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Marruecos Querol J, Jurado-Bruggeman D, Lopez-Vidal A, Mesía Nin R, Rubió-Casadevall J, Buxó M, Eraso Urien A. Contouring aid tools in radiotherapy. Smoothing: the false friend. Clin Transl Oncol 2024; 26:1956-1967. [PMID: 38493446 DOI: 10.1007/s12094-024-03420-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 02/23/2024] [Indexed: 03/19/2024]
Abstract
OBJECTIVE Contouring accuracy is critical in modern radiotherapy. Several tools are available to assist clinicians in this task. This study aims to evaluate the performance of the smoothing tool in the ARIA system to obtain more consistent volumes. METHODS Eleven different geometric shapes were delineated in ARIA v15.6 (Sphere, Cube, Square Prism, Six-Pointed Star Prism, Arrow Prism, And Cylinder and the respective volumes at 45° of axis deviation (_45)) in 1, 3, 5, 7, and 10 cm side or diameter each. Post-processing drawing tools to smooth those first-generated volumes were applied in different options (2D-ALL vs 3D) and grades (1, 3, 5, 10, 15, and 20). These volumetric transformations were analyzed by comparing different parameters: volume changes, center of mass, and DICE similarity coefficient index. Then we studied how smoothing affected two different volumes in a head and neck cancer patient: a single rounded node and the volume delineating cervical nodal areas. RESULTS No changes in data were found between 2D-ALL or 3D smoothing. Minimum deviations were found (range from 0 to 0.45 cm) in the center of mass. Volumes and the DICE index decreased as the degree of smoothing increased. Some discrepancies were found, especially in figures with cleft and spikes that behave differently. In the clinical case, smoothing should be applied only once throughout the target delineation process, preferably in the largest volume (PTV) to minimize errors. CONCLUSION Smoothing is a good tool to reduce artifacts due to the manual delineation of radiotherapy volumes. The resulting volumes must be always carefully reviewed.
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Affiliation(s)
- Jordi Marruecos Querol
- Radiation Oncology Department, Catalan Institute of Oncology, Girona, Spain.
- Research Group in Radiation Oncology and Medical Physics of Girona, Girona Biomedical Research Institute (IDIBGI), Girona, Spain.
- Department of Radiation Oncology, ICO, Girona, Spain.
| | - Diego Jurado-Bruggeman
- Research Group in Radiation Oncology and Medical Physics of Girona, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
- Medical Physics and Radiation Protection Department, Catalan Institute of Oncology, Girona, Spain
| | - Anna Lopez-Vidal
- Medical Oncology Department, Catalan Institute of Oncology, Girona, Spain
| | - Ricard Mesía Nin
- Medical Oncology Department, Catalan Institute of Oncology, B-ARGO Group, IGTP, Badalona, Spain
| | | | - Maria Buxó
- Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Aranzazu Eraso Urien
- Radiation Oncology Department, Catalan Institute of Oncology, Girona, Spain
- Research Group in Radiation Oncology and Medical Physics of Girona, Girona Biomedical Research Institute (IDIBGI), Girona, Spain
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Najem E, Marin T, Zhuo Y, Lahoud RM, Tian F, Beddok A, Rozenblum L, Xing F, Moteabbed M, Lim R, Liu X, Woo J, Lostetter SJ, Lamane A, Chen YLE, Ma C, El Fakhri G. The role of 18F-FDG PET in minimizing variability in gross tumor volume delineation of soft tissue sarcomas. Radiother Oncol 2024; 194:110186. [PMID: 38412906 PMCID: PMC11042980 DOI: 10.1016/j.radonc.2024.110186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND Accurate gross tumor volume (GTV) delineation is a critical step in radiation therapy treatment planning. However, it is reader dependent and thus susceptible to intra- and inter-reader variability. GTV delineation of soft tissue sarcoma (STS) often relies on CT and MR images. PURPOSE This study investigates the potential role of 18F-FDG PET in reducing intra- and inter-reader variability thereby improving reproducibility of GTV delineation in STS, without incurring additional costs or radiation exposure. MATERIALS AND METHODS Three readers performed independent GTV delineation of 61 patients with STS using first CT and MR followed by CT, MR, and 18F-FDG PET images. Each reader performed a total of six delineation trials, three trials per imaging modality group. Dice Similarity Coefficient (DSC) score and Hausdorff distance (HD) were used to assess both intra- and inter-reader variability using generated simultaneous truth and performance level estimation (STAPLE) GTVs as ground truth. Statistical analysis was performed using a Wilcoxon signed-ranked test. RESULTS There was a statistically significant decrease in both intra- and inter-reader variability in GTV delineation using CT, MR 18F-FDG PET images vs. CT and MR images. This was translated by an increase in the DSC score and a decrease in the HD for GTVs drawn from CT, MR and 18F-FDG PET images vs. GTVs drawn from CT and MR for all readers and across all three trials. CONCLUSION Incorporation of 18F-FDG PET into CT and MR images decreased intra- and inter-reader variability and subsequently increased reproducibility of GTV delineation in STS.
