Literature DB >> 28003767

The benefit of using bladder sub-volume equivalent uniform dose constraints in prostate intensity-modulated radiotherapy planning.

Jian Zhu1, Antoine Simon2, Pascal Haigron2, Caroline Lafond3, Oscar Acosta4, Huazhong Shu5, Joel Castelli3, Baosheng Li1, Renaud De Crevoisier6.   

Abstract

BACKGROUND: To assess the benefits of bladder wall sub-volume equivalent uniform dose (EUD) constraints in prostate cancer intensity-modulated radiotherapy (IMRT) planning.
METHODS: Two IMRT plans, with and without EUD constraints on the bladder wall, were generated using beams that deliver 80 Gy to the prostate and 46 Gy to the seminal vesicles and were compared in 53 prostate cancer patients. The bladder wall was defined as the volume between the external manually delineated wall and a contraction of 7 mm apart from it. The bladder wall was then separated into two parts: the internal-bladder wall (bla-in) represented by the portion of the bladder wall that intersected with the planning target volume (PTV) plus 5 mm extension; the external-bladder wall (bla-ex) represented by the remaining part of the bladder wall. In the IMRT plan with EUD constraints, the values of "a" parameter for the EUD models were 10.0 for bla-in and 2.3 for bla-ex. The plans with and without EUD constraints were compared in terms of dose-volume histograms, 5-year bladder and rectum normal tissue complication probability values, as well as tumor control probability (TCP) values.
RESULTS: The use of bladder sub-volume EUD constraints decreased both the doses to the bladder wall (V70: 22.76% vs 19.65%, Dmean: 39.82 Gy vs 35.45 Gy) and the 5-year bladder complication probabilities (≥LENT/SOMA Grade 2: 20.35% vs 17.96%; bladder bleeding: 10.63% vs 8.64%). The doses to the rectum wall and the rectum complication probabilities were also slightly decreased by the EUD constraints compared to physical constraints only. The minimal dose and the V76Gy of PTVprostate were, however, slightly decreased by EUD optimization, nevertheless without significant difference in TCP values between the two plans, and the PTV parameters finally respected the Groupe d'Etude des Tumeurs Uro-Génitales recommendations.
CONCLUSION: Separating the bladder wall into two parts with appropriate EUD optimization may reduce bladder toxicity in prostate IMRT. Combining biological constraints with physical constraints in the organs at risk at the inverse planning step of IMRT may improve the dose distribution.

Entities:  

