scholarly journals Comparison of treatment outcomes between squamous cell carcinoma and adenocarcinoma of cervix after definitive radiotherapy or concurrent chemoradiotherapy

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Ke Hu ◽  
Weiping Wang ◽  
Xiaoliang Liu ◽  
Qingyu Meng ◽  
Fuquan Zhang
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Treatment Outcomes ◽  
Squamous Cell ◽  
Concurrent Chemoradiotherapy ◽  
Definitive Radiotherapy

scholarly journals A predictive model for treatment response in patients with locally advanced esophageal squamous cell carcinoma after concurrent chemoradiotherapy: based on SUVmean and NLR

2020 ◽  
Author(s):  
chunsheng wang ◽  
Kewei Zhao ◽  
Shanliang Hu ◽  
Yong Huang ◽  
Li Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Treatment Outcomes ◽  
Predictive Model ◽  
Treatment Response ◽  
Squamous Cell ◽  
Concurrent Chemoradiotherapy ◽  
Training Set

Abstract Background: We conducted this study to combine the mean standardized uptake value (SUVmean) and neutrophil to lymphocyte ratio (NLR) to establish a strong predictive model for patients with esophageal squamous cell carcinoma (ESCC) after concurrent chemoradiotherapy (CCRT). Methods: We retrospectively analyzed 163 newly diagnosed ESCC patients treated with CCRT. Eighty patients (training set) were randomly selected to generate cut-off SUVmean and NLR values by receiver operating characteristic (ROC) curve analysis and to establish a predictive model by using the independent predictors of treatment outcomes. Then, we evaluated the performance of the prediction model regarding treatment outcomes in the testing set (n=83) and in all sets. Results: A high SUVmean (>5.81) and high NLR (> 2.42) at diagnosis were associated with unfavorable treatment outcomes in patients with ESCC. The prediction model had a better performance than the simple parameters (p<0.05). With a cut-off value of 0.77, the prediction model significantly improved the specificity and positive predictive value for treatment response (88.9% and 92.1% in the training set, 95.8% and 97.1% in the testing set, and 92.2% and 91.8% in all sets, respectively). Conclusions: The pretreatment SUVmean and NLR were independent predictors of treatment response in ESCC patients treated with CCRT. The predictive model was constructed based on these two parameters and provides a highly accurate tool for predicting patient outcomes.

scholarly journals A predictive model for treatment response in patients with locally advanced esophageal squamous cell carcinoma after concurrent chemoradiotherapy: based on SUVmean and NLR

2019 ◽  
Author(s):  
Chunsheng Wang ◽  
Kewei Zhao ◽  
Shanliang Hu ◽  
Yong Huang ◽  
Li Ma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Treatment Outcomes ◽  
Predictive Model ◽  
Treatment Response ◽  
Squamous Cell ◽  
Concurrent Chemoradiotherapy ◽  
Training Set

Abstract Background: We conducted this study to combine the mean standardized uptake value (SUVmean) and neutrophil to lymphocyte ratio (NLR) to establish a strong predictive model for patients with esophageal squamous cell carcinoma (ESCC) after concurrent chemoradiotherapy (CCRT). Methods: We retrospectively analyzed 163 newly diagnosed ESCC patients treated with CCRT. Eighty patients (training set) were randomly selected to generate cut-off SUVmean and NLR values by receiver operating characteristic (ROC) curve analysis and to establish a predictive model by using the independent predictors of treatment outcomes. Then, we evaluated the performance of the prediction model regarding treatment outcomes in the testing set (n=83) and in all sets. Results: A high SUVmean (>5.81) and high NLR (> 2.42) at diagnosis were associated with unfavorable treatment outcomes in patients with ESCC. The prediction model had a better performance than the simple parameters (p<0.05). With a cut-off value of 0.77, the prediction model significantly improved the specificity and positive predictive value for treatment response (88.9% and 92.1% in the training set, 95.8% and 97.1% in the testing set, and 92.2% and 91.8% in all sets, respectively). Conclusions: The pretreatment SUVmean and NLR were independent predictors of treatment response in ESCC patients treated with CCRT. The predictive model was constructed based on these two parameters and provides a highly accurate tool for predicting patient outcomes.

