64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors: Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients

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64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors : Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients. / Malmberg, Catarina; Ripa, Rasmus Sejersten; Johnbeck, Camilla Bardram; Knigge, Ulrich; Langer, Seppo W; Mortensen, Jann; Oturai, Peter Sandor; Loft, Annika; Hag, Anne Mette; Kjær, Andreas.

I: Journal of Nuclear Medicine, Bind 56, Nr. 12, 12.2015, s. 1895-900.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Malmberg, C, Ripa, RS, Johnbeck, CB, Knigge, U, Langer, SW, Mortensen, J, Oturai, PS, Loft, A, Hag, AM & Kjær, A 2015, '64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors: Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients', Journal of Nuclear Medicine, bind 56, nr. 12, s. 1895-900. https://doi.org/10.2967/jnumed.115.161216

APA

Malmberg, C., Ripa, R. S., Johnbeck, C. B., Knigge, U., Langer, S. W., Mortensen, J., Oturai, P. S., Loft, A., Hag, A. M., & Kjær, A. (2015). 64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors: Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients. Journal of Nuclear Medicine, 56(12), 1895-900. https://doi.org/10.2967/jnumed.115.161216

Vancouver

Malmberg C, Ripa RS, Johnbeck CB, Knigge U, Langer SW, Mortensen J o.a. 64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors: Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients. Journal of Nuclear Medicine. 2015 dec.;56(12):1895-900. https://doi.org/10.2967/jnumed.115.161216

Author

Malmberg, Catarina ; Ripa, Rasmus Sejersten ; Johnbeck, Camilla Bardram ; Knigge, Ulrich ; Langer, Seppo W ; Mortensen, Jann ; Oturai, Peter Sandor ; Loft, Annika ; Hag, Anne Mette ; Kjær, Andreas. / 64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors : Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients. I: Journal of Nuclear Medicine. 2015 ; Bind 56, Nr. 12. s. 1895-900.

Bibtex

@article{ce5bd3f953f74f47aebebd54de9511c6,
title = "64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors: Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients",
abstract = "UNLABELLED: The somatostatin receptor subtype 2 is expressed on macrophages, an abundant cell type in the atherosclerotic plaque. Visualization of somatostatin receptor subtype 2, for oncologic purposes, is frequently made using the DOTA-derived somatostatin analogs DOTATOC or DOTATATE for PET. We aimed to compare the uptake of the PET tracers (68)Ga-DOTATOC and (64)Cu-DOTATATE in large arteries, in the assessment of atherosclerosis by noninvasive imaging technique, combining PET and CT. Further, the correlation of uptake and cardiovascular risk factors was investigated.METHODS: Sixty consecutive patients with neuroendocrine tumors underwent both (68)Ga-DOTATOC and (64)Cu-DOTATATE PET/CT scans, in random order. For each scan, the maximum and mean standardized uptake values (SUVs) were calculated in 5 arterial segments. In addition, the blood-pool-corrected target-to-background ratio was calculated. Uptake of the tracers was correlated with cardiovascular risk factors collected from medical records.RESULTS: We found detectable uptake of both tracers in all arterial segments studied. Uptake of (64)Cu-DOTATATE was significantly higher than (68)Ga-DOTATOC in the vascular regions both when calculated as maximum and mean uptake. There was a significant association between Framingham risk score and the overall maximum uptake of (64)Cu-DOTATATE using SUV (r = 0.4; P = 0.004) as well as target-to-background ratio (r = 0.3; P = 0.04), whereas no association was found with (68)Ga-DOTATOC. The association of risk factors and maximum SUV of (64)Cu-DOTATATE was found driven by body mass index, smoking, diabetes, and coronary calcium score (P < 0.001, P = 0.01, P = 0.005, and P = 0.03, respectively).CONCLUSION: In a series of oncologic patients, vascular uptake of (68)Ga-DOTATOC and (64)Cu-DOTATATE was found, with highest uptake of the latter. Uptake of (64)Cu-DOTATATE, but not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role for (64)Cu-DOTATATE in the assessment of atherosclerosis.",
keywords = "Adult, Aged, Aged, 80 and over, Aorta, Arteries, Atherosclerosis, Body Mass Index, Calcium, Cardiovascular Diseases, Coronary Vessels, Diabetes Mellitus, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Neuroendocrine Tumors, Octreotide, Organometallic Compounds, Positron-Emission Tomography, Radiopharmaceuticals, Risk Factors, Smoking",
author = "Catarina Malmberg and Ripa, {Rasmus Sejersten} and Johnbeck, {Camilla Bardram} and Ulrich Knigge and Langer, {Seppo W} and Jann Mortensen and Oturai, {Peter Sandor} and Annika Loft and Hag, {Anne Mette} and Andreas Kj{\ae}r",
note = "{\textcopyright} 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.",
year = "2015",
month = dec,
doi = "10.2967/jnumed.115.161216",
language = "English",
volume = "56",
pages = "1895--900",
journal = "The Journal of Nuclear Medicine",
issn = "0161-5505",
publisher = "Society of Nuclear Medicine",
number = "12",

}

RIS

TY - JOUR

T1 - 64Cu-DOTATATE for Noninvasive Assessment of Atherosclerosis in Large Arteries and Its Correlation with Risk Factors

