Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study.
To validate autocontouring software (AS) in a clinical practice including a two steps delineation quality assurance (QA) procedure.The existing delineation agreement among experts for rectal cancer and the overlap and time criteria that have to be verified to allow the use of AS were defined.Median Dice Similarity Coefficient (MDSC), Mean slicewise Hausdorff Distances (MSHD) and Total-Time saving (TT) were analyzed.Two expert Radiation Oncologists reviewed CT-scans of 44 patients and agreed the reference-CTV: the first 14 consecutive cases were used to populate the software Atlas and 30 were used as Test.Each expert performed a manual (group A) and an automatic delineation (group B) of 15 Test patients.The delineations were compared with the reference contours.The overlap between the manual and automatic delineations with MDSC and MSHD and the TT were analyzed.Three acceptance criteria were set: MDSC ≥ 0.75, MSHD ≤1mm and TT sparing ≥ 50%.At least 2 criteria had to be met, one of which had to be TT saving, to validate the system.The MDSC was 0.75, MSHD 2.00 mm and the TT saving 55.5% between group A and group B. MDSC among experts was 0.84.Autosegmentation systems in rectal cancer partially met acceptability criteria with the present version.
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Maria A
MA
Gambacorta
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Luca
L
Boldrini
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Chiara
C
Valentini
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Nicola
N
Dinapoli
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Gian C
GC
Mattiucci
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Giuditta
G
Chiloiro
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Danilo
D
Pasini
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Stefania
S
Manfrida
Varian Medical Systems, Product Manager, Clinical Solutions, Palo Alto, CA, USA.
Nicola
N
Caria
Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA.
Bruce D
BD
Minsky
Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy.
Vincenzo
V
Valentini
D000368:Aged; D000465:Algorithms; D019295:Computational Biology; D003198:Computer Simulation; D005260:Female; D006801:Humans; D008159:Lumbar Vertebrae / Q000000981:diagnostic imaging; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D011786:Quality Control; D018787:Radiation Oncology; D011878:Radiotherapy / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D012004:Rectal Neoplasms / Q000473:pathology* / Q000532:radiotherapy*; D015203:Reproducibility of Results; D012984:Software; D014057:Tomography, X-Ray Computed
automatic delineation software; clinical use of automatic delineation software; independent check; rectal cancer; rectal cancer delineation