Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloComputer-aided Recognition of Emphysema on Digital Chest Radiography
Anno di pubblicazione2010
FormatoElettronico
Autore/iMiniati, Massimo [ 1 ]; Coppini, Giuseppe [ 2 ]; Monti, Simonetta [ 2 ]; Bottai, Matteo [ 3,4 ]; Paterni, Marco [ 2 ]; Ferdeghini, Ezio Maria [ 2 ]
Affiliazioni autori[ 1 ] Univ Florence, Dept Med & Surg Crit Care, I-50134 Florence, Italy; [ 2 ] CNR-IFC, Inst Clin Physiol, I-56124 Pisa, Italy Pisa ; [ 3 ] Karolinska Inst, Inst Environm Med, Biostat Unit, S-17177 Stockholm, Sweden; [ 4 ] Univ S Carolina, Div Biostat, Arnold Sch Publ Hlth, Columbia, SC 29208 USA
Autori CNR e affiliazioni
  • EZIO MARIA FERDEGHINI
  • SIMONETTA MONTI
  • MASSIMO MINIATI
  • GIUSEPPE COPPINI
Lingua/e
  • inglese
AbstractBackground Computed tomography (CT) is the benchmark for diagnosis emphysema, but is costly and imparts a substantial radiation burden to the patient. Objective To develop a computer-aided procedure that allows recognition of emphysema on digital chest radiography by using simple descriptors of the lung shape. The procedure was tested against CT. Methods Patients (N=225), who had undergone postero-anterior and lateral digital chest radiographs and CT for diagnostic purposes, were studied and divided in a derivation (N=118) and in a validation sample (N=107). CT images were scored for emphysema using the picture-grading method. Simple descriptors that measure the bending characteristics of the lung profile on chest radiography were automatically extracted from the derivation sample, and applied to train a neural network to assign a probability of emphysema between 0 and 1. The diagnostic performance of the procedure was described by the area under the receiver operating characteristic curve (AUC). Results AUC was 0.985 (95% confidence interval, 0.965 to 0.998) in the derivation sample, and 0.975 (95% confidence interval, 0.936 to 0.998) in the validation sample. At a probability cutpoint of 0.55, the procedure yielded 92% sensitivity and 96% specificity in the derivation sample; 90% sensitivity and 97% specificity in the validation sample. False negatives on chest radiography had trace or mild emphysema on CT. Conclusions The computer-aided procedure is simple and inexpensive, and permits quick recognition of emphysema on digital chest radiographs
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da169
Pagine a175
Pagine totali6
RivistaEuropean journal of radiology
Attiva dal 1981
Editore: Georg Thieme - Stuttgart
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0720-048X
Titolo chiave: European journal of radiology
Titolo proprio: European journal of radiology.
Titolo abbreviato: Eur. j. radiol.
Titolo alternativo: EJR
Numero volume della rivista80
Fascicolo della rivista2
DOI10.1016/j.ejrad.2010.08.021
Verificato da refereeSì: Internazionale
Stato della pubblicazione-
Indicizzazione (in banche dati controllate)
  • ISI Web of Science (WOS) (Codice:000296360500027)
  • Scopus (Codice:2-s2.0-84859844260)
Parole chiaveemphysema, diagnosis, chest computed tomography, digital radiography, neural networks
Link (URL, URI)-
Titolo parallelo-
Licenza-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioniID_PUMA: cnr.ifc/2011-A0-113Avilable online September 15th, 2010
Strutture CNR
  • IFC — Istituto di fisiologia clinica
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-
Allegati
Computer-aided recognition of emphysema on digital chest radiography (documento privato )
Tipo documento: application/pdf

Dati associati a vecchie tipologie
I dati associati a vecchie tipologie non sono modificabili, derivano dal cambiamento della tipologia di prodotto e hanno solo valore storico.
Editore
  • Elsevier, Amsterdam (Paesi Bassi)

Dati storici
I dati storici non sono modificabili, sono stati ereditati da altri sistemi (es. Gestione Istituti, PUMA, ...) e hanno solo valore storico.
Area disciplinareMedical Research, Diagnosis & Treatment
Area valutazione CIVRScienze mediche
Rivista ISIEUROPEAN JOURNAL OF RADIOLOGY [04085J0]
NoteIn: European Journal of Radiology, vol. XX pp. XX - XX. Elsevier, 2010.