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Matthew J, Uus A, De Souza L, Wright R, Fukami-Gartner A, Priego G, Saija C, Deprez M, Collado AE, Hutter J, Story L, Malamateniou C, Rhode K, Hajnal J, Rutherford MA. Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models. BMC Med Imaging 2024; 24:52. [PMID: 38429666 PMCID: PMC10905839 DOI: 10.1186/s12880-024-01230-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/19/2024] [Indexed: 03/03/2024] Open
Abstract
This study explores the potential of 3D Slice-to-Volume Registration (SVR) motion-corrected fetal MRI for craniofacial assessment, traditionally used only for fetal brain analysis. In addition, we present the first description of an automated pipeline based on 3D Attention UNet trained for 3D fetal MRI craniofacial segmentation, followed by surface refinement. Results of 3D printing of selected models are also presented.Qualitative analysis of multiplanar volumes, based on the SVR output and surface segmentations outputs, were assessed with computer and printed models, using standardised protocols that we developed for evaluating image quality and visibility of diagnostic craniofacial features. A test set of 25, postnatally confirmed, Trisomy 21 fetal cases (24-36 weeks gestational age), revealed that 3D reconstructed T2 SVR images provided 66-100% visibility of relevant craniofacial and head structures in the SVR output, and 20-100% and 60-90% anatomical visibility was seen for the baseline and refined 3D computer surface model outputs respectively. Furthermore, 12 of 25 cases, 48%, of refined surface models demonstrated good or excellent overall quality with a further 9 cases, 36%, demonstrating moderate quality to include facial, scalp and external ears. Additional 3D printing of 12 physical real-size models (20-36 weeks gestational age) revealed good/excellent overall quality in all cases and distinguishable features between healthy control cases and cases with confirmed anomalies, with only minor manual adjustments required before 3D printing.Despite varying image quality and data heterogeneity, 3D T2w SVR reconstructions and models provided sufficient resolution for the subjective characterisation of subtle craniofacial features. We also contributed a publicly accessible online 3D T2w MRI atlas of the fetal head, validated for accurate representation of normal fetal anatomy.Future research will focus on quantitative analysis, optimizing the pipeline, and exploring diagnostic, counselling, and educational applications in fetal craniofacial assessment.
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Affiliation(s)
- Jacqueline Matthew
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK.
- Guy's and St Thomas' NHS Foundation Trust, London, UK.
| | - Alena Uus
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Leah De Souza
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Robert Wright
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Abi Fukami-Gartner
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Gema Priego
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Barking, Havering and Redbridge University Hospitals NHS Trust, London, UK
| | - Carlo Saija
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Maria Deprez
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Alexia Egloff Collado
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Jana Hutter
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Lisa Story
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Kawal Rhode
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Jo Hajnal
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
| | - Mary A Rutherford
- School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, UK
- Guy's and St Thomas' NHS Foundation Trust, London, UK
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Skelton E, Webb R, Malamateniou C, Rutherford M, Ayers S. The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review. J Reprod Infant Psychol 2024; 42:22-44. [PMID: 35736666 DOI: 10.1080/02646838.2022.2088710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 06/04/2022] [Indexed: 10/17/2022]
Abstract
INTRODUCTION Medical imaging in pregnancy (antenatal imaging) is routine. However, the effect of seeing fetal images on the parent-fetal relationship is not well understood, particularly for fathers or partners, or when using advanced imaging technologies. This review aimed to explore how parent experience and prenatal attachment is impacted by antenatal imaging. METHOD Database searches were performed between September 2020 and April 2021 Inclusion criteria were English language primary research studies published since 2000, describing or reporting measures of attachment after antenatal imaging in expectant parents. The Pillar Integration Process was used for integrative synthesis. FINDINGS Twenty-three studies were included. Six pillar themes were developed: 1) the scan experience begins before the scan appointment; 2) the scan as a pregnancy ritual; 3) feeling actively involved in the scan; 4) parents' priorities for knowledge and understanding of the scan change during pregnancy; 5) the importance of the parent-sonographer partnership during scanning; and 6) scans help to create a social identity for the unborn baby. CONCLUSION Antenatal imaging can enhance prenatal attachment. Parents value working collaboratively with sonographers to be actively involved in the experience. Sonographers can help facilitate attachment by delivering parent-centred care tailored to parents' emotional and knowledge needs.
