- Open Access
- Open Peer Review
Evaluation of computer-assisted mandibular reconstruction with vascularized iliac crest bone graft compared to conventional surgery: a randomized prospective clinical trial
Trialsvolume 15, Article number: 114 (2014)
Computer-assisted surgery plays an increasingly important role in mandibular reconstruction, ensuring the best possible masticatory function and aesthetic outcome.
Twenty patients were randomly assigned to computer-assisted or conventional mandibular reconstruction with vascularized iliac crest bone graft in a prospective study design.
Virtual surgical planning was based on preoperative CT-data using specific surgical planning software. A rapid prototyping guide transferred the virtual surgery plan to the operation site. During surgery the transplant ischemic time, reconstruction time, time for shaping the transplant and amount of bone removed were measured. Additionally, the difference in the intercondylar distance before and after surgery was calculated.
Computer-assisted surgery shortened the time of transplant ischemia (P < 0.005) and defect reconstruction (P < 0.001) compared to conventional surgery. The time to saw and shape the transplant at the donor site was shorter using conventional surgery (P < 0.005); therefore, the overall time for surgery didn’t change (P = 0.527). In the computer-assisted group, the amount of bone harvested equaled the defect size, whereas the transplant size in the conventional group exceeded the defect site by 16.8 ± 5.6 mm (P < 0.001) on average. The intercondylar distance before compared to after surgery was less affected in the computer-assisted than in the conventional group (P < 0.001).
The presented study shows that computer-assisted surgery can help reduce the time for mandibular defect reconstruction and consequently the transplant ischemic time. In the computer-assisted group, the iliac crest donor site defect was downsized and the postoperative condyle position was less altered, reducing possible risks of postoperative complications and donor site morbidity.
In the field of oral and maxillofacial surgery, surgeons are often confronted with the need for complex reconstructions of bony mandibular defects. The reasons for these defects range from severe osteomyelitis to benign and malign mandibular tumors to accidents.
The aim of mandibular reconstruction is to achieve the best possible functional and aesthetic outcome; therefore, bone grafts play an important role.
The use of iliac crest bone grafts for mandibular reconstruction started in the early twentieth century. With the introduction of microvascular surgery, bony reconstruction has been revolutionized because of the possibility of vascularized bone grafts. Microsurgically revascularized bone grafts lead to higher graft survival rates and improved functional and aesthetic outcomes[2–4].
There are several different opinions about the best possible bone graft to use. The most common bone grafts used are the fibula and iliac crest graft. Other options are the scapula or radius graft. On the one hand, the selection depends on the defect size, location, need for soft tissue and status of the recipient vessels; on the other hand, the availability of donor sites is also important.
In defects where no additional tissue is needed, the microsurgically revascularized iliac crest bone graft has some advantages compared to other bone grafts, because of its large amount of bone, rich cancellous blood supply and compact cortex. This makes it ideal for plate fixation and endosseous implants for dental rehabilitation. The higher donor site morbidity of iliac crest bone grafts stated by others has not been confirmed in recent studies.
Nowadays computer-assisted surgery is becoming more and more important in the field of oral and maxillofacial surgery, because of the possibility of simulating almost every scenario imaginable with a high accuracy[7–9]. In the past, the success rate of a graft and the aesthetic outcome depended only on the surgeon’s competence and experience. Today, with the help of preoperatively taken digital CT-data it is possible to generate virtual 3D models of the facial skeleton, illustrating the defect. CT-data on the donor region gives precise information on the possible shape, size and placement of the bone graft needed. With the help of angiographic CT-data it is even possible to determine the exact location of the nourishing vessels, thereby decreasing the risk of transplant failure. Previous studies have also shown a reduction in operating time and a significant decrease in complications[12, 13]. Because of the high accuracy of computer-assisted surgery, better aesthetic and functional outcomes have been declared[14, 15].
