Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions
Abdominal adhesions present a diagnostic challenge, and classic imaging modalities can miss their presence. Cine-MRI, which records visceral sliding during patient-controlled breathing, has proven useful in detecting and mapping adhesions. However, patient movements can affect the accuracy of these...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Journal of Imaging |
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| Online Access: | https://www.mdpi.com/2313-433X/9/5/92 |
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| author | Bastiaan A. W. van den Beukel Bram de Wilde Frank Joosten Harry van Goor Wulphert Venderink Henkjan J. Huisman Richard P. G. ten Broek |
| author_facet | Bastiaan A. W. van den Beukel Bram de Wilde Frank Joosten Harry van Goor Wulphert Venderink Henkjan J. Huisman Richard P. G. ten Broek |
| author_sort | Bastiaan A. W. van den Beukel |
| collection | DOAJ |
| description | Abdominal adhesions present a diagnostic challenge, and classic imaging modalities can miss their presence. Cine-MRI, which records visceral sliding during patient-controlled breathing, has proven useful in detecting and mapping adhesions. However, patient movements can affect the accuracy of these images, despite there being no standardized algorithm for defining sufficiently high-quality images. This study aims to develop a biomarker for patient movements and determine which patient-related factors influence movement during cine-MRI. Included patients underwent cine-MRI to detect adhesions for chronic abdominal complaints, data were collected from electronic patient files and radiologic reports. Ninety slices of cine-MRI were assessed for quality, using a five-point scale to quantify amplitude, frequency, and slope, from which an image-processing algorithm was developed. The biomarkers closely correlated with qualitative assessments, with an amplitude of 6.5 mm used to distinguish between sufficient and insufficient-quality slices. In multivariable analysis, the amplitude of movement was influenced by age, sex, length, and the presence of a stoma. Unfortunately, no factor was changeable. Strategies for mitigating their impact may be challenging. This study highlights the utility of the developed biomarker in evaluating image quality and providing useful feedback for clinicians. Future studies could improve diagnostic quality by implementing automated quality criteria during cine-MRI. |
| first_indexed | 2024-03-11T03:36:56Z |
| format | Article |
| id | doaj.art-e1ce864266c5413fb865bea311fd36a0 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-11T03:36:56Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-e1ce864266c5413fb865bea311fd36a02023-11-18T01:57:25ZengMDPI AGJournal of Imaging2313-433X2023-04-01959210.3390/jimaging9050092Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal AdhesionsBastiaan A. W. van den Beukel0Bram de Wilde1Frank Joosten2Harry van Goor3Wulphert Venderink4Henkjan J. Huisman5Richard P. G. ten Broek6Department of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsDepartment of Radiology and Nuclear Medicine, Hospital Rijnstate Arnhem, 6815 AD Arnhem, The NetherlandsDepartment of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsDepartment of Radiology and Nuclear Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsDepartment of Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The NetherlandsAbdominal adhesions present a diagnostic challenge, and classic imaging modalities can miss their presence. Cine-MRI, which records visceral sliding during patient-controlled breathing, has proven useful in detecting and mapping adhesions. However, patient movements can affect the accuracy of these images, despite there being no standardized algorithm for defining sufficiently high-quality images. This study aims to develop a biomarker for patient movements and determine which patient-related factors influence movement during cine-MRI. Included patients underwent cine-MRI to detect adhesions for chronic abdominal complaints, data were collected from electronic patient files and radiologic reports. Ninety slices of cine-MRI were assessed for quality, using a five-point scale to quantify amplitude, frequency, and slope, from which an image-processing algorithm was developed. The biomarkers closely correlated with qualitative assessments, with an amplitude of 6.5 mm used to distinguish between sufficient and insufficient-quality slices. In multivariable analysis, the amplitude of movement was influenced by age, sex, length, and the presence of a stoma. Unfortunately, no factor was changeable. Strategies for mitigating their impact may be challenging. This study highlights the utility of the developed biomarker in evaluating image quality and providing useful feedback for clinicians. Future studies could improve diagnostic quality by implementing automated quality criteria during cine-MRI.https://www.mdpi.com/2313-433X/9/5/92adhesionscine-MRIdiagnostic qualitybiomarkeralgorithm |
| spellingShingle | Bastiaan A. W. van den Beukel Bram de Wilde Frank Joosten Harry van Goor Wulphert Venderink Henkjan J. Huisman Richard P. G. ten Broek Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions Journal of Imaging adhesions cine-MRI diagnostic quality biomarker algorithm |
| title | Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions |
| title_full | Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions |
| title_fullStr | Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions |
| title_full_unstemmed | Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions |
| title_short | Quantifiable Measures of Abdominal Wall Motion for Quality Assessment of Cine-MRI Slices in Detection of Abdominal Adhesions |
| title_sort | quantifiable measures of abdominal wall motion for quality assessment of cine mri slices in detection of abdominal adhesions |
| topic | adhesions cine-MRI diagnostic quality biomarker algorithm |
| url | https://www.mdpi.com/2313-433X/9/5/92 |
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