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van Geffen EGM, Sluckin TC, Witte MG, Hazen SMJA, Peters FP, Intven MPW, Tanis PJ, Kusters M, Marijnen CAM. Variations in Radiation Therapy Delineation of the Lateral Compartments in Patients with Rectal Cancer: Results After an Updated National Guideline. Pract Radiat Oncol 2025:S1879-8500(25)00018-9. [PMID: 39971233 DOI: 10.1016/j.prro.2025.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2024] [Revised: 01/06/2025] [Accepted: 01/16/2025] [Indexed: 02/21/2025]
Abstract
PURPOSE In rectal cancer, accurate delineation is crucial for patients with enlarged lateral lymph nodes to minimize lateral local recurrence risk. This study aims to evaluate interphysician variation in delineation of the lateral compartments, and the impact of training and implementation of standardized delineation protocols. METHODS AND MATERIALS Twenty-three radiation oncologists from 15 institutes delineated the clinical target volume (CTV) on computed tomography scan in 1 example of a patient with rectal cancer. Parallel to this, the national consensus guideline was updated. Participating radiation oncologists completed an e-learning and online training session. Subsequently, 12 radiation oncologists redelineated the same case. Variation was measured with the Dice score and 95% Hausdorff distance. RESULTS Considerable interphysician variation was present before guideline distribution; and larger in the anterior compartment than the posterior compartment (Dice score 0.66 vs 0.80, P < .01). After training, there was a significant improvement in 95% Hausdorff distance for the lateral compartments together (0.71 vs 1.02, P = .02), but not in Dice score (0.76 vs 0.78, P = .31), and neither for the anterior and posterior compartment separately. Whereas delineation variation in the ventral and lateral sides decreased, the variation in the caudal side of the anterior compartment increased. CONCLUSIONS Substantial delineation variation in CTV of the lateral compartments in rectal cancer cases exists. This can be reduced by implementation of a delineation guideline with clear anatomic borders and subsequent training. Despite reduction in 95% Hausdorff distance, there is still need for further improvement in specific areas to assure adequate delineation.
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Affiliation(s)
- Eline G M van Geffen
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Treatment and Quality of Life, Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Tania C Sluckin
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Treatment and Quality of Life, Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Marnix G Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sanne-Marije J A Hazen
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Treatment and Quality of Life, Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Femke P Peters
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Martijn P W Intven
- Department of Radiation oncology, University Medical Center, Utrecht, the Netherlands
| | - Pieter J Tanis
- Treatment and Quality of Life, Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands; Department of Surgery, Amsterdam UMC location University of Amsterdam, Amsterdam, the Netherlands; Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus MC, Rotterdam, the Netherlands
| | - Miranda Kusters
- Department of Surgery, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Treatment and Quality of Life, Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands.
| | - Corrie A M Marijnen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, the Netherlands; Department of Radiation Oncology, LUMC, Leiden, the Netherlands
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Ferreira Silvério N, van den Wollenberg W, Betgen A, Wiersema L, Marijnen CAM, Peters F, van der Heide UA, Simões R, Intven MPW, van der Bijl E, Janssen T. Incorporating patient-specific prior clinical knowledge to improve clinical target volume auto-segmentation generalisability for online adaptive radiotherapy of rectal cancer: A multicenter validation. Radiother Oncol 2025; 203:110667. [PMID: 39675574 DOI: 10.1016/j.radonc.2024.110667] [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: 05/23/2024] [Revised: 11/29/2024] [Accepted: 12/09/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND & PURPOSE Deep learning (DL) based auto-segmentation has shown to be beneficial for online adaptive radiotherapy (OART). However, auto-segmentation of clinical target volumes (CTV) is complex, as clinical interpretations are crucial in their definition. The resulting variation between clinicians and institutes hampers the generalizability of DL networks. In OART the CTV is delineated during treatment preparation which makes the clinician intent explicitly available during treatment. We studied whether multicenter generalisability improves when using this prior clinical knowledge, the pre-treatment delineation, as a patient-specific prior for DL models for online auto-segmentation of the mesorectal CTV. MATERIAL & METHODS We included intermediate risk or locally advanced rectal cancer patients from three centers. Patient-specific weight maps were created by combining the patient-specific CTV delineation on the pre-treatment scan with population-based variation of likely inter-fraction mesorectal CTV deformations. We trained two models to auto-segment the mesorectal CTV on in-house data, one with (MRI + prior) and one without (MRI-only) priors. Both models were applied to two external datasets. An external baseline model was trained without priors from scratch for one external center. Performance was evaluated on the DSC, surface Dice, 95HD and MSD. RESULTS For both external centers, the MRI + prior model outperformed the MRI-only model significantly on the segmentation metrics (p-values < 0.01). There was no significant difference between the external baseline model and the MRI + prior model. CONCLUSION Adding patient-specific weight maps makes the CTV segmentation model more robust to institutional preferences. Performance was comparable to a model trained locally from scratch. This makes this approach suitable for generalization to multiple centers.
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Affiliation(s)
- Nicole Ferreira Silvério
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Wouter van den Wollenberg
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Anja Betgen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Lisa Wiersema
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Corrie A M Marijnen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Femke Peters
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Rita Simões
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands
| | - Martijn P W Intven
- Department of Radiation Oncology, University Medical Center Utrecht, Heidelberglaan 100 3584CX Utrecht, the Netherlands
| | - Erik van der Bijl
- Department of Radiation Oncology, Radboud University Medical Center, Geert Grooteplein Zuid 10 6525 GA Nijmegen, the Netherlands
| | - Tomas Janssen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121 1066CX Amsterdam, the Netherlands.
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Domingo-Boluda C, Dualde D, Taberner-Bonastre T, Soler M, López-Campos F. Impact of Dose-Escalated Chemoradiation on Pathological Complete Response in Patients with Locally Advanced Rectal Cancer. Cancers (Basel) 2024; 16:3170. [PMID: 39335142 PMCID: PMC11429587 DOI: 10.3390/cancers16183170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 08/30/2024] [Accepted: 09/12/2024] [Indexed: 09/30/2024] Open
Abstract
Locally advanced rectal cancer requires a multimodal treatment. Radiotherapy is being explored for intensification to improve the rates of pathological complete responses (ypCR rates) which are correlated with better outcomes. This study reports a comparison between standard versus escalated doses in a preoperative scenario. The ypCR rates, toxicity, postoperative complications, and disease-free and overall survival at 5 years are described. From 2012 to 2019, 99 patients were analyzed retrospectively: standard arm (mean of 47.5 Gy) vs. dose-escalated arm (mean of 54.3 Gy). All patients were treated with 3DRT in 25 fractions, with concomitant capecitabine and surgery performed according to the total mesorectal excision principles in both arms. The ypCR was reported using the "College of American Pathologist grades"; the gastrointestinal (GI) and genitourinary (GU) toxicity was reported using the "Common Terminology Criteria for Adverse Events" (CTCAE 4.0). The ypCR rates were higher in the dose-escalated group (25% vs. 10.64%; p = 0.07), with a lower rate of non-treatment response (61.36% vs. 38.64%; p = 0.11). No statistical differences between the arms were found in terms of the oncological outcomes, postoperative complications (p = 0.15), second surgeries (p = 0.62), or deaths (p = 0.62). The CTCAE acute GI and GU toxicity were grade I or II in both arms. Our study presents a long-term follow-up in comparative cohorts.
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Affiliation(s)
| | - Diego Dualde
- Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain
| | | | - Miguel Soler
- Hospital Universitario La Ribera (HULR), 46600 Alzira, Spain
| | - Fernando López-Campos
- Hospital Universitario Ramón y Cajal, Genesis Care Hospital Vithas La Milagrosa, 28034 Madrid, Spain
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Clough A, Chuter R, Hales RB, Parker J, McMahon J, Whiteside L, McHugh L, Davies L, Sanders J, Benson R, Nelder C, McDaid L, Choudhury A, Eccles CL. Impact of a contouring atlas on radiographer inter-observer variation in male pelvis radiotherapy. J Med Imaging Radiat Sci 2024; 55:281-288. [PMID: 38609834 DOI: 10.1016/j.jmir.2024.03.004] [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: 01/11/2024] [Revised: 02/26/2024] [Accepted: 03/19/2024] [Indexed: 04/14/2024]
Abstract
PURPOSE/OBJECTIVE To determine the impact of a MR-based contouring atlas for male pelvis radiotherapy delineation on inter-observer variation to support radiographer led real-time magnetic resonance image guided adaptive radiotherapy (MRgART). MATERIAL/METHODS Eight RTTs contoured 25 MR images in the Monaco treatment planning system (Monaco 5.40.01), from 5 patients. The prostate, seminal vesicles, bladder, and rectum were delineated before and after the introduction of an atlas developed through multi-disciplinary consensus. Inter-observer contour variations (volume), time to contour and observer contouring confidence were determined at both time-points using a 5-point Likert scale. Descriptive statistics were used to analyse both continuous and categorical variables. Dice similarity coefficient (DSC), Dice-Jaccard coefficient (DJC) and Hausdorff distance were used to calculate similarity between observers. RESULTS Although variation in volume definition decreased for all structures among all observers post intervention, the change was not statistically significant. DSC and DJC measurements remained consistent following the introduction of the atlas for all observers. The highest similarity was found in the bladder and prostate whilst the lowest was the seminal vesicles. The mean contouring time for all observers was reduced by 50% following the introduction of the atlas (53 to 27 minutes, p=0.01). For all structures across all observers, the mean contouring confidence increased significantly from 2.3 to 3.5 out of 5 (p=0.02). CONCLUSION Although no significant improvements were observed in contour variation amongst observers, the introduction of the consensus-based contouring atlas improved contouring confidence and speed; key factors for a real-time RTT-led MRgART.
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Affiliation(s)
- Abigael Clough
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Robert Chuter
- The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Rosie B Hales
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Jacqui Parker
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - John McMahon
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Lee Whiteside
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Louise McHugh
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Lucy Davies
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | | | - Rebecca Benson
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Claire Nelder
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Lisa McDaid
- The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Ananya Choudhury
- The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom
| | - Cynthia L Eccles
- The Christie NHS Foundation Trust, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom.
