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Dentomaxillofacial Radiology (2007) 36, 130–137 q 2007 The British Institute of Radiology http://dmfr.birjournals.org RESEARCH Density value means in the evaluation of external apical root resorption: an in vitro study for early detection in orthodontic case simulations FE Eraso*,1, ET Parks2, WE Roberts1, WF Hohlt1 and S Ofner3 1 Department of Oral Facial Development, Indiana University School of Dentistry, Indianapolis, IN, USA; 2Department of Oral Pathology, Medicine and Radiology, Indiana University School of Dentistry, Indianapolis, IN, USA; 3Division of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA Objectives: The purpose of this study was to develop an alternative diagnostic tool for the early detection of external apical root resorption (EARR). Methods: Mandibular incisors (n ¼ 36) with and without simulated EARR lesions were used. 18 teeth with facial and proximal windows, each with a range of 2 sizes, were placed in 6 N hydrochloric acid (HCl) baths for 10 min. A sample of the acid solution was analysed for calcium concentration by atomic absorption spectrophotometry. Incisors were imaged at 808, 908 and 1008 under 3 test conditions (bracketed, non-bracketed and with subtraction registration templates (SRTs)). The images were reconstructed and subtracted to determine the accuracy and sensitivity of the method. Quantified histograms for each subtracted image were constructed. Results: At either an angle of 808 or 1008, the bracketed group had the largest mean standard deviation of the subtraction histograms while the SRT group had the smallest. Density values as a function of total calcium removed were plotted indicating a linear relationship between subtraction density units and calcium loss. Conclusion: The use of the SRTs was significantly more accurate than the use of the brackets alone for digital subtraction radiography reconstructions. This model shows promise for detecting EARR prior to a noticeable decrease in root length. It may be useful for early detection of resorptive lesions during routine orthodontic treatment. Dentomaxillofacial Radiology (2007) 36, 130–137. doi: 10.1259/dmfr/97564373 Keywords: root resorption, digital subtraction radiography, root apex, orthodontics Introduction External apical root resorption (EARR) has been defined as a reduction in the length of the root from the apex. The amount of tooth structure lost is determined from measuring the entire tooth length, incisal edge to apex in anterior teeth and cusp tip to the most apical point of the root in posterior teeth, both before and after treatment.1,2 Numerous histologic and radiographic studies have produced conflicting results relative to the association of apical resorption with orthodontic treatment. Most of this variability can be attributed to the non-standardized methodology, which limits the comparability of results *Correspondence to: Dr Francisco Eduardo Eraso, Indiana University School of Dentistry, Department of Oral Facial Development, Indianapolis, IN 46202-5186, USA; E-mail: [email protected] Received 12 July 2005; revised 27 March 2006; accepted 1 April 2006 from these different studies. In addition, radiographic studies evaluate only apical root resorption; however, buccal or lingual resorption is less perceptible in the radiographs.1,3 Although histologic or scanning electronic microscopic investigations provide exact results, they can only be conducted on single representative teeth. Therefore, studies based on larger samples, within and between patients, use only radiological methods.4 In orthodontic practice, studies have reported the diagnosis of EARR using conventional radiographs (periapicals, panoramic, lateral cephalograms and various combinations).2,5 – 15 However, several factors play an important role in radiographic interpretation, such as the amount of distortion, magnification, lack of reproducibility and the projection of three-dimensional structures in twodimensional planes (radiographic films). Furthermore, a Evaluation of external