Keywords:  IMRT; equivalent uniform dose; prostate

Year:  2016        PMID: 28003767      PMCID: PMC5161391          DOI: 10.2147/OTT.S116508

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

The EUD was proposed by Niemierko in 1997 to convert a nonuniform partial dose distribution into an EUD distribution with the same cancer killing effect. In 1999, it was extended to gEUD to describe doses on normal tissues which is more comprehensive than a single dose–volume threshold for a unified description compared to the nonuniform dose distribution.1 Furthermore, since EUD can be used to describe the biological dose–volume characteristics of normal tissues by setting different parameters, it may also be used as biological constraint for IMRT optimization to spare normal tissue complications.2,3 Indeed, Wu et al4 argued that the use of merely physical objective functions (ie, dose–volume constraints) in IMRT optimization may not be fully adequate to reduce toxicity, since it does not reflect the nonlinear radio-induced normal tissue reaction, especially when the dose distribution is not uniform. Optimizing the IMRT objective function with EUD biological constraints, ie, limiting particularly the dose levels highly correlated with toxicity, may therefore strongly help to reduce the toxicity. The application of EUD constraints implies, however, the choice of a specific “a” parameter for each kind of toxicity or organ. This parameter “a”, the only one within the EUD model, is related to the “n” parameter of the LKB NTCP model with the relationship a=1/n.5 For serial organs, such as the spinal cord or the rectum, a>1 means that toxicity is mainly linked to high doses (hot spots), which are therefore to be considered with high priority at the inverse planning step of IMRT. For parallel organs, such as parotid, lung, liver and kidney, “a” close to zero means that the mean dose and cold and hot spots can be equally considered for inverse planning.1,6 With regard to prostate radiotherapy, the two most frequent toxicities are linked to the rectum and bladder irradiation. Indeed, due to the proximity of the anatomical structures, the posterior and the superior part of the PTV (with margins ≥5 mm) overlapped with the rectum and the bladder wall, respectively, generating a conflict to respect the dose constraints in both the PTV and the OARs. The amount of overlap volume between PTV and bladder or rectum adversely affects sparing of that organ, though other metrics of plan quality are less affected.7 A medical choice needs to balance either in favor of limiting toxicity or toward increasing local control. Depending on the prescribed total dose to the prostate, which can range from 74 to 80 Gy, and in order to spare more OARs, some compromise with a lower dose to the PTV overlapped with rectum and bladder,8 while some may also assign different physical dose constraints to the OARs by subdividing the target area into “inside” and “outside” regions.9 However, specific biological constraints could be used in these PTV-OAR overlapped sub-volumes to optimize this compromise. Although the “n” value of the EUD model is relatively well identified for the rectal toxicity (range: 0.06–0.24),10 the “n” value for the bladder is still intangible due to its geometric uncertainties.11 The majority of the studies12–20 suggest bladder as a “serial” organ, its toxicity, mainly urgency and obstruction, being related to the highest dose delivered within the trigone region. On the other hand, some studies21–23 found bladder as a mixed “serial–parallel” organ because severe urinary toxicity is related to both low (10 Gy) and high (80 Gy) doses delivered to the bladder. The QUANTEC (QUAntitative Normal TissuE models in the Clinic)24 investigation concluded “prudently” that both maximum dose and a relatively large irradiated bladder volume (50%) may correlate with bladder toxicity (Grade ≥3 late RTOG [Radiation Therapy Oncology Group]). In this study, we assumed that bladder toxicities may be linked with differently irradiated bladder sub-volumes. The goal of this dosimetry study was to quantify the benefit of using such multiple bladder sub-volume EUD constraints at the inverse planning step of IMRT to decrease bladder toxicity in prostate cancer IMRT.

Materials and methods

A total of 53 patients having received IMRT for intermediate-and high-risk localized prostate adenocarcinoma were included in this dosimetry study. Ethical approval was not required by the institutional review board (IRB) of Centre Eugène Marquis, because all the patients enrolled in this study had finished radiotherapy. Only the CT images of these patients were used as the materials in this experiment. All the patients have given their consents on the usage of their CT images in this study.

CT acquisition and region of interest delineation

All patients were immobilized in the supine position with an individualized vacuum bag during the CT simulation and treatment. A thin rectal catheter was used to improve the visibility of the anal canal and the rectum. An intravenous iodine contrast CT scan was acquired from the sacroiliac joints to the lower edge of the small trochanters with a slice thickness of 3–5 mm. The OARs were defined according to the GETUG recommendations.25 The external contour of bladder was manually delineated. For the rectum, the external contour was delineated from 2 cm above to 2 cm below the CTV (clinical target volume). The bladder and rectum walls were obtained by regular two-dimensional contractions of 7 and 5 mm, respectively. The bladder wall was then separated into two parts as shown in Figure 1: bla-in represents the part of the bladder wall overlapped with the area corresponding to the PTVprostate+SV plus a 5 mm extension and bla-ex represents the remaining part of the bladder wall (outside the area including the PTVprostate+SV plus the 5 mm extension). Femoral heads were finally delineated up to the upper edge of the low trochanters.
Figure 1

Delineation of the organs of interest.

Notes: The bladder wall was divided into two parts: the internal-bladder wall (bla-in, yellow lines) and the external-bladder wall (bla-ex, blue lines). The red line corresponds to the prostate and the green one to the prostate PTV. The purple line corresponds to the seminal vesicles (SV) and the cyan one to the SV PTV.

