Is the in vivo dosimetry with the OneDosePlusTM system able to detect intra-fraction motion? A retrospective analysis of in vivo data from breast and prostate patients
© Falco et al.; licensee BioMed Central Ltd. 2012
Received: 8 March 2012
Accepted: 5 June 2012
Published: 20 June 2012
The OneDosePlusTM system, based on MOSFET solid-state radiation detectors and a handheld dosimetry reader, has been used to evaluate intra-fraction movements of patients with breast and prostate cancer.
An Action Threshold (AT), defined as the maximum acceptable discrepancy between measured dose and dose calculated with the Treatment Planning System (TPS) (for each field) has been determined from phantom data. To investigate the sensitivity of the system to direction of the patient movements, fixed displacements have been simulated in phantom. The AT has been used as an indicator to establish if patients move during a treatment session, after having verified the set-up with 2D and/or 3D images. Phantom tests have been performed matching different linear accelerators and two TPSs (TPS1 and TPS2).
The ATs have been found to be very similar (5.0% for TPS1 and 4.5% for TPS2). From statistical data analysis, the system has been found not sensitive enough to reveal displacements smaller than 1 cm (within two standard deviations). The ATs applied to in vivo treatments showed that among the twenty five patients treated for breast cancer, only four of them moved during each measurement session. Splitting data into medial and lateral field, two patients have been found to move during all these sessions; the others, instead, moved only in the second part of the treatment. Patients with prostate cancer have behaved better than patients with breast cancer. Only two out of twenty five moved in each measurement session.
The method described in the paper, easily implemented in the clinical practice, combines all the advantages of in vivo procedures using the OneDosePlusTM system with the possibility of detecting intra-fraction patient movements.
KeywordsOneDosePlusTM system MOSFET detector In vivo dosimetry Intra-fraction motion error
In vivo dosimetry, recommended by various national and international organizations is a Quality Assurance tool to measure radiation dose delivered to patients during radiotherapy[1–5]. These measurements can be compared to the planned doses specified by the oncologist and calculated by the Treatment Planning System (TPS) for the target and critical organs (e.g. rectum or spinal cord). In this way set-up, calculation, motion or transcription errors, that may have gone unnoticed during pre-treatment check, can be recovered. In the absence of errors, routine in vivo dose measurements document that the treatment was delivered correctly.
Detectors commonly used for in vivo measurements are thermoluminescence dosimeters (TLDs), semiconductor diodes and Gafchromic® films (International Speciality Products, Wayne, NJ)[6, 7]. All these devices have strong and weak points; MOSFET detectors (Metal Oxide Silicon Field Effect Transistors) are a valid alternative as in vivo dosimeters[9–13]. They were designed to replace TLDs having about the same size and fewer correction factors as compared to diodes. However, like diodes, they have to be connected to commercial electrometers using cables, which can be discomforting for the patient. Since 2003, the OneDoseTM and since 2006 the OneDosePlusTM systems (Sicel Technologies, Morrisville, NC), based on p-type MOSFET detectors, have been introduced to measure patient dose in radiotherapy[14–22]. Both systems have all the advantages of MOSFET detectors plus other interesting features. The dosimeters are wireless, precalibrated (the calibration factors for each dosimeter give the relationship between the voltage shift and the amount of radiation dose) and contain an adhesive backing to be attached to the patient. In the OneDoseTM system, the dosimeters for photon and electron beams are the same, and the user must provide a bolus to achieve the energy dependent build-up; in the OneDosePlusTM system, instead, the dosimeters that have to be used on photon beams, include an integrated build-up cap to achieve charged particle equilibrium conditions. These features, together with the possibility to create a permanent record of the dose, make this system particularly suitable for in vivo dosimetry in treatment techniques such as brachytherapy, total body irradiation and 3-D conformal radiation therapy. Technical aspects of the design and tests of the performance of the OneDoseTM system in measuring dose per monitor unit in different conditions using the AAPM TG-21 protocol have been described in the literature.