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Lin D, Wahid KA, Nelms BE, He R, Naser MA, Duke S, Sherer MV, Christodouleas JP, Mohamed ASR, Cislo M, Murphy JD, Fuller CD, Gillespie EF. E pluribus unum: prospective acceptability benchmarking from the Contouring Collaborative for Consensus in Radiation Oncology crowdsourced initiative for multiobserver segmentation. J Med Imaging (Bellingham) 2023; 10:S11903. [PMID: 36761036 PMCID: PMC9907021 DOI: 10.1117/1.jmi.10.s1.s11903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 01/02/2023] [Indexed: 02/11/2023] Open
Abstract
Purpose Contouring Collaborative for Consensus in Radiation Oncology (C3RO) is a crowdsourced challenge engaging radiation oncologists across various expertise levels in segmentation. An obstacle to artificial intelligence (AI) development is the paucity of multiexpert datasets; consequently, we sought to characterize whether aggregate segmentations generated from multiple nonexperts could meet or exceed recognized expert agreement. Approach Participants who contoured ≥ 1 region of interest (ROI) for the breast, sarcoma, head and neck (H&N), gynecologic (GYN), or gastrointestinal (GI) cases were identified as a nonexpert or recognized expert. Cohort-specific ROIs were combined into single simultaneous truth and performance level estimation (STAPLE) consensus segmentations.STAPLE nonexpert ROIs were evaluated againstSTAPLE expert contours using Dice similarity coefficient (DSC). The expert interobserver DSC (IODSC expert ) was calculated as an acceptability threshold betweenSTAPLE nonexpert andSTAPLE expert . To determine the number of nonexperts required to match theIODSC expert for each ROI, a single consensus contour was generated using variable numbers of nonexperts and then compared to theIODSC expert . Results For all cases, the DSC values forSTAPLE nonexpert versusSTAPLE expert were higher than comparator expertIODSC expert for most ROIs. The minimum number of nonexpert segmentations needed for a consensus ROI to achieveIODSC expert acceptability criteria ranged between 2 and 4 for breast, 3 and 5 for sarcoma, 3 and 5 for H&N, 3 and 5 for GYN, and 3 for GI. Conclusions Multiple nonexpert-generated consensus ROIs met or exceeded expert-derived acceptability thresholds. Five nonexperts could potentially generate consensus segmentations for most ROIs with performance approximating experts, suggesting nonexpert segmentations as feasible cost-effective AI inputs.
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Affiliation(s)
- Diana Lin
- Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, New York, United States
| | - Kareem A. Wahid
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States
| | | | - Renjie He
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States
| | - Mohammed A. Naser
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States
| | - Simon Duke
- Cambridge University Hospitals, Department of Radiation Oncology, Cambridge, United Kingdom
| | - Michael V. Sherer
- University of California San Diego, Department of Radiation Medicine and Applied Sciences, La Jolla, California, United States
| | - John P. Christodouleas
- The University of Pennsylvania Cancer Center, Department of Radiation Oncology, Philadelphia, Pennsylvania, United States
- Elekta AB, Stockholm, Sweden
| | - Abdallah S. R. Mohamed
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States
| | - Michael Cislo
- Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, New York, United States
| | - James D. Murphy
- University of California San Diego, Department of Radiation Medicine and Applied Sciences, La Jolla, California, United States
| | - Clifton D. Fuller
- The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, Texas, United States
| | - Erin F. Gillespie
- Memorial Sloan Kettering Cancer Center, Department of Radiation Oncology, New York, New York, United States
- University of Washington Fred Hutchinson Cancer Center, Department of Radiation Oncology, Seattle, Washington, United States
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Piqeur F, Hupkens BJP, Nordkamp S, Witte MG, Meijnen P, Ceha HM, Berbee M, Dieters M, Heyman S, Valdman A, Nilsson MP, Nederend J, Rutten HJT, Burger JWA, Marijnen CAM, Peulen HMU. Development of a consensus-based delineation guideline for locally recurrent rectal cancer. Radiother Oncol 2022; 177:214-221. [PMID: 36410547 DOI: 10.1016/j.radonc.2022.11.008] [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: 07/05/2022] [Revised: 11/08/2022] [Accepted: 11/13/2022] [Indexed: 11/23/2022]
Abstract
BACKGROUND AND PURPOSE Neoadjuvant chemoradiotherapy (nCRT) is used in locally recurrent rectal cancer (LRRC) to increase chances of a radical surgical resection. Delineation in LRRC is hampered by complex disease presentation and limited clinical exposure. Within the PelvEx II trial, evaluating the benefit of chemotherapy preceding nCRT for LRRC, a delineation guideline was developed by an expert LRRC team. MATERIALS AND METHODS Eight radiation oncologists, from Dutch and Swedish expert centres, participated in two meetings, delineating GTV and CTV in six cases. Regions at-risk for re-recurrence or irradical resection were identified by eleven expert surgeons and one expert radiologist. Target volumes were evaluated multidisciplinary. Inter-observer variation was analysed. RESULTS Inter-observer variation in delineation of LRRC appeared large. Multidisciplinary evaluation per case is beneficial in determining target volumes. The following consensus regarding target volumes was reached. GTV should encompass all tumour, including extension into OAR if applicable. If the tumour is in fibrosis, GTV should encompass the entire fibrotic area. Only if tumour can clearly be distinguished from fibrosis, GTV may be reduced, as long as the entire fibrotic area is covered by the CTV. CTV is GTV with a 1 cm margin and should encompass all at-risk regions for irradical resection or re-recurrence. CTV should not be adjusted towards other organs. Multifocal recurrences should be encompassed in one CTV. Elective nodal delineation is only advised in radiotherapy-naïve patients. CONCLUSION This study provides a first consensus-based delineation guideline for LRRC. Analyses of re-recurrences is needed to understand disease behaviour and to optimize delineation guidelines accordingly.
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Affiliation(s)
- Floor Piqeur
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands; Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Department of Radiation Oncology, Leiden University Medical Centre, Albinusdreef 2, 2333ZA Leiden, the Netherlands
| | - Britt J P Hupkens
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands; Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Doctor Tanslaan 12, 6229ET Maastricht, the Netherlands
| | - Stefi Nordkamp
- Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands
| | - Marnix G Witte
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Philip Meijnen
- Department of Radiation Oncology, Amsterdam University Medical Centre, De Boelelaan 1118, 1081HZ Amsterdam, the Netherlands
| | - Heleen M Ceha
- Department of Radiation Oncology, Haaglanden Medical Centre, Burg. Banninglaan 1, 2262AK Leidschendam, the Netherlands
| | - Maaike Berbee
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Doctor Tanslaan 12, 6229ET Maastricht, the Netherlands
| | - Margriet Dieters
- Department of Radiation Oncology, University Medical Centre Groningen, Hanzeplein 1, 9713GZ Groningen, the Netherlands
| | - Sofia Heyman
- Department of Oncology, Institute of Clinical Sciencs, Sahlgrenska Academy at University of Gothenburg, Bla straket 5, 412 45 Götenborg, Sweden
| | - Alexander Valdman
- Department of Radiation Oncology, Karolinska University Hospital, Anna Steckséns gata 41, 171 64 Stockholm, Sweden
| | - Martin P Nilsson
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lasarettsgatan 23, 221 85 Lund, Sweden
| | - Joost Nederend
- Department of Radiology, Catharina Hospital, Michelangelolaan 2, 5623 EJ Eindhoven, the Netherlands
| | - Harm J T Rutten
- Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands; GROW School of Oncology and Developmental Biology, University of Maastricht, Universiteitssingel 40, 6229ER Maastricht, the Netherlands
| | - Jacobus W A Burger
- Department of Surgery, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands
| | - Corrie A M Marijnen
- Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Department of Radiation Oncology, Leiden University Medical Centre, Albinusdreef 2, 2333ZA Leiden, the Netherlands
| | - Heike M U Peulen
- Department of Radiation Oncology, Catharina Hospital, Michelangelolaan 2, 5623EJ Eindhoven, the Netherlands.
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Mehri-Kakavand G, Pursamimi M, Parwaie W, Ghorbani M, Khosravi M, Hosseini SM, Soleimani Meigooni A. Assessment of Field-in-Field, 3-Field, and 4-Field Treatment Planning Methods for Radiotherapy of Gastro-Esophageal Junction Cancer. J Biomed Phys Eng 2022; 12:439-454. [PMID: 36313414 PMCID: PMC9589079 DOI: 10.31661/jbpe.v0i0.2206-1500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/17/2022] [Indexed: 11/06/2022]
Abstract
Background Gastro-esophageal (GE) junction cancer is the fastest-growing tumor, particularly in the United States (US). Objective This study aimed to compare dosimetric and radiobiological factors among field-in-field (FIF), three-field (3F), and four-field box (4FB) radiotherapy planning techniques for gastro-esophageal junction cancer. Material and Methods In this experimental study, thirty patients with GE junction cancer were evaluated, and three planning techniques (field-in-field (FIF), three-field (3F), and four-field box (4FB)) were performed for each patient for a 6-MV photon beam. Dose distribution in the target volume, the monitor units (MUs) required, and the dose delivered to organs at risk (OARs) were compared for these techniques using the paired-sample t-test. Results A significant difference was measured between the FIF and 3F techniques with respect to conformity index (CI), dose homogeneity index (HI), and tumor control probability (TCP) for the target organ, as well as the Dmean for the heart, kidneys, and liver. For the spinal cord, the FIF technique showed a slight reduction in the maximum dose compared to the other two techniques. In addition, the V20 Gy of the lungs and the normal tissue complication probability (NTCP) of all OARs were reduced with FIF method. Conclusion The FIF technique showed better performance for treating patients with gastro-esophageal junction tumors, in terms of dose homogeneity in the target, conformity of the radiation field with the target volume, TCP, less dose to healthy organs, and fewer MU.
