Materiały źródłowe

• #1 Craniosynostosis – StatPearls – NCBI Bookshelf

  https://www.ncbi.nlm.nih.gov/books/NBK544366/

  If left untreated, craniosynostosis can affect development due to the growth restriction of the brain and increased intracranial pressure. […] Children with single-suture synostosis have less developmental delay compared to children with multi-sutural or syndromic craniosynostosis, with delays reported in up to 35% to 50% of children with single-suture craniosynostosis. […] Although based on a small sample size, a study examining the neurodevelopmental outcomes in patients with metopic craniosynostosis found that, overall, these individuals had an above-average intelligence quotient and academic achievement close to the national average. […] The study also found a correlation between the preoperative radiographic severity and the decline in performance. […] Another study showed children with metopic craniosynostosis have more difficulties with executive function compared to those with other subtypes of single-suture craniosynostosis.

• #2 Pediatric Craniosynostosis: UF Pediatric Neurosurgery » Pediatric Craniosynostosis » Lillian S. Wells Department of Neurosurgery at the University of Florida » College of Medicine » University of Florida

  https://neurosurgery.ufl.edu/patient-care/pediatric-neurosurgery/pediatric-diseases-conditions-services/pediatric-craniosynostosis/

  Craniosynostosis must be ruled out because it has significant medical implications. Early diagnosis and treatment of craniosynostosis improves outcomes and reduces possible adverse effects on brain development. […] Left untreated, craniosynostosis can result in further cranial deformity and potentially an overall restriction in head growth, with secondary increased intracranial pressure. It can also lead to psychosocial issues as the child interacts with peers during development. […] Connecting patients with a pediatric craniofacial center as early as possible is essential as it allows all options to be offered. […] The goals of craniosynostosis surgery are to unlock and reshape the bones. […] Minimally invasive surgery produces the most successful outcomes when performed on children before the age of 6 months. […] The helmet does not press the skull into shape but rather directs the growth of the skull into a more normal shape. […] Cranial distraction can be employed to create more intracranial volume.

• #3 Craniosynostosis: Causes, Symptoms, Treatment & Types

  https://my.clevelandclinic.org/health/diseases/6000-craniosynostosis

  Your childs outlook (prognosis) varies depending on their overall health and how many sutures in their skull are closed. Most children who receive a timely diagnosis and undergo treatment have a good prognosis. Treatment within your babys first year minimizes developmental problems. […] Most babies diagnosed with craniosynostosis have a normal life expectancy, especially if their healthcare provider diagnoses and treats the condition within the first few years of life. Each childs life expectancy can vary based on the severity of the condition.

• #4 Craniosynostosis – StatPearls – NCBI Bookshelf

  https://www.ncbi.nlm.nih.gov/books/NBK544366/

  Further studies have demonstrated subtle differences in achievement, although patients fall within the normal range of IQ. […] Other studies have shown consistently lower neurodevelopmental scores in patients with single-suture craniosynostosis compared to those without craniosynostosis. […] Follow-up is recommended to determine the need for further surgical correction. […] A study found that up to 8.8% of patients were found to have secondary craniosynostosis of sutures that were initially patent before the first operation. […] Furthermore, patients should be followed by ophthalmology to screen for papilledema. […] With early identification of developmental gaps and placement in support programs, a negative academic and cognitive outcome may be reduced.

• #5 Recently-identified genetic forms of craniosynostosis | Great Ormond Street Hospital

  https://www.gosh.nhs.uk/conditions-and-treatments/conditions-we-treat/new-genetic-forms-craniosynostosis/

  The outlook for children with these recently identified forms of craniosynostosis is generally good with the vast majority growing up to lead a normal life, working and raising a family, although it will vary depending on any other medical conditions present. […] Children may have learning disabilities, although the severity of these is variable. Most will benefit from support in education and day to day life although a degree of independence may be possible.

