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Current guidelines for elective nodal irradiation in oropharyngeal squamous cell carcinoma (OPSCC) recommend including large portions of the contralateral lymph system in the clinical target volume (CTV-N), even for lateralized tumors with…

Medical Physics · Physics 2025-01-29 Roman Ludwig , Yoel Perez Haas , Sergi Benavente , Panagiotis Balermpas , Jan Unkelbach

Metastasis on lymph nodes (LNs), the most common way of spread for primary tumor cells, is a sign of increased mortality. However, metastatic LNs are time-consuming and challenging to detect even for professional radiologists due to their…

Image and Video Processing · Electrical Eng. & Systems 2023-01-10 Chaoyi Wu , Feng Chang , Xiao Su , Zhihan Wu , Yanfeng Wang , Ling Zhu , Ya Zhang

Objective: Large irradiated volumes are a major contributor to severe side-effects in patients with head and neck cancer undergoing curatively intended radiotherapy. We propose a data-driven approach for defining the elective clinical…

Esophageal cancer is one of the most common types of cancer worldwide and ranks sixth in cancer-related mortality. Accurate computer-assisted diagnosis of cancer progression can help physicians effectively customize personalized treatment…

Image and Video Processing · Electrical Eng. & Systems 2024-05-17 Chengyu Wu , Chengkai Wang , Yaqi Wang , Huiyu Zhou , Yatao Zhang , Qifeng Wang , Shuai Wang

Determining the spread of GTV$_{LN}$ is essential in defining the respective resection or irradiating regions for the downstream workflows of surgical resection and radiotherapy for many cancers. Different from the more common enlarged…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Chun-Hung Chao , Zhuotun Zhu , Dazhou Guo , Ke Yan , Tsung-Ying Ho , Jinzheng Cai , Adam P. Harrison , Xianghua Ye , Jing Xiao , Alan Yuille , Min Sun , Le Lu , Dakai Jin

Predicting outcomes, such as survival or metastasis for individual cancer patients is a crucial component of precision oncology. Machine learning (ML) offers a promising way to exploit rich multi-modal data, including clinical information…

Machine Learning · Computer Science 2021-06-04 Michal Kazmierski , Benjamin Haibe-Kains

Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors. Preoperative…

Image and Video Processing · Electrical Eng. & Systems 2023-01-05 Zhilin Zheng , Xu Fang , Jiawen Yao , Mengmeng Zhu , Le Lu , Lingyun Huang , Jing Xiao , Yu Shi , Hong Lu , Jianping Lu , Ling Zhang , Chengwei Shao , Yun Bian

Pathological lymph node delineation is crucial in cancer diagnosis, progression assessment, and treatment planning. The MICCAI 2023 Lymph Node Quantification Challenge published the first public dataset for pathological lymph node…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Stefan M. Fischer , Johannes Kiechle , Daniel M. Lang , Jan C. Peeken , Julia A. Schnabel

Vascular adhesion of circulating tumor cells (CTCs) is a key step in cancer spreading. If inflammation is recognized to favor the formation of vascular metastatic niches, little is known about the contribution of blood rheology to CTC…

Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and neck cancer, and the ability to predict it accurately is essential for treatment optimization. PET and CT imaging are routinely used for LNM…

Lymph node metastasis (LNM) is a crucial factor in determining the initial treatment for patients with lung cancer, yet accurate preoperative diagnosis of LNM remains challenging. Recently, large language models (LLMs) have garnered…

Computation and Language · Computer Science 2024-08-16 Danqing Hu , Bing Liu , Xiaofeng Zhu , Nan Wu

Pathologists find tedious to examine the status of the sentinel lymph node on a large number of pathological scans. The examination process of such lymph node which encompasses metastasized cancer cells is histopathologically organized.…

Computer Vision and Pattern Recognition · Computer Science 2019-06-25 Amit Kumar Jaiswal , Ivan Panshin , Dimitrij Shulkin , Nagender Aneja , Samuel Abramov

Finding, identifying and segmenting suspicious cancer metastasized lymph nodes from 3D multi-modality imaging is a clinical task of paramount importance. In radiotherapy, they are referred to as Lymph Node Gross Tumor Volume (GTVLN).…

Image and Video Processing · Electrical Eng. & Systems 2020-08-28 Zhuotun Zhu , Dakai Jin , Ke Yan , Tsung-Ying Ho , Xianghua Ye , Dazhou Guo , Chun-Hung Chao , Jing Xiao , Alan Yuille , Le Lu

Metastatic presence in lymph nodes is one of the most important prognostic variables of breast cancer. The current diagnostic procedure for manually reviewing sentinel lymph nodes, however, is very time-consuming and subjective.…

Computer Vision and Pattern Recognition · Computer Science 2016-08-05 Richard Chen , Yating Jing , Hunter Jackson

Objectives: To develop and validate a deep learning (DL)-based primary tumor biopsy signature for predicting axillary lymph node (ALN) metastasis preoperatively in early breast cancer (EBC) patients with clinically negative ALN. Methods: A…

Image and Video Processing · Electrical Eng. & Systems 2022-06-09 Feng Xu , Chuang Zhu , Wenqi Tang , Ying Wang , Yu Zhang , Jie Li , Hongchuan Jiang , Zhongyue Shi , Jun Liu , Mulan Jin

The evaluation of lymph node metastases plays a crucial role in achieving precise cancer staging, influencing subsequent decisions regarding treatment options. Lymph node detection poses challenges due to the presence of unclear boundaries…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Sofija Engelson , Jan Ehrhardt , Timo Kepp , Joshua Niemeijer , Heinz Handels

Finding and identifying scatteredly-distributed, small, and critically important objects in 3D oncology images is very challenging. We focus on the detection and segmentation of oncology-significant (or suspicious cancer metastasized) lymph…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Zhuotun Zhu , Ke Yan , Dakai Jin , Jinzheng Cai , Tsung-Ying Ho , Adam P Harrison , Dazhou Guo , Chun-Hung Chao , Xianghua Ye , Jing Xiao , Alan Yuille , Le Lu

Diffuse Large B-cell Lymphoma (DLBCL) is a lymphatic cancer involving one or more lymph nodes and extranodal sites. Its diagnostic and follow-up rely on Positron Emission Tomography (PET) and Computed Tomography (CT). After diagnosis, the…

First-line antiproliferatives for non-small cell lung cancer (NSCLC) have a relatively high failure rate due to high intrinsic resistance rates and acquired resistance rates to therapy. 57% patients are diagnosed in late-stage disease due…

Cell Behavior · Quantitative Biology 2024-01-17 Benjamin Schneider , Sébastien Benzekry , Jonathan Mochel

Malignant mesothelioma is classified into three histological subtypes, Epithelioid, Sarcomatoid, and Biphasic according to the relative proportions of epithelioid and sarcomatoid tumor cells present. Biphasic tumors display significant…

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