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Affiliation(s)
- Ghazal Mehri-Kakavand
- MSc, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohamad Pursamimi
- MSc, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Wrya Parwaie
- PhD, Department of Medical Physics, Faculty of Paramedical Sciences, Ilam University of Medical Sciences, Ilam, Iran
| | - Mahdi Ghorbani
- PhD, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Khosravi
- MSc, Vali-e-Asr Radiotherapy and Oncology Center, Qom University of Medical Sciences, Qom, Iran
| | - Seyyed Mohammad Hosseini
- PhD Candidate, Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- PhD Candidate, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
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Sung SY, Lee SW, Hong JH, Kang HJ, Lee SJ, Kim M, Kim JH, Kwak YK. Linear Tumor Regression of Rectal Cancer in Daily MRI during Preoperative Chemoradiotherapy: An Insight of Tumor Regression Velocity for Personalized Cancer Therapy. Cancers (Basel) 2022; 14:3749. [PMID: 35954413 PMCID: PMC9367607 DOI: 10.3390/cancers14153749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 07/25/2022] [Accepted: 07/26/2022] [Indexed: 11/17/2022] Open
Abstract
Objective: Neoadjuvant chemoradiotherapy (CCRT) is current standards of care for locally advanced rectal cancer. The precise and thorough investigation of a tumor during the full course of CCRT by means of daily MRI can provide an idea on real-time treatment sensitivity in addition to tumor biology. Tumor volumetry from daily MRI during CCRT may allow patient-driven treatment decisions. Material and Methods: Patients diagnosed with cT3-4 and/or cN+ rectal adenocarcinoma undergoing preoperative CCRT with capecitabine on the pelvis up to 50 Gy in 25 daily fractions from November 2018 to June 2019 were consecutively included. Rectal tumor volume was uniformly measured by a single physician (YKK) in daily 0.35T MRI obtained with MR-guided linear accelerator. Primary endpoint was to assess the pattern of tumor volume regression throughout the full course of CCRT using daily registration MRI. Secondary endpoint was to assess the effect of tumor regression velocity on disease-free survival (DFS). Tumor regression velocity (cc) per fraction of each patient was calculated using the simple regression analysis of tumor volumes from fraction 1 to fraction 25. Results: Twenty patients were included. Daily tumor volumetry demonstrated linear tumor regression during CCRT. The tumor regression velocity of all 20 patients was 2.40 cc per fraction (R2 = 0.93; p < 0.001). The median tumor regression velocity was 1.52 cc per fraction. Patients with tumor regression velocity ≥ 1.52 cc per fraction were grouped as rapid regressors (N = 9), and those with tumor regression velocity < 1.52 cc per fraction were grouped as slow regressors (N = 11). Rapid regressors had greater tumor regression velocity (4.58 cc per fraction) compared to that of slow regressors (0.78 cc per fraction) with statistical significance (p < 0.001). The mean DFS of rapid regressors was 36.8 months, numerically longer than the 31.9 months of slow regressors (p = 0.400) without statistical significance. Rapid regressors had numerically superior DFS rate compared to slow regressors without statistical significance. The 2-year DFS was 88.9% for rapid regressors and 72.7% for slow regressors, respectively (p = 0.400). Conclusion: This study is the first observation of linear tumor regression in daily MRI during the preoperative CCRT of locally advanced rectal cancer. Daily tumor regression velocity discriminated DFS, although without statistical significance. This study with a phenomenal approach is hypothesis-generating. Nevertheless, the potential of CCRT from therapeutics to a newer level, the “theranostics”, has been inceptively suggested. Further validation studies for the value of daily tumor volumetry on treatment decisions are warranted.
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Affiliation(s)
- Soo-Yoon Sung
- Department of Radiation Oncology, Eunpyeong St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (S.-Y.S.); (S.-W.L.)
| | - Sea-Won Lee
- Department of Radiation Oncology, Eunpyeong St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (S.-Y.S.); (S.-W.L.)
| | - Ji Hyung Hong
- Division of Medical Oncology, Department of Internal Medicine, Eunpyeong St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea;
| | - Hye Jin Kang
- Department of Radiation Oncology, Incheon St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (H.J.K.); (S.J.L.); (M.K.)
| | - So Jung Lee
- Department of Radiation Oncology, Incheon St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (H.J.K.); (S.J.L.); (M.K.)
| | - Myungsoo Kim
- Department of Radiation Oncology, Incheon St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (H.J.K.); (S.J.L.); (M.K.)
| | - Ji-Hoon Kim
- Department of Surgery, Incheon St. Mary’s Hospital, The Catholic University of Korea, Seoul 06591, Korea;
| | - Yoo-Kang Kwak
- Department of Radiation Oncology, Incheon St. Mary’s Hospital, Catholic University of Korea College of Medicine, Seoul 06591, Korea; (H.J.K.); (S.J.L.); (M.K.)
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9
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Zhang H, Onochie I, Hilal L, Wijetunga NA, Hipp E, Guttmann DM, Cahlon O, Washington C, Gomez DR, Gillespie EF. Prospective clinical evaluation of integrating a radiation anatomist for contouring in routine radiation treatment planning. Adv Radiat Oncol 2022; 7:101009. [PMID: 36092987 PMCID: PMC9449753 DOI: 10.1016/j.adro.2022.101009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/22/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose A radiation anatomist was trained and integrated into clinical practice at a multi-site academic center. The primary objective of this quality improvement study was to determine whether a radiation anatomist improves the quality of organ-at-risk (OAR) contours, and secondarily to determine the impact on efficiency in the treatment planning process. Methods and Materials From March to August 2020, all patients undergoing computed tomography–based radiation planning at 2 clinics at Memorial Sloan Kettering Cancer Center were assigned using an “every other” process to either (1) OAR contouring by a radiation anatomist (intervention) or (2) contouring by the treating physician (standard of care). Blinded dosimetrists reported OAR contour quality using a 3-point scoring system based on a common clinical trial protocol deviation scale (1, acceptable; 2, minor deviation; and 3, major deviation). Physicians reported time spent contouring for all cases. Analyses included the Fisher exact test and multivariable ordinal logistic regression. Results There were 249 cases with data available for the primary endpoint (66% response rate). The mean OAR quality rating was 1.1 ± 0.4 for the intervention group and 1.4 ± 0.7 for the standard of care group (P < .001), with subset analysis showing a significant difference for gastrointestinal cases (n = 49; P <.001). Time from simulation to contour approval was reduced from 3 days (interquartile range [IQR], 1-6 days) in the control group to 2 days (IQR, 1-5 days) in the intervention group (P = .007). Both physicians and dosimetrists self-reported decreased time spent contouring in the intervention group compared with the control group, with a decreases of 8 minutes (17%; P < .001) and 5 minutes (50%; P = .002), respectively. Qualitative comments most often indicated edits required to bowel contours (n = 14). Conclusions These findings support improvements in both OAR contour quality and workflow efficiency with implementation of a radiation anatomist in routine practice. Findings could also inform development of autosegmentation by identifying disease sites and specific OARs contributing to low clinical efficiency. Future research is needed to determine the potential effect of reduced physician time spent contouring OARs on burnout.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Erin F. Gillespie
- Department of Radiation Oncology
- Center for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, New York, New York
- Corresponding author: Erin F. Gillespie, MD
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10
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Zhang YZ, Zhu XG, Song MX, Yao KN, Li S, Geng JH, Wang HZ, Li YH, Cai Y, Wang WH. Improving the accuracy and consistency of clinical target volume delineation for rectal cancer by an education program. World J Gastrointest Oncol 2022; 14:1027-1036. [PMID: 35646284 PMCID: PMC9124985 DOI: 10.4251/wjgo.v14.i5.1027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 01/24/2022] [Accepted: 04/21/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate target volume delineation is the premise for the implementation of precise radiotherapy. Inadequate target volume delineation may diminish tumor control or increase toxicity. Although several clinical target volume (CTV) delineation guidelines for rectal cancer have been published in recent years, significant interobserver variation (IOV) in CTV delineation still exists among radiation oncologists. However, proper education may serve as a bridge that connects complex guidelines with clinical practice.
AIM To examine whether an education program could improve the accuracy and consistency of preoperative radiotherapy CTV delineation for rectal cancer.
METHODS The study consisted of a baseline target volume delineation, a 150-min education intervention, and a follow-up evaluation. A 42-year-old man diagnosed with stage IIIC (T3N2bM0) rectal adenocarcinoma was selected for target volume delineation. CTVs obtained before and after the program were compared. Dice similarity coefficient (DSC), inclusiveness index (IncI), conformal index (CI), and relative volume difference [ΔV (%)] were analyzed to quantitatively evaluate the disparities between the participants’ delineation and the standard CTV. Maximum volume ratio (MVR) and coefficient of variation (CV) were calculated to assess the IOV. Qualitative analysis included four common controversies in CTV delineation concerning the upper boundary of the target volume, external iliac area, groin area, and ischiorectal fossa.
RESULTS Of the 18 radiation oncologists from 10 provinces in China, 13 completed two sets of CTVs. In quantitative analysis, the average CTV volume decreased from 809.82 cm3 to 705.21 cm3 (P = 0.001) after the education program. Regarding the indices for geometric comparison, the mean DSC, IncI, and CI increased significantly, while ΔV (%) decreased remarkably, indicating improved agreement between participants’ delineation and the standard CTV. Moreover, an 11.80% reduction in MVR and 18.19% reduction in CV were noted, demonstrating a smaller IOV in delineation after the education program. Regarding qualitative analysis, the greatest variations in baseline were observed at the external iliac area and ischiorectal fossa; 61.54% (8/13) and 53.85% (7/13) of the participants unnecessarily delineated the external iliac area and the ischiorectal fossa, respectively. However, the education program reduced these variations.
CONCLUSION Wide variations in CTV delineation for rectal cancer are present among radiation oncologists in mainland China. A well-structured education program could improve delineation accuracy and reduce IOVs.
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Affiliation(s)
- Yang-Zi Zhang
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiang-Gao Zhu
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ma-Xiaowei Song
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Kai-Ning Yao
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Shuai Li
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Jian-Hao Geng
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Hong-Zhi Wang
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yong-Heng Li
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yong Cai
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Wei-Hu Wang
- Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing 100142, China
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11
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Di Perri D, Hofstede D, Postma A, Zegers CM, In't Ven L, Hoebers F, van Elmpt W, Verheesen L, Beurskens H, Troost EG, Compter I, Eekers DB. Development of explanatory movies for the delineation of new organs at risk in neuro-oncology. Clin Transl Radiat Oncol 2022; 33:112-114. [PMID: 35243021 PMCID: PMC8857542 DOI: 10.1016/j.ctro.2022.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 02/11/2022] [Indexed: 11/28/2022] Open
Abstract
Accurate and uniform OAR delineation is essential to gather consistent toxicity data. New OARs were introduced in the 2021 update of EPTN Neurological Contouring Atlas. We developed explanatory movies for the delineation of these OARs. This aims to facilitate the training of delineation professionals.
Ten new organs at risk (OARs) were recently introduced in the updated European Particle Therapy Network neurological contouring atlas. Despite the use of the illustrated atlas and descriptive text, interindividual contouring variations may persist. To further facilitate the contouring of these OARs, educational films were developed and published on www.cancerdata.org.