In in vivo dosimetry all those factors which influence dose deposition, especially when very high doses of radiation are prescribed, have to be taken into account. However, all these factors may not all influence simultaneously the delivery of a specific dose. In addition, even the best in vivo dosimeter cannot distinguish the causes of a dose discrepancy, but it records only their total effect. All the possible error sources need to be investigated to provide an accurate estimation of the delivered dose. The aim of this work is to use the OneDosePlusTM system to investigate the dosimetric effect of the movement of patients in selected tumor sites (breast and prostate) during radiotherapy treatments.
The manufacturer system specifications are: dose range between 0 and 500 cGy, with an accuracy of ±5% (within 2 Standard Deviation, 2SD) and ±2 cGy for doses below 30 cGy; energy range from 60Co to 18 MV; SSD from 80 to 120 cm and dose linearity from 2 to 400 cGy; no angular dependence (limited to ±30° incident beam angle) and no temperature dependence (accuracy maintained to up to ±5°C variation during zeroing and postdose reading). The dosimetric system is factory calibrated with a 60Co beam in full build-up conditions and in the following settings (hereafter named “standard conditions”): 6MV photon beam, SSD = 100 cm, 10 cm x 10 cm field size, 300 MU/min dose rate and no wedge. To relate MOSFET readout to dose in conditions other than standard, the manufacturer provides correction factors. These factors are a function of treatment specific parameters such as energy, SSD, field size, wedge filter characteristics and dose rate (energy/modality corrective factors). They are written onto each dosimeter and specified in a calibration sheet (Lot Calibration). Calibration factors are determined for each single dosimeter while the correction factors are determined from a random sampling of detectors and applied to the entire lot. After irradiation the dose is measured by inserting the dosimeter in the handheld reader. If treatment specific parameters are entered before irradiation, the reader shows the corrected dose, otherwise, standard conditions are assumed and correction factors can later be applied by hand calculation. Optimum results are obtained if the post-dose reading is taken 2.5 minutes after irradiation to avoid fading.
Prior to implementation for in vivo dosimetry, the OneDosePlusTM system has been thoroughly investigated in two phantoms, a thorax anthropomorphic phantom and a slab phantom, to establish a baseline of dose discrepancy with respect to our TPS. This part of the study was aimed at establishing an Action Threshold (AT)[5, 24], defined as the maximum accepted discrepancy between the dose measured with the detector and the dose calculated with the TPS for a single field (in our procedure only one field at a time is verified). A single AT has been established, one specific for breast and one for prostate treatments, from the analysis of the tests in phantoms, and it has been used as an indicator of the correctness of breast and prostate treatments themselves. Two TPSs were used: the Precise Plan (Elekta, Crawley, United Kingdom) for breast and prostate treatments and Pinnacle3 version 8.0 m (Philips Medical System, Andover, MA), for prostate treatments only. Measurements were performed on two different linear accelerators: an Elekta Precise (Elekta, Crawley, United Kingdom), with nominal X-ray energies of 6 and 15 MV and with Precise Plan as TPS, and an Elekta Synergy S (Elekta, Crawley, United Kingdom), with nominal energies of 6 and 18 MV and with Pinnacle3 as TPS, respectively. Consequently, the AT has been determined in each combination accelerator + TPS. The measurements were performed without inserting the manufacturer’s corrective factors into the reader before treatment but correcting the readings after the treatment using the formulas in the lot calibration. This solution was chosen to minimize the duration of the procedure before treatment.
Initially the patient set-up was verified and, if needed, corrected using a 2D (breast and some prostate patients) or a 3D (only prostate patients) verification system. In the 2D verification procedure, some structures were outlined by the Radiation Oncologist both on the Digitally Reconstructed Radiographs (DRRs) and the portal images acquired by the IVIEWGT (Elekta, Crawley, United Kingdom). The displacements were evaluated after the software matched the outlines in both images. The set-up was corrected if the displacements exceeded 2 mm. In the 3D verification procedure, instead, the registration between the planning CT and the pre-treatment Cone Beam CT (CBCT) scan, was performed automatically by the XVI software (Elekta, Crawley, United Kingdom) using a 3D chamfer matching algorithm. The set-up was corrected if the calculated displacements exceeded 2 mm. Only translational set-up errors were considered and corrected online, as our treatment couch cannot perform pitch and roll rotations. However, the patient was always repositioned whenever calculated rotational set-up errors were 1° or more.
