A Nomogram Predicting Recurrence and Guiding Adjuvant Radiation for Thymic Carcinoma After Resection

Wang, Yang; Xu, Liangliang; Du, Tao; Gao, Yunfei; Wu, Zhenhua; Dong-bo, Luo

doi:10.1016/j.athoracsur.2018.02.009

Cited by 7 publications

(6 citation statements)

References 39 publications

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“…For example, preoperative nomograms estimating the risk of positive surgical margins and LNM could help clinicians identify patients who might benefit more from more extensive surgery (13,18). Postoperative nomograms estimating recurrence, cancer-specific survival, benefit of adjuvant therapies and the effect of treatment on quality of life might assist patients and physicians in making decision in all aspects (19)(20)(21).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Li¹,

Tang²,

Chen³

et al. 2021

Gland Surg

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Background: Lymph node status is an important factor in determining the prognosis of early-stage breast cancer. We endeavored to build and validate a simple nomogram to predict lymph node metastasis (LNM) in patients with early-stage breast cancer.Methods: Patients with T1-2 and non-metastasis (M0) breast cancer registered in the Surveillance, Epidemiology, and End Results (SEER) database were enrolled. All patients were divided into primary cohort and validation cohort in a 2:1 ratio. In order to assess risk factors for LNM, we performed univariate and multivariate binary logistic regression, and based on results of multivariable analysis, we built the predictive nomogram model. The C-index, receiver operating characteristic (ROC) and calibration plots were applied to assess LNM model performance. Moreover, the nomogram efficiency was further validated through the validation cohort, part of which was from the First Affiliated Hospital of Nanjing Medical University database. Results: Totally, 184,531 female breast cancer with T1-2 tumor size from SEER database and 1,222 patients from the Chinese institutional data were included. There were 123,019 patients in the primary cohort and 62,734 patients in validation cohort. The LNM nomogram was composed of seven features including age at diagnosis, race, primary site, histologic type, grade, tumor size and subtype. The model showed good discrimination, with a C-index of 0.720 [95% confidence interval (CI): 0.717-0.723] and good calibration. Similar C-index was 0.718 (95% CI: 0.713-0.723) in validation cohort. Consistently, ROC curves presented good discrimination in the primary cohort [area under the curve (AUC) =0.720] and the validation set (AUC =0.718) for the LNM nomogram. Calibration curve of the nomogram demonstrated good agreement. Conclusions: With the prediction of novel validated nomogram for women with early-stage breast cancer, doctors may distinguish patients with high possibility of LNM and devise individualize treatments.

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Section: Introductionmentioning

confidence: 99%

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Li¹,

Tang²,

Chen³

et al. 2021

Gland Surg

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“…Since thymic neuroendocrine tumors differ significantly in the survival of individual patients, the Masaoka-Koga (MK) staging system or the TNM staging system cannot be accurately used to predict survival. [7][8][9] Although some prognostic models have been studied, 4,10 nomogram models for thymic neuroendocrine tumors have not been developed. Therefore, in our study, we attempted to develop a nomogram model to predict and validate long-term survival rates for individualized treatments.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram prognostic model for patients with neuroendocrine tumors of the thymus

et al. 2020

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Background The purpose of this study was to analyze the clinical characteristics and prognostic survival of patients with neuroendocrine tumors of the thymus (NETTs), and to develop and validate a nomogram model for predicting the prognosis of patients. Methods We conducted a retrospective analysis of patients with neuroendocrine tumors of the thymus in the Surveillance, Epidemiology, and End Results (SEER) database in the United States between 1988 and 2016. Cox scale risk regression analysis, the Kaplan‐Meier method and log‐rank test were used to carry out the significance test to determine the independent prognostic factors, from which a nomogram for NETTs was established. C‐index and calibration curve were used to evaluate the prediction accuracy of the model. External validation of the nomogram was performed using data from our center. Results A total of 254 patients with NETTs were collected in the SEER database. In the multivariable analysis, T stage, tumor grade, surgery, and chemotherapy were found to be independent factors affecting the prognosis of patients (all P < 0.05). A nomogram model was constructed based on these variables, and its c‐index was 0.707 (0.661–0.752). The c‐index results showed that the nomogram model had better authentication capability than the eighth edition of the tumor, node, metastasis (TNM) staging system and Masaoka‐Koga (MK) staging system. The calibration curve showed that the model could accurately predict patient prognosis. Conclusions The study established a nomogram model that predicted the overall survival rate of one‐, three‐ and five‐years, and used the survival prediction model to optimize individualized therapy and prognostic follow‐up through risk stratification.

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“…The patient populations in each study varied, and taken together, there is no clear consensus on the benefit of PORT. Similarly, several single institutional trials have demonstrated a benefit to PORT in sub-populations of thymoma patients [Table 5] [31][32][33][34][35] .…”

Section: Post-operative Radiation Therapymentioning

confidence: 99%

The role of radiation therapy in the management of primary thymic epithelial neoplasms

Johnstone¹,

Simone²

2022

J Cancer Metastasis Treat

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Therapeutic radiation plays an important role in the management of thymoma and thymic carcinoma. These two tumor types differ substantially in their aggressiveness and prognosis. The most pressing issue in radiotherapy is which thymoma and thymic carcinoma patients need radiation. Given that these are rare cancers, few randomized trials have been published. Controversy remains regarding which patients benefit from adjuvant radiation therapy. Existing literature spans patients treated over nearly 50 years, during which time radiation therapy has evolved from rudimentary 2-dimensional based planning to conformal 3-dimensional planning to yet more conformal dose painting techniques such as intensity-modulated radiation therapy and proton therapy. If the effect of radiation is small and the natural history of a disease long, as is the case for stage I favorable histology thymoma, then differences in techniques and toxicities may have as much of an impact as whether radiation was given or not.

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A Nomogram Predicting Recurrence and Guiding Adjuvant Radiation for Thymic Carcinoma After Resection

Abstract: Our nomogram for predicting recurrence-free survival had good performance. Adjuvant radiotherapy should be recommended for patients with a total score greater than 208.

Cited by 7 publications

References 39 publications

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Development and validation of a nomogram for prediction of lymph node metastasis in early-stage breast cancer

Development and validation of a nomogram prognostic model for patients with neuroendocrine tumors of the thymus

The role of radiation therapy in the management of primary thymic epithelial neoplasms

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