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Affiliation(s)
- Dario Di Perri
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
- Corresponding author.
| | - David Hofstede
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Alida Postma
- Department of Radiology and Nuclear Medicine MUMC+, Maastricht, the Netherlands
| | - Catharina M.L. Zegers
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Lieke In't Ven
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Frank Hoebers
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Lindsey Verheesen
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Hilde Beurskens
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Esther G.C. Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany
- OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden - Rossendorf Dresden, Germany
- German Cancer Consortium (DKTK), Partnersite Dresden and German Cancer Research Center (DKFZ), Germany
- National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany, and Helmholtz Association/Helmholtz-Zentrum Dresden - Rossendorf (HZDR)
| | - Inge Compter
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
| | - Danielle B.P. Eekers
- Department of Radiation Oncology (Maastro), Maastricht University Medical Center+, GROW School for Oncology, Maastricht, the Netherlands
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12
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White I, Hunt A, Bird T, Settatree S, Soliman H, Mcquaid D, Dearnaley D, Lalondrelle S, Bhide S. Interobserver variability in target volume delineation for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer. Br J Radiol 2021; 94:20210350. [PMID: 34723622 PMCID: PMC8631009 DOI: 10.1259/bjr.20210350] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/19/2021] [Accepted: 09/23/2021] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVES Quantify target volume delineation uncertainty for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer. Define optimal imaging sequences for target delineation. METHODS Six experienced radiation oncologists delineated clinical target volumes (CTVs) on CT and 2D and 3D-MRI in three patients with rectal cancer, using consensus contouring guidelines. Tumour GTV (GTVp) was also contoured on MRI acquired week 0 and 3 of radiotherapy. A STAPLE contour was created and volume and interobserver variability metrics were analysed. RESULTS There were statistically significant differences in volume between observers for CT and 2D-MRI-defined CTVs (p < 0.05). There was no significant difference between observers on 3D-MRI. Significant differences in volume were seen between observers for both 2D and 3D-MRI-defined GTVp at weeks 0 and 3 (p < 0.05). Good interobserver agreement (IOA) was seen for CTVs delineated on all imaging modalities with best IOA on 3D-MRI; median Conformity index (CI) 0.74 for CT, 0.75 for 2D-MRI and 0.77 for 3D-MRI. IOA of MRI-defined GTVp week 0 was better compared to CT; CI 0.58 for CT, 0.62 for 2D-MRI and 0.7 for 3D-MRI. MRI-defined GTVp IOA week three was worse compared to week 0. CONCLUSION Delineation on MRI results in smaller volumes and better IOA week 0 compared to CT. 3D-MRI provides the best IOA in CTV and GTVp. MRI-defined GTVp on images acquired week 3 showed worse IOA compared to week 0. This highlights the need for consensus guidelines in GTVp delineation on MRI during treatment course in the context of dose escalation MRI-guided rectal boost studies. ADVANCES IN KNOWLEDGE Optimal MRI sequences for CT/MRI simulation and MRI-guided adaptive radiotherapy in rectal cancer have been defined.
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Affiliation(s)
| | - Arabella Hunt
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Thomas Bird
- University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Sarah Settatree
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Heba Soliman
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Dualta Mcquaid
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - David Dearnaley
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Susan Lalondrelle
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
| | - Shree Bhide
- The Joint Department of Physics at the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, UK
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13
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Piazzese C, Evans E, Thomas B, Staffurth J, Gwynne S, Spezi E. FIELD RT: an open-source platform for the assessment of target volume delineation in radiation therapy. Br J Radiol 2021; 94:20210356. [PMID: 34289317 PMCID: PMC9328049 DOI: 10.1259/bjr.20210356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Objectives: Target volume delineation (TVD) has been identified as a weakness in the accuracy of radiotherapy, both within and outside of clinical trials due to the intra/interobserver variations affecting the TVD quality. Sources of variations such as poor compliance or protocol violation may have adverse effect on treatment outcomes. In this paper, we present and describe the FIELDRT software developed for the ARENA project to improve the quality of TVD through qualitative and quantitative feedbacks and individual and personalized summary of trainee”s performance. Methods: For each site-specific clinical case included in the FIELDRT software, reference volumes, minimum and maximum “acceptable” volumes and organ at risk were derived by outlines of consultants and senior trainees. The software components currently developed include: (a) user-friendly importing interface (b) analysis toolbox to compute quantitative and qualitative (c) visualiser and (d) structured report generator for personalised feedback. The FIELDRT software was validated by comparing the performance of 63 trainees and by measuring performance over time. In addition, a trainee evaluation day was held in 2019 to collect feedback on FIELDRT. Results: Results show the trainees’ improvement when reoutlining a case after reviewing the feedback generated from the FIELDRT software. Comments and feedback received after evaluation day were positive and confirmed that FIELDRT can be a useful application for training purposes. Conclusion: We presented a new open-source software to support education in TVD and ongoing continuous professional development for clinical oncology trainees and consultants. ARENA in combination with FIELDRT implements site-specific modules with reference target and organs at risk volumes and automatically evaluates individual performance using several quantitative and qualitative feedbacks. Pilot results suggests this software could be used as an education tool to reduce variation in TVD so to guarantee high quality in radiotherapy. Advances in knowledge: FIELDRT is a new easy and free to use software aiming at supporting education in TVD and ongoing continuous professional development. The software provides quantitative/qualitative feedback and an exportable report with an individual and personalised summary of trainee’s performance.
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Affiliation(s)
- Concetta Piazzese
- University of Huddersfield, School of Computing & Engineering, Huddersfield, UK.,Cardiff University, School of Engineering, Cardiff, UK.,Clinical Oncology, Velindre Cancer Centre, Cardiff, UK
| | - Elin Evans
- Clinical Oncology, Velindre Cancer Centre, Cardiff, UK
| | - Betsan Thomas
- Clinical Oncology, South West Wales Cancer Centre, Swansea, UK
| | | | - Sarah Gwynne
- Clinical Oncology, South West Wales Cancer Centre, Swansea, UK
| | - Emiliano Spezi
- Cardiff University, School of Engineering, Cardiff, UK.,Clinical Oncology, Velindre Cancer Centre, Cardiff, UK
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14
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Stelmes JJ, Vu E, Grégoire V, Simon C, Clementel E, Kazmierska J, Grant W, Ozsahin M, Tomsej M, Vieillevigne L, Fortpied C, Hurkmans EC, Branquinho A, Andratschke N, Zimmermann F, Weber DC. Quality assurance of radiotherapy in the ongoing EORTC 1420 "Best of" trial for early stage oropharyngeal, supraglottic and hypopharyngeal carcinoma: results of the benchmark case procedure. Radiat Oncol 2021; 16:81. [PMID: 33933118 PMCID: PMC8088557 DOI: 10.1186/s13014-021-01809-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 04/19/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION The current phase III EORTC 1420 Best-of trial (NCT02984410) compares the swallowing function after transoral surgery versus intensity modulated radiotherapy (RT) in patients with early-stage carcinoma of the oropharynx, supraglottis and hypopharynx. We report the analysis of the Benchmark Case (BC) procedures before patient recruitment with special attention to dysphagia/aspiration related structures (DARS). MATERIALS AND METHODS Submitted RT volumes and plans from participating centers were analyzed and compared against the gold-standard expert delineations and dose distributions. Descriptive analysis of protocol deviations was conducted. Mean Sorensen-Dice similarity index (mDSI) and Hausdorff distance (mHD) were applied to evaluate the inter-observer variability (IOV). RESULTS 65% (23/35) of the institutions needed more than one submission to achieve Quality assurance (RTQA) clearance. OAR volume delineations were the cause for rejection in 53% (40/76) of cases. IOV could be improved in 5 out of 12 OARs by more than 10 mm after resubmission (mHD). Despite this, final IOV for critical OARs in delineation remained significant among DARS by choosing an aleatory threshold of 0.7 (mDSI) and 15 mm (mHD). CONCLUSIONS This is to our knowledge the largest BC analysis among Head and neck RTQA programs performed in the framework of a prospective trial. Benchmarking identified non-common OARs and target delineations errors as the main source of deviations and IOV could be reduced in a significant number of cases after this process. Due to the substantial resources involved with benchmarking, future benchmark analyses should assess fully the impact on patients' clinical outcome.
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Affiliation(s)
- J-J Stelmes
- Radiation Oncology Department, Oncology Institute of Southern Switzerland, Via Athos Gallino 12, 6500, Bellinzona, Switzerland.
| | - E Vu
- Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | | | - C Simon
- Lausanne University Hospital, Lausanne, Switzerland
| | | | | | - W Grant
- Gloucestershire Hospitals, NHS Foundation Trust, Gloucester, UK
| | - M Ozsahin
- Lausanne University Hospital, Lausanne, Switzerland
| | - M Tomsej
- Hospital of Charleroi, Charleroi, Belgium
| | | | | | | | - A Branquinho
- Centro Hospitalar Lisboa Norte, Lisbon, Portugal
| | | | - F Zimmermann
- University Hospital of Basel, Basel, Switzerland
| | - D-C Weber
- University Hospital of Bern, Bern, Switzerland
- Paul-Scherrer-Institute, Villigen, Switzerland
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15
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Huang W, Dang J, Li Y, Cui HX, Lu WL, Jiang QF. Effect of Pelvic Bone Marrow Sparing Intensity Modulated Radiation Therapy on Acute Hematologic Toxicity in Rectal Cancer Patients Undergoing Chemo-Radiotherapy. Front Oncol 2021; 11:646211. [PMID: 33968746 PMCID: PMC8101329 DOI: 10.3389/fonc.2021.646211] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/30/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND While chemo-radiotherapy improves local control in patients with locally advanced rectal cancer, it can also increase acute hematological toxicity (HT), which leads to poor outcomes. Patients receiving bone marrow radiation have been shown to develop acute HT. However, the safety and efficacy of bone marrow sparing is undetermined. The aim of our study was to explore the feasible dosimetric constraints for pelvic bone marrow (PBM) that can be widely used in rectal cancer patients undergoing chemo-radiotherapy. METHODS 112 rectal cancer patients were selected and divided into the PBM sparing IMRT group (60 cases) and the non-PBM sparing IMRT group (52 cases). All patients underwent pelvic radiotherapy with concurrent capecitabine-based chemotherapy. The PBM dosimetric constraints in the PBM sparing IMRT group were set to:V10 ≤ 85%, V20 ≤ 65% and V30 ≤ 45%. An independent sample t test was applied for the dose-volume parameters, and Chi-squared analysis was applied for clinical parameters and adverse events. RESULTS The radiation dose to PBM (V5~V45, Dmean, P<0.05), PBM sub-regions (V10~V35, Dmean, P<0.05) and both femoral heads (V5~V40, Dmean, P<0.05) decreased significantly in the PBM sparing IMRT group compared with that of the non-PBM sparing IMRT group (P<0.05). There was no significant difference in any dose-volume parameters of the bladder and small bowel in either groups, and none in the planning target volume (PTV) dose homogeneity and conformity (P>0.05). For acute HT observation, the incidence of grade 3 acute HT (χ2 = 7.094, P=0.008) was significantly reduced in patients treated with PBM sparing IMRT compared with patients treated with non-PBM sparing IMRT. There was no statistical difference in the incidence of vomiting, diarrhea, fatigue, anorexia, nausea, hand-foot syndrome, cystitis, perianal pain and perianal dermatitis in patients of both groups (P >0.05). CONCLUSIONS Applying PBM dosimetric constraints (V10 ≤ 85%, V20 ≤ 65% and V30 ≤ 45%) can significantly reduce the radiation dose to PBM. The patients treated with PBM sparing IMRT had a lower incidence of acute HT compared with those treated with non-PBM sparing IMRT. Applying the PBM dosimetric constraints proposed by our study can benefits the patients with rectal cancer undergoing capecitabine-based chemo-radiotherapy.
