A simplified CT-based definition of the lymph node levels in the node negative neck

Wijers, Oda B.; Levendag, Peter C.; Tan, Terence; Dieren, E.B. van; Koste, John van Sörnsen de; Est, Henrie van der; Senan, Suresh; Nowak, Peter

doi:10.1016/s0167-8140(99)00076-6

Cited by 90 publications

(22 citation statements)

References 19 publications

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“…The nodal distribution in the current atlases has been built by compiling different data from gross anatomical, histological, and imaging studies, as well as from conventional atlas books of human anatomy (Rouviére, 1948). Most atlases represent the compiled data on CT crosssections, since CT is the preferred imaging modality to define the target volume for treatment, such as in radiation therapy (Richter and Feyerabend, 1991;Martinez-Monge et al, 1999;Nowak et al, 1999;Wijers et al, 1999;Kiricuta, 2001;Grégoire et al, 2003;Levendag et al, 2004). Crosssections from recent CT-based atlases are shown in Figure 1.…”

Section: Current Lymphatic Atlasesmentioning

confidence: 99%

Three‐dimensional atlas of lymph node topography based on the visible human data set

Qatarneh

Kiricuţă

Brahme³

et al. 2006

The Anatomical Record Part B

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Comprehensive atlases of lymph node topography are necessary tools to provide a detailed description of the lymphatic distribution in relation to other organs and structures. Despite the recent developments of atlases and guidelines focusing on definitions of lymphatic regions, a comprehensive and detailed description of the three-dimensional (3D) nodal distribution is lacking. This article describes a new 3D atlas of lymph node topography based on the digital images of the Visible Human Male Anatomical (VHMA) data set. About 1,200 lymph nodes were localized in the data set and their distribution was compared with data from current cross-sectional lymphatic atlases. The identified nodes were delineated and then labeled with different colors that corresponded to their anatomical locations. A series of 2D illustrations, showing discrete locations, description, and distribution of major lymph nodes, was compiled to form a cross-sectional atlas. The resultant contours of all localized nodes in the VHMA data set were superimposed to develop a volumetric model. A 3D reconstruction was generated for the lymph nodes and surrounding structures. The volumetric lymph node topography was also integrated into the existing VOXEL-MAN digital atlas to obtain an interactive and photo-realistic visualization of the lymph nodes showing their proximity to blood vessels and surrounding organs. The lymph node topography forms part of our whole body atlas database, which includes organs, definitions, and parameters that are related to radiation therapy. The lymph node topography atlas could be utilized for visualization and exploration of the 3D lymphatic distribution to assist in defining the target volume for treatment based on the lymphatic spread surrounding the primary tumor.

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Section: Current Lymphatic Atlasesmentioning

confidence: 99%

Three‐dimensional atlas of lymph node topography based on the visible human data set

Qatarneh

Kiricuţă

Brahme³

et al. 2006

The Anatomical Record Part B

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“…Besides the precise contouring of primary H&N tumors that is often difficult, the accurate, reproducible and time-efficient contouring of elective nodal risk regions represents an even greater challenge. The tentative to implement lymph nodes levels segmentation in the clinical environment were initially based on the translation of the surgical lymph nodes levels to CT-based regions which meant meticulous segmentation of each CT regions on each slice of the planning CT scan, a laborious process that was considered as incompatible with a routine clinical practice [1]. Indeed, experienced H&N cancer specialists generally spend several hours to fully contour and refine desired targets for a single H&N IMRT case.…”

mentioning

confidence: 99%

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Gorthi

Duay

Houhou

et al. 2009

IEEE J. Sel. Top. Signal Process.

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Abstract-In this paper, we present the segmentation of the head and neck lymph node regions using a new active contour-based atlas registration model. We propose to segment the lymph node regions without directly including them in the atlas registration process; instead, they are segmented using the dense deformation field computed from the registration of the atlas structures with distinct boundaries. This approach results in robust and accurate segmentation of the lymph node regions even in the presence of significant anatomical variations between the atlas-image and the patient's image to be segmented. We also present a quantitative evaluation of lymph node regions segmentation using various statistical as well as geometrical metrics: sensitivity, specificity, dice similarity coefficient and Hausdorff distance. A comparison of the proposed method with two other state of the art methods is presented. The robustness of the proposed method to the atlas selection, in segmenting the lymph node regions, is also evaluated.Index Terms-Atlas-based segmentation, head and neck, IMRT, lymph node regions, non-rigid registration, radiotherapy.

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“…A corresponding nodal level classifi cation system based upon landmarks readily identifi able on axial imaging was subsequently proposed by Som et al ( 1999 ). The application of this classifi cation system toward CTV delineation in the neck has been extensively described and has been integrated into multinational cooperative group consensus panel guidelines, summarized in Table 4.2 (Gregoire et al 2000 ;Gregoire and Levendag ;Nowak et al 1999 ;Wijers et al 1999 ) and available online at http://www.rtog.org/corelab/ contouringatlases/hn.aspx . Gregoire et al recently published an extensive review of the literature on the risk of metastases to each neck level, with accompanying elective nodal coverage recommendations by primary tumor site (Gregoire et al 2000 ).…”

Section: Defi Ning the Nodal Levels At Risk In The Neckmentioning

confidence: 99%

Head and Neck Cancer

Vainshtein¹,

Eisbruch²

2015

Target Volume Definition in Radiation Oncology

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A simplified CT-based definition of the lymph node levels in the node negative neck

Cited by 90 publications

References 19 publications

Three‐dimensional atlas of lymph node topography based on the visible human data set

Three‐dimensional atlas of lymph node topography based on the visible human data set

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

Head and Neck Cancer

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