Comparing different NTCP models that predict the incidence of radiation pneumonitis. Normal tissue complication probability

Feasibility of sparing lung and other thoracic structures with intensity-modulated radiotherapy for non-small-cell lung cancer

PURPOSE

To investigate the possibility of using intensity-modulated radiotherapy (IMRT) to reduce the irradiated volumes of the normal lung and other critical structures in the treatment of non-small-cell lung cancer (NSCLC) and to investigate the effect of IMRT on the potential of spreading low doses to large volumes of normal tissues in such treatment.

METHODS AND MATERIALS

A retrospective treatment planning study was performed to compare IMRT and conventional three-dimensional conformal radiation therapy (3D-CRT) for 10 NSCLC patients (Stage I-IIIB). In the IMRT plans, three to nine coplanar beams were designed to treat 95% of the planning target volume with 63 Gy and to minimize the volumes of the normal lung, esophagus, heart, and spinal cord irradiated above their tolerance doses. The two types of plans were compared with respect to the planning target volume coverage, dose-volume histograms, and other dosimetric indexes of the normal structures.

RESULTS

Comparing the nine-beam IMRT plan with the 3D-CRT plan, the percentage of lung volume that received >20 Gy and the mean lung dose were reduced for all cases, with a median reduction of 8% and 2 Gy, respectively. An additional reduction of the >5-Gy volume and >10-Gy volume for the lung and thoracic tissue was more difficult with IMRT, although still possible using fewer beams in IMRT. The integral dose to the entire thorax was equivalent and even reduced for 8 of 10 cases using IMRT.

CONCLUSION

It is possible to reduce the volumes of low doses (such as the >10-Gy volume and >20-Gy volume) for thoracic normal tissues using IMRT. The increased integral dose and low-dose volumes can be avoided for IMRT if such concerns are addressed carefully in the inverse planning process and with optimization of the IMRT beam configuration.

Advanced radiation treatment planning and delivery approaches for treatment of lung cancer

Great technologic progress has been made in the last decade in the radiation treatment of lung cancer. In particular, the widespread use of 3D conformal therapy has the potential to escalate the dose to the tumor while sparing dose to normal tissue. Current technology, however, has yet to impact local control and survival. It could be hypothesized that this is due to geographic misses because of poor target definition, movement of the tumor due to respiration, and dose/ fractionation levels. Several emerging technologies that are described in this article have the potential to address these problems, with results expected in the near future. The technical delivery of radiation has not reached its limit.

A TCP-NTCP estimation module using DVHs and known radiobiological models and parameter sets

Radiotherapy treatment plan evaluation relies on an implicit estimation of the tumor control probability (TCP) and normal tissue complication probability (NTCP) arising from a given dose distribution. A potential application of radiobiological modeling to radiotherapy is the ranking of treatment plans via a more explicit determination of TCP and NTCP values. Although the limited predictive capabilities of current radiobiological models prevent their use as a primary evaluative tool, radiobiological modeling predictions may still be a valuable complement to clinical experience. A convenient computational module has been developed for estimating the TCP and the NTCP arising from a dose distribution calculated by a treatment planning system, and characterized by differential (frequency) dose‐volume histograms (DDVHs). The radiobiological models included in the module are sigmoidal dose response and Critical Volume NTCP models, a Poisson TCP model, and a TCP model incorporating radiobiological parameters describing linear‐quadratic cell kill and repopulation. A number of sets of parameter values for the different models have been gathered in databases. The estimated parameters characterize the radiation response of several different normal tissues and tumor types. The system also allows input and storage of parameters by the user, which is particularly useful because of the rapidly increasing number of parameter estimates available in the literature. Potential applications of the system include the following: comparing radiobiological predictions of outcome for different treatment plans or types of treatment; comparing the number of observed outcomes for a cohort of patient DVHs to the predicted number of outcomes based on different models/parameter sets; and testing of the sensitivity of model predictions to uncertainties in the parameter values. The module thus helps to amalgamate and make more accessible current radiobiological modeling knowledge, and may serve as a useful aid in the prospective and retrospective analysis of radiotherapy treatment plans.

PACS number: 87.53.Tf

Potential for reduced toxicity and dose escalation in the treatment of inoperable non-small-cell lung cancer: a comparison of intensity-modulated radiation therapy (IMRT), 3D conformal radiation, and elective nodal irradiation

PURPOSE

To systematically evaluate four different techniques of radiation therapy (RT) used to treat non-small-cell lung cancer and to determine their efficacy in meeting multiple normal-tissue constraints while maximizing tumor coverage and achieving dose escalation.

