Abstract
Background
To determine the use of four-dimensional CT as first-line imaging compared to the traditional combination of ultrasound and [99mTc]Tc-Sestamibi SPECT.
Materials and methods
Retrospective review of preoperative imaging in patients with primary hyperparathyroidism, who underwent parathyroidectomy between 2012 and 2021. In one group, the combination ultrasound and [99mTc]Tc-Sestamibi SPECT was used as first-line imaging (n = 54), in the other group four-dimensional CT was the first-line imaging modality (n = 51). Sensitivity and positive predictive value were calculated on patient, lateralisation and localisation level. The need for additional imaging was also assessed for both groups.
Results
Four-dimensional CT had a significantly higher sensitivity compared to the combination of ultrasound/[99mTc]Tc-Sestamibi SPECT on patient and localisation level (70.6% vs. 51.9%, p = 0.049 and 60.8% vs. 35.2%, p = 0.009 respectively). Sensitivity for lateralisation also appeared higher, but did not reach significance (62.7% vs. 44.4%, p = 0.060). Positive predictive value was not significantly higher for four-dimensional CT compared to ultrasound and [99mTc]Tc-Sestamibi SPECT (88.9% vs. 85.7% for lateralisation and 86.1% vs. 67.9% for localisation respectively). Additional imaging was required in 14 patients with four-dimensional CT as first-line imaging (27.4%) consisting of 2 ultrasound/[99mTc]Tc-Sestamibi SPECT and 13 [18F]fluorocholine PET/CT, compared to 24 patients with ultrasound/[99mTc]Tc-Sestamibi SPECT as first-line imaging (44.4%), requiring 22 four-dimensional CT and 9 [18F]fluorocholine PET/CT.
Conclusions
Four-dimensional CT as the sole first-line parathyroid imaging modality had higher sensitivity than the combination of ultrasound and [99mTc]Tc-Sestamibi SPECT, therefore requiring fewer additional procedures. Although the most costly, [18F]fluorocholine PET/CT was the most effective technique to localise parathyroid adenoma in case all other imaging was negative.
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Details
; Joosten, Frank B.M. 2 ; de Boer, Hans 3 ; Bernsen, Marie Louise E. 2 ; Slump, Cornelis H. 4 ; Oyen, Wim J.G. 5 1 Rijnstate Hospital, Department of Radiology & Nuclear Medicine, Arnhem, The Netherlands (GRID:grid.415930.a); University of Twente, Department of Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Sciences, Enschede, The Netherlands (GRID:grid.6214.1) (ISNI:0000 0004 0399 8953)
2 Rijnstate Hospital, Department of Radiology & Nuclear Medicine, Arnhem, The Netherlands (GRID:grid.415930.a)
3 Rijnstate Hospital, Department of Internal Medicine, Arnhem, The Netherlands (GRID:grid.415930.a)
4 University of Twente, Department of Robotics and Mechatronics, Faculty of Electrical Engineering, Mathematics and Computer Sciences, Enschede, The Netherlands (GRID:grid.6214.1) (ISNI:0000 0004 0399 8953)
5 Rijnstate Hospital, Department of Radiology & Nuclear Medicine, Arnhem, The Netherlands (GRID:grid.415930.a); Humanitas University, Department of Biomedical Sciences and Humanitas Clinical and Research Centre, Department of Nuclear Medicine, Milan, Italy (GRID:grid.452490.e) (ISNI:0000 0004 4908 9368); Radboud University Medical Centre, Department of Radiology & Nuclear Medicine, Nijmegen, The Netherlands (GRID:grid.10417.33) (ISNI:0000 0004 0444 9382)




