Recommended nuclear data for medical radioisotope production: diagnostic positron emitters

F. Tárkányi, A. V. Ignatyuk, A. Hermanne, R. Capote, B. V. Carlson, J. W. Engle, M. A. Kellett, T. Kibédi, G. N. Kim, F. G. Kondev, M. Hussain, O. Lebeda, A. Luca, Y. Nagai, H. Naik, A. L. Nichols, F. M. Nortier, S. V. Suryanarayana, S. Takács, M. Verpelli

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

An IAEA coordinated research project that began in 2012 and ended in 2016 was primarily dedicated to the compilation, evaluation and recommendation of cross-section data for the production of medical radionuclides. One significant part of this work focused on diagnostic positron emitters. These particular studies consist of 69 reactions for direct and indirect or generator production of 44Sc(44Ti), 52mMn(52Fe), 52gMn, 55Co, 61Cu, 62Cu(62Zn), 66Ga, 68Ga(68Ge), 72As(72Se), 73Se, 76Br, 82Rb(82Sr), 82mRb, 86Y, 89Zr, 90Nb, 94mTc, 110mIn(110Sn), 118Sb(118Te), 120I, 122I(122Xe), 128Cs(128Ba), and 140Pr(140Nd) medical radionuclides. The resulting reference cross-section data were obtained from Padé fits to selected and corrected experimental data, and integral thick target yields were subsequently deduced. Uncertainties in the fitted results were estimated via a Padé least-squares method with the addition of a 4% assessed systematic uncertainty. Experimental data were also compared with theoretical predictions available from the TENDL-2015 and TENDL-2017 libraries. All of the numerical reference cross-section data with their corresponding uncertainties and deduced integral thick target yields are available on-line at the IAEA-NDS medical portal www-nds.iaea.org/medicalportal and also at the IAEA-NDS web page www-nds.iaea.org/medical/positron_emitters.html.

Original languageEnglish
JournalJournal of Radioanalytical and Nuclear Chemistry
DOIs
Publication statusAccepted/In press - Jan 1 2019

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Positrons
Radioisotopes
Uncertainty
Electrons
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diazonaphthalenedisulfonic acid

Keywords

  • Bayesian inference
  • Cross-section evaluation
  • Diagnostic medical isotopes
  • IAEA coordinated research project
  • Padé fit
  • Positron emitters
  • Recommended σ and yield data
  • Uncertainty estimation

ASJC Scopus subject areas

  • Analytical Chemistry
  • Nuclear Energy and Engineering
  • Radiology Nuclear Medicine and imaging
  • Pollution
  • Spectroscopy
  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

Recommended nuclear data for medical radioisotope production : diagnostic positron emitters. / Tárkányi, F.; Ignatyuk, A. V.; Hermanne, A.; Capote, R.; Carlson, B. V.; Engle, J. W.; Kellett, M. A.; Kibédi, T.; Kim, G. N.; Kondev, F. G.; Hussain, M.; Lebeda, O.; Luca, A.; Nagai, Y.; Naik, H.; Nichols, A. L.; Nortier, F. M.; Suryanarayana, S. V.; Takács, S.; Verpelli, M.

In: Journal of Radioanalytical and Nuclear Chemistry, 01.01.2019.

Research output: Contribution to journalArticle

Tárkányi, F, Ignatyuk, AV, Hermanne, A, Capote, R, Carlson, BV, Engle, JW, Kellett, MA, Kibédi, T, Kim, GN, Kondev, FG, Hussain, M, Lebeda, O, Luca, A, Nagai, Y, Naik, H, Nichols, AL, Nortier, FM, Suryanarayana, SV, Takács, S & Verpelli, M 2019, 'Recommended nuclear data for medical radioisotope production: diagnostic positron emitters', Journal of Radioanalytical and Nuclear Chemistry. https://doi.org/10.1007/s10967-018-6380-5
Tárkányi, F. ; Ignatyuk, A. V. ; Hermanne, A. ; Capote, R. ; Carlson, B. V. ; Engle, J. W. ; Kellett, M. A. ; Kibédi, T. ; Kim, G. N. ; Kondev, F. G. ; Hussain, M. ; Lebeda, O. ; Luca, A. ; Nagai, Y. ; Naik, H. ; Nichols, A. L. ; Nortier, F. M. ; Suryanarayana, S. V. ; Takács, S. ; Verpelli, M. / Recommended nuclear data for medical radioisotope production : diagnostic positron emitters. In: Journal of Radioanalytical and Nuclear Chemistry. 2019.
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AU - Carlson, B. V.

AU - Engle, J. W.

AU - Kellett, M. A.

AU - Kibédi, T.

AU - Kim, G. N.

AU - Kondev, F. G.

AU - Hussain, M.

AU - Lebeda, O.

AU - Luca, A.

AU - Nagai, Y.

AU - Naik, H.

AU - Nichols, A. L.

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