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DOI:10.2214/AJR.04.1583
AJR 2006; 186:38-43
© American Roentgen Ray Society


Original Research

Image Quality of a Wet Laser Printer Versus a Paper Printer for Full-Field Digital Mammograms

Gerd Schueller1, Elisabeth Kaindl1, Wolfgang K. Matzek1, Friedrich Semturs2, Claudia Schueller-Weidekamm1 and Thomas H. Helbich1

1 Department of Radiology, University Hospital Vienna and Medical University of Vienna, Austria, Waehringer Guertel 18-20/7F, A-1090 Vienna, Austria.
2 Department of Biomedical Engineering and Physics, University Hospital Vienna and Medical University of Vienna, Vienna, Austria.

Received October 11, 2004; accepted after revision December 22, 2004.

 
Address correspondence to G. Schueller (gerd.schueller{at}meduniwien.ac.at).


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The purpose of our study was to compare the image quality of a wet laser printer with that of a paper printer for full-field digital mammography (FFDM).

MATERIALS AND METHODS. For both a wet laser printer and a paper printer connected to an FFDM system, image quality parameters were evaluated using a standardized printer test image (luminance density, dynamic range). The detectability of standardized objects on a phantom was also evaluated. Furthermore, 640 mammograms of 80 patients with different breast tissue composition patterns were imaged with both printers. Subjective image quality parameters (brightness, contrast, and detection of details of anatomic structures—that is, skin, subcutis, musculature, glandular tissue, and fat), the detectability of breast lesions (mass, calcifications), and the diagnostic performance according to the BI-RADS classification were evaluated.

RESULTS. Both the luminance density and the dynamic range were superior for the wet laser printer. More standardized objects were visible on the phantom imaged with the wet laser printer than with the paper printer (13/16 vs 11/16). Each subjective image quality parameter of the mammograms from the wet laser printer was rated superior to those of the paper printer. Significantly more breast lesions were detected on the wet laser printer images than on the paper printer images (masses, 13 vs 10; calcifications, 65 vs 48; p < 0.05). With the paper printer images, BI-RADS 4 and 5 categories were underestimated for 10 (43.5%) of 23 patients.

CONCLUSION. For FFDM, images obtained from a wet laser printer show superior objective and subjective image quality compared with a paper printer. As a consequence, the paper printer should not be used for FFDM.

Keywords: digital imaging • full-field digital mammography • mammography • printers


Introduction
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Mammography is still the primary radiologic method in breast cancer screening [1-6]. The development of full-field digital mammography (FFDM) shows new possibilities for replacing conventional film-screen systems [7-14] and offers advantages such as easier quality management, the use of teleradiology, and reduction of radiation dose. Mammograms can be obtained at a markedly reduced dose when the depiction of image details at low noise is less important than the precise localization of a lesion that has already been identified [15]. The diagnostic procedure in FFDM is mainly performed by monitor—that is, soft-copy interpretation. Despite the advantages of FFDM, hard copies will remain indispensable for image documentation, particularly in the setting of outpatient management.

Hard copies for FFDM are routinely generated by wet laser printers [16, 17], which have also become the state-of-the-art equipment for other imaging techniques such as CT, MRI, and sonography. However, wet laser images require chemical development, which is expensive, contributes to environmental pollution, and needs careful handling to obtain constant image quality. As an alternative to the wet laser printer systems, the use of paper printers has been initiated for the documentation of radiologic examinations [18]. In contrast to the complex printing requirements for the wet laser output, the handling requirements for paper printers are reduced to the delivery of paper. With this method, the environmental, time, storage, and delivery problems could potentially be eliminated. Most important, with increasing expenditures in medicine and increasing pressure from managed care, paper printers could markedly contribute to cost-cutting strategies in medical health care.

The purpose of our study was to determine whether a paper printer can reach the high standard of a wet laser printer for FFDM images. The image quality of both devices was assessed using objective criteria through the evaluation of a standardized printer test image and an ACR phantom [19]. In addition, subjective criteria were examined in a comparison of a total of 640 mammograms.


Materials and Methods
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
We evaluated a wet laser printer (Scopix LR 5200, Agfa) and a paper printer (DICOM DocuColor 50, Xerox). Technical specifications of both printers are summarized in Table 1. The paper printer is described as a color or black-and-white copy and printer device that uses a dry laser printer for imaging. The printers were connected to an FFDM system (Senographe 2000D, GE Healthcare) by means of a network. The FFDM system uses an amorphous silicon flat detector with cesium iodide as a scintillator. The receptor area was 19 x 23 cm with a matrix of 1,900 x 2,300. The pixel size was 100 µm, which resulted in a spatial resolution of approximately 5 lp/mm.