apical root resorption FE Eraso et al large amount of mineral loss (30 – 60%) is needed to render a defect visible on radiographs. These factors severely limit the radiographic detection of early EARR. Early detection of small resorptive lesions during orthodontic treatment is essential for identifying teeth at risk of severe resorption.16 Interruption of active treatment can minimize adverse effects during subsequent treatment.17 Although conventional intraoral radiography is the method of choice of orthodontists for detecting apical root resorption during treatment, it has inherent disadvantages, especially in the diagnosis of early resorption. Quantitative measurements must be taken to determine early EARR density changes. Digital subtraction radiography (DSR) satisfies this requirement. Detection limits of DSR vs conventional radiographs show that DSR is more sensitive to density changes.18 However, it is important to compensate for the difficulties in accurately registering the images and minimizing the amount of structured noise present in the subtracted images. In this regard, a recent study used an orthodontic bracket as a reference marker for DSR and showed that the clinician can accurately monitor and assess changes occurring in hard tissues (i.e. early root resorption lesions) during orthodontic treatment.19 Using orthodontic bracket and subtraction registration templates (SRTs) in addition to previously developed techniques showed a reduction in the occurrence of structured noise in subtracted images of disparate projection geometries. Improving the accuracy of digital subtraction is important to assist in research applications of interest to orthodontists, particularly with regard to the detection of early root resorption. This would contribute to the improvement of clinical applications, such as monitoring patients genetically susceptible to root resorption. The potential advantage of early quantitative radiographic evaluation of root resorption has not been evaluated clinically. The present study investigates this capability to evaluate the risk of root resorption at the early stages of orthodontic case treatment. Orthodontically induced apical root resorption is progressive during treatment and followup radiographs are therefore mandatory.16,20 The present study focused on the importance of early lesion detection in vitro before it could be relied on in orthodontic patients. The null hypothesis for the initial portion of the present study was that digital subtraction images are not more accurate when using an orthodontic bracket or SRT as reference markers, as compared with images of teeth with no brackets. For the second stage of the study, the null hypothesis was that digital subtraction software used in conjunction with brackets or SRT as references will not be able to detect simulated EARR lesions as measured by density changes. As previous studies indicated, DSR may have the potential to be a sensitive technique for quantitative evaluating root resorption; however, there is currently no report in the literature applying DSR for early detection of EARR in orthodontic case simulations. 131 Materials and methods 36 intact human mandibular incisors were used in this study. For the image acquisition, an X-ray source with a CCX Digital Computer Controlled X-ray Timer (Trophy Radiologic Inc., Vincennes, France) operating at 70 kVp and 8 mA was used. Images were acquired with the Sigma size 2 digital sensor (Instrumentarium Imaging, Milwaukee, WI). A custom sensor holder was fabricated using Exaflex vinyl polysiloxane impression material (GC America Inc., Alsip, IL). The root tip of every tooth was embedded into a mould with two pieces of 3 mm Splint Biocryl to secure them and to simulate bone around the apex. A 1 inch tissue-equivalent acrylic block was used, which was found to be adequate for tissue equivalency in a previous study.21 The Dental X-ray Co-ordinate System DX-CS1 (RC Eggleton Consulting, Indianapolis, IN) radiographic positioning device was selected to orient the specimens, sensor and X-ray source