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Development of the DVH management software for the biologically-guided evaluation of radiotherapy plan.

Kim B, Park HC, Oh D, Shin EH, Ahn YC, Kim J, Han Y - Radiat Oncol J (2012)

Bottom Line: The graphical tool was developed to present the complication histogram derived from the pre-existing database (DVH and RP) and was implemented into the radiation treatment planning (RTP) system, Pinnacle(3) v8.0 (Phillips Healthcare).The software was designed for the pre-existing database to be updated easily by tagging the specific DVH data with the new incidence of RP events at the time of patients' follow-up.We developed the DVH management software as an effective tool to incorporate the phenomenological consequences derived from the pre-existing database in the evaluation of a new RT plan.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

ABSTRACT

Purpose: To develop the dose volume histogram (DVH) management software which guides the evaluation of radiotherapy (RT) plan of a new case according to the biological consequences of the DVHs from the previously treated patients.

Materials and methods: We determined the radiation pneumonitis (RP) as an biological response parameter in order to develop DVH management software. We retrospectively reviewed the medical records of lung cancer patients treated with curative 3-dimensional conformal radiation therapy (3D-CRT). The biological event was defined as RP of the Radiation Therapy Oncology Group (RTOG) grade III or more.

Results: The DVH management software consisted of three parts (pre-existing DVH database, graphical tool, and Pinnacle(3) script). The pre-existing DVH data were retrieved from 128 patients. RP events were tagged to the specific DVH data through retrospective review of patients' medical records. The graphical tool was developed to present the complication histogram derived from the pre-existing database (DVH and RP) and was implemented into the radiation treatment planning (RTP) system, Pinnacle(3) v8.0 (Phillips Healthcare). The software was designed for the pre-existing database to be updated easily by tagging the specific DVH data with the new incidence of RP events at the time of patients' follow-up.

Conclusion: We developed the DVH management software as an effective tool to incorporate the phenomenological consequences derived from the pre-existing database in the evaluation of a new RT plan. It can be used not only for lung cancer patients but also for the other disease site with different toxicity parameters.

No MeSH data available.


Related in: MedlinePlus

Graphical plotting of a current dose volume histogram (DVH) data superimposed on the pre-existing DVHs, cut-off values, and the complication histogram represented by graphical tool of DVH management software. (A) Lung DVHs of a new radiation therapy (RT) plan superimposed on the DVHs tagged with RP events and the cut-off values from the receiver operative characteristic (ROC) analysis. Red (blue) color shows DVH data of patients with (without) radiation pneumonitis (RP) event. White solid line indicates the interpolation of the cut-off values and '+' points are DVH data currently evaluted in the new RT plan. (B) Lung DVHs of a new RT plan superimposed on the complication histogram and the cut-off values from the ROC analysis. Atlas of complication histogram is expressed as a color map using the change of brightness. The highier the complication rate is, the color is getting brighter.
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Figure 2: Graphical plotting of a current dose volume histogram (DVH) data superimposed on the pre-existing DVHs, cut-off values, and the complication histogram represented by graphical tool of DVH management software. (A) Lung DVHs of a new radiation therapy (RT) plan superimposed on the DVHs tagged with RP events and the cut-off values from the receiver operative characteristic (ROC) analysis. Red (blue) color shows DVH data of patients with (without) radiation pneumonitis (RP) event. White solid line indicates the interpolation of the cut-off values and '+' points are DVH data currently evaluted in the new RT plan. (B) Lung DVHs of a new RT plan superimposed on the complication histogram and the cut-off values from the ROC analysis. Atlas of complication histogram is expressed as a color map using the change of brightness. The highier the complication rate is, the color is getting brighter.

Mentions: The second function is a graphical tool, which enables the superimposition of cumulative normal lung DVH of a new case being evaluated on the pre-existing DVH data. Pre-existing DVHs of patients who suffered from RP are discriminated from those of patients without RP by color on the plot (Fig. 2A). The complication histogram, which is the incidence of complication on each bin of DVH space, was depicted in color brightness (Fig. 2B). Also, the cut-off values for incidence of RP event were plotted on the same graph to reference each dose step. The graphical tool was coded using a IDL 6.4 (ITT, Boulder, CO, USA). After compiling, the execution file was stored in the same directory where the pre-existing DVH database was located.