Abbreviation: PTV, planning target volume.

EUD parameters and IMRT planning

The IMRT plans were generated by using ten 18 MV beams delivering 80 Gy to the prostate and 46 Gy to the SV in two sequential phases. Phase 1 delivered 46 Gy (2.0 Gy/fr in 23 fr) with 5 coplanar beams (36°, 100°, 180°, 260°, 324°) to the PTVprostate+SV. Based on the optimization of phase 1, phase 2 used another five beams that delivered a boost of 34 Gy (2.0 Gy/fr in 17 fr) to the PTVprostate. Both the “physical” IMRT plan (without EUD constraints; “Planphys”) and the “biological” IMRT plan (with EUD constraints, “Planbio”) were generated for each of the 53 patients, with Philips Pinnacle 3 v9.2 TPS. For Planphys, the dose constraints were defined according to the “GETUG”26 recommendations: minimum dose >72 Gy and V76Gy >95% for the PTVprostate; maximum dose (within 1.8 mL) <80 Gy and V70Gy≤50% for the bladder wall; maximum dose (within 1.8 cc) <76 Gy and V72Gy≤25% for the rectal wall; and V55Gy<5% for the femoral heads. For Planbio, dose constraints were derived from the corresponding Planphys by replacing the physical IMRT constraints of bladder wall with two “Max EUD” constraints, namely, EUDbla-in and EUDbla-ex, respectively, in a sequential approach. To evaluate the effect of EUD, only penalty weight and the objective EUD values were adjusted during the IMRT optimization process of Planbio. The toxicity of the “bla-in” was considered to be correlated with high dose delivered in a small volume, whereas for the “bla-ex”, a large irradiated volume was considered as being correlated with toxicity. Thus, the corresponding EUDbla-in and EUDbla-ex parameters were set to “a=10.0”19 and “a=2.3”, respectively.27,28 During the IMRT optimization process of Planbio, if the dose to the rectal wall was significantly increased, another “Max EUD” constraint was added for the rectal wall, with the parameter “a=5.0”.29

Dosimetry end points and statistical analysis

Planphys and Planbio were compared in terms of DVH, 5-year bladder and rectal NTCP values (overall toxicity and bleeding episode) and TCP values. To visually present the effect on dose–volume variation, the integral DVH curves of two targets (PTVprostate, PTVprostate+SV,) and four OARs (rectal wall, bladder wall, bla-ex and bla-in) were averaged from both Planphys and Planbio of all the 53 patients. These average DVH curves were calculated based on the DVH files exported from Pinnacle TPS30 and were plotted using “Matlab” software (The MathWorks, Inc., Natick, MA, USA version 8.0). The DVH end points included D2%, D50%, D95%, D98% and Dmean of PTVprostate, V70Gy, Dmax and Dmean of bladder, and V72Gy, Dmax and EUD of rectum, according to the ICRU Report 83.31 The NTCP values for bladder and rectal 5-year toxicities were calculated using an LKB model with the following parameters: TD50(1)=78.68 Gy, n=0.09, m=0.17 for bladder ≥ Grade 2 LENT/SOMA toxicity and TD50(1)=85.31 Gy, n=0.36, m=0.30 for bladder bleeding;19 TD50(1)=80.46 Gy, n=0.01, m=0.12 for rectal ≥ Grade 2 LENT/SOMA toxicity and TD50(1)=82.14 Gy, n=0.02, m=0.12 for rectal bleeding.32 To estimate the relative difference in tumor control which might reasonably be predicted between two not too dissimilar situations, the TCP values were calculated according to the model proposed by Fowler33 as follows: with where N is the total initial number of clonogenic cells, SF(D) is the surviving fraction of cells exposed to dose D in voxel k, ν is the relative volume of voxel k, α is the intrinsic radiosensitivity representing the nonrepairable radiation damage, β represents a repairable type of injury that is responsible for the dose-per-fraction effect and n is the number of treatment fractions. The following parameters were chosen: N =138,34 α=0.0391 Gy−1 and β=0.0263 Gy−2.35 In order to quantitatively assess the target coverage, the CI and HI were calculated for PTVprostate. The CI and HI were defined as follows: where V is the volume of tumor, V is the volume of tumor surrounded by the reference dose curve and V is the volume of the reference dose curve. CI therefore varies between 0 and 1. A larger CI value indicates a better conformal dose distribution;36 where D2 stands for the dose on 2% volume of the tumor and D98 stands for the dose on 98% volume of the tumor. Therefore, D2 and D98 describe the maximum and minimum dose on the tumor target, respectively. D is the prescription dose. HI varies between 0 and 1. The smaller HI value indicates a more homogeneous dose distribution on the tumor target.37 To determine the statistical significance, the Mann–Whitney test was performed and P-value <0.05 was considered to be statistically significant. All calculations were performed using the SPSS program, version 16.0.2 (SPSS Inc., Chicago, IL, USA).