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Affiliation(s)
- Elie Najem
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Thibault Marin
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA
| | - Yue Zhuo
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA
| | - Rita Maria Lahoud
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Fei Tian
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Arnaud Beddok
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Laura Rozenblum
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Fangxu Xing
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Maryam Moteabbed
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA; Radiation Oncology Department, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Ruth Lim
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA
| | - Xiaofeng Liu
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA
| | - Jonghye Woo
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Stephen John Lostetter
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Abdallah Lamane
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA
| | - Yen-Lin Evelyn Chen
- Gordon Center for Medical Imaging, Radiology Department, Massachusetts General Hospital - Harvard Medical School, 125 Nashua St., 25 Shattuck St., Boston, MA 02114, USA; Radiation Oncology Department, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
| | - Chao Ma
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA
| | - Georges El Fakhri
- Yale PET Center, Dept. of Radiology and Biomedical Imaging, Yale University, 801 Howard Avenue, New Haven, CT 06520, USA.
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Dei D, Lambri N, Stefanini S, Vernier V, Brioso RC, Crespi L, Clerici E, Bellu L, De Philippis C, Loiacono D, Navarria P, Reggiori G, Bramanti S, Rodari M, Tomatis S, Chiti A, Carlo-Stella C, Scorsetti M, Mancosu P. Internal Guidelines for Reducing Lymph Node Contour Variability in Total Marrow and Lymph Node Irradiation. Cancers (Basel) 2023; 15:1536. [PMID: 36900326 PMCID: PMC10000500 DOI: 10.3390/cancers15051536] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/21/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
BACKGROUND The total marrow and lymph node irradiation (TMLI) target includes the bones, spleen, and lymph node chains, with the latter being the most challenging structures to contour. We evaluated the impact of introducing internal contour guidelines to reduce the inter- and intraobserver lymph node delineation variability in TMLI treatments. METHODS A total of 10 patients were randomly selected from our database of 104 TMLI patients so as to evaluate the guidelines' efficacy. The lymph node clinical target volume (CTV_LN) was recontoured according to the guidelines (CTV_LN_GL_RO1) and compared to the historical guidelines (CTV_LN_Old). Both topological (i.e., Dice similarity coefficient (DSC)) and dosimetric (i.e., V95 (the volume receiving 95% of the prescription dose) metrics were calculated for all paired contours. RESULTS The mean DSCs were 0.82 ± 0.09, 0.97 ± 0.01, and 0.98 ± 0.02, respectively, for CTV_LN_Old vs. CTV_LN_GL_RO1, and between the inter- and intraobserver contours following the guidelines. Correspondingly, the mean CTV_LN-V95 dose differences were 4.8 ± 4.7%, 0.03 ± 0.5%, and 0.1 ± 0.1%. CONCLUSIONS The guidelines reduced the CTV_LN contour variability. The high target coverage agreement revealed that historical CTV-to-planning-target-volume margins were safe, even if a relatively low DSC was observed.
