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Thoracic Wall

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Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy.

Journal of applied clinical medical physics
BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We utilize machine learning algorithms to identify toxicity predictors to develop dose-volume constraints.

Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.

Medical physics
PURPOSE: Segmentation of the chest wall, is an important component of methods for automated analysis of breast magnetic resonance imaging (MRI). Methods reported to date show promising results but have difficulties delineating the muscle border corre...

Computer-aided diagnosis of pectus excavatum using CT images and deep learning methods.

Scientific reports
Pectus excavatum (PE) is one of the most common chest wall defects. Accurate assessment of PE deformities is critical for effective surgical intervention. Index-based evaluations have become the standard for objectively estimating PE, however, these ...

Deep learning-based method to accurately estimate breast tissue optical properties in the presence of the chest wall.

Journal of biomedical optics
SIGNIFICANCE: In general, image reconstruction methods used in diffuse optical tomography (DOT) are based on diffusion approximation, and they consider the breast tissue as a homogenous, semi-infinite medium. However, the semi-infinite medium assumpt...

Incidentalomas in chest CT.

The British journal of radiology
Advances in imaging technology have dramatically increased the resolution of CT and improved detection of disease; these advances also have led to an increase in incidentalomas or incidental findings that often do not represent significant disease. I...

Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.

General thoracic and cardiovascular surgery
A major challenge in treating superior sulcus tumors is achieving complete surgical resection because of technical difficulties associated with the anatomical structures and approaches to the thorax. Our technique combines posterior minimally invasiv...

Robotic First Rib Resection and Robotic Chest Wall Resection.

Thoracic surgery clinics
Robot-assisted thoracoscopic surgery for the treatment of thoracic outlet syndrome and chest wall lesions are burgeoning topics on thoracic surgery. Following publication of the Society of Vascular Surgeons expert statement in 2016, the diagnosis and...

Stapler port position determination using 3-dimensional virtual simulation software in robot-assisted thoracic surgery.

BMC surgery
BACKGROUND: In robot-assisted thoracic surgery (RATS) lobectomy using a robotic stapler, stapling is difficult when the stapler port place is close to the resection target vessel. We examined whether three-dimensional computed tomography (3D-CT) soft...

[Robot-assisted Thoracic Surgery for Mediastinal and Chest Wall Tumors:Atypical Surgical Approaches by the Tumor Localization].

Kyobu geka. The Japanese journal of thoracic surgery
Surgery for mediastinal and chest wall tumors requires various approaches, including open and thoracoscopic, depending on the size and localization of the tumor. While robotic surgery for anterior mediastinal tumors has become a standardized approach...

Extensive clinical testing of Deep Learning Segmentation models for thorax and breast cancer radiotherapy planning.

Acta oncologica (Stockholm, Sweden)
BACKGROUND: The performance of deep learning segmentation (DLS) models for automatic organ extraction from CT images in the thorax and breast regions was investigated. Furthermore, the readiness and feasibility of integrating DLS into clinical practi...