Target Volume Delineation for Partial Breast Radiotherapy Planning: Clinical Characteristics Associated with Low Interobserver Concordance

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

“…The JI [18][19][20], DICE [4], Hausdorff distance [21] and Kappa (κ) statistic [22,23] outlined in Supplementary Table 1, are metrics commonly used to establish inter-observer variation [6]. JI and DICE values from CERR were verified in 3D Slicer [24][25][26] and MILXview and were consistent to within 2 significant figures.…”

Has Placement of Surgical Clips in the Lumpectomy Bed Fallen Out of Favor?

“…[6][7][8][9] The seroma is a postoperative serous fluid accumulation and is sometimes used to estimate the lumpectomy cavity borders when no metallic marker is present. Seroma formation after lumpectomy, however, is variable, making it difficult to assess the true cavity borders accurately.…”

Delineation of the larynx as organ at risk in radiotherapy: a contouring course within “Rete Oncologica Piemonte-Valle d’Aosta” network to reduce inter- and intraobserver variability

“…Some studies evaluated the variability in target volume delineation using descriptive statistics and parameters describing the distribution of volumes and diameters, such as mean, standard deviation, range, and dispersion of the distribution, such as COV [21][22][23][24][25][26][27][28]. The majority of studies deal with approaches that describe the overlapping area between contoured volumes, using metrics, such as CI and DC [22][23][24][26][27][28][29][30][31]. Moreover, when moving to 3D representation, metrics, such as variation of the COM, allow to evaluate the volume displacements in space [27,32,33].…”