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AJR 2001; 177:1397-1403
© American Roentgen Ray Society


Detection of Porcine Bone Lesions and Fissures

Comparing Digital Selenium, Digital Luminescence, and Analog Film-Screen Radiography

Markus Zähringer1, Barbara Krug1, Karl-F. Kamm2, Gernot Wassmer3, Martin Hellmich3, Guido Winnekendonk1, Jonas Andermahr4, Axel Goßmann1 and Klaus J. Lackner1

1 Department of Radiology, University of Cologne Medical School, University of Cologne, Kerpenerstr. 62, 50924 Cologne, Germany.
2 Philips Medical Systems, Röntgenstr. 24, 22335 Hamburg, Germany.
3 Department of Medical Statistics, Informatics and Epidemiology, University of Cologne Medical School, 50924 Cologne, Germany.
4 Department of Trauma, Hand and Reconstructive Surgery, University of Cologne Medical School, 50924 Cologne, Germany.

Received November 7, 2000; accepted after revision June 22, 2001.

 
Supported by a grant from the research funding program KÖLN FORTUNE of the University of Cologne.

Address correspondence to M. Zähringer.


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The purpose of our study was to compare the diagnostic performance of a digital selenium detector (Thoravision) with that of analog film-screen systems and digital luminescence radiography in skeletal radiography for the detection of fissures and lesions in porcine bones.

MATERIALS AND METHODS. One hundred bones taken from domestic pigs (50 ribs and 50 femurs) were divided into two equal groups. Fissures and bone lesions were created in 50 bones and 50 served as controls. The bones were examined using film-screen systems, digital luminescence radiography, and digital selenium radiography at various doses. Digital selenium radiography exposure values were adapted to the image geometry differing from the reference methods with a detector focus distance of 2.15 m. Four radiologists independently evaluated image quality and detectability of fissures and lesions on a five-point scale of confidence. Statistical evaluation was based on receiver operating characteristic curve analysis.

RESULTS. Fissures and bone lesions were detected most reliably using the mammography film-screen system, but the difference in the results of the analog and digital reference images did not achieve statistical significance.

CONCLUSION. Compared with analog film-screen systems, the lower spatial resolution of the digital selenium and digital luminescence radiography systems does not affect detectability of fissures and bone lesions in porcine bone. Selenium is effective in skeletal radiography for detecting fissures and bone lesions. With digital selenium and digital luminescence radiography, the surface dose can be cut to half that required for 200-speed film-screen systems without losing any diagnostically relevant information.


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
In large radiology centers, approximately 70% of all diagnostic imaging procedures are still carried out using projection-based radiographic techniques. To use modern documentation and communication systems, projection-based radiography must be digitalized [1, 2]. Skeletal radiographic examinations are the second most common radiologic method. It is important that these systems have a high spatial resolution and sharp contrast to accommodate the high contrast among bone, soft tissue, and fine osseous structures [3, 4].

Analog film-screen systems have a spatial resolution of up to 15 line pairs per millimeter (lp/mm). However, they are limited by a narrow, diagnostically usable exposure range that is characterized by the linear portion of the optical density curve. This narrow range can result in false exposures [5].

With regard to the maximum spatial resolution mathematically possible, the digital radiography systems available thus far have proven inferior to analog film-screen systems [5]. Storage phosphor radiography was introduced in the early 1980s [6]. The system is cassette-based and therefore in contrast to the existing systems for digital selenium radiography compatible with existing radiographic equipment. Instead of conventional film-screen combinations, storage phosphor radiography uses a photostimulable phosphor screen as the image receptor. The maximum spatial resolution of digital luminescence radiography mathematically possible ranges between 2.5 and 5 lp/mm.

Selenium radiography is a new digital detection method for chest imaging. This method eliminates the noise sources associated with multiple conversions by (in contrast to digital luminescence radiography) directly converting X-ray quanta into carriers of electric charges and by virtue of the fact that the selenium is in an amorphous state [7,8,9]. The literature contains a plethora of reports on the possible and potential uses of digital selenium radiography in chest imaging [10,11,12,13].

