the algorithm used for dose calculation plays a very important role in delivery of dose to patients undergoing radiation treatment . the beam configuration of analytical anisotropic algorithm ( aaa ) involves precalculated monte carlo data to determine all parameters to match the measured beam data . the aaa calculation uses accurate monte carlo - based three - dimensional pencil beam convolution superimposition for inhomogeneity correction . type  a  was proposed by kns et al . which were based on measurements and accounts for correction for patient contours and heterogeneities . b  was proposed by ojala et al . which were based on superposition and convolution techniques . the algorithm , acuros xb ( axb ) , based on linear boltzmann transport equation which was first implemented in the eclipse treatment planning system ( tps ) by varian medical systems , inc . , ( palo alto , ca , usa ) . comes under more accurate type the origin of axb algorithm designed for radiotherapy dose calculations is transpire , inc . , ( gig harbor , wa , usa ) . lloyd and ansbacher showed that the performance of axb was better than existing clinical algorithm , aaa in high - density materials . kan et al . showed the importance of options for dose to medium and dose to water in axb in bone in the treatment of nasopharyngeal carcinoma by intensity modulated radiotherapy ( imrt ) and rapidarc . showed that voxel monte carlo algorithm and axb were better than aaa in stereotactic body radiotherapy ( sbrt ) of the lung . similarly , liu et al . showed that advantage of acuros over aaa for treatment of sbrt lung . there were contradictory results on studies of lung cancers for planning target volume ( ptv ) coverage as well as sparing of the normal lung . jiang et al . reported that volumetric modulated arc therapy ( vmat ) was better than imrt with better ptv coverage and sparing of normal lung by evaluating v20 , v30 , and mean dose ( dmean ) for the lung . ong et al . reported that imrt was better than vmat by evaluating v5 for the lung . the current study evaluated the differences in ptv coverage and in sparing of oars when using the two different dose calculation algorithms aaa and axb in imrt . a 6 mv linear accelerator , clinac 600c ( varian , palo alto , ca , usa ) having forty - pairs multi - leaf collimator ( mlc ) with each leaf projecting 1 cm width at isocenter was used for the delivery of radiation treatments . a cohort of 15 patients diagnosed with non - small cell carcinoma of the left lung was taken for the study . thermoplastic sheet ( orfit ) was used for immobilizing the patients . a philips ( big bore ) computed tomography ( ct ) scanner was utilized for imaging patients , and ct images of 3-mm slice thickness were acquired with the patients lying in supine position . the ct images were transferred to the eclipse tps , version 13.6 ( varian medical systems , palo alto , ca , usa ) . the gross target volume ( gtv ) , clinical target volume , the ptv , and the organs at risks ( oars ) were contoured on the ct images by a qualified radiation oncologist following the guidelines of the international commission on radiation units and measurements report 83 . since the tumor was at the left side , the beams were selected from the left side only . initially , the plans were created in aaa using imrt technique with a grid size of 2.5 mm , and 7 mm margin was given around the gtv to account for lung motion during the treatment . for this , a template of dose constraints was created , and plan optimization was done using the created template . in addition , these constraints were changed to obtain minimum possible dose to critical organs without compromising the ptv coverage of at least 95% dose to 95% of ptv volume . one more set of plans was created using axb algorithm , only by performing recalculation without doing any reoptimization . thereby , in both the plans ( aaa and axb ) , all the plan parameters , namely , beam shape , beam angle , beam weight , number of beams , prescribed dose , normalization point , region of interest constraints , number of monitor units ( mus ) , and plan optimization were kept constant , and only the calculation algorithm was changed . the dose distributions in the ptv and the oars in both the sets of plans were compared . planning target volume and organs at risks - dose constraints for treatment planning the plans were evaluated and compared on the basis of following dosimetric parameters , namely , target coverage , dose to oars , homogeneity index ( hi ) , and conformity index ( ci ) . in the current study , hi was evaluated using the formula : where d5 is dose to 5% of volume of ptv and d95 is dose to 95% of volume of ptv . a value of hi closer to 1 points to a more homogeneous dose inside the ptv . ci was evaluated using the formula ci = ( tv95/v95 )  ( tv95/tv ) . where tv95 is the volume of ptv receiving 95% of prescribed dose , v95 is the volume of tissue receiving 95% of prescribed dose , and tv is the volume of ptv . a value of ci closer to 1 represents more a conformal dose around ptv with less spillage of dose . statistical analysis of the data sets for the two algorithms was done using paired , two - tailed t - test and computing the p value . when p < 0.05 , the difference between the two algorithms was considered as significant . the plans were evaluated and compared on the basis of following dosimetric parameters , namely , target coverage , dose to oars , homogeneity index ( hi ) , and conformity index ( ci ) . in the current study , hi was evaluated using the formula : where d5 is dose to 5% of volume of ptv and d95 is dose to 95% of volume of ptv . a value of hi closer to 1 points to a more homogeneous dose inside the ptv . ci was evaluated using the formula ci = ( tv95/v95 )  ( tv95/tv ) . where tv95 is the volume of ptv receiving 95% of prescribed