Nowadays different variations of computer-assisted surgery are used. The most popular is the production of a stereolithographic three-dimensional replica of the mandible and a transplant cutting guide, which is applied at the transplant donor site. Other methods use prebent plates whose curvature is calculated preoperatively on the virtual three-dimensional model.
Another method described by Hou and colleagues is the use of a pre-shaped titanium mesh implant, which surrounds a vascularized fibular osteomyocutaneous flap.
Because most studies using computer-assisted surgery through a transplant cutting guide concentrate on the fibula as the donor site, further studies about computer-assisted mandibular reconstruction with iliac crest bone grafts are absent.
The aim of this study was to evaluate the benefits of computer-assisted mandibular reconstruction with iliac crest bone grafts regarding the intraoperative time for transplant shaping, ischemia, duration of surgery, amount of bone removed and the change in postoperative condyle position compared to conventional surgery.
Patients and Methods
The study was approved by the local ethics committee at Aachen University, Germany (EK 163/11).
After institutional approval and written informed consent were obtained, 20 patients were randomly divided into two equal groups using the computer program RandList® (DatInf GmbH, Tübingen, Germany). The sample size of ten patients per group is based on a 5 % level of significance and a power of 80 % using previous data of a clinical pilot study, with the result of a minimum sample size of seven patients per group. One group received conventional surgical treatment, whereas the second group underwent computer-assisted surgical planning consisting of individual surgical guides. The patients’ characteristics and diagnoses are shown in Table 1. All patients received mandibular reconstruction with free vascularized iliac crest bone grafts. Times for harvesting and shaping the transplant at the donor site, shaping of the transplant at the defect site, reconstruction, osteosynthesis, ischemia and overall operation time were measured during surgery.
The shaping time at the donor site is the time needed to saw and shape the transplant at the donor site before transection of the nourishing vessels. The time for shaping at the defect site is defined as the time to customize the transplant at the defect site after the dissection of the pedicle. Osteosynthesis time is the time needed to fixate the transplant in the defect site by osteosynthesis. So reconstruction time includes the time to shape the transplant and perform the osteosynthesis at the defect site, whereas ischemia is defined as the time from dissection of the pedicle until perfusion of the transplant is restored.
Additionally, the size of the harvested bone was measured and compared to the amount of bone needed to fill the defect site.
ICU time, period of postoperative hospitalization and units of erythrocyte concentrate (1 unit equals 0.5 liter of erythrocyte concentrate) were also taken into account.
Moreover, the difference in condyle position before and after surgery was evaluated. To compare the pre- and postoperative condyle position, the intercondylar distance was measured using three-dimensional models of the mandible before and after surgery. The models were imported into the Geomagic Studio software (Geomagic, Morrisville, NC, USA) using the STL-format. One side of the preoperative mandible including the condyle was matched with the postoperative reconstructed mandible to measure the absolute deviation in the intercondylar distance (Figure 1).
For statistical analysis the Student t-test was used. The level of significance was set at P ≤ 0.05. The χ 2-test with a level of significance at P ≤ 0.05 was used for analyzing gender. All data are expressed as mean values ± standard deviation. Statistical calculations were performed under SPSS v14 (SPSS, Chicago, IL, USA) running on a Windows 7 computer (Microsoft Corporation, Redmond, WA, USA).
Surgical planning and rapid prototyping
Preoperative CT-data in DICOM format was imported into the planning software ProPlan CMF. In the next step, a virtual three-dimensional model of the facial skeleton and iliac crest was segmented, thereby removing all artifacts. The result was a high quality three-dimensional visualization (Figure 2). In cases of secondary reconstruction, the healthy side of the mandible was mirrored on the site of the defect or previous CT-data was used, whereas in primary reconstruction the shape of the mandible before resection was set as a reference for reconstruction.
In primary reconstruction, a virtual resection of the afflicted part of the mandible was carried out regarding the preoperative CT-data (Figure 3). Using different surgical tools available in the software such as osteotomy modus, mirroring tool and reconstruction wizard a reconstruction design could be developed, whereby the nourishing vessels of the iliac crest bone graft were taken into account (Figure 4). In consultation with the surgeon, different reconstruction plans were discussed according to the best possible curvature, graft position, jawbone distance and condyle position. Most important were the occlusion regarding possible dental rehabilitation and the aesthetic outcome (Figure 5).
