The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform
Padma M. Mukherjee - One of the best experts on this subject based on the ideXlab platform.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Background Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. Methods This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Results Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X -axis at most landmarks. The lower lip predictions were most inaccurate. Conclusions Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback.
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X-axis at most landmarks. The lower lip predictions were most inaccurate. Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
Robert J. Peterman - One of the best experts on this subject based on the ideXlab platform.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Background Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. Methods This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Results Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X -axis at most landmarks. The lower lip predictions were most inaccurate. Conclusions Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback.
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X-axis at most landmarks. The lower lip predictions were most inaccurate. Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
Rene Johe - One of the best experts on this subject based on the ideXlab platform.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Background Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. Methods This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Results Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X -axis at most landmarks. The lower lip predictions were most inaccurate. Conclusions Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback.
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X-axis at most landmarks. The lower lip predictions were most inaccurate. Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
Shuying Jiang - One of the best experts on this subject based on the ideXlab platform.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Background Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. Methods This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Results Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X -axis at most landmarks. The lower lip predictions were most inaccurate. Conclusions Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
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Accuracy of Dolphin Visual Treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback.
Progress in Orthodontics, 2016Co-Authors: Robert J. Peterman, Shuying Jiang, Rene Johe, Padma M. MukherjeeAbstract:Dolphin® Visual Treatment objective (VTO) prediction software is routinely utilized by orthodontists during the Treatment planning of orthognathic cases to help predict post-surgical soft tissue changes. Although surgical soft tissue prediction is considered to be a vital tool, its accuracy is not well understood in tow-jaw surgical procedures. The objective of this study was to quantify the accuracy of Dolphin Imaging’s VTO soft tissue prediction software on class III patients treated with maxillary advancement and mandibular setback and to validate the efficacy of the software in such complex cases. This retrospective study analyzed the records of 14 patients treated with comprehensive orthodontics in conjunction with two-jaw orthognathic surgery. Pre- and post-Treatment radiographs were traced and superimposed to determine the actual skeletal movements achieved in surgery. This information was then used to simulate surgery in the software and generate a final soft tissue patient profile prediction. Prediction images were then compared to the actual post-Treatment profile photos to determine differences. Dolphin Imaging’s software was determined to be accurate within an error range of +/− 2 mm in the X-axis at most landmarks. The lower lip predictions were most inaccurate. Clinically, the observed error suggests that the VTO may be used for demonstration and communication with a patient or consulting practitioner. However, Dolphin should not be useful for precise Treatment planning of surgical movements. This program should be used with caution to prevent unrealistic patient expectations and dissatisfaction.
Judith Lampasso - One of the best experts on this subject based on the ideXlab platform.
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prediction accuracy of computer assisted surgical Visual Treatment objectives as compared with conventional Visual Treatment objectives
Journal of Oral and Maxillofacial Surgery, 2005Co-Authors: Christel Buck Gossett, Brian C Preston, Robert G Dunford, Judith LampassoAbstract:Purpose This present study used the conventional Visualized Treatment objectives (VTOs) as a tool to evaluate the predictive value of the Dolphin computer-assisted VTOs. Materials and methods Presurgical cephalometric tracing predictions generated by oral and maxillofacial surgeons and the Dolphin Imaging software were compared with the postsurgical outcome as seen on lateral cephalometric tracings. Sixteen measurements of the predicted and actual postsurgical hard tissue landmarks were compared statistically. Results A paired Student’s t test showed that 7 measurements had statistically significant differences for the conventional VTOs (facial angle, P < .0001; AOC, P < .0001; SNB, P = .003; ANB, P = .004; U1-NA-degrees, P = .01; U1-NA-mm, P = .02; and N perp Pog, P < .0001), while 9 measurements were statistically significant (P = <.0001) for Dolphin (facial angle, P = .0001; AOC, P = .005; SNB, P = .001; ANB, I = .04; U1-NA-degrees, P = .003; PogNB, P = .04; U1-NA-mm, P = .002; N perp Pog, P = .0001; UFH, P = .03; and LFH, P = .03). Conclusion From these data, it appears that both VTOs demonstrated good predictive comparative outcome and are equally precise.
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Prediction Accuracy of Computer-Assisted Surgical Visual Treatment Objectives as Compared With Conventional Visual Treatment Objectives
Journal of Oral and Maxillofacial Surgery, 2005Co-Authors: Christel Buck Gossett, Robert G Dunford, C. Brian Preston, Judith LampassoAbstract:Purpose This present study used the conventional Visualized Treatment objectives (VTOs) as a tool to evaluate the predictive value of the Dolphin computer-assisted VTOs. Materials and methods Presurgical cephalometric tracing predictions generated by oral and maxillofacial surgeons and the Dolphin Imaging software were compared with the postsurgical outcome as seen on lateral cephalometric tracings. Sixteen measurements of the predicted and actual postsurgical hard tissue landmarks were compared statistically. Results A paired Student’s t test showed that 7 measurements had statistically significant differences for the conventional VTOs (facial angle, P < .0001; AOC, P < .0001; SNB, P = .003; ANB, P = .004; U1-NA-degrees, P = .01; U1-NA-mm, P = .02; and N perp Pog, P < .0001), while 9 measurements were statistically significant (P =
