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Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas
OBJECTIVES: To examine the effect of high-b-value computed diffusion-weighted imaging (cDWI) on solid lesion detection and classification in pancreatic intraductal papillary mucinous neoplasm (IPMN), using endoscopic ultrasound (EUS) and histopathology as a standard of reference. METHODS: Eighty-two...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511579/ https://www.ncbi.nlm.nih.gov/pubmed/37133518 http://dx.doi.org/10.1007/s00330-023-09661-6 |
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author | Harder, Felix N. Jung, Eva Weiss, Kilian Graf, Markus M. Kamal, Omar McTavish, Sean Van, Anh T. Demir, Ihsan E. Friess, Helmut Phillip, Veit Schmid, Roland M. Lohöfer, Fabian K. Kaissis, Georgios A. Makowski, Marcus R. Karampinos, Dimitrios C. Braren, Rickmer F. |
author_facet | Harder, Felix N. Jung, Eva Weiss, Kilian Graf, Markus M. Kamal, Omar McTavish, Sean Van, Anh T. Demir, Ihsan E. Friess, Helmut Phillip, Veit Schmid, Roland M. Lohöfer, Fabian K. Kaissis, Georgios A. Makowski, Marcus R. Karampinos, Dimitrios C. Braren, Rickmer F. |
author_sort | Harder, Felix N. |
collection | PubMed |
description | OBJECTIVES: To examine the effect of high-b-value computed diffusion-weighted imaging (cDWI) on solid lesion detection and classification in pancreatic intraductal papillary mucinous neoplasm (IPMN), using endoscopic ultrasound (EUS) and histopathology as a standard of reference. METHODS: Eighty-two patients with known or suspected IPMN were retrospectively enrolled. Computed high-b-value images at b = 1000 s/mm(2) were calculated from standard (b = 0, 50, 300, and 600 s/mm(2)) DWI images for conventional full field-of-view (fFOV, 3 × 3 × 4 mm(3) voxel size) DWI. A subset of 39 patients received additional high-resolution reduced-field-of-view (rFOV, 2.5 × 2.5 × 3 mm(3) voxel size) DWI. In this cohort, rFOV cDWI was compared against fFOV cDWI additionally. Two experienced radiologists evaluated (Likert scale 1–4) image quality (overall image quality, lesion detection and delineation, fluid suppression within the lesion). In addition, quantitative image parameters (apparent signal-to-noise ratio (aSNR), apparent contrast-to-noise ratio (aCNR), contrast ratio (CR)) were assessed. Diagnostic confidence regarding the presence/absence of diffusion-restricted solid nodules was assessed in an additional reader study. RESULTS: High-b-value cDWI at b = 1000 s/mm(2) outperformed acquired DWI at b = 600 s/mm(2) regarding lesion detection, fluid suppression, aCNR, CR, and lesion classification (p = < .001–.002). Comparing cDWI from fFOV and rFOV revealed higher image quality in high-resolution rFOV-DWI compared to conventional fFOV-DWI (p ≤ .001–.018). High-b-value cDWI images were rated non-inferior to directly acquired high-b-value DWI images (p = .095–.655). CONCLUSIONS: High-b-value cDWI may improve the detection and classification of solid lesions in IPMN. Combining high-resolution imaging and high-b-value cDWI may further increase diagnostic precision. CLINICAL RELEVANCE STATEMENT: This study shows the potential of computed high-resolution high-sensitivity diffusion-weighted magnetic resonance imaging for solid lesion detection in pancreatic intraductal papillary mucinous neoplasia (IPMN). The technique may enable early cancer detection in patients under surveillance. KEY POINTS: • Computed high-b-value diffusion-weighted imaging (cDWI) may improve the detection and classification of intraductal papillary mucinous neoplasms (IPMN) of the pancreas. • cDWI calculated from high-resolution imaging increases diagnostic precision compared to cDWI calculated from conventional-resolution imaging. • cDWI has the potential to strengthen the role of MRI for screening and surveillance of IPMN, particularly in view of the rising incidence of IPMNs combined with now more conservative therapeutic approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09661-6. |
format | Online Article Text |