The digital selenium radiography system (Thoravision; Philips Medical Systems, Hamburg, Germany) we investigated has a mathematic spatial resolution of 2.8 lp/mm, which is less than that of analog film-screen systems. This fact begs the question, will the lower spatial resolution compared with analog film-screen systems lead to a diagnostically relevant loss of information in bone radiography, or can such a loss be compensated by improved quantum efficiency and dynamic range?

We attempted to answer this question by comparing the digital detector system Thoravision with various film-screen systems and digital luminescence radiographic methods. The test applications involved the imaging of cortical and cancellous bone and the detection of artificially created fissures and lesions in bones removed from domestic pigs.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Animal Specimens
One hundred bones (50 ribs and 50 femurs) were taken from domestically bred pigs. Soft tissue was partially removed to create subtle fissures and bone lesions in 50 bones. To produce the fissures, we clamped the ribs and femurs into a vise that was rotated until the bones fractured. By this method, it was possible to create subtle fissures similar to actual fractures in a clinical setting. Additionally, we produced bone lesions by means of screws used for wood. By this method, it is not possible to control exactly the size and extent of the lesion or to select cortical versus cancellous lesions. We chose this method because the borders of such lesions are not sharp, so they correspond much more to osteolysis in a clinical setting than would bone lesions created by a drill. Images were taken using various analog film-screen systems, digital luminescence, and digital selenium radiography (Fig. 1A,1B,1C,1D,1E,1F,1G). The different exposures were prepared in direct succession in the same plane using the different techniques to ensure a consistent basis for the analog film-screen systems and digital methods. Our study received no financial industrial support.



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Fig. 1A. Images of porcine ribs with subtle fissures and bone lesions. Analog film-screen images shown are from mammography film (A), 200-speed film-screen (B), and 400-speed film-screen (C).

 


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Fig. 1B. Images of porcine ribs with subtle fissures and bone lesions. Analog film-screen images shown are from mammography film (A), 200-speed film-screen (B), and 400-speed film-screen (C).

 


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Fig. 1C. Images of porcine ribs with subtle fissures and bone lesions. Analog film-screen images shown are from mammography film (A), 200-speed film-screen (B), and 400-speed film-screen (C).

 


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Fig. 1D. Images of porcine ribs with subtle fissures and bone lesions. Digital images shown are from digital selenium radiography (D) and digital luminescence radiography (E) at dose values corresponding to 200-speed film-screen systems.

 


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Fig. 1E. Images of porcine ribs with subtle fissures and bone lesions. Digital images shown are from digital selenium radiography (D) and digital luminescence radiography (E) at dose values corresponding to 200-speed film-screen systems.

 


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Fig. 1F. Images of porcine ribs with subtle fissures and bone lesions. Digital images shown are from digital selenium radiography (F) and digital luminescence radiography (G) at dose values corresponding to 400-speed film-screen systems.

 


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Fig. 1G. Images of porcine ribs with subtle fissures and bone lesions. Digital images shown are from digital selenium radiography (F) and digital luminescence radiography (G) at dose values corresponding to 400-speed film-screen systems.

 

Digital Selenium Radiography
The Thoravision digital chest radiography unit uses a selenium-coated drum as the radiographic detector. The selenium surface is positively charged before imaging. The charge of the core of the metal drum is negative. Selenium is an element that acts as a photosemiconductor. In other words, because the action of the X rays produces an electric conductivity proportional to the radiation intensity, an equilibrium of local charges occurs during X-ray exposure, thereby creating a charged pattern proportional to the dose on the selenium surface. After exposure, the electric charges are measured. The resulting signal is converted from analog to digital and transferred to the image processor [7,8,9].

We used the following geometric parameters for selenium radiographic imaging: film focus distance, 215 cm; maximum image size, 43 x 49 cm; matrix size, 2166 x 2488 pixels; and pixel size, 0.2 mm. In the Thoravision system, analog signals are converted to digital values with a precision of 14 bits. To avoid rounding errors, we performed calculations with 15 bits, which are stored in 2 bytes. Before starting the study, the device's image processing algorithms were optimized to the reproduction of bone with heightened fine-detail contrast and noise suppression. The selected settings were not changed throughout the study. The digitalized image was printed on a laser printer with a reproduction matrix of 4256 x 5174 pixels (Matrix LR 3300; Agfa Medical Division, Cologne, Germany; film: Scopix LT 2B Dayl.-A1, Agfa) and was stored on an optical storage plate.