in a reproducible manner (Figure 1). This device has a specimen mounting site designed to hold a Peel-A-Way embedding mould (Rectangular-R30, Polysciences Inc., Warrington, PA). Each specimen was imaged at 808, 908 and 1008 as measured on the Dental X-ray Co-ordinate System DX-CS1 protractor. These measurements simulated 108 of labial (808) and lingual (1008) tip rotation around the root apex. The 908 image was not tipped and was used as the baseline or reference image. Exposure time was 0.08 s for each specimen. Images were captured and stored using CliniView 3.5 (GE Health Care, Milwaukee, WI) imaging software. Each specimen was imaged at the aforementioned angles with an orthodontic bracket and with fiducial markers attached to the bracket. The additional fiducial markers, four small lead spheres, measuring approximately 1 mm in diameter, were spaced 8 mm apart and custom fitted to the orthodontic bracket for this study (Figure 2). APC II Victory Series Low Profile MBT 0.018 slot lower incisor orthodontic brackets (3M Unitek, Monrovia, CA) were bonded 3.5 mm from the incisal edge using Transbond Plus Self Etching Primer and Transbond resin (3M Unitek). For the first part of the study, three digital images were obtained per group (no bracket, bracket and bracket with Figure 1 The Dental X-ray Co-ordinate System DX-CS1 (RC Eggleton Consulting, Indianapolis, IN) radiographic positioning device was selected to orient the specimens, sensor and X-ray source in a reproducible manner Dentomaxillofacial Radiology Evaluation of external apical root resorption FE Eraso et al 132 Figure 2 An example of an image of the resulting subtraction registration template (SRT) containing four coplanar radiopaque spheres, custom fitted to the orthodontic bracket SRT) at 808, 908 and 1008 angulations, so nine images were obtained per tooth. These images were exported from CliniView and stored as tagged image file format files. Image reconstruction and subtraction were performed using the Emago/advanced 3.5 software (Oral Diagnostic Systems, Amsterdam, The Netherlands) by two oral and maxillofacial radiologists. This software offered geometric image reconstruction to accommodate differences in projection Figure 3 geometry between images. This reconstruction attempted to produce two images with identical image projection geometry by mapping the information contained in one image onto the projection plane of another image, called the reference image.22 The reference image for each group was that taken at 908 angulation. Each tipped image was reconstructed with the following reference points. For the no bracket group: left cemento-enamel junction (CEJ), right CEJ, apex and midpoint of incisal edge; for the bracket group: left superior aspect of the bracket, right superior aspect of the bracket, a point on the middle inferior aspect of the bracket and the root apex; and for the SRT group: the middle of the left superior sphere, the middle of the right superior sphere, a point on the middle inferior aspect of the bracket and the root apex. The reconstructed images were then subtracted from the reference image, 08 angulation (908). Linear subtraction was used, resulting in the arithmetic difference of the grey values of the two images at corresponding locations.22 The region of interest (ROI) in the subtraction was defined as the apical third of the root (Figure 3). The standard deviation and the mean of the subtraction histogram in the ROI were recorded. The ROI determination was repeated three times for each subtraction. The standard deviation and mean were averaged. EARR lesions were created using 6 N hydrochloric acid (HCl) baths according to the model of chemically induced lesions used in a previous study.23 This method produces lesions with ill-defined borders that more closely resemble naturally occurring EARR lesions. The 36 teeth used in the previous reconstructions were coated three times at 1 h intervals with a thin acid-resistant layer (nail polish), except for the one area (2 £ 2 mm or 1 £ 1 mm) to be decalcified. After pre-alteration radiographs (control group—no lesion) were obtained, the teeth were demineralized in a sequential fashion. 