José Willegaignon1, Rogério Alexandre Pelissoni2, Beatriz Christine de Godoy Diniz Lima2, Marcelo Tatit Sapienza3, George Barberio Coura-Filho4, Marcelo Araújo Queiroz5, Carlos Alberto Buchpiguel6. 1. PhD, Chief Medical Physicist, Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP, Brazil. 2. Technologist, Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP, Brazil. 3. PhD, Assistant Professor, Radiology Department, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil. 4. MD, Nuclear Physician, Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP, Brazil. 5. MD, Radiologist Physician, Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP, Brazil. 6. PhD, Full Professor, Radiology Department, Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP, Brazil.
Abstract
OBJECTIVE: To compare the probe detection method with the image quantification method when estimating (131)I biokinetics and radiation doses to the red marrow and whole body in the treatment of thyroid cancer patients. MATERIALS AND METHODS: Fourteen patients with metastatic thyroid cancer, without metastatic bone involvement, were submitted to therapy planning in order to tailor the therapeutic amount of (131)I to each individual. Whole-body scans and probe measurements were performed at 4, 24, 48, 72, and 96 h after (131)I administration in order to estimate the effective half-life (Teff) and residence time of (131)I in the body. RESULTS: The mean values for Teff and residence time, respectively, were 19 ± 9 h and 28 ± 12 h for probe detection, compared with 20 ± 13 h and 29 ± 18 h for image quantification. The average dose to the red marrow and whole body, respectively, was 0.061 ± 0.041 mGy/MBq and 0.073 ± 0.040 mGy/MBq for probe detection, compared with 0.066 ± 0.055 mGy/MBq and 0.078 ± 0.056 mGy/MBq for image quantification. Statistical analysis proved that there were no significant differences between the two methods for estimating the Teff (p = 0.801), residence time (p = 0.801), dose to the red marrow (p = 0.708), and dose to the whole body (p = 0.811), even when we considered an optimized approach for calculating doses only at 4 h and 96 h after (131)I administration (p > 0.914). CONCLUSION: There is full agreement as to the feasibility of using probe detection and image quantification when estimating (131)I biokinetics and red-marrow/whole-body doses. However, because the probe detection method is inefficacious in identifying tumor sites and critical organs during radionuclide therapy and therefore liable to skew adjustment of the amount of (131)I to be administered to patients under such therapy, it should be used with caution.
OBJECTIVE: To compare the probe detection method with the image quantification method when estimating (131)I biokinetics and radiation doses to the red marrow and whole body in the treatment of thyroid cancerpatients. MATERIALS AND METHODS: Fourteen patients with metastatic thyroid cancer, without metastatic bone involvement, were submitted to therapy planning in order to tailor the therapeutic amount of (131)I to each individual. Whole-body scans and probe measurements were performed at 4, 24, 48, 72, and 96 h after (131)I administration in order to estimate the effective half-life (Teff) and residence time of (131)I in the body. RESULTS: The mean values for Teff and residence time, respectively, were 19 ± 9 h and 28 ± 12 h for probe detection, compared with 20 ± 13 h and 29 ± 18 h for image quantification. The average dose to the red marrow and whole body, respectively, was 0.061 ± 0.041 mGy/MBq and 0.073 ± 0.040 mGy/MBq for probe detection, compared with 0.066 ± 0.055 mGy/MBq and 0.078 ± 0.056 mGy/MBq for image quantification. Statistical analysis proved that there were no significant differences between the two methods for estimating the Teff (p = 0.801), residence time (p = 0.801), dose to the red marrow (p = 0.708), and dose to the whole body (p = 0.811), even when we considered an optimized approach for calculating doses only at 4 h and 96 h after (131)I administration (p > 0.914). CONCLUSION: There is full agreement as to the feasibility of using probe detection and image quantification when estimating (131)I biokinetics and red-marrow/whole-body doses. However, because the probe detection method is inefficacious in identifying tumor sites and critical organs during radionuclide therapy and therefore liable to skew adjustment of the amount of (131)I to be administered to patients under such therapy, it should be used with caution.
