Publications by authors named "P J Cahill"

Article Synopsis
  • The paper discusses the importance of structured guidelines for returning to activity after spinal deformity surgery, emphasizing that a consistent approach can improve patient recovery and health outcomes.
  • It categorizes diverse patient groups, including early onset scoliosis, adolescent idiopathic scoliosis, young adults, adult spinal deformity, elite athletes, and general sports participants, offering tailored recommendations for each.
  • The document stems from an educational webinar and aims to standardize postoperative protocols, enhancing both surgeon practice and overall patient care.
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Purpose: Proximal junctional kyphosis is an infrequent complication in AIS; however, equipoise remains on the effects of ending a fusion proximally at the C7-T1 junction on the future development of PJK. The purpose of this study was to determine the rate of PJK in patients with AIS who had a UIV of T1 vs those with a UIV of T2 at 5 years of follow-up.

Methods: A query was performed of a prospective, multi-center AIS database of patients who received a PSF with at least 5 years of follow-up.

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Article Synopsis
  • Cerebral palsy can lead to scoliosis, which negatively affects lung function by compressing the diaphragm and abdomen; this study aimed to analyze how posterior spinal fusion (PSF) impacts diaphragm position and thoracic measurements over two years.
  • In a review of data from 56 pediatric patients who underwent PSF for scoliosis related to cerebral palsy, researchers compared preoperative and postoperative radiographs to assess changes in lung volume, diaphragm intrusion, and space for the lungs.
  • Results showed significant improvements, including a mean lung volume increase of 902 cm3, better diaphragm positioning, and increased lung space symmetry, indicating that correcting spinal deformities may enhance diaphragmatic function and overall thoracic balance.
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Article Synopsis
  • The study focuses on using dynamic magnetic resonance imaging (dMRI) to analyze diaphragm motion in patients with thoracic insufficiency syndrome (TIS), providing insights into the severity of respiratory disorders without exposing patients to radiation.
  • The paper outlines a three-step approach to segment the left and right hemi-diaphragm from dMRI images, overcoming challenges like low resolution and motion blur by employing advanced deep learning techniques for accurate recognition and delineation.
  • Results showed a mean-Hausdorff distance of approximately 3 mm for diaphragm delineation and a positional error of about 3 mm in identifying the mid-sagittal plane, validated using 100 test images of TIS patients.
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