18 teeth with facial windows and 18 teeth with proximal windows were placed individually in 15 ml tubes containing 5 ml of 6 N HCl for 10 min intervals 6 times An example of the area of interest in the subtraction images, defined as the apical third of the tooth root Dentomaxillofacial Radiology Evaluation of external apical root resorption FE Eraso et al 10 minutes 20 minutes 133 30 minutes INITIAL RADIOGRAPH 40 minutes 50 minutes 60 minutes Figure 4 Digital subtraction radiography of an example for an orthodontic case simulation of a 2 £ 2 mm proximal EARR artificially created lesion after 10 min intervals of 6 N hydrochloric acid baths (908) (Figure 4). Consequently, lesions were produced with a range of two sizes and two locations. A previous study determined the rate of decalcification so that meaningful images were generated over specific time intervals.23 For the present study, the acid solution used for two teeth with 2 £ 2 mm lesions (one facial and one proximal) was analysed for calcium concentration by atomic absorption spectrophotometry (Perkin – Elmer 306 Atomic Absorption Specthrophometer) after each step in the demineralization process. The teeth were sequentially demineralized, placed back into the mounting device and imaged in the manner described earlier. Reconstructions and linear subtractions were performed for each tooth and angle for the SRT group. The volume under the histogram was computed, which gave a weighted density value of each lesion in terms of density units. were then used in the ANOVA model to test for differences between the groups at each angle of rotation. The sign test was used to test for significant median change in density from baseline for teeth in the SRT group by lesion size, surface, angle and time in the acid bath. Significant median change in density demonstrates digital subtraction’s ability, with use of the SRT reference point, to detect early root resorption. For one facial and one proximal lesion, regression lines were used to quantify the linear relationship between density units and the amount of calcium lost. The reconstructions and subtractions for ten randomly selected teeth were completed twice, independently of each other, to assess intraclass correlation coefficient (ICC) and interrater reliability (IRR). Results Statistical methods Since the mean of the subtraction histogram did not reflect the closeness of the repositioned image to the original image, the standard deviation of the subtraction histogram was considered to be a better measure of the ability of the software to reposition the tipped image to the original image; therefore, the primary comparison of the three groups was based upon mean standard deviations of the subtraction histograms. Mean standard deviations of the subtraction histograms were summarized for each group and angle of rotation. For each angle of rotation, groups were compared through use of an analysis of variance (ANOVA) model with fixed effect for group and random effect for tooth. The random effect allowed for incorporation of any correlation that resulted from repeated measurements of the same tooth. Residual plots were examined for deviation from the model assumptions of homogeneity of variance and normality. At each angle of rotation, the Tukey–Kramer adjustment was used to control the error of falsely claiming a significant difference (type 1 error). Since the residual plots showed some deviation from the assumption of homogeneity of error, the standard deviations were log-transformed. The log-transformed data 900 images from 36 teeth were measured using the Emago software. At an angle of either 808 or 1008, the bracketed group had the largest mean standard deviation of the subtraction histograms, while the SRT group had the smallest mean standard deviation (Table 1). Statistical comparisons revealed that at both angles, mean standard deviation for the bracketed group was significantly larger than for the non-bracketed or