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Affiliation(s)
- Emily Skelton
- Division of Radiography and Midwifery, City University of London, London, UK
| | - Rebecca Webb
- Centre for Maternal and Child Health Research, City University of London, London, UK
| | | | | | - Susan Ayers
- Centre for Maternal and Child Health Research, City University of London, London, UK
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Baldisserotto ML, Theme Filha MM. Construct validity and reliability of the Brazilian version of the Maternal-Fetal Attachment Scale (MFAS): a proposal for a 12-item short version. CAD SAUDE PUBLICA 2023; 39:e00133922. [PMID: 37255189 PMCID: PMC10549973 DOI: 10.1590/0102-311xen133922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 02/03/2023] [Accepted: 03/30/2023] [Indexed: 06/01/2023] Open
Abstract
This study aimed to update the assessment of construct validity and reliability of the Brazilian version of the Maternal-Fetal Attachment Scale (MFAS). This is part of a cohort study, in which the scale was applied to 415 pregnant women. The factor structure was verified via structural equation models. Comparative fit index (CFI), Tucker-Lewis index (TLI), and root mean square error of approximation (RMSEA) were used to verify the model fit. Additionally, to test the validity of the MFAS based on external variables, generalized linear model was performed to test the association between obstetric variables, social support, and symptoms of depression with the MFAS. The reliability was analyzed via the composite reliability coefficient (CR). The 12-item short version of the Brazilian MFAS showed adequate parameters of construct validity (CFI = 0.969, TLI = 0.960 and RMSEA = 0.032, 90%CI: 0.012-0.048) and is composed of three factors ("empathy and care", "role-taking", and "interaction with the fetus") containing 12 items. The total scores of the MFAS were positively correlated with social support (p-value < 0.001) and negatively correlated with depressive symptoms (p-value = 0.007). Moreover, women who live with a partner (p-value = 0.026) and had intended pregnancies (p-value < 0.001) presented a better bond with the fetus. Regarding reliability, factors 1 and 2 showed adequate values (CR = 0.72 and CR = 0.82, respectively) and factor 3 regular value (CR = 0.63). This 12-item short version of the Brazilian MFAS may be a reliable and valid instrument for scientific studies and clinical assistance in Brazil.
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Coté JJ, Côté-Arsenault D, Handelzalts JE, Badura-Brack AS, Kalata M, Walters RW, Kasinath P, Kump DA, Herbig K, Tampi R. Effects of 3D-Printed Models and 3D Printed Pictures on Maternal- and Paternal-Fetal Attachment, Anxiety, and Depression. J Obstet Gynecol Neonatal Nurs 2023; 52:223-234. [PMID: 36940782 DOI: 10.1016/j.jogn.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 02/16/2023] [Accepted: 02/23/2023] [Indexed: 03/19/2023] Open
Abstract
OBJECTIVE To compare the effect of a 3D-printed model versus 3D printed pictures on maternal- and paternal-fetal attachment, pregnancy-related anxiety, and depression in parents in the third trimester. DESIGN Randomized controlled trial. SETTING University- and clinic-affiliated hospital system. PARTICIPANTS Between August 2020 and July 2021, we screened 419 women for eligibility. A total of 184 participants (n = 95 women and n = 89 men) were included in the intention-to-treat analysis, of whom 47 women and 44 men received the 3D-printed model, whereas 48 women and 45 men received the 3D printed picture. METHODS Participants completed a set of questionnaires before they received third trimester 3D ultrasonography and a second set of questionnaires approximately 14 days after the study ultrasonography. The primary outcome was the global Maternal and Paternal Antenatal Attachment scale scores. Secondary outcomes included the Maternal and Paternal Antenatal Attachment subscale scores, global Generalized Anxiety Disorder-7 scores, global Patient Health Questionnaire-9 scores, and global Pregnancy-Related Anxiety Questionnaire-Revised (second version) scores. We used multilevel models to estimate the effect of the intervention. RESULTS We found a statistically significant increase in mean attachment scores after the 3D printed picture and 3D-printed model intervention of 0.26, 95% confidence interval (CI) [0.22, 0.31], p < .001. Additionally, we found statistically significant improvement in depression (mean change = -1.08, 95% CI [-1.54, -0.62], p < .001), anxiety (mean change = -1.38, 95% CI [-1.87, -0.89], p < .001), and pregnancy-related anxiety (mean change = -2.92, 95% CI [-4.11, -1.72], p < .001) scores. We found no statistically significant between-group differences related to maternal or paternal attachment, anxiety, depression, or pregnancy-related anxiety. CONCLUSIONS Our findings support the use of 3D printed pictures and 3D-printed models to improve prenatal attachment, anxiety, depression, and pregnancy-related anxiety.