The management of patients with differentiated thyroid cancer involves radioiodine
therapy to ablate remnants of thyroid tissues after surgical resection of the gland
or in the treatment of metastases(. A large amount of 131I is generally administered to
patients during the treatment of metastatic diseases. Under these circumstances, it
would be more appropriate to tailor the amount according to individual needs and to
the radiotoxic effect on healthy organs, such as the red marrow, lungs, kidneys, and
salivary glands(.Several of the dosimetric methods used for adjusting the amount of 131I to
be administered in therapy are based on delivering a maximum radiation dose of 2-3
Gy to red-marrow tissues, while abiding by the rules for radioiodine-avid lung
metastases(. When determining the radiation
dose per unit of 131I activity (mGy/MBq) to be received by the red marrow
and whole body, sequential measurements of the circulating levels of 131I
are generally required. Typically, the circulating level of 131I is
either estimated through invasive procedures, such as the collection and analysis of
blood samples, or inferred from whole-body radiation measurements with a radiation
detection probe or by image quantification(.Considering the radiation detection probe and image quantification methods as two
different procedures, to be used as alternatives for determining radiometric data,
our aim here was to compare their performance when estimating 131I
biokinetics and radiation doses to the whole body and to the red marrow.
MATERIALS AND METHODS
Patient characteristics and radiometric data acquisition
Fourteen patients with metastatic differentiated thyroid cancer were submitted to
a dosimetric protocol in order to tailor the amount of 131I to be
administered in individual therapy. None of the patients showed evidence of
distant metastasis. The study was approved by the local research ethics
committee.Prior to 131I administration, patients underwent 4-6 weeks of thyroid
hormone withdrawal and were maintained on an iodine-poor diet, in order to raise
the endogenous thyroid-stimulating hormone level (to > 30 mIU/L) and
stimulate 131I uptake by thyroid tissue remnants and metastases. In
the present study, exogenous recombinant human thyroid-stimulating hormone was
not administered.The proportional whole-body 131I retention was calculated at 4, 24,
48, 72, and 96 h after 131I administration with a radiation detection
probe and a gamma camera. Patient data and measurement times were
documented.
Radiation detection probe measurements
An NaI radiation detector (identiFINDERTM Digital Spectrometer; Thermo
Fisher Scientific Inc., Erlangen, Germany), with a 35 mm × 51 mm crystal,
was used. The individuals were placed in a standing position 3.0 m from the
detector, as illustrated in Figure 1. Each
measurement was taken three times, for 3 min each time, in the same location (an
area with a low background radiation level) every day. The net radioactivity
(counts/min) was determined only for the anterior acquisition. Before each
patient measurement, the background radiation was measured (also for 3 min) in
the absence of the patient. Although partial shielding of the detector was
considered propitious, the shielding between the patient and the NaI crystal was
removed in order to reduce background radiation. The solid angle of the detector
was sufficient to receive photons from the entire body of the patient. The
duration of the measurement was sufficient to providing net counts >
105 at each measuring point, even when the background radiation
was subtracted.
Figure 1
Schematic arrangement for measuring radiometric data acquired with
the probe detection method.
Schematic arrangement for measuring radiometric data acquired with
the probe detection method.
Image acquisition
A dual-head gamma camera-for single-photon emission computed tomography/computed
tomography (SPECT/CT)-with a high-energy collimator was used in order to
estimate the 131I activity within the body, by whole-body image
quantification and as a function of time. Only planar nuclear medicine images
were used for quantification. As depicted in Figure 2, the activity was estimated on the basis of the radiation
counts for designated regions of interest (ROIs) around the whole body, minus
the background radiation, as follows:
Figure 2
Schematic arrangement for measuring radiometric data acquired with
the image quantification method
Schematic arrangement for measuring radiometric data acquired with
the image quantification methodwhere WBnet is the net whole-body count,
WBpixels is the total number of pixels for the whole-body
ROI in question, WBcts/pixel is the average count per pixel for
the whole-body ROI in question, and BKGcts/pixel is the average
count per pixel of background radiation.A copy of the ROIs (WB and BKG) from the first images was replaced in later
images. The same calculation method was applied to each of the five images
acquired from each patient. The SPECT/CT was provided with the software Syngo MI
Applications 2009A® (Siemens Medical Solutions USA, Inc.;
Malvern, PA, USA). Whole-body planar images were acquired in a 256 × 1024
matrix with a scan speed of 8 cm/min. All acquired images were analyzed using
the free software Image J, version 1.45s (Wayne Rasband, National Institutes of
Health; Bethesda, MD, USA).One patient was used as a standard source for evaluating the remaining whole-body
activity as a function of time after 131I administration, net
whole-body counts being normalized to the first data point (taken as 100%).
