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  • Ljungberg, Michael, et al. (författare)
  • Introduction to the Monte Carlo Method
  • 2012
  • Ingår i: Monte Carlo Calculation in Nuclear Medicine: Applications in Diagnostic Imaging - second edition. - : Taylor & Francis. ; , s. 1-16
  • Bokkapitel (refereegranskat)
  • Ljungberg, Michael, et al. (författare)
  • The SIMIND Monte Carlo program
  • 2012
  • Ingår i: Monte Carlo Calculation in Nuclear Medicine: Applications in Diagnostic Imaging - second edition. - : Taylor & Francis. ; , s. 111-128
  • Bokkapitel (refereegranskat)
  • Ljungberg, Michael, et al. (författare)
  • Introduction to the Monte Carlo Method
  • 1998
  • Ingår i: Monte Carlo Calculations in Nuclear Medicine: Applications in Diagnostic Imaging. - : IOP Publishing. - 750304790 ; , s. 37-37
  • Bokkapitel (övrigt vetenskapligt)
  • Wang, Zhaoming, et al. (författare)
  • Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33
  • 2014
  • Ingår i: Human Molecular Genetics. - 0964-6906 .- 1460-2083. ; 23:24, s. 6616-6633
  • Tidskriftsartikel (refereegranskat)abstract
    • Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10(-39); Region 3: rs2853677, P = 3.30 × 10(-36) and PConditional = 2.36 × 10(-8); Region 4: rs2736098, P = 3.87 × 10(-12) and PConditional = 5.19 × 10(-6), Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10(-6); and Region 6: rs10069690, P = 7.49 × 10(-15) and PConditional = 5.35 × 10(-7)) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10(-18) and PConditional = 7.06 × 10(-16)). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci.
  • Garkavij, Michael, et al. (författare)
  • Lu-177-[DOTA0,Tyr3] Octreotate Therapy in Patients With Disseminated Neuroendocrine Tumors: Analysis of Dosimetry With Impact on Future Therapeutic Strategy
  • 2010
  • Ingår i: Cancer. - : John Wiley & Sons Inc.. - 1097-0142. ; 116:4, s. 1084-1092
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Lu-177-(DOTAO,Tyr3) octreotate is a new treatment modality for disseminated neuroendocrine tumors. According to a consensus protocol, the calculated maximally tolerated absorbed dose to the kidney should not exceed 27 Gy. In commonly used dosimetry methods, planar imaging is used for determination of the residence time, whereas the kidney mass is determined from a computed tomography (CT) scan. METHODS: Three different quantification methods were used to evaluate the absorbed dose to the kidneys. The first method involved common planar activity imaging, and the absorbed dose was calculated using the medical internal radiation dose (MIRD) formalism, using CT scan-based kidney masses. For this method, 2 region of interest locations for the background correction were investigated. The second method also included single-photon emission computed tomography (SPECT) data, which were used to scale the amplitude of the time-activity curve obtained from planar images. The absorbed dose was calculated as in the planar method. The third method used quantitative SPECT images converted to absorbed dose rate images, where the median absorbed dose rate in the kidneys was calculated in a volume of interest defined over the renal cortex. RESULTS: For some patients, the results showed a large difference in calculated kidney-absorbed doses, depending on the dosimetry method. The 2 SPECT-based methods generally gave consistent values, although the calculations were based on different assumptions. Dosimetry using the baseline planar method gave higher absorbed doses in all patients. The values obtained from planar imaging with a background region of interest placed adjacent to the kidneys were more consistent with dosimetry also including SPECT. For the accumulated tumor absorbed dose, the first 2 of the 4 planned therapy cycles made the major contribution. CONCLUSIONS: The results suggested that patients evaluated according to the conventional planar-based dosimetry method may have been undertreated compared with the other methods. Hematology and creatinine did not indicate any restriction for a more aggressive approach, which would be especially useful in patients with more aggressive tumors where there is not time for more protracted therapy. Cancer 2010;116(4 suppl):1084-92. (C) 2010 American Cancer Society.
  • Hademenos, George J, et al. (författare)
  • A Monte Carlo Investigation of the Dual Photopeak Window Scatter Correction Method
  • 1993
  • Ingår i: IEEE Transactions on Nuclear Science. - : IEEE - Institute of Electrical and Electronics Engineers Inc.. - 0018-9499. ; 40:2, s. 179-185
  • Tidskriftsartikel (refereegranskat)abstract
    • Results from a Monte Carlo investigation of the dual photopeak window (DPW) scatter correction method are presented for point and extended sources of Tc-99m in both homogeneous and nonhomogeneous attenuating media. The DPW method uses the ratio of counts in two nonoverlapping energy windows within the photopeak region as input to a regression relation. A pixel-by-pixel estimate of the scatter in the summed windows is obtained and subtracted to yield an estimate of the primary. An approximate tenfold decrease in the scatter fraction and an excellent agreement with the shape of the true scatter distribution were observed.
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