scholarly journals Treatment outcomes after definitive radio(chemo)therapy for 17 lacrimal sac squamous cell carcinoma

2020 ◽  
Vol 93 (1115) ◽  
pp. 20190633
Author(s):  
Xinmao Song ◽  
Huanyu He ◽  
Yi Zhu ◽  
Shengzi Wang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Treatment Outcomes ◽  
Treatment Option ◽  
Squamous Cell ◽  
Radiation Dermatitis ◽  
Lacrimal Sac ◽  
Free Survival ◽  
Definitive Radiotherapy ◽  
Clinical Records

Objectives: Tumors of the lacrimal sac are rare and life-threatening. Because of their rarity, no extensive clinical data on their management and prognosis exist. We investigated the application of definitive radiation therapy and its outcome in patients with lacrimal sac squamous cell carcinoma (LSSCC). Methods: We retrospectively studied 17 patients with LSSCC at a single institution between 2003 and 2017. All the patients were treated with definitive radiotherapy, and 11 patients were delivered with cisplatin-based chemotherapy. The patients’ clinical records were reviewed for symptoms, pathological types, the volume and dosimetry of the tumors and their adjacent structures, radiation coverage of lymph node drainage areas, treatment outcomes, and complications from definitive radiotherapy. Results: Median follow-up was 38.9 months, and age at diagnosis was 48 years.The 2-year and 5-year overall survival, progression-free survival, locoregional control, and disease metastasis-free survival rates were 94.1 and 84.7%, 88.2 and 73.5%, 93.8%, 94.1, and 78.4%, respectively. A total dose of 6600–7000 cGy was prescribed to the tumor. Levels Ⅰb, Ⅶa, Ⅷ, and Ⅸ were covered with the clinical target volume regardless of lymph involvement. Acute Grade 3 radiation dermatitis occurred in seven patients (17.6%), but no acute Grade 4 or Grade 5 toxicity of any type occurred. Seven (41.2%, 7/17) of the treated eyes had moderated vision impairments; 17.6% (3/17) of patients developed cataracts, and glaucoma and radiation retinopathy were found in 5.9% (1/17) of patients. Conclusions: Definitive radiotherapy could be a treatment option for those who refuse surgery or have unresectable LSSCC. Advances in knowledge: Radiation alone is a treatment option for LSSCC.

scholarly journals Oral findings during follow-up of nasopharyngeal squamous cell carcinoma treatment: A case report

2021 ◽  
Vol 9 ◽  
pp. 2050313X2110330
Author(s):  
Atsushi Musha ◽  
Nobuteru Kubo ◽  
Naoko Okano ◽  
Hidemasa Kawamura ◽  
Yuhei Miyasaka ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Concurrent Chemoradiotherapy ◽  
Nasopharyngeal Cancer ◽  
Inflammatory Conditions ◽  
Positron Emission ◽  
History Of ◽  
Oral Area

A 50-year-old woman with a long history of nasopharyngeal cancer (T2N2M0, squamous cell carcinoma) underwent chemoradiotherapy and surgery. In the past, to prevent tumor recurrence or metastasis, she underwent concurrent chemoradiotherapy or neck dissection. However, during a follow-up 10 years after the surgery, intense F-18 fluorodeoxyglucose uptake was detected in the oral area (SUVmax 6.0). A biopsy of the area with F-18 fluorodeoxyglucose uptake revealed pathological inflammation. Radiography showed the presence of a wisdom tooth, located at the F-18 fluorodeoxyglucose accumulation site, and pericoronitis of this tooth was detected. Our findings indicate the importance of considering the effect of inflammatory conditions, such as periodontal disease, in using F-18 fluorodeoxyglucose positron emission tomography/computed tomography during follow-up after head and neck cancer treatment.

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