AIMC Topic: Neoadjuvant Therapy

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Machine learning for predicting pathological complete response in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy.

Scientific reports Jul 28, 2020
For patients with locally advanced rectal cancer (LARC), achieving a pathological complete response (pCR) after neoadjuvant chemoradiotherapy (CRT) provides them with the optimal prognosis. However, no reliable prediction model is presently available...
Male Middle Aged Antineoplastic Agents Treatment Outcome Neoadjuvant Therapy Support Vector Machine Neoplasm Staging Rectal Neoplasms Chemoradiotherapy Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Aged
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A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Scientific reports Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Aged, 80 and over Young Adult Adult Breast Neoplasms Humans Middle Aged Receptor, ErbB-2 Adolescent Machine Learning Carcinoma, Ductal, Breast ROC Curve Prognosis Receptors, Estrogen Antineoplastic Combined Chemotherapy Protocols Tomography, X-Ray Computed Receptors, Progesterone Neoadjuvant Therapy Female Carcinoma, Lobular Follow-Up Studies Aged
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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...
Humans Neural Networks, Computer Retrospective Studies Female Adult ROC Curve Image Processing, Computer-Assisted Treatment Outcome Neoadjuvant Therapy Contrast Media Breast Neoplasms Middle Aged Antineoplastic Agents Diagnosis, Computer-Assisted Deep Learning Magnetic Resonance Imaging Area Under Curve Chemotherapy, Adjuvant
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A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Breast cancer research : BCR May 28, 2020
BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all patients undergo surgery. The aim of our study was to develop and va...
Neoadjuvant Therapy Follow-Up Studies Magnetic Resonance Imaging Carcinoma, Ductal, Breast Carcinoma, Lobular Humans Machine Learning Prognosis Retrospective Studies Female Breast Neoplasms Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols
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CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.

Journal of medical imaging and radiation oncology May 9, 2020
INTRODUCTION: Innovative biomarkers to predict treatment response in rectal cancer would be helpful in optimizing personalized treatment approaches. In this study, we aimed to develop and validate a CT-based radiomic imaging biomarker to predict path...
Male Female Neoplasm Grading Middle Aged Humans Rectal Neoplasms Aged Neoadjuvant Therapy Chemoradiotherapy Machine Learning Aged, 80 and over Predictive Value of Tests Florida Retrospective Studies Adult Neoplasm Staging Biomarkers, Tumor Tomography, X-Ray Computed
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Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.

Physics in medicine and biology Apr 2, 2020
Radiomic features achieve promising results in cancer diagnosis, treatment response prediction, and survival prediction. Our goal is to compare the handcrafted (explicitly designed) and deep learning (DL)-based radiomic features extracted from pre-tr...
Diffusion Magnetic Resonance Imaging ROC Curve Treatment Outcome Humans Neoadjuvant Therapy Rectal Neoplasms Chemoradiotherapy Female Male Middle Aged Deep Learning
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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.
Middle Aged Deep Learning ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Neoplasm Invasiveness Carcinoma, Ductal, Breast Chemotherapy, Adjuvant Carcinoma, Papillary Humans Prognosis Retrospective Studies Female Breast Neoplasms Carcinoma, Lobular
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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...
Machine Learning Female Adult Multiparametric Magnetic Resonance Imaging Breast Neoplasms Treatment Outcome Humans Middle Aged Neoadjuvant Therapy Predictive Value of Tests Breast Chemotherapy, Adjuvant
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ASO Author Reflections: Use of Machine Learning to Identify Patients with Intrahepatic Cholangiocarcinoma Who Could Benefit More from Neoadjuvant Therapies.

Annals of surgical oncology Nov 11, 2019
Humans Survival Rate Machine Learning Neoadjuvant Therapy Prognosis Bile Duct Neoplasms Clinical Decision-Making Cholangiocarcinoma
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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...
France Analysis of Variance Adolescent Chemotherapy, Adjuvant Infant, Newborn Child, Preschool Neoadjuvant Therapy Humans Young Adult Child Machine Learning Magnetic Resonance Imaging Sensitivity and Specificity Antineoplastic Combined Chemotherapy Protocols Retrospective Studies Osteosarcoma Male Treatment Outcome Female Bone Neoplasms Infant Predictive Value of Tests
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