METHODS AND MATERIALS

Treatment planning was performed for 18 patients with Stage I to IIIB inoperable non-small-cell lung cancer using four different RT techniques to treat the primary lung tumor +/- the hilar/mediastinal lymph nodes: (1) Intensity-modulated radiation therapy (IMRT), (2) Optimized three-dimensional conformal RT (3D-CRT) using multiple beam angles, (3) Limited 3D-CRT using only 2 to 3 beams, and (4) Traditional RT using elective nodal irradiation (ENI) to treat the mediastinum. All patients underwent virtual simulation, including a CT scan and (18)fluorodeoxyglucose positron emission tomography scan, fused to the CT to create a composite tumor volume. For IMRT and 3D-CRT, the target included the primary tumor and regional nodes either > or =1.0 cm in short-axis dimension on CT or with increased uptake on PET. For ENI, the target included the primary tumor plus the ipsilateral hilum and mediastinum from the inferior head of the clavicle to at least 5.0 cm below the carina. The goal was to deliver 70 Gy to > or =99% of the planning target volume (PTV) in 35 daily fractions (46 Gy to electively treated mediastinum) while meeting multiple normal-tissue dose constraints. Heterogeneity correction was applied to all dose calculations (maximum allowable heterogeneity within PTV 30%). Pulmonary and esophageal constraints were as follows: lung V(20) < or =25%, mean lung dose < or =15 Gy, esophagus V(50) < or =25%, mean esophageal dose < or =25 Gy. At the completion of all planning, the four techniques were contrasted for their ability to achieve the set dose constraints and deliver tumoricidal RT doses.

RESULTS

Requiring a minimum dose of 70 Gy within the PTV, we found that IMRT was associated with a greater degree of heterogeneity within the target and, correspondingly, higher mean doses and tumor control probabilities (TCPs), 7%-8% greater than 3D-CRT and 14%-16% greater than ENI. Comparing the treatment techniques in this manner, we found only minor differences between 3D-CRT and IMRT, but clearly greater risks of pulmonary and esophageal toxicity with ENI. The mean lung V(20) was 36% with ENI vs. 23%-25% with the three other techniques, whereas the average mean lung dose was approximately 21.5 Gy (ENI) vs. 15.5 Gy (others). Similarly, the mean esophagus V(50) was doubled with ENI, to 34% rather than 15%-18%. To account for differences in heterogeneity, we also compared the techniques giving each plan a tumor control probability equivalent to that of the optimized 3D-CRT plan delivering 70 Gy. Using this method, IMRT and 3D-CRT offered similar results in node-negative cases (mean lung and esophageal normal-tissue complication probability [NTCP] of approximately 10% and 2%-7%, respectively), but ENI was distinctly worse (mean NTCPs of 29% and 20%). In node-positive cases, however, IMRT reduced the lung V(20) and mean dose by approximately 15% and lung NTCP by 30%, compared to 3D-CRT. Compared to ENI, the reductions were 50% and >100%. Again, for node-positive cases, especially where the gross tumor volume was close to the esophagus, IMRT reduced the mean esophagus V(50) by 40% (vs. 3D-CRT) to 145% (vs. ENI). The esophageal NTCP was at least doubled converting from IMRT to 3D-CRT and tripled converting from IMRT to ENI. Finally, the total number of fractions for each plan was increased or decreased until all outlined normal-tissue constraints were reached/satisfied. While meeting all constraints, IMRT or 3D-CRT increased the deliverable dose in node-negative patients by >200% over ENI. In node-positive patients, IMRT increased the deliverable dose 25%-30% over 3D-CRT and 130%-140% over ENI. The use of 3D-CRT without IMRT increased the deliverable RT dose >80% over ENI. Using a limited number of 3D-CRT beams decreased the lung V(20), mean dose, and NTCP in node-positive patients.

CONCLUSION

The use of 3D-CRT, particul mean dose, and NTCP in node-positive patients. The use of 3D-CRT, particularly with only 3 to 4 beam angles, has the ability to reduce normal-tissue toxicity, but has limited potential for dose escalation beyond the current standard in node-positive patients. IMRT is of limited additional value (compared to 3D-CRT) in node-negative cases, but is beneficial in node-positive cases and in cases with target volumes close to the esophagus. When meeting all normal-tissue constraints in node-positive patients, IMRT can deliver RT doses 25%-30% greater than 3D-CRT and 130%-140% greater than ENI. Whereas the possibility of dose escalation is severely limited with ENI, the potential for pulmonary and esophageal toxicity is clearly increased.

Incorporating an improved dose-calculation algorithm in conformal radiotherapy of lung cancer: re-evaluation of dose in normal lung tissue

BACKGROUND AND PURPOSE

The low density of lung tissue causes a reduced attenuation of photons and an increased range of secondary electrons, which is inaccurately predicted by the algorithms incorporated in some commonly available treatment planning systems (TPSs). This study evaluates the differences in dose in normal lung tissue computed using a simple and a more correct algorithm. We also studied the consequences of these differences on the dose-effect relations for radiation-induced lung injury.

MATERIALS AND METHODS

The treatment plans of 68 lung cancer patients initially produced in a TPS using a calculation model that incorporates the equivalent-path length (EPL) inhomogeneity-correction algorithm, were recalculated in a TPS with the convolution-superposition (CS) algorithm. The higher accuracy of the CS algorithm is well-established. Dose distributions in lung were compared using isodoses, dose-volume histograms (DVHs), the mean lung dose (MLD) and the percentage of lung receiving >20 Gy (V20). Published dose-effect relations for local perfusion changes and radiation pneumonitis were re-evaluated.

