L Valentin1. 1. Department of Obstetrics and Gynecology, Lund University, University Hospital, Malmö, Sweden.
Abstract
OBJECTIVE: To cross-validate, prospectively, the diagnostic performance of established ultrasound methods for discrimination of benign and malignant pelvic masses. METHODS: A total of 173 consecutive women with a pelvic mass judged clinically to be of adnexal origin underwent preoperative ultrasound examination including color and spectral Doppler techniques. A total of 149 tumors were benign, and 24 were malignant. The sensitivity and false-positive rate with regard to malignancy were calculated for the following methods, using cut-off values recommended in previous publications: Lerner score; ultrasound morphology, i.e. tumors without solid components being classified as benign and tumors with solid components as malignant; tumor color score; pulsatility index; resistance index; time-averaged maximum velocity; peak systolic velocity; the combined use of ultrasound morphology and tumor color score and the combined use of ultrasound morphology and peak systolic velocity. Sensitivity and false-positive rate were also calculated for subjective evaluation of the gray-scale ultrasound image and for subjective evaluation of the gray-scale ultrasound image supplemented with subjective evaluation of color Doppler ultrasound examination. The confidence with which the diagnosis was made, based on subjective evaluation, was rated on a visual analog scale. RESULTS: Subjective evaluation of the gray-scale ultrasound image was by far the best method for distinguishing benign from malignant tumors (sensitivity 88%, false-positive rate 4%), followed in descending order by subjective evaluation of the gray-scale ultrasound image supplemented with color Doppler examination, the Lerner score and the time-averaged maximum velocity. Adding Doppler examination to subjective evaluation of the gray-scale image did not increase the number of correct diagnoses, but it increased the confidence with which a correct diagnosis was made in 14% of tumors. In 11 tumors (6% of the series as a whole), the addition of Doppler examination changed the diagnosis based on subjective evaluation of the gray-scale ultrasound image from an incorrect (n = 1) or uncertain (n = 10) diagnosis to a correct and confident diagnosis. CONCLUSION: In experienced hands, subjective evaluation of the gray-scale ultrasound image is the best ultrasound method for discriminating between benign and malignant adnexal masses. The main advantage of adding Doppler examination to subjective evaluation of the gray-scale image is an increase in the confidence with which a correct diagnosis is made.
OBJECTIVE: To cross-validate, prospectively, the diagnostic performance of established ultrasound methods for discrimination of benign and malignant pelvic masses. METHODS: A total of 173 consecutive women with a pelvic mass judged clinically to be of adnexal origin underwent preoperative ultrasound examination including color and spectral Doppler techniques. A total of 149 tumors were benign, and 24 were malignant. The sensitivity and false-positive rate with regard to malignancy were calculated for the following methods, using cut-off values recommended in previous publications: Lerner score; ultrasound morphology, i.e. tumors without solid components being classified as benign and tumors with solid components as malignant; tumor color score; pulsatility index; resistance index; time-averaged maximum velocity; peak systolic velocity; the combined use of ultrasound morphology and tumor color score and the combined use of ultrasound morphology and peak systolic velocity. Sensitivity and false-positive rate were also calculated for subjective evaluation of the gray-scale ultrasound image and for subjective evaluation of the gray-scale ultrasound image supplemented with subjective evaluation of color Doppler ultrasound examination. The confidence with which the diagnosis was made, based on subjective evaluation, was rated on a visual analog scale. RESULTS: Subjective evaluation of the gray-scale ultrasound image was by far the best method for distinguishing benign from malignant tumors (sensitivity 88%, false-positive rate 4%), followed in descending order by subjective evaluation of the gray-scale ultrasound image supplemented with color Doppler examination, the Lerner score and the time-averaged maximum velocity. Adding Doppler examination to subjective evaluation of the gray-scale image did not increase the number of correct diagnoses, but it increased the confidence with which a correct diagnosis was made in 14% of tumors. In 11 tumors (6% of the series as a whole), the addition of Doppler examination changed the diagnosis based on subjective evaluation of the gray-scale ultrasound image from an incorrect (n = 1) or uncertain (n = 10) diagnosis to a correct and confident diagnosis. CONCLUSION: In experienced hands, subjective evaluation of the gray-scale ultrasound image is the best ultrasound method for discriminating between benign and malignant adnexal masses. The main advantage of adding Doppler examination to subjective evaluation of the gray-scale image is an increase in the confidence with which a correct diagnosis is made.
Authors: C Van Holsbeke; B Van Calster; S Guerriero; L Savelli; F Leone; D Fischerova; A Czekierdowski; R Fruscio; J Veldman; G Van de Putte; A C Testa; T Bourne; L Valentin; D Timmerman Journal: Facts Views Vis Obgyn Date: 2009
Authors: Dirk Timmerman; François Planchamp; Tom Bourne; Chiara Landolfo; Andreas du Bois; Luis Chiva; David Cibula; Nicole Concin; Daniela Fischerova; Wouter Froyman; Guillermo Gallardo Madueño; Birthe Lemley; Annika Loft; Liliana Mereu; Philippe Morice; Denis Querleu; Antonia Carla Testa; Ignace Vergote; Vincent Vandecaveye; Giovanni Scambia; Christina Fotopoulou Journal: Int J Gynecol Cancer Date: 2021-06-10 Impact factor: 3.437
Authors: A Sharma; M Burnell; A Gentry-Maharaj; S Campbell; N N Amso; M W Seif; G Fletcher; C Brunell; G Turner; R Rangar; A Ryan; I Jacobs; U Menon Journal: Ultrasound Obstet Gynecol Date: 2016-02 Impact factor: 7.299