Development of the DVH management software for the biologically-guided evaluation of radiotherapy plan.

Kim B, Park HC, Oh D, Shin EH, Ahn YC, Kim J, Han Y - Radiat Oncol J (2012)

Graphical plotting of a current dose volume histogram (DVH) data superimposed on the pre-existing DVHs, cut-off values, and the complication histogram represented by graphical tool of DVH management software. (A) Lung DVHs of a new radiation therapy (RT) plan superimposed on the DVHs tagged with RP events and the cut-off values from the receiver operative characteristic (ROC) analysis. Red (blue) color shows DVH data of patients with (without) radiation pneumonitis (RP) event. White solid line indicates the interpolation of the cut-off values and '+' points are DVH data currently evaluted in the new RT plan. (B) Lung DVHs of a new RT plan superimposed on the complication histogram and the cut-off values from the ROC analysis. Atlas of complication histogram is expressed as a color map using the change of brightness. The highier the complication rate is, the color is getting brighter.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC3475962&req=5

Figure 2: Graphical plotting of a current dose volume histogram (DVH) data superimposed on the pre-existing DVHs, cut-off values, and the complication histogram represented by graphical tool of DVH management software. (A) Lung DVHs of a new radiation therapy (RT) plan superimposed on the DVHs tagged with RP events and the cut-off values from the receiver operative characteristic (ROC) analysis. Red (blue) color shows DVH data of patients with (without) radiation pneumonitis (RP) event. White solid line indicates the interpolation of the cut-off values and '+' points are DVH data currently evaluted in the new RT plan. (B) Lung DVHs of a new RT plan superimposed on the complication histogram and the cut-off values from the ROC analysis. Atlas of complication histogram is expressed as a color map using the change of brightness. The highier the complication rate is, the color is getting brighter.
Mentions: The second function is a graphical tool, which enables the superimposition of cumulative normal lung DVH of a new case being evaluated on the pre-existing DVH data. Pre-existing DVHs of patients who suffered from RP are discriminated from those of patients without RP by color on the plot (Fig. 2A). The complication histogram, which is the incidence of complication on each bin of DVH space, was depicted in color brightness (Fig. 2B). Also, the cut-off values for incidence of RP event were plotted on the same graph to reference each dose step. The graphical tool was coded using a IDL 6.4 (ITT, Boulder, CO, USA). After compiling, the execution file was stored in the same directory where the pre-existing DVH database was located.

Bottom Line: The graphical tool was developed to present the complication histogram derived from the pre-existing database (DVH and RP) and was implemented into the radiation treatment planning (RTP) system, Pinnacle(3) v8.0 (Phillips Healthcare).The software was designed for the pre-existing database to be updated easily by tagging the specific DVH data with the new incidence of RP events at the time of patients' follow-up.We developed the DVH management software as an effective tool to incorporate the phenomenological consequences derived from the pre-existing database in the evaluation of a new RT plan.

View Article: PubMed Central - PubMed

Affiliation: Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.

ABSTRACT

Purpose: To develop the dose volume histogram (DVH) management software which guides the evaluation of radiotherapy (RT) plan of a new case according to the biological consequences of the DVHs from the previously treated patients.

Materials and methods: We determined the radiation pneumonitis (RP) as an biological response parameter in order to develop DVH management software. We retrospectively reviewed the medical records of lung cancer patients treated with curative 3-dimensional conformal radiation therapy (3D-CRT). The biological event was defined as RP of the Radiation Therapy Oncology Group (RTOG) grade III or more.

Results: The DVH management software consisted of three parts (pre-existing DVH database, graphical tool, and Pinnacle(3) script). The pre-existing DVH data were retrieved from 128 patients. RP events were tagged to the specific DVH data through retrospective review of patients' medical records. The graphical tool was developed to present the complication histogram derived from the pre-existing database (DVH and RP) and was implemented into the radiation treatment planning (RTP) system, Pinnacle(3) v8.0 (Phillips Healthcare). The software was designed for the pre-existing database to be updated easily by tagging the specific DVH data with the new incidence of RP events at the time of patients' follow-up.

Conclusion: We developed the DVH management software as an effective tool to incorporate the phenomenological consequences derived from the pre-existing database in the evaluation of a new RT plan. It can be used not only for lung cancer patients but also for the other disease site with different toxicity parameters.

No MeSH data available.


Related in: MedlinePlus