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TABLE 1: Technical Specifications of Wet Lasera and Paperb Printers

 

The film used for the wet laser printer was a bluebase film (Scopix Laserfilm LT 2, Agfa) on which a silver grain emulsion is used to produce an image. A commercially available copy paper (120 g/m2, Colortec, Xerox) was used for the paper printer.

Objective Comparison
This part of the study was designed to compare the image quality parameters of a standardized printer test image (GE Printer Test Image, GE Healthcare [20]) and the ACR phantom [19].

From the workstation of the Senographe 2000D, the GE Printer Test Image was printed with the wet laser printer and with the paper printer. The accuracy of specific image elements available on the GE Printer Test Image (lines, curves, and shapes) was determined by visual inspection. The luminance values (LV) of 21 gray-level steps were measured with a luminance meter (LS-110, Minolta) at a recommended distance from the test image of 120 cm [20]. Furthermore, the dynamic range (ratio of the highest to the lowest LV) of both printer devices was evaluated.

Exposure of the ACR phantom was performed on the FFDM system in automatic mode, and the processed image was printed with the wet laser printer and with the paper printer. The maximum numbers of visible small objects—that is, fibers, specks, and masses—were determined.

The evaluation of wet laser printer images was performed on a viewing box with a luminance greater than 3,000 cd/m2 (Rotolux 320 DS, Schulte) in the center, with a difference between the center and the corners of the viewing area of less than 15% [16, 21]. The evaluation of paper printer images was performed using a desk light with a 100-W bulb (Philips Medical Systems), following the manufacturer's guidelines.

Patients
From January 2003 to February 2004, 2,112 patients underwent FFDM at our institution. The main indications for FFDM included the early detection of breast cancer in asymptomatic patients and the diagnostic workup of symptomatic patients. For this study, 80 patients with different breast-tissue densities (BI-RADS composition pattern types) were randomly selected by a computer search of our database. Thus, the final study population consisted of 20 patients of each BI-RADS composition pattern [22]. The patients' ages ranged from 20 to 78 years (mean age, 47 years).

Subjective Comparison
Mammography was performed with craniocaudal and mediolateral oblique (30°) views of both breasts in all 80 patients. In total, 640 images were obtained and then printed with the wet laser and paper printers. The interpretation of the mammograms was performed under the same standardized conditions as described for the objective comparison. Each of the images was evaluated side by side by two experienced radiologists in an unlabeled, random order to enable an accurate and direct comparison. In cases of discrepancy, conclusions were reached by interrater consensus in the presence of a third experienced radiologist. The reviewers were asked to compare the images on the basis of the following aspects: brightness; contrast; and detail of anatomic structures—that is, skin, subcutis, musculature, glandular tissue, and fat. Each of the comparative aspects was categorized using a three-level scale (good, moderate, or poor, with 1 being good). In case of breast lesions, lesion characteristics—that is, mass or calcifications—were evaluated. Furthermore, the diagnostic performance was assessed according to the BI-RADS classification [22].

Statistical Analysis
Statistical analysis was performed using commercially available software (SPSS for Windows [Microsoft], release 11, Statistical Package for the Social Sciences). For the objective comparisons, differences between the wet laser printer and the paper printer in the visibility of small objects of the ACR phantom were measured as sensitivity—that is, the ratio of visualized and total lesions [23]. For the subjective comparisons, for each aspect, agreement between the reviewers was evaluated by means of the kappa statistic (Cohen's kappa test). Agreement was defined as almost perfect, {kappa} > 0.8; good, {kappa} = 0.8-0.61; moderate, {kappa} = 0.60-0.41; fair, {kappa} = 0.4-0.21; or poor, {kappa} < 0.20 [23]. For the subjective comparisons, the significance of differences between the two printers was determined using the Wilcoxon's signed rank test. For all tests, the significance level was set at p < 0.05 [23].



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Fig. 1 Luminance values of GE Printer Test Image (GE Healthcare). Gray indicates paper printer (DICOM DocuColor 50, Xerox), black indicates wet laser printer (Scopix LR 5200, Agfa). Dynamic range of wet laser printer, 530; with paper printer, 8.

 

Results
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Objective Comparison
GE printer test image—The wet laser printer image showed a range of luminance density from a minimum LV of 3.6 cd/m2 to a maximum LV of 1,910 cd/m2. The paper printer image showed a range from a minimum LV of 224 cd/m2 to a maximum LV of 1,700 cd/m2. The dynamic range was 530 for the wet laser printer and 8 with the paper printer (Fig. 1). No difference in image quality of the printers was observed on visual inspection of the image elements (lines, curves, and shapes).