Digital Luminescence Radiography
The technical and physical principles of digital luminescence radiography are known [5, 6, 14]. The PCR AC3 (Philips Medical Systems) was used as the detector system; it has an imaging matrix of 1770 x 2370 pixels at an image depth of 12 bits. Cassettes with a format of 18 x 24 cm were used, the pixel size of the luminescence radiographic films was 0.1 mm, and the nominal spatial resolution was 5 lp/mm. The pictures were documented on a laser imager (Imation Dryview 8700; Kodak Health Imaging, Stuttgart, Germany; film size, 35 x 43 cm; pixel size, 78 mm) with a reproduction matrix of 4620 x 5596 pixels. The postprocessing of the digitalized images was optimized to the visualization of long bones and performed in the same fashion throughout the study.

Analog Film-Screen Systems
The analog images were produced with 200- and 400-speed film-screen combinations (film: Curix HT 1000 G Plus SF, Agfa; screens: Ortho medium and regular, Agfa) and with mammography film (Min-R 2000; Kodak Health Imaging). The spatial resolution was 8 lp/mm for the 200-speed film-screen system, 6 lp/mm for the 400-speed film-screen system, and 15 lp/mm for mammography film.

The following exposure parameters were used for analog and digital images for ribs: mammography film, 48 kV and 7.1 mAs; 200-speed film-screen system, 43 kV and 4 mAs; 400-speed film-screen system, 43 kV and 2.5 mAs; digital luminescence radiography, 43 kV and 4 mAs; and digital selenium radiography, 44 kV and 16 mAs. The parameters for femurs were mammography film, 56 kV and 16 mAs; 200-speed film-screen system, 49 kV and 8 mAs; 400-speed film-screen system, 49 kV and 5 mAs; digital luminescence radiography, 49 kV and 8 mAs; and digital selenium radiography, 48 kV and 32 mAs. The film focus distance was 1.05 m for the analog images and digital luminescence radiography. The selenium radiographic exposure values were adapted to the focus detector distance, which was 2.15 m. Additionally, low-dose images were prepared for digital luminescence and digital selenium radiography in which the detector dose corresponded to the values used in the 400-speed film-screen system.

Evaluation
Analog and digital images were separated and made anonymous. The resulting 700 pictures were randomly coded and given to four independent reviewers for interpretation (one specialist in radiology, two residents in radiology in their fifth year of training, and one resident in emergency surgery in his fourth year of training). The reviewers interpreted the radiographs directly on the viewboxes under standard conditions without using any additional illumination lamps. The following rating scale was used for assessing the image quality for visualizing cortical and cancellous bone: 1, well visualized in all sections; 2, well visualized in some sections; 3, sufficiently visualized; 4, inadequately visualized; and 5, not assessable.

The four reviewers assessed the localization of the fissures and bone lesions artificially created in the animal specimens according to the following criteria: 1, definite fissure or cortical lesion; 2, probable fissure or cortical lesion; 3, uncertain; 4, probably not a fissure or cortical lesion; and 5, definitely not a fissure or cortical lesion. The reviewers were also required to state the number of definitely and probably distinguishable bone lesions.

Statistical Methods
The image quality of cortical and cancellous bone as assessed by each reviewer was analyzed separately using paired t tests for the mean. A global assessment was obtained by averaging the four results for each bone. Receiver operating characteristic (ROC) analyses were performed to compare the diagnostic accuracy of the imaging techniques. A total of 112 ROC curves were constructed for each of the four reviewers, seven techniques, two types of bone, and fissure or osteolyses. The Mean row in Tables 2,3,4,5 corresponds to the area under the ROC curve of the averaged ratings of the four reviewers.