Two MOSFETs were used for each patient: one for the first and one for the last field of the treatment session (in our centre prostate treatments is delivered with six fields while breast treatments with two tangential opposing wedged fields). If the discrepancy between the measured dose, corrected with the appropriate corrective factors, and the dose calculated with the TPS was above the AT value, an intra-fraction motion error was assumed to have occurred.
A. Phantom tests and AT calculation
To determine the AT for breast treatments, a thorax anthropomorphic phantom (model RS-111, RSD Radiology Support Devices, Inc. USA) has been used. A typical breast tangential medial wedged field (6 MV photons, asymmetrical field size, SSD 92 cm, 30° wedge, 100° collimator angle and 305° gantry angle) has been simulated with the Precise Plan as TPS, having energy, collimator angle, gantry angle, SSD, field size and wedge similar to those used for patient’s treatments. Only the tangential medial wedged field has been considered as both tangential fields (medial and lateral) are equal and opposite with the isocenter placed at the midpoint of the target in the longitudinal direction. The field was strongly asymmetrical in the wedge direction as in the majority of breast treatments. For prostate treatments, we have used a field equivalent square of 7.5 cc, with a SSD of 88 cm, an energy of 18 MV and a collimator angle of 0°. Only the 90° gantry field (rotated to 0° gantry) on a 30x30x20 cm3 RW3 slab phantom (ρ=1.045 g/cm3) has been simulated (90° and 270° gantry angles are equal and opposite with the isocenter placed at the midpoint of the target in all directions). Also in this case, the chosen set-up has been as much as possible similar to that of the majority of prostate treatments.
Finally, we calculated the mean dose discrepancy, indicated with Δ, and its standard deviation (Δ±SD (Δ)). Δ was used for each patient in each measurement session, to calculate the difference between the dose actually measured at the surface patient projection of the isocenter, and that calculated at the isocenter using the corresponding TPS, during in vivo check dosimetry. The AT, instead, was calculated as twice the standard deviation of the ten differences (within the confidence interval of 95%). Other plausible combinations of SSD, gantry angle, field size and wedge angle have been randomly considered and the differences with the corresponding calculated doses evaluated. This set of measurements has led to an additional error of 0.5% to add to the AT previously calculated. A further 0.5% has been added to take into account the MOSFET positioning error due to difficulty to exactly place the detector at the surface projection of the isocenter on the phantom, or on the patient. In our tests, the SD was considered as the random error; while Δ as the systematic error. The latter has not been taken into account for in vivo evaluations since it was found to be negligible.
To investigate the most likely directions of the intra-fraction patient movements, five MOSFETs were placed at fixed displacements with respect to the beam central axis (surface projection of the isocenter on the phantom), considered as the reference point, and irradiated (we carried out one displacement at a time). We wanted to determine not only the direction of the displacements during each treatment session but also if the system was actually able to detect them. We first considered 3 mm (the displacement that does not affect dose target distribution) in all 3D directions, then 1 cm. In breast treatments and towards the wedge toe, the displacement performed was 0.7 cm, since 1 cm displacement would lead to the field edge. The directions of displacements were (looking towards the gantry): couch to the right, couch to the left, couch to gun, couch to target, couch up and down. The average values for each direction and displacement length, have been put in comparison to the reference. A statistical analysis of these data has been performed to establish the sensitivity of the system in detecting the displacements.