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Affiliation(s)
- Damiano Dei
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Nicola Lambri
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Sara Stefanini
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Veronica Vernier
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Ricardo Coimbra Brioso
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Leonardo Crespi
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
- Health Data Science Centre, Human Technopole, 20157 Milan, Italy
| | - Elena Clerici
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Luisa Bellu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Chiara De Philippis
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Daniele Loiacono
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Pierina Navarria
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Giacomo Reggiori
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Stefania Bramanti
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marcello Rodari
- Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Stefano Tomatis
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Arturo Chiti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Nuclear Medicine, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Carmelo Carlo-Stella
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Oncology and Hematology, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marta Scorsetti
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Pietro Mancosu
- Department of Radiotherapy and Radiosurgery, IRCCS Humanitas Research Hospital, via Manzoni 56, Rozzano, 20089 Milan, Italy
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Shusharina N, Liu X, Coll-Font J, Foster A, El Fakhri G, Woo J, Bortfeld T, Nguyen C. Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging. Phys Med Biol 2022; 67. [PMID: 35817048 PMCID: PMC9344976 DOI: 10.1088/1361-6560/ac8045] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/11/2022] [Indexed: 11/11/2022]
Abstract
Abstract
Objective. Soft-tissue sarcoma spreads preferentially along muscle fibers. We explore the utility of deriving muscle fiber orientations from diffusion tensor MRI (DT-MRI) for defining the boundary of the clinical target volume (CTV) in muscle tissue. Approach. We recruited eight healthy volunteers to acquire MR images of the left and right thigh. The imaging session consisted of (a) two MRI spin-echo-based scans, T1- and T2-weighted; (b) a diffusion weighted (DW) spin-echo-based scan using an echo planar acquisition with fat suppression. The thigh muscles were auto-segmented using the convolutional neural network. DT-MRI data were used as a geometry encoding input to solve the anisotropic Eikonal equation with the Hamiltonian Fast-Marching method. The isosurfaces of the solution modeled the CTV boundary. Main results. The auto-segmented muscles of the thigh agreed with manually delineated with the Dice score ranging from 0.8 to 0.94 for different muscles. To validate our method of deriving muscle fiber orientations, we compared anisotropy of the isosurfaces across muscles with different anatomical orientations within a thigh, between muscles in the left and right thighs of each subject, and between different subjects. The fiber orientations were identified reproducibly across all comparisons. We identified two controlling parameters, the distance from the gross tumor volume to the isosurface and the eigenvalues ratio, to tailor the proposed CTV to the satisfaction of the clinician. Significance. Our feasibility study with healthy volunteers shows the promise of using muscle fiber orientations derived from DW MRI data for automated generation of anisotropic CTV boundary in soft tissue sarcoma. Our contribution is significant as it serves as a proof of principle for combining DT-MRI information with tumor spread modeling, in contrast to using moderately informative 2D CT planes for the CTV delineation. Such improvements will positively impact the cancer centers with a small volume of sarcoma patients.
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Cooper BT, Goenka A, Sine K, Lee JY, Chon BH, Tsai HK, Hug EB, Fontanilla HP. Development of a Comprehensive, Contour-Based, Peer Review Workflow at a Community Proton Center. Int J Part Ther 2020; 7:34-40. [PMID: 33094134 PMCID: PMC7574826 DOI: 10.14338/ijpt-19-00059.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 04/23/2020] [Indexed: 11/21/2022] Open
Abstract
Purpose Quality assurance and continuing quality improvement are integral parts of any radiation oncology practice. With increasingly conformal radiation treatments, it has become critical to focus on every slice of the target contour to ensure adequate tumor coverage and optimal normal tissue sparing. Proton therapy centers open internationally with increasing frequency, and radiation oncologists with varying degrees of subspecialization apply proton therapy in daily practice. Precise treatment with proton therapy allows us to limit toxicity but requires in-depth knowledge of the unique properties of proton beam delivery. To address this need at our proton therapy center, we developed a comprehensive peer review program to help improve the quality of care that we were providing for our patients. Materials and Methods We implemented a policy of comprehensive peer review for all patients treated at our community proton facility starting in January 2013. Peer review begins at the time of referral with prospective cases being reviewed for appropriateness for proton therapy at daily rounds. There is then biweekly review of target contouring and treatment plans. Results During a 6-month period from June 2013 to November 2013, a total of 223 new patients were treated. Documentation of peer review at chart rounds was completed for 222 of the 223 patients (99.6%). An average of 10.7 cases were reviewed in each biweekly chart rounds session, with a total of 560 case presentations. The average time required for contour review was 145 seconds (±71 seconds) and plan review was 120 seconds (±64 seconds). Modifications were suggested for 21 patients (7.9%) during contour review and for 19 patients (6.4%) during treatment plan review. An average of 4 physicians were present at each session. Conclusions We demonstrated that the implementation of a comprehensive, prospective peer review program is feasible in the community setting. This article can serve as a framework for future quality assurance programs.
