Purpose: To investigate the impact of the pre-operative axial length (AL) on myopic shift (MS) 3 years after primary intraocular lens (IOL) implantation in congenital/developmental cataract patients.

Methods: A retrospective study of patients who underwent congenital/developmental cataract surgery and primary IOL implantation at age 2-3 years at EENT Hospital was conducted. All patients were followed up regularly for at least 3 years after surgery. Refractive outcomes, including spherical equivalent (SE) and MS, were collected at each follow-up.

Results: Forty eyes from 40 patients were included. The mean age at surgery was 2.56 ± 0.57 years old, and the mean follow-up time was 3.05 ± 0.22 years. Patients were divided into two groups: Group 1 included 20 patients with longer pre-operative ALs (≥22 mm), and Group 2 included 20 patients with average pre-operative ALs (<22 mm). By the last follow-up, the MS was 2.13 (0.38, 2.63) D in Group 1 and 3.88 (2.85, 5.72) D in Group 2. The post-operative MS in Group 2 was statistically greater than that in Group 1 at 3 years after surgery ( < 0.001).

Conclusion: In congenital/developmental cataract patients who underwent cataract extraction and primary IOL implantation at age 2-3 years, eyes with longer pre-operative ALs had a slower MS than those with average pre-operative ALs 3 years after surgery. This finding could have implications for the target refraction decision in congenital/developmental cataract surgery.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874092PMC
http://dx.doi.org/10.3389/fmed.2022.1093276DOI Listing

Publication Analysis

Top Keywords

impact pre-operative
8
pre-operative axial
8
axial length
8
length myopic
8
myopic shift
8
shift years
8
cataract surgery
8
intraocular lens
8
iol implantation
8
congenital/developmental cataract
8

Similar Publications

The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review.

Curr Res Transl Med

January 2025

Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.

This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.

View Article and Find Full Text PDF

Background & Aims: Body composition is an objective assessment reflecting nutritional status and is highly gender different. Surgical resection, the standard treatment for early-stage hepatocellular carcinoma (HCC), is an energy-consuming major operation that would affect body composition. However, the impacts of body composition on the post-operative prognosis of HCC are still uncertain.

View Article and Find Full Text PDF

Orthopedic surgery and traumatology necessitate cost-effective approaches that can be replicated across multiple venues. Finite Element (FE) simulation models have evolved as a solution, allowing for consistent investigations into biomechanical systems. Finite Element Analysis (FEA), which began in the 1950s aviation industry, has since expanded into orthopedics.

View Article and Find Full Text PDF

Impact of Artificial Intelligence (AI) Image Enhancing Filters on Patient Expectations for Plastic Surgery Outcomes.

Aesthetic Plast Surg

January 2025

Division of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.

Background: Artificial intelligence (AI) technologies use a three-part strategy for facial visual enhancement: (1) Facial Detection, (2) Facial Landmark Detection, and (3) Filter Application (Chen in Arch Fac Plast Surg 21:361-367, 2019). In the context of the surgical patient population, open-source AI algorithms are capable of modifying or simulating images to present potential results of plastic surgery procedures. Our primary aim was to understand whether AI filter use may influence individuals' perceptions and expectations of post-surgical outcomes.

View Article and Find Full Text PDF

The importance of multiple Z- plasty- assisted physical therapy in the treatment of Dupuytren's contracture.

J Orthop Surg Res

January 2025

Department of Physical Medicine, Rheumatology and Rehabilitation, Faculty of Medicine, Tanta University, Tanta, Egypt.

Background: The palmar aponeurosis is extremely adherent to the skin above it. Many of the pre-tendinous coarse fibers enter the dermis at an angle, not just in the palmar creases but also throughout the palm. It's difficult to distinguish whether Dupuytren's illness starts in the skin's dermis or the palmar aponeurosis since the skin adheres so closely to the palmar fascia.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!