Results

The integral average DVH values of tumor target and normal tissues for the 53 patients are plotted in Figure 2, where x-and y-axes indicate absolute dose (in “Gy”) and normalized percentage volume (%), respectively, with the solid curves corresponding to Planphys and the dashed curves corresponding to Planbio. The statistical comparison of the two plans is shown in Table 1.
Figure 2

Mean DVH of the physical plan and biological EUD plan.

Abbreviations: IMRT, intensity-modulated radiotherapy; bla-in, internal-bladder wall; bla-ex, external-bladder wall; DVH, dose–volume histograms; SV, seminal vesicles; EUD, equivalent uniform dose; PTV, planning target volume.

Table 1

Statistical comparison between plans without and with EUD IMRT

Organs at riskFactorsPlan without EUD optimization (Planphys)Plan with EUD optimization (Planbio)P-value
PTVprostateDminc92.99%±3.35%92.70%±3.50%0.008
V76Gya96.10%±2.15%95.15%±2.46%<0.001
D2%b83.60±2.91 Gy83.79±2.86 Gy0.125
D50%80.38±1.93 Gy80.43±1.91 Gy0.554
D95%76.75±1.75 Gy76.85±2.20 Gy0.297
D98%74.92±1.81 Gy75.06±2.32 Gy0.330
Dmean79.50±1.64 Gy79.42±1.41 Gy0.554
CI0.74±0.040.94±0.02<0.001
HI0.10±0.020.11±0.02<0.001
TCP91.12%±0.48%91.10%±0.41%0.972
Rectal wallDmaxd75.90±2.04 Gy75.19±2.17 Gy0.003
V72Gy14.35%±5.26%14.02%±5.04%0.067
EUD (a=5.0)55.94±3.61 Gy55.61±3.44 Gy0.001
NTCP 5yRTe22.77%±13.04%19.93%±7.09%0.199
NTCP 5yRblf29.51%±9.24%27.44%±8.10%0.217
Bladder wallDmaxd79.96±0.84 Gy79.63±0.81 Gy<0.001
V70Gy22.76%±10.59%19.65%±9.96%<0.001
Dmean39.82±12.73 Gy35.45±12.58 Gy<0.001
NTCP 5yBTg20.35%±6.70%17.96%±6.36%<0.001
NTCP 5yBblh10.63%±6.29%8.64%±5.50%<0.001
bla-exiEUD (a=2)33.48±8.93 Gy27.50±8.68 Gy<0.001
bla-injEUD (a=10)73.30±3.37 Gy71.23±3.71 Gy<0.001
FHkV55Gy0.04%±0.18%0.20%±0.59%0.026

Notes:

V76Gy corresponds to the 95% prescription dose on PTVprostate;

D2%, D50%, D95% and D98% are the minimum absorbed dose that covered 2%, 50%, 95% and 98% of the volume of PTVprostate, respectively;

