dental palatal superimposition of pre- and post-treatment digital models in cloudcompare

डिजिटल सुपरइम्पोजिशन का उपयोग करके मैक्सिलरी पोस्टीरियर टूथ मूवमेंट का मूल्यांकन

In 1999, digitally fabricated removable orthodontic appliances were made commercially available by Align (Align Technology Inc., Tempe, AZ). Originally, this system was designed to solve non-growing cases with mild to moderate crowding or close small spaces as an aesthetic alternative to traditional fixed edgewise appliances. With decades of improvements in computer-aided design and manufacturing (CAD/CAM), dental materials, and treatment planning, clear aligner therapy (CAT) has since been used to treat over 10 million patients with various malocclusions worldwide1. A recent retrospective study suggested that CAT is as effective as fixed appliance therapy for the teenage population with mild malocclusions, with significantly improved results in tooth alignment, occlusal relations, and overjet2. The number of appointments, emergency visits, and overall treatment time also had better outcomes for clear aligner therapy patients. Although CAT can be used to treat non-extraction, mild-to-moderate malocclusions in non-growing patients3,4, and shorten treatment duration and chair time5, it remains unclear whether the treatment is as effective as the gold standard of conventional labial braces4,6,7,8,9, especially for anteroposterior and vertical correction10.
ClinCheck is a software platform developed by Align to provide clinicians with virtual three-dimensional (3D) simulations of prospective tooth movements. Primarily concerned with the patient&#39;s initial status and the clinician&#39;s prescribed treatment plan, it can also be a visual communication tool for the patient. Any mismatch between the predicted and achieved results may require a mid-course correction, refinement, or conversion to fixed appliance therapy. Consequently, the reliability of software predictions has drawn increasing attention from investigators. Since Lagravere and Flores-Mir&#39;s systematic review published in 200511, investigations into the concordance between predicted models and post-treatment models have been measured in different ways, measurement methods including arch-length, inter-canine distance, overbite, overjet, midline deviation12, the American Board of Orthodontics objective grading system (ABO-OGS) reduction score13, upper and lower interdental width14, and measures derived from cone-beam computed tomography15.
Comparisons have also been made by superimposing 3D models16,17,18,19,20,21. For example, many current software platforms, such as ToothMeasure (internal software developed by Align Technology), can reproducibly superimpose two digital models using user-selected reference points on untreated teeth, palatal rugae, or dental implants. Since the predicted and achieved models usually do not include the palatal surfaces, many previous studies15,16,17,18 have used the untreated posterior teeth as references for superimposition, including the possibility of adding errors due to the relative movements of these teeth. These studies have been confined to anterior regions of the arch in relatively simple cases with spacing or mild to moderate crowding.
Gr&#252;nheid et al. used mathematical superimposition to quantify the discrepancies between virtual treatment plans and actual treatment outcomes to evaluate the accuracy of full-dentition CAT without stable anatomic structures in digital models20. Haouili et al. used the same method in a best-fit algorithm within the Compare software to conduct a prospective follow-up study on the efficacy of tooth movement with CAT21. The aim was to provide an update on the accuracy associated with emerging technology, i.e., SmartForce, SmartTrack aligner materials, and digital scans. Their findings of an improved overall accuracy from 41%17 to 50%21&#160;were encouraging but do not negate the possibility that some tooth movements are still not satisfactorily achievable with the clear aligner system.
When predicted and achieved, digital models include a common 3D reference independent of the dentition, such as palatal rugae, dental implants, or tori; they can be co-registered within the coordinate system of many suitable software platforms. If a tooth of interest is then segmented from one and transformed mathematically to match its displaced version in the other, the transformation matrix contains the complete information needed to describe the entire 3D transposition. Its content can be expressed as three translations and three rotations described by a formal convention. An example is found on the Invisalign ClinCheck Pro 3D control software, where the numerical parameters indicating the 3D tooth movements needed to move teeth to their predicted positions are shown in a tooth movement table.
While the initial and final (predicted) models from the planning software share a common coordinate system provided by the same software platform, their absence of palates restricts the possibility of co-registering with any other digital dentition model unless they possess identical dentition. In this context, it was hypothesized that the superimposition of software-predicted and post-treatment (achieved) models would be feasible. This feasibility arises from the availability of two pairs: initial and final (automatically superimposed during export from planning software) and another pair of pre-treatment and achieved models (superimposed using palatal rugae). These pairs could be registered using the pre-treatment dentition as a reference to align them with the Invisalign-initial model. Subsequently, the segmentation of individual teeth could be performed to assess differences in their positions and orientations. This assessment involves transposing teeth between the models, and the transformation matrices would enable a numerical quantification of the translations and re-orientations.
In this protocol, an approach to evaluate the effectiveness of CAT in addressing mild to moderate malocclusions in both adolescents and adults was introduced, specifically focusing on the maxillary posterior teeth. The null hypothesis was that there was no difference between the achieved and the planning software-predicted tooth position in the maxillary posterior teeth after the first series of clear aligners.

