Objectives: This study aimed to establish a simple and practical classification to guide the clinical treatment of diastasis recti abdominis (DRA) based on ultrasound characteristics with different severities of DRA, and to verify its clinical utility.
Methods: We retrospectively enrolled 301 DRA patients as pilot cohort and divided into Conservative Treatment Group and Surgical Group according to clinical outcomes. A new Width-Length classification was summarized based on ultrasound measurements of the width and length of midline separation. Then, 100 DRA patients were enrolled prospectively as validation cohort, and diagnostic performance was evaluated by clinical treatment.
Results: The Width-Length classification in pilot cohort was as follows: Type 1 (n = 108), open only at M3; Type 2 (n = 63), open at M3 and either M2 or M4 (inter-rectus distance at M3 <47 mm); Type 3 (n = 44), open at M3 and either M2 or M4 (inter-rectus distance at M3 ≥47 mm); Type 4 (n = 74), open at M3, along with other two sites of M1, M2, M4, or M5; Type 5 (n = 12), open at M2, M3, and M4, along with M1 or M5, or both. DRA patients in Type 1-2 were recommended for conservative treatment, and in Type 3-5 were recommended for surgical treatment (all P < .05). In the validation cohort, the accuracy of Width-Length classification in determining treatment strategy was 86.0%.
Conclusions: This study proposes a Width-Length classification based on the width and length of midline separation on ultrasound, which was validated to be simple, practical and effective in guiding DRA treatment.
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http://dx.doi.org/10.1002/jum.16508 | DOI Listing |
Eur J Orthod
October 2024
Department of Orthodontics, RWTH Aachen University, 52074, Aachen, Germany.
Background: This study aims to verify Bolton's values for tooth size ratios and to evaluate possible relationships to different occlusal traits using precise digital measurement methods.
Materials And Methods: Including 1000 consecutively selected patients from three study centres a digital, partially automated model analysis was performed utilizing the software OnyxCeph. The measurements comprised tooth width for calculation of anterior (AR) and overall ratio (OR) as a percentage, arch width, length, perimeter, overjet, overbite, space analysis in millimetre and the assessment of the angle classification.
J Ultrasound Med
September 2024
Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China.
Objectives: This study aimed to establish a simple and practical classification to guide the clinical treatment of diastasis recti abdominis (DRA) based on ultrasound characteristics with different severities of DRA, and to verify its clinical utility.
Methods: We retrospectively enrolled 301 DRA patients as pilot cohort and divided into Conservative Treatment Group and Surgical Group according to clinical outcomes. A new Width-Length classification was summarized based on ultrasound measurements of the width and length of midline separation.
Zhongguo Xiu Fu Chong Jian Wai Ke Za Zhi
March 2024
Department of Orthopedics, No.2 People's Hospital of Fuyang City, Fuyang Anhui, 236000, P. R. China.
Objective: To explore the effectiveness of interlocking intramedullary nail fixation system for Sanders type Ⅱ and Ⅲ calcaneal fractures by comparing with open surgery.
Methods: Forty patients (40 feet) with Sanders type Ⅱ and Ⅲ calcaneal fractures, who were admitted between May 2020 and December 2022 and met the selection criteria, were included in the study. They were randomly allocated into control group and minimally invasive group using a random number table method, with 20 cases in each group.
BMC Med Res Methodol
February 2024
Department of Computer Engineering, Hamedan University of Technology, Hamedan, Iran.
Introduction: The determination of identity factors such as age and sex has gained significance in both criminal and civil cases. Paranasal sinuses like frontal and maxillary sinuses, are resistant to trauma and can aid profiling. We developed a deep learning (DL) model optimized by an evolutionary algorithm (genetic algorithm/GA) to determine sex and age using paranasal sinus parameters based on cone-beam computed tomography (CBCT).
View Article and Find Full Text PDFInt Wound J
April 2024
AITIS - Advanced Intelligence and Technology Innovations, London, United Kingdom.
Chronic wounds contribute to significant healthcare and economic burden worldwide. Wound assessment remains challenging given its complex and dynamic nature. The use of artificial intelligence (AI) and machine learning methods in wound analysis is promising.
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