Dmin stands for the minimum dose on target which is the relative dose of target volume minus 1.8 cc;

Dmax is the maximum dose on 1.8 cc volume;

5yRT means the overall rectal toxicity ≥LENT/SOMA Grade 2 at 5-year follow-up;31

5yRbl means the rectal bleeding event (one episode) at 5-year follow-up;31

5yBT means the overall bladder toxicity ≥LENT/SOMA Grade 2 at 5-year follow-up;19

5yBbl means the bladder bleeding event (one episode) at 5-year follow-up;19

the external-bladder wall;

the internal-bladder wall;

bilateral femoral head.

Abbreviations: CI, conformal index; IMRT, intensity-modulated radiotherapy; EUD, equivalent uniform dose; HI, homogeneity index; NTCP, normal tissue complication probability; PTV, planning target volume; TCP, tumor control probability; bla-in, internal-bladder wall; bla-ex, external-bladder wall; FH, femoral head; LENT/SOMA, late effects of normal tissues/subjective objective management analytic.

Both Table 1 and Figure 2 show that compared to Planphys, Planbio decreased significantly the bladder doses, in terms of bla-in, bla-ex and the whole bladder wall, as well as the complication probabilities. With regard to the rectal wall, only Dmax and EUD showed statistical significance while the dashed DVH line (Planbio) is closely covered above the solid line (Planphys) in the whole dose region, which at least indicates that the bladder sparing did not sacrifice rectal wall. Planbio also slightly decreased the PTV dose coverage considering V76Gy and Dmin of PTVprostate, but still met the GETUG recommendations (more than 95%). No significant difference was found in the TCP value. Figure 3 visually illustrates the effect of EUD optimization on irradiation isodose distribution around prostate target and OARs in one of the 53 cases. It is obvious that, by using EUD constraint on bla-in, the high-dose line (110% of prescription dose, red line) was specifically “expelled” out of the bladder wall and fell on the prostate tumor target area. In addition, the high-dose line did not impair the internal side of rectal wall, and the low-dose line around bla-ex also contracted toward the tumor target. However, the corresponding effect is that the dosimetry homogeneity in the target decreased as price of sparing surrounding normal tissues
Figure 3

Dose distribution comparison on tumor target between plans with or without EUD IMRT optimization.

Notes: The left figure (A) presents the dose distribution without EUD IMRT optimization, while the right figure (B) presents the dose distribution with EUD IMRT optimization. The yellow dose curve covering prostate and seminal vesicle assign for the prescription dose 76 Gy of phase 1. The green arrows indicate that the higher dose (red curve, 80 Gy) in the internal-bladder wall is expelled out of the bladder wall area. The green area corresponds to the prostate PTV.

Abbreviations: bla-in, internal-bladder wall; bla-ex, external-bladder wall; EUD, equivalent uniform dose; IMRT, intensity-modulated radiotherapy; PTV, planning target volume.

