TY - JOUR
T1 - OC-0632 Radiotherapy-related lymphopenia affects overall survival in patients with lung cancer
AU - Abravan, Azadeh
AU - Faivre-Finn, Corinne
AU - Kennedy, Jason
AU - Mcwilliam, Alan
AU - Van Herk, Marcel
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Purpose or Objective
Lymphopenia during radiotherapy (RT) has an adverse
effect on patient’s quality of life and can be life
threatening. However, the relationship between RT dose
and lymphopenia is still unknown. This work utilized data
mining to identify anatomical regions where the received
dose is correlated with lymphopenia. A predictive model
of lymphopenia is also proposed.
Material and Methods
562 lung cancer patients treated with curative intent RT
were used as a development set. All patients had baseline
lymphocytes ≥ 0.5x109
/L. A Cox model was used to assess
prognostic factors of overall survival. Next, two matched
groups were defined - patients with and without
lymphopenia ≥ G3 (lymphocytes at nadir < 0.5x109
/L
according to CTCAE v4.0) - based on planning target
volume (PTV), baseline lymphocytes, prescribed dose, and
histology. The purpose of matching was to eliminate tumor
effects and improve data mining sensitivity. Following
matching, 386 patients remained and image-based data
mining was used to identify regions where dose correlates
significantly with lymphopenia ≥ G3. For that purpose,
dose matrices (equivalent dose at 2 Gy/fraction, α/β=10)
were aligned using registration of the planning CT images
to one reference patient. Then, mean dose distributions
were obtained for the two groups and organs of
significance were detected. For these organs, various dose
parameters were collected and those having the highest
correlation with lymphocytes at nadir were selected for
analysis. Multivariate analyses were conducted for the full
development set by employing the identified dose
parameters, along with non-dosimetric parameters
significant in univariate analysis (p < 0.05). Finally, the
model was validated on 301 esophageal cancer patients.
Results
Cox regression showed that lymphopenia ≥ G3 in addition
to age, PTV, performance status, and RT duration was an
independent factor predicting overall survival in lung
cancer (Figure 1). The heart, lung, and thoracic vertebrae
showed regions where the difference in dose between the
matched groups, with and without lymphopenia ≥ G3, was
significant. Mean dose to the heart and lung, and V20 of
the thoracic vertebrae (volume receiving >20 Gy)
correlated most with lymphocyte counts at nadir in the
matched set. A model including RT duration, baseline
lymphocytes, vertebrae V20, and mean heart dose was then
chosen following backward elimination (Table 1). The
Hosmer-Lemeshow test, based on deciles of risk, indicated
that the model was a good fit. Accuracy and C-statistics of
the model in the development set was 75% and 0.82 and
in the validation set was 75% and 0.76, respectively.
Conclusion
Lymphopenia ≥ G3 during RT is a significant risk factor for
survival in lung cancer patients and careful management
is thus required e.g. by minimizing vertebrae V20 and mean
heart dose in order to limit irradiation of stem cells and
blood pool. If dose constraints cannot be met, more
frequent monitoring of lymphocyte counts during therapy
and use of prophylactic antibiotics are recommended.
AB - Purpose or Objective
Lymphopenia during radiotherapy (RT) has an adverse
effect on patient’s quality of life and can be life
threatening. However, the relationship between RT dose
and lymphopenia is still unknown. This work utilized data
mining to identify anatomical regions where the received
dose is correlated with lymphopenia. A predictive model
of lymphopenia is also proposed.
Material and Methods
562 lung cancer patients treated with curative intent RT
were used as a development set. All patients had baseline
lymphocytes ≥ 0.5x109
/L. A Cox model was used to assess
prognostic factors of overall survival. Next, two matched
groups were defined - patients with and without
lymphopenia ≥ G3 (lymphocytes at nadir < 0.5x109
/L
according to CTCAE v4.0) - based on planning target
volume (PTV), baseline lymphocytes, prescribed dose, and
histology. The purpose of matching was to eliminate tumor
effects and improve data mining sensitivity. Following
matching, 386 patients remained and image-based data
mining was used to identify regions where dose correlates
significantly with lymphopenia ≥ G3. For that purpose,
dose matrices (equivalent dose at 2 Gy/fraction, α/β=10)
were aligned using registration of the planning CT images
to one reference patient. Then, mean dose distributions
were obtained for the two groups and organs of
significance were detected. For these organs, various dose
parameters were collected and those having the highest
correlation with lymphocytes at nadir were selected for
analysis. Multivariate analyses were conducted for the full
development set by employing the identified dose
parameters, along with non-dosimetric parameters
significant in univariate analysis (p < 0.05). Finally, the
model was validated on 301 esophageal cancer patients.
Results
Cox regression showed that lymphopenia ≥ G3 in addition
to age, PTV, performance status, and RT duration was an
independent factor predicting overall survival in lung
cancer (Figure 1). The heart, lung, and thoracic vertebrae
showed regions where the difference in dose between the
matched groups, with and without lymphopenia ≥ G3, was
significant. Mean dose to the heart and lung, and V20 of
the thoracic vertebrae (volume receiving >20 Gy)
correlated most with lymphocyte counts at nadir in the
matched set. A model including RT duration, baseline
lymphocytes, vertebrae V20, and mean heart dose was then
chosen following backward elimination (Table 1). The
Hosmer-Lemeshow test, based on deciles of risk, indicated
that the model was a good fit. Accuracy and C-statistics of
the model in the development set was 75% and 0.82 and
in the validation set was 75% and 0.76, respectively.
Conclusion
Lymphopenia ≥ G3 during RT is a significant risk factor for
survival in lung cancer patients and careful management
is thus required e.g. by minimizing vertebrae V20 and mean
heart dose in order to limit irradiation of stem cells and
blood pool. If dose constraints cannot be met, more
frequent monitoring of lymphocyte counts during therapy
and use of prophylactic antibiotics are recommended.
U2 - 10.1016/S0167-8140(19)31052-7
DO - 10.1016/S0167-8140(19)31052-7
M3 - Meeting Abstract
SN - 0167-8140
SP - S336-S337
JO - Radiotherapy & Oncology
JF - Radiotherapy & Oncology
ER -