T2 - Head-to-Head Comparison with 68Ga-DOTATOC in 60 Patients

AU - Malmberg, Catarina

AU - Ripa, Rasmus Sejersten

AU - Johnbeck, Camilla Bardram

AU - Knigge, Ulrich

AU - Langer, Seppo W

AU - Mortensen, Jann

AU - Oturai, Peter Sandor

AU - Loft, Annika

AU - Hag, Anne Mette

AU - Kjær, Andreas

N1 - © 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

PY - 2015/12

Y1 - 2015/12

N2 - UNLABELLED: The somatostatin receptor subtype 2 is expressed on macrophages, an abundant cell type in the atherosclerotic plaque. Visualization of somatostatin receptor subtype 2, for oncologic purposes, is frequently made using the DOTA-derived somatostatin analogs DOTATOC or DOTATATE for PET. We aimed to compare the uptake of the PET tracers (68)Ga-DOTATOC and (64)Cu-DOTATATE in large arteries, in the assessment of atherosclerosis by noninvasive imaging technique, combining PET and CT. Further, the correlation of uptake and cardiovascular risk factors was investigated.METHODS: Sixty consecutive patients with neuroendocrine tumors underwent both (68)Ga-DOTATOC and (64)Cu-DOTATATE PET/CT scans, in random order. For each scan, the maximum and mean standardized uptake values (SUVs) were calculated in 5 arterial segments. In addition, the blood-pool-corrected target-to-background ratio was calculated. Uptake of the tracers was correlated with cardiovascular risk factors collected from medical records.RESULTS: We found detectable uptake of both tracers in all arterial segments studied. Uptake of (64)Cu-DOTATATE was significantly higher than (68)Ga-DOTATOC in the vascular regions both when calculated as maximum and mean uptake. There was a significant association between Framingham risk score and the overall maximum uptake of (64)Cu-DOTATATE using SUV (r = 0.4; P = 0.004) as well as target-to-background ratio (r = 0.3; P = 0.04), whereas no association was found with (68)Ga-DOTATOC. The association of risk factors and maximum SUV of (64)Cu-DOTATATE was found driven by body mass index, smoking, diabetes, and coronary calcium score (P < 0.001, P = 0.01, P = 0.005, and P = 0.03, respectively).CONCLUSION: In a series of oncologic patients, vascular uptake of (68)Ga-DOTATOC and (64)Cu-DOTATATE was found, with highest uptake of the latter. Uptake of (64)Cu-DOTATATE, but not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role for (64)Cu-DOTATATE in the assessment of atherosclerosis.

AB - UNLABELLED: The somatostatin receptor subtype 2 is expressed on macrophages, an abundant cell type in the atherosclerotic plaque. Visualization of somatostatin receptor subtype 2, for oncologic purposes, is frequently made using the DOTA-derived somatostatin analogs DOTATOC or DOTATATE for PET. We aimed to compare the uptake of the PET tracers (68)Ga-DOTATOC and (64)Cu-DOTATATE in large arteries, in the assessment of atherosclerosis by noninvasive imaging technique, combining PET and CT. Further, the correlation of uptake and cardiovascular risk factors was investigated.METHODS: Sixty consecutive patients with neuroendocrine tumors underwent both (68)Ga-DOTATOC and (64)Cu-DOTATATE PET/CT scans, in random order. For each scan, the maximum and mean standardized uptake values (SUVs) were calculated in 5 arterial segments. In addition, the blood-pool-corrected target-to-background ratio was calculated. Uptake of the tracers was correlated with cardiovascular risk factors collected from medical records.RESULTS: We found detectable uptake of both tracers in all arterial segments studied. Uptake of (64)Cu-DOTATATE was significantly higher than (68)Ga-DOTATOC in the vascular regions both when calculated as maximum and mean uptake. There was a significant association between Framingham risk score and the overall maximum uptake of (64)Cu-DOTATATE using SUV (r = 0.4; P = 0.004) as well as target-to-background ratio (r = 0.3; P = 0.04), whereas no association was found with (68)Ga-DOTATOC. The association of risk factors and maximum SUV of (64)Cu-DOTATATE was found driven by body mass index, smoking, diabetes, and coronary calcium score (P < 0.001, P = 0.01, P = 0.005, and P = 0.03, respectively).CONCLUSION: In a series of oncologic patients, vascular uptake of (68)Ga-DOTATOC and (64)Cu-DOTATATE was found, with highest uptake of the latter. Uptake of (64)Cu-DOTATATE, but not of (68)Ga-DOTATOC, was correlated with cardiovascular risk factors, suggesting a potential role for (64)Cu-DOTATATE in the assessment of atherosclerosis.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Aorta

KW - Arteries

KW - Atherosclerosis

KW - Body Mass Index

KW - Calcium

KW - Cardiovascular Diseases

KW - Coronary Vessels

KW - Diabetes Mellitus

KW - Female

KW - Humans

KW - Image Processing, Computer-Assisted

KW - Male

KW - Middle Aged

KW - Neuroendocrine Tumors

KW - Octreotide

KW - Organometallic Compounds

KW - Positron-Emission Tomography

KW - Radiopharmaceuticals

KW - Risk Factors

KW - Smoking

U2 - 10.2967/jnumed.115.161216

DO - 10.2967/jnumed.115.161216

M3 - Journal article

C2 - 26429961

VL - 56

SP - 1895

EP - 1900

JO - The Journal of Nuclear Medicine

JF - The Journal of Nuclear Medicine

SN - 0161-5505

IS - 12

ER -

ID: 162678587