B. In vivo measurements
Twenty five patients with breast cancer and twenty five patients with prostate cancer were considered for this study. Each dosimeter was attached to the patient’s skin with its build-up cap area at the surface projection of the isocenter and as perpendicular as possible to the beam central axis. The approximate perpendicularity (within ±30°) between the beam axis and MOSFET surface was verified by the Radiation Technologist with a rigid sheet of paper placed on the MOSFET surface. The patients with breast cancer had their treatments planned with the Precise Plan TPS and were irradiated with the Elekta Precise accelerator. Patients with prostate cancer, were split into two groups: the first group included 10 patients treated with the same accelerator, the same TPS and the same 2D verification system as the breast patients; the second group, instead, included 15 patients whose treatments were planned with Pinnacle3 and who were irradiated with the Elekta Synergy S. In both TPSs, the doses were calculated isolating the contribution of the field which was to be measured with the MOSFET. The calculated dose value was taken at the depth dmax along the central ray passing through the isocenter. These doses were compared with the measurements obtained with the dosimetric system, after correction by energy/modality corrective factors. For each patient, the measurements were performed, once a week, using one MOSFET for the selected field of the treatment plan.
A. Phantom tests and AT calculation
For the tangential medial wedged field, the average dose of ten repeated measurements on the Elekta Precise was (379.0 ± 5.3) cGy, while the corresponding dose calculated with Precise Plan TPS (TPS1) was 379.7 cGy. The SD of the ten dose differences was about 1.5%. The same result has been obtained for the prostate treatment, using the same linear accelerator and TPS (TPS1) of the breast treatment (not reported). Therefore, AT1 = 5.0%. For prostate treatments and for the Elekta Synergy S the average dose of ten repeated measurements was (194.4 ± 2.3) cGy, while the corresponding dose calculated with Pinnacle3 TPS (TPS2), was 193.5 cGy. The SD was 1.2%. Making the same considerations above reported, the overall result for AT2 was ± 4.5%.
The results of the displacements made in the phantoms with respect to the reference point, are reported in Additional file1: Table S1 and Additional file2: Table S2 for breast and prostate treatments, respectively. For each displacement, we have assumed that the values measured followed the Student’s t distribution with ν = 5 degrees of freedom. From the statistical analysis of the data in Additional file1: Table S1, we have found that, for each displacement, the differences between the average values and the corresponding reference, are statistically significant only in three cases (p value <0.005). The system, therefore, is sensitive to displacements of: 1) 0.7 cm towards the toe of the wedged field (named s1), which corresponds to a displacement towards the penumbra region (the worse value); 2) 1 cm toward the heel of the wedged field, with the couch to the left (named s2) and 3) 1 cm with the couch up (named s3). The latter is the displacement that can be due to the respiratory acts of the patient where a large SSD variation can be observed. Shaded rows mark these displacements. The maximum discrepancies found were −6.0%, -4.9% and +3.5% for s1, s2 and s3, respectively. These values were smaller than AT1 (±5.0%), except s1. If we consider 2 SD, the new value of s1 becomes smaller than AT1. Therefore, the system is not able to detect displacements smaller than 1 cm.
For prostate treatments, the corresponding statistical analysis of data reported in Additional file2: Table S2, has shown that the differences between the reference dose value and the average dose for each displacement, are statistically significant in two cases (197.9 ± 2.1 cGy and 190.3 ± 1.9 cGy, respectively) which corresponds to displacements of the couch up and down. Shaded rows mark these displacements. The maximum discrepancy found was −2.6% and +3.3%, both smaller than AT2. Also in this case, the system can detect only displacement not smaller than 1 cm. For prostate data and for TPS1 + Elekta Precise accelerator, similar results have been obtained (not shown).
B. In vivo measurements
The AT values calculated using data from phantom tests for two different TPSs, were found to be very similar, ±5.0% for TPS1 and ±4.4% for TPS2, and of the same order of the magnitude of the intrinsic system uncertainty (2SD = ±5.0%). This is due to the fact that SD1 is not so much different from SD2, even if SD2 has been determined from TPS2 (Pinnacle3) which is more accurate than TPS1 (Precise Plan) in calculating doses (SD1 is 1.5% for TPS1, and SD2 is 1.2% for TPS2). This means that the system is reproducible with respect to each TPS. This result is similar to those found in other institutions[5, 24] using other measurement devices like different MOSFET or diode based dosimeters.