id | pubmed-10511579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105115792023-09-22 Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas Harder, Felix N. Jung, Eva Weiss, Kilian Graf, Markus M. Kamal, Omar McTavish, Sean Van, Anh T. Demir, Ihsan E. Friess, Helmut Phillip, Veit Schmid, Roland M. Lohöfer, Fabian K. Kaissis, Georgios A. Makowski, Marcus R. Karampinos, Dimitrios C. Braren, Rickmer F. Eur Radiol Hepatobiliary-Pancreas OBJECTIVES: To examine the effect of high-b-value computed diffusion-weighted imaging (cDWI) on solid lesion detection and classification in pancreatic intraductal papillary mucinous neoplasm (IPMN), using endoscopic ultrasound (EUS) and histopathology as a standard of reference. METHODS: Eighty-two patients with known or suspected IPMN were retrospectively enrolled. Computed high-b-value images at b = 1000 s/mm(2) were calculated from standard (b = 0, 50, 300, and 600 s/mm(2)) DWI images for conventional full field-of-view (fFOV, 3 × 3 × 4 mm(3) voxel size) DWI. A subset of 39 patients received additional high-resolution reduced-field-of-view (rFOV, 2.5 × 2.5 × 3 mm(3) voxel size) DWI. In this cohort, rFOV cDWI was compared against fFOV cDWI additionally. Two experienced radiologists evaluated (Likert scale 1–4) image quality (overall image quality, lesion detection and delineation, fluid suppression within the lesion). In addition, quantitative image parameters (apparent signal-to-noise ratio (aSNR), apparent contrast-to-noise ratio (aCNR), contrast ratio (CR)) were assessed. Diagnostic confidence regarding the presence/absence of diffusion-restricted solid nodules was assessed in an additional reader study. RESULTS: High-b-value cDWI at b = 1000 s/mm(2) outperformed acquired DWI at b = 600 s/mm(2) regarding lesion detection, fluid suppression, aCNR, CR, and lesion classification (p = < .001–.002). Comparing cDWI from fFOV and rFOV revealed higher image quality in high-resolution rFOV-DWI compared to conventional fFOV-DWI (p ≤ .001–.018). High-b-value cDWI images were rated non-inferior to directly acquired high-b-value DWI images (p = .095–.655). CONCLUSIONS: High-b-value cDWI may improve the detection and classification of solid lesions in IPMN. Combining high-resolution imaging and high-b-value cDWI may further increase diagnostic precision. CLINICAL RELEVANCE STATEMENT: This study shows the potential of computed high-resolution high-sensitivity diffusion-weighted magnetic resonance imaging for solid lesion detection in pancreatic intraductal papillary mucinous neoplasia (IPMN). The technique may enable early cancer detection in patients under surveillance. KEY POINTS: • Computed high-b-value diffusion-weighted imaging (cDWI) may improve the detection and classification of intraductal papillary mucinous neoplasms (IPMN) of the pancreas. • cDWI calculated from high-resolution imaging increases diagnostic precision compared to cDWI calculated from conventional-resolution imaging. • cDWI has the potential to strengthen the role of MRI for screening and surveillance of IPMN, particularly in view of the rising incidence of IPMNs combined with now more conservative therapeutic approaches. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09661-6. Springer Berlin Heidelberg 2023-05-03 2023 /pmc/articles/PMC10511579/ /pubmed/37133518 http://dx.doi.org/10.1007/s00330-023-09661-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Hepatobiliary-Pancreas Harder, Felix N. Jung, Eva Weiss, Kilian Graf, Markus M. Kamal, Omar McTavish, Sean Van, Anh T. Demir, Ihsan E. Friess, Helmut Phillip, Veit Schmid, Roland M. Lohöfer, Fabian K. Kaissis, Georgios A. Makowski, Marcus R. Karampinos, Dimitrios C. Braren, Rickmer F. Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title | Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title_full | Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title_fullStr | Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title_full_unstemmed | Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title_short | Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas |
title_sort | computed high-b-value high-resolution dwi improves solid lesion detection in ipmn of the pancreas |
topic | Hepatobiliary-Pancreas |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511579/ https://www.ncbi.nlm.nih.gov/pubmed/37133518 http://dx.doi.org/10.1007/s00330-023-09661-6 |
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