Discussion

As a “hollow” organ, the contents of the bladder may be irrelevant to estimate the risk of complications. Indeed, Harsolia et al21 argued that an analysis of the initial bladder wall volume, which is the actual biologic structure at risk, correlates more accurately with chronic genitourinary toxicity than the absolute solid volume of the bladder. In our study, only the dose distributed in the three-dimensional volume enclosed between the inner and outer surfaces of the bladder wall was optimized. This volume, belonging to the trigone area, appears to be less variable between and during the treatment fractions than the superior part of the bladder or the dome whose volume depends on the bladder filling. The main innovation of this study is applying two EUD constraints with different parameters to separated bladder sub-volumes, which comes from the assumption that bladder toxicities may be linked with differently irradiated bladder sub-volumes. Most studies12–18 found that at least one of the primary mechanisms of urinary function impairment depends on the irradiation of a “small” volume (ie, the caudal portion of bladder unavoidably included in the PTV) to a “high” dose, which indicated a serial-like behavior. Marks et al38 found that the majority of the bladder can be irradiated with ~30–50 Gy without serious complications in contrast to a small fraction of the bladder that received 60–65 Gy with serious complications. In our previous study,19 the estimated volume factor “n” of LKB NTCP model for bladder was about 0.1, which also pointed to the serial-like behavior. On the other hand, Harsolia et al21 found that a large number of points in bladder wall DVH (V10–82) correlated with chronic urinary toxicity and chronic urinary retention, which suggested a serial–parallel-like behavior. Thus, the bladder tissue located in low-dose area should also be considered by physicians and physicists. From the aforementioned debates, a single EUD parameter value to bladder may not be appropriate to present its serial–parallel characteristics in biological IMRT. Therefore, we assume the reason that although most commercial TPSs provide the biological IMRT optimization interface with EUD or NTCP, they are not widely used in the daily practice because of the intangible choice of the biological parameters. Table 1 shows that, with regard to most normal tissue factors, the plan with EUD was significantly better than the one without EUD, especially in decreasing the bladder doses as well as the related predicted toxicities. However, the negative impact on the tumor target coverage should not be ignored. Indeed, Table 1 shows that the Dmin, V76 Gy and HI of PTVprostate are significantly decreased in Planbio. The explanation is related to the PTV and OAR overlapped area, generating a conflict between the objectives. However, these slight changes in tumor targets appear to be moderate by looking at the average DVH curve (Figure 1), and all the dosimetric parameters finally fully respected the GETUG constraints. Moreover, the TCP values from physical and biological optimization schemes were not significantly different. Thus, the difference in the tumor target dose coverage may not affect the treatment benefits. Wu et al and Senthilkumar et al4,39,40 also pointed out that EUD-optimized IMRT may impact negatively on the PTV DVH curve (lower prescription dose coverage percentage and lower homogeneity versus higher hot spots on tumor). Li et al41 compared a biological IMRT optimization strategy to a physical IMRT optimization strategy among three commercial TPSs (Monaco, Pinnacle and Eclipse) and argued that although biological IMRT better spared normal tissues, the same dose coverage on target could hardly be achieved, compared to physical IMRT. This situation can also be observed in Figure 3, where the higher isodoses were “pushed” out of the bla-in and congregated in a smaller target area. The biological constraints should therefore be used with the assistance of physical constraints, especially for sparing serial organs (confining maximum dose on normal tissues). Table 1 also shows that the femoral head dose would be very slightly increased due to the beam angles, but remained very low (V55% <0.4%) without having any clinical impact. VMAT or helical tomotherapy technique may play a positive role in avoiding the femora. Considering the recent new radiotherapy equipment, such as tomotherapy and cyberknife, treatment beams are much thinner (due to the small subfields or the thin circular collimators) and have higher degrees of freedom.42,43 If the separated bladder sub-volume EUD constraints really bring the benefit of sparing the internal bladder wall, tomotherapy and cyberknife will provide more specific OAR protection by taking advantage of the accurate beam ray, especially for avoiding high-dose injury during hypofractionation or radiosurgery treatment.44

Conclusion

Bladder wall sub-volume EUD constraints may be applied in the biological IMRT optimization to reduce bladder toxicity in prostate IMRT. The use of both physical and biological constraints in the optimization process may improve the IMRT dose distribution.
  39 in total

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Authors:  Véronique Beckendorf; Stéphane Guerif; Elisabeth Le Prisé; Jean-Marc Cosset; Agnes Bougnoux; Bruno Chauvet; Naji Salem; Olivier Chapet; Sylvain Bourdain; Jean-Marc Bachaud; Philippe Maingon; Jean-Michel Hannoun-Levi; Luc Malissard; Jean-Marc Simon; Pascal Pommier; Men Hay; Bernard Dubray; Jean-Léon Lagrange; Elisabeth Luporsi; Pierre Bey
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-12-14       Impact factor: 7.038

