TY  - JOUR
A1  - Werner, Rudolf A.
A1  - Marcus, Charles
A1  - Sheikhbahaei, Sara
A1  - Solnes, Lilja B.
A1  - Leal, Jeffrey P.
A1  - Du, Yong
A1  - Rowe, Steven P.
A1  - Higuchi, Takahiro
A1  - Buck, Andreas K.
A1  - Lapa, Constantin
A1  - Javadi, Mehrbod S.
T1  - Visual and Semiquantitative Accuracy in Clinical Baseline 123I-Ioflupane SPECT/CT Imaging
JF  - Clinical Nuclear Medicine
N2  - PURPOSE:
We aimed to (a) elucidate the concordance of visual assessment of an initial I-ioflupane scan by a human interpreter with comparison to results using a fully automatic semiquantitative method and (b) to assess the accuracy compared to follow-up (f/u) diagnosis established by movement disorder specialists.

METHODS:
An initial I-ioflupane scan was performed in 382 patients with clinically uncertain Parkinsonian syndrome. An experienced reader performed a visual evaluation of all scans independently. The findings of the visual read were compared with semiquantitative evaluation. In addition, available f/u clinical diagnosis (serving as a reference standard) was compared with results of the human read and the software.

RESULTS:
When comparing the semiquantitative method with the visual assessment, discordance could be found in 25 (6.5%) of 382 of the cases for the experienced reader (ĸ = 0.868). The human observer indicated region of interest misalignment as the main reason for discordance. With neurology f/u serving as reference, the results of the reader revealed a slightly higher accuracy rate (87.7%, ĸ = 0.75) compared to semiquantification (86.2%, ĸ = 0.719, P < 0.001, respectively). No significant difference in the diagnostic performance of the visual read versus software-based assessment was found.

CONCLUSIONS:
In comparison with a fully automatic semiquantitative method in I-ioflupane interpretation, human assessment obtained an almost perfect agreement rate. However, compared to clinical established diagnosis serving as a reference, visual read seemed to be slightly more accurate as a solely software-based quantitative assessment.
KW  - Single-Photon-Emissions-Computertomographie
KW  - SPECT
KW  - Parkinson’s disease
KW  - Parkinsonism
KW  - DaTscan
KW  - 123I-Ioflupane
KW  - SPECT
KW  - SPECT/CT
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-168181
SN  - 1536-0229
VL  - 44
IS  - 1
ER  - 
TY  - JOUR
A1  - Werner, Rudolf A.
A1  - Bundschuh, Ralph A.
A1  - Higuchi, Takahiro
A1  - Javadi, Mehrbod S.
A1  - Rowe, Steven P.
A1  - Zsótér, Norbert
A1  - Kroiss, Matthias
A1  - Fassnacht, Martin
A1  - Buck, Andreas K.
A1  - Kreissl, Michael C.
A1  - Lapa, Constantin
T1  - Volumetric and Texture Analysis of Pretherapeutic \(^{18}\)F-FDG PET can Predict Overall Survival in Medullary Thyroid Cancer Patients Treated with Vandetanib
JF  - Endocrine
N2  - Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET. 
Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated. 
Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.). 
Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.
KW  - personalized medicine
KW  - Positronen-Emissions-Tomografie
KW  - medullary thyroid carcinoma
KW  - tyrosine kinase inhibitor
KW  - TKI
KW  - vandetanib
KW  - 18F-FDG
KW  - positron emission tomography
KW  - 2-deoxy-2-(18F)fluoro-D-glucose
KW  - PET
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167910
SN  - 1355-008X
ER  -