High prevalences of hindlimb deformities were recorded in wild-caught green frogs (Rana clamitans), northern leopard frogs (Rana pipiens), American toads, (Bufo americanus), and bullfrogs (Rana catesbeiana) from agricultural sites exposed to pesticide runoff in the St. Lawrence River Valley of Québec, Canada, between July and September 1992 and 1993. Of 853 metamorphosing anurans examined in 14 farmland habitats, 106 (12%; range 0 to 69%) had severe degrees of ectromelia and ectrodactyly, compared to only two (0.7%; range 0 to 7.7%) of 271 in 12 control sites. However, the variation in the proportion of deformities among sites was too large to conclude that there was a significant difference between control and pesticide-exposed habitats. Clinical signs varied and were characterized by segmental hypoplasia or agenesis of affected limbs. Conspicuous abnormalities interfered with swimming and hopping, and likely constituted a survival handicap. Because of circumstances and the frequency of these malformations in nine distinct habitats, and in three different species from one of our study sites, we propose a teratogenic action of exogenous factors. Despite the fact that many biotic and abiotic agents are potentially harmful to limb development, agricultural contaminants were suspected as primary aggressors. Thus, clinical examination and frequency of deformities in anurans might be an economical screening tool to assess ecosystem health and the presence of environmental contaminants.
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http://dx.doi.org/10.7589/0090-3558-33.1.95 | DOI Listing |
BMC Musculoskelet Disord
January 2025
Department of Pediatric Orthopaedics, Children's Hospital of Fudan University, National Children's Medical Center, 399 Wanyuan Rd, Minhang District, Shanghai, 201102, China.
Purpose: Ollier's disease (multiple enchondromatosis) can cause severe lower limb length discrepancy and deformity in children. Osteotomy and limb lengthening with external fixation can correct the lower extremity deformity. There may be lesions in the osteotomy part (OP), and the internal fixation part of the external fixation(FP).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Orthopedics, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, P. R. China.
Purpose: The present study is to explore the appropriate plantar support force for its effect on improving the collapse of the medial longitudinal arch with flexible flatfoot.
Methods: A finite element model with the plantar fascia attenuation was constructed simulating as flexible flatfoot. The appropriate plantar support force was evaluated.
Sci Rep
January 2025
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone to human errors. We propose a novel, deep-learning-based approach to automatic detection of 3D landmarks in CT images of the lower limb.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopedic Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
This study aimed to determine whether hallux pronation influences the proximal to distal phalangeal articular angle (PDPAA) and evaluate its relationship with postoperative recurrence. We included 94 hallux valgus (HV) patients who underwent distal chevron metatarsal osteotomy (DCMO) alone (DCMO-only group, n = 15) and DCMO with Akin osteotomy (DCMO + Akin group, n = 79). Preoperative additional toe radiographs were taken under supination stress to position the pronated toe as a true anteroposterior orientation.
View Article and Find Full Text PDFWorld J Orthop
December 2024
Department of Orthopaedic Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Background: Pes planus (flatfoot) and pes cavus (high arch foot) are common foot deformities, often requiring clinical and radiographic assessment for diagnosis and potential subsequent management. Traditional diagnostic methods, while effective, pose limitations such as cost, radiation exposure, and accessibility, particularly in underserved areas.
Aim: To develop deep learning algorithms that detect and classify such deformities using smartphone cameras.
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