AIMC Topic: Neoplasm Staging

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Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 1, 2020
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the ado...
Tumor Microenvironment Male Middle Aged Risk Assessment Disease Progression Skin Neoplasms Reproducibility of Results Risk Factors Aged Adult Neoplasm Recurrence, Local Progression-Free Survival Microscopy Image Interpretation, Computer-Assisted Lymphocyte Count Diagnosis, Computer-Assisted Lymphocytes, Tumor-Infiltrating Predictive Value of Tests Neoplasm Staging Humans Biopsy Machine Learning Automation, Laboratory Databases, Factual Retrospective Studies Female Melanoma
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Exploring prognostic indicators in the pathological images of hepatocellular carcinoma based on deep learning.

Gut Sep 30, 2020
OBJECTIVE: Tumour pathology contains rich information, including tissue structure and cell morphology, that reflects disease progression and patient survival. However, phenotypic information is subtle and complex, making the discovery of prognostic i...
Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Staging Survival Analysis Female Humans Aged Phenotype Male Prognosis Middle Aged Deep Learning
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Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

Gastroenterology Sep 24, 2020
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) undergo surgical resection with lymph node dissection, despite the low incidence (∼10%) of metastasis to lymph nodes. To reduce unnecessary surgical rese...
Machine Learning Retrospective Studies Female Risk Factors Aged Colorectal Neoplasms Male Middle Aged Risk Assessment Colon Humans Age Factors Lymph Node Excision Neoplasm Staging Japan Colectomy Colonoscopy ROC Curve Lymph Nodes Follow-Up Studies Lymphatic Metastasis
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Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma.

Scientific reports Sep 17, 2020
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional neural networks (CNN) to radiologists in characterizing small hypoattenuating hepatic nodules (SHHN) in colorectal carcinoma (CRC) on CT scans. Retrosp...
Neoplasm Staging Radiologists Radiographic Image Interpretation, Computer-Assisted Observer Variation Expert Testimony Humans Male Neural Networks, Computer Middle Aged Retrospective Studies Diagnosis, Computer-Assisted Tomography, X-Ray Computed Liver Neoplasms Female Liver Aged Aged, 80 and over Young Adult Adult Colorectal Neoplasms
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Liver imaging features by convolutional neural network to predict the metachronous liver metastasis in stage I-III colorectal cancer patients based on preoperative abdominal CT scan.

BMC bioinformatics Sep 17, 2020
BACKGROUND: Introducing deep learning approach to medical images has rendered a large amount of un-decoded information into usage in clinical research. But mostly, it has been focusing on the performance of the prediction modeling for disease-related...
Preoperative Period Humans Neural Networks, Computer Tomography, X-Ray Computed Female Colorectal Neoplasms Male Middle Aged Liver Neoplasms Abdomen Neoplasm Staging
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Development of machine learning-based clinical decision support system for hepatocellular carcinoma.

Scientific reports Sep 9, 2020
There is a significant discrepancy between the actual choice for initial treatment option for hepatocellular carcinoma (HCC) and recommendations from the currently used BCLC staging system. We develop a machine learning-based clinical decision suppor...
Female Aged Male Middle Aged Liver Neoplasms Humans Machine Learning Retrospective Studies Republic of Korea Carcinoma, Hepatocellular Decision Support Systems, Clinical Treatment Outcome Neoplasm Staging
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Cone-beam computed tomography-based radiomics in prostate cancer: a mono-institutional study.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Sep 1, 2020
PURPOSE: The purpose of the reported study was to investigate the value of cone-beam computed tomography (CBCT)-based radiomics for risk stratification and prediction of biochemical relapse in prostate cancer.
Machine Learning Aged Aged, 80 and over Male Middle Aged Humans Neoplasm Grading Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Adenocarcinoma Area Under Curve Prostatic Neoplasms ROC Curve Neoplasm Staging Cone-Beam Computed Tomography Prostate-Specific Antigen Image Processing, Computer-Assisted Computational Biology Logistic Models
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ASO Author Reflections: Robotic Radical Hysterectomy for Patients with Early-Stage Cervical Cancer: Oncologic Outcomes.

Annals of surgical oncology Aug 26, 2020
Robotics Neoplasm Staging Laparoscopy Robotic Surgical Procedures Hysterectomy Humans Retrospective Studies Female Uterine Cervical Neoplasms
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Using Deep Learning with Convolutional Neural Network Approach to Identify the Invasion Depth of Endometrial Cancer in Myometrium Using MR Images: A Pilot Study.

International journal of environmental research and public health Aug 18, 2020
Myometrial invasion affects the prognosis of endometrial cancer. However, discrepancies exist between pre-operative magnetic resonance imaging staging and post-operative pathological staging. This study aims to validate the accuracy of artificial int...
Humans Neural Networks, Computer Artificial Intelligence Female Sensitivity and Specificity Endometrial Neoplasms Myometrium Deep Learning Pilot Projects Magnetic Resonance Imaging Neoplasm Invasiveness Neoplasm Staging
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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...
Treatment Outcome Chemoradiotherapy Female Neoadjuvant Therapy Humans Aged Support Vector Machine Neural Networks, Computer Male Neoplasm Staging Machine Learning Middle Aged Rectal Neoplasms Retrospective Studies Antineoplastic Agents
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