R. Martinez-monge et al., Cross-sectional nodal atlas: A tool for the definition of clinical target volumes in three-dimensional radiation therapy planning, RADIOLOGY, 211(3), 1999, pp. 815-828
Citations number
6
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Medical Research Diagnosis & Treatment
When radiation is used with curative intent, the radiation volume usually e
ncompasses the detectable tumor and the anatomic areas thought to be at ris
k for metastatic spread. The International Commission on Radiation Units an
d Measurements Report No. 50 (1) defines gross tumor volume (GTV) as the gr
oss palpable or visible or demonstrable extent and location of the malignan
t growth. The same report defines clinical target volume (CTV) as a volume
that contains a demonstrable GTV and or is considered to contain (only) mic
roscopic, subclinical extensions at a certain probability level. In clinica
l practice, the determination of the extent of the CTV is based on the know
ledge of the patterns of spread for each specific disease presentation. Add
itional reliable information can be obtained from patterns-of-failure analy
sis and necropsy series. For most tumors, the CTV will encompass one or mor
e nodal stations, usually near the primary lesion. Traditionally, the locat
ion and boundaries of these nodal stations have been established in referen
ce to anatomic landmarks during the standard simulation setup. Therefore, t
he radiation oncologist has been specifically trained to determine the boun
daries of the different nodal stations on standard two-dimensional radiogra
phs, especially in the anteroposterior and posteroanterior views. With the
advent of three-dimensional (3D) virtual clinical target definition, the ra
diation oncologist faces the challenge of defining the CTV on cross-section
al CT or magnetic resonance images. Unfamiliarity with this new technique c
an make correlations with the known spatial references difficult to establi
sh. The present nodal atlas is intended to assist radiation oncologists who
will use new 3D virtual clinical target definition and treatment planning
programs.