After 131I administration, the patients were allowed to void only
after the first probe measurement and image acquisition. When estimating
131I biokinetics and radiation doses, we considered only the
anterior view (for probe measurement and image acquisition), given that our
experience has shown that there is little difference between the data estimated
with this methodology and those estimated by considering conjugate views
(anterior and posterior acquisition). Based on whole-body scanning, the net
count rate from anterior acquisition only is, on average, approximately 5%
superior to that of conjugate acquisition, indicating that determining only the
anterior count rate is a practical and easy method for evaluating radioiodine
retention as a function of elapsed time after 131I
administration.
Red-marrow and whole-body absorbed dose calculation
For each patient, the cumulative whole-body activity
(Ã) was calculated by applying the
following equation:where A is the amount of radioactivity administered,
and T is the effective whole-body half-life of
131I.To describe the radiometric data plotted on the graph "estimated whole-body
activity versus time of measurement", the
T was determined by a simple exponential
function adjustment:where λ = 0.693 /
T.According to the radiometric data acquired by probe detection or image
quantification, Ã, and
residence time were calculated in duplicate for each patient. The residence time
was estimated by dividing the à by the
total amount of 131I administered
(A).The absorbed dose of radiation per unit of 131I activity (mGy/MBq),
estimated for the whole body and the red marrow, was calculated with OLINDA/EXM
computer soft-ware(. We
estimated the absorbed dose by introducing the 131I residence time
into the computer program, choosing a specific adult anthropomorphic phantom
(adult male or adult female) 131I radionuclide, and adjusting the
parameters of the software according to patient body mass and thyroid tissue
mass. The last was estimated by calculating the total 131I uptake by
remnant tissue after thyroidectomy and considering 1% of the 131I
uptake per gram of tissue. As described in a previous study(, the red-marrow dose was
adjusted according to patient weight.
RESULTS
Of the 14 patients evaluated, two were male and 12 were female. Patient ages ranged
from 25 to 63 years. All of the patients had previously undergone total or
near-total thyroidectomy. The mean value ± 1 standard deviation for patient
weight was 77 ± 19 kg, and the mean height was 1.63 ± 0.06 m. The
activity of the tracer 131I ranged from 74 MBq to 126 MBq, with a mean
value of 87 ± 14 MBq, administered to patients (orally in liquid form)
according to a dosimetric protocol and as an aid in staging the disease. Patient
characteristics are presented in Table 1.
Table 1
Patient characteristics and units of 131I activity administered to
patients for dosimetric purposes.
Age
Weight
Height
131I activity
Patient
Gender
(years)
(kg)
(m)
(MBq)
P1
Female
63
66.6
1.62
74.00
P2
Female
31
124.0
1.58
82.51
P3
Male
59
65.0
1.69
93.24
P4
Female
49
72.1
1.66
86.95
P5
Female
53
103.0
1.57
126.17
P6
Female
27
81.8
1.66
85.10
P7
Female
37
73.4
1.55
85.84
P8
Female
50
76.5
1.56
74.74
P9
Female
25
43.0
1.69
78.07
P10
Female
51
67.5
1.66
74.37
P11
Female
45
72.9
1.61
77.33
P12
Male
47
67.6
1.58
103.23
P13
Female
26
77.2
1.72
86.95
P14
Female
32
88.9
1.69
92.50
Mean value
42.50 ±
77.02 ±
1.63 ±
87.21 ±
12.68
19.04
0.06
13.99
Patient characteristics and units of 131I activity administered to
patients for dosimetric purposes.Table 2 presents the effective half-life and
residence time of 131I for each patient, determined by considering
radiometric data acquired by means of probe detection and image quantification. The
mean half-life and residence time values were 19 ± 9 h and 28 ± 12 h,
respectively, for probe detection, compared with 20 ± 13 h and 29 ± 18
h, respectively, for image quantification. The effective half-life calculated from
image quantification was, on average, 9.38% higher than that calculated from probe
measurements, the difference ranging from 0.09% to 34.53% among the patients. A
similar difference was observed in residence times. As can be seen in Figures 3 and 4, no significant difference was found between the probe detection and
image quantification methods in terms of the calculated effective half-lives or
residence times (p = 0.801 for both).
