AIMC Topic: Chemotherapy, Adjuvant

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Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

Scientific reports Jul 19, 2021
For a patient affected by breast cancer, after tumor removal, it is necessary to decide which adjuvant therapy is able to prevent tumor relapse and formation of metastases. A prediction of the outcome of adjuvant therapy tailored for the patient is h...
Artificial Intelligence Machine Learning Prognosis Female Breast Neoplasms Humans Neural Networks, Computer Predictive Value of Tests Mastectomy Neoplasm Recurrence, Local Survival Analysis Microarray Analysis Chemotherapy, Adjuvant Biomarkers, Tumor Gene Expression Profiling Transcriptome Gene Regulatory Networks Gene Expression Regulation, Neoplastic
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Ultrasound-based deep learning radiomics in the assessment of pathological complete response to neoadjuvant chemotherapy in locally advanced breast cancer.

European journal of cancer (Oxford, England : 1990) Feb 24, 2021
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) for preoperatively assessing breast cancer pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) based on the pre- and post-treatme...
Image Interpretation, Computer-Assisted Observer Variation Chemotherapy, Adjuvant Breast Neoplasms Retrospective Studies Clinical Decision-Making Middle Aged Female Humans Deep Learning Reproducibility of Results Nomograms Adult Neoadjuvant Therapy Treatment Outcome Neoplasm Invasiveness Predictive Value of Tests Ultrasonography, Mammary Mastectomy
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Comparing Laparotomy with Robot-assisted Interval Debulking Surgery for Patients with Advanced Epithelial Ovarian Cancer Receiving Neoadjuvant Chemotherapy.

Journal of minimally invasive gynecology Nov 26, 2020
STUDY OBJECTIVE: Compare survival of patients with advanced epithelial ovarian cancer (EOC) undergoing interval debulking surgery (IDS) with either robot-assisted (R-IDS) or open (O-IDS) approach. Second, we assessed the impact of adjuvant and neoadj...
Aged Neoadjuvant Therapy Ovarian Neoplasms Robotics Neoplasm Staging Robotic Surgical Procedures Humans Retrospective Studies Female Carcinoma, Ovarian Epithelial Cytoreduction Surgical Procedures Laparotomy Chemotherapy, Adjuvant
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Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.

International journal of computer assisted radiology and surgery Jun 16, 2020
PURPOSE: Neoadjuvant chemotherapy (NAC) aims to minimize the tumor size before surgery. Predicting response to NAC could reduce toxicity and delays to effective intervention. Computational analysis of dynamic contrast-enhanced magnetic resonance imag...
Image Processing, Computer-Assisted Treatment Outcome Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Middle Aged Antineoplastic Agents Diagnosis, Computer-Assisted Deep Learning ROC Curve Area Under Curve Chemotherapy, Adjuvant Humans Neural Networks, Computer Retrospective Studies Female Adult Breast Neoplasms
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Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.

Thoracic cancer Jan 16, 2020
BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the pathological complete response (pCR) to neoadjuvant chemotherapy in breast cancer.
Carcinoma, Ductal, Breast Chemotherapy, Adjuvant Carcinoma, Papillary Carcinoma, Lobular ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Neoplasm Invasiveness Retrospective Studies Female Breast Neoplasms Middle Aged Deep Learning Humans Prognosis
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Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy.

Breast (Edinburgh, Scotland) Nov 23, 2019
In patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy (NAC), some patients achieve a complete pathologic response (pCR), some achieve a partial response, and some do not respond at all or even progress. Accurate predicti...
Adult Breast Neoplasms Middle Aged Treatment Outcome Neoadjuvant Therapy Multiparametric Magnetic Resonance Imaging Predictive Value of Tests Breast Chemotherapy, Adjuvant Humans Machine Learning Female
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[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].

Bulletin du cancer Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Young Adult Sensitivity and Specificity Analysis of Variance Male Magnetic Resonance Imaging Chemotherapy, Adjuvant Child, Preschool Humans Infant Adolescent Machine Learning Osteosarcoma Child Retrospective Studies Bone Neoplasms Antineoplastic Combined Chemotherapy Protocols Female Predictive Value of Tests Treatment Outcome Infant, Newborn France Neoadjuvant Therapy
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Robust identification of molecular phenotypes using semi-supervised learning.

BMC bioinformatics May 28, 2019
BACKGROUND: Modern molecular profiling techniques are yielding vast amounts of data from patient samples that could be utilized with machine learning methods to provide important biological insights and improvements in patient outcomes. Unsupervised ...
Prognosis Lymphoma Female Supervised Machine Learning Breast Neoplasms Disease-Free Survival Humans RNA, Messenger Databases as Topic Algorithms Gene Expression Regulation, Neoplastic Chemotherapy, Adjuvant Phenotype
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Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.

Cancer medicine Dec 18, 2018
BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-free survival (PFS) on the basis of clinical, patholog...
Models, Theoretical Magnetic Resonance Imaging Multimodal Imaging Glioblastoma Positron Emission Tomography Computed Tomography Young Adult Adult Brain Neoplasms Male Middle Aged Survival Analysis Humans Machine Learning Chemotherapy, Adjuvant Prognosis Female Aged Aged, 80 and over
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Prediction of postoperative disease-free survival and brain metastasis for HER2-positive breast cancer patients treated with neoadjuvant chemotherapy plus trastuzumab using a machine learning algorithm.

Breast cancer research and treatment Sep 7, 2018
PURPOSE: This study aimed to develop mathematical tools to predict the likelihood of recurrence after neoadjuvant chemotherapy (NAC) plus trastuzumab in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer.
Disease-Free Survival Receptor, ErbB-2 Adult Trastuzumab Breast Neoplasms Humans Brain Neoplasms Chemotherapy, Adjuvant Machine Learning Middle Aged Retrospective Studies Models, Theoretical Female Aged
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