After fine-tuning, the generated three-dimensional transplant and models were imported into 3matic-Software (Materialise NV, Leuven, Belgium) using the STL-format. In this software, a uniquely fitting transplant cutting guide was designed, which was manufactured via a rapid prototyping selective laser sintering method (Figure 6a).
All necessary information in the virtual plan, including the dimensions, resection sites, and position and angulation of osteotomies, were included in the produced transplant cutting guide.
In cases of primary reconstruction, an additional resection guide for the mandible was produced to ensure the exact preoperatively planned resection of the afflicted part of the mandible (Figure 6b).
Using a stereolithographic technique, a skull model with the defect and a model of the virtually-shaped transplant, which functioned as an intraoperative back up for graft shaping, was manufactured (Figure 6 cd).
In each group a two-team approach was used in which one team prepared the defect region, vessels and, in cases of primary reconstruction, resected the afflicted part of the mandible, while the second team elevated the iliac crest bone graft. The teams always consisted of the same surgeons.
In the computer-assisted surgical planning group, the surgeon was provided with the transplant cutting guide, transplant model, defect model and resection guide in cases of primary reconstruction (Figure 7). After preparing the iliac crest bone graft, the transplant cutting guide was fixed temporarily to the lateral side of the iliac crest using osteosynthesis screws. In the next step, the graft was sawn according to the transplant cutting guide, taking care not to injure the vessels (Figure 8). In cases of planned osteotomies, the transplant cutting guide had an additional sawing slot. Using the defect model it was also possible to partially bend and fix the osteosynthesis plates on the transplant before transection of the pedicle (Figure 9).
Following transection of the pedicle the transplant, if necessary, was further shaped at the defect site and afterwards immediately inserted into the defect and fixed using the previously applied osteosynthesis plates (Figure 10).
In the conventional surgical treatment group, the surgeon osteotomized the iliac crest according to the defect size, which was measured by the team preparing the defect region. Afterwards, the vessels were transected and the graft was shaped for a better fit at the defect site before applying the osteosynthesis plates and conducting anastomosis.
The patients` mean age who received computer-assisted surgery was 52.3 (range 22 to 81) years and 54.7 (range 29 to 71) years for conventional reconstruction. There were no significant differences concerning age, gender, defect size, osteotomies of the grafts, duration of postoperative hospitalization, duration in the ICU or applied units of erythrocyte concentrates between the groups (Table 2).
The time from shaping the transplant at the donor site until dissection of the pedicle took 62.1 ± 17.0 minutes in the computer-assisted group in contrast to 37.8 ± 11.8 minutes (P < 0.005) in the conventional group (Figure 11).
Figure 11 also shows the time spent shaping the transplant at the defect site, which was significantly lower in the computer-assisted group compared to the conventional group (6.2 ± 4.9 versus 20.3 ± 7.4 minutes; P < 0.001).
Additionally, the time for osteosynthesis of the transplant, shown in Figure 11, was significantly reduced in the computer-assisted group (10.1 ± 5.4 versus 18.2 ± 5.6 minutes; P < 0.005), thereby reducing the overall reconstruction time as well (16.4 ± 6.7 versus 38.5 ± 10.0 minutes; P < 0.001).
Furthermore, a decrease in the ischemic time in the computer-assisted group was observed (96.1 ± 15.8 versus 122.9 ± 20.4 minutes; P < 0.005) (Figure 12), whereas the overall operation time showed no significant difference between the two groups (498.5 ± 83.4 versus 525.2 ± 100.9 minutes; P = 0.527) (Figure 13).
