Article
Medicine, General & Internal
Shanshan Peng, Yu Xiao, Xinjun Li, Zhanling Wu
Summary: This study aimed to develop a predictive nomogram for the 1- and 2-year overall survival rates in patients with brain metastatic non-small cell lung cancer (BMNSCLC). By collecting patient data and utilizing statistical methods to identify prognostic factors, a nomogram with good predictive ability was developed. The results showed that the nomogram outperformed the TNM staging system in terms of clinical practicability.
Article
Oncology
Andras Piffko, Benedikt Asey, Lasse Duehrsen, Inka Ristow, Johannes Salamon, Harriet Wikman, Cecile L. Maire, Katrin Lamszus, Manfred Westphal, Thomas Sauvigny, Malte Mohme
Summary: Non-small cell lung cancer is the leading cause of cancer-related death globally, with an increasing incidence of brain metastases in NSCLC patients. This study identified systemic metastatic load and number of brain metastases as significant factors affecting overall survival in resectable NSCLC patients. Factors such as age, absence of other systemic metastases, and number of brain metastases were found to impact survival outcomes.
FRONTIERS IN ONCOLOGY
(2022)
Article
Endocrinology & Metabolism
Meiyun Liu, Peng Zhang, Suyu Wang, Wei Guo, Yibin Guo
Summary: In this study, we constructed a practical predictive model for small cell lung cancer (SCLC) patients using the SEER database. The model was validated internally and externally, and showed relatively high C-index values. This predictive model can assist in individualized treatment for SCLC patients.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Medicine, General & Internal
Zhi-Hui Wang, Lili Deng
Summary: This study aims to summarize high-risk prognostic factors in early-stage non-small cell lung cancer (NSCLC) and establish a new nomogram to predict the overall survival of individuals with stage I NSCLC after resection.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2022)
Article
Respiratory System
Min Liang, Mafeng Chen, Shantanu Singh, Shivank Singh, Caijian Zhou
Summary: In this study, a prognostic model and a web-based predictor were developed to assist physicians with personalized clinical decisions and treatment of patients who presented with brain metastases from lung squamous cell carcinoma (LUSC).
CLINICAL RESPIRATORY JOURNAL
(2023)
Article
Oncology
Junhong Du, Yuemei Cheng, Dan Hu, Yijuan Xing, Ling Yue, Ruifen He, Hongli Li, Chang Liu, Xiaolei Liang, Yongxiu Yang
Summary: The study aimed to establish a nomogram-based prognostic stratification to identify uterine sarcoma patients who might benefit from adjuvant radiotherapy. The results showed that adjuvant radiotherapy had a significant survival benefit for high-risk patients, while it did not improve the survival outcomes of low- and intermediate-risk groups.
GYNECOLOGIC ONCOLOGY
(2023)
Article
Medicine, Research & Experimental
Min Liang, Mafeng Chen, Shantanu Singh, Shivank Singh
Summary: Two nomograms were established to predict individual overall survival (OS) among limited stage (LS) and extensive stage (ES) small cell lung cancer (SCLC) patients who received chemotherapy. The nomograms showed good discrimination capacity and calibration with actual observations, and had more benefits in predicting OS than the 7th American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging system. The proposed nomograms may assist clinicians in treatment strategy and design of clinical trials.
ADVANCES IN THERAPY
(2022)
Article
Oncology
Ji Zhang, Juebin Jin, Yao Ai, Kecheng Zhu, Chengjian Xiao, Congying Xie, Xiance Jin
Summary: This study developed a radiomics nomogram to predict the survival of brain metastasis patients from non-small cell lung cancer who underwent whole brain radiotherapy, based on CT images and clinical factors. The nomogram showed good performance in predicting short-term and long-term survival, with high concordance index and area under curve.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Chia-Te Yen, Wen-Jui Wu, Yen-Ting Chen, Wei-Chin Chang, Sheng-Hsiung Yang, Sheng-Yeh Shen, Jian Su, Hsuan-Yu Chen
Summary: Surgical resection of brain metastases in patients with NSCLC was found to significantly improve overall survival, especially in cases with large-sized metastases limited to the brain. The study concluded that the survival benefit of brain surgery was consistent regardless of EGFR mutation status.
AMERICAN JOURNAL OF CANCER RESEARCH
(2021)
Article
Endocrinology & Metabolism
Lei Zheng, Yalong Gu, Jiangcun Silang, Jinlong Wang, Feng Luo, Baopeng Zhang, Chuanhong Li, Feng Wang
Summary: This study successfully constructed nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with malignant PPGL. The nomograms were found to be accurate and reliable in predicting patient outcomes, providing valuable information for personalized clinical management.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Oncology
Min Liang, Mafeng Chen, Shantanu Singh, Shivank Singh
Summary: A prognostic model was developed to predict overall survival in SCLC patients with BM. It may help physicians make informed clinical decisions and determine the best treatment plan.
CANCER CAUSES & CONTROL
(2023)
Article
Oncology
Wenbo Zou, Zizheng Wang, Fei Wang, Gong Zhang, Rong Liu
Summary: A new nomogram was developed based on SEER database to predict overall survival after resection of non-metastatic pancreatic head adenocarcinoma, showing better predictive capability than the AJCC staging system.
Article
Oncology
Haizhen Zhu, Lin Zhou, Yi Guo, Guangrong Yang, Qiang Dong, Zhijia Zhang, Mingjing Chen, Qiao Yang
Summary: This study, based on American data, found that the incidence of SBM in NSCLC patients was 12.58%, with a median cancer-specific survival of 5 months; younger patients and females were more likely to develop SBM.
Article
Oncology
Bihong T. Chen, Taihao Jin, Ningrong Ye, Isa Mambetsariev, Tao Wang, Chi Wah Wong, Zikuan Chen, Russell C. Rockne, Rivka R. Colen, Andrei I. Holodny, Sagus Sampath, Ravi Salgia
Summary: The study used radiomic analysis of brain metastases from NSCLC and found that radiomic scores can serve as non-invasive biomarkers for predicting survival duration. By utilizing radiomic features of EGFR, ALK, and KRAS mutations, each mutation-positive group could be divided into two subgroups with significantly different survival durations.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
M. Duijm, E. Oomen-de Hoop, N. van Voort van der Zyp, P. van de Vaart, H. Tekatli, M. Hoogeman, S. Senan, J. Nuyttens
Summary: A nomogram predicting overall survival in centrally located NSCLC patients treated with SBRT was developed and externally validated, showing moderate predictive accuracy. This nomogram, based on 5 patient and tumor characteristics, provides individualized survival prediction.
RADIOTHERAPY AND ONCOLOGY
(2021)