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Personalized radiation dosimetry for PRRT : how many scans are really required?

Freedman, Nanette (författare)
Tel Aviv Sourasky Med Ctr, Inst Nucl Med, 6 Weizman St, IL-64239 Tel Aviv, Israel
Sandström, Mattias (författare)
Uppsala universitet,Radiologi
Kuten, Jonathan (författare)
Tel Aviv Sourasky Med Ctr, Inst Nucl Med, 6 Weizman St, IL-64239 Tel Aviv, Israel
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Shtraus, Natan (författare)
Tel Aviv Sourasky Med Ctr, Inst Radiotherapy, Tel Aviv, Israel
Ospovat, Inna (författare)
Tel Aviv Sourasky Med Ctr, Inst Radiotherapy, Tel Aviv, Israel
Schlocker, Albert (författare)
Tel Aviv Sourasky Med Ctr, Inst Radiotherapy, Tel Aviv, Israel
Even-Sapir, Einat (författare)
Tel Aviv Sourasky Med Ctr, Inst Nucl Med, 6 Weizman St, IL-64239 Tel Aviv, Israel; Tel Aviv Univ, Sackler Sch Med, Tel Aviv, Israel
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 (creator_code:org_t)
2020-05-11
2020
Engelska.
Ingår i: EJNMMI Physics. - : Springer Science and Business Media LLC. - 2197-7364. ; 7:1
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • PurposeOver recent years, peptide receptor radiotherapy (PRRT) has been recognized as an effective treatment for patients with metastatic neuroendocrine tumors (NETs). Personalized dosimetry can contribute to improve the outcome of peptide receptor radiotherapy (PRRT) in patients with metastatic NETs. Dosimetry can aid treatment planning, ensuring that absorbed dose to vulnerable normal organs (kidneys and bone marrow) does not exceed safe limits over serial treatments, and that absorbed dose to tumor is sufficient. Absorbed dose is estimated from a series of post-treatment SPECT/CT images. Total self-dose is proportional to the integral under the time activity concentration curve (TACC). Method dependence of image-based absorbed dose calculations has been previously investigated, and we set out here to extend previous work by examining implications of number of data points in the TACC and the numerical integration methods used in estimating absorbed dose.MethodsIn this retrospective study, absorbed dose estimates and effective half-lives were calculated by fitting curves to TACCs for normal organs and tumors in 30 consecutive patients who underwent a series of 4 post-treatment SPECT/CT scans at 4 h, 24 h, 4–5 days, and 1 week following 177Lu-DOTATATE PRRT. We examined the effects of including only 2 or 3 rather than all 4 data points in the TACC, and the effect of numerical integration method (mono-exponential alone or in combination with trapezoidal rule) on the absorbed dose and half-life estimates. Our current method is the combination of trapezoidal rule over the first 24 h, with mono-exponential fit thereafter extrapolated to infinity. The other methods were compared to this current method.ResultsDifferences in absorbed dose and effective half-life between the current method and estimates based only on the second, third, and fourth scans were very small (mean differences < 2.5%), whereas differences between the current method and 4-point mono-exponential fit were higher (mean differences < 5%) with a larger range. It appears that in a 4-point mono-exponential fit the early (4 h) time point may skew results, causing some large errors. Differences between the current method and values based on only 2 time points were relatively small (mean differences < 3.5%) when the 24 h and 1 week scans were used, but when the 24 h and 4–5 days scans, or the 4–5 days and 1 week scans were used, differences were greater.ConclusionThis study indicates that for 177Lu-DOTATATE PRRT, accurate estimates of absorbed dose for organs and tumors may be estimated from scans at 24 h, 72 h, and 1 week post-treatment without an earlier scan. It may even be possible to cut out the 72 h scan, though the uncertainty increases. However, further work on more patients is required to validate this.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Nyckelord

Method dependence
Dosimetry
177Lu-DOTATATE
Neuroendocrine tumors

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