Results 91 to 100 of about 130,883 (345)

Deep Learning Radiomics Nomogram Based on Multiphase Computed Tomography for Predicting Axillary Lymph Node Metastasis in Breast Cancer [PDF]

, 2022
Jieqiu Zhang, Wei Yin, Zhengyan Cheng, Xiaopeng Yao   +3 more
openalex   +1 more source

DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management.

Neuro-Oncology, 2019
BACKGROUND Variability in standard-of-care classifications precludes accurate predictions of early tumor recurrence for individual patients with meningioma, limiting the appropriate selection of patients who would benefit from adjuvant radiotherapy to ...
F. Nassiri, Y. Mamatjan, S. Suppiah, J. Badhiwala, S. Mansouri, S. Karimi, O. Saarela, L. Poisson, Irina Gepfner-Tuma, J. Schittenhelm, H. Ng, H. Noushmehr, P. Harter, P. Baumgarten, M. Weller, M. Preusser, C. Herold‐Mende, M. Tatagiba, G. Tabatabai, F. Sahm, A. von Deimling, Kenneth D. Aldape, K. Au, Jill Barnhartz-Sloan, W. Bi, P. Brastianos, N. Butowski, C. Carlotti, M. Cusimano, F. DiMeco, K. Drummond, Ian F. Dunn, E. Galanis, C. Giannini, R. Goldbrunner, B. Griffith, R. Hashizume, C. Hanemann, C. Herold‐Mende, C. Horbinski, Raymond Y Huang, D. James, M. Jenkinson, C. Jungk, Timothy J. Kaufman, B. Krischek, Daniel Lachance, C. Lafougère, Ian Lee, Jeffrey C. Liu, Y. Mamatjan, T. Malta, C. Mawrin, Michael Mcdermott, David Munoz, F. Nassiri, H. Noushmehr, H. Ng, A. Perry, F. Pirouzmand, L. Poisson, B. Pollo, D. Raleigh, F. Sahm, A. Saladino, T. Santarius, C. Schichor, David Schultz, N. Schmidt, Warren Selman, A. Sloan, J. Spears, J. Snyder, S. Suppiah, G. Tabatabai, M. Tatagiba, D. Tirapelli, J. Tonn, D. Tsang, M. Vogelbaum, A. von Deimling, P. Wen, T. Walbert, M. Westphal, A. Workewych, G. Zadeh, G. Zadeh, K. Aldape   +87 more
semanticscholar   +1 more source

Integrating Clinical Features, Laboratory Biomarkers and Computed Tomography for the Discrimination of Non‐Small Cell Lung Cancer and Benign Pulmonary Diseases: A Clinical Prediction Model

Journal of Clinical Laboratory Analysis, EarlyView.
This study developed and validated a clinical prediction model to differentiate non‐small cell lung cancer (NSCLC) from benign pulmonary diseases using clinical features, laboratory biomarkers, and CT features. The model achieved an AUC‐ROC of 0.95 in the training set and 0.82 in the validation set, demonstrating reliable diagnostic performance and ...
Jie Zhang, Shui Liu, Mingjian Bai, Fucun Ma, Guowei Liang, Bing Wang   +5 more
wiley   +1 more source

Evolution of Fagan's Nomogram; a Commentary

Emergency, 2016
I read with interest your paper entitled "Pre and post-test probabilities and Fagan’s nomogram. I would like to add a note concerning an update on Fagan’s Nomogram.
Abdelrahman Ibrahim Abushouk
doaj  

A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging

Cancer Medicine, 2021
Background Esophageal cancer (EC) is a malignant tumor with high mortality. Nomogram is an important tool used in clinical prognostic assessment. We aimed to establish a novel nomogram to predict the overall survival (OS) of EC patients after radical ...
Xinye Li, Jinming Xu, Linhai Zhu, Sijia Yang, Li Yu, Wang Lv, Jian Hu   +6 more
doaj   +1 more source

Construction and validation of nomograms to predict overall survival and cancer-specific survival in patients with gastroesophageal junction cancer of no distant metastasis [PDF]

, 2023
Shiqiang Zhang, Jinhu Qiang, Hanfei Shi, Yujie Zhang   +3 more
openalex   +1 more source

Clinical Value of Pelvic Floor Ultrasound and Glazer Pelvic Floor Electromyography in Predicting Postpartum Stress Urinary Incontinence

Journal of Ultrasound in Medicine, EarlyView.
Objectives Based on pelvic floor ultrasound and Glazer pelvic floor surface electromyography parameters in postpartum patients with stress urinary incontinence (SUI), this study aims to establish a model and explore its clinical value in predicting the disease.
Lingyu Yang, Yan Wang, Fen Gu, Yi Ren, Jing Ning   +4 more
wiley   +1 more source

Impact of Depth of Invasion in Node‐Negative Oral Tongue Cancer Treated With Surgery Alone

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Oral tongue squamous cell carcinoma (OTSCC) is an aggressive malignancy and the most common subsite of head and neck cancer among Taiwanese males. This study aimed to evaluate the prognostic significance of depth of invasion (DOI) in patients with node‐negative OTSCC treated with radical surgery alone.
Po‐Wen Hsiao, Yu‐Tsai Lin, Hui‐Ching Chuang, Chun‐Yuan Chao, Chih‐Yen Chien, Chao‐Hui Yang, Fu‐Min Fang, Hui Lu, Ming‐Hsien Tsai   +8 more
wiley   +1 more source

Entropic Nomogram

Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 10. Innovatcionnaia deiatel’nost’, 2014
The concept of entropy spatial-energy interactions is used to reflect the similar views on the statistical thermodynamics of entropy. The resulting nomogram is obtained for estimating the entropy of various processes. The authors discuss the variety of manifestations of entropy, including the biochemical processes in the economy.
Korablev Grigoriy Andreevich, Petrova Natalya Grigoryevna, Kodolov Vladimir Ivanovich, Zaikov Gennady Efremovich, Korablev Roman Grigoryevich, Osipov Anatoliy Konstantinovich   +5 more
openaire   +2 more sources

Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features

Frontiers in Medicine
ObjectiveLung cancer—with its global prevalence and critical need for early diagnosis and treatment—is the focus of our study. This study aimed to develop a nomogram based on acoustic–clinical features—a tool that could significantly enhance the clinical
Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu   +11 more
doaj   +1 more source