refers to a computer
system with intelligence similar to that of humans. Deep learning appeared in 2006, and …
system with intelligence similar to that of humans. Deep learning appeared in 2006, and …
Lung adenocarcinoma at CT with 0.25-mm section thickness and a 2048 matrix: high-spatial-resolution imaging for predicting invasiveness
M Yanagawa, M Tsubamoto, Y Satoh, A Hata, T Miyata… - Radiology, 2020 - pubs.rsna.org
Background High-spatial-resolution (HSR) CT provides detailed information and clear
delineation of lung anatomy and disease states. HSR CT may have high diagnostic …
delineation of lung anatomy and disease states. HSR CT may have high diagnostic …
Lung adenocarcinoma: correlation of quantitative CT findings with pathologic findings
JP Ko, J Suh, O Ibidapo, JG Escalon, J Li, H Pass… - Radiology, 2016 - pubs.rsna.org
Purpose To identify the ability of computer-derived three-dimensional (3D) computed
tomographic (CT) segmentation techniques to help differentiate lung adenocarcinoma …
tomographic (CT) segmentation techniques to help differentiate lung adenocarcinoma …
Controversies on lung cancers manifesting as part-solid nodules
R Yip, K Li, L Liu, D Xu, K Tam, DF Yankelevitz… - European …, 2018 - Springer
Purpose Summarise survival of patients with resected lung cancers manifesting as part-solid
nodules (PSNs). Methods PubMed/MEDLINE and EMBASE databases were searched for all …
nodules (PSNs). Methods PubMed/MEDLINE and EMBASE databases were searched for all …
HRCT features between lepidic-predominant type and other pathological subtypes in early-stage invasive pulmonary adenocarcinoma appearing as a ground-glass …
P Zhang, T Li, X Tao, X Jin, S Zhao - BMC cancer, 2021 - Springer
Background Different pathological subtypes of invasive pulmonary adenocarcinoma (IPA)
have different surgical methods and heterogeneous prognosis. It is essential to clarify IPA …
have different surgical methods and heterogeneous prognosis. It is essential to clarify IPA …
[HTML][HTML] Radiologic–pathologic correlation of solid portions on thin-section CT images in lung adenocarcinoma: a multicenter study
M Yanagawa, M Kusumoto, T Johkoh, M Noguchi… - Clinical lung cancer, 2018 - Elsevier
Background Measuring the size of invasiveness on computed tomography (CT) for the T
descriptor size was deemed important in the 8th edition of the TNM lung cancer …
descriptor size was deemed important in the 8th edition of the TNM lung cancer …
Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in …
Y Ohno, A Yaguchi, T Okazaki, K Aoyagi… - European journal of …, 2016 - Elsevier
Purpose To directly compare the capability of three reconstruction methods using,
respectively, forward projected model-based iterative reconstruction (FIRST), adaptive …
respectively, forward projected model-based iterative reconstruction (FIRST), adaptive …