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Affiliation(s)
| | | | | | | | | | - Qing-feng Jiang
- Department of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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16
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Kim KS, Cheong KH, Kim K, Koo T, Koh HK, Chang JH, Chang AR, Park HJ. Interobserver variability in clinical target volume delineation in anal squamous cell carcinoma. Sci Rep 2021; 11:2785. [PMID: 33531643 PMCID: PMC7854655 DOI: 10.1038/s41598-021-82541-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 01/20/2021] [Indexed: 12/24/2022] Open
Abstract
We evaluated the inter-physician variability in the target contouring of the radiotherapy for anal squamous cell carcinoma (ASCC). Clinical target volume (CTV) of three patients diagnosed with ASCC was delineated by seven experienced radiation oncologists from multi-institution. These patients were staged as pT1N1a, cT2N0, and cT4N1a, respectively, according to 8th edition of the American Joint Committee on Cancer staging system. Expert agreement was quantified using an expectation maximization algorithm for Simultaneous Truth and Performance Level Estimation (STAPLE). The maximum distance from the boundaries of the STAPLE generated volume with confidence level of 80% to those of the contour of each CTV in 6 directions was compared. CTV of pelvis which includes primary tumor, perirectal tissue and internal/external iliac lymph node (LN) area (CTV-pelvis) and CTV of inguinal area (CTV-inguinal) were obtained from the seven radiation oncologists. One radiation oncologist did not contain inguinal LN area in the treatment target volume of patient 2 (cT2N0 stage). CTV-inguinal displayed moderate agreement for each patient (overall kappa 0.58, 0.54 and 0.6, respectively), whereas CTV-pelvis showed substantial agreement (overall kappa 0.66, 0.68 and 0.64, respectively). Largest variation among each contour was shown in the inferior margin of the CTV-inguinal. For CTV-pelvis, anterior and superior margin showed the biggest variation. Overall, moderate to substantial agreement was shown for CTV delineation. However, large variations in the anterior and cranial boarder of the CTV-pelvis and the caudal margin of the CTV-inguinal suggest that further studies are needed to establish a clearer target volume delineation guideline.
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Affiliation(s)
- Kyung Su Kim
- Department of Radiation Oncology, Dongnam Institute of Radiological and Medical Sciences, Busan, Republic of Korea.,Department of Radiation Oncology, Ewha Womans University College of Medicine, 1071 Anyangcheon-ro Yangcheon-gu, Seoul, 07985, Republic of Korea
| | - Kwang-Ho Cheong
- Department of Radiation Oncology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Kyubo Kim
- Department of Radiation Oncology, Ewha Womans University College of Medicine, 1071 Anyangcheon-ro Yangcheon-gu, Seoul, 07985, Republic of Korea.
| | - Taeryool Koo
- Department of Radiation Oncology, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea
| | - Hyeon Kang Koh
- Department of Radiation Oncology, Konkuk University School of Medicine, Seoul, Republic of Korea
| | - Ji Hyun Chang
- Department of Radiation Oncology, Seoul Metropolitan Government, Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Ah Ram Chang
- Department of Radiation Oncology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, Republic of Korea
| | - Hae Jin Park
- Department of Radiation Oncology, Hanyang University College of Medicine, 222-1 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.
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17
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MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability. Sci Rep 2020; 10:14163. [PMID: 32843663 PMCID: PMC7447771 DOI: 10.1038/s41598-020-70940-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 07/31/2020] [Indexed: 12/11/2022] Open
Abstract
Radiomics is an emerging field using the extraction of quantitative features from medical images for tissue characterization. While MRI-based radiomics is still at an early stage, it showed some promising results in studies focusing on breast cancer patients in improving diagnoses and therapy response assessment. Nevertheless, the use of radiomics raises a number of issues regarding feature quantification and robustness. Therefore, our study aim was to determine the robustness of radiomics features extracted by two commonly used radiomics software with respect to variability in manual breast tumor segmentation on MRI. A total of 129 histologically confirmed breast tumors were segmented manually in three dimensions on the first post-contrast T1-weighted MR exam by four observers: a dedicated breast radiologist, a resident, a Ph.D. candidate, and a medical student. Robust features were assessed using the intraclass correlation coefficient (ICC > 0.9). The inter-observer variability was evaluated by the volumetric Dice Similarity Coefficient (DSC). The mean DSC for all tumors was 0.81 (range 0.19–0.96), indicating a good spatial overlap of the segmentations based on observers of varying expertise. In total, 41.6% (552/1328) and 32.8% (273/833) of all RadiomiX and Pyradiomics features, respectively, were identified as robust and were independent of inter-observer manual segmentation variability.
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Lin D, Lapen K, Sherer MV, Kantor J, Zhang Z, Boyce LM, Bosch W, Korenstein D, Gillespie EF. A Systematic Review of Contouring Guidelines in Radiation Oncology: Analysis of Frequency, Methodology, and Delivery of Consensus Recommendations. Int J Radiat Oncol Biol Phys 2020; 107:827-835. [PMID: 32311418 PMCID: PMC8262136 DOI: 10.1016/j.ijrobp.2020.04.011] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/05/2020] [Accepted: 04/08/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE Clinical trials have described variation in radiation therapy plan quality, of which contour delineation is a key component, and linked this to inferior patient outcomes. In response, consensus guidelines have been developed to standardize contour delineation. This investigation assesses trends in contouring guidelines and examines the methodologies used to generate and deliver recommendations. METHODS AND MATERIALS We conducted a literature search for contouring guidelines published after 1995. Of 11,124 citations, 332 were identified for full-text review to determine inclusion. We abstracted articles for the intent of the consensus process, key elements of the methodology, and mode of information delivery. A Fisher exact test was used to identify elements that differed among the guidelines generated for clinical trials and routine care. RESULTS Overall, 142 guidelines were included, of which 16 (11%) were developed for a clinical trial. There was an increase in guideline publication over time (0 from 1995-1999 vs 65 from 2015- 2019; P = .03), particularly among recommendations for stereotactic radiation and brachytherapy. The most common disease sites were head and neck (24%), gastrointestinal (12%), and gynecologic (12%). Methods used to develop recommendations included literature review (50%) and image-based methods (45%). Panels included a median of 10 physicians (interquartile range, 7-16); 70% of panels represented multidisciplinary expertise. Guidelines developed for a clinical trial were more likely to include an image-based approach, with quantitative analysis of contours submitted by the panel members and to publish a full set of image-based recommendations (P < .005). CONCLUSIONS This review highlights an increase in consensus contouring recommendations over time. Guidelines focus on disease sites, such as head and neck, with evidence supporting a correlation between treatment planning and patient outcomes, although variation exists in the approach to the consensus process. Elements that may improve guideline acceptance (ie, image-based consensus contour analysis) and usability (ie, inclusion of a full image set) are more common in guidelines developed for clinical trials.
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Affiliation(s)
- Diana Lin
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kaitlyn Lapen
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael V Sherer
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California
| | - Jolie Kantor
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Zhigang Zhang
- Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lindsay M Boyce
- Memorial Sloan Kettering Library, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Walter Bosch
- Department of Radiation Oncology, Washington University in St Louis, St Louis, Missouri
| | - Deborah Korenstein
- Center for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Erin F Gillespie
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York; Center for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, New York, New York.
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Kim N, Chang JS, Kim YB, Kim JS. Atlas-based auto-segmentation for postoperative radiotherapy planning in endometrial and cervical cancers. Radiat Oncol 2020; 15:106. [PMID: 32404123 PMCID: PMC7218589 DOI: 10.1186/s13014-020-01562-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 05/05/2020] [Indexed: 12/22/2022] Open
Abstract
Background Since intensity-modulated radiation therapy (IMRT) has become popular for the treatment of gynecologic cancers, the contouring process has become more critical. This study evaluated the feasibility of atlas-based auto-segmentation (ABAS) for contouring in patients with endometrial and cervical cancers. Methods A total of 75 sets of planning CT images from 75 patients were collected. Contours for the pelvic nodal clinical target volume (CTV), femur, and bladder were carefully generated by two skilled radiation oncologists. Of 75 patients, 60 were randomly registered in three different atlas libraries for ABAS in groups of 20, 40, or 60. ABAS was conducted in 15 patients, followed by manual correction (ABASc). The time required to generate all contours was recorded, and the accuracy of segmentation was assessed using Dice’s coefficient (DC) and the Hausdorff distance (HD) and compared to those of manually delineated contours. Results For ABAS-CTV, the best results were achieved with groups of 60 patients (DC, 0.79; HD, 19.7 mm) and the worst results with groups of 20 patients (DC, 0.75; p = 0.012; HD, 21.3 mm; p = 0.002). ABASc-CTV performed better than ABAS-CTV in terms of both HD and DC (ABASc [n = 60]; DC, 0.84; HD, 15.6 mm; all p < 0.017). ABAS required an average of 45.1 s, whereas ABASc required 191.1 s; both methods required less time than the manual methods (p < 0.001). Both ABAS-Femur and simultaneous ABAS-Bilateral-femurs showed satisfactory performance, regardless of the atlas library used (DC > 0.9 and HD ≤10.0 mm), with significant time reduction compared to that needed for manual delineation (p < 0.001). However, ABAS-Bladder did not prove to be feasible, with inferior results regardless of library size (DC < 0.6 and HD > 40 mm). Furthermore, ABASc-Bladder required a longer processing time than manual contouring to achieve the same accuracy. Conclusions ABAS could help physicians to delineate the CTV and organs-at-risk (e.g., femurs) in IMRT planning considering its consistency, efficacy, and accuracy.
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Affiliation(s)
- Nalee Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.,Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Jee Suk Chang
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Yong Bae Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea
| | - Jin Sung Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea.
