LIKELIHOOD RATIOS FOR CLINICAL EXAMINATION, MAMMOGRAPHY, ULTRASOUND AND FINE-NEEDLE BIOPSY IN WOMEN WITH BREAST PROBLEMS

Citation
N. Houssami et L. Irwig, LIKELIHOOD RATIOS FOR CLINICAL EXAMINATION, MAMMOGRAPHY, ULTRASOUND AND FINE-NEEDLE BIOPSY IN WOMEN WITH BREAST PROBLEMS, Breast, 7(2), 1998, pp. 85-89
Citations number
25
Categorie Soggetti
Oncology,"Obsetric & Gynecology
Journal title
BreastACNP
ISSN journal
09609776
Volume
7
Issue
2
Year of publication
1998
Pages
85 - 89
Database
ISI
SICI code
0960-9776(1998)7:2<85:LRFCEM>2.0.ZU;2-O
Abstract
Instead of the conventionally used sensitivity and specificity, we pre sent likelihood ratios (LRs) as a better measure of the accuracy of cl inical examination, mammography, ultrasound and fine needle aspiration cytology in women presenting with breast problems. In addition, we po int out that previous studies are prone to verification bias in the se lection of subjects, and demonstrate methods of avoiding this problem. Both issues are illustrated using a dataset consisting of 7259 women who attended the Sydney-Square Breast Clinic consecutively in 1994, of whom 375 had surgical biopsy and 145 were found to have malignancy. I nformation on the non-cancer group was based on all women with a benig n outcome on surgical biopsy and, to avoid verification bias, a sample of 232 subjects chosen randomly from consecutive attenders. LRs for f ive levels of each test, categorized from normal to malignant, ranged from 0.43 to 46.41 for clinical examination, from 0.18 to infinity for mammography, from 0.17 to infinity for ultrasound, and from 0.009 to infinity for cytology. LRs calculated using only subjects with a benig n outcome on histology differed appreciably from those calculated usin g the more appropriate random sample of all non-cancers. Future resear chers need to avoid verification bias in studies of test accuracy by i ncluding a random sample of consecutive subjects rather than only thos e who proceed to histology. LRs have an advantage over sensitivity and specificity because they provide a measure of test accuracy which all ows test results to be reported as several categories. In clinical pra ctice, these LRs are easy to use to calculate the probability of cance r.