Home Usefulness of Temporal Subtraction Images for Identification of Interval Changes in Successive Whole-Body Bone Scans JAFROC Analysis of Radiologists’ Performance
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Usefulness of Temporal Subtraction Images for Identification of Interval Changes in Successive Whole-Body Bone Scans JAFROC Analysis of Radiologists’ Performance

Rationale and Objectives

We evaluated the usefulness of temporal subtraction images obtained from two successive whole-body bone scans, in terms of improvement in radiologists’ diagnostic accuracy in detecting interval changes and of a reduction in reading time, by use of a jackknife free-response receiver operating characteristic (JAFROC) analysis method.

Materials and Methods

Twenty pairs of successive whole-body bone scans (72 consented interval changes) and their temporal subtraction images were used for an observer performance study. Our institutional review board approved the use of this database and the participation of radiologists in this study. In the first session of the observer study, without temporal subtraction images, the previous and current images were shown to five radiologists independently for their marking of the locations on current images and confidence ratings on potential interval changes from previous images. In the second session, temporal subtraction images were shown together with the modified previous and current images. JAFROC analysis was used for assessing the statistical significance of differences between radiologists’ performance without and with temporal subtraction images.

Results

The average sensitivity for detecting interval changes was improved from 58.6% to 73.2% at a false-positive rate of two per case by use of temporal subtraction images, and the difference was statistically significant by use of JAFROC analysis ( P = .035). In addition, the mean reading time per case was reduced considerably from 134 seconds to 91 seconds ( P < .01).

Conclusions

Temporal subtraction imaging for successive whole-body bone scans has the potential greatly to assist radiologists by increasing both their accuracy and productivity.

Bone scintigraphy is one of the most frequent examinations among various diagnostic nuclear medicine procedures. For example, based on the results of a comprehensive survey of radiology practice worldwide, the United Nations Scientific Committee on the Effects of Atomic Radiation ( ) reported that bone scintigraphy accounted for 24.0% of all diagnostic nuclear medicine procedures for the period 1991–1996 in the specific group of countries of health care level I, in which a country has more than one physician per 1,000 population. The whole-body bone scan examination with use of the radioisotope of technetium-99m methylene diphosphonate hydroxymethane diphosphonate is commonly employed for imaging of new bone formation and for demonstrating all-inclusively increased or decreased gamma-ray emissions localized at the site of bone abnormalities. These bone abnormalities may occur because of the presence of almost any skeletal pathology such as skeletal metastases, osteosarcoma, osteomyelitis, or nondisplaced fractures. Although the sensitivity of bone scan examinations for the detection of bone abnormalities has been considered to be relatively high, it is time-consuming to identify multiple lesions such as bone metastases of prostate or breast cancers. In addition, because of variations in patient conditions, the accumulation of radioisotopes during each examination, and the image quality of gamma cameras, it is difficult to detect subtle changes between two successive abnormal bone scans.

To assist radiologists in interpreting whole-body bone scans, we developed a computerized temporal subtraction technique that can highlight interval changes between successive whole-body bone scans ( ). A temporal subtraction technique for detecting interval changes between two successive chest radiographs has been described previously ( ). To our knowledge, however, there has been no application, in bone scans, of a temporal subtraction scheme by use of a nonlinear image-warping technique, and thus no observer performance study was reported on the effect of the temporal subtraction scheme on the detection of interval changes in successive whole-body bone scans.

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Materials and methods

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Figure 1, Illustration of the temporal subtraction technique for bone scan images. (a) Previous image, (b) nonlinear warped previous image after density normalization and size adjustment, (c) current image, and (d) temporal subtraction image.

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Figure 2, Illustration of the PC-based interface for the observer performance study by free-response receiver operating characteristic analysis. The rating bar in the dialog window (middle-upper) popped up when the observer clicked on a point where he or she suspected that an interval change was present.

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Results

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Figure 3, Average free-response receiver operating characteristic curves for the five radiologists’ performance in the detection of interval changes in 20 successive whole-body bone scans without and with temporal subtraction images.

Table 1

Figure-of-Merit (FOM) Values Obtained From Jackknife Free-Response Receiver Operating Characteristic Analysis (Method 1) and Mean Reading Time per Case Without and With Temporal Subtraction (TS) Images for the Five Radiologists

FOM Mean Reading Time per Case [seconds] Reader Without TS With TS Without TS With TS_P_ Value A 0.587 0.695 164.7 98.3 (59.7%) <.0001 B 0.532 0.657 94.8 73.0 (77.0%) <.001 C 0.452 0.478 125.5 72.3 (57.6%) <.0001 D 0.506 0.690 188.7 149.4 (79.1%) .164 E 0.461 0.545 98.0 60.8 (62.0%) <.001 Mean 0.508 0.613 134.3 90.7 (67.5%)

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Discussion

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Figure 4, (a) The faint spine metastasis has increased very subtly in the interval, but its change is accentuated on the temporal subtraction image (right). (b) In the current image (center), subtle new symmetric sacral-ileac lesions are present. This type of lesion is not likely to be detected in routine imaging examinations. (c) Numerous lesions are present at baseline (left), and they result both in hot and cold interval changes. It would be time-consuming and difficult to characterize them without a temporal subtraction image (right).

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Acknowledgments

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References

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