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Owens R, Mukherjee S, Padmanaban S, Hawes E, Jacobs C, Weaver A, Betts M, Muirhead R. Intensity-Modulated Radiotherapy With a Simultaneous Integrated Boost in Rectal Cancer. Clin Oncol (R Coll Radiol) 2020; 32:35-42. [DOI: 10.1016/j.clon.2019.07.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 05/31/2019] [Accepted: 07/06/2019] [Indexed: 02/06/2023]
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Cacicedo J, Navarro-Martin A, Gonzalez-Larragan S, De Bari B, Salem A, Dahele M. Systematic review of educational interventions to improve contouring in radiotherapy. Radiother Oncol 2019; 144:86-92. [PMID: 31786422 DOI: 10.1016/j.radonc.2019.11.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 10/31/2019] [Accepted: 11/04/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE Contouring is a critical step in the radiotherapy process, but there is limited research on how to teach it and no consensus about the best method. We summarize the current evidence regarding improvement of contouring skills. METHODS AND MATERIALS Comprehensive literature search of the Pubmed-MEDLINE database, EMBASE database and Cochrane Library to identify relevant studies (independently examined by two investigators) that included baseline contouring followed by a re-contouring assessment after an educational intervention. RESULTS 598 papers were identified. 16 studies met the inclusion criteria representing 370 participants (average number of participants per study of 23; range (4-141). Regarding the teaching methodology, 5/16 used onsite courses, 8/16 online courses, and 2/16 used blended learning. Study quality was heterogenous. There were only 3 randomized studies and only 3 analyzed the dosimetric impact of improving contouring homogeneity. Dice similarity coefficient was the most common evaluation metric (7/16), and in all these studies at least some contours improved significantly post-intervention. The time frame for evaluating the learning effect of the teaching intervention was almost exclusively short-time, with only one study evaluating the long-term utility of the educational program beyond 6 months. CONCLUSION The literature on educational interventions designed to improve contouring performance is limited and heterogenous. Onsite, online and blended learning courses have all been shown to be helpful, however, sample sizes are small and impact assessment is almost exclusively short-term and typically does not take into account the effect on treatment planning. The most effective teaching methodology/format is unknown and impact on daily clinical practice is uncertain.
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Affiliation(s)
- Jon Cacicedo
- Radiation Oncology Department, Cruces University Hospital, Osakidetza/Biocruces Health Research Institute/Department of Surgery, Radiology and Physical Medicine of the University of the Basque Country (UPV/EHU), Barakaldo, Spain.
| | - Arturo Navarro-Martin
- Radiation Oncology Department, Hospital Duran i Reynals (ICO) Avda, Gran VIa de ĹHospitalet, Barcelona, Spain.
| | | | - Berardino De Bari
- Radiation Oncology Department, Centre Hospitalier Régional Universitaire Jean Minjoz, INSERM U1098 EFS/BFC, Besançon, France.
| | - Ahmed Salem
- Division of Cancer Sciences, University of Manchester, United Kingdom; Department of Clinical Oncology, The Christie Hospital NHS Trust, Manchester, United Kingdom.
| | - Max Dahele
- Department of Radiation Oncology, Cancer Center Amsterdam, Amsterdam UMC (VUmc location), the Netherlands.
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22
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Sherer MV, Lin D, Puri K, Panjwani N, Zhang Z, Murphy JD, Gillespie EF. Development and Usage of eContour, a Novel, Three-Dimensional, Image-Based Web Site to Facilitate Access to Contouring Guidelines at the Point of Care. JCO Clin Cancer Inform 2019; 3:1-9. [PMID: 31756136 PMCID: PMC6882522 DOI: 10.1200/cci.19.00041] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/02/2019] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Variation in contouring quality by radiation oncologists is common and can have significant clinical consequences. Image-based guidelines can improve contour accuracy but are underused. We sought to develop a free, online, easily accessible contouring resource that allows users to scroll through cases with 3-dimensional images and access relevant evidence-based contouring information. MATERIALS AND METHODS eContour (http://econtour.org) was developed using modern Web technologies, primarily HTML5, Python, and JavaScript, to display JPEGs generated from DICOM files from real patient cases. The viewer has standard tools for image manipulation as well as toggling of contours and overlayed images and radiation dose distributions. Brief written content references published guidelines for contour delineation. Mixpanel software was used to collect Web page usage statistics. RESULTS In the first 3 years of operation (March 8, 2016 to March 7, 2019), a total of 13,391 users from 128 countries registered on the Web site, including 2,358 physicians from the United States. High-frequency users were more likely to be physicians (P < .001) and from the United States (P < .001). In one 6-month period, there were 68,642 individual case page views, with head-and-neck the most commonly viewed disease site (32%). Users who accessed a head-and-neck case were more likely to be high-frequency users, and 67% of repeat users accessed the same case more than once. CONCLUSION The large, diverse user base and steady growth in Web site traffic over the first 3 years of eContour demonstrate its strong potential to address the unmet need for dissemination and use of evidence-based contouring information at the point of care.
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Affiliation(s)
| | - Diana Lin
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Zhigang Zhang
- Memorial Sloan Kettering Cancer Center, New York, NY
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23
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Olsson C, Nyholm T, Wieslander E, Onjukka E, Gunnlaugsson A, Reizenstein J, Johnsson S, Kristensen I, Skönevik J, Karlsson M, Isacsson U, Flejmer A, Abel E, Nordström F, Nyström L, Bergfeldt K, Zackrisson B, Valdman A. Initial experience with introducing national guidelines for CT- and MRI-based delineation of organs at risk in radiotherapy. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2019; 11:88-91. [PMID: 33458285 PMCID: PMC7807599 DOI: 10.1016/j.phro.2019.08.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 08/30/2019] [Accepted: 08/30/2019] [Indexed: 12/25/2022]
Abstract
A fundamental problem in radiotherapy is the variation of organ at risk (OAR) volumes. Here we present our initial experience in engaging a large Radiation Oncology (RO) community to agree on national guidelines for OAR delineations. Our project builds on associated standardization initiatives and invites professionals from all radiotherapy departments nationwide. Presently, one guideline (rectum) has successfully been agreed on by a majority vote. Reaching out to all relevant parties in a timely manner and motivating funding agencies to support the work represented early challenges. Population-based data and a scalable methodological approach are major strengths of the proposed strategy.
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Affiliation(s)
- Caroline Olsson
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Sweden.,Regional Cancer Centre West, Western Sweden Healthcare Region, Gothenburg, Sweden
| | - Tufve Nyholm
- Department of Radiation Sciences, Umeå University, Sweden
| | - Elinore Wieslander
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | - Eva Onjukka
- Department of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | | | - Johan Reizenstein
- Department of Oncology, Örebro University Hospital and Örebro University, Sweden
| | - Stefan Johnsson
- Department of Radiation Physics, Kalmar County Hospital, Sweden
| | - Ingrid Kristensen
- Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Sweden
| | - Johan Skönevik
- Department of Radiation Sciences, Umeå University, Sweden
| | | | - Ulf Isacsson
- Medical Radiation Physics, Dept. of Biomedical Engineering, Medical Physics and IT, Uppsala University Hospital, Uppsala, Sweden
| | - Anna Flejmer
- Department of Oncology, Linköping University Hospital, Sweden
| | - Edvard Abel
- Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Fredrik Nordström
- Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg University, Sweden.,Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Leif Nyström
- Department of Radiation Sciences, Umeå University, Sweden
| | | | | | - Alexander Valdman
- Department of Radiation Therapy, Karolinska University Hospital, Stockholm, Sweden
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24
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Elhalawani H, Elgohari B, Lin TA, Mohamed ASR, Fitzgerald TJ, Laurie F, Ulin K, Kalpathy-Cramer J, Guerrero T, Holliday EB, Russo G, Patel A, Jones W, Walker GV, Awan M, Choi M, Dagan R, Mahmoud O, Shapiro A, Kong FMS, Gomez D, Zeng J, Decker R, Spoelstra FOB, Gaspar LE, Kachnic LA, Thomas CR, Okunieff P, Fuller CD. An in-silico quality assurance study of contouring target volumes in thoracic tumors within a cooperative group setting. Clin Transl Radiat Oncol 2019; 15:83-92. [PMID: 30775563 PMCID: PMC6365802 DOI: 10.1016/j.ctro.2019.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 01/03/2019] [Accepted: 01/04/2019] [Indexed: 12/25/2022] Open
Abstract
We aimed at quantifying inter-observer Pancoast tumors delineation variability. Experts’ delineations were used to define ground truth. Other observers’ delineations were compared against ground truth. High degree of variability was noted for most target volumes except GTV_P. This unveils potentials for protocol modification for future IMRT studies.
Introduction Target delineation variability is a significant technical impediment in multi-institutional trials which employ intensity modulated radiotherapy (IMRT), as there is a real potential for clinically meaningful variances that can impact the outcomes in clinical trials. The goal of this study is to determine the variability of target delineation among participants from different institutions as part of Southwest Oncology Group (SWOG) Radiotherapy Committee’s multi-institutional in-silico quality assurance study in patients with Pancoast tumors as a “dry run” for trial implementation. Methods CT simulation scans were acquired from four patients with Pancoast tumor. Two patients had simulation 4D-CT and FDG-FDG PET-CT while two patients had 3D-CT and FDG-FDG PET-CT. Seventeen SWOG-affiliated physicians independently delineated target volumes defined as gross primary and nodal tumor volumes (GTV_P & GTV_N), clinical target volume (CTV), and planning target volume (PTV). Six board-certified thoracic radiation oncologists were designated as the ‘Experts’ for this study. Their delineations were used to create a simultaneous truth and performance level estimation (STAPLE) contours using ADMIRE software (Elekta AB, Sweden 2017). Individual participants’ contours were then compared with Experts’ STAPLE contours. Results When compared to the Experts’ STAPLE, GTV_P had the best agreement among all participants, while GTV_N showed the lowest agreement among all participants. There were no statistically significant differences in all studied parameters for all TVs for cases with 4D-CT versus cases with 3D-CT simulation scans. Conclusions High degree of inter-observer variation was noted for all target volume except for GTV_P, unveiling potentials for protocol modification for subsequent clinically meaningful improvement in target definition. Various similarity indices exist that can be used to guide multi-institutional radiotherapy delineation QA credentialing.
