These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 37285103)

  • 1. Accuracy in predicting soft tissue changes of orthodontic class III cases using Dolphin® software.
    Xing K; Mei H; Feng Q; Quan S; Zhang G; Jia A; Ge H; Mei D; Li J
    Clin Oral Investig; 2023 Aug; 27(8):4531-4539. PubMed ID: 37285103
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accuracy of computer-aided prediction in soft tissue changes after orthodontic treatment.
    Zhang X; Mei L; Yan X; Wei J; Li Y; Li H; Li Z; Zheng W; Li Y
    Am J Orthod Dentofacial Orthop; 2019 Dec; 156(6):823-831. PubMed ID: 31784016
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accuracy of Dolphin visual treatment objective (VTO) prediction software on class III patients treated with maxillary advancement and mandibular setback.
    Peterman RJ; Jiang S; Johe R; Mukherjee PM
    Prog Orthod; 2016 Dec; 17(1):19. PubMed ID: 27312722
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accuracy of Dolphin Imaging software in predicting soft tissue changes of Class II Division 1 incisor relationship treated by all first premolar extraction compared with post-treatment lateral cephalogram.
    Maniyar N; Prakash AT; Kumar HCK; Yavagal PC
    J World Fed Orthod; 2024 Jun; 13(3):128-135. PubMed ID: 38503646
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of soft-tissue profiles in Le Fort I osteotomy patients with Dolphin and Maxilim softwares.
    Nadjmi N; Tehranchi A; Azami N; Saedi B; Mollemans W
    Am J Orthod Dentofacial Orthop; 2013 Nov; 144(5):654-62. PubMed ID: 24182581
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction accuracy of Dolphin software for soft-tissue profile in Class I patients undergoing fixed orthodontic treatment.
    Soheilifar S; Soheilifar S; Afrasiabi Z; Soheilifar S; Tapak L; Naghdi N
    J World Fed Orthod; 2022 Feb; 11(1):29-35. PubMed ID: 34728153
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparative study of 2 software programs for predicting profile changes in Class III patients having double-jaw orthognathic surgery.
    Magro-Filho O; Magro-Ernica N; Queiroz TP; Aranega AM; Garcia IR
    Am J Orthod Dentofacial Orthop; 2010 Apr; 137(4):452.e1-5; discussion 452-3. PubMed ID: 20362896
    [TBL] [Abstract][Full Text] [Related]  

  • 8. [Three-dimensional study of facial soft tissue changes in patients with skeletal Class
    Shi Y; Shang H; Tian L; Bai S; Liu W; Liu Y
    Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi; 2018 May; 32(5):612-616. PubMed ID: 29806352
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Soft tissue profile changes after setback genioplasty in orthognathic surgery patients.
    Park JY; Kim MJ; Hwang SJ
    J Craniomaxillofac Surg; 2013 Oct; 41(7):657-64. PubMed ID: 23395297
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mandibular setback osteotomy: facial soft tissue behavior and possibility to improve the accuracy of the soft tissue profile prediction with the use of a computerized cephalometric program: Quick Ceph Image Pro: v. 2.5.
    Chunmaneechote P; Friede H
    Clin Orthod Res; 1999 May; 2(2):85-98. PubMed ID: 10534984
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Orthodonticorthognathic treatment stability in skeletal class III malocclusion patients].
    Wang XJ; Zhang YM; Zhou YH
    Beijing Da Xue Xue Bao Yi Xue Ban; 2019 Feb; 51(1):86-92. PubMed ID: 30773550
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Factors affecting changes in soft tissue profile after various treatment modalities for skeletal Class II malocclusion: A cross-sectional study.
    Khan AR; Fida M; Sukhia RH
    Int Orthod; 2019 Sep; 17(3):497-505. PubMed ID: 31257136
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of soft tissue prediction accuracy for orthognathic surgery with skeletal class III malocclusion using maxillofacial regional aesthetic units.
    Hou L; He Y; Yi B; Wang X; Liu X; Zhang Y; Li Z
    Clin Oral Investig; 2023 Jan; 27(1):173-182. PubMed ID: 36161529
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accuracy of three-dimensional soft tissue predictions in orthognathic surgery after Le Fort I advancement osteotomies.
    Ullah R; Turner PJ; Khambay BS
    Br J Oral Maxillofac Surg; 2015 Feb; 53(2):153-7. PubMed ID: 25432431
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accuracy of 3 Soft Tissue Prediction Methods After Double-Jaw Orthognathic Surgery in Class III Patients.
    Demirsoy KK; Kurt G
    Ann Plast Surg; 2022 Mar; 88(3):323-329. PubMed ID: 34670968
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predictability of soft tissue profile changes following bimaxillary surgery in skeletal class III Chinese patients.
    Koh CH; Chew MT
    J Oral Maxillofac Surg; 2004 Dec; 62(12):1505-9. PubMed ID: 15573350
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Analysis of facial features and prediction of lip position in skeletal class III malocclusion adult patients undergoing surgical-orthodontic treatment.
    Lu W; Song G; Sun Q; Peng L; Zhang Y; Wei Y; Han B; Lin J
    Clin Oral Investig; 2021 Sep; 25(9):5227-5238. PubMed ID: 33590299
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of two imaging programs in predicting the soft tissue changes with mandibular advancement surgery.
    Ravindranath S; Krishnaswamy NR; Sundaram V
    Orthodontics (Chic.); 2011; 12(4):354-65. PubMed ID: 22299108
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Soft and hard tissue changes in Class III patients treated by bimaxillary surgery.
    Lin SS; Kerr WJ
    Eur J Orthod; 1998 Feb; 20(1):25-33. PubMed ID: 9558762
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Accuracy of Digital Imaging Software to Predict Soft Tissue Changes during Orthodontic Treatment.
    Nakornnoi T; Chanmanee P
    J Imaging; 2024 May; 10(6):. PubMed ID: 38921611
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.