Among the twenty five patients treated for breast cancer, only in four of them Δ was larger than AT1 in each measurement session over a treatment lasting two weeks and half. Other six patients, randomly moved during the treatment. After the first session, we told the patient not to move during the treatment but the results of the measurements of the subsequent weeks reported in our figures, show that they didn’t follow our instructions or, more likely, the position of treatment was too hard to keep for the long treatment time (it lasted about 10 minutes), so they probably relaxed their arms causing a shift of the point in which the dosimeter was placed. This shift could have caused a change of the measured dose due to the gradient across the wedge and also across the penumbra of the field.
The discrepancies larger that the corresponding ATs, have a general negative trend. However, some of them have positive values indicating that either the corresponding fields are different from that simulated in the phantom study (likely in patient # 12, where the length of the field was larger than 1 cm in the toe direction of the wedge); or that an abdomen expansion due to a deeper than average inspiration had happened (likely in the patient # 24, who had a discrepancy value larger then AT1, both in medial and lateral fields).
In vivo results for patients with prostate cancer have shown better results compared to patients with breast cancer. This result indicates that this kind of treatment is more reproducible, also due to the immobilization system which makes movements difficult. Patients # 1 and 14 have been positioned with a 3D-CBCT scanner, known to be more accurate than a 2D system[25–27]. This clearly shows that even if the patient is positioned using the best and the most accurate verification system, motion during the treatment session causes a loss of accuracy in the treatment. However, the general trend of a reduced data dispersion, calculated along the entire treatment, for patients treated with Elekta Synergy S compared to those calculated with Elekta Precise, indicate that if patients don’t move and they are positioned using the best 3D-CBCT scanner, treatment accuracy improves.
In Image-Guided Radiation Therapy (IGRT) and Intensity Modulated Radiation Therapy (IMRT) techniques, the time of patient setup and treatment delivery has increased, together with the need to monitor and manage patient motion during treatment. There are different systems based on new technologies to monitor internal tumor motion, patient motion or both during treatment. As concerns external motion detection and measurement, Infrared (IR) cameras which use infrared external markers[28, 29], spirometry, electromagnetic positioning systems or in-house devices[32, 33] have been used to monitor patient’s and respiratory motion. The accuracy declared by the manufacturers in detecting displacements of the chest wall is about 1 mm for the commercial devices, and increases to 0.5 - 1.25 cm in the in-house systems. Some of these systems focus on detecting chest wall motion to predict tumor motion, the commercial systems being, in addition, quite expensive. The external displacements can however differ from internal tumor displacements up to about 2 cm, as reported by some authors[34–36]. Tumor motion, can be directly measured by surgically implanting fiducial markers into the tumor. The movements of these markers can be then tracked using fluoroscopy or other techniques. The use of internal markers, suffers from high level of morbidity (the clips can migrate) and, when fluoroscopy is used to track the markers, additional dose is delivered to the patient[35, 39]. All these systems concentrate in extracting information about intra-fraction organ motion but they not consider the dose that the target really receives. In a recent publication, the authors use a new 4D in vivo dosimetry tool (based on MOSFET dosimeters combined to an electromagnetic positioning sensor) to simultaneously measure real time dose delivery to the center of the field and surface lung motion. Our methodology is based on the idea of using only “ in vivo” dosimetric information to detect intra-fraction patient movements during treatment. It is very simple to implement, can be used in every type of treatment, it is not expensive and can 1) give both dose measurements and intra-fraction patient movements; 2) use in vivo dose measurements to give information about the direction of target movements and 3) estimate the dose received from the isocenter (inside the target) from the dose measured in two opposing fields. The main limitations, however, are that the system can only monitor external motion and that the assessment of the intra-fraction motion cannot be made on-line in a continuous fashion but only at the end of the treatment session.
The accuracy of the method was found to be of 1 cm which means that displacements larger than 1 cm can be detected. However, this depends on whether a displacement produces a significant difference between measured and calculated dose, which in turn depends on the kind of treatment and treatment site. Our work was focused on 3D conformal treatments; due to extreme sensitivity of the system to rapid dose variations, we believe that the accuracy can be improved when monitoring movements in patients treated with IMRT.
