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Grünherz V, Ebigbo A, Elia M, Brunner A, Krafft T, Pöller L, Schneider P, Stieler F, Bauer B, Muzalyova A, Messmann H, Nagl S. Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes. BMJ Open Gastroenterol 2024; 11:e001396. [PMID: 38844375 PMCID: PMC11167450 DOI: 10.1136/bmjgast-2024-001396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 05/26/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND AND AIMS Peroral endoscopic myotomy (POEM) is a standard treatment option for achalasia patients. Treatment response varies due to factors such as achalasia type, degree of dilatation, pressure and distensibility indices. We present an innovative approach for treatment response prediction based on an automatic three-dimensional (3-D) reconstruction of the tubular oesophagus (TE) and the lower oesophageal sphincter (LES) in patients undergoing POEM for achalasia. METHODS A software was developed, integrating data from high-resolution manometry, timed barium oesophagogram and endoscopic images to automatically generate 3-D reconstructions of the TE and LES. Novel normative indices for TE (volume×pressure) and LES (volume/pressure) were automatically integrated, facilitating pre-POEM and post-POEM comparisons. Treatment response was evaluated by changes in volumetric and pressure indices for the TE and the LES before as well as 3 and 12 months after POEM. In addition, these values were compared with normal value indices of non-achalasia patients. RESULTS 50 treatment-naive achalasia patients were enrolled prospectively. The mean TE index decreased significantly (p<0.0001) and the mean LES index increased significantly 3 months post-POEM (p<0.0001). In the 12-month follow-up, no further significant change of value indices between 3 and 12 months post-POEM was seen. 3 months post-POEM mean LES index approached the mean LES of the healthy control group (p=0.077). CONCLUSION 3-D reconstruction provides an interactive, dynamic visualisation of the oesophagus, serving as a comprehensive tool for evaluating treatment response. It may contribute to refining our approach to achalasia treatment and optimising treatment outcomes. TRIAL REGISTRATION NUMBER 22-0149.
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Affiliation(s)
- Vivian Grünherz
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Alanna Ebigbo
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | | | | | | | - Leo Pöller
- University of Augsburg, Augsburg, Germany
| | | | | | | | - Anna Muzalyova
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Helmut Messmann
- Department of Gastroenterology, Universitätsklinikum Augsburg, Augsburg, Germany
| | - Sandra Nagl
- University Hospital Augsburg, Augsburg, Germany
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Rui W, Yuhang S, Yang L, Yue Y, Ze T, Yujie Z, Xiaochao M, Da Q, Youbin C, Tianyu L. A new method for evaluating lung volume: AI-3D reconstruction. Front Physiol 2023; 14:1217411. [PMID: 37781229 PMCID: PMC10538118 DOI: 10.3389/fphys.2023.1217411] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 08/07/2023] [Indexed: 10/03/2023] Open
Abstract
Objective: This study aims to explore the clinical application of an AI-3D reconstruction system in measuring lung volume and analyze its practical value in donor-recipient size matching in lung transplantation. Methods: The study retrospectively collected data from 75 subjects who underwent a plethysmography examination and lung CT at the First Hospital of Jilin University. General data and information related to lung function, and imaging results were collected. The correlation between actual total lung volume (aTLV), predicted total lung volume (pTLV), and artificial intelligence three-dimensional reconstruction CT lung volume (AI-3DCTVol) was analyzed for the overall, male, and female groups. The correlation coefficient and the absolute error percentage with pTLV and AI-3DCTVol were obtained. Results: In the overall, male, and female groups, there were statistical differences (p <0.05) between the pTLV formula and AI-3D reconstruction compared to the plethysmography examination value. The ICC between pTLV and aTLV for all study participants was 0.788 (95% CI: 0.515-0.893), p <0.001. Additionally, the ICC value between AI-3D reconstruction and aTLV was 0.792 (95% CI: 0.681-0.866), p <0.001. For male study participants, the ICC between pTLV and aTLV was 0.330 (95% CI: 0.032-0.617), p = 0.006. Similarly, the ICC value between AI-3D reconstruction and aTLV was 0.413 (95% CI: 0.089-0.662), p = 0.007. In the case of female research subjects, the ICC between pTLV and aTLV was 0.279 (95% CI: 0.001-0.523), p = 0.012. Further, the ICC value between AI-3D reconstruction and aTLV was 0.615 (95% CI: 0.561-0.870), p <0.001. Conclusion: The AI-3D reconstruction, as a convenient method, has significant potential for application in lung transplantation.