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Affiliation(s)
- Hesham Elhalawani
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA
| | - Baher Elgohari
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA
| | - Timothy A Lin
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA.,Baylor College of Medicine, TX 77030, USA
| | - Abdallah S R Mohamed
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA.,Department of Clinical Oncology and Nuclear Medicine, Alexandria University, Alexandria, Egypt
| | - Thomas J Fitzgerald
- Imaging and Radiation Oncology Core QA Center Rhode Island, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Fran Laurie
- Imaging and Radiation Oncology Core QA Center Rhode Island, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Kenneth Ulin
- Imaging and Radiation Oncology Core QA Center Rhode Island, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Jayashree Kalpathy-Cramer
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Massachusetts, USA
| | - Thomas Guerrero
- Department of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA
| | - Emma B Holliday
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA
| | - Gregory Russo
- Department of Radiation Oncology, Boston Medical Center, Massachusetts, USA
| | - Abhilasha Patel
- Department of Radiation Oncology, University of Texas Health Sciences Center at San Antonio, TX, USA
| | - William Jones
- Department of Radiation Oncology, University of Texas Health Sciences Center at San Antonio, TX, USA
| | - Gary V Walker
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA.,Department of Radiation Oncology, Banner MD Anderson Cancer Center, Gilbert, Arizona, USA
| | - Musaddiq Awan
- Department of Radiation Oncology, Case Western Reserve University, OH, USA
| | - Mehee Choi
- Department of Radiation Oncology, Northwestern University, IL, USA
| | - Roi Dagan
- University of Florida Health Proton Therapy Institute, FL, USA
| | - Omar Mahmoud
- Department of Radiation Oncology, University of Miami, FL, USA
| | - Anna Shapiro
- Department of Radiation Oncology, Upstate Cancer Center, SUNY Upstate Medical University, NY, USA
| | - Feng-Ming Spring Kong
- Department of Radiation Oncology, University Hospitals Cleveland Medical Center, OH, USA
| | - Daniel Gomez
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA
| | - Jing Zeng
- Department of Radiation Oncology, University of Washington Medical Center, WA, USA
| | - Roy Decker
- Department of Therapeutic Radiology, Yale University School of Medicine, Connecticut, USA
| | - Femke O B Spoelstra
- Department of Radiation Oncology, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, The Netherlands
| | - Laurie E Gaspar
- Department of Radiation Oncology, Vanderbilt University, TN, USA
| | - Lisa A Kachnic
- Department of Radiation Oncology, Vanderbilt University Medical Center, Tennessee, USA
| | - Charles R Thomas
- Department of Radiation Medicine, Oregon Health & Science University, Oregon, USA
| | - Paul Okunieff
- SWOG, Department of Radiation Oncology, University of Florida College of Medicine, Florida, USA
| | - Clifton D Fuller
- Department of Radiation Oncology, University of Texas M.D. Anderson Cancer Center, TX 77030, USA
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Dapper H, Rodríguez I, Münch S, Peeken JC, Borm K, Combs SE, Habermehl D. Impact of VMAT-IMRT compared to 3D conformal radiotherapy on anal sphincter dose distribution in neoadjuvant chemoradiation of rectal cancer. Radiat Oncol 2018; 13:237. [PMID: 30509284 PMCID: PMC6276230 DOI: 10.1186/s13014-018-1187-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Accepted: 11/19/2018] [Indexed: 12/13/2022] Open
Abstract
Background Neoadjuvant radio- or chemoradiation (nIRT) therapy is the standard treatment for loco-regional advanced rectal cancer patients of the lower or middle third. Currently, intensity modulated radiation therapy (IMRT) is not the recommended radiation technique even though IMRT has advantages compared to 3D-radiation regarding dose sparing to organs at risk like small bowel and urinary bladder. So far, the benefit of IMRT concerning the anal sphincter complex is not examined. With this study we intended to evaluate the dose distribution on the anal sphincters of rectal cancer patients treated with IMRT in comparison with 3D-techniques. Methods We selected 16 patients for the IMRT-group and 16 patients for the 3D-group with rectal cancer of the middle third who were treated in our institute. All patients received 45 Gy in a chemoradiation protocol. Patients in both groups were matched regarding stage, primary tumor distance to the anal verge and size of the tumor. We delineated the internal and external anal sphincters, the addition of both sphincters and the levator ani muscle in all patients. Subsequently, we evaluated and compared dose parameters of the different sphincters in both groups and analysed the configuration of the isodoses in the area of the caudal radiation field, respectively. Results Most of the relevant dose parameters of the caudal sphincters (Dmean, Dmedian, V10–V40) were significantly reduced in the IMRT-group compared to the 3D-group. Accordingly, the isodoses at the caudal edge of the target volume in the IMRT group demonstrated a steep dose fall. The levator ani muscle always was included into the planned target volumes and received the full dose in both groups. Conclusions The modern VMAT-IMRT can significantly reduce the dose to the anal sphincters for rectal cancer patients of the middle third who were treated with conventional chemoradiation therapy.
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Affiliation(s)
- Hendrik Dapper
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany.
| | - Iván Rodríguez
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Stefan Münch
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Pettenkoferstr. 8a, 80336, Munich, Germany
| | - Jan C Peeken
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Kai Borm
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany.,Institut für innovative Radiotherapie (iRT), Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Pettenkoferstr. 8a, 80336, Munich, Germany
| | - Daniel Habermehl
- Department of Radiation Oncology, Klinikum rechts der Isar, TU München, Ismaninger Str. 22, 81675, Munich, Germany
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Pavic M, Bogowicz M, Würms X, Glatz S, Finazzi T, Riesterer O, Roesch J, Rudofsky L, Friess M, Veit-Haibach P, Huellner M, Opitz I, Weder W, Frauenfelder T, Guckenberger M, Tanadini-Lang S. Influence of inter-observer delineation variability on radiomics stability in different tumor sites. Acta Oncol 2018. [PMID: 29513054 DOI: 10.1080/0284186x.2018.1445283] [Citation(s) in RCA: 142] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Radiomics is a promising methodology for quantitative analysis and description of radiological images using advanced mathematics and statistics. Tumor delineation, which is still often done manually, is an essential step in radiomics, however, inter-observer variability is a well-known uncertainty in radiation oncology. This study investigated the impact of inter-observer variability (IOV) in manual tumor delineation on the reliability of radiomic features (RF). METHODS Three different tumor types (head and neck squamous cell carcinoma (HNSCC), malignant pleural mesothelioma (MPM) and non-small cell lung cancer (NSCLC)) were included. For each site, eleven individual tumors were contoured on CT scans by three experienced radiation oncologists. Dice coefficients (DC) were calculated for quantification of delineation variability. RF were calculated with an in-house developed software implementation, which comprises 1404 features: shape (n = 18), histogram (n = 17), texture (n = 137) and wavelet (n = 1232). The IOV of RF was studied using the intraclass correlation coefficient (ICC). An ICC >0.8 indicates a good reproducibility. For the stable RF, an average linkage hierarchical clustering was performed to identify classes of uncorrelated features. RESULTS Median DC was high for NSCLC (0.86, range 0.57-0.90) and HNSCC (0.72, 0.21-0.89), whereas it was low for MPM (0.26, 0-0.9) indicating substantial IOV. Stability rate of RF correlated with DC and depended on tumor site, showing a high stability in NSCLC (90% of total parameters), acceptable stability in HNSCC (59% of total parameters) and low stability in MPM (36% of total parameters). Shape features showed the weakest stability across all tumor types. Hierarchical clustering revealed 14 groups of correlated and stable features for NSCLC and 6 groups for both HNSCC and MPM. CONCLUSION Inter-observer delineation variability has a relevant influence on radiomics analysis and is strongly influenced by tumor type. This leads to a reduced number of suitable imaging features.
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Affiliation(s)
- Matea Pavic
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Marta Bogowicz
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Xaver Würms
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Stefan Glatz
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Tobias Finazzi
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Oliver Riesterer
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Johannes Roesch
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Leonie Rudofsky
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - Martina Friess
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Patrick Veit-Haibach
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Martin Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Isabelle Opitz
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Walter Weder
- Department of Thoracic Surgery, University Hospital Zurich, Zurich, Switzerland
| | - Thomas Frauenfelder
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland
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Grivas N, van der Roest RC, de Korne CM, KleinJan GH, Sikorska K, Schoots IG, Tillier C, van der Broek B, Jalink K, Heijmink SWTJP, Buckle T, van Leeuwen FWB, van der Poel HG. The value of periprostatic fascia thickness and fascia preservation as prognostic factors of erectile function after nerve-sparing robot-assisted radical prostatectomy. World J Urol 2018; 37:309-315. [PMID: 29936567 DOI: 10.1007/s00345-018-2387-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 06/19/2018] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To determine the correlation of preoperative fascia thickness (FT) and intraoperative fascia preservation (FP) with erectile function (EF) after nerve-sparing robot-assisted radical prostatectomy (RARP). METHODS Our analysis included 106 patients, with localized prostate cancer and no erectile dysfunction (ED) before RARP, assessed with preoperative 3 Tesla (3 T) multiparametric magnetic resonance imaging (MRI). FP score was defined as the extent of FP from the base to the apex of the prostate, quantitatively assessed by the surgeon. Median fascia thickness (MFT) per patient was defined as the sum of the median FT of 12 MRI regions. Preserved MFT (pMFT) was the sum of the saved MFT. The percentage of pFMT (ppMFT) was also calculated. Fascia surface (FS) was measured on MRI and it was combined with FP score resulting in preserved FS (pFS) and percentage of pFS (ppFS). RESULTS FP score, pMFT, ppMFT, pFS and ppFS were significantly lower (p < 0.0001) in patients with ED. In the multivariate regression analysis, lower FP score [odds ratio (OR) 0.721, p = 0.03] and lower ppMFT (OR 0.001, p = 0.027) were independent predictors of ED. ROC analysis showed the highest area under the curve for ppMFT (0.787) and FP score (0.767) followed by pMFT (0.755) and ppFS (0.743). CONCLUSIONS MRI-determined periprostatic FT combined with intraoperative FP score are correlated to postprostatectomy EF. Based on the hypothesis that a thicker fascia forms a protective layer for the nerves, we recommend assessing FT preoperatively to counsel men for the odds of preserving EF after RARP.
