AIMC Topic: Tumor Burden
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High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels.
BMC medical imaging
Apr 9, 2021
BACKGROUND: Reidentification of prior nodules for temporal comparison is an important but time-consuming step in lung cancer screening. We develop and evaluate an automated nodule detector that utilizes the axial-slice number of nodules found in radi...
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts.
Scientific reports
Mar 19, 2021
Deep learning models based on medical images play an increasingly important role for cancer outcome prediction. The standard approach involves usage of convolutional neural networks (CNNs) to automatically extract relevant features from the patient's...
Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients.
European journal of nuclear medicine and molecular imaging
Feb 9, 2021
PURPOSE: Identification and delineation of the gross tumour and malignant nodal volume (GTV) in medical images are vital in radiotherapy. We assessed the applicability of convolutional neural networks (CNNs) for fully automatic delineation of the GTV...
Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery.
Scientific reports
Feb 4, 2021
Artificial intelligence (AI) has been applied with considerable success in the fields of radiology, pathology, and neurosurgery. It is expected that AI will soon be used to optimize strategies for the clinical management of patients based on intensiv...
Radiomics to better characterize small renal masses.
World journal of urology
Jan 26, 2021
PURPOSE: Radiomics is a specific field of medical research that uses programmable recognition tools to extract objective information from standard images to combine with clinical data, with the aim of improving diagnostic, prognostic, and predictive ...
Automated segmentation of endometrial cancer on MR images using deep learning.
Scientific reports
Jan 8, 2021
Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses of MR images may provide ra...
Outcomes of surgical and/or medical treatment in patients with prolactinomas during long-term follow-up: a retrospective single-centre study.
Hormone molecular biology and clinical investigation
Dec 17, 2020
OBJECTIVES: Prolactinoma is the most common cause of pituitary tumours. Current medical guidelines recommend dopamine agonists (cabergoline or bromocriptine) as the initial therapy for prolactinoma. However, surgical removal can also be considered in...
Comparison of 11 automated PET segmentation methods in lymphoma.
Physics in medicine and biology
Nov 27, 2020
Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesions and quantifying patient disease burden. Simple thresholding methods remain common despite the large heterogeneity in lymphoma lesion location, size...
Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer.
JAMA network open
Nov 2, 2020
IMPORTANCE: Postoperative chemoradiation is the standard of care for cancers with positive margins or extracapsular extension, but the benefit of chemotherapy is unclear for patients with other intermediate risk features.
Patient Selection
Tumor Burden
Chemoradiotherapy, Adjuvant
Proportional Hazards Models
Otorhinolaryngologic Surgical Procedures
Oropharyngeal Neoplasms
Hypopharyngeal Neoplasms
Radiotherapy, Adjuvant
Laryngeal Neoplasms
Squamous Cell Carcinoma of Head and Neck
Neoplasm Staging
Neoplasm Grading
Machine Learning
Mouth Neoplasms
Retrospective Studies
Deep Learning
Female
Cohort Studies
Humans
Aged
Logistic Models
Neural Networks, Computer
Male
Lymph Nodes
Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Oct 30, 2020
Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for treatment approaches in patients with primary prostate cancer (PCa). Prostate-specific membrane antigen PET (PSMA PET) may outperform MRI in GTV detection. Howe...
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