High sensitivity of ultrasound for the diagnosis of tuberculosis in adults in South Africa: A proof-of-concept study.

Autor: Matthew Fentress, Patricia C Henwood, Priya Maharaj, Mohammed Mitha, Dilshaad Khan, Philip Caligiuri, Aaron S Karat, Stephen Olivier, Anita Edwards, Dirhona Ramjit, Nokwanda Ngcobo, Emily B Wong, Alison D Grant

Publikováno v: PLOS Global Public Health, Vol 2, Iss 10, p e0000800 (2022)

BackgroundThere are limited data on the performance characteristics of ultrasound for the diagnosis of pulmonary tuberculosis in both HIV-positive and HIV-negative persons. The objective of this proof-of-concept study was to determine the sensitivity

Externí odkaz: https://doaj.org/article/f47ba8c2238a42329d71365448bc03f0

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Autor: Reginald F. Munden, C. Matilda Jude, Alberto Biancardi, Lawrence H. Schwartz, Claudia I. Henschke, Charles R. Meyer, Amanda R. Smith, Nicholas Petrick, Vikram Anand, Geoffrey McLennan, Charles Fenimore, David F. Yankelevitz, David Qing, Uri Shreter, Stephen Vastagh, Ella A. Kazerooni, Poonam Batra, Richard Burns, Edwin J. R. van Beek, Rachael Y. Roberts, David Gur, Binsheng Zhao, Ekta Dharaiya, Brian Hughes, Ali Farooqi, Eric A. Hoffman, Richard C. Pais, Denise R. Aberle, Michael F. McNitt-Gray, Leslie E. Quint, Barbara Y. Croft, Adam Starkey, Sangeeta Gupte, Heber MacMahon, Daniel Max, Gary E. Laderach, Samuel G. Armato, David Fryd, Marcos Salganicoff, Luc Bidaut, Anthony P. Reeves, Roger Engelmann, Matthew S. Brown, Alessi Vande Casteele, Michael Kuhn, Justin Kirby, Philip Caligiuri, Lori E. Dodd, Gregory W. Gladish, Peyton H. Bland, Laurence P. Clarke, Maha Sallam, Baskaran Sundaram, Iva Petkovska, John Freymann, Michael D. Heath

Publikováno v: Medical Physics. 38:915-931

Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Da

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e976603c325f67af08e9b555cd992783
https://doi.org/10.1118/1.3528204

The influence of initial outlines on manual segmentation

Autor: Philip Caligiuri, Adam Starkey, William F. Sensakovic, Rachael Y. Roberts, Masha Kocherginsky, Samuel G. Armato, Christopher M. Straus

Publikováno v: Medical Physics. 37:2153-2158

Purpose: Initial outlines are often presented as an aid to reduce the time-cost associated with manual segmentation and measurement of structures in medical images. This study evaluated the influence of initial outlines on manual segmentation intraob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3a4e80c0514518be98c72eddea23ad0
https://doi.org/10.1118/1.3392287

Assessment of Radiologist Performance in the Detection of Lung Nodules

Autor: Heber MacMahon, Samuel G. Armato, Charles R. Meyer, Philip Caligiuri, David F. Yankelevitz, Geoffrey McLennan, Leslie E. Quint, Anthony P. Reeves, Laurence P. Clarke, Michael F. McNitt-Gray, Ella A. Kazerooni, Rachael Y. Roberts, Barbara Y. Croft, Denise R. Aberle, Baskaran Sundaram, Edwin J. R. van Beek, Masha Kocherginsky

Publikováno v: Armato, S G, Roberts, R Y, Kocherginsky, M, Aberle, D R, Kazerooni, E A, Macmahon, H, Van Beek, E J R, Yankelevitz, D, Mclennan, G, Mcnitt-gray, M F, Meyer, C R, Reeves, A P, Caligiuri, P, Quint, L E, Sundaram, B, Croft, B Y & Clarke, L P 2009, ' Assessment of Radiologist Performance in the Detection of Lung Nodules ', Academic Radiology, vol. 16, no. 1, pp. 28-38 . https://doi.org/10.1016/j.acra.2008.05.022

Rationale and ObjectivesStudies that evaluate the lung-nodule-detection performance of radiologists or computerized methods depend on an initial inventory of the nodules within the thoracic images (the “truth”). The purpose of this study was to a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eab245ce239a9c1e78108a0afb9a2dc
https://doi.org/10.1016/j.acra.2008.05.022

Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sectionsa)

Autor: Samuel G. Armato, Philip Caligiuri, Adam Starkey, William F. Sensakovic

Publikováno v: Medical Physics. 33:3085-3093

Segmentation of the lungs within magnetic resonance (MR) scans is a necessary step in the computer-based analysis of thoracic MR images. This process is often confounded by image acquisition artifacts and disease-induced morphological deformation. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b6a015d54b4b5001560cfda0ba209e5
https://doi.org/10.1118/1.2214165