1
|
Avena-Zampieri CL, Hutter J, Rutherford M, Milan A, Hall M, Egloff A, Lloyd DFA, Nanda S, Greenough A, Story L. Assessment of the fetal lungs in utero. Am J Obstet Gynecol MFM 2022; 4:100693. [PMID: 35858660 PMCID: PMC9811184 DOI: 10.1016/j.ajogmf.2022.100693] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/12/2022] [Accepted: 07/12/2022] [Indexed: 01/07/2023]
Abstract
Antenatal diagnosis of abnormal pulmonary development has improved significantly over recent years because of progress in imaging techniques. Two-dimensional ultrasound is the mainstay of investigation of pulmonary pathology during pregnancy, providing good prognostication in conditions such as congenital diaphragmatic hernia; however, it is less validated in other high-risk groups such as those with congenital pulmonary airway malformation or preterm premature rupture of membranes. Three-dimensional assessment of lung volume and size is now possible using ultrasound or magnetic resonance imaging; however, the use of these techniques is still limited because of unpredictable fetal motion, and such tools have also been inadequately validated in high-risk populations other than those with congenital diaphragmatic hernia. The advent of advanced, functional magnetic resonance imaging techniques such as diffusion and T2* imaging, and the development of postprocessing pipelines that facilitate motion correction, have enabled not only more accurate evaluation of pulmonary size, but also assessment of tissue microstructure and perfusion. In the future, fetal magnetic resonance imaging may have an increasing role in the prognostication of pulmonary abnormalities and in monitoring current and future antenatal therapies to enhance lung development. This review aims to examine the current imaging methods available for assessment of antenatal lung development and to outline possible future directions.
Collapse
Affiliation(s)
- Carla L Avena-Zampieri
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Jana Hutter
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Mary Rutherford
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Anna Milan
- Neonatal Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Megan Hall
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Alexia Egloff
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - David F A Lloyd
- Centre for the Developing Brain, King's College London, London, United Kingdom
| | - Surabhi Nanda
- Fetal Medicine Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Anne Greenough
- Department of Women and Children's Health, King's College London, London, United Kingdom; Neonatal Unit, King's College Hospital, London, United Kingdom; Asthma UK Centre in Allergic Mechanisms of Asthma, King's College London, London, United Kingdom; National Institute for Health and Care Research Biomedical Research Centre, Guy's & St Thomas National Health Service Foundation Trust and King's College London, London, United Kingdom
| | - Lisa Story
- Department of Women and Children's Health, King's College London, London, United Kingdom; Centre for the Developing Brain, King's College London, London, United Kingdom; Fetal Medicine Unit, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom.
| |
Collapse
|
2
|
Du X, Wei H, Zhang B, Gao S, Li Z, Cheng Y, Fan Y, Zhou X, Yao W. Experience in utilizing a novel 3D digital model with CT and MRI fusion data in sarcoma evaluation and surgical planning. J Surg Oncol 2022; 126:1067-1073. [PMID: 35779067 DOI: 10.1002/jso.26999] [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: 01/26/2022] [Revised: 05/31/2022] [Accepted: 06/23/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To assess sarcoma margins with more accuracy and aid surgical planning, we constructed three-dimensional (3D) digital models with computed tomography(CT) and magnetic resonance imaging (MRI) image fusion data and validated the preciseness of the models by comparing them with 3D models constructed with CT only data. MATERIALS AND METHODS We retrospectively reviewed a consecutive set of patients treated in our center who were preoperatively evaluated with the fusion image model. Models based on fusion images or CT-only data were constructed. Volumes of both tumors were calculated and the tumors were overlapped to see the location of differences between the two models. RESULTS A consecutive 12 cases (4 male vs. 8 female) were included in this study. Most of the tumors were located in the pelvic bone or spine. The volume of the two tumor models was different and the differences were mainly in the peripheral region of the tumor. CONCLUSION CT and MRI fusion image 3D models are more accurate than models with CT-only data and can be very helpful in preoperative planning of sarcoma patients.
