Adusumilli, P orcid.org/0000-0002-1567-9795, Nejadhamzeeigilani, H, Pitts, K et al. (5 more authors) (2020) Protocol-driven multidetector SPECT/CT: integration of hybrid imaging into the routine workflow of whole-body bone scintigraphy in oncology patients. Clinical Radiology, 75 (1). 79.e1-79.e7. ISSN 0009-9260
Abstract
AIM
To analyse the additional clinical value of protocol-driven and selective use of multidetector single-photon-emission tomography/computed tomography (SPECT/CT) in oncology patients undergoing whole-body bone scintigraphy (BS) and to analyse reporter confidence in diagnosis with and without SPECT/CT.
MATERIALS AND METHODS
During a 2-year period, 2,954 whole-body BS examinations were performed in oncology patients, with 444 (15%) undergoing additional protocol-driven SPECT/CT. Retrospective evaluation of planar BS and SPECT/CT images was performed by two experienced dual-trained nuclear medicine radiologists. The BS and SPECT/CT images were graded blindly using a five-point scale designed to evaluate the likelihood of a lesion being benign or malignant. Interpretation was applied on a per-patient basis.
RESULTS
There was a 74.5% increase in definitive diagnostic classification and a 26.6% reduction in equivocal findings with SPECT/CT when compared to BS alone (p<0001). Of cases initially classified as “probably benign” on BS, 5.1% (10/193) were reclassified to “probably malignant” (1%) or “malignant” (4.1%) using the SPECT/CT data. The highest impact in reporter confidence was seen with SPECT/CT in the interpretation of lesions within the pelvis (34%), ribs (23%), lumbar spine (22%), and thoracic spine (21%).
CONCLUSION
Protocol-driven, selective use of SPECT/CT imaging to augment planar BS reduces equivocal findings and improves reporter confidence whilst minimising the impact on patient and reporting workflows.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Biomed & Clin Sciences (LIBACS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Mar 2023 08:54 |
Last Modified: | 31 Mar 2023 08:54 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.crad.2019.09.128 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:197884 |