dose , v95 is the volume of tissue receiving 95% of prescribed dose , and tv is the volume of ptv . a value of ci closer to 1 represents more a conformal dose around ptv with less spillage of dose . statistical analysis of the data sets for the two algorithms was done using paired , two - tailed t - test and computing the p value . when p < 0.05 , the difference between the two algorithms was considered as significant . mean of ptv was found to be 203.69 cc with standard deviation ( sd : 84 cc ) . mean values of oars were left lung - gtv , 1163 cc ( sd : 363 cc ) , contralateral lung , 1612 cc ( sd : 564 cc ) , heart , 482 cc ( sd : 202 cc ) , and spinal cord , 35.5 cc ( sd : 18 cc ) , respectively . location and volume of planning target volume for 15 cases tables 3 and 4 show the differences between the doses calculated by aaa and by axb . figure 2 shows the deviation in mean dose ( dmean ) for both the algorithms . comparison of planning target volume coverage for analytical anisotropic algorithm versus acuros xb algorithm using intensity modulated radiotherapy technique comparison of organs at risk doses for analytical anisotropic algorithm versus acuros xb algorithm using intensity modulated radiotherapy technique the difference between dose coverage to planning target volume for a representative patient ( left side : analytical anisotropic algorithm and right side : acuros ) percent deviation in mean dose for analytical anisotropic algorithm versus acuros for 15 cases . the x - axis represents case number of the various assessed dose - volume parameters for ptv , d95 , maximum dose dmax , tv95% , and hi showed statistical significance between aaa and axb algorithms ( p = 0.01 , 0.00 , 0.01 and 0.04 ) . similarly , among the several assessed dose - volume parameters for various oars , significant differences between the two algorithms were observed only for v5 , v20 and v30 in left lung - gtv , dmean in right lung , d33 in heart , and dmax in spine ( p = 0.00 , 0.00 , 0.00 , 0.00 and 0.00 respectively ) as shown in table 4 . dose at 95% of ptv , volume of ptv receiving 95% of dose , and hi were overestimated in aaa compared to axb as reported previously . our results are comparable to that of rana et al . who showed that more number of mus are required for axb to achieve similar target coverage in comparison to that of aaa . this typical dose coverage to ptv showing the difference in both algorithms is shown in figure 1 for a representative patient . as the plans were recalculated with the same number of mus in both the algorithms ( axb and aaa ) , ptv coverage at 95% level with aaa was good whereas it was not so with axb . this can be also seen by observing the variation in percent deviation in dmean for aaa versus axb from figure 2 . even though there is a statistical significance between aaa versus axb , the mean difference is very small for ptv coverage as shown in table 3 . similarly , from table 4 , it can be observed that the oar doses were slightly underestimated in case of normal lung ( represents air ) and slightly overestimated in case of the heart ( represents muscle ) and spine ( represents bone ) in aaa compared to axb . even though statistical significance does exist for v5 , v10 , v30 of ( lt.lung-gtv ) , rt.lung ( dmean ) , heart ( d33 ) , heart ( dmean ) and spine ( dmax ) , the difference between the two algorithms is less than 3% . accuracy of axb over aaa is well documented in literature . a limited study done by us , varying the size of ptv and oar did not show any significant difference between the two algorithms . this study concludes that overall minor overestimation of ptv coverage in aaa compared to axb algorithm . in case of oar doses , mixed results were observed . doses to the normal lung were slightly underestimated , and doses to the heart and spine were slightly overestimated in aaa compared to axb . even though statistically significant differences were observed between the two algorithms ,
the aim of the present study was to investigate the dose - volume variations of planning target volume ( ptv ) and organs at risks ( oars ) in 15 left lung cancer patients comparing analytical anisotropic algorithm ( aaa ) versus acuros xb algorithm . 
 originally , all plans were created using aaa with a template of dose constraints and optimization parameters , and the patients were treated using intensity modulated radiotherapy . in addition , another set of plans was created by performing only dose calculations using acuros algorithm without doing any reoptimization . 
 thereby , in both set of plans , the entire plan parameters , namely , beam angle , beam weight , number of beams , prescribed dose , normalization point , region of interest constraints , number of monitor units , and plan optimization were kept constant . 
 the evaluated plan parameters were ptv coverage at dose at 95% volume ( tv95 ) of ptv ( d95 ) , the dose at 5% of ptv ( d5 ) , maximum dose ( dmax ) , the mean dose ( dmean ) , the percent volume receiving 5 gy ( v5 ) , 20 gy ( v20 ) , 30 gy ( v30 ) of normal lung at risk ( left lung- gross target volume [ gtv ] , the dose at 33% volume ( d33 ) , at 67% volume ( d67 ) , and the dmean ( gy ) of the heart , the dmax of the spinal cord . 
 furthermore , homogeneity index ( hi ) and conformity index were evaluated to check the quality of the plans . 
 significant statistical differences between the two algorithms , p < 0.05 , were found in d95 , dmax , tv95 , and hi of ptv . 
 furthermore , significant statistical differences were found in the dose parameters for the oars , namely , v5 , v20 , and v30 of left lung - gtv , right lung ( dmean ) , d33 , and dmean of the heart , and dmax of the spine , respectively . 
 although statistical differences do exist , the magnitude of the differences is too small to cause any clinically observable effect .