A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: Results of a multicentre validation study

European Radiology

Volumn 20, Issue 8, 2010, Pages 1822-1830

  Lucidarme, Olivier ^a   Akakpo, Jean Paul ^a   Granberg, Seth ^b,c   Sideri, Mario ^d   Levavi, Hanoch ^e   Schneider, Achim ^f   Autier, Philippe ^g   Nir, Dror ^h   Bleiberg, Harry ⁱ  

^a PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^b KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

^c AKERSHUS UNIVERSITY HOSPITAL   (Norway)

^d EUROPEAN INSTITUTE OF ONCOLOGY   (Italy)

^e RABIN MEDICAL CENTER   (Israel)

^f CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^g INTERNATIONAL PREVENTION RESEARCH INSTITUTE   (France)

^h Advanced Medical Diagnostics SA   (Belgium)

ⁱ JULES BORDET INSTITUTE   (Belgium)

Author keywords

Ovarian cancer diagnosis; Ovarian HistoScanning; Tissue characterisation; Ultrasound

Indexed keywords

CA 125 ANTIGEN;

ADULT; AGED; ARTICLE; BENIGN TUMOR; BLOOD LEVEL; CANCER INVASION; CANCER SURGERY; CARCINOMATOSIS; COMPUTER ASSISTED RADIOGRAPHY; DIAGNOSTIC IMAGING; FEMALE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; OVARY ADENOCARCINOMA; OVARY CANCER; OVARY METASTASIS; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING; TRANSVAGINAL ECHOGRAPHY;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; EUROPE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MIDDLE AGED; OVARIAN NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SOFTWARE VALIDATION; ULTRASONOGRAPHY, DOPPLER; YOUNG ADULT;

EID: 77957939537     PISSN: 09387994     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00330-010-1750-6     Document Type: Article

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