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Affiliation(s)
- Benjamin T Cooper
- Department of Radiation Oncology, NYU Langone Health, New York, NY, USA
| | - Anuj Goenka
- Department of Radiation Medicine, Northwell Health, Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY, USA
| | - Kevin Sine
- Procure Proton Therapy Center, Somerset, NJ, USA
| | - Jae Y Lee
- Procure Proton Therapy Center, Somerset, NJ, USA.,Princeton Radiation Oncology, Princeton, NJ, USA
| | - Brian H Chon
- Procure Proton Therapy Center, Somerset, NJ, USA
| | - Henry K Tsai
- Procure Proton Therapy Center, Somerset, NJ, USA.,Princeton Radiation Oncology, Princeton, NJ, USA
| | - Eugen B Hug
- Procure Proton Therapy Center, Somerset, NJ, USA
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Growcott S, Dembrey T, Patel R, Eaton D, Cameron A. Inter-Observer Variability in Target Volume Delineations of Benign and Metastatic Brain Tumours for Stereotactic Radiosurgery: Results of a National Quality Assurance Programme. Clin Oncol (R Coll Radiol) 2020; 32:13-25. [DOI: 10.1016/j.clon.2019.06.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 05/21/2019] [Indexed: 11/28/2022]
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Caravatta L, Cellini F, Simoni N, Rosa C, Niespolo RM, Lupattelli M, Picardi V, Macchia G, Sainato A, Mantello G, Dionisi F, Rosetto ME, Fusco V, Navarria F, De Paoli A, Guido A, Vecchi C, Basilico R, Cianci R, Delli Pizzi A, Di Nicola M, Mattiucci GC, Valentini V, Morganti AG, Genovesi D. Magnetic resonance imaging (MRI) compared with computed tomography (CT) for interobserver agreement of gross tumor volume delineation in pancreatic cancer: a multi-institutional contouring study on behalf of the AIRO group for gastrointestinal cancers. Acta Oncol 2019; 58:439-447. [PMID: 30632876 DOI: 10.1080/0284186x.2018.1546899] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Due to the high soft tissue resolution, magnetic resonance imaging (MRI) could improve the accuracy of pancreatic tumor delineation in radiation treatment planning. A multi-institutional study was proposed to evaluate the impact of MRI on inter-observer agreement in gross tumor volume (GTV) and duodenum delineation for pancreatic cancer compared with computer tomography (CT). MATERIAL AND METHODS Two clinical cases of borderline resectable (Case 1) and unresectable (Case 2) pancreatic cancer were selected. In two sequential steps, diagnostic contrast-enhanced CT scan and MRI sequences were sent to the participating centers. CT-GTVs were contoured while blinded to MRI data sets. DICE index was used to evaluate the spatial overlap accuracy. RESULTS Thirty-one radiation oncologists from different Institutions submitted the delineated volumes. CT- and MRI-GTV mean volumes were 21.6 ± 9.0 cm3 and 17.2 ± 6.0 cm3, respectively for Case 1, and 31.3 ± 15.6 cm3 and 33.2 ± 20.2 cm3, respectively for Case 2. Resulting MRI-GTV mean volume was significantly smaller than CT-GTV in the borderline resectable case (p < .05). A substantial agreement was shown by the median DICE index for CT- and MRI-GTV resulting as 0.74 (IQR: 0.67-0.75) and 0.61 (IQR: 0.57-0.67) for Case 1; a moderate agreement was instead reported for Case 2: 0.59 (IQR:0.52-0.66) and 0.53 (IQR:0.42-0.62) for CT- and MRI-GTV, respectively. CONCLUSION Diagnostic MRI resulted in smaller GTV in borderline resectable case with a substantial agreement between observers, and was comparable to CT scan in interobserver variability, in both cases. The greater variability in the unresectable case underlines the critical issues related to the outlining when vascular structures are more involved. The integration of MRI with contrast-enhancement CT, thanks to its high definition of tumor relationship with neighboring vessels, could offer a greater accuracy of target delineation.
