Neer Classification on X-Ray and Computed Tomography of Patients Treated Proximal Humerus Fracture by Surgery at Military Hospital 175

EasyChair Preprint 9466

Abstract

Objectives: Survey on clinical characteristics and medical imaging of patients with proximal humerus fracture treated by surgery at Military Hospital 175. Subjects and methods: Retrospective descriptive study, 62 Vietnamese patients with proximal humerus fracture treated by surgery at Military Hospital 175 from January 2021 to September 2022. Evaluation of the Neer classification on X-ray and Computed tomography (CT), before surgery. Results: Among 62 patients, there were 34 female patients (54.84%) and 28 male patients (45.16%). The male/female ratio was 1/1.21. The average age of the study subjects was 57.71 ± 14.18 years old. The age group under 65 accounted for 62.9%. Causes of injuries due to traffic accidents accounted for the most proportion, with 61.29%. The concordance of diagnosis of fracture group according to Neer's classification based on X-ray compared with CT scan in group III was 41.67%, group IV was 92.31%, in group V and group VI the concordance was 100%. Conclusion: In general, CT scan of proximal humerus fracture helps to make the diagnosis more accurate, thereby choosing the right treatment plan and better prognosis.

Keyphrases: Neer classification, Proximal humerus fracture, X-ray and computed tomography

@booklet{EasyChair:9466,
  author    = {Sang Nguyen Anh and Mung Phan Dinh and Ngoc Nguyen Ha and Cong Nguyen Thanh and Huy Nguyen Dang},
  title     = {Neer Classification on X-Ray and Computed Tomography of Patients Treated Proximal Humerus Fracture by Surgery at Military Hospital 175},
  howpublished = {EasyChair Preprint 9466},
  year      = {EasyChair, 2022}}