CT- and MR-based image-based data mining are consistent in the brain.

Autor: Wilson LJ; St Jude Children's Research Hospital, Department of Radiation Oncology, Memphis, TN, USA., Davey A; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK. Electronic address: angela.davey@manchester.ac.uk., Vasquez Osorio E; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK., Faught AM; St Jude Children's Research Hospital, Department of Radiation Oncology, Memphis, TN, USA., Green A; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK., Bulbeck H; Brainstrust - The Brain Cancer People, Cowes, UK., Thomson A; Brainstrust - The Brain Cancer People, Cowes, UK., Goddard J; Brainstrust - The Brain Cancer People, Cowes, UK., McCabe MG; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK; The Christie NHS Foundation Trust, Manchester, UK., Merchant TE; St Jude Children's Research Hospital, Department of Radiation Oncology, Memphis, TN, USA., van Herk M; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK., Aznar MC; Division of Cancer Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.
Jazyk: angličtina
Zdroj: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2024 Sep; Vol. 125, pp. 104503. Date of Electronic Publication: 2024 Aug 27.
DOI: 10.1016/j.ejmp.2024.104503
Abstrakt: Purpose: Image-based data mining (IBDM) is a voxel-based analysis technique to investigate dose-response. Most often, IBDM uses radiotherapy planning CTs because of their broad accessibility, however, it was unknown whether CT provided sufficient soft tissue contrast for brain IBDM. This study evaluates whether MR-based IBDM improves upon CT-based IBDM for studies of children with brain tumours.
Methods: We compared IBDM pipelines using either CT- or MRI-based spatial normalisation in 128 children (ages 3.3-19.7 years) who received photon radiotherapy for primary brain tumours at a single institution. We quantified spatial-normalisation accuracy using contour comparison measures (centre-of-mass separation, average contour distance-to-agreement (DT avg ), and Hausdorff distance) at multiple anatomic loci. We performed an end-to-end test of CT- and MRI-IBDM using modified clinical dose distributions and simulated effect labels to detect associations in pre-defined anatomic loci. Accuracy was assessed via sensitivity and specificity.
Results: Spatial normalisation accuracy was comparable for both modalities, with a significant but small improvement for MRI compared to CT in all structures except the brainstem. The median (range) difference between the DT avg for the two pipelines was 0.37 (0.00-2.91) mm. The end-to-end test revealed no significant difference in sensitivity of the IBDM-identified regions for the two pipelines. Specificity slightly improved for MR-IBDM at the 99% significance level.
Conclusion: CT-based IBDM was comparable to MR-based IBDM, despite a small advantage in spatial normalisation accuracy with MRI. The use of CT-IBDM over MR-IBDM is useful for multi-institutional retrospective IBDM studies, where the availability of standardised MRI data can be limited.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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