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Affiliation(s)
- Luciana Caravatta
- Department of Radiotherapy, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
| | - Francesco Cellini
- Gemelli Advanced Radiation Therapy Center Fondazione Policlinico Universitario ‘A. Gemelli’ Catholic University of Sacred Heart, Rome, Italy
| | - Nicola Simoni
- Radiotherapy Unit Azienda Ospedaliera Universitaria, Verona, Italy
| | - Consuelo Rosa
- Department of Radiotherapy, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
| | | | - Marco Lupattelli
- Radiation Oncology Section University of Perugia and Perugia General Hospital, Perugia, Italy
| | - Vincenzo Picardi
- Radiotherapy Unit Department of Oncology, ‘Giovanni Paolo II’ Foundation Catholic University of Sacred Heart, Campobasso, Italy
| | - Gabriella Macchia
- Radiotherapy Unit Department of Oncology, ‘Giovanni Paolo II’ Foundation Catholic University of Sacred Heart, Campobasso, Italy
| | - Aldo Sainato
- Radiotherapy Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | | | - Francesco Dionisi
- Proton Therapy Unit, Department of Oncology, Azienda Provinciale per i Servizi Sanitari, APSS, Trento, Italy
| | | | - Vincenzo Fusco
- Department of Radiation Oncology, Centro di Riferimento Oncologico Regionale, Rionero in Vulture, Potenza, Italy
| | - Federico Navarria
- Department of Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy
| | - Antonino De Paoli
- Department of Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy
| | - Alessandra Guido
- Radiation Oncology Center, Department of Experimental Diagnostic and Specialty Medicine - DIMES, University of Bologna, S. Orsola-Malpighi Hospital, Bologna, Italy
| | | | - Raffaella Basilico
- Department of Radiology, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
| | - Roberta Cianci
- Department of Radiology, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
| | - Andrea Delli Pizzi
- Department of Radiology, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
| | - Marta Di Nicola
- Laboratory of Biostatistics Department of Medical, Oral and Biotechnological Sciences ‘G. D'Annunzio’ University, Chieti, Italy
| | - Gian Carlo Mattiucci
- Gemelli Advanced Radiation Therapy Center Fondazione Policlinico Universitario ‘A. Gemelli’ Catholic University of Sacred Heart, Rome, Italy
| | - Vincenzo Valentini
- Gemelli Advanced Radiation Therapy Center Fondazione Policlinico Universitario ‘A. Gemelli’ Catholic University of Sacred Heart, Rome, Italy
| | - Alessio Giuseppe Morganti
- Radiation Oncology Center, Department of Experimental Diagnostic and Specialty Medicine - DIMES, University of Bologna, S. Orsola-Malpighi Hospital, Bologna, Italy
| | - Domenico Genovesi
- Department of Radiotherapy, ‘SS Annunziata’ Hospital ‘G. D’Annunzio’ University, Chieti, Italy
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Inter-observer variability of clinical target volume delineation in definitive radiotherapy of neck lymph node metastases from unknown primary. A cooperative study of the Italian Association of Radiotherapy and Clinical Oncology (AIRO) Head and Neck Group. Radiol Med 2019; 124:682-692. [PMID: 30852793 DOI: 10.1007/s11547-019-01006-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 02/11/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND This study, promoted by Italian Association of Radiotherapy and Clinical Oncology (AIRO) Head and Neck Group, aimed to assess the current national practice of target volume delineation on a case of neck lymph node metastases from unknown primary evaluating inter-observer variability, in a setting of primary radiotherapy. MATERIALS AND METHODS A case of metastatic neck lymph node from occult primary was proposed to 17 radiation oncologists. A national reference RT center was identified and considered as benchmark. Participants were requested to delineate target volumes. A structured questionnaire was administered. A comparison between following parameters of the CTVs was performed: centroids distances, Dice similarity index (DSI), Jaccard index and mean distance to agreement (MDA). Volume expressed in cubic centimeters and CTVs cranio-caudal extension were evaluated. RESULTS Sixteen of 17 radiation oncologists recommended three CTVs dose levels. (CTV HD, CTV ID and CTV LD); CTV ID was not delineated by one of the participants and by the reference center. The distance between the reference centroid and the mean centroid of CTVs HD was 1.09 cm (0.36-3.99 cm); for CTV LD, a mean centroids distance of 2.45 (0.27-4.83 cm) was found, and for CTV HD, mean DSI is 0.48 and mean Jaccard index is 0.32 and MDA was 8.89 mm. CTV LD showed a mean DSI of 0.46, mean Jaccard index of 0.31 and MDA of 14.87 when compared to the reference. CONCLUSION Many aspects concerning treatment optimization of cervical nodes metastases from occult primary remain unclear, and we found a notable heterogeneity of global radiotherapy management reporting discordances both in target volume delineation and volume prescription.