The dosimetric performance of the OneDosePlusTM system for in vivo dosimetry has been studied with respect to two different TPSs. The ATs established in phantom tests have been found to be of the same order of magnitude and independent from the TPS used. This procedure applied to patients after correction of the set-up errors, has allowed the identification of large random movements in some patients, which resulted to be more pronounced in breast than in prostate treatments. In addition, the results obtained indicate that these movements are not dependent on the kind of the verification system (2D or 3D) used to correct the set-up. The method decribed in the paper, easily implemented in clinical practice, combines all the advantages of the OneDosePlusTM system, such as the small size of the dosimeter, absence of cables, instant read-out, permanent storage of dose and ease of use, with the possibility of detecting intra-fraction patient movements.
- Protection of the patient in radiation therapy. ICRP publication 44. International Commission on Radiological Protection (ICRP) Ann ICRP 1985, 15: 2.
- Belleti S, Dutreix A, Garavaglia G, Gfirtner H, Haywood HJ, Jessen KA, Lamm I-L, Mijnheer B, Noël A, Nüsslin F, Rosenow U, Schneider P, Seelentag W, Sheriff S, Svensson H, Thwaites H: Quality assurance in radiotherapy: the importance of medical physics staffing levels. Recommendations from an ESTRO/EFOM joint task group. Radiother Oncol 1996, 41: 89-94.View ArticleGoogle Scholar
- Yorke E, Alecu R, Fontenla D, Ding L, Kalend A, Kaurin D, et al.: Diode in vivo dosimetry for patients receiving external beam radiotherapy: recommendations of the AAPM radiation therapy committee. Task group 62. Medical Physics Publishing; 2005Google Scholar
- Garavaglia G, Johansonn KA, Leunens G, Mijnheer BJ: The role of in-vivo dosimetry. Radiother Oncol 1993, 29: 281-282. 10.1016/0167-8140(93)90259-BView ArticlePubMedGoogle Scholar
- Huyskens DP, Bogaerts R, Verstraete J, Leaf M, Nystrom H, Fiorino C, Broggi S, Jornet N, Ribas M, Thwaites DI: Practical guidelines for the implementation of in vivo dosimetry with diode in external radiotherapy with photon beams (entrance dose). 2001.Google Scholar
- Loncol T, Greffe JL, Vynckier S, Scalliet P: Entrance and exit dose measurements with semiconductors and thermoluminescent dosemeters: a comparison of methods and in vivo results. Radiother Oncol 1996, 41: 179-187. 10.1016/S0167-8140(96)01826-9View ArticlePubMedGoogle Scholar
- Su FC, Shi C, Papanikolaou N: Clinical Application of GAFCHROMIC® EBT film for in vivo dose measurements of total body irradiation radiotherapy. App Radiat Isot 2008, 66: 389-394. 10.1016/j.apradiso.2007.09.015View ArticleGoogle Scholar
- Mijnheer B: The state of the art of in vivo dosimetry. Rad Pro Dos 2008,131(1):117-122. 10.1093/rpd/ncn231View ArticleGoogle Scholar
- Hughes RC, Huffman D, Snelling JV, Zipperian TE, Ricco AJ, Kelsey CA: Miniature radiation dosimeter for in vivo radiation measurements. Int J Radiat Oncol Biol Phys 1988, 14: 963-967. 10.1016/0360-3016(88)90019-3View ArticlePubMedGoogle Scholar
- Soubra M, Cygler J, Mackay G: Evaluation of a dual bias metal oxide-silicon semiconductor field effect transistor as radioation dosimeter. Med Phys 1994, 21: 576-572.Google Scholar
- Ramani R, Russel S, O’Brien P: Clinical dosimetry using MOSFETs. Int J Radiat Oncol Biol Phys 1997, 37: 959-964. 10.1016/S0360-3016(96)00600-1View ArticlePubMedGoogle Scholar
