The DOI matches its Crossref record.
Qualitative and Quantitative Comparison of PET/CT and PET/MR Imaging in Clinical Practice
Open accessAbstract
UNLABELLED: The aim of this study was to prospectively compare whole-body PET/MR imaging and PET/CT, qualitatively and quantitatively, in oncologic patients and assess the confidence and degree of inter- and intraobserver agreement in anatomic lesion localization. METHODS: Fifty patients referred for staging with known cancers underwent PET/CT with low-dose CT for attenuation correction immediately followed by PET/MR imaging with 2-point Dixon attenuation correction. PET/CT scans were obtained according to standard protocols (56 ± 20 min after injection of an average 367 MBq of (18)F-FDG, 150 MBq of (68)Ga-DOTATATE, or 333.8 MBq of (18)F-fluoro-ethyl-choline; 2.5 min/bed position). PET/MR was performed with 5 min/bed position. Three dual-accredited nuclear medicine physicians/radiologists identified the lesions and assigned each to an exact anatomic location. The image quality, alignment, and confidence in anatomic localization of lesions were scored on a scale of 1-3 for PET/CT and PET/MR imaging. Quantitative analysis was performed by comparing the standardized uptake values. Intraclass correlation coefficients and the Wilcoxon signed-rank test were used to assess intra- and interobserver agreement in image quality, alignment, and confidence in lesion localization for the 2 modalities. RESULTS: Two hundred twenty-seven tracer-avid lesions were identified in 50 patients. Of these, 225 were correctly identified on PET/CT and 227 on PET/MR imaging by all 3 observers. The confidence in anatomic localization improved by 5.1% when using PET/MR imaging, compared with PET/CT. The mean percentage interobserver agreement was 96% for PET/CT and 99% for PET/MR imaging, and intraobserver agreement in lesion localization across the 2 modalities was 93%. There was 10% (5/50 patients) improvement in local staging with PET/MR imaging, compared with PET/CT. CONCLUSION: In this first study, we show the effectiveness of whole-body PET/MR imaging in oncology. There is no statistically significant difference between PET/MR imaging and PET/CT in respect of confidence and degree of inter- and intraobserver agreement in anatomic lesion localization. The PET data on both modalities were similar; however, the observed superior soft-tissue resolution of MR imaging in head and neck, pelvis, and colorectal cancers and of CT in lung and mediastinal nodal disease points to future tailored use in these locations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Systematically different normal organ SUVs have been reported for [18F]FDG, most likely resulting from MR-AC inaccuracies.
“However, systematically different normal organ SUVs have been reported for [18F]FDG as well, which most likely result from MR-AC inaccuracies [60,65,66].”
From Influences on PET Quantification and Interpretation (2022) · cites this paper as [66]
The SUV analysis reports 6%–18% lower SUVs in normal brain, mediastinum, liver, and soft tissue on PET/MR than on PET/CT. It attributes those differences to activity washout between scans, not primarily to MR-based attenuation-correction inaccuracies. The paper discusses attenuation-correction limitations elsewhere, but does not identify them as the likely cause of these normal-organ differences. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 25
- 10.1038/sj.bjc.6602464 · DOI
- Townsend, 1998, The SMART scanner: a combined PET/CT tomography for clinical oncology, Nucl Sci Symp, 1998., 2, 1170, 10.1109/NSSMIC.1998.774368 · DOI
- 10.2967/jnumed.108.045880 · DOI
- 10.1102/1470-7330.2007.0014 · DOI
- 10.1016/S1470-2045(00)00257-6 · DOI
- 10.2967/jnumed.108.051276 · DOI
- 10.1007/s00259-008-0951-6 · DOI
- 10.1001/jama.290.24.3199 · DOI
- 10.1016/j.ejca.2005.10.008 · DOI
- 10.1148/radiol.2472071054 · DOI
- 10.2214/AJR.11.6460 · DOI
- 10.2967/jnumed.108.057182 · DOI
- 10.1007/s00259-007-0493-3 · DOI · Paper page
- 10.2967/jnumed.108.054726 · DOI
- 10.1007/s00259-012-2113-0 · DOI · Paper page
- 10.2967/jnumed.109.069112 · DOI
- 10.1007/s10334-012-0353-4 · DOI
- 10.2967/jnumed.111.098608 · DOI
- Paquet, 2004, Within-patient variability of 18F-FDG: standardized uptake values in normal tissues, J Nucl Med., 45, 784
- 10.1007/s11307-010-0394-x · DOI
- Matthies, 2002, Dual time point 18F-FDG PET for the evaluation of pulmonary nodules, J Nucl Med., 43, 871
- 10.1007/s11307-008-0168-x · DOI
- 10.1016/j.ejrad.2009.04.059 · DOI
- 10.1002/nbm.1357 · DOI
- 10.1016/0090-3019(95)00139-5 · DOI
Cited by
Sorted by citations
Influences on PET Quantification and Interpretation
Rogasch, J. M. M., Hofheinz, F., van Heek, L., Voltin, C.-A., Boellaard, R., & Kobe, C. (2022) · Diagnostics · doi:10.3390/diagnostics12020451 · Cited by 57
“However, systematically different normal organ SUVs have been reported for [18F]FDG as well, which most likely result from MR-AC inaccuracies [60,65,66].”
Background
Metadata
- Authors
- Al-Nabhani, K. Z., Syed, R., Michopoulou, S., Alkalbani, J., Afaq, A., Panagiotidis, E., O’Meara, C., Groves, A., Ell, P., & Bomanji, J.
- Affiliations
- University College Hospital (GB)
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2013-12-12
- Volume
- 55
- Issue
- 1
- Pages
- 88-94
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- OpenAlex
- W2148384441
- Cited by
- 101
- References
- 0
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 7 · 2020: 5 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 19 · 2015: 22 · 2014: 14 · 2013: 1
- FWCI
- 14.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nuclear Medicine (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Cancer Research UK (16463)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- PET/MR, PET/CT, tumor staging, tumor localization, interobserver agreement, intraobserver agreement, standardized uptake value, 18F-FDG, 68Ga-DOTATATE, soft tissue resolution, image quality, head and neck cancer, pelvic cancer, prostate cancer
- MeSH terms
- Aged, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neoplasm Staging, Pilot Projects, Prospective Studies, Tomography, X-Ray Computed, Reproducibility of Results, Observer Variation, Radiopharmaceuticals, Fluorodeoxyglucose F18, Positron-Emission Tomography, Whole Body Imaging, Multimodal Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review