AIMC Topic: Lymphatic Irradiation

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Deep learning promoted target volumes delineation of total marrow and total lymphoid irradiation for accelerated radiotherapy: A multi-institutional study.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jun 8, 2024
BACKGROUND AND PURPOSE: One of the current roadblocks to the widespread use of Total Marrow Irradiation (TMI) and Total Marrow and Lymphoid Irradiation (TMLI) is the challenging difficulties in tumor target contouring workflow. This study aims to dev...
Humans Tomography, X-Ray Computed Female Male Deep Learning Image Processing, Computer-Assisted Bone Marrow Radiotherapy Planning, Computer-Assisted Lymphatic Irradiation
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Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning-based segmentation.

PloS one Mar 8, 2024
BACKGROUND: Total marrow irradiation (TMI) and total marrow and lymphoid irradiation (TMLI) have the advantages. However, delineating target lesions according to TMI and TMLI plans is labor-intensive and time-consuming. In addition, although the deli...
Humans Deep Learning Lymph Nodes Bone Marrow Radiotherapy Dosage Radiotherapy, Intensity-Modulated Lymphatic Irradiation
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Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation.

La Radiologia medica Feb 2, 2024
PURPOSE: To improve the workflow of total marrow and lymphoid irradiation (TMLI) by enhancing the delineation of organs at risk (OARs) and clinical target volume (CTV) using deep learning (DL) and atlas-based (AB) segmentation models.
Humans Deep Learning Workflow Bone Marrow Organs at Risk Radiotherapy Planning, Computer-Assisted Lymphatic Irradiation
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Sentinel Lymph Node Dissection to Select Clinically Node-negative Prostate Cancer Patients for Pelvic Radiation Therapy: Effect on Biochemical Recurrence and Systemic Progression.

International journal of radiation oncology, biology, physics Oct 19, 2016
PURPOSE: To assess the efficacy of robotic-assisted laparoscopic sentinel lymph node (SLN) dissection (SLND) to select those patients with prostate cancer (PCa) who would benefit from additional pelvic external beam radiation therapy and long-term an...
Humans Aged Male Middle Aged Disease Progression Nomograms Lymphatic Metastasis Prostatic Neoplasms Neoplasm Staging Prostate-Specific Antigen Robotic Surgical Procedures Pelvis Androgen Antagonists Neoplasm Recurrence, Local Patient Selection Radiotherapy, Conformal Statistics, Nonparametric Sentinel Lymph Node Biopsy Lymphatic Irradiation
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