SRT group. There was no significant difference in mean standard deviation between the SRT group and the non-bracketed group (Table 2). Table 1 Mean standard deviation of subtraction histograms Angle (degrees) Group N Mean SD Min. Median Max. 80 80 80 100 100 100 No bracket Bracket SRT No bracket Bracket SRT 36 33 36 34 36 36 9.94 12.95 9.21 8.51 11.17 7.00 2.56 4.60 2.54 3.02 4.39 1.80 3.94 5.04 4.95 4.58 5.13 4.06 9.98 12.36 8.72 7.70 10.29 6.65 15.47 22.10 14.08 15.92 22.38 13.19 SD, standard deviation; SRT, subtraction registration template Dentomaxillofacial Radiology Evaluation of external apical root resorption FE Eraso et al 134 Table 2 Comparisons of log-transformed mean standard deviations Angle (degrees) Group vs Group Estimate Std error P value* 80 80 80 100 100 100 Bracket Bracket No bracket Bracket Bracket No bracket No bracket SRT SRT No bracket SRT SRT 0.24 0.32 0.08 0.25 0.42 0.17 0.07 0.07 0.07 0.08 0.08 0.08 0.0040 0.0001 0.5088 0.0059 ,0.0001 0.0895 *P value adjusted for multiple comparisons using Tukey – Kramer adjustment. SRT, subtraction registraction template Significant changes in median density were first seen in the 1 £ 1 mm lesion group on the facial surface at 10 min, 30 min and 50 min at angles of 808, 908 and 1008, respectively. For 1 £ 1 mm lesions on proximal surfaces, significant changes in median density were first seen at 40 min at each angle of rotation (Table 3). For the 2 £ 2 mm lesions on facial surfaces, significant change in median density was first detected at 10 min at rotations of 808 and 908. After 10 min, changes from baseline in median density were not statistically significant for the 808 rotations. In contrast, significant changes in median density were detected at each time point for 908 rotations. Table 3 The first significant change in median density at 1008 was detected after 60 min in the acid bath. For 2 £ 2 mm lesions on proximal surfaces, significant changes in median density were first detected at 10 min for rotations of 808 and 908. Significant changes were also detected at each time point after 10 min for these two angles. For the 1008 rotation, the earliest detection of significant change in median density occurred 30 min into the acid bath (Table 4). The ICCs were high, indicating good repeatability of mean density and standard deviations of subtraction histograms at each angle of rotation. The ICC was lowest for standard deviations at 808, where 11% of the total variation comes from repeated measurements. The interexaminer IRRs were low, indicating poor repeatability of measurements between the two examiners. Table 5 shows mean calcium lost, the total calcium removed, density values and changes in density for facial and proximal lesion sites two teeth with 2 £ 2 mm lesions. Density as a function of total calcium removed was plotted. The regression lines indicate a linear relationship between subtraction density units and calcium loss, and provide a possible method of quantifying digital subtraction examples (Figure 5). Summary statistics of mean density for SRT group (1 £ 1 mm) Size (mm) Surface 1£1 Facial Angle 80 90 100 Proximal 80 90 100 SD, standard deviation; SRT, subtraction template Dentomaxillofacial Radiology Time n Mean density SD Min. Median Max. 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 127.9 127.6 126.6 126.6 125.5 124.7 126.3 125.8 124.8 124.5 124.5 124.1 129.3 129.5 128.1 127.6 127.3 126.7 130.1 129.2 128.3 128.1 126.6 126.6 127.4 126.4 125.9 125.4 125.5 125.0 130.6 130.0 129.1 128.6 128.5 128.1 2.2 2.6 2.8 3.0 2.7 3.0 1.2 1.7 1.9 2.0 3.0 2.5 2.1 1.7 2.0 2.2 2.7 2.4 3.6 3.5 2.6 3.5 3.0 3.3 1.0 0.8 1.1 1.6 2.0 1.9 0.7 1.3 1.2 1.5 1.6 1.8 125.5 125.0 123.8 123.5 122.6 121.1 124.5 123.6 122.2 121.3 120.2 121.6 125.9 126.8 124.9 123.9 123.1 122.9 126.6 125.5 125.9 125.2 124.4 123.5 126.2 125.5 124.4 123.5 123.3 123.1 129.7 128.6 127.6 127.1 126.6 125.2 128.0 127.5 125.5 126.0 124.7 123.3 126.7 126.3 125.2 124.8 124.6 123.4 129.9 129.4 128.4 127.6 127.0 126.4 128.7 128.2 127.3 126.3 125.1 124.8 127.2 126.0 125.9 125.6 125.1 124.7 130.6 129.5 128.9 128.1 128.0 128.4 132.4 132.4 131.5 132.1 130.0 129.5 127.8 128.5 128.4 127.6 130.4 129.4 132.3 132.2 130.5 130.3 132.5 131.1 137.0 134.7 132.9 133.3 132.3 132.7 129.0 127.5 127.4 128.6 129.8 129.0 131.5 132.3 131.2 130.9 130.6 129.8 Evaluation of external apical root resorption FE Eraso et al Table 4 135 Summary statistics of mean density for SRT group (2 £ 2 mm) Size (mm) Surface 2£2 Facial Angle 80 90 100 Proximal 80 90 100 Time n Mean density SD Min. Median Max. 