- Butson MJ, Rozenfeld A, Mathur JN, Carolan M, Wong TP, Metcalfe PE: A new radiotherapy surface dose detector: the MOSFET. Med Phys 1996, 23: 655-658. 10.1118/1.597702View ArticlePubMedGoogle Scholar
- Scalchi P, Francescon P, Rajguru P: Characterization of a new MOSFET detector configuration for in vivo skin dosimetry. Med Phys 2005, 32: 1571-1758. 10.1118/1.1924328View ArticlePubMedGoogle Scholar
- Technologies S: “One Dose User’s Manual”, Pre-production draft version, rev P01. Morrisville: Sicel Technologies Inc; 2003.Google Scholar
- Halvorsen PH: Dosimetric evaluation of a new design MOSFET in vivo dosimeter. Med Phys 2005,32(1):110-117. 10.1118/1.1827771View ArticlePubMedGoogle Scholar
- Beddar AS, Salehpour M, Briere TM, Hamidian H, Gillin MT: Preliminary evaluation of implantable MOSFET radiation dosimeters. Phys Med Biol 2005, 50: 141-149. 10.1088/0031-9155/50/1/011View ArticlePubMedGoogle Scholar
- Best S, Ralston A, Suchowerska N: Clinical application of the one dose patient dosimetry system for total body irradiation. Phys Med Biol 2005, 50: 5909-5919. 10.1088/0031-9155/50/24/010View ArticlePubMedGoogle Scholar
- Briere TM, Lii J, Prado K, Gillin MT, Beddar AS: Single-use MOSFET radiation dosimeters for the quality assurance of megavoltage photon beams. Phys Med Biol 2006, 51: 1139-1144. 10.1088/0031-9155/51/5/006View ArticlePubMedGoogle Scholar
- Kinhikar RA, Sharma PK, Tambe CM, Mahantshetty UM, Sarin R, Deshpande DD, Shrivastava SK: Clinical application of a OneDose MOSFET for skin dose measurements during internal mammary chain irradiation with high dose rate brachytherapy in carcinoma of the breast. Phys Med Biol 2006, 51: 263-268.View ArticleGoogle Scholar
- Kinhikar RA, Sharma PK, Tambe CM, Deshpande D: Dosimetric evaluation of a new OneDose MOSFET for Ir-192 energy. Phys Med Biol 2006, 51: 1261-1268. 10.1088/0031-9155/51/5/015View ArticlePubMedGoogle Scholar
- Briere TM, Tailor R, Tolani N, Prado K, Lane R, Woo S, Ha C, Gillin MT, Beddar AS: Patient dosimetry for total body irradiation using single-use MOSFET detectors. JACMP 2008,9(4):200-205.Google Scholar
- Cheng CW, Wolansky M, Das IJ, Zhao Q, Fanelli L, Gautam A, Pack D: Dosimetric characteristics of a single use MOSFET dosimeter for in vivo dosimetry in proton therapy. Med Phys 2010, 37: 4266-4273. 10.1118/1.3467753View ArticlePubMedGoogle Scholar
- AAPM Task Group 21: “A protocol for the determination of absorbed dose from high-energy photon and electron therapy”. Med Phys 1983, 10: 741-771.View ArticleGoogle Scholar
- Morton JP, Bhat M, Williams T, Kovendy A: Clinical results of entrance dose in vivo dosimetry for high energy photons in external beam radiotherapy using MOSFETs. Australas Phys Eng Sci Med 2007,30(4):252-259. 10.1007/BF03178434View ArticlePubMedGoogle Scholar
- Remeijer P, Geerlof E, Ploeger L, Gilhuijs K, van Herk M, Lebesque JV: 3-D portal image analysis in clinical practice: an evaluation of 2D and 3D analysis techniques as applied to 30 prostate cancer patients. Int J Radiat Oncol Biol Phys 2000, 46: 1281-1290. 10.1016/S0360-3016(99)00468-XView ArticlePubMedGoogle Scholar
- Falco MD, Fontanarosa D, Miceli R, Carosi A, Santoni R, D’Andrea M: Preliminary studies for a CBCT imaging protocoll for offline organ motion analysis: registration software validation and CTDI measurements. Med Dos 2011,36(1):91-101. 10.1016/j.meddos.2010.01.003View ArticleGoogle Scholar