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Versteijne E, Gurney-Champion OJ, van der Horst A, Lens E, Kolff MW, Buijsen J, Ebrahimi G, Neelis KJ, Rasch CRN, Stoker J, van Herk M, Bel A, van Tienhoven G. Considerable interobserver variation in delineation of pancreatic cancer on 3DCT and 4DCT: a multi-institutional study. Radiat Oncol 2017; 12:58. [PMID: 28335780 PMCID: PMC5364627 DOI: 10.1186/s13014-017-0777-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Accepted: 02/06/2017] [Indexed: 12/13/2022] Open
Abstract
Background The delineation of pancreatic tumors on CT is challenging. In this study, we quantified the interobserver variation for pancreatic tumor delineation on 3DCT as well as on 4DCT. Methods Eight observers (radiation oncologists) from six institutions delineated pancreatic tumors of four patients with (borderline) resectable pancreatic cancer. The study consisted of two stages. In the 3DCT-stage, the gross tumor volume (GTV) was delineated on a contrast-enhanced scan. In the 4DCT-stage, the internal GTV (iGTV) was delineated, accounting for the respiratory motion. We calculated the volumes of the (i)GTV, the overlap of the delineated volumes (expressed as generalized conformity index: CIgen), the local observer variation (local standard deviation: SD) and the overall observer variation (overall SD). We compared these results between GTVs and iGTVs. Additionally, observers were asked to fill out a questionnaire concerning the difficulty of the delineation and their experience in delineating pancreatic tumors. Results The ratios of the largest to the smallest delineated GTV and iGTV within the same patient were 6.8 and 16.5, respectively. As the iGTV incorporates the GTV during all respiratory phases, the mean volumes of the iGTV (40.07 cm3) were larger than those of the GTV (29.91 cm3). For all patients, CIgen was larger for the iGTV than for the GTV. The mean overall observer variation (root-mean-square of all local SDs over four patients) was 0.63 cm and 0.80 cm for GTV and iGTV, respectively. The largest local observer variations were seen close to biliary stents and suspicious pathological enlarged lymph nodes, as some observers included them and some did not. This variation was more pronounced for the iGTV than for the GTV. The observers rated the 3DCT-stage and 4DCT-stage equally difficult and treated on average three to four pancreatic cancer patients per year. Conclusions A considerable interobserver variation in delineation of pancreatic tumors was observed. This variation was larger for 4D than for 3D delineation. The largest local observer variation was found around biliary stents and suspicious pathological enlarged lymph nodes. Electronic supplementary material The online version of this article (doi:10.1186/s13014-017-0777-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Eva Versteijne
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Oliver J Gurney-Champion
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.,Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Astrid van der Horst
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Eelco Lens
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - M Willemijn Kolff
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Jeroen Buijsen
- Department of Radiation Oncology, MAASTRO clinic, Doctor Tanslaan 12, 6229 ET, Maastricht, The Netherlands
| | - Gati Ebrahimi
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Karen J Neelis
- Department of Radiation Oncology, Leiden University Medical Center, Leiden University, Postbus 9600, 2300 RC, Leiden, The Netherlands
| | - Coen R N Rasch
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Marcel van Herk
- Faculty of Biology, Medicine & Health, Division of Molecular & Clinical Cancer Sciences, University of Manchester and Christie NHS trust, Oxford Road Manchester, M13 9PL, Manchester, United Kingdom
| | - Arjan Bel
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Geertjan van Tienhoven
- Department of Radiation Oncology, Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
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Vinod SK, Jameson MG, Min M, Holloway LC. Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies. Radiother Oncol 2016; 121:169-179. [PMID: 27729166 DOI: 10.1016/j.radonc.2016.09.009] [Citation(s) in RCA: 220] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2016] [Revised: 08/27/2016] [Accepted: 09/25/2016] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Volume delineation is a well-recognised potential source of error in radiotherapy. Whilst it is important to quantify the degree of interobserver variability (IOV) in volume delineation, the resulting impact on dosimetry and clinical outcomes is a more relevant endpoint. We performed a literature review of studies evaluating IOV in target volume and organ-at-risk (OAR) delineation in order to analyse these with respect to the metrics used, reporting of dosimetric consequences, and use of statistical tests. METHODS AND MATERIALS Medline and Pubmed databases were queried for relevant articles using keywords. We included studies published in English between 2000 and 2014 with more than two observers. RESULTS 119 studies were identified covering all major tumour sites. CTV (n=47) and GTV (n=38) were most commonly contoured. Median number of participants and data sets were 7 (3-50) and 9 (1-132) respectively. There was considerable heterogeneity in the use of metrics and methods of analysis. Statistical analysis of results was reported in 68% (n=81) and dosimetric consequences in 21% (n=25) of studies. CONCLUSION There is a lack of consistency in conducting and reporting analyses from IOV studies. We suggest a framework to use for future studies evaluating IOV.
