Characterization of adnexal masses using feature analysis at contrast-enhanced helical computed tomography

Journal of Computer Assisted Tomography

Volumn 32, Issue 4, 2008, Pages 533-540

  Zhang, Jingbo ^a   Mironov, Svetlana ^a   Hricak, Hedvig ^a   Ishill, Nicole M ^a   Moskowitz, Chaya S ^a   Soslow, Robert A ^a   Chi, Dennis S ^a  

^a MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

Adnexa; Cancer; Mass; Ovarian; Tumor

Indexed keywords

DIAGNOSIS; HEALTH INSURANCE; PATHOLOGY; SURGERY;

ADNEXA; ADNEXAL MASS; CANCER; COMPUTED TOMOGRAPHIC; CONFIDENCE INTERVAL; CONTRAST-ENHANCED; FEATURE ANALYSIS; HELICAL COMPUTED TOMOGRAPHIES; MASS; OVARIAN;

COMPUTERIZED TOMOGRAPHY;

ABDOMEN; ADNEXA DISEASE; ADULT; AGED; ARTICLE; ASCITES; CANCER DIAGNOSIS; CLINICAL FEATURE; CONFIDENCE INTERVAL; CONTRAST ENHANCEMENT; DIAGNOSTIC ACCURACY; FEMALE; HEALTH INSURANCE; HUMAN; HUMAN TISSUE; INFORMED CONSENT; INSTITUTIONAL REVIEW; KAPPA STATISTICS; LYMPHADENOPATHY; OVARY CYST; PATIENT COMPLIANCE; PELVIS; PERITONEUM; PLEURA EFFUSION; PREDICTION; PREOPERATIVE EVALUATION; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SOLID TUMOR; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; TREATMENT PLANNING; UTERUS CANCER; ADOLESCENT; DIFFERENTIAL DIAGNOSIS; EVALUATION; FEMALE GENITAL SYSTEM; IMAGE QUALITY; METHODOLOGY; MIDDLE AGED; OBSERVER VARIATION; OVARY TUMOR; PAPILLARY CARCINOMA; PREDICTION AND FORECASTING; RADIOGRAPHY; REPRODUCIBILITY; ROC CURVE; SENSITIVITY AND SPECIFICITY;

CONTRAST MEDIUM;

ADNEXA UTERI; ADNEXAL DISEASES; ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CARCINOMA, PAPILLARY; CONTRAST MEDIA; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; MIDDLE AGED; OBSERVER VARIATION; OVARIAN NEOPLASMS; PREDICTIVE VALUE OF TESTS; RADIOGRAPHIC IMAGE ENHANCEMENT; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; ROC CURVE; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, SPIRAL COMPUTED;

EID: 49949092905     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/RCT.0b013e3181568890     Document Type: Article

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