Machine learning may guide use of neoadjuvant therapy for … – Healio
March 22, 2023
2 min read
Chang J, et al. Machine learning-based investigation of prognostic indicators for oncologic outcome of pancreatic ductal adenocarcinoma. Presented at: Society of Surgical Oncology Annual Meeting; March 22-25, 2023; Boston.
Disclosures: Chang reports no relevant financial disclosures. One researcher reports funding from AngioDynamics, Checkmate Pharmaceuticals, Optimum Therapeutics and Regeneron for unrelated projects or clinical trials.
ADD TOPIC TO EMAIL ALERTS
Receive an email when new articles are posted on
Back to Healio
Machine learning algorithms can help predict positive resection margin and lymph node metastases among patients with pancreatic ductal adenocarcinoma, according to study results.
The approach yielded greater positive predictive values than CT scan for both variables, findings presented at Society of Surgical Oncology Annual Meeting showed.
This hopefully can give providers the ability to identify patients with resectable pancreatic cancer who may benefit from neoadjuvant therapies, researcher Jeremy Chang, MD, MS, surgery resident at University of Iowa Hospitals, said during a press conference.
Pancreatic cancer is the third leading cause of cancer-related death, with a disproportionately high mortality rate compared with incidence due to most patients being diagnosed at advanced stages.
Approximately 15% to 20% of cases are deemed curable with surgery, according to study background. However, up to 80% of patients who undergo surgery develop local or distant recurrence, with key risk factors including lymph node metastasis, positive margins after surgery, larger tumor size and no receipt of chemotherapy.
A recent novel notion is there may be patients with resectable tumors at time of diagnosis who would actually benefit from neoadjuvant therapy or chemoradiation before surgery, Chang said. The question now is, how do we find who those patients are?
Chang and colleagues conducted a pilot study to assess the potential of machine learning which uses algorithms to learn and recognize patterns from input data to predict lymph node metastases or positive resection margins from preoperative scans.
Researchers used a 3-D convolutional neural network, optimized to process pixel or image data.
The network can be divided into three segments and 17 layers, Chang said. The first input layer consists of a CT image, followed by 12 layers of feature extraction, and then four layers of classification or output.
The cohort included adults diagnosed with pancreatic ductal adenocarcinoma who underwent pancreatectomy at University of Iowa Hospitals between 2015 and 2021. All patients had viable preoperative CT and postoperative pathology.
The analysis included 79 patients with a combined 480 CT images. The margin portion of the study also included 31 patients with unresectable locally advanced disease who served as positive controls.
Researchers divided patients into a training group which allowed the algorithm to learn and develop its pattern of recognition and a validation group.
The lymph node status portion of the study included a training group of 59 patients with a combined 340 images, and a validation group of 20 patients with a combined 140 images.
Results of a per-patient analysis showed a sensitivity of 100% (95% CI, 80-100) and specificity of 60% (95% CI, 23-93).
Researchers reported a prediction accuracy of 90%, a positive predictive value of 88% (95% CI, 66-88) and a negative predictive value of 100% (95% CI, 44-100).
The margin status portion of the study included a training group of 83 patients with a combined 629 images, as well as a validation group of 27 patients with a combined 252 images.
Results showed a prediction accuracy of 81%, a positive predictive value of 80% (95% CI, 64-98) and a negative predictive value of 82% (95% CI, 59-94).
For context, the positive predictive value of CT scans the most common modality for pancreatic cancer diagnosis and assessment is 73% for identifying positive nodes and 68% for determining whether resection margins will be positive, Chang said.
Future directions for this study will include increasing size of the training and testing cohorts to increase generalizability, Chang said. Were also planning to use this technology to develop a prospective clinical trial to help stratify patients for neoadjuvant treatment.