In the computer-assisted group, the amount of bone harvested from the iliac crest showed no significant difference regarding the defect size (87.6 ± 16.5 mm), while the average transplant size in the conventional group exceeded the defect size significantly by 16.8 mm (±5.6 mm; P < 0.001), shown in Figure 14.
Comparing the position of the condyle before and after surgery in both groups, using computer-assisted surgery a significantly lower discrepancy in the intercondylar distance was observed compared to conventional surgery (1.3 ± 0.2 versus 5.5 ± 2.5 mm; P < 0.001) (Figure 15).
Due to venous thrombosis, one transplant in each group failed, which led to a transplant survival rate of 90 % in both groups.
Bony reconstruction of the mandible can be achieved by different types of transplants derived from the fibula, iliac crest, scapula or radius.
To decide which transplant is best to use, the setting at the defect site is crucial. If the defect site lacks soft tissue most surgeons prefer an osteomyocutaneous fibular flap, because of the possibility of a tissue island. Furthermore, the recipient vessels have to be taken into account. Patients who have already undergone multiple surgeries or radiation may lack suitable vessels. In contrast to the iliac crest, the fibular flap has a relatively long pedicle, which allows conducting anastomosis even on the contralateral side of the defect. In cases of appropriate vessel situation and no required tissue, iliac crest bone grafts have several advantages including a compact cortex and large amount of bone, which has a positive influence on plate fixation and postoperative insertion of dental implants.
With the help of computer-assisted surgery, different virtual scenarios for mandibular reconstruction can be taken into consideration, which leads to a clinical benefit of predictable anatomical dimensions, reconstruction limitations and possible complications[21, 22]. Thereby, computer-assisted surgery can be used for primary and secondary reconstruction. In cases of malignant tumors, secondary reconstruction is recommended, because it is not possible to extend the surgical plan intraoperatively. If primary reconstruction is favored or inevitable it is possible to plan two different surgical approaches, thereby producing different surgical guides and models and expanding the flexibility of reconstruction.
A few studies have already tried to highlight the benefits of computer-assisted surgery, mainly concentrating on fibula flaps. Therefore, a randomized prospective study was needed, especially for iliac crest bone grafts.
We used a stereolithographic three-dimensional replica with a transplant cutting guide, which is the most common method of transferring the virtual planning to real time surgery.
Regarding the transplant survival rate, the ischemic time plays a crucial role. Keeping ischemic time as short as possible increases the transplant survival rate.
This study was able to show that with the help of computer-assisted surgery the ischemic time is reduced compared to conventional surgery. Ischemic time depends on several different elements, starting with the transection of the pedicle and ending with the restoration of perfusion. After transecting the pedicle, the transplant needs to be shaped at the defect site to ensure the best possible aesthetic and functional outcome. The time needed for shaping the transplant at the defect site increases ischemia. Therefore, the shaping procedure at the defect site should be as rapid as possible. Using computer-assisted surgery, the time for shaping the transplant at the defect site was decreased. Another important parameter that influences the length of ischemia is the time needed for osteosynthesis. Osteosynthesis should be carried out with great care because it affects the osseous integration of the graft and determines the graft position. Compared to conventional surgery, the time needed for osteosynthesis could be reduced using computer-assisted surgery, thereby reducing the overall ischemic time.
Another benefit of using computer-assisted surgery stated in other studies is a lower overall operation time. However, our results did not confirm these findings. The overall operation time in this study showed no difference comparing both groups. This is due to the fact that shaping the transplant at the donor site took significantly more time in the computer-assisted group. Applying the transplant cutting guide at the iliac crest and shaping the transplant accordingly takes more time, but it has to be mentioned that while shaping the transplant at the donor site the transection of the pedicle has not been conducted yet; therefore, perfusion of the transplant is assured. It is even already possible to bend and partially apply the osteosynthesis plates using the three-dimensional replica provided, while the transplant is still pedicled. Therefore, computer-assisted surgery helps transfer time-consuming processes like transplant shaping, which usually take place during ischemia, to a point in the surgery where perfusion is still ongoing. Afterwards, the additional time required to shape the transplant at the donor site is saved at the defect site. It also must be taken into account that the nourishing vessels of the iliac crest bone graft are very fragile, therefore great care has to be taken while shaping the still-pedicled transplant.
