Subsolid lung nodule classification: A CT criterion for improving interobserver agreement

Radiology

Volumn 286, Issue 1, 2018, Pages 316-325

  Revel, Marie Pierre ^a   Mannes, Inès ^a   Benzakoun, Joseph ^a   Guinet, Claude ^a,d   Léger, Thomas ^a   Grenier, Philippe ^c   Grenier, Audrey ^b   Fournel, Ludovic ^a   Chassagnon, Guillaume ^a   Bommart, Sébastien ^e  

^a Institut Cochin   (France)

^b Departments of Pathology   (United States)

^c PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^d Center for Visual Computing   (France)

^e HÔPITAL ARNAUD DE VILLENEUVE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL FEATURE; CONTROLLED STUDY; DISEASE CLASSIFICATION; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LUNG ADENOCARCINOMA; LUNG NODULE; MAJOR CLINICAL STUDY; MALE; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; RETROSPECTIVE STUDY; TUMOR INVASION; TUMOR VOLUME; X-RAY COMPUTED TOMOGRAPHY; ADULT; AGED; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; LUNG TUMOR; MIDDLE AGED; MULTIPLE PULMONARY NODULES; OBSERVER VARIATION; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; STANDARDS; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG NEOPLASMS; MALE; MIDDLE AGED; MULTIPLE PULMONARY NODULES; OBSERVER VARIATION; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 85038949145     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2017170044     Document Type: Article

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