लेखक स्पॉटलाइट: स्पष्ट संरेखण उपचार में मैक्सिलरी पोस्टीरियर दांतों का 3 डी आंदोलन आकलन

मैक्सिलरी पोस्टीरियर टूथ मूवमेंट को मापना: पैलेटल और डेंटल सुपरइम्पोजिशन का उपयोग करके एक मॉडल मूल्यांकन

Dental movement assessment is important when evaluating orthodontic treatment outcomes. We are going to be demonstrating a method to evaluate three-dimensional movement of maxillary posterior teeth when they have undergone Clear Aligner treatment. This protocol offers a combination of several software tools, as well as palatal rugae and dentition as stable references.This combination allows for the superimposition and segmentation of individual teeth for the purpose of analyzing their movements and orientations. This protocols demonstrate a novel method to analyze the differences between software-predicted models and the actual treatment outcomes. By understanding the efficacy and the accuracy of software-predicted treatment, clinicians will have a better judgment planning the tooth movement.

CloudCompare में प्री- और पोस्ट-ट्रीटमेंट डिजिटल मॉडल का डेंटल पैलेटल सुपरइम्पोजिशन

शुरू करने के लिए, कंप्यूटर पर CloudCompare सॉफ़्टवेयर लॉन्च करें। उपचार के बाद डिजिटल मैक्सिलरी मॉडल का चयन करें, और अनुवाद रोटेट आइकन पर क्लिक करें। मॉडल को खींचें ताकि वे साथ-साथ हों और हरे चेक मार्क पर क्लिक करें।प्री-ट्रीटमेंट डिजिटल मॉडल चुनें और सेगमेंट आइकन पर क्लिक करें। पैलेटल रगे पर चार बिंदु चुनें और अचयनित करने के लिए राइट क्लिक करें। फिर सेगमेंट इन पर क्लिक करें और हरे रंग का चेक मार्क दबाएं।पोस्ट-रिट्रीट मॉडल शेष और प्री-ट्रीट मॉडल शेष मॉडल छुपाएं, फिर पोस्ट ट्रीट मॉडल पार्ट और प्री-ट्रीट मॉडल पार्ट मॉडल का चयन करें। रफ़ पंजीकरण संरेखण आइकन दबाएँ और दोनों तालुओं के लिए मिडलाइन के प्रत्येक ओर कम से कम तीन लैंडमार्क रखें. लैंडमार्क प्लेसमेंट की पुष्टि करने के लिए संरेखित करें और फिर हरे रंग के चेक मार्क पर क्लिक करें।अगला, दोनों मॉडलों के लिए जाल को सामने लाएँ। फिर अनट्रांसफॉर्म्ड पोस्ट-ट्रीट मॉडल शेष मॉडल को कॉपी करें। Edit पर क्लिक करें और उसके बाद Apply transformation matrix पेस्ट करें।शेष मॉडल को छिपाएं और पोस्ट-ट्रीट मॉडल पार्ट और प्री-ट्रीट मॉडल पार्ट मॉडल दोनों का चयन करें। अब ठीक पंजीकरण संरेखण आइकन दबाएँ और संदर्भ के रूप में पूर्व इलाज मॉडल भाग मॉडल का चयन, तो ठीक क्लिक करें. दोनों मॉडलों के लिए जाल को अनहाइड करें, फिर पहले किए गए पोस्ट-ट्रीट मॉडल शेष मॉडल को स्थानांतरित करें। Edit और Apply transformation पर क्लिक करें और ट्रांसफ़ॉर्मेशन मैट्रिक्स पेस्ट करें।

Research

JoVE Journal

Medicine

Dental Palatal Superimposition of Pre- and Post-Treatment Digital Models in CloudCompare

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Since the introduction of Invisalign by Align Technology, Inc. in 1999, questions and debates have persisted regarding the precision of Invisalign (clear ...

Software-Model Preparation for Dental Superimposition and Tooth Crown Manipulation with Rhinoceros Software

गैंडे सॉफ्टवेयर के साथ डेंटल सुपरइम्पोजिशन और टूथ क्राउन मैनिपुलेशन के लिए सॉफ्टवेयर-मॉडल तैयारी

Superimposition of Software-Predicted and Post-Treatment Digital Dental Models with CloudCompare

CloudCompare के साथ सॉफ़्टवेयर-प्रेडिक्ट और पोस्ट-ट्रीटमेंट डिजिटल डेंटल मॉडल का सुपरइम्पोजिशन

Dental Crown Segmentation Using Meshmixer

मेशमिक्सर का उपयोग करके डेंटल क्राउन सेगमेंटेशन

Dental Superimposition for Tooth Alignment and Transformation with CloudCompare

टूथ संरेखण और CloudCompare के साथ परिवर्तन के लिए दंत superimposition 