Geometric contour variation in clinical target volume of axillary lymph nodes in breast cancer radiotherapy: an AIRO multi-institutional study.
Maria Cristina LeonardiMatteo PepaSimone Giovanni GugliandoloRosa LuraschiSabrina VigoritoDamaris Patricia RojasMaria Rosa La PortaDomenico CanteEdoardo PetrucciLorenza MarinoGiuseppina BorzìEdy IppolitoMaristella MarroccoAlessandra HuscherMatteo ChieregatoAngela ArgenoneLuciano IadanzaFiorenza De RoseFrancesca LobefaloFrancesca CucciarelliMarco ValentiMaria Carmen De SantisAnna CavalloFrancesca RossiSerenella RussoAgnese PriscoMarika GuernieriRoberta GuarnacciaTiziana MalatestaIlaria MeagliaMarco LiottaPaola Tabarelli de FatisIsabella PalumboMarta MarcantoniniSarah Pia ColangioneEmilio MezzengaSara FaliveneMaria MormileVincenzo RavoCecilia ArrichielloAlessandra FozzaMaria Paola BarberoGiovanni Battista IvaldiGianpiero CatalanoCristiana VidaliCynthia AristeiCaterina GiannittoEleonora MigliettaAntonella CiabattoniIcro MeattiniRoberto OrecchiaFederica CattaniBarbara Alicja Jereczek-FossaPublished in: The British journal of radiology (2021)
The present study compares, by means of validated geometric indexes, manual segmentations of axillary lymph nodes in breast cancer from different observers and different institutions made on radiotherapy planning CT images. Assessing such variability is of paramount importance, as geometric uncertainties might lead to incorrect dosimetry and compromise oncological outcome.
Keyphrases
- lymph node
- early stage
- sentinel lymph node
- neoadjuvant chemotherapy
- radiation therapy
- locally advanced
- computed tomography
- magnetic resonance
- deep learning
- squamous cell carcinoma
- rectal cancer
- magnetic resonance imaging
- radiation induced
- machine learning
- optical coherence tomography
- positron emission tomography
- contrast enhanced
- breast cancer risk
- dual energy