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 10 20 30 40 50 60 9 9 9 9 9 9 9 9 9 9 9 8 9 9 9 7 8 8 8 9 9 9 8 8 9 9 9 9 9 9 9 9 9 9 9 9 131.8 131.5 130.8 129.9 130.1 129.2 125.6 124.7 124.0 123.3 123.6 123.6 129.4 128.2 128.2 129.3 127.5 126.6 131.8 131.7 131.3 130.6 130.0 129.0 126.0 125.0 124.2 123.7 123.5 122.1 131.1 129.9 128.2 127.5 127.8 126.8 3.9 4.4 4.8 5.0 5.3 5.3 1.8 1.9 2.2 2.3 2.8 2.6 3.0 3.3 3.9 3.7 4.0 3.0 2.6 2.6 2.6 2.3 2.5 2.6 0.8 1.2 1.3 1.2 2.0 1.5 2.8 1.6 1.8 2.2 2.1 1.7 127.2 126.2 125.5 124.1 123.7 121.5 121.1 120.3 120.0 119.3 118.3 117.6 125.1 123.9 123.5 122.6 121.7 121.3 127.8 126.4 125.4 125.2 124.3 123.9 124.8 123.1 122.9 122.2 120.1 119.6 128.0 127.5 124.3 123.2 124.4 123.9 130.7 133.2 132.5 132.1 130.9 129.9 126.1 125.3 124.8 123.5 124.6 124.5 128.9 128.0 127.5 129.6 126.9 127.2 132.9 132.4 131.5 131.5 131.0 129.6 126.1 125.4 124.0 123.6 123.5 122.2 130.1 129.9 128.7 127.5 127.4 126.5 139.7 139.2 138.8 137.6 136.8 136.3 127.0 126.5 126.0 126.0 126.0 125.4 134.1 135.1 134.4 133.5 133.9 130.3 134.3 134.4 133.7 133.0 132.1 131.5 127.0 126.5 126.2 125.6 127.2 123.9 136.5 131.7 130.1 131.1 131.1 129.6 SD, standard deviation; SRT, subtraction registraction template Previous in vitro studies concentrated on the diagnostic accuracy for detecting lesions using conventional intraoral radiographs and DSR through receiver operating characteristics analysis. Teeth length as well as quantitative analysis were done in these studies.23,24 Our in vitro model showed promise for detecting EARR prior to a noticeable decrease in root length, which may be useful for early detection of resorptive lesions during routine orthodontic treatment. It also confirmed previous reports24 that Discussion Early detection of small EARR lesions during orthodontic treatment is essential for identifying teeth at risk of severe resorption.16 The ability to accurately quantify these early changes associated with EARR is valuable and has been suggested as possible in our study. Even though the present investigation was in vitro, it is important to take into account its constraints to validate the methodology of image reconstruction before it is relied upon clinically. Table 5 For each acid bath, the mean and total calcium (Ca) removed, density values and change in density values for facial and proximal lesion sites for the orthodontic case simulations Ca removed (mg ml21) Total Ca removed Density D Density No. of acid baths F P F P F P F P 0 1 2 3 4 5 6 0 0.11 0.07 0.04 0.05 0.07 0.07 0 0.12 0.06 0.05 0.04 0.01 0.03 0 0.11 0.19 0.23 0.27 0.34 0.41 0 0.12 0.17 0.22 0.26 0.27 0.30 127.00 125.78 123.98 121.36 120.52 119.79 . 127.00 124.78 123.41 123.02 122.65 120.13 119.55 0 2 1.20 2 1.80 2 2.62 2 0.84 2 0.73 0 22.20 21.37 20.39 20.37 22.52 20.58 F, facial; P, proximal Dentomaxillofacial Radiology Evaluation of external apical root resorption FE Eraso et al 136 Figure 5 Plot of density values as a function of total calcium removed Y ¼ 128.63 2 27.99x for facial lesions Y ¼ 128.11 2 26.23x for proximal lesions quantitative analysis of small amounts of apical root resorption can be performed by means of DSR. In vitro studies simulated EARR lesions by drilling the entire depth of the dental bur heads.3,23 – 25 However, changes in dentin that occur under biological conditions will differ from the type of defects produced by a dental bur. In addition, the borders of artificially created defects are relatively sharp compared with those of biological origin, which tend to be more diffused. Our simulation of early EARR lesions was created using the model of chemically