Table 2
Estimated effective half-life and residence time of 131I when
considering individually based radiometric data acquired with probe
detection and planar image quantification.
Probe detection
Image quantification
Effective
Residence
Effective
Residence
Patient
half-life (h)
time (h)
half-life (h)
time (h)
P1
20.50
29.58
20.53
29.62
P2
15.18
21.90
15.99
23.07
P3
40.20
58.01
50.84
73.36
P4
19.22
27.73
17.62
25.43
P5
21.30
30.73
21.49
31.01
P6
14.54
20.98
12.41
17.91
P7
13.20
19.05
11.50
16.59
P8
20.09
28.99
19.90
28.72
P9
20.12
29.03
20.14
29.06
P10
7.20
10.39
6.48
9.35
P11
17.43
25.15
16.90
24.39
P12
33.54
48.40
45.12
65.11
P13
11.98
17.29
11.44
16.51
P14
14.05
20.27
12.71
18.34
Mean value
19.18 ±
27.68 ±
20.22 ±
29.18 ±
8.57
12.36
12.57
18.14
Figure 3
Correlations between effective half-lives calculated from radiometric
data acquired with the probe detection and image quantification
methods.
Figure 4
Correlations between residence times calculated from radiometric data
acquired with the probe detection and image quantification methods.
Estimated effective half-life and residence time of 131I when
considering individually based radiometric data acquired with probe
detection and planar image quantification.Correlations between effective half-lives calculated from radiometric
data acquired with the probe detection and image quantification
methods.Correlations between residence times calculated from radiometric data
acquired with the probe detection and image quantification methods.Radiation doses to the red marrow and whole body per unit of 131I activity
administered are presented in Table 3. Mutual
correlations, when estimated by probe detection or image quantification, are shown
in Figures 5 and 6. When estimated by probe detection, the mean red-marrow and whole-body
doses were 0.061 ± 0.041 mGy/MBq and 0.073 ± 0.040 mGy/MBq,
respectively, compared with 0.066 ± 0.055 mGy/MBq and 0.078 ± 0.056
mGy/MBq, respectively, when estimated by image quantification. The mean differences
between the probe detection and image quantification methods in terms of the
radiation doses calculated was similar to those found for the effective half-lives
and residence times. The statistical analysis revealed no significant difference
between the two methods, in terms of the estimated radiation doses to the red marrow
(p = 0.708) and to the whole body (p =
0.811).
Table 3
Estimation of red-marrow and whole-body radiation doses when considering
radiometric data from probe detection and planar image quantification.
Probe detection
Image quantification
Red-marrow
Whole-body
Red-marrow
Whole-body
Patient
(mGy/MBq)
(mGy/MBq)
(mGy/MBq)
(mGy/MBq)
P1
0.067
0.084
0.067
0.084
P2
0.025
0.036
0.026
0.038
P3
0.155
0.167
0.196
0.211
P4
0.057
0.073
0.052
0.067
P5
0.042
0.060
0.043
0.060
P6
0.037
0.050
0.032
0.042
P7
0.038
0.050
0.033
0.043
P8
0.056
0.073
0.055
0.072
P9
0.119
0.120
0.119
0.120
P10
0.023
0.029
0.021
0.026
P11
0.051
0.066
0.050
0.064
P12
0.123
0.134
0.165
0.181
P13
0.033
0.043
0.031
0.041
P14
0.033
0.045
0.030
0.040
Mean value
0.061 ±
0.073 ±
0.066 ±
0.078 ±
0.041
0.040
0.055
0.056
Figure 5
Correlations between radiation doses to the red marrow, as calculated
from radiometric data acquired with the probe detection and image
quantification methods.
Figure 6
Correlations between radiation doses to the whole body, as calculated
from radiometric data acquired with the probe detection and image
quantification methods.
Estimation of red-marrow and whole-body radiation doses when considering
radiometric data from probe detection and planar image quantification.Correlations between radiation doses to the red marrow, as calculated
from radiometric data acquired with the probe detection and image
quantification methods.Correlations between radiation doses to the whole body, as calculated
from radiometric data acquired with the probe detection and image
quantification methods.As can be seen in Figures 7 and 8, there were a good correlation between the
estimated doses delivered to the red marrow and whole body for the same patient, as
calculated by probe detection (p = 0.376;
R = 0.988) and image quantification
(p = 0.490; R = 0.993). Overall
(as calculated by both methods), the mean radiation dose per unit of 131I
activity administered received by the whole body was approximately 27% higher than
that received by the red marrow (range, 0.84-44.0%).