- Hurkmans CW, Remeijer P, Lebesque JV, Mijnheer BJ: Set-up verification using portal imaging; review of current clinical practise. Radiother Oncol 2001, 58: 105-120. 10.1016/S0167-8140(00)00260-7View ArticlePubMedGoogle Scholar
- Kini VR, Vedam SS, Keall P, Mohan AR: A dynamic non-invasive technique for predicting organ motion in respiratory-gated radiotherapy of the chest. Int J Radiat Oncol Biol Phys 2001, 51: 25-26. 10.1016/S0360-3016(01)01868-5View ArticleGoogle Scholar
- Soete G, Verellen D, Michielsen D, Vinh-Hung V, Van de Steene J, Van den Berge D, De Roover P, Keuppens F, Storme G: Clinical use of stereoscopic X-Ray positioning of patients treated with conformal radiotherapy for prostate cancer. Int J Radiat Oncol Biol Phys 2004,54(3):948-952.View ArticleGoogle Scholar
- Frazier RC, Vicini FA, Sharpe MB, Yan D, Fayad J, Baglan KL, Kestin LL, Remouchamps VM, Martinez AA, Wong JW: Impact of breathing motion on whole breast radiotherapy: a dosimetric analysis using active breathing control. Int J Radiat Oncol Biol Phys 2004,58(4):1041-1047. 10.1016/j.ijrobp.2003.07.005View ArticlePubMedGoogle Scholar
- Hoisak JD, Sixel KE, Tiron R, Cheung PCF, Pignol J-P: Correlation of lung tumor motion with external surrogate indicators of respiration. Int J Radiat Oncol Biol Phys 2004, 60: 298-1306.View ArticleGoogle Scholar
- Senthilkumar S, Ramakrishnan V: In-house auto cutoff sensor device for radiotherapy machine to monitor patient movements. JACMP 2008,9(3):82-89.Google Scholar
- Cherpak AJ, Cygler JE, Andrusyk S, Pantarotto J, MacRae R, Perry G: Clinical use of a novel in vivo 4 D monitoring system for simultaneous patient motion and dose measurements. Radiother Oncol 2012, 102: 290-296. 10.1016/j.radonc.2011.08.021View ArticlePubMedGoogle Scholar
- Juhler Nøttrup T, Korreman SS, Pedersen AN, Aarup LR, Nyström H, Olsen M, Specht L: Intra- and interfraction breathing variations during curative radiotherapy for lung cancer. Radiother Oncol 2007, 84: 40-48. 10.1016/j.radonc.2007.05.026View ArticlePubMedGoogle Scholar
- Gierga DP, Brewer J, Sharp GC, Betke M, Willett CG, Chen GT: The correlation between internal and external markers for abdominal tumors: implications for respiratory gating. Int J Radiat Oncol Biol Phys 2005, 61: 1551-1558. 10.1016/j.ijrobp.2004.12.013View ArticlePubMedGoogle Scholar
- Hoisak JDP, Sixela KE, Tironac R, Cheung PCF, Pignol J-P: Prediction of lung tumour position based on spirometry and on abdominal displacement: accuracy and reproducibility. Radiother Oncol 2006, 78: 339-346. 10.1016/j.radonc.2006.01.008View ArticlePubMedGoogle Scholar
- Adamson J, Wu Q: Prostate intrafraction motion evaluation using kV fluoroscopy during treatment delivery: A feasibility and accuracy study. Med Phys 2008,35(5):1793-1806. 10.1118/1.2899998PubMed CentralView ArticlePubMedGoogle Scholar
- Willoughby TR, Kupelian PA, Pouliot J, Shinohara K, Aubin M, Roach M, Skrumeda LL, Balter JM, Litzenberg DW, Hadley SW, Wei JT, Sandler HM: Target localization and real-time tracking using the Calypso 4D localization system in patients with localized prostate cancer. Int J Radiat Oncol Biol Phys 2006, 65: 528-534. 10.1016/j.ijrobp.2006.01.050View ArticlePubMedGoogle Scholar
- Poggi MM, Gant DA, Sewchand W, Warlick WB: Marker seed migration in prostate localization. Int J Radiat Oncol Biol Phys 2003,56(5):1248-1251. 10.1016/S0360-3016(03)00328-6View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.