induced lesions used in a previous study,23 which produced lesions with ill-defined borders that more closely resembled naturally occurring EARR lesions. As far as projection geometry, the first hypothesis addressed one of the major obstacles in the use of digital subtraction, which is the geometric reproducibility. In the past, occlusal orthotics as well as cephalometric stabilization methods have shown considerable reduction in projection geometric errors.26,27 However, at the time of clinical application they are costly, time consuming and cumbersome. Our method explored digital subtraction using direct digital radiography and reference points, including anatomical landmarks, orthodontic brackets and additional fiducial marks as aids for reconstructions. Due to stability over time, the use of anatomical landmarks has been used in digital subtraction studies.24,28 Our study indicated that use of SRTs, in conjunction with anatomical landmarks and orthodontic brackets, is a reliable alternative in the assessment of EARR in orthodontic case simulations. This investigation also addressed changes of axial inclination that would occur during typical orthodontic tooth movement for EARR lesions located in the buccal and proximal surfaces. Even though structural “noise” produces visual confusion and limits the detection of small lesion, as reported before,24 our study suggests that our reconstruction model of DSR is a consistent method for demonstrating density changes over time in simulated EARR lesions located proximally or facially. These findings will stimulate the application of DSR as a possible part of routine orthodontic documentation, which would be very useful in orthodontic practice to detect and control EARR, particularly in patients considered to be at high risk for this process. References 1. Brezniak N, Wasserstein A. Root resorption after orthodontic treatment: Part 1. Literature review. Am J Orthod Dentofacial Orthop 1993; 103: 62 – 66. 2. Hendrix I, Carels C, Kuijpers-Jagtman AM, van’t Hof M. A radiographic study of posterior apical root resorption in orthodontic patients. Am J Orthod Dentofacial Orthop 1994; 105: 345 – 349. 3. Reukers E, Sanderink G, Kuijpers-Jagtman AM, van’t Hof M. Assessment of apical root resorption using digital reconstruction. Dentomaxillofac Radiol 1998; 27: 25 –29. 4. Fritz U, Diedrich P, Wiechmann D. Apical root resorption after lingual orthodontic therapy. J Orofac Orthop 2003; 64: 434 –442. 5. Harris EF, Kineret SE, Tolley EA. A heritable component for external apical root resorption in patients treated orthodontically. Am J Orthod Dentofacial Orthop 1997; 111: 301– 309. Dentomaxillofacial Radiology 6. Sameshima GT, Sinclair PM. Predicting and preventing root resorption: Part I. Diagnostic factors. Am J Orthod Dentofacial Orthop 2001; 119: 505 – 510. 7. Sameshima GT, Sinclair PM. Predicting and preventing root resorption: Part II. Treatment factors. Am J Orthod Dentofacial Orthop 2001; 119: 511 – 515. 8. Remington DN, Joondeph DR, Artun J, Riedel RA, Chapko MK. Long-term evaluation of root resorption occurring during orthodontic treatment. Am J Orthod Dentofacial Orthop 1989; 96: 43 – 46. 9. Linge L, Linge BO. 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Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2001; 91: 369 –373. 25. Hintze H, Wenzel A, Andreasen FM, Swerin I. Digital subtraction radiography for assessment of simulated root resorption cavities. Performance of conventional and reverse contrast modes. Endod Dent Traumatol 1992; 8: 149 – 154. 26. Ruttimann UE, Webber RL, Schmidt E. A robust digital method for film contrast correction in subtraction radiography. J Periodontal Res 1986; 21: 486 –495. 27. Allen KHE, Carpio L, Loza J, Kutlubay E, Wobshall D. A comparison of two methods for standardizing radiographs. J Dent Res 1993; 72: 256. 28. Byrd V, Mayfield-Donahoo T, Reddy MS, Jeffcoat MK. Semiautomated image registration for digital subtraction radiography. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 1998; 85: 473 –478. Dentomaxillofacial Radiology