RESULTS

Evaluation of isodoses showed a consistent overestimation of the dose at the lung/tumor boundary by the EPL algorithm of about 10%. This overprediction of dose was also reflected in a consistent shift of the EPL DVHs for the lungs towards higher doses. The MLD, as determined by the EPL and CS algorithm, differed on average by 17+/-4.5% (+/-1SD). For V20, the average difference was 12+/-5.7% (+/-1SD). For both parameters, a strong correlation was found between the EPL and CS algorithms yielding a straightforward conversion procedure. Re-evaluation of the dose-effect relations showed that lung complications occur at a 12-14% lower dose. The values of the TD(50) parameter for local perfusion reduction and radiation pneumonitis changed from 60.5 and 34.1 Gy to 51.1 and 29.2 Gy, respectively.

CONCLUSIONS

A simple tissue inhomogeneity-correction algorithm like the EPL overestimates the dose to normal lung tissue. Dosimetric parameters for lung injury (e.g. MLD, V20) computed using both algorithms are strongly correlated making an easy conversion feasible. Dose-effect relations should be refitted when more accurate dose data is available.

The theoretical benefit of beam fringe compensation and field size reduction for iso-normal tissue complication probability dose escalation in radiotherapy of lung cancer

To assess the benefit of beam fringe (50%-90% dose level) sharpening for lung tumors, we performed a numerical simulation in which all geometrical errors (breathing motion, random and systematic errors) are included. A 50 mm diameter lung tumor, located centrally in a lung-equivalent phantom was modeled. Treatment plans were designed with varying number and direction of beams, both with and without the use of intensity modulation to sharpen the beam fringe. Field size and prescribed dose were varied under the constraint of a constant mean lung dose of 20 Gy, which yields a predicted complication probability of about 10%. After numerical simulation of the effect of setup errors and breathing, the resulting dose distribution was evaluated using the minimum dose and the equivalent uniform dose (EUD) in the moving clinical target volume (CTV). When the dose in the CTV was constrained between 95% and 107% of the prescribed dose, the maximum attainable EUD was 71 Gy for a four-field noncoplanar technique with simple conformal beams. When penumbra sharpening was applied using a single beam segment at the edge of the open field, this EUD could be raised to 87 Gy. For a hypothetical infinitely steep penumbra, further escalation to an EUD of 104 Gy was possible. When the dose in the CTV was not constrained, a large escalation of the EUD was possible compared to the constrained case. In this case, the maximum attainable EUD for open fields was 115 Gy, using the four-field noncoplanar technique. The benefit of penumbra sharpening was only modest, with no increase of the EUD for the single-segment technique and a small increase to 125 Gy for the infinitely steep penumbra. From these results we conclude that beam fringe sharpening in combination with field-size reduction leads to a large increase in EUD when a homogeneous target dose is pursued. Further escalation of the EUD is possible when the homogeneity constrained is relaxed, but the relative benefit of beam-fringe sharpening then decreases.

Pulmonary function following high-dose radiotherapy of non-small-cell lung cancer

PURPOSE

To study changes of pulmonary function tests (PFTs) after radiotherapy (RT) of non-small-cell lung cancer (NSCLC) in relation to radiation dose, tumor regression, and changes in lung perfusion.

METHODS AND MATERIALS

Eighty-two patients with inoperable NSCLC were evaluated with PFTs (forced expiratory volume in 1 s [FEV(1)] and diffusion capacity [T(L,COc)]), a computed tomography (CT) scan of the chest, and a single photon emission CT (SPECT) lung perfusion scan, before and 3-4 months after RT. The reductions of PFTs and tumor volume were calculated. The lung perfusion was measured from pre- and post-RT SPECT scans, and the difference was defined as the measured perfusion reduction (MPR). In addition, the perfusion post-RT was estimated from the dose distribution using a dose-effect relation for regional lung perfusion, and compared with the pre-RT lung perfusion to obtain the predicted perfusion reduction (PPR). The difference between the actually measured and the PPR was defined as reperfusion. The mean lung dose (MLD) was computed and weighted with the pre-RT perfusion, resulting in the mean perfusion-weighted lung dose (MpLD). Changes of PFTs were evaluated in relation to tumor dose, MLD, MpLD, tumor regression, and parameters related to perfusion changes.

RESULTS

In a multivariate analysis, the total tumor dose and MLD were not associated with reductions of PFTs. Tumor regression resulted in a significant improvement of FEV(1) (p = 0.02), but was associated with a reduction of T(L,COc) (p = 0.05). The MpLD and the PPR showed a significant (p = 0.01 to 0.04) but low correlation (r = 0.24 to 0.31) with the reduction of both PFTs. The other parameters for perfusion changes, the MPR and reperfusion were not correlated with changes in PFTs.

CONCLUSION

The perfusion-related dose variables, the MpLD or the PPR, are the best parameters to estimate PFTs after RT. Tumor regression is associated with an improvement of FEV(1) and a decline of T(L,COc). Reperfusion was not associated with an improvement of global pulmonary function.