CT-based delineation of lymph node levels and related CTVs in the node-negative neck: DAHANCA, EORTC, GORTEC, NCIC,RTOG consensus guidelines

Grégoire, Vincent; Levendag, Peter C.; Ang, K. Kian; Bernier, Jacques; Braaksma, Marijel; Budach, Volker; Chao, Cliff; Coche, Emmanuel; Cooper, Jay S.; Cosnard, Guy; Eisbruch, Avraham; El‐Sayed, Samy; Emami, Bahman; Grau, Cai; Hamoir, Marc; Lee, Nancy; Maingon, P.; Müller, Karin; Reychler, Hervé

doi:10.1016/j.radonc.2003.09.011

Cited by 607 publications

(417 citation statements)

References 18 publications

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“…It would then be of great interest to develop an anatomical atlas to help the physician to segment automatically structures of interest in this region. Recently, consensus guidelines have been presented for the delineation of neck lymph node levels for radiotherapy planning [11,12]. These are based on precise and clearly identi able anatomical landmarks to determine the limits between the lymph node levels in the patient image.…”

Section: Introductionmentioning

confidence: 99%

“…Using an atlas built from one manually segmented image may therefore lead to discrepancies when registering one patient on the atlas. We have then chosen to build a symmetric mean atlas from a database of patients manually delineated following the rules given in [11].…”

Section: Introductionmentioning

confidence: 99%

“…This database consists of 45 CT images with a voxel size of 1.5 × 1.5 × 2 mm 3 acquired in routine clinical practice. For each of these images, structures of interest have been delineated following the guidelines given in [11] for purposes of radiotherapy planning. The available structures for our atlas were the lymph nodes (levels II, III and IV), the parotids, the brainstem, the spinal cord, the mandible and the sub-mandibular glands.…”

Section: Introductionmentioning

confidence: 99%

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Atlas-based delineation of lymph node levels in head and neck computed tomography images

Commowick

Grégoire

Malandain

2008

Radiotherapy and Oncology

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Atlas-based delineation of lymph node levels in head and neck computed tomography images

Commowick

Grégoire

Malandain

2008

Radiotherapy and Oncology

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“…Delineating treatment targets within DICOM files is complex, operator-dependent, and critical to the accurate delivery of conformal radiotherapy [11][12][13][14][15]. These variabilities in target volume delineation can be a major primary source of inaccuracy of dose delivery and treatment errors [16].…”

Section: Discussionmentioning

confidence: 99%

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

et al. 2010

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The purpose of this study was the prospective comparison of objective and subjective effects of target volume region of interest (ROI) delineation using mousekeyboard and pen-tablet user input devices (UIDs). The study was designed as a prospective test/retest sequence, with Wilcoxon signed rank test for matchedpair comparison. Twenty-one physician-observers contoured target volume ROIs on four standardized cases (representative of brain, prostate, lung, and head and neck malignancies) twice: once using QWERTY keyboard/scroll-wheel mouse UID and once with pen-tablet UID (DTX2100, Wacom Technology Corporation, Vancouver, WA, USA). Active task time, ROI manipulation task data, and subjective survey data were collected. One hundred twenty-nine target volume ROI sets were collected, with 62 paired pen-tablet/mouse-keyboard sessions. Active contouring time was reduced using the pen-tablet UID, with mean ± SD active contouring time of 26 ±23 min, compared with 32 ± 25 with the mouse (p ≤ 0.01). Subjective estimation of time spent was also reduced from 31 ±26 with mouse to 27 ± 22 min with the pen (p = 0.02). Task analysis showed ROI correction task reduction (p = 0.045) and decreased panning and scrolling tasks (p < 0.01) with the pen-tablet; drawing, window/ level changes, and zoom commands were unchanged (p = n.s.) Volumetric analysis demonstrated no detectable differences in ROI volume nor intra-or inter-observer volumetric coverage. Fifty-two of 62 (84%) users preferred the tablet for each contouring task; 5 of 62 (8%) denoted no preference, and 5 of 62 (8%) chose the mouse interface. The pen-tablet UID reduced active contouring time and reduced correction of ROIs, without substantially altering ROI volume/coverage.

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“…For these reasons, it is increasingly important to provide standardised recommendations and guidelines for IMRT planning. Indeed, guidelines are beginning to emerge with specific recommendations for nodal coverage targets based on tumour location and stage (Eisbruch et al, 2002;Gregoire et al, 2003;Levendag et al, 2004).…”

Section: Imrt Precautionsmentioning

confidence: 99%

Intensity-modulated radiation therapy: emerging cancer treatment technology

et al. 2005

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The use of intensity-modulated radiation therapy (IMRT) is rapidly advancing in the field of radiation oncology. Intensity-modulated radiation therapy allows for improved dose conformality, thereby affording the potential to decrease the spectrum of normal tissue toxicities associated with IMRT. Preliminary results with IMRT are quite promising; however, the clinical data is relatively immature and overall patient numbers remain small. High-quality IMRT requires intensive physics support and detailed knowledge of threedimensional anatomy and patterns of tumour spread. This review focuses on basic principles, and highlights the clinical implementation of IMRT in head and neck and prostate cancer.

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CT-based delineation of lymph node levels and related CTVs in the node-negative neck: DAHANCA, EORTC, GORTEC, NCIC,RTOG consensus guidelines

Cited by 607 publications

References 18 publications

Atlas-based delineation of lymph node levels in head and neck computed tomography images

Atlas-based delineation of lymph node levels in head and neck computed tomography images

Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices

Intensity-modulated radiation therapy: emerging cancer treatment technology

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