Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?

European Respiratory Journal

Volumn 45, Issue 3, 2015, Pages 765-773

  Scholten, Ernst T ^a,b   De Jong, Pim A ^a   De Hoop, Bartjan ^a   Van Klaveren, Rob ^c   Van Amelsvoort Van De Vorst, Saskia ^a   Oudkerk, Matthijs ^d   Vliegenthart, Rozemarijn ^d   De Koning, Harry J ^e   Van Der Aalst, Carlijn M ^e   Vernhout, René M ^e   Groen, Harry J M ^d   Lammers, Jan Willem J ^a   Van Ginneken, Bram ^f   Jacobs, Colin ^f,g   Mali, Willem P T M ^a   Horeweg, Nanda ^e   Weenink, Carla ^b   Thunnissen, Erik ^h   Prokop, Mathias ^f   Gietema, Hester A ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b Kennemer Gasthuis ^*  (Netherlands)

^c Lievensberg Hospital   (Netherlands)

^d UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^e ERASMUS MEDICAL CENTER   (Netherlands)

^f RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

^g FRAUNHOFER MEVIS   (Germany)

^h VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CANCER GROWTH; CANCER SCREENING; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEMALE; FOLLOW UP; HUMAN; LUNG ADENOCARCINOMA; LUNG ALVEOLUS CELL CARCINOMA; LUNG CANCER; LUNG NODULE; LUNG RESECTION; MAJOR CLINICAL STUDY; MALE; MIDDLE AGED; NETHERLANDS; PATIENT MONITORING; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SUBSOLID LUNG NODULE; TUMOR VOLUME; DISSECTION; EARLY DIAGNOSIS; IMAGE PROCESSING; LUNG NEOPLASMS; MULTIPLE PULMONARY NODULES; OUTCOME ASSESSMENT; PATHOLOGY; PHYSIOLOGIC MONITORING; PREDICTIVE VALUE; PROCEDURES; RADIOGRAPHY; RANDOMIZED CONTROLLED TRIAL; REPRODUCIBILITY;

DISSECTION; EARLY DETECTION OF CANCER; FEMALE; FOLLOW-UP STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG NEOPLASMS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; MULTIPLE PULMONARY NODULES; NETHERLANDS; OUTCOME ASSESSMENT (HEALTH CARE); PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84923882097     PISSN: 09031936     EISSN: 13993003     Source Type: Journal    
DOI: 10.1183/09031936.00005914     Document Type: Article

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