Pelvic examination, tumor marker level, and gray-scale and Doppler sonography in the prediction of pelvic cancer. 1997

L D Roman, and L I Muderspach, and S M Stein, and S Laifer-Narin, and S Groshen, and C P Morrow
Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, USA.

OBJECTIVE To determine the ability of pelvic examination, tumor marker assessment, and transvaginal ultrasonography, with selected use of Doppler ultrasonography, to predict pelvic malignancy. METHODS Two hundred twenty-six women scheduled for operative removal of a pelvic mass were entered in the study prospectively. Each woman underwent pelvic examination, tumor marker assessment, and transvaginal ultrasonography preoperatively. Women whose gray-scale findings were suspicious for malignancy underwent Doppler ultrasonography. Suspicious findings included masses that were fixed or irregular on pelvic examination; CA 125 level greater than 35 U/mL; elevations in serum lactic dehydrogenase, alpha-fetoprotein, or hCG; and the presence of a substantial solid component on gray-scale ultrasonography. Suspicious Doppler findings included intratumoral color flow, pulsatility index less than 1.0, or resistance index 0.4 or lower. The findings were correlated with the presence of malignancy. RESULTS If all three indicators (examination, tumor marker assessment, and gray-scale ultrasound findings) were nonsuspicious, 99% of premenopausal women and 100% of postmenopausal women had benign masses. If all three indicators were suspicious, 77% of premenopausal women and 83% of postmenopausal women had malignant tumors. Logistic regression identified ultrasound impression and tumor size to be significant predictors of malignancy in premenopausal women, whereas CA 125 level and ultrasound impression were significant in postmenopausal women. In patients with suspicious gray-scale findings, recategorization based on Doppler findings resulted in inferior diagnostic indices. CONCLUSIONS Ultrasonographic tumor size and appearance are the best predictors of pelvic malignancy in premenopausal women, whereas CA 125 level and ultrasonographic appearance are the best predictors in postmenopausal women. Neither color nor spectral Doppler is useful in this setting.

UI MeSH Term Description Entries
D010386 Pelvic Neoplasms Tumors or cancer of the pelvic region. Cancer of Pelvis,Pelvic Cancer,Cancer of the Pelvis,Neoplasms of Pelvis,Pelvis Cancer,Pelvis Neoplasms,Cancer, Pelvic,Cancer, Pelvis,Cancers, Pelvic,Cancers, Pelvis,Neoplasm, Pelvic,Neoplasm, Pelvis,Neoplasms, Pelvic,Neoplasms, Pelvis,Pelvic Cancers,Pelvic Neoplasm,Pelvis Cancers,Pelvis Neoplasm
D010808 Physical Examination Systematic and thorough inspection of the patient for physical signs of disease or abnormality. Physical Exam,Examination, Physical,Physical Examinations and Diagnoses,Exam, Physical,Examinations, Physical,Exams, Physical,Physical Examinations,Physical Exams
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D011446 Prospective Studies Observation of a population for a sufficient number of persons over a sufficient number of years to generate incidence or mortality rates subsequent to the selection of the study group. Prospective Study,Studies, Prospective,Study, Prospective
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D014408 Biomarkers, Tumor Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or BODY FLUIDS. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including HORMONES; ANTIGENS; amino and NUCLEIC ACIDS; ENZYMES; POLYAMINES; and specific CELL MEMBRANE PROTEINS and LIPIDS. Biochemical Tumor Marker,Cancer Biomarker,Carcinogen Markers,Markers, Tumor,Metabolite Markers, Neoplasm,Tumor Biomarker,Tumor Marker,Tumor Markers, Biochemical,Tumor Markers, Biological,Biochemical Tumor Markers,Biological Tumor Marker,Biological Tumor Markers,Biomarkers, Cancer,Marker, Biochemical Tumor,Marker, Biologic Tumor,Marker, Biological Tumor,Marker, Neoplasm Metabolite,Marker, Tumor Metabolite,Markers, Biochemical Tumor,Markers, Biological Tumor,Markers, Neoplasm Metabolite,Markers, Tumor Metabolite,Metabolite Markers, Tumor,Neoplasm Metabolite Markers,Tumor Markers, Biologic,Tumor Metabolite Marker,Biologic Tumor Marker,Biologic Tumor Markers,Biomarker, Cancer,Biomarker, Tumor,Cancer Biomarkers,Marker, Tumor,Markers, Biologic Tumor,Markers, Carcinogen,Metabolite Marker, Neoplasm,Metabolite Marker, Tumor,Neoplasm Metabolite Marker,Tumor Biomarkers,Tumor Marker, Biochemical,Tumor Marker, Biologic,Tumor Marker, Biological,Tumor Markers,Tumor Metabolite Markers
D016001 Confidence Intervals A range of values for a variable of interest, e.g., a rate, constructed so that this range has a specified probability of including the true value of the variable. Confidence Interval,Interval, Confidence,Intervals, Confidence
D017697 Premenopause The period before MENOPAUSE. In premenopausal women, the climacteric transition from full sexual maturity to cessation of ovarian cycle takes place between the age of late thirty and early fifty. Pre-Menopause,Pre-menopausal Period,Premenopausal Period,Period, Pre-menopausal

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