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TABLE 2 Subtle Fissures on Porcine Ribs: Areas Under Receiver Operating Characteristic (ROC) Curve

 

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TABLE 3 Subtle Fissures on Porcine Femurs: Areas Under Receiver Operating Characteristic (ROC) Curve

 

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TABLE 4 Cortical Lesions on Porcine Ribs: Areas Under Receiver Operating Characteristic (ROC) Curve

 

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TABLE 5 Cortical Lesions on Porcine Femurs: Areas Under Receiver Operating Characteristic (ROC) Curve

 

A nonparametric approach described by DeLong et al. [15] was used for paired comparison of the correlated areas under the ROC curves derived from the seven techniques. A computer code implementing the approach of DeLong et al. was downloaded from the Internet [16]. A p value of less than 0.05 was considered significant [15].


Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Image Quality of Cortical and Cancellous Bone
When the quality of cortical and cancellous bone images was evaluated, the images produced by the mammography method for both ribs and femurs scored better than all the other projection techniques (cortical bone: ribs, 1.57; femurs, 1.47; cancellous bone: ribs, 1.68; femurs, 1.65). The score for digital selenium radiography (cortical bone: ribs, 1.91; femurs, 1.78; cancellous bone: ribs, 2.14; femurs, 1.99) was neither significantly better nor significantly worse than digital luminescence radiography and 200- and 400-speed film-screen systems. This statement also applied when the interpretations of all reviewers were combined and to the individual assessment of the results, which are presented in Table 1.


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TABLE 1 Image Quality of Cancellous and Cortical Bone in Porcine Ribs and Femurs: Averaged Results from Four Reviewers

 

Image quality did not score more poorly when 50% of the surface dose of a 200-speed film-screen system was used. Scores for digital luminescence radiography of cortical bone were ribs, 2.09 and femurs, 1.86; and of cancellous bone were ribs, 2.22 and femurs, 2.09. Scores for digital selenium radiography of cortical bone were ribs, 2.10 and femurs, 2.05; and of cancellous bone were ribs, 2.39 and femurs, 2.14.

Evaluation of Fissures
Tables 2 and 3 show the areas under the ROC curves with respect to fissures for each individual reviewer and averaged across all reviewers according to the individual radiology methods. No statistically significant difference was seen in diagnostic performance on the basis of the image quality of the individual examination methods for either ribs or femurs.

Evaluation of Bone lesions
Tables 4 and 5 show the areas under the ROC curves with respect to lesions for the individual reviewers and averaged across all reviewers for the individual radiology methods. Figure 2A,2B,2C,2D presents the ROC curves generated for the individual reviewers for interpretation of hind leg bone lesions. No statistically significant difference was seen among the diagnostic reliability of the individual examination methods in detecting bone lesions when all reviewers were considered together and separately.



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Fig. 2A. Osteolyses on porcine femurs: receiver operating characteristic curves for seven imaging methods per rater. 200 = 200-speed film-screen radiography, 400 = 400-speed film-screen radiography, Mammo = mammography, Selen = digital selenium radiography, DLR = digital luminescence radiography. Graphs show trade-offs between sensitivity and specificity for reviewers 1 (A), 2 (B), 3 (C), and 4 (D) for seven imaging methods.

 


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Fig. 2B. Osteolyses on porcine femurs: receiver operating characteristic curves for seven imaging methods per rater. 200 = 200-speed film-screen radiography, 400 = 400-speed film-screen radiography, Mammo = mammography, Selen = digital selenium radiography, DLR = digital luminescence radiography. Graphs show trade-offs between sensitivity and specificity for reviewers 1 (A), 2 (B), 3 (C), and 4 (D) for seven imaging methods.

 


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Fig. 2C. Osteolyses on porcine femurs: receiver operating characteristic curves for seven imaging methods per rater. 200 = 200-speed film-screen radiography, 400 = 400-speed film-screen radiography, Mammo = mammography, Selen = digital selenium radiography, DLR = digital luminescence radiography. Graphs show trade-offs between sensitivity and specificity for reviewers 1 (A), 2 (B), 3 (C), and 4 (D) for seven imaging methods.

 


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Fig. 2D. Osteolyses on porcine femurs: receiver operating characteristic curves for seven imaging methods per rater. 200 = 200-speed film-screen radiography, 400 = 400-speed film-screen radiography, Mammo = mammography, Selen = digital selenium radiography, DLR = digital luminescence radiography. Graphs show trade-offs between sensitivity and specificity for reviewers 1 (A), 2 (B), 3 (C), and 4 (D) for seven imaging methods.