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Affiliation(s)
- Wang Rui
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
- School of Public Health, Jilin University, Changchun, China
| | - Shang Yuhang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Li Yang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Yang Yue
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Tang Ze
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Zhao Yujie
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
- Department of Critical Medicine, The First Affiliated Hospital of Jiamusi University, Jiamusi, China
| | - Ma Xiaochao
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Qin Da
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Cui Youbin
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Lu Tianyu
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China
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Ma X, Lu T, Qin D, Cai H, Tang Z, Yang Y, Cui Y, Wang R. Analysis of pulmonary artery variation based on 3D reconstruction of CT angiography. Front Physiol 2023; 14:1156513. [PMID: 37234424 PMCID: PMC10206427 DOI: 10.3389/fphys.2023.1156513] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 04/12/2023] [Indexed: 05/28/2023] Open
Abstract
Objective: The aim of this study is to acquire pulmonary CT (Computed tomography) angiographic data for the purpose of creating a three-dimensional reconstruction. Additionally, we aim to analyze the features and deviations of the branches in both pulmonary lobes. This information is intended to serve as a more comprehensive and detailed reference for medical professionals when conducting preoperative evaluations and devising surgical plans. Method: Between August 2019 and December 2021, 420 patients were selected from the thoracic surgery department at the First Hospital of Jilin University, and underwent pulmonary 64 channel contrast enhanced CT examinations (Philips ICT 256). The images were acquired at a 1.5 mm slice thickness, and the DCM files that complied with DICOM (Digital Imaging and Communications in Medicine) standards were analysed for 3D (three dimensional) reconstruction using Mimics 22.0 software. The reconstructed pulmonary artery models were assessed by attending chest surgeons and radiologists with over 10 years of clinical experience. The two-dimensional image planes, as well as the coronary and sagittal planes, were utilized to evaluate the arteries. The study analyzed the characteristics and variations of the branches and courses of pulmonary arteries in each lobe of the lungs, with the exception of the subsegmental arterial system. Two chest surgeons and two radiologists with professional titles-all of whom had over a decade of clinical experience-jointly evaluated the 3D models of the pulmonary artery and similarly assessed the characteristics and variations of the branches and courses in each lobe of the lungs. Results: Significant variations were observed in the left superior pulmonary artery across the 420 subjects studied. In the left upper lobe, the blood supply of 4 arteries accounted for 50.5% (n = 212), while the blood supply of 2 arteries in the left lower lobe was the most common, accounting for 79.5% (n = 334). The greatest variation in the right pulmonary artery was observed in the branch supply of the right upper lobe mediastinal artery. In the majority of cases (77.9%), there were two arteries present, which was the most common configuration observed accounting for 64% (n = 269). In the right inferior lobe of the lung, there were typically 2-4 arteries, with 2 arteries being the most common configuration (observed in 79% of cases, n = 332). Conclusion: The three-dimensional reconstruction of pulmonary artery CT angiography enables clear observation of the branches and distribution of the pulmonary artery while also highlighting any variations. This technique holds significant clinical value for preoperative assessments regarding lesions and blood vessels.
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Affiliation(s)
- Xiaochao Ma
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Tianyu Lu
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Da Qin
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Hongfei Cai
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Ze Tang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yue Yang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Youbin Cui
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Rui Wang
- Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, Jilin, China
- School of Public Health, Jilin University, Changchun, Jilin, China
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Robb H, Scrimgeour G, Boshier P, Przedlacka A, Balyasnikova S, Brown G, Bello F, Kontovounisios C. The current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review. Surg Endosc 2022; 36:5907-5920. [PMID: 35277766 PMCID: PMC9283150 DOI: 10.1007/s00464-022-09176-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/24/2022] [Indexed: 01/02/2023]
Abstract
BACKGROUND 3D reconstruction technology could revolutionise medicine. Within surgery, 3D reconstruction has a growing role in operative planning and procedures, surgical education and training as well as patient engagement. Whilst virtual and 3D printed models are already used in many surgical specialities, oesophagogastric surgery has been slow in their adoption. Therefore, the authors undertook a scoping review to clarify the current and future roles of 3D modelling in oesophagogastric surgery, highlighting gaps in the literature and implications for future research. METHODS A scoping review protocol was developed using a comprehensive search strategy based on internationally accepted guidelines and tailored for key databases (MEDLINE, Embase, Elsevier Scopus and ISI Web of Science). This is available through the Open Science Framework (osf.io/ta789) and was published in a peer-reviewed journal. Included studies underwent screening and full text review before inclusion. A thematic analysis was performed using pre-determined overarching themes: (i) surgical training and education, (ii) patient education and engagement, and (iii) operative planning and surgical practice. Where applicable, subthemes were generated. RESULTS A total of 56 papers were included. Most research was low-grade with 88% (n = 49) of publications at or below level III evidence. No randomised control trials or systematic reviews were found. Most literature (86%, n = 48) explored 3D reconstruction within operative planning. These were divided into subthemes of pre-operative (77%, n = 43) and intra-operative guidance (9%, n = 5). Few papers reported on surgical training and education (14%, n = 8), and were evenly subcategorised into virtual reality simulation (7%, n = 4) and anatomical teaching (7%, n = 4). No studies utilising 3D modelling for patient engagement and education were found. CONCLUSION The use of 3D reconstruction is in its infancy in oesophagogastric surgery. The quality of evidence is low and key themes, such as patient engagement and education, remain unexplored. Without high quality research evaluating the application and benefits of 3D modelling, oesophagogastric surgery may be left behind.
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Affiliation(s)
- Henry Robb
- Imperial College Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | | | - Piers Boshier
- Imperial College Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | - Anna Przedlacka
- Imperial College Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | | | - Gina Brown
- Imperial College London, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | | | - Christos Kontovounisios
- Imperial College London, London, UK.
- The Royal Marsden NHS Foundation Trust, London, UK.
- Chelsea Westminster NHS Foundation Trust, London, UK.
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