3.  Clinical experience with intensity modulated radiation therapy (IMRT) in prostate cancer.

Authors:  M J Zelefsky; Z Fuks; L Happersett; H J Lee; C C Ling; C M Burman; M Hunt; T Wolfe; E S Venkatraman; A Jackson; M Skwarchuk; S A Leibel
Journal:  Radiother Oncol       Date:  2000-06       Impact factor: 6.280

4.  Analysis of acute radiation-induced esophagitis in non-small-cell lung cancer patients using the Lyman NTCP model.

Authors:  Jian Zhu; Zi-Cheng Zhang; Bao-Sheng Li; Min Liu; Yong Yin; Jin-Ming Yu; Li-Min Luo; Hua-Zhong Shu; Renaud De Crevoisier
Journal:  Radiother Oncol       Date:  2010-11-08       Impact factor: 6.280

5.  Random forests to predict rectal toxicity following prostate cancer radiation therapy.

Authors:  Juan D Ospina; Jian Zhu; Ciprian Chira; Alberto Bossi; Jean B Delobel; Véronique Beckendorf; Bernard Dubray; Jean-Léon Lagrange; Juan C Correa; Antoine Simon; Oscar Acosta; Renaud de Crevoisier
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-07-08       Impact factor: 7.038

6.  Development of a simultaneous boost IMRT class solution for a hypofractionated prostate cancer protocol.

Authors:  J H Mott; J E Livsey; J P Logue
Journal:  Br J Radiol       Date:  2004-05       Impact factor: 3.039

7.  Incidence of late rectal and urinary toxicities after three-dimensional conformal radiotherapy and intensity-modulated radiotherapy for localized prostate cancer.

Authors:  Michael J Zelefsky; Emily J Levin; Margie Hunt; Yoshiya Yamada; Alison M Shippy; Andrew Jackson; Howard I Amols
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-03-15       Impact factor: 7.038

Review 8.  Predictive models of toxicity with external radiotherapy for prostate cancer: clinical issues.

Authors:  Riccardo Valdagni; Tiziana Rancati; Claudio Fiorino
Journal:  Cancer       Date:  2009-07-01       Impact factor: 6.860

9.  Hypofractionated intensity-modulated radiotherapy (70 Gy at 2.5 Gy per fraction) for localized prostate cancer: Cleveland Clinic experience.

Authors:  Patrick A Kupelian; Twyla R Willoughby; Chandana A Reddy; Eric A Klein; Arul Mahadevan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-06-04       Impact factor: 7.038

10.  Stereotactic body radiation therapy (SBRT) for clinically localized prostate cancer: the Georgetown University experience.

Authors:  Leonard N Chen; Simeng Suy; Sunghae Uhm; Eric K Oermann; Andrew W Ju; Viola Chen; Heather N Hanscom; Sarah Laing; Joy S Kim; Siyuan Lei; Gerald P Batipps; Keith Kowalczyk; Gaurav Bandi; John Pahira; Kevin G McGeagh; Brian T Collins; Pranay Krishnan; Nancy A Dawson; Kathryn L Taylor; Anatoly Dritschilo; John H Lynch; Sean P Collins
Journal:  Radiat Oncol       Date:  2013-03-13       Impact factor: 3.481

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Journal:  Am J Transl Res       Date:  2022-07-15       Impact factor: 3.940

2.  Dosimetric predictors and Lyman normal tissue complication probability model of hematological toxicity in cervical cancer patients with treated with pelvic irradiation.

Authors:  Dandan Wang; Yueju Yin; Qichao Zhou; Zirong Li; Xingmin Ma; Yong Yin; Baosheng Li; Tong Bai; Dapeng Li; Jian Zhu
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5.  Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy.

Authors:  Panayiotis Mavroidis; Kevin A Pearlstein; John Dooley; Jasmine Sun; Srinivas Saripalli; Shiva K Das; Andrew Z Wang; Ronald C Chen
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