P
Philip Caligiuri
Researcher at University of Utah
Publications - 20
Citations - 2554
Philip Caligiuri is an academic researcher from University of Utah. The author has contributed to research in topics: Osteoporosis & Adalimumab. The author has an hindex of 11, co-authored 19 publications receiving 1926 citations. Previous affiliations of Philip Caligiuri include University of Illinois at Chicago & University of Chicago.
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Journal ArticleDOI
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G. Armato,Geoffrey McLennan,Luc Bidaut,Michael F. McNitt-Gray,Charles R. Meyer,Anthony P. Reeves,Binsheng Zhao,Denise R. Aberle,Claudia I. Henschke,Eric A. Hoffman,Ella A. Kazerooni,Heber MacMahon,Edwin J. R. van Beek,David F. Yankelevitz,Alberto Biancardi,Peyton H. Bland,Matthew S. Brown,Roger Engelmann,Gary E. Laderach,Daniel Max,Richard C. Pais,David Qing,Rachael Y. Roberts,Amanda R. Smith,Adam Starkey,Poonam Batra,Philip Caligiuri,Ali Farooqi,Gregory W. Gladish,C. Matilda Jude,Reginald F. Munden,Iva Petkovska,Leslie E. Quint,Lawrence H. Schwartz,Baskaran Sundaram,Lori E. Dodd,Charles Fenimore,David Gur,Nicholas Petrick,John Freymann,Justin Kirby,Brian Hughes,Alessi Vande Casteele,Sangeeta Gupte,Maha Sallam,Michael D. Heath,Michael Kuhn,Ekta Dharaiya,Richard Burns,David Fryd,Marcos Salganicoff,Vikram Anand,Uri Shreter,Stephen Vastagh,Barbara Y. Croft,Laurence P. Clarke +55 more
TL;DR: The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus and is expected to provide an essential medical imaging research resource to spur CAD development, validation, and dissemination in clinical practice.
Journal ArticleDOI
Multifractal radiographic analysis of osteoporosis
TL;DR: Computerized radiographic methods to evaluate bone structure, such as fractal analysis, may be helpful in better determining fracture risk in osteoporosis.
Journal ArticleDOI
Computerized radiographic analysis of osteoporosis : preliminary evaluation
TL;DR: Computerized texture analysis of the trabecular pattern on conventional spine radiographs was used and results suggest that this method of bone structure analysis, combined with BMD, may lead to a more sensitive and specific predictor of osteoporosis and risk of fracture.
Journal ArticleDOI
Assessment of Radiologist Performance in the Detection of Lung Nodules: Dependence on the Definition of “Truth”
Samuel G. Armato,Rachael Y. Roberts,Masha Kocherginsky,Denise R. Aberle,Ella A. Kazerooni,Heber MacMahon,Edwin J. R. van Beek,David F. Yankelevitz,Geoffrey McLennan,Michael F. McNitt-Gray,Charles R. Meyer,Anthony P. Reeves,Philip Caligiuri,Leslie E. Quint,Baskaran Sundaram,Barbara Y. Croft,Laurence P. Clarke +16 more
TL;DR: Substantial variability exists across radiologists in the task of lung nodule identification in CT scans, and even experienced thoracic radiologists may not perform well when measured against the "truth" established by other experienced radiologists.
Journal Article
Efficacy results of a 52-week trial of adalimumab in the treatment of refractory sarcoidosis
Nadera J. Sweiss,Imre Noth,Mehdi Mirsaeidi,Wei Zhang,Edward T. Naureckas,D. Kyle Hogarth,Mary E. Strek,Philip Caligiuri,Roberto F. Machado,Timothy B. Niewold,Joe G.N. Garcia,Aileen L. Pangan,Robert P. Baughman +12 more
TL;DR: In this small, open-label study, adalimumab improved refractory pulmonary sarcoidosis and was well tolerated (ClinicalTrials.gov identifier NCT00311246).