Risk factors for primary site necrosis after definitive concurrent chemoradiotherapy in head and neck cancer

2021 ◽  
pp. 030089162110598
Author(s):  
Donghyun Kim ◽  
Yongkan Ki ◽  
Wontaek Kim ◽  
Dahl Park ◽  
Jihyeon Joo ◽  
...  

Objective: To identify risk factors of primary site necrosis (PSN) after definitive concurrent chemoradiation therapy (CCRT) in patients with nonoral cavity head and neck cancer (HNC). Methods: We retrospectively reviewed the records of 256 patients treated with CCRT for HNC during 2010–2018. Patient-related (age, sex, history of smoking, hypertension, diabetes mellitus, serum hemoglobin and albumin), tumor-related (tumor site, American Joint Committee on Cancer stage), and treatment-related (induction chemotherapy, maximum point dose and mean dose of planning target volume [PTV] of primary site, absolute volumes of the PTV receiving >50–75 Gy [V50–V75]) variables were analyzed. Critical dosimetric parameters of PSN were identified using receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were used to select the significant variables for PSN development. Results: After median follow-up of 44 months (range, 5–127), 7 patients (2.7%) developed PSN with a median time to event of 10 months (range, 3–12). V70 ⩾79.8 mL was the most critical dosimetric parameter for PSN (area under the ROC curve 0.873, sensitivity 0.857, specificity 0.747). In univariate analyses, pretreatment serum hemoglobin <11.0 g/dL and V70 ⩾79.8 mL were significantly associated with higher risk of PSN occurrence. V70 ⩾79.8 mL (hazard ratio 5.960, 95% confidence interval 1.289–27.548; p = 0.022) remained significant predictors of PSN in multivariate analyses. Conclusions: V70 ⩾79.8 mL is significantly related to the risk of developing PSN. These findings offer valuable clues for clinicians to minimize PSN incidence in HNC treated with curative CCRT.

Author(s):  
Jagtar Singh ◽  
Ramya Ramamoorthi ◽  
Siddhartha Baxi ◽  
Rama` Jayaraj ◽  
Mahiban Thomas

2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Sakiko Soutome ◽  
Madoka Funahara ◽  
Saki Hayashida ◽  
Kazutaka Nakamura ◽  
Masahiro Umeda

Author(s):  
Chi-Chang Chang ◽  
Tse-Hung Huang ◽  
Pei-Wei Shueng ◽  
Ssu-Han Chen ◽  
Chun-Chia Chen ◽  
...  

Despite a considerable expansion in the present therapeutic repertoire for other malignancy managements, mortality from head and neck cancer (HNC) has not significantly improved in recent decades. Moreover, the second primary cancer (SPC) diagnoses increased in patients with HNC, but studies providing evidence to support SPCs prediction in HNC are lacking. Several base classifiers are integrated forming an ensemble meta-classifier using a stacked ensemble method to predict SPCs and find out relevant risk features in patients with HNC. The balanced accuracy and area under the curve (AUC) are over 0.761 and 0.847, with an approximately 2% and 3% increase, respectively, compared to the best individual base classifier. Our study found the top six ensemble risk features, such as body mass index, primary site of HNC, clinical nodal (N) status, primary site surgical margins, sex, and pathologic nodal (N) status. This will help clinicians screen HNC survivors before SPCs occur.


Sign in / Sign up

Export Citation Format

Share Document