AIMC Topic: Neoplasm Staging
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Robotic surgical staging of lymphadenectomy during pregnancy - case report.
Ceska gynekologie
Jan 1, 2021
OBJECTIVE: We aim to present a case of a 43-year-old patient dia-gnosed with cervical adenocarcinoma in the 15th week of pregnancy, who underwent robotically-assisted staging in a laparoscopic pelvic lymphadenectomy. Further therapeutic approach was ...
Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.
Technology in cancer research & treatment
Jan 1, 2021
To generate synthetic CT (sCT) images with high quality from CBCT and planning CT (pCT) for dose calculation by using deep learning methods. 169 NPC patients with a total of 20926 slices of CBCT and pCT images were included. In this study the Cycle...
Young Adult
Adult
Male
Middle Aged
Deep Learning
Humans
Algorithms
Female
Aged
Neoplasm Grading
Radiotherapy Planning, Computer-Assisted
Radiotherapy Dosage
Nasopharyngeal Carcinoma
Radiotherapy, Image-Guided
Adolescent
Cone-Beam Computed Tomography
Image Processing, Computer-Assisted
Neoplasm Staging
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non-Small Cell Lung Cancer: A Variable Importance Approach.
Medical care
May 1, 2020
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting ov...
Humans
Machine Learning
Prognosis
Male
Middle Aged
Comorbidity
Lung Neoplasms
Carcinoma, Non-Small-Cell Lung
Retrospective Studies
Female
Aged
Adult
Tumor Burden
Models, Statistical
Random Allocation
Positron Emission Tomography Computed Tomography
Whole Body Imaging
Neoplasm Staging
Radiopharmaceuticals
[Prostate cancer pathologic features in men ≤55 years treated with robot assisted radical prostatectomy.].
Archivos espanoles de urologia
Apr 1, 2020
OBJECTIVE: Among western males, prostate cancer is the most frequent oncological disease. Since the widespread of PSA, diagnoses in younger adults is increasing. The aim of this study is to analyze pathological features and biochemical recurrence eve...
Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer.
JCO clinical cancer informatics
Mar 1, 2020
PURPOSE: For patients with early-stage breast cancer, predicting the risk of metastatic relapse is of crucial importance. Existing predictive models rely on agnostic survival analysis statistical tools (eg, Cox regression). Here we define and evaluat...
Evaluation of Rectal Cancer Circumferential Resection Margin Using Faster Region-Based Convolutional Neural Network in High-Resolution Magnetic Resonance Images.
Diseases of the colon and rectum
Feb 1, 2020
BACKGROUND: High-resolution MRI is regarded as the best method to evaluate whether there is an involved circumferential resection margin in rectal cancer.
Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning.
Technology in cancer research & treatment
Jan 1, 2020
BACKGROUND AND AIM: Although the prognosis of nasopharyngeal cancer largely depends on a classification based on the tumor-lymph node metastasis staging system, patients at the same stage may have different clinical outcomes. This study aimed to eval...
Machine Learning and the Cancer-Diagnosis Problem - No Gold Standard.
The New England journal of medicine
Dec 12, 2019
[Stage Ⅳ Breast Cancer with Difficulty in Initiating Chemotherapy-A Case Report].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
We report a case of breast cancer(T4b[skin], N1, M1[lung], ER-, PR-, HER2 3+)in a 63-year-old woman with liver dysfunction of unknown cause(T-Bil 3.6mg/dL, ALP 3,483 U/L, AST 214 U/L, ALT 320 U/L, g / -GTP 1,943 U/L). Further- more, serum CA19-9(4,67...
Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.
JAMA otolaryngology-- head & neck surgery
Dec 1, 2019
IMPORTANCE: Predicting survival of oral squamous cell carcinoma through the use of prediction modeling has been underused, and the development of prediction models would augment clinicians' ability to provide absolute risk estimates for individual pa...
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