 


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
In the 1980s, many authors studied the image quality requirements for projection-based radiographic examination methods in relation to the specific organ system [5, 17,18,19,20]. It was proven that resolutions of 0.6, 1.3, and 5.0 lp/mm, corresponding to a pixel size between 1.0 and 0.1 mm, are necessary for reliable visualization of coin lesions, septal lines, and pneumothoraces in chest imaging.

Murphey et al. [4] carried out studies on digitalized skeletal images and proved that a pixel size of at least 0.16 mm, corresponding to a nominal spatial resolution of 2.8 lp/mm, was necessary to detect nondisplaced fractures. The spatial resolution requirements for detection of subperiosteal lesions are higher—that is, a pixel size of at least 0.1 mm, corresponding to a nominal spatial resolution of 5.7 lp/mm [3, 4]. By contrast, a more recent article by Murphey et al. [21], who used a primary digitalizing device, established that a spatial resolution of 2.5-5 lp/mm, corresponding to a pixel size of 0.2-0.1 mm, is sufficient for detection in musculoskeletal imaging.

This finding has several explanations. First, the geometric resolution was measured on lead grids that, as high-contrast phantoms, are not suitable for imaging of osseous details that do not contrast well with their surroundings [22]. Second, it was shown that the signal-to-noise ratio is a more decisive parameter for the correct detection of poor-contrast objects [22]. From the literature it is known that the signal-to-noise ratio for digital selenium radiography is best among all methods compared in our study [8, 11]. The requirements for comparatively high spatial resolution in diagnostic skeletal radiography have been established in part by studies on digitalized radiographic projections [3, 4]. However, secondary digitalization can store only the information that was originally present on the analog image. The dynamic range of analog projection-based radiographic imaging is markedly narrower than all the digital reference methods. In other words, digitalized images do not use the good contrast resolution available with direct digital techniques.

In the 1990s, many authors compared the diagnostic merits of digital luminescence radiography with those of analog film-screen systems and ranked them as comparable [2, 23,24,25,26]. The indications studied spanned the fields of traumatology, rheumatology, and oncology, to name a few. Our data agree with and underscore the results of previous authors who rated the diagnostic performance of digital luminescence radiography for detecting bone lesions and fissures as equivalent or superior to analog film-screen methods [2, 23, 25].

The advantage of digital selenium radiography compared with analog film-screen systems and digital luminescence radiography is that no intermediate luminescence is required. Therefore, the noise sources associated with multiple conversions are eliminated. At least theoretically, this means that the signal-to-noise distance is also greater than with digital luminescence radiography [11]. This might be one way to improve the detail recognition that is so important in the detection of small, weakly opaque structures such as bone lesions and fissures, and might provide the opportunity for dose reduction compared with film-screen systems. Background noise is likewise reduced by the amorphous state of the selenium in comparison with microcrystalline phosphor layers, thereby achieving better imaging detail. In contrast to the conditions prevailing on amplifying screens, the thickness of the selenium layer has no effect on spatial resolution. Although the light quanta produced by film-screen systems and digital luminescence radiography are distributed through the layer and form "confusion areas," the strong electric field in selenium ensures vertical transport of the charge carrier to the selenium surface. Hence, the selenium layer itself can be regarded as a virtually perfect X-ray detector that has no adverse effects on the image signal, nor does it create any external noise in the system [8]. Digital selenium radiography allows more enhanced discrimination among subtle contrast differences and thus lends itself well to imaging of the human body.

One limitation of the Thoravision selenium system compared with the analog film-screen systems and the luminescence radiographic device we tested was its lower nominal spatial resolution (i.e., 2.8 lp/mm) [7, 8]. Nonetheless, our results show that despite a lower spatial resolution, the diagnostic reliability of digital selenium radiography is comparable with that of both digital luminescence radiography and analog film-screen systems in the detection of fissures and bone lesions in the rib and hind leg bones of domestic pigs. In a recently published work, Ludwig et al. [27] reached the same conclusion, but the detectability of only bone lesions was tested. The main difference between our study and the study by Ludwig et al. is that we additionally created fissures similar to actual fractures in a clinical setting. We also think that our bone lesions are quite similar to osteolysis in patients because the lesions in our study were created by wood screws and not by a drill. The edges of bone lesions created by a drill are much sharper and, in our opinion, not comparable to clinical osteolysis.