Furthermore, postoperative donor site morbidity plays a critical role regarding patient satisfaction and quality of life. Ghassemi et al. were able to show a correlation between the amount of bone harvested and postoperative complications; therefore, the harvested transplant should not contain unnecessary bone. With the help of computer-assisted surgery we were able to avoid harvesting bone unnecessarily, due to precise preoperative planning and uniquely fitting transplant cutting guide, which allows precise sawing and shaping of the transplant. In contrast to the computer-assisted group, the transplant size using conventional surgery exceeded the defect size on average by 16.8 mm, thereby increasing the risk of donor site morbidities.
Temporomandibular joint dysfunction can be associated with malocclusion, false condyle position and condylar disk displacement[26, 27]. To avert postoperative temporomandibular joint dysfunction, alterations in the condyle position or malocclusion should be avoided; this improves patients’ postoperative satisfaction and quality of life. However, significantly smaller discrepancies in the position of the condyle were found in the computer-assisted group. On average, conventional surgery altered the intercondylar distance by 5.5 mm, compared to 1.3 mm in the computer-assisted group; therefore, the use of computer-assisted surgery can decrease the risk of postoperative temporomandibular joint dysfunction.
When discussing computer-assisted surgery, the higher costs have to be mentioned. Without any doubt, the costs of using computer-assisted surgery are higher compared to conventional surgery. The main factors causing the higher costs are the production of the transplant cutting guides, skull and transplant models. Studies have shown that the benefits listed above clearly outweigh the cost of computer-assisted surgery[24, 28]. In our study, the overall operation time did not change significantly, therefore cost savings regarding a reduced operation time cannot be expected as a main benefit. Nonetheless, we were able to highlight certain significant advantages of computer-assisted surgery like a lower change in intercondylar distance, which could lead to less postoperative temporomandibular joint dysfunctions. Furthermore, our results show the reduction to a minimum of unnecessarily harvested iliac crest bone, which may reduce postoperative donor site morbidity and associated costs. In addition, we could show a significant drop in ischemic time. The ischemic time is considered as one of the main causes of transplant failure, therefore a decrease of the ischemic time could reduce the risks for transplant failure. In our opinion, these benefits of computer-assisted surgery outweigh the costs on the long run.
This is the first randomized prospective study comparing computer-assisted mandibular reconstruction with conventional surgery using iliac crest bone grafts. The presented study shows that computer-assisted reconstruction reduces ischemic time and transplant-shaping time at the defect site as well as requiring a smaller amount of harvested bone than conventional surgery. Moreover, a significantly smaller alteration in condyle position could be shown in the computer-assisted group.
digital imaging and communications in medicine
intensive care unit
Chubb G: Demonstration of cases and radiographs illustrating the technique employed and results obtained in the repair of fractured mandible by means of the free autogenous bone-graft. Proceedings of the Royal Society of Medicine. 1921, 14: 81-83.
Cordeiro PG, Disa JJ, Hidalgo DA, Hu QY: Reconstruction of the mandible with osseous free flaps: a 10-year experience with 150 consecutive patients. Plastic and Reconstructive Surgery. 1999, 104: 1314-1320. 10.1097/00006534-199910000-00011.
Disa JJ, Cordeiro PG: Mandible reconstruction with microvascular surgery. Seminars in Surgical Oncology. 2000, 19: 226-234. 10.1002/1098-2388(200010/11)19:3<226::AID-SSU4>3.0.CO;2-N.
Snyder CC, Bateman JM, Davis CW, Warden GD: Mandibulo-facial restoration with live osteocutaneous flaps. Plastic and Reconstructive Surgery. 1970, 45: 14-19. 10.1097/00006534-197001000-00002.