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Affiliation(s)
- Shalini K Vinod
- Cancer Therapy Centre, Liverpool Hospital, Australia; South Western Sydney Clinical School, University of New South Wales, Australia; Western Sydney University, Australia.
| | - Michael G Jameson
- Cancer Therapy Centre, Liverpool Hospital, Australia; Ingham Institute of Applied Medical Research, Liverpool Hospital, Australia; Centre for Medical Radiation Physics, University of Wollongong, Australia
| | - Myo Min
- Cancer Therapy Centre, Liverpool Hospital, Australia; South Western Sydney Clinical School, University of New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool Hospital, Australia
| | - Lois C Holloway
- Cancer Therapy Centre, Liverpool Hospital, Australia; South Western Sydney Clinical School, University of New South Wales, Australia; Ingham Institute of Applied Medical Research, Liverpool Hospital, Australia; Centre for Medical Radiation Physics, University of Wollongong, Australia
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11
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Segedin B, Petric P. Uncertainties in target volume delineation in radiotherapy - are they relevant and what can we do about them? Radiol Oncol 2016; 50:254-62. [PMID: 27679540 PMCID: PMC5024655 DOI: 10.1515/raon-2016-0023] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2015] [Accepted: 02/01/2016] [Indexed: 02/03/2023] Open
Abstract
Background Modern radiotherapy techniques enable delivery of high doses to the target volume without escalating dose to organs at risk, offering the possibility of better local control while preserving good quality of life. Uncertainties in target volume delineation have been demonstrated for most tumour sites, and various studies indicate that inconsistencies in target volume delineation may be larger than errors in all other steps of the treatment planning and delivery process. The aim of this paper is to summarize the degree of delineation uncertainties for different tumour sites reported in the literature and review the effect of strategies to minimize them. Conclusions Our review confirmed that interobserver variability in target volume contouring represents the largest uncertainty in the process for most tumour sites, potentially resulting in a systematic error in dose delivery, which could influence local control in individual patients. For most tumour sites the optimal combination of imaging modalities for target delineation still needs to be determined. Strict use of delineation guidelines and protocols is advisable both in every day clinical practice and in clinical studies to diminish interobserver variability. Continuing medical education of radiation oncologists cannot be overemphasized, intensive formal training on interpretation of sectional imaging should be included in the program for radiation oncology residents.
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Affiliation(s)
- Barbara Segedin
- Department of Radiation Oncology, Institute of Oncology Ljubljana, Slovenia
| | - Primoz Petric
- Department of Radation Oncology, National Centre for Cancer Care and Research, Doha, Qatar
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12
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Garner HW, Kransdorf MJ. Musculoskeletal Sarcoma: Update on Imaging of the Post-treatment Patient. Can Assoc Radiol J 2016; 67:12-20. [DOI: 10.1016/j.carj.2014.11.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2014] [Accepted: 11/18/2014] [Indexed: 12/30/2022] Open
Abstract
Post-treatment imaging of musculoskeletal sarcoma remains challenging, but newer imaging techniques are improving our ability to recognize both local and distant recurrence and accurately distinguish local recurrence from post-treatment change. We review recent advances in dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted magnetic resonance imaging with apparent diffusion coefficient mapping and positron emission tomography/computed tomography in the post-treatment follow-up of musculoskeletal sarcoma. We also describe our multidisciplinary sarcoma team approach to patient care and the essential role of the radiologist in the clinical follow-up scheme.