ACR phantom—Results of visual inspection are summarized in Table 2. Five of six fibers were visible on both the wet laser printer image and the paper printer image. Of five specks, four were visible on the wet laser printer image and two on the paper printer image. On both images, four of five masses were visible. In total, with the wet laser printer, 13 of 16 small objects were visible, compared with 11 of 16 with the paper printer. The sensitivities of the wet laser printer and the paper printer are summarized in Table 2. The wet laser printer was more sensitive in the evaluation of specks (80% vs 40%) than the paper printer. No differences were measured in the evaluation of fibers (83%) and masses (80%). Consequently, the wet laser printer was more sensitive in the evaluation of all lesions than the paper printer (81% vs 69%). The differences were not significant (p > 0.05).


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TABLE 2: Visibility of Small Objects with Wet Lasera and Paperb Printers

 

Subjective Comparison
Of a total of 2,240 subjective image quality scores per printer system (80 patients, 4 mammograms per patient, 7 scores), 2,228 scores (99.5%) rated a good and 12 scores (0.5%) rated a moderate image quality for the wet laser printer images. For the paper printer images, 248 scores (11.1%) rated a good, 584 scores (26.1%) rated a moderate, and 1,408 scores (62.9%) rated a poor image quality. Only the image quality of the cutis was rated with a mean of 1.5 for the paper printer and, therefore, was not significantly different from the results of the wet laser printer (Table 3). All other quality parameters of the wet laser printer were significantly higher than those of the paper printer. The interrater variability was almost perfect in the evaluation of each detail with the wet laser printer; and almost perfect in two, good in one, and moderate in four details with the paper printer (Table 3).


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TABLE 3: Ratings of Image Quality for Wet Lasera and Paperb Printers in 640 Mammograms

 

A total of 13 masses were seen with the wet laser printer (circumscribed, n = 3; indistinct, n = 2; spiculated, n = 6; others, n = 2) compared with 10 masses seen with the paper printer (circumscribed, n = 2; indistinct, n = 1; spiculated, n = 5; other, n = 2; p > 0.05). A total of 65 areas of calcifications were seen with the wet laser printer (amorphous, n = 17; pleomorphous, n = 11; linear, n = 5; other, n = 32) compared with 48 calcifications with the paper printer (amorphous, n = 12; pleomorphous, n = 3; linear, n = 3; others, n = 30; p < 0.05) (Table 4). Thus, three (23%) of 13 masses and 17 (26%) of 65 calcifications were not seen on paper printer images. When the images were classified using the BI-RADS categories, with the wet laser printer, BI-RADS category 1 was given in 19 cases, BI-RADS 2 in 31 cases, BI-RADS 3 in seven cases, BI-RADS 4 in 14 cases, and BI-RADS 5 in nine cases, compared with 23, 38, six, seven, and six, respectively, with the paper printer (Table 4, Figs. 2A, 2B, 2C, 2D, 2E, 2F, 2G, and 2H). Thus, with the paper printer, BI-RADS categories 4 and 5 were underestimated for 10 (43.5%) of 23 patients compared with the wet laser printer. The interrater variability was almost perfect in the evaluation of six and good in two of these details with the wet laser printer; and almost perfect in four and good in four details with the paper printer (Table 4).


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TABLE 4: Evaluation of Breast Lesions in 80 Patients and Diagnostic Performance (BI-RADS Category) of Wet Lasera and Paperb Printers

 


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Fig. 2A Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 35-year-old woman with breast tissue having BI-RADS composition pattern type 3.

 


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Fig. 2B Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 35-year-old woman with breast tissue having BI-RADS composition pattern type 3.

 


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Fig. 2C Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 35-year-old woman with breast tissue having BI-RADS composition pattern type 3.

 


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Fig. 2D Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 35-year-old woman with breast tissue having BI-RADS composition pattern type 3.

 


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Fig. 2E Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 65-year-old woman with breast tissue having BI-RADS composition pattern type 1.

 


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Fig. 2F Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 65-year-old woman with breast tissue having BI-RADS composition pattern type 1.

 


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Fig. 2G Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 65-year-old woman with breast tissue having BI-RADS composition pattern type 1.