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Coté JJ, Coté BP, Badura-Brack AS. 3D printed models in pregnancy and its utility in improving psychological constructs: a case series. 3D Print Med 2022; 8:16. [PMID: 35678895 PMCID: PMC9178798 DOI: 10.1186/s41205-022-00144-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 05/30/2022] [Indexed: 12/01/2022] Open
Abstract
Background 3D printing is being utilized in almost every aspect of medicine. 3D printing has especially been used in conjunction with 3D ultrasonography to assist in antenatal assessment and presurgical planning with fetal malformations. As printing capabilities improve and applications are explored there may be more advantages for all parents to visualize and touch 3D printed models of their fetus. Case presentation We present three cases involving 3D printed models and four different but interrelated psychological constructs- antenatal depression, antenatal anxiety, maternal-fetal attachment, and paternal-fetal attachment. Each case shows for the first time possible beneficial effects within these prevalent and significant problems. Conclusions The degree to which the anxiety, depression, and attachment scores improved after the presentation of the 3D printed models is encouraging. Randomized controlled trials utilizing 3D printed models to improve psychological constructs should be supported considering the findings within these four cases.
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Affiliation(s)
- John Joseph Coté
- Department of Obstetrics and Gynecology, CommonSpirit Health, Creighton University School of Medicine, 16909 Lakeside Hills Court, Suite 401, Omaha, NE, 68130, USA.
| | - Brayden Patric Coté
- Department of Psychological Science, Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
| | - Amy S Badura-Brack
- Department of Psychological Science, Creighton University, 2500 California Plaza, Omaha, NE, 68178, USA
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Nicot R, Hurteloup E, Joachim S, Druelle C, Levaillant JM. Using low-cost 3D-printed models of prenatal ultrasonography for visually-impaired expectant persons. PATIENT EDUCATION AND COUNSELING 2021; 104:2146-2151. [PMID: 33640233 DOI: 10.1016/j.pec.2021.02.033] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 02/12/2021] [Accepted: 02/15/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND For visually impaired or blind patients, the experience of pregnancy sets them apart from nondisabled people for whom viewing of the first ultrasound has become a social and emotional milestone. OBJECTIVE We proposed the use of 3D-printed models to allow the societal inclusion of visually impaired or blind expectant parents. PATIENT INVOLVEMENT Visually impaired expectant parents were proposed to touch a 3D printed sensory vector of their prenatal classic ultrasonography. METHODS After a classic ultrasound assessment was performed, selected volumes were processed and 3D-printed with acrylonitrile butadiene styrene. Patient satisfaction was recorded after they manipulated the models. RESULTS A total of 42 prenatal 3D prints were for 12 expectant parents, used during 20 ultrasonographic sessions with visually impaired or blind expectant parents. During 13 of them (65%), it was the mother who was affected by a visual loss whereas the father was the parent affected by the disability during 7 sessions (35%). The parent affected by the disability was congenitally blind and Braille-reader in 9 ultrasonography sessions (45%). All expectant visually impaired or blind parents expressed very significant satisfaction with the use of 3D models for inclusive use. DISCUSSION We have shown that acrylonitrile butadiene styrene-printed models improve the sonographic experience of visually impaired or blind expectant parents. They can thereby perform their own mental representation process by extrapolating sensory information obtained from the 3D tactile support. PRACTICAL VALUE These low-cost 3D-printed models improve the inclusion of visually impaired or blind expectant parents, by offering them a sensory vector of information.