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13
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Caravatta L, Macchia G, Mattiucci GC, Sainato A, Cernusco NLV, Mantello G, Di Tommaso M, Trignani M, De Paoli A, Boz G, Friso ML, Fusco V, Di Nicola M, Morganti AG, Genovesi D. Inter-observer variability of clinical target volume delineation in radiotherapy treatment of pancreatic cancer: a multi-institutional contouring experience. Radiat Oncol 2014; 9:198. [PMID: 25199768 PMCID: PMC4261525 DOI: 10.1186/1748-717x-9-198] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 08/31/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND An observational multi-institutional study has been conducted aimed to evaluate the inter-observer variability in clinical target volume (CTV) delineation among different radiation oncologists in radiotherapy treatment of pancreatic cancer. METHODS A multi-institutional contouring dummy-run of two different cases of pancreatic cancer treated by postoperative and preoperative radiotherapy (RT) was performed. Clinical history, diagnostics, and planning CT imaging were available on AIRO website (http://www.radioterapiaitalia.it). Participants were requested to delineate CTVs according to their skills and knowledge. Aiming to quantify interobserver variability of CTVs delineations, the total volume, craniocaudal, laterolateral, and anteroposterior diameters were calculated. Descriptive statistic was calculated. The 95% Confidence Interval (95% CI) for coefficient of variation (CV) was estimated. The Dice Similarity Index (DSI) was used to evaluate the spatial overlap accuracy of the different CTVs compared with the CTVs of a national reference Centre considered as a benchmark. The mean DSI (mDSI) was calculated and reported. RESULTS A total of 18 radiation oncologists from different Institutes submitted the targets. Less variability was observed for the Elective CTV rather than the Boost CTV, in both cases. The estimated CV were 28.8% (95% CI: 21.2-45.0%) and 20.0% (95% CI: 14.9-30.6%) for the Elective CTV, in adjuvant (Case 1) and neoadjuvant (Case 2) case, respectively. The mDSI value was 0.68 for the Elective CTVs in both cases (range 0.19-0.79 in postoperative vs range 0.35-0.79 in preoperative case). The mDSI was increased to 0.71 (Case 1) and 0.72 (Case 2) if the observers with a worse agreement have been excluded. On the other hand, a CV of 42.4% (95% CI: 30.1-72.4%) and 63.8% (95% CI: 43.9-119.2%) with a mDSI value of 0.44 and 0.52, were calculated for the Boost CTV in Case 1 and Case 2, respectively. CONCLUSIONS The CV and mDSI obtained values for Elective CTVs showed an acceptable agreement among participants either in postoperative as well in preoperative setting. Additional strategies to reduce the variability in Boost CTV delineation need to be found and promoted.
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Affiliation(s)
- Luciana Caravatta
- />Radiation Oncology Department, “San Francesco” Hospital, Via Mannironi, 1, 08110 Nuoro, Italy
| | - Gabriella Macchia
- />Radiation Oncology Department, Fondazione di Ricerca e Cura “Giovanni Paolo II”, Università Cattolica del S. Cuore, Campobasso, Italy
| | | | - Aldo Sainato
- />Radiotherapy Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | - Nunzia LV Cernusco
- />Radiotherapy Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy
| | | | - Monica Di Tommaso
- />Department of Radiotherapy, “SS Annunziata” Hospital, “G. D’Annunzio” University, Chieti, Italy
| | - Marianna Trignani
- />Department of Radiotherapy, “SS Annunziata” Hospital, “G. D’Annunzio” University, Chieti, Italy
| | - Antonino De Paoli
- />Department of Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy
| | - Gianni Boz
- />Department of Radiation Oncology Centro di Riferimento Oncologico, National Cancer Institute, Aviano, Italy
| | - Maria L Friso
- />Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto, IRCCS, Padova, Italy
| | - Vincenzo Fusco
- />Department of Radiation Oncology, IRCCS CROB, Rionero in Vulture, Potenza, Italy
| | - Marta Di Nicola
- />Department of Experimental and Clinical Sciences, Laboratory of Biostatistics, “G. D’Annunzio” University, Chieti, Italy
| | - Alessio G Morganti
- />Radiation Oncology Department, Fondazione di Ricerca e Cura “Giovanni Paolo II”, Università Cattolica del S. Cuore, Campobasso, Italy
- />Radiotherapy Department, Università Cattolica del S. Cuore, Roma, Italy
| | - Domenico Genovesi
- />Department of Radiotherapy, “SS Annunziata” Hospital, “G. D’Annunzio” University, Chieti, Italy
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