Figure 7
Correlations between radiation doses to the red marrow and radiation
doses to the whole body when only radiometric data acquired with probe
detection were considered.
Figure 8
Correlations between radiation doses to the red marrow and radiation
doses to the whole body when only radiometric data acquired with image
quantification were considered.
Correlations between radiation doses to the red marrow and radiation
doses to the whole body when only radiometric data acquired with probe
detection were considered.Correlations between radiation doses to the red marrow and radiation
doses to the whole body when only radiometric data acquired with image
quantification were considered.The radiation doses presented in Table 3 were
calculated by considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h). However, an optimized approach can be applied, given that similar dose
estimation results are obtainable when using only the measurements obtained at the
two extremes (4 h and 96 h). Correlations between the optimized and the
non-optimized method can be seen in Figures 9,
10, 11 and 12. Statistical analysis
with a t-test showed that there was no significant difference between the two
methods for estimating doses (p > 0.914).
Figure 9
Correlations between radiation doses to the red marrow calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
probe detection method.
Figure 10
Correlations between radiation doses to the whole body calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
probe detection method.
Figure 11
Correlations between radiation doses to the red marrow calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4h and 96 h), using only radiometric data acquired with the
image quantification method.
Figure 12
Correlations between radiation doses to the whole body calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
image quantification method.
Correlations between radiation doses to the red marrow calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
probe detection method.Correlations between radiation doses to the whole body calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
probe detection method.Correlations between radiation doses to the red marrow calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4h and 96 h), using only radiometric data acquired with the
image quantification method.Correlations between radiation doses to the whole body calculated by
considering measurements obtained at five time points (4, 24, 48, 72,
and 96 h) and those calculated by considering measurements obtained at
only two (4 h and 96 h), using only radiometric data acquired with the
image quantification method.It is important to note that, when estimating the radiation doses to the red marrow
and whole body in this study, we did not take into consideration doses received by
the patients less than 4 h after 131I administration. Soon after oral
administration, 131I is mainly accumulated in the stomach, and requires a
certain time before entering into blood circulation. It is assumed that immediate
whole-body 131I dispersion would lead to incorrect radiation dose
estimation. However, if one considers immediate 131I dispersion in the
first 4 h, the dose to the red marrow or whole body would account for only
approximately 10% of the total dose received by the two. However, this assumption
was not made in the present study, because the main aim here was to compare the
performance of probe detection and image quantification in radiation dose
estimation.
DISCUSSION
Since 1962, when Benua et al.(
presented a study on radioiodine dosimetry for metastatic thyroid cancerpatients,
many papers on the same topic have been published(. However, there is still controversy regarding this
point, due to a scarcity of studies comparing dose-response correlations according
to the dosimetric method employed. In most dosimetric methods, consideration (for
dose calculation) is given only to the use of extensive radiometric data from
patients undergoing diagnostic or therapeutic procedures. Nevertheless, these data
can be acquired by collecting and measuring radiometric data from body fluids or
even inferred from body radiation measurement.According to the European Association of Nuclear Medicine Dosimetry Committee blood
and bone marrow dosimetry guidelines for differentiated thyroid cancer(, the probe and image quantification
methods are considered as alternative procedures for estimating the amounts of
radioactive iodine inside the body and provide similar absorbed-dose results when
those data are used for internal dose calculation. However, from our point of view,
there have been no studies presenting dosimetric data in a satisfactory way to
confirm this assumption. In addition, the limitations of using only radiometric data
acquired by probe detection to tailor the 131I amount to be administered
to metastatic thyroid cancerpatients have not been well addressed. In this context,
the present study makes a contribution to internal dosimetry by furnishing
comparisons of dosimetric data estimated by probe detection and image
quantification.On the basis of the results of the current study, and by applying the methodology
described here, we can state that the probe detection and image quantification
methods provided similar results when estimating 131I effective half-life
and residence time within the body. Therefore, both methods can be considered valid
for determining these parameters. The differences between the two methods when
estimating radiation doses per unit of 131I activity administered, either
to the red marrow or to the whole body were not statistically significant. The mean
radiation dose to per unit of 131I activity administered was considerably
higher for the whole-body doses than for the red-marrow doses, and the difference
was similar to that reported in other studies(. It is important to note that, depending on the physical
characteristics of each patient (e.g., weight and height), that difference could
reach values even higher than the 27% observed in the present study, which is a
representative value for a standard patient (70 kg in weight and 1.70 m tall), hence
the impropriety of using that value for every patient without some kind of
adjustment according to patient biotype, especially in the case of patients
presenting bone metastases.When determining appropriate doses, good correlations were found between the absorbed
doses determined at five time points (4, 24, 48, 72, and 96 h) and those determined
at only two (4 h and 96 h), when either probe detection or image quantification was
used. Reducing the number of data points necessary for estimating radiation doses
implies a general reduction in the costs involved in nuclear medicine therapy
planning, while working in favor of implementing this procedure in the daily routine
of a nuclear medicine department. A similar study of optimizing the amount of
radiometric data necessary for dosimetry in Graves' disease therapy was previously
conducted by our group using the probe detection method(.