Riediger D: Restoration of masticatory function by microsurgically revascularized iliac crest bone grafts using enosseous implants. Plastic and Reconstructive Surgery. 1988, 81: 861-877. 10.1097/00006534-198806000-00007.
Ghassemi A, Ghassemi M, Modabber A, Knobe M, Fritz U, Riediger D, Gerressen M: Functional long-term results after the harvest of vascularised iliac bone grafts bicortically with the anterior superior iliac spine included. The British Journal of Oral & Maxillofacial Surgery. 2013, 51: e47-50. 10.1016/j.bjoms.2012.04.257.
Foley BD, Thayer WP, Honeybrook A, McKenna S, Press S: Mandibular reconstruction using computer-aided design and computer-aided manufacturing: an analysis of surgical results. Journal of Oral and Maxillofacial Surgery. 2013, 71: e111-119. 10.1016/j.joms.2012.08.022.
Kaim AH, Kirsch EC, Alder P, Bucher P, Hammer B: Preoperative accuracy of selective laser sintering (SLS) in craniofacial 3D modeling: comparison with patient CT data. RoFo: Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin. 2009, 181: 644-651. 10.1055/s-0028-1109204.
Modabber A, Gerressen M, Ayoub N, Elvers D, Stromps JP, Riediger D, Hölzle F, Ghassemi A: Computer-assisted zygoma reconstruction with vascularized iliac crest bone graft. The International Journal of Medical Robotics + Computer Assisted Surgery. 2013, 9: 497-502.
Marentette LJ, Maisel RH: Three-dimensional CT reconstruction in midfacial surgery. Otolaryngology - Head and Neck Surgery. 1988, 98: 48-52.
Ting JW, Rozen WM, Niumsawatt V, Baillieu C, Leung M, J CL: Developments in image-guided deep circumflex iliac artery flap harvest: a step-by-step guide and literature review. Journal of Oral and Maxillofacial Surgery. 2014, 72: 186-97. 10.1016/j.joms.2013.06.219.
Paleologos TS, Wadley JP, Kitchen ND, Thomas DG: Clinical utility and cost-effectiveness of interactive image-guided craniotomy: clinical comparison between conventional and image-guided meningioma surgery. Neurosurgery. 2000, 47: 40-47. Discussion 47–48
Schramm A, Gellrich N, Schmelzeisen R: Navigational Surgery of the Facial Skeleton. 1997, Berlin: Springer
Modabber A, Gerressen M, Stiller MB, Noroozi N, Füglein A, Hölzle F, Riediger D, Ghassemi A: Computer-assisted mandibular reconstruction with vascularized iliac crest bone graft. Aesthetic Plastic Surgery. 2012, 36: 653-659. 10.1007/s00266-012-9877-2.
Roser SM, Ramachandra S, Blair H, Grist W, Carlson GW, Christensen AM, Weimer KA, Steed MB: The accuracy of virtual surgical planning in free fibula mandibular reconstruction: comparison of planned and final results. Journal of Oral and Maxillofacial Surgery. 2010, 68: 2824-2832. 10.1016/j.joms.2010.06.177.
Ro EY, Ridge JA, Topham NS: Using stereolithographic models to plan mandibular reconstruction for advanced oral cavity cancer. The Laryngoscope. 2007, 117: 759-761. 10.1097/mlg.0b013e318031f0cf.
Hallermann W, Olsen S, Bardyn T, Taghizadeh F, Banic A, Iizuka T: A new method for computer-aided operation planning for extensive mandibular reconstruction. Plastic and Reconstructive Surgery. 2006, 117: 2431-2437. 10.1097/01.prs.0000219076.83890.e8.
Hou JS, Chen M, Pan CB, Tao Q, Wang JG, Wang C, Zhang B, Huang HZ: Immediate reconstruction of bilateral mandible defects: management based on computer-aided design/computer-aided manufacturing rapid prototyping technology in combination with vascularized fibular osteomyocutaneous flap. Journal of Oral and Maxillofacial Surgery. 2011, 69: 1792-1797. 10.1016/j.joms.2010.07.047.