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Affiliation(s)
- Romain Nicot
- Univ. Lille, CHU Lille, INSERM, Oral and Maxillofacial Surgery Department, U1008 - Controlled Drug Delivery Systems and Biomaterial, F-59000 Lille, France; Center for Woman and Fetal Imaging, F-59000, France.
| | - Edwige Hurteloup
- Center for Woman and Fetal Imaging, F-59000, France; Hôpital Privé Armand Brillard, Groupe Ramsay Générale De Santé, F-94130 Nogent-sur-Marne, France
| | | | - Charles Druelle
- Univ. Lille, CHU Lille, Oral and Maxillofacial Surgery Department, F-59000 Lille, France
| | - Jean-Marc Levaillant
- Center for Woman and Fetal Imaging, F-59000, France; Hôpital Privé Armand Brillard, Groupe Ramsay Générale De Santé, F-94130 Nogent-sur-Marne, France
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Applications of Advanced Ultrasound Technology in Obstetrics. Diagnostics (Basel) 2021; 11:diagnostics11071217. [PMID: 34359300 PMCID: PMC8306830 DOI: 10.3390/diagnostics11071217] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/28/2021] [Accepted: 07/03/2021] [Indexed: 12/21/2022] Open
Abstract
Over the years, there have been several improvements in ultrasound technologies including high-resolution ultrasonography, linear transducer, radiant flow, three-/four-dimensional (3D/4D) ultrasound, speckle tracking of the fetal heart, and artificial intelligence. The aims of this review are to evaluate the use of these advanced technologies in obstetrics in the midst of new guidelines on and new techniques of obstetric ultrasonography. In particular, whether these technologies can improve the diagnostic capability, functional analysis, workflow, and ergonomics of obstetric ultrasound examinations will be discussed.
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Coté JJ, Haggstrom J, Vivekanandan R, Coté KA, Real DL, Weber DP, Cheng A, Dubay NG, Farias-Eisner R. COVID-19 and a novel initiative to improve safety by 3D printing personal protective equipment parts from computed tomography. 3D Print Med 2020; 6:20. [PMID: 32785811 PMCID: PMC7422464 DOI: 10.1186/s41205-020-00073-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/30/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Powered air-purifying respirators are in short supply and can break down with extended use. Replacement parts can become hard to acquire. The aim of this study was to create an innovative quality improvement proof of concept using rapid prototyping. METHODS Here we report three cases of 3D printed powered air-purifying respirator parts. 3D printing was performed on all parts using fused deposition modeling with standard polylactic acid, in the same way that presurgical models would be created. Measurements using an electronic caliper as well as CT scans were used to compare an original part to its corresponding 3D printed parts for accuracy. RESULTS Electronic caliper and computed tomography measurements both showed accuracy consistant with current published norms. CONCLUSIONS Ultimately, there will be questions surrounding intellectual property, effectiveness and potential long-term safety for these types of 3D printed parts. Future research should look into the addition of specific nanoparticles from the position of cost, efficacy, safety and improved accuracy.
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Affiliation(s)
- John J Coté
- Department of Obstetrics and Gynecology CHI Health, Creighton University School of Medicine, Omaha, NE, USA.
| | - John Haggstrom
- Department of Radiology, Creighton University School of Medicine, Omaha, NE, USA
| | - Ranuga Vivekanandan
- Department of Medicine Division of Infectious Disease CHI Health, Creighton University School of Medicine, Omaha, NE, USA
| | | | | | | | - Anne Cheng
- Creighton University School of Medicine, Omaha, NE, USA
| | | | - Robin Farias-Eisner
- Department of Obstetrics and Gynecology CHI Health, Creighton University School of Medicine, Omaha, NE, USA.
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