Another group of authors used positron emission tomography images to estimate the
radiation doses given to patients with thyroid cancer(. Both studies were in agreement, in that it is
possible to achieve a considerable reduction in the amount of radiometric data
required for providing adequate dosimetry. However, it is possible that more data
are needed in the case of tumor dosimetry.The probe detection and image quantification methods provide similar results in
determining radiometric data for planning red-marrow and whole-body dosimetry for
thyroid cancerpatients without metastatic bone involvement. However, the probe
detection method should be used with a certain degree of caution, given that, in
some clinical cases, the red-marrow is not the first organ at risk during therapy,
especially in patients who present with regional or disseminated diseases. Unlike
image quantification, probe detection is unable to identify tumor sites or evaluate
the 131I biokinetics within specific organs, such as the kidneys, lungs,
and brain, or in tumors surrounding the spinal cord. At our facility, several
patients presented to therapy planning with metastases involving or adjacent to the
spinal cord with high 131I uptake. Such metastases merit special
attention, with restrictions of the absorbed dose being determined according to the
dimension of the irradiated area during radionuclide therapy procedures, such as
external radiotherapy, such analysis having been the modus operandi
for decades. It is also quite common to see patients presenting with lung
metastases, a situation in which the lung, rather than the red marrow, is the
limiting organ for determining the total amount of 131I to be applied in
therapy. Therefore, the evaluation of tumor sites and dose restriction based on
131I biokinetics in a specific organ or tumor cannot be determined
only by probe detection, in which the analysis and quantification of nuclear
medicine images is the rule. Tailoring the amount of 131I to be
administered to a patient based on biokinetics data obtained from probe detection
alone could lead to the use of incorrect procedures, with the possibility of causing
severe damage to the patient.From our perspective, there is no doubt that the future of nuclear medicine dosimetry
will involve image quantification, given the various advantages of its use in
therapy planning, such as restoring the bases of radionuclide therapy, thus avoiding
cell damage caused by the delivery of inappropriate radiation doses to a specific
organ or tumor.
CONCLUSIONS
There is strong positive agreement between the probe detection and image
quantification methods for estimating 131I biokinetics and radiation
doses to the red marrow and whole body for patients with metastatic thyroid cancer
without metastatic bone involvement. Nevertheless, care should be taken when using
the probe detection method, because it is unable to identify tumor sites and
critical organs during therapy planning, which could have a negative impact on the
adjustment of 131I amounts to be administered.
Authors: Walter Jentzen; Lutz Freudenberg; Ernst G Eising; Wilfried Sonnenschein; Jochen Knust; Andreas Bockisch Journal: J Nucl Med Date: 2008-05-15 Impact factor: 10.057
Authors: Robert Dorn; Juergen Kopp; Harry Vogt; Peter Heidenreich; Robert G Carroll; Seza A Gulec Journal: J Nucl Med Date: 2003-03 Impact factor: 10.057
Authors: Hong Song; Bin He; Andrew Prideaux; Yong Du; Eric Frey; Wayne Kasecamp; Paul W Ladenson; Richard L Wahl; George Sgouros Journal: J Nucl Med Date: 2006-12 Impact factor: 10.057
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