4.6 Article

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

Journal

MEDICAL PHYSICS
Volume 49, Issue 1, Pages 756-767

Publisher

WILEY
DOI: 10.1002/mp.15365

Keywords

acute hematologic toxicity; bone marrow; cervical cancer; dose-volume parameter; normal tissue complication probability model

Funding

  1. National Natural Science Foundation of China [82172072]
  2. Natural Science Foundation of Shandong Province [ZR2020LZL001]
  3. Department of Science and Technology of Shandong Province [2018GDF118237]
  4. Taishan Scholar Foundation of Shandong Province [tsqn201909140]
  5. National Key Research and Development Program of China (973 Program) [2016YFC105106]

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This study aimed to identify dosimetric parameters associated with acute hematological toxicity in cervical cancer patients receiving radiation therapy and chemotherapy, and found an NTCP model associated with hematological toxicity. The results showed that the volume of pelvic bone marrow was closely related to hematological toxicity, with NTCP being a stronger predictor of toxicity.
Purpose To identify dosimetric parameters associated with acute hematological toxicity (HT) and identify the corresponding normal tissue complication probability (NTCP) model in cervical cancer patients receiving helical tomotherapy (Tomo) or fixed-field intensity-modulated radiation therapy (ff-IMRT) in combination with chemotherapy, that is, concurrent chemoradiotherapy (CCRT) using the Lyman-Kutcher-Burman normal tissue complication probability (LKB-NTCP) model. Methods Data were collected from 232 cervical cancer patients who received Tomo or ff-IMRT from 2015 to 2018. The pelvic bone marrow (PBM) (including the ilium, pubes, ischia, acetabula, proximal femora, and lumbosacral spine) was contoured from the superior boundary (usually the lumbar 5 vertebra) of the planning target volume (PTV) to the proximal end of the femoral head (the lower edge of the ischial tubercle). The parameters of the LKB model predicting >= grade 2 hematological toxicity (Radiation Therapy Oncology Group [RTOG] grading criteria) (TD50(1), m, and n) were determined using maximum likelihood analyses. Univariate and multivariate logistic regression analyses were used to identify correlations between dose-volume parameters and the clinical factors of HT. Results In total, 212 (91.37%) patients experienced >= grade 2 hematological toxicity. The fitted normal tissue complication probability model parameters were TD50(1) = 38.90 Gy (95%CI, [36.94, 40.96]), m = 0.13 (95%CI [0.12, 0.16]), and n = 0.04 (95%CI [0.02, 0.05]). Per the univariate analysis, the NTCP (the use of LKB-NTCP with the set of model parameters found, p = 0.023), maximal PBM dose (p = 0.01), mean PBM dose (p = 0.021), radiation dose (p = 0.001), and V16-53 (p < 0. 05) were associated with >= grade 2 HT. The NTCP (the use of LKB-NTCP with the set of model parameters found, p = 0.023; AUC = 0.87), V-16,V- V-17,V- and V-18 >= 79.65%, 75.68%, and 72.65%, respectively (p < 0.01, AUC = 0.66 similar to 0.68), V-35 and V-36 >= 30.35% and 28.56%, respectively (p < 0.05; AUC = 0.71), and V-47 >= 13.43% (p = 0.045; AUC = 0.80) were significant predictors of >= grade 2 hematological toxicity from the multivariate logistic regression analysis. Conclusions The volume of the PBM of patients treated with concurrent chemoradiotherapy and subjected to both low-dose (V16-18) and high-dose (V-35,V-36 and V-47) irradiation was associated with hematological toxicity, depending on the fractional volumes receiving the variable degree of dosage. The NTCP were stronger predictors of toxicity than V16-18, V-35,V- 36, and V-47. Hence, avoiding radiation hot spots on the PBM could reduce the incidence of severe HT.

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