 


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Fig. 2H Mammogram views (craniocaudal and mediolateral oblique) of two representative patients. Areas of pleomorphous calcifications shown in wet laser printer (Scopix LR 5200, Agfa) images (black circles in A and C, E and G), none of which were seen in paper printer (DICOM DocuColor 50, Xerox) images (B and D, F and H). Thus, in both patients, lesions were classified as BI-RADS category 4 on wet laser printer images and BI-RADS category 2 on paper printer images. 65-year-old woman with breast tissue having BI-RADS composition pattern type 1.

 


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
The results of our study show that the image quality of a wet laser printer is superior to the image quality of the tested paper printer for FFDM. On the basis of objective and subjective criteria, the paper printer fails to reach the high quality requirements for FFDM assessment.

In FFDM, laser imagers have become the state-of-the-art equipment for printing hard copies of original data. They have undergone continuous improvement to offer better resolution, stability, and processing speed. Concomitantly, laser films have been improving in terms of dynamic range, archiving properties, and handling [17].

At first sight, several advantages of paper printer systems over wet laser systems for FFDM could be considered. First, a paper printer costs about 15% less than the wet laser printer. Second, the costs for produced films are about 10 times less with the paper printer system than with the wet laser printer system. In addition, with the wet laser printer, about 10% of costs per film sheet must be added for the development chemicals and for disposal of chemical waste material. Third, the installation and maintenance of the paper printer system are simple. Fluid or solid chemical waste is avoided, and therefore so are disposal problems, which reduces installation and operation costs. Finally, the paper printer images can be recycled, making this method environmentally friendly. The integration of inexpensive paper printer images to radiologic algorithms was described by Ibbott et al. [18]. They evaluated the image quality of paper printers and of wet laser printers, but a direct comparison of their results with ours would not be practical because only data from CT scans were included in their study.

However, for brightness and contrast, worse subjective impression on paper printer images correlated with measurable values in the objective comparison. This can be explained by the influence of the dynamic range on the reviewer's impression of contrast [24]. In our study, the dynamic range of the wet laser printer was superior to that of the paper printer. Thus, the gradation of the wet laser printer is significantly higher, and therefore the visibility of low-contrast elements is better, than with the paper printer. This is consistent with the results of the ACR phantom evaluation. The visibility of fibers and masses is equally high for both devices, but the visibility of specks (which emulate low-contrast calcifications) is better for the wet laser printer. Because of the low number of small objects on the ACR phantom, these differences are not significant. However, a trend toward a higher sensitivity with the wet laser printer than with the paper printer is observed. Consequently, when the visibility of small low-contrast elements is of real importance in FFDM, the paper printer is not suitable as a documentation tool.

The method used for imaging defines the performance of a system and the information that is available to the reviewer. In an outpatient setting especially, patients with abnormal findings are provided hard copies of their digital mammograms to obtain further explanation by the referring specialist, if necessary. Even if written reports were attached to these hard copies, we think that subtle, but nevertheless crucially important, details—for example, calcifications—would not be reproducible if the hard copies were printed by a paper printer. In our study, three (23%) of 13 masses and 17 (26%) of 65 calcifications were not detectable on paper printer images. As a consequence, with the paper printer, BI-RADS categories 4 and 5 ratings were underestimated for 10 (43.5%) of 23 patients compared with the wet laser printer. Thus, diagnostic or therapeutic procedures may be delayed in a considerable number of breast cancer patients.

The interrater agreement for the BI-RADS classification was excellent for both printer devices ({kappa} = 0.9). Recently, Berg et al. [25] reported an interrater agreement for BI-RADS classification to be as low as 0.41-0.44, even after a short period of BI-RADS training [25]. The authors evaluated the performance of 23 practicing mammogram-interpreting physicians. In contrast, in our study the mammograms were examined by two experienced radiologists who have used the BI-RADS system for several years. This may explain the differences in the interrater agreement between our study and the results reported in the literature.

As a limitation of our study, the superior detectability of small objects with the wet laser printer, particularly in low-contrast tissue, may be relevant in the following respect: Because we selected patients using a computer search of our database, there were equal numbers of patients with different breast-tissue composition patterns. However, in a routine clinical setting, one would encounter more mammograms with extremely-low and low breast-tissue density, and consequently find slightly better results for the paper printer. However, we think that our data are reliably unequivocal enough to draw conclusions for hard-copy printing in FFDM.

In summary, images obtained from a wet laser printer show superior objective and subjective image quality compared with a paper printer. The advantages of the paper printer, particularly in terms of cost reduction, do not compensate for low image quality. As a consequence, the tested paper printer should not be recommended for FFDM.


Acknowledgments
 
We thank Mary McAllister, John Hopkins University Hospital, Baltimore, MD, for manuscript assistance.


References
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

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