Pergamon
Ultrasoundin Med.& Biol.,Vol.20, No. 1, pp. 1-10, 1994
Copyright © 1994 Elsevier Science Ltd
Printedin the USA.All rightsreserved
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OOriginal Contribution
ANALYSIS OF ULTRASONOGRAPHIC PROSTATE IMAGES FOR THE
DETECTION OF PROSTATIC CARCINOMA: THE AUTOMATED
UROLOGIC DIAGNOSTIC EXPERT SYSTEM
A. L. HUYNEN, R. J. B. GIESEN, J. J. M. C. H. DE LA ROSETTE, R. G. AARNINK,
F. M. J. DEBRUYNE and H. WIJKSTRA
Department of Urology, University Hospital Nijmegen, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
(Received 6 April 1993; in final form 2 August 1993)
AbstractmThis paper describes a study on the automated analysis of ultrasonographic prostate images.
With image processing, tissue characterization in the prostate was performed to assess the probability of
malignancy. During prostate examinations, images were recorded at the positions where biopsies were
taken. The used samples were divided into three groups. Two of them were used for the construction of a
classification tree, and the third was used for the evaluation of this classification. A sensitivity of 80.6%
and specificity of 77.1% were reached retrospectively. In a prospective way, these results were 80.0%
and 88.2%, respectively. The prospective predictive value for cancer detection was 85.7%. The presented
prospective value for image analysis was almost twice as high as the values normally found for prostate
examination.
Key Words: Ultrasound, Texture, Tissue discrimination, Prostate, Cancer detection.
INTRODUCTION AND LITERATURE
In the United States, prostate cancer is the second most
diagnosed malignancy in men over 50 years old (Lee
et al. 1989a; Waterhouse and Resnick 1989). It is also
the most frequent male urological cancer with a grow-
ing incidence, depending on age. When it is diagnosed
in an early stage, however, prostatic carcinoma is cur-
able (Lee et al. 1989a, 1989c; Shinohara et al. 1989).
For the diagnosis of prostatism and the detection and
staging of prostate cancer, ultrasound is employed by
almost every urologist (Hodge et al. 1989; Lee et al.
1989a, 1989b; Scardino et al. 1989; Waterhouse and
Resnick 1989; Zielke et al. 1985) because it is inter-
active, easy to use, and a relatively cheap medical
imaging technique. The quality of TransRectal Ultra-
Sound (TRUS) has been improved markedly in the
past few years, and an experienced urologist can detect
suspicious lesions in the prostate with reasonable accu-
racy (Schuster et al. 1986, 1987; Shinohara et al. 1989).
However, some disadvantages are still attached to the
use of TRUS (Bertermann et al. 1989; Chodak et al.
1986; Dahnert et al. 1986; Hendrikx et al. 1990; Lee
et al. 1989c; Loch et al. 1990; Scardino et al. 1989;
Address correspondence to: A. L. Huynen.
Schuster et al. 1986; Shinohara et al. 1989; Waag et
al. 1991; Waterhouse and Resnick 1989; Zielke et al.
1985). The appearance of cancer lesions in an ultra-
sound image can vary, depending on the lesion type,
location and transducer. Malignant tumours can appear
anechoic, hypoechoic, or even isoechoic, and therefore
not all cancers can be detected with TRUS. In early
studies with 3.5 MHz transducers cancer was reported
to be hyperechoic. According to Shinohara et al. (1989)
this could be explained by the advanced stage of the
disease that was found in these studies. In this ad-
vanced stage of the disease, corpora amylacea could
be responsible for the increased echodensity. Lee et al.
(1989b) agreed with this explanation but also reported
dystrophic calcification in necrotic tumour tissue to be
responsible for the hyperechoic echopattern. With the
current 7 MHz transducers with better resolution, ma-
lignant lesions can be detected in an earlier stage, in
which they appear anechoic, hypoechoic or isoechoic.
D~ihnert et al. (1986) reported that a focal hypoechoic
area, corresponding to a tumour, surrounded by a
highly echogenic rim, represented a fibrous reaction in
some of their cases. This could explain the positive
findings of cancer in biopsies from hyperechoic regions
alongside a hypoechoic tumour.