AIMC Topic: Sarcoma

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Research on imbalance machine learning methods for MRWI soft tissue sarcoma data.

BMC medical imaging Aug 26, 2022
BACKGROUND: Soft tissue sarcoma is a rare and highly heterogeneous tumor in clinical practice. Pathological grading of the soft tissue sarcoma is a key factor in patient prognosis and treatment planning while the clinical data of soft tissue sarcoma ...
Algorithms Sarcoma Soft Tissue Neoplasms Humans Machine Learning
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Radiomics and artificial intelligence in malignant uterine body cancers: Protocol for a systematic review.

PloS one Jun 8, 2022
INTRODUCTION: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine sarcoma (USa). The clinical management of both is hindered by the complex classification of patients into risk classes. This problem could be simplifie...
Artificial Intelligence Machine Learning Precision Medicine Humans Prognosis Systematic Reviews as Topic Female Sarcoma Uterine Neoplasms
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Combining multiparametric MRI features-based transfer learning and clinical parameters: application of machine learning for the differentiation of uterine sarcomas from atypical leiomyomas.

European radiology May 18, 2022
OBJECTIVES: To explore the feasibility and effectiveness of machine learning (ML) based on multiparametric magnetic resonance imaging (mp-MRI) features extracted from transfer learning combined with clinical parameters to differentiate uterine sarcom...
Sarcoma Uterine Neoplasms Leiomyoma Predictive Value of Tests Feasibility Studies Multiparametric Magnetic Resonance Imaging Humans Machine Learning Female Diagnosis, Differential Retrospective Studies
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Predicting distant metastases in soft-tissue sarcomas from PET-CT scans using constrained hierarchical multi-modality feature learning.

Physics in medicine and biology Dec 7, 2021
Positron emission tomography-computed tomography (PET-CT) is regarded as the imaging modality of choice for the management of soft-tissue sarcomas (STSs). Distant metastases (DM) are the leading cause of death in STS patients and early detection is i...
Deep Learning Positron Emission Tomography Computed Tomography Sarcoma Humans Neural Networks, Computer Soft Tissue Neoplasms
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Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 19, 2021
BACKGROUND AND PURPOSE: The delineation of the gross tumor volume (GTV) is a critical step for radiation therapy treatment planning. The delineation procedure is typically performed manually which exposes two major issues: cost and reproducibility. D...
Deep Learning Sarcoma Radiotherapy Planning, Computer-Assisted Observer Variation Soft Tissue Neoplasms Humans Reproducibility of Results
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Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

European radiology Aug 27, 2021
OBJECTIVES: To evaluate the performance of a deep learning radiomic nomogram (DLRN) model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent surgical resection.
Sarcoma Magnetic Resonance Imaging Neoplasm Recurrence, Local Humans Deep Learning Retrospective Studies Nomograms
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Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Veterinary and comparative oncology Jul 5, 2021
Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resection is the treatment of choice for local tumour control. Currently, post-operative pathology is performed for surgical margin assessment. Spectral-domai...
Margins of Excision Sarcoma Tomography, Optical Coherence Animals Dogs Deep Learning Dog Diseases
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Deep learning for diagnosis and survival prediction in soft tissue sarcoma.

Annals of oncology : official journal of the European Society for Medical Oncology Jun 15, 2021
BACKGROUND: Clinical management of soft tissue sarcoma (STS) is particularly challenging. Here, we used digital pathology and deep learning (DL) for diagnosis and prognosis prediction of STS.
Prognosis Retrospective Studies Sarcoma Soft Tissue Neoplasms Deep Learning Humans
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Using rADioMIcs and machine learning with ultrasonography for the differential diagnosis of myometRiAL tumors (the ADMIRAL pilot study). Radiomics and differential diagnosis of myometrial tumors.

Gynecologic oncology Apr 16, 2021
OBJECTIVE: To develop and evaluate the performance of a radiomics and machine learning model applied to ultrasound (US) images in predicting the risk of malignancy of a uterine mesenchymal lesion.
Myometrium Aged, 80 and over Myoma Adult Machine Learning Sarcoma Ultrasonography Humans Retrospective Studies Magnetic Resonance Imaging Middle Aged Uterine Neoplasms Sensitivity and Specificity Female Aged Italy Pilot Projects
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Robotic Right Adrenalectomy for Metastatic Sarcoma.

The American surgeon Feb 11, 2021
Sarcoma Robotics Humans Laparoscopy Adrenalectomy Adrenal Gland Neoplasms Robotic Surgical Procedures
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