Although the image quality of cancellous and cortical bone in the anatomic specimens studied in images taken by the mammography method was significantly better than in all other projection methods, no diagnostic benefit was gained. Fissures and bone lesions were detected most reliably using the mammography method, but the difference from the results of the analog and digital reference images did not achieve statistical significance. By contrast, the surface dose used for mammographic imaging was higher than the dose with digital selenium and digital luminescence radiography by a factor of 3. With digital selenium and digital luminescence radiography, it was possible to cut the surface dose to the half that was required for 200-speed film-screen system without losing any diagnostically relevant information. This observation can be explained by the large dynamic range of digital imaging procedures that produces good image quality in a large exposure range. Because of the broad, linear gradation curve, there is virtually no more need for repeated examinations because of poor exposure. This fact also contributes to reducing radiation exposure in general.

In ROC analysis, areas under the ROC curves of 0.75-0.80 are assumed to provide adequate diagnostic difficulty [28]. In our study, this fact applied only to the bone lesions on the porcine femora bones. This fact might lead one to conclude that although fissures and osteolyses involve the rendering of subtle findings, the detectability was too simple. On the other hand, this observation might be explained by the good methodologic ability of all imaging techniques to detect subtle changes.

Limitations of the kind of study we are presenting might be that, as in other studies, in our experimental setting it is not possible to differentiate exactly between cortical and cancellous bone lesions. Additionally, it remains to be proven whether the results of our experimental bone study are transferable in a clinical setting to patients with bone lesions, fissures, and osteolysis that are sometimes hard to detect because of the presence of soft tissue and bowel gas. Especially, the possibility of reducing the exposure dose has to be proven in further clinical studies.

In conclusion, compared with analog film-screen systems, the lower spatial resolution of the digital selenium and digital luminescence radiography systems used in our study does not affect detectability of fissures and bone lesions in porcine bone. Selenium seems to be effective in skeletal radiography. In our experimental setting with digital selenium and digital luminescence radiography, the surface dose could be cut to half that required for 200-speed film-screen systems without losing any diagnostically relevant information.


