Daniela Alterio1, Delia Ciardo2, Lorenzo Preda3, Angela Argenone4, Orietta Caspiani5, Renato Micera6, Maria G Ruo Redda7, Elvio G Russi8, Ernestina Bianchi9, Ester Orlandi10, Almalina Bacigalupo11, Mario Busetto12, Domenico Cante13, Letizia Deantonio14, Vitaliana De Sanctis15, Pierfrancesco Franco16, Luciana Lastrucci17, Laura Marucci18, Anna Merlotti19, Marinella Molteni20, Fabiola Pajar21, Monica Rampino22, Luigi Santoro23, Annamaria Ferrari2, Federica Bazzani2, Mariangela Caputo2, Antonio Laudati9, Valentina Borzillo4, Sara Falivene24, Nicola Simoni6, Federica Vigo6, Eva Iannacone10, Alessia Reali8, Alessio Bonanni5, Mariavittoria Leone5, Luca Giannello8, Riccardo Vigna Taglianti8, Roberto Orecchia25. 1. Advanced Radiotherapy Center, European Institute of Oncology, Milan, Italy. Electronic address: daniela.alterio@ieo.it. 2. Advanced Radiotherapy Center, European Institute of Oncology, Milan, Italy. 3. Division of Radiology, Istituto Europeo di Oncologia, Milano, Italy. 4. Istituto Nazionale per lo studio e la cura dei tumori, Fondazione G.Pascale IRCCS Napoli, Italy. 5. Ospedale Fatebenefratelli Isola Tiberina, Roma, Italy. 6. Ospedale S. Maria Nuova, Reggio Emilia, Italy. 7. Azienda Ospedaliera - Universitaria "San Luigi Gonzaga" di Orbassano, Università di Torino, Italy. 8. Ospedale S. Croce e Carle, Cuneo, Italy. 9. Ospedale S. Anna, Como, Italy. 10. Fondazione IRCSS Istituto Nazionale dei Tumori, Milano, Italy. 11. IRCSS AOU San Martino IST, Genova, Italy. 12. Ospedale dell'Angelo, Mestre, Italy. 13. Ospedale di Ivrea, Italy. 14. S.C. Radioterapia AOU Maggiore della Carità, Università degli Studi del Piemonte Orientale, Novara, Italy. 15. Dipartimento di scienze medico-chirurgiche e medicina traslazionale, "Sapienza" Università di Roma, Università La Sapienza, Italy. 16. Radiation Oncology Department - TomoTherapy Unit, AUSL Valle d'Aosta, Aosta, Italy. 17. U.O.C. Radioterapia, Ospedale S. Donato Arezzo, Italy. 18. Istituto Nazionale Tumori Regina Elena, Roma, Italy. 19. Azienda Ospedaliera di Busto Arsizio, Varese, Italy. 20. Ospedale di Circolo, Varese, Italy. 21. Azienda Ospedaliera Universitaria Careggi, Università di Firenze, Italy. 22. Ospedale S. Giovanni Battista, Università di Torino, Italy. 23. Division of Epidemiology and Biostatistics, Istituto Europeo di Oncologia, Milano, Italy. 24. Seconda Università degli Studi di Napoli, Italy. 25. Advanced Radiotherapy Center, European Institute of Oncology, Milan, Italy; Università di Milano, Italy.
Abstract
BACKGROUND AND PURPOSE: Irradiation of the Pharyngeal Superior Constrictor Muscle (PSCM) seems to play a crucial role in radiation-related swallowing dysfunctions. Purpose of our study was to quantify operator-related variability in the contouring of PSCM on Computed Tomography (CT) scans and adherence with contours derived from MR images. MATERIALS AND METHODS: Three sets of treatment planning CT and their corresponding MR images were selected. Contouring of the PSCM was performed using both a literature-based method, derived from literature review, and an optimized method, derived from Magnetic Resonance (MR) images thus obtaining "literature-based" and "optimized" contours. Each operator contoured the PSCM on CT scans according to both methods for three times in three different days. Inter- and intra-operator variability and adherence to a contour obtained from MR images (named "MR-derived" contour) were analyzed. RESULTS: Thirty-four operators participated and 612 contours were obtained. Both intra- and inter-operator variability and adherence to the "MR-derived" contour were significantly different between the two methods (p⩽0.05). The "optimized" method showed a lower intra- and inter-operator variability and a higher adherence to the "MR-derived" contour. CONCLUSIONS: The "optimized" method ameliorates both operator-related variability and adherence with MR images.
BACKGROUND AND PURPOSE: Irradiation of the Pharyngeal Superior Constrictor Muscle (PSCM) seems to play a crucial role in radiation-related swallowing dysfunctions. Purpose of our study was to quantify operator-related variability in the contouring of PSCM on Computed Tomography (CT) scans and adherence with contours derived from MR images. MATERIALS AND METHODS: Three sets of treatment planning CT and their corresponding MR images were selected. Contouring of the PSCM was performed using both a literature-based method, derived from literature review, and an optimized method, derived from Magnetic Resonance (MR) images thus obtaining "literature-based" and "optimized" contours. Each operator contoured the PSCM on CT scans according to both methods for three times in three different days. Inter- and intra-operator variability and adherence to a contour obtained from MR images (named "MR-derived" contour) were analyzed. RESULTS: Thirty-four operators participated and 612 contours were obtained. Both intra- and inter-operator variability and adherence to the "MR-derived" contour were significantly different between the two methods (p⩽0.05). The "optimized" method showed a lower intra- and inter-operator variability and a higher adherence to the "MR-derived" contour. CONCLUSIONS: The "optimized" method ameliorates both operator-related variability and adherence with MR images.
Authors: Mischa de Ridder; Cornelis P J Raaijmakers; Frank A Pameijer; Remco de Bree; Floris C J Reinders; Patricia A H Doornaert; Chris H J Terhaard; Marielle E P Philippens Journal: Cancers (Basel) Date: 2022-06-20 Impact factor: 6.575
Authors: Steffi U Pigorsch; Severin Kampfer; Markus Oechsner; Michael C Mayinger; Petra Mozes; Michal Devecka; Kerstin K Kessel; Stephanie E Combs; Jan J Wilkens Journal: Radiat Oncol Date: 2020-11-02 Impact factor: 3.481