Modabber A, Legros C, Rana M, Gerressen M, Riediger D, Ghassemi A: Evaluation of computer-assisted jaw reconstruction with free vascularized fibular flap compared to conventional surgery: a clinical pilot study. The International Journal of Medical Robotics + Computer Assisted Surgery. 2012, 8: 215-220.
Hölzle F, Watola A, Kesting MR, Nolte D, Wolff KD: Atrophy of free fibular grafts after mandibular reconstruction. Plastic and Reconstructive Surgery. 2007, 119: 151-156. 10.1097/01.prs.0000240703.02620.24.
Gateno J, Xia JJ, Teichgraeber JF, Christensen AM, Lemoine JJ, Liebschner MA, Gliddon MJ, Briggs ME: Clinical feasibility of computer-aided surgical simulation (CASS) in the treatment of complex cranio-maxillofacial deformities. Journal of Oral and Maxillofacial Surgery. 2007, 65: 728-734. 10.1016/j.joms.2006.04.001.
Troulis MJ, Everett P, Seldin EB, Kikinis R, Kaban LB: Development of a three-dimensional treatment planning system based on computed tomographic data. International Journal of Oral and Maxillofacial Surgery. 2002, 31: 349-357. 10.1054/ijom.2002.0278.
Picard-Ami LA, Thomson JG, Kerrigan CL: Critical ischemia times and survival patterns of experimental pig flaps. Plastic and Reconstructive Surgery. 1990, 86: 739-743. 10.1097/00006534-199010000-00022. Discussion 744–735
Xia JJ, Phillips CV, Gateno J, Teichgraeber JF, Christensen AM, Gliddon MJ, Lemoine JJ, Liebschner MA: Cost-effectiveness analysis for computer-aided surgical simulation in complex cranio-maxillofacial surgery. Journal of Oral and Maxillofacial Surgery. 2006, 64: 1780-1784. 10.1016/j.joms.2005.12.072.
Ghassemi A, Ghassemi M, Riediger D, Hilgers RD, Gerressen M: Comparison of donor-site engraftment after harvesting vascularized and nonvascularized iliac bone grafts. Journal of Oral and Maxillofacial Surgery. 2009, 67: 1589-1594. 10.1016/j.joms.2009.04.013.
Almasan OC, Hedesiu M, Baciut G, Leucuta DC, Baciut M: Disk and joint morphology variations on coronal and sagittal MRI in temporomandibular joint disorders. Clinical Oral Investigations. 2013, 17: 1243-1250. 10.1007/s00784-012-0803-4.
Barrera-Mora JM, Espinar Escalona E, Abalos Labruzzi C, Llamas Carrera JM, Ballesteros EJ, Solano Reina E, Rocabado M: The relationship between malocclusion, benign joint hypermobility syndrome, condylar position and TMD symptoms. Cranio: The Journal of Craniomandibular Practice. 2012, 30: 121-130.
Ewers R, Schicho K, Undt G, Wanschitz F, Truppe M, Seemann R, Wagner A: Basic research and 12 years of clinical experience in computer-assisted navigation technology: a review. International Journal of Oral and Maxillofacial Surgery. 2005, 34: 1-8. 10.1016/j.ijom.2004.03.018.
No sources of funding.
The authors declare that they have no competing interests.
NA: data collection and analysis, manuscript writing, final approval of the manuscript. AG: data collection and interpretation, critical revision and final approval of the manuscript. MR: data collection and interpretation, critical revision and final approval of the manuscript. MG: data collection and interpretation, critical revision and final approval of the manuscript. DR: data collection and interpretation, critical revision and final approval of the manuscript. FH: data collection and interpretation, critical revision and final approval of the manuscript. AM: conception and design, data collection, analysis and interpretation, drafting, critical revision and final approval of the manuscript. All authors read and approved the final manuscript.
Authors’ original submitted files for images
Below are the links to the authors’ original submitted files for images.