ADD TOPIC TO EMAIL ALERTS
Receive an email when new articles are posted on
Back to Healio
Read the original:
Machine learning may guide use of neoadjuvant therapy for ... - Healio
- Infleqtion Unveils Contextual Machine Learning (CML) at GTC 2025, Powering AI Breakthroughs with NVIDIA CUDA-Q and Quantum-Inspired Algorithms - Yahoo... - March 22nd, 2025 [March 22nd, 2025]
- Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals -... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning analysis of cardiovascular risk factors and their associations with hearing loss - Nature.com - March 22nd, 2025 [March 22nd, 2025]
- Weekly Recap: Dual-Cure Inks, AI And Machine Learning Top This Weeks Stories - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of... - March 22nd, 2025 [March 22nd, 2025]
- Machine learning aids in detection of 'brain tsunamis' - University of Cincinnati - March 22nd, 2025 [March 22nd, 2025]
- AI & Machine Learning in Database Management: Studying Trends and Applications with Nithin Gadicharla - Tech Times - March 22nd, 2025 [March 22nd, 2025]
- MicroRNA Biomarkers and Machine Learning for Hypertension Subtyping - Physician's Weekly - March 22nd, 2025 [March 22nd, 2025]
- Machine Learning Pioneer Ramin Hasani Joins Info-Tech's "Digital Disruption" Podcast to Explore the Future of AI and Liquid Neural Networks... - March 22nd, 2025 [March 22nd, 2025]
- Predicting HIV treatment nonadherence in adolescents with machine learning - News-Medical.Net - March 22nd, 2025 [March 22nd, 2025]
- AI And Machine Learning In Ink And Coatings Formulation - Ink World Magazine - March 22nd, 2025 [March 22nd, 2025]
- Counting whales by eavesdropping on their chatter, with help from machine learning - Mongabay.com - March 22nd, 2025 [March 22nd, 2025]
- Associate Professor - Artificial Intelligence and Machine Learning job with GALGOTIAS UNIVERSITY | 390348 - Times Higher Education - March 22nd, 2025 [March 22nd, 2025]
- Innovative Machine Learning Tool Reveals Secrets Of Marine Microbial Proteins - Evrim Aac - March 22nd, 2025 [March 22nd, 2025]
- Exploring the role of breastfeeding, antibiotics, and indoor environments in preschool children atopic dermatitis through machine learning and hygiene... - March 22nd, 2025 [March 22nd, 2025]
- Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations -... - March 22nd, 2025 [March 22nd, 2025]
- 'We want them to be the creators': Karlie Kloss' coding nonprofit offering free AI and machine learning workshop this weekend - KSDK.com - March 22nd, 2025 [March 22nd, 2025]
- New headset reads minds and uses AR, AI and machine learning to help people with locked-in-syndrome communicate with loved ones again - PC Gamer - March 22nd, 2025 [March 22nd, 2025]
- Enhancing cybersecurity through script development using machine and deep learning for advanced threat mitigation - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning-assisted wearable sensing systems for speech recognition and interaction - Nature.com - March 11th, 2025 [March 11th, 2025]
- Machine learning uncovers complexity of immunotherapy variables in bladder cancer - Hospital Healthcare - March 11th, 2025 [March 11th, 2025]
- Machine-learning algorithm analyzes gravitational waves from merging neutron stars in the blink of an eye - The University of Rhode Island - March 11th, 2025 [March 11th, 2025]
- Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods - Nature.com - March 11th, 2025 [March 11th, 2025]
- AI in Esports: How Machine Learning is Transforming Anti-Cheat Systems in Esports - Jumpstart Media - March 11th, 2025 [March 11th, 2025]
- Whats that microplastic? Advances in machine learning are making identifying plastics in the environment more reliable - The Conversation Indonesia - March 11th, 2025 [March 11th, 2025]
- Application of machine learning techniques in GlaucomAI system for glaucoma diagnosis and collaborative research support - Nature.com - March 11th, 2025 [March 11th, 2025]
- Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding - Nature.com - March 11th, 2025 [March 11th, 2025]
- Hugging Face Tutorial: Unleashing the Power of AI and Machine Learning - - March 11th, 2025 [March 11th, 2025]
- Utilizing Machine Learning to Predict Host Stars and the Key Elemental Abundances of Small Planets - Astrobiology News - March 11th, 2025 [March 11th, 2025]
- AI to the rescue: Study shows machine learning predicts long term recovery for anxiety with 72% accuracy - Hindustan Times - March 11th, 2025 [March 11th, 2025]
- New in 2025.3: Reducing false positives with Machine Learning - Emsisoft - March 5th, 2025 [March 5th, 2025]
- Abnormal FX Returns And Liquidity-Based Machine Learning Approaches - Seeking Alpha - March 5th, 2025 [March 5th, 2025]
- Sentiment analysis of emoji fused reviews using machine learning and Bert - Nature.com - March 5th, 2025 [March 5th, 2025]
- Detection of obstetric anal sphincter injuries using machine learning-assisted impedance spectroscopy: a prospective, comparative, multicentre... - March 5th, 2025 [March 5th, 2025]
- JFrog and Hugging Face team to improve machine learning security and transparency for developers - SDxCentral - March 5th, 2025 [March 5th, 2025]
- Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning - Nature.com - March 5th, 2025 [March 5th, 2025]
- AI and Machine Learning Operationalization Software Market Hits New High | Major Giants Google, IBM, Microsoft - openPR - March 5th, 2025 [March 5th, 2025]
- FICO secures new patents in AI and machine learning technologies - Investing.com - March 5th, 2025 [March 5th, 2025]
- Study on landslide hazard risk in Wenzhou based on slope units and machine learning approaches - Nature.com - March 5th, 2025 [March 5th, 2025]
- NVIDIA Is Finding Great Success With Vulkan Machine Learning - Competitive With CUDA - Phoronix - March 3rd, 2025 [March 3rd, 2025]
- MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival - Nature.com - March 3rd, 2025 [March 3rd, 2025]
- AI and Machine Learning - Identifying meaningful use cases to fulfil the promise of AI in cities - SmartCitiesWorld - March 3rd, 2025 [March 3rd, 2025]
- Prediction of contrast-associated acute kidney injury with machine-learning in patients undergoing contrast-enhanced computed tomography in emergency... - March 3rd, 2025 [March 3rd, 2025]
- Predicting Ag Harvest using ArcGIS and Machine Learning - Esri - March 1st, 2025 [March 1st, 2025]
- Seeing Through The Hype: The Difference Between AI And Machine Learning In Marketing - AdExchanger - March 1st, 2025 [March 1st, 2025]
- Machine Learning Meets War Termination: Using AI to Explore Peace Scenarios in Ukraine - Center for Strategic & International Studies - March 1st, 2025 [March 1st, 2025]
- Statistical and machine learning analysis of diesel engines fueled with Moringa oleifera biodiesel doped with 1-hexanol and Zr2O3 nanoparticles |... - March 1st, 2025 [March 1st, 2025]
- Spatial analysis of air pollutant exposure and its association with metabolic diseases using machine learning - BMC Public Health - March 1st, 2025 [March 1st, 2025]
- The Evolution of AI in Software Testing: From Machine Learning to Agentic AI - CSRwire.com - March 1st, 2025 [March 1st, 2025]
- Wonder Dynamics Helps Boxel Studio Embrace Machine Learning and AI - Animation World Network - March 1st, 2025 [March 1st, 2025]
- Predicting responsiveness to fixed-dose methylene blue in adult patients with septic shock using interpretable machine learning: a retrospective study... - March 1st, 2025 [March 1st, 2025]
- Workplace Predictions: AI, Machine Learning To Transform Operations In 2025 - Facility Executive Magazine - March 1st, 2025 [March 1st, 2025]
- Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire - Nature.com - March 1st, 2025 [March 1st, 2025]
- Machine learning analysis of gene expression profiles of pyroptosis-related differentially expressed genes in ischemic stroke revealed potential... - March 1st, 2025 [March 1st, 2025]
- Utilization of tree-based machine learning models for predicting low birth weight cases - BMC Pregnancy and Childbirth - March 1st, 2025 [March 1st, 2025]
- Machine learning-based pattern recognition of Bender element signals for predicting sand particle-size - Nature.com - March 1st, 2025 [March 1st, 2025]
- Wearable Tech Uses Machine Learning to Predict Mood Swings - IoT World Today - March 1st, 2025 [March 1st, 2025]
- Machine learning can prevent thermal runaway in EV batteries - Automotive World - March 1st, 2025 [March 1st, 2025]
- Integration of multiple machine learning approaches develops a gene mutation-based classifier for accurate immunotherapy outcomes - Nature.com - March 1st, 2025 [March 1st, 2025]
- Data Analytics Market Size to Surpass USD 483.41 Billion by 2032 Owing to Rising Adoption of AI & Machine Learning Technologies - Yahoo Finance - March 1st, 2025 [March 1st, 2025]
- Predictive AI Only Works If Stakeholders Tune This Dial - The Machine Learning Times - March 1st, 2025 [March 1st, 2025]
- Relationship between atherogenic index of plasma and length of stay in critically ill patients with atherosclerotic cardiovascular disease: a... - March 1st, 2025 [March 1st, 2025]
- A global survey from SAS shows that artificial intelligence and machine learning are producing major benefits in combating money laundering and other... - March 1st, 2025 [March 1st, 2025]
- Putting the AI in air cargo: How machine learning is reshaping demand forecasting - Air Cargo Week - March 1st, 2025 [March 1st, 2025]
- Meta speeds up its hiring process for machine-learning engineers as it cuts thousands of 'low performers' - Business Insider - February 11th, 2025 [February 11th, 2025]
- AI vs. Machine Learning: The Key Differences and Why They Matter - Lifewire - February 11th, 2025 [February 11th, 2025]
- Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression - Nature.com - February 11th, 2025 [February 11th, 2025]
- Climate change and machine learning the good, bad, and unknown - MIT Sloan News - February 11th, 2025 [February 11th, 2025]
- Theory, Analysis, and Best Practices for Sigmoid Self-Attention - Apple Machine Learning Research - February 11th, 2025 [February 11th, 2025]
- Yielding insights: Machine learning driven imputations to fill in agricultural data gaps in surveys - World Bank - February 11th, 2025 [February 11th, 2025]
- SKUtrak Promote tool taps machine learning powered analysis to shake up way brands run promotions - Retail Technology Innovation Hub - February 11th, 2025 [February 11th, 2025]
- Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings - Nature.com - February 11th, 2025 [February 11th, 2025]
- The Alignment Problem: Machine Learning and Human Values - Harvard Gazette - February 11th, 2025 [February 11th, 2025]
- Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data - Nature.com - February 11th, 2025 [February 11th, 2025]
- Analyzing the influence of manufactured sand and fly ash on concrete strength through experimental and machine learning methods - Nature.com - February 11th, 2025 [February 11th, 2025]
- Machine learning prediction of glaucoma by heavy metal exposure: results from the National Health and Nutrition Examination Survey 2005 to 2008 -... - February 11th, 2025 [February 11th, 2025]
- Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation - Nature.com - February 11th, 2025 [February 11th, 2025]
- Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the... - February 11th, 2025 [February 11th, 2025]
- Unlock the Secrets of AI: How Mohit Pandey Makes Machine Learning Fun! - Mi Valle - February 11th, 2025 [February 11th, 2025]