• #6 Data-driven cranial suture growth model enables predicting phenotypes of craniosynostosis | Scientific Reports

  https://www.nature.com/articles/s41598-023-47622-7

  We used our model to simulate the phenotypes of single suture craniosynostosis, which we compared to the observations from 212 patients. […] Our model allows modifying the inferred sutural growth rates to simulate cranial suture pathology. […] We quantified its accuracy reproducing the abnormal cranial shapes in the presence of craniosynostosis by comparing our simulations with a cross-sectional dataset of patients (Dataset C). […] We obtained predictive errors that were lower than the difference between our average predictions of craniosynostosis and the observed cross-sectional phenotypes in Dataset C.

• #7

  https://discovery.ucl.ac.uk/id/eprint/10162217/

  The overall aim of this thesis was to develop a computational approach using the finite element (FE) method capable of predicting and optimising the long term outcomes for treating sagittal craniosynostosis. […] Based on the findings of this thesis, the *** approach proved the most optimal across the predicted outcomes. […] The novel methodology and platform developed here has huge potential to better inform surgeons of the impact various techniques could have on long term outcomes and continue to improve the quality of care for patients undergoing corrective surgery.

• #8

  https://link.springer.com/article/10.1007/s10237-019-01229-y

  Sagittal craniosynostosis consists of premature fusion (ossification) of the sagittal suture during infancy, resulting in head deformity and brain growth restriction. […] Although safe and effective, SAC outcomes remain uncertain. We aimed hereby to obtain and validate a skull material model for SAC outcome prediction. […] The accuracy and reliability of the developed computational model of SAC were increased using population data: this tool is now ready for prospective clinical application. […] As stated by Malde et al. (2019), only a few works in the literature describe methods for predicting the surgical outcome of craniosynostosis correction. […] The implementation of population averaged values into the model showed no improvement in the prediction of on-table opening, while the prediction of spring opening at FU1 and FU2 improved significantly.

• #9

  https://link.springer.com/article/10.1007/s10237-019-01229-y

  The predicted population value for Young’s modulus was highly close to the value reported in the literature for 6 month old children and used for the baseline model. […] This work shows a framework for producing and validating a predictive model of SAC in a SC patient population. […] This model can now be used to perform prospective prediction of spring dynamics to inform surgical planning, perform distractor selection as well as improve pre-operative patient and parent information.

• #10 Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis | Scientific Reports

  https://www.nature.com/articles/s41598-020-72143-y

  Craniosynostosis is a condition in which cranial sutures fuse prematurely, causing problems in normal brain and skull growth in infants. To limit the extent of cosmetic and functional problems, swift diagnosis is needed. […] Early diagnosis and intervention is important as it often leads to more therapeutic options for surgeons and the best cosmetic results for patients. […] This study shows that trained deep learning algorithms, based on 3D stereophotographs, can discriminate between craniosynostosis subtypes and healthy controls with high accuracy. […] In this study, we demonstrate that 3D stereophotogrammetry combined with deep learning can provide a basis to accurately classify cranial shapes of healthy controls, scaphocephaly patients, trigonocephaly patients and anterior plagiocephaly patients.

• #11 Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis | Scientific Reports

  https://www.nature.com/articles/s41598-020-72143-y

  Although the overall performance of the models presented in this study is good, there was one discrepancy between the prediction and the actual diagnosis. […] Deep learning algorithms tend to perform better when large datasets are used during training. […] The rise of smartphone 3D stereophotogrammetry technology can aid in generating larger craniosynostosis datasets in the future. […] In conclusion, this study shows that trained deep learning algorithms, based on 3D stereophotographs, can discriminate between craniosynostosis subtypes and healthy controls with high accuracy.

• #12 Unilateral Coronal Craniosynostosis | SpringerLink

  https://link.springer.com/10.1007/978-3-319-72168-2_59

  Unilateral coronal craniosynostosis (UCC) still represents a challenge to the neurosurgeon for the difficulties in properly evaluating the variable phenotypic presentation, the underlying genetic anomalies, the limits of the surgical correction, and, consequently, in predicting the prognosis. […] A proper classification of the different degrees of severity of the malformation might help in establishing a correct surgical planning and predicting the prognosis more accurately.

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