Collapse
Affiliation(s)
- Xinhui Du
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| | - Hua Wei
- Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Boya Zhang
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| | - Shilei Gao
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| | - Zhehuang Li
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| | - Yu Cheng
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Yichao Fan
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| | - Xiaotian Zhou
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Weitao Yao
- Bone and Soft Tissue Department, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.,Key Laboratory for Digital Assessment of Spinal-Pelvic Tumor and Surgical Aid Tools Design (Zhengzhou), Zhengzhou, Henan, China.,Key Laboratory for Perioperative Digital Assessment of Bone Tumors (Henan), Zhengzhou, Henan, China
| |
Collapse
|
3
|
Arechvo A, Lingman G, Thurn L, Jansson T, Jokubkiene L. Fusion imaging in brain structure measurements on a fetus phantom, combining real-time ultrasound with magnetic resonance imaging. Australas J Ultrasound Med 2021; 24:161-172. [PMID: 34765426 PMCID: PMC8409451 DOI: 10.1002/ajum.12246] [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: 06/22/2020] [Revised: 01/29/2021] [Indexed: 11/21/2022] Open
Abstract
Objectives To assess synchronisation of MRI and US in measuring foetus phantom head structures; inter‐method, intra‐ and inter‐observer differences on biparietal diameter (BPD), head diameter, anterio‐posterior head diameter (HAP) and lateral ventricle structures (VS). Methods Fusion Imaging (FI) has been performed by combining MRI and US simultaneously. Axial scans of 1.5 Tesla MRI on a foetus phantom were acquired and uploaded on a US machine (EPIQ 7G, Philips). A PercuNav US tracker allowed the system to recognise and display the position of the transducer. A fetal phantom tracker was used as a phantom reference. Real‐time US of the phantom head was performed by synchronising the uploaded MRI images using different landmarks. Synchronisation has been assessed by taking measurements after rotating the US probe by 90. Measurements were taken by three different observers twice. Differences in measurements between MRI and US, inter‐, intra‐observer differences in all measurements were assessed. Results BPD, HAP and VS measurements before rotation were 0.13 ± 0.06 cm, 0.46 ± 0.09 cm and 0.4 ± 0.23 cm (width) and mean 0.6 ± 0.25 cm (length) larger at MRI than at US using any number of landmarks. After US probe rotation VS were 0.3 ± 0.24 cm in width and 0.3 ± 0.27 cm in length. Intra‐ and inter‐observer differences in all measurements were small. Conclusions FI showed good synchronisation in measurements. BPD, HAP and VS were larger at MRI than US, likely a result of the way images are generated. Intra‐, inter‐observer differences between measurements were small. This can be important when reporting geometric measures from FI.
Collapse
Affiliation(s)
- Anastasija Arechvo
- Department of Obstetrics and Gynecology Skåne University Hospital Lund University Lund Sweden
| | - Göran Lingman
- Department Obstetrics and Gynecology IKVL Medical Faculty Lund University Lund Sweden
| | - Lars Thurn
- Department of Obstetrics and Gynecology Skåne University Hospital Lund University Lund Sweden
| | - Tomas Jansson
- Department of Clinical Sciences Lund Biomedical Engineering Lund University Lund Sweden.,Clinical Engineering Skåne Medical Services Lund Sweden
| | - Ligita Jokubkiene
- Department of Obstetrics and Gynecology Skåne University Hospital Lund University Lund Sweden
| |
Collapse
|
4
|
Faragallah OS, El-Hoseny H, El-Shafai W, El-Rahman WA, El-Sayed HS, El-Rabaie ESM, El-Samie FEA, Geweid GGN. A Comprehensive Survey Analysis for Present Solutions of Medical Image Fusion and Future Directions. IEEE ACCESS 2021; 9:11358-11371. [DOI: 10.1109/access.2020.3048315] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- Osama S. Faragallah
- Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia
| | - Heba El-Hoseny
- Department of Electronics and Electrical Communication Engineering, Al-Obour High Institute for Engineering and Technology, Al-Obour, Egypt
| | - Walid El-Shafai
- Department of Electronics and Communication Engineering, Faculty of Electronic Engineering, Menofia University, Menouf, Egypt
| | - Wael Abd El-Rahman
- Department of Electrical Engineering, Faculty of Engineering, Benha University, Benha, Egypt
| | - Hala S. El-Sayed
- Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Shebeen El-Kom, Egypt
| | - El-Sayed M. El-Rabaie
- Department of Electronics and Communication Engineering, Faculty of Electronic Engineering, Menofia University, Menouf, Egypt
| | - Fathi E. Abd El-Samie
- Department of Electronics and Communication Engineering, Faculty of Electronic Engineering, Menofia University, Menouf, Egypt
| | - Gamal G. N. Geweid
- Department of Electrical Engineering, Faculty of Engineering, Benha University, Benha, Egypt
| |
Collapse
|
5
|
Prayer D, Deprest J. The use of MRI in fetal conditions amenable for antenatal management. Prenat Diagn 2020; 40:3-5. [PMID: 31860748 DOI: 10.1002/pd.5629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 11/16/2019] [Indexed: 11/12/2022]
Affiliation(s)
- Daniela Prayer
- Department of Biomedical Imaging and Image-guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Austria
| | - Jan Deprest
- Clinical Department of Obstetrics and Gynaecology, University Hospitals Leuven, and Academic Development and Regeneration, Cluster Woman and Child, Leuven, Belgium.,Institute for Women's Health, University College London, London, UK
| |
Collapse
|