Acknowledgments
 
We thank J. Koebke, Center of Anatomy, University of Cologne, and T. Zähringer, Department of Radiology, University of Cologne, for their support in preparing the animal specimens and producing the radiographic images.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Buckwalter KA, Braunstein EM. Digital skeletal radiography. AJR 1992;158:1071 -1080[Abstract/Free Full Text]
  2. Klein HM, Wein B, Langen HJ, Glaser KH, Stargardt A, Günther RW. Fracture diagnosis using the digital storage phosphorus system [in German]. Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 1991;154:582 -586[Medline]
  3. Murphey MD. Digital skeletal radiography: spatial resolution requirements for detection of subperiosteal resorption. AJR 1989;152:541 -546[Abstract/Free Full Text]
  4. Murphey MD, Bramble JM, Cook LT, Martin NL, Dwyer SJ. Nondisplaced fractures: spatial resolution requirements for detection with digital skeletal imaging. Radiology 1990;174:865 -870[Abstract/Free Full Text]
  5. Busch H, Lehmann KJ, Freund MC, Georgi M. Digitale Projektionsradiographie, Grundlagen der digitalen Bildgebung. Röntgenpraxis 1991;44:329 -335[Medline]
  6. Sonoda M, Takano M, Miyahara J, Kato H. Computed radiography utilizing scanning laser stimulated luminescence. Radiology 1983;148:833 -838[Abstract/Free Full Text]
  7. Chotas HG, Floyd CE Jr, Ravin CE, et al. Technical evaluation of a digital chest radiography system that uses a selenium detector. Radiology 1995;195:264 -270[Abstract/Free Full Text]
  8. Neitzel U, Maack I, Günther-Kohlfal S. Image quality of a digital chest radiography system based on a selenium detector. Med Phys 1994;21:509 -516[Medline]
  9. Rowlands J, Hunter DM. X-ray imaging using amorphous selenium: a photoinduced discharge readout method for digital mammography. Med Phys 1994;18:421 -431
  10. Floyd CE Jr, Baker JA, Chotas HG, Delong DM, Ravin CE. Selenium-based digital radiography of the chest: radiologists' preference compared with filmscreen radiographs. AJR 1995;165:1353 -1358[Abstract/Free Full Text]
  11. van Heesewijk HPM, Neitzel U, van der GraafY, de Valois JC, Feldberg MAM. Digital chest imaging with a selenium detector: comparison with conventional radiography for visualization of specific anatomic regions of the chest. AJR 1995;165 : 535-540[Abstract/Free Full Text]
  12. Zähringer M, Krug B, Dölken W, Goßmann A, Lackner K. Can digital selenium-based radiography in thoracic diagnosis replace the analog x-ray imaging technique [in German]? Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 1997;167:4 -10[Medline]
  13. Zähringer M, Krug B, Kamm KF, et al. Digital selenium radiography: a comparison of the picture quality of thoracic images in normal and reduced image formats based on the structural anatomic details [in German]. Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 1998;169:33 -37[Medline]
  14. Döhring W, Urbach D. Digital luminescence radiography (DLR). 1. Basic principle, technical implementation and clinical application. Fortschr Med 1991;109:610 -615[Medline]
  15. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating curves: a nonparametric approach. Biometrics 1988;44:837 -845[Medline]
  16. Department of Medical Statistics, Informatics and Epidemiology. Computer code implementing the approach of DeLong et al. Available at: http://www.medizin.uni-koeln.de/kai/imsie/homepages/Martin.Hellmich/drscode.html. Accessed February 2001
  17. Carr JJ, Reed JC, Choplin RH, Pope TL, Case LD. Plain and computed radiography for detecting experimentally induced pneumothorax in cadavers: implications for detection in patients. Radiology 1992;183:193 -199[Abstract/Free Full Text]
  18. Elam EA, Rehm K, Hillman BJ, Malloney K, Fajardo LL, McNeill K. Efficacy of digital radiography for the detection of pneumothorax: comparison with conventional chest radiography. AJR 1992;158:509 -514[Abstract/Free Full Text]
  19. Kastan D, Ackerman LV, Feczko PJ. Digital gastrointestinal imaging: the effect of pixel size on detection of subtle mucosal abnormalities. Radiology 1987;162:853 -856[Abstract/Free Full Text]
  20. Lams P, Cocklin M. Spatial resolution requirements for digital chest radiographs: an ROC study of observer performance in selected cases. Radiology 1986;158:11 -19[Abstract/Free Full Text]
  21. Murphey MD, Quale JL, Martin NL, Bramble JM, Cook LT, Dwyer SJ III. Computed radiography in musculoskeletal imaging: state of the art. AJR 1992;158:19 -27[Abstract/Free Full Text]
  22. Cowen AR. Digital x-ray imaging. Meas Sci Technol 1991;2:691 -707
  23. Jonsson A, Borg A, Hannesson P, et al. Film-screen versus digital radiography in rheumatoid arthritis of the hand. Acta Radiol 1994;35:311 -318[Medline]
  24. Krug B, Fischbach R, Herrmann S, et al. X-ray studies of the peripheral joints: a comparison of digital luminescent radiography (DLR) and film-screen systems [in German]. Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 1993;158:133 -140[Medline]
  25. Müller RD, Buddenbrock B, Kock HJ, et al. Digital luminescence radiography (DLR) for skeletal diagnosis in traumatology [in German]. Rofo Fortschr Geb Rontgenstr Neuen Bildgeb Verfahr 1991;154:575 -581[Medline]
  26. Wilson AJ, Mann FA, Murphy WA Jr, Monsees BS, Linn MR. Photostimulable phosphor digital radiography of the extremities: diagnostic accuracy compared with conventional radiography. AJR 1991;157:533 -538[Abstract/Free Full Text]
  27. Ludwig K, Link T, Fiebich M, et al. Selenium-based digital radiography in the detection of bone lesions: preliminary experience with experimentally created defects. Radiology 2000;216:220 -224[Abstract/Free Full Text]
  28. Metz CE. Some practical issues of experimental design and data analysis in radiological ROC studies. Invest Radiol 1989;24:234 -245[Medline]

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