AIMC Topic: Neoplasms, Second Primary

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Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.

Radiology Oct 26, 2021
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinic...
Neoplasms, Second Primary Cohort Studies Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Survival Analysis Middle Aged Risk Assessment Deep Learning Biomarkers, Tumor Male Humans Retrospective Studies Prospective Studies Female Prognosis Reproducibility of Results
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Efficacy and safety of CT-guided high-dose-rate interstitial brachytherapy in primary and secondary malignancies of the pancreas.

European journal of radiology Dec 28, 2018
PURPOSE: To evaluate efficacy and safety of CT-guided iBT in patients with primary and secondary malignancies of the pancreas.
Brachytherapy Neoplasms, Second Primary Radiography, Interventional Pancreatic Neoplasms Radiotherapy Dosage Tomography, X-Ray Computed Aged, 80 and over Male Neoplasm Recurrence, Local Humans Adult Female Retrospective Studies Middle Aged Aged Treatment Outcome
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Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Radiology Apr 1, 2025
Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorithms trained on bilateral mammograms for second breast cancer surveillance in patients with a personal history of breast cancer treated with unilateral...
Adult Sensitivity and Specificity Breast Neoplasms Breast Female Humans Middle Aged Mastectomy Aged Neoplasms, Second Primary Mammography Radiologists Artificial Intelligence Retrospective Studies
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Utilizing patient data: A tutorial on predicting second cancer with machine learning models.

Cancer medicine Sep 1, 2024
BACKGROUND: The article explores the potential risk of secondary cancer (SC) due to radiation therapy (RT) and highlights the necessity for new modeling techniques to mitigate this risk.
Decision Trees Neoplasms, Second Primary Neoplasms, Radiation-Induced Precision Medicine Risk Factors Humans Risk Assessment Machine Learning
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Machine learning integrates genomic signatures for subclassification beyond primary and secondary acute myeloid leukemia.

Blood Nov 11, 2021
Although genomic alterations drive the pathogenesis of acute myeloid leukemia (AML), traditional classifications are largely based on morphology, and prototypic genetic founder lesions define only a small proportion of AML patients. The historical su...
Machine Learning Leukemia, Myeloid, Acute Genomics Humans Gene Expression Regulation, Leukemic Translocation, Genetic Cytogenetics Bayes Theorem Mutation Neoplasms, Second Primary
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Advanced Machine Learning in Prediction of Second Primary Cancer in Colorectal Cancer.

Studies in health technology and informatics Jun 16, 2020
Colorectal cancer (CRC) ranked third among most commonly diagnosed cancers worldwide. The onset of second primary cancer (SPC) is an important indicator in treating CRC. We tried to use the advanced machine learning method in order to find the factor...
Humans Machine Learning Taiwan Colorectal Neoplasms Neoplasm Recurrence, Local Support Vector Machine Neoplasms, Second Primary
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Robot-assisted Extracranial Stereotactic Radiotherapy of Adrenal Metastases in Oligometastatic Non-small Cell Lung Cancer.

Anticancer research Sep 1, 2017
AIM: The aim of this study was to evaluate the efficacy and toxicity of stereotactic body radiation therapy (SBRT) in the treatment of patients with adrenal metastases in oligometastatic non-small-cell lung cancer (NSCLC).
Survival Analysis Neoplasms, Second Primary Radiosurgery Dose-Response Relationship, Radiation Carcinoma, Non-Small-Cell Lung Middle Aged Aged Adrenal Gland Neoplasms Lung Neoplasms Aged, 80 and over Robotics Male Humans Female
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