AIMC Topic: Neoplasm Staging

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The oncological and surgical safety of robot-assisted surgery in colorectal cancer: outcomes of a longitudinal prospective cohort study.

Surgical endoscopy Jan 28, 2019
BACKGROUND: Colorectal cancer is one of the most common cancers worldwide. Laparoscopic colorectal surgery (LCRS) is a frequently used modality. A new development in minimally invasive surgery is robot-assisted colorectal surgery (RACRS).
Female Aged Survival Rate Colorectal Neoplasms Male Postoperative Complications Humans Prospective Studies Margins of Excision Intraoperative Complications Length of Stay Incidence Neoplasm Staging Follow-Up Studies Neoplasm Recurrence, Local Operative Time Disease-Free Survival Robotics Netherlands Colectomy
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Predicting radiation pneumonitis in locally advanced stage II-III non-small cell lung cancer using machine learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 23, 2019
BACKGROUND AND PURPOSE: Radiation pneumonitis (RP) is a radiotherapy dose-limiting toxicity for locally advanced non-small cell lung cancer (LA-NSCLC). Prior studies have proposed relevant dosimetric constraints to limit this toxicity. Using machine ...
Lung Lung Neoplasms Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Neoplasm Staging Machine Learning Female Aged Male Middle Aged Radiotherapy Dosage Chemoradiotherapy Radiation Pneumonitis Humans
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Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results.

Academic radiology Jan 14, 2019
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopatho...
Prostate Prostatectomy Neoplasm Invasiveness Predictive Value of Tests Bayes Theorem Prostatic Neoplasms Neoplasm Staging Humans Prognosis Machine Learning Aged Algorithms Male Middle Aged Risk Assessment Magnetic Resonance Imaging
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Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.

La Radiologia medica Jan 3, 2019
OBJECTIVE: To develop different radiomic models based on the magnetic resonance imaging (MRI) radiomic features and machine learning methods to predict early intensity-modulated radiation therapy (IMRT) response, Gleason scores (GS) and prostate canc...
Humans Machine Learning Prospective Studies Aged Predictive Value of Tests Aged, 80 and over Prostatic Neoplasms Male Neoplasm Staging Middle Aged Neoplasm Grading Treatment Outcome Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Radiotherapy, Intensity-Modulated
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Predictors of Nodal and Metastatic Failure in Early Stage Non-small-cell Lung Cancer After Stereotactic Body Radiation Therapy.

Clinical lung cancer Dec 29, 2018
INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) undergoing stereotactic body radiation therapy (SBRT) develop metastases, which is associated with poor outcomes. We sought to identify factors predictive o...
Aged Aged, 80 and over Adult Male Middle Aged Disease Progression Lung Neoplasms Carcinoma, Non-Small-Cell Lung Follow-Up Studies Lymphatic Metastasis Neoplasm Staging Humans Prognosis Retrospective Studies Female Risk Factors Tumor Burden Radiotherapy Dosage Radiosurgery Treatment Failure
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Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 23, 2018
BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) according to time to colonoscopy after positive fecal immunochemical test (FIT), fecal hemoglobin concentration, and combination of both.
Neoplasm Staging Humans Hemoglobins Republic of Korea Time-to-Treatment Multivariate Analysis Occult Blood Risk Assessment Colon Colonoscopy Feces Logistic Models Early Detection of Cancer Female Aged Colorectal Neoplasms Male Middle Aged
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Survival outcome prediction in cervical cancer: Cox models vs deep-learning model.

American journal of obstetrics and gynecology Dec 21, 2018
BACKGROUND: Historically, the Cox proportional hazard regression model has been the mainstay for survival analyses in oncologic research. The Cox proportional hazard regression model generally is used based on an assumption of linear association. How...
Middle Aged Risk Assessment Comorbidity Deep Learning Pilot Projects Adenocarcinoma Neoplasm Staging Progression-Free Survival Survival Analysis Proportional Hazards Models Retrospective Studies Female Carcinoma, Squamous Cell Adult Uterine Cervical Neoplasms Humans
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Ultra-Low-Dose Neck CT With Low-Dose Contrast Material for Preoperative Staging of Thyroid Cancer: Image Quality and Diagnostic Performance.

AJR. American journal of roentgenology Dec 17, 2018
OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagnosis of thyroid cancer, it has the shortcomings of substantial radiation exposure and the use of contrast material (CM). The purpose of this article i...
Contrast Media Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Adult Iohexol Male Signal-To-Noise Ratio Humans Radiation Dosage Middle Aged Thyroidectomy Retrospective Studies Thyroid Neoplasms Tomography, X-Ray Computed Female Aged
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Identifying Cases of Metastatic Prostate Cancer Using Machine Learning on Electronic Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Cancer stage is rarely captured in structured form in the electronic health record (EHR). We evaluate the performance of a classifier, trained on structured EHR data, in identifying prostate cancer patients with metastatic disease. Using EHR data for...
California International Classification of Diseases Humans Prostatic Neoplasms Proof of Concept Study Machine Learning Neoplasm Staging Electronic Health Records Neoplasm Metastasis Male Information Storage and Retrieval Cohort Studies Medical Informatics
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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

PLoS medicine Nov 30, 2018
BACKGROUND: Non-small-cell lung cancer (NSCLC) patients often demonstrate varying clinical courses and outcomes, even within the same tumor stage. This study explores deep learning applications in medical imaging allowing for the automated quantifica...
Predictive Value of Tests Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Preliminary Data Risk Factors Aged Retrospective Studies Middle Aged Aged, 80 and over Tomography, X-Ray Computed Adult Risk Assessment Clinical Decision-Making Male Humans Diagnosis, Computer-Assisted Female Reproducibility of Results Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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