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Affiliation(s)
- Nikolaos Grivas
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Rosanne C van der Roest
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Clarize M de Korne
- Department of Radiology, Interventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands
| | - Gijs H KleinJan
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Department of Radiology, Interventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands
| | - Karolina Sikorska
- Department of Biometrics, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Ivo G Schoots
- Department of Radiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Corinne Tillier
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Bram van der Broek
- Department of Cell Biology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Kees Jalink
- Department of Cell Biology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Stijn W T J P Heijmink
- Department of Radiology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
| | - Tessa Buckle
- Department of Radiology, Interventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands
| | - Fijs W B van Leeuwen
- Department of Radiology, Interventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands
| | - Henk G van der Poel
- Department of Urology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
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28
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Franco P, Arcadipane F, Trino E, Gallio E, Martini S, Iorio GC, Piva C, Moretto F, Ruo Redda MG, Verna R, Tseroni V, Bona C, Pozzi G, Fiandra C, Ragona R, Bertetto O, Ricardi U. Variability of clinical target volume delineation for rectal cancer patients planned for neoadjuvant radiotherapy with the aid of the platform Anatom-e. Clin Transl Radiat Oncol 2018; 11:33-39. [PMID: 29928706 PMCID: PMC6008279 DOI: 10.1016/j.ctro.2018.06.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Revised: 06/05/2018] [Accepted: 06/08/2018] [Indexed: 02/08/2023] Open
Abstract
Objective Delineation of treatment volumes is a major source of uncertainties in radiotherapy (RT). This is also true for rectal cancer patients undergoing neoadjuvant RT, with a potential impact on treatment quality. We investigated the role of the digital platform Anatom-e (Anatom-e Information Sytems Ltd., Houston, Texas) in increasing the compliance to follow a specific treatment protocol in a multicentric setting. Materials and methods Two clinical cases of locally advanced rectal cancer were chosen. Participants were instructed to follow the 2009 Radiation Therapy Oncology Group consensus atlas and asked to manually segment clinical target volumes (CTVs), for both patient 1 and 2, on day 1 with and without the use of Anatom-e. After one week (day 2), the same radiation oncologist contoured again, with and without Anatom-e, the same CT series. Intraobserver (Intra-OV) and interobserver (Inter-OV) variability were evaluated with the Dice similarity coefficient (DSC), the Hausdorff distance (HD) and mean distance to agreement (MDA). Results For clinical case 1, no significant difference was found for Intra-OV and Inter-OV. For clinical case 2, no significant difference was found for Intra-OV but a statistically significant difference was found for Inter-OV in DSC when using or not the platform. Mean DCS was 0.65 (SD: ±0.64; range: 0.58-0.79) for day 1 vs reference volume without Anatom-e and 0.72 (SD: ±0.39; range: 0.67-0.77) (p = 0.03) with it. Mean MDA was lower with Anatom-e (3.61; SD: ±1.33; range: 2.85-4.78) than without (4.14; SD: ±2.97; range: 2.18-5.21), with no statistical significance (p = 0.21) The use of Anatom-e decreased the SD from 2.97 to 1.33. Mean HD was lower with Anatom-e (26.06; SD: ±2.05; range: 24.08-32.62), with no statistical significance (p = 0.14) compared to that without (31.39; SD: ±1.31; range: 26.14-48.72). Conclusions The use of Anatom-e decreased the Inter-OV in the CTV delineation process for locally advanced rectal cancer with complex disease presentation planned for neoadjuvant RT. This system may be potentially helpful in increasing the compliance to follow shared guidelines and protocols.
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Key Words
- AJCC/UICC, American Joint Committee on Cancer/Union Internationale Contre le Cancer
- CHT, chemotherapy
- CT, computed tomography
- CTV, clinical target volume
- Contouring
- DSC, Dice similarity coefficient
- GTV, gross tumor volume
- HD, Hausdorff distance
- Inter-OV, inter-observer variability
- Interobserver variability
- Intra-OV, intra-observer variability
- MDA, mean distance to agreement
- MR, magnetic resonance imaging
- Neoadjuvant radiotherapy
- OARs, organs at risk
- RT, radiotherapy
- RTOG, Radiation Therapy Oncology Group
- Rectal cancer
- Ros, radiation oncologists
- SD, standard deviation
- SWOG, Radiation Committee of the Southwest Oncology Group
- Target volume delineation
- VMAT, volumetric modulated arc therapy
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Affiliation(s)
- Pierfrancesco Franco
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | - Francesca Arcadipane
- Department of Oncology, Radiation Oncology, AOU Citta' della Salute e della Scienza, Turin, Italy
| | - Elisabetta Trino
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | - Elena Gallio
- Department of Medical Physics, AOU Citta' della Salute e della Scienza, Turin, Italy
| | - Stefania Martini
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | - Giuseppe Carlo Iorio
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | - Cristina Piva
- Department of Radiation Oncology, Ivrea Community Hospital, Ivrea, Italy
| | - Francesco Moretto
- Department of Radiation Oncology, 'Cardinal Massaia' Community Hospital, Asti, Italy
| | - Maria Grazia Ruo Redda
- Department of Oncology, Radiation Oncology, University of Turin, AO Ordine Mauriziano, Turin, Italy
| | - Roberta Verna
- Department of Radiation Oncology, AOU San Luigi Gonzaga, Orbassano (TO), Italy
| | - Vassiliki Tseroni
- Department of Oncology, Radiation Oncology, AOU Citta' della Salute e della Scienza, Presidio San Giovanni Antica Sede, Turin, Italy
| | - Cristina Bona
- Department of Radiation Oncology, ASL Verbano Cusio Ossola, Verbania, Italy
| | - Gabriele Pozzi
- Department of Radiation Oncology, AO 'SS Antonio e Biagio e Cesare Arrigo', Alessandria, Italy
| | - Christian Fiandra
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | - Riccardo Ragona
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
| | | | - Umberto Ricardi
- Department of Oncology, Radiation Oncology, University of Turin, AOU Citta' della salute e della Scienza, Turin, Italy
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Choi SH, Chang JS, Yoon HI, Jang DS, Kim NK, Lim JS, Min BS, Huh H, Shin SJ, Ahn JB, Koom WS. Mapping of lateral pelvic lymph node recurrences in rectal cancer: a radiation oncologist's perspective. J Cancer Res Clin Oncol 2018; 144:1119-1128. [PMID: 29546480 DOI: 10.1007/s00432-018-2624-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Accepted: 03/07/2018] [Indexed: 01/02/2023]
Abstract
PURPOSE Patterns of locoregional rectal cancer recurrences following total mesorectal excision (TME) were analyzed to define the irradiation volume, especially the lateral pelvic lymph node (LPLN). MATERIALS AND METHODS Of 1243 patients who underwent TME without pelvic radiotherapy between 2005 and 2012, the data of 826 patients with rectal adenocarcinoma without distant metastases were analyzed for relapse patterns, categorized as distant and locoregional (anastomosis, mesorectum, presacral area, and LPLNs) failure. RESULTS The median follow-up was 61.8 months. The 5-year local recurrence-free, distant metastasis-free, overall survival rates were 88, 82, and 89%, respectively. Relapse occurred in 108 (13%) patients: 90 (11%) had distant and 28 (3%) had locoregional failure. Eight patients had LPLN recurrence: the 2 recurrences from upper rectal cancers occurred near the bifurcation of the common iliac artery into the external and internal iliac vessels; the 6 mid-lower rectal cancers had 16 recurrences near the internal iliac and obturator arteries-five occurred anterior to the obturator artery and posterior to the external iliac artery, superior to the femoral head. LPLN recurrence was associated with pN2 stage, perinodal extension, and lymphovascular invasion. CONCLUSION The LPLN component of pre- or postoperative irradiation volumes could potentially be optimized based on our mapping data. However, since patients in our institution at high risk for relapse received either preoperative or postoperative chemoradiation, further analyses are needed to confirm our findings.
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Affiliation(s)
- Seo Hee Choi
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Jee Suk Chang
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Hong In Yoon
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Dong-Su Jang
- Department of Sculpture, Hongik University, Seoul, Republic of Korea
| | - Nam Kyu Kim
- Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joon Seok Lim
- Department of Radiology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byung So Min
- Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyuk Huh
- Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Joon Shin
- Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Joong Bae Ahn
- Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woong Sub Koom
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
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30
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Jones MP, Martin J, Foo K, Estoesta P, Holloway L, Jameson M. The impact of contour variation on tumour control probability in anal cancer. Radiat Oncol 2018; 13:97. [PMID: 29776418 PMCID: PMC5960192 DOI: 10.1186/s13014-018-1033-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 04/18/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND While intensity modulated radiotherapy (IMRT) has been widely adopted for the treatment of anal cancer (AC), the added contour complexity poses potential risks. This study investigates the impact of contour variation on tumour control probability (TCP) when using IMRT for AC. METHODS Nine Australian centres contoured a single computed tomography dataset of a patient with AC. The same optimised template-based IMRT planning protocol was applied to each contour set to generate nine representative treatment plans and their corresponding dose volume histograms. A geometric analysis was performed on all contours. The TCP was calculated for each plan using the linear quadratic and logitEUD model. RESULTS The median concordance index (CI) for the bladder, head and neck of femur, bone marrow, small bowel and external genitalia was 0.94, 0.88, 0.84, 0.65 and 0.65, respectively. The median CI for the involved nodal, primary tumour and elective clinical target volumes were 0.85, 0.77 and 0.71, respectively. Across the nine plans, the TCP was not significantly different. Variation in TCP between plans increased as tumour cell load increased or radiation dose decreased. CONCLUSIONS When using IMRT for AC, contour variations generated from a common protocol within the limits of minor deviations do not appear to have a significant impact on TCP. Contouring variations may be more critical with increasing tumour cell load or reducing radiotherapy dose.
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Affiliation(s)
- Michael P Jones
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia. .,Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia.
| | - Jarad Martin
- School of Medicine and Public Health, University of Newcastle, Callaghan, NSW, Australia.,Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, NSW, Australia
| | - Kerwyn Foo
- Department of Radiation Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Patrick Estoesta
- Department of Radiation Oncology, Chris O'Brien Lifehouse, Camperdown, NSW, Australia
| | - Lois Holloway
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, NSW, Australia.,Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.,South West Clinical School, Faculty of Medicine, University of New South Wales, Kensington, NSW, Australia.,Institute of Medical Physics, School of Physics, University of Sydney, Camperdown, NSW, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Michael Jameson
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, NSW, Australia.,Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia.,South West Clinical School, Faculty of Medicine, University of New South Wales, Kensington, NSW, Australia
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31
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Lin JC, Tsai JT, Chen LJ, Li MH, Liu WH. Compared planning dosimetry of TOMO, VMAT and IMRT in rectal cancer with different simulated positions. Oncotarget 2018; 8:42020-42029. [PMID: 28159930 PMCID: PMC5522046 DOI: 10.18632/oncotarget.14923] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 12/27/2016] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES To compare treatment plans for helical tomotherapy (TOMO), volumetric modulated arc therapy (VMAT) and intensity-modulated radiotherapy (IMRT) for locally advanced rectal cancer (LARC). MATERIALS AND METHODS This retrospective study from December 2010 to June 2013 included 20 patients with LARC who received neoadjuvant concurrent chemoradiotherapy (CCRT) with radiation doses of greater than 50.4 Gy. Dosimetric quality was evaluated based on doses to organs at risk (OARs), including small bowel, urinary bladder and bilateral femoral head, over the same coverage of the clinical target volume (CTV). RESULTS In supine comparison of IMRT with VMAT, VMAT treatment plan had a lower hot spot dose (p=0.0154) and better conformity index (CI, p=0.0036) and homogeneity index (HI, p=0.0246). Lower bladder V34.98 (p=0.0008), V40 (p=0.0058), mean dose (p<0.0001), femoral head mean dose (p=0.0089), V30 (p<0.0001), V40 (p=0.0013) and better CI (p<0.0001) and HI (p=0.0001) were observed for TOMO compared with IMRT. Patients with LARC receiving TOMO planning had lower bladder V34.98 (p=0.0021), V40 (p=0.0055), mean dose (p=0.0039), femoral head mean dose (p=0.0060), V30 (p<0.0001), and V40 (p=0.0044) and better CI (p=0.0157) and HI (p=0.0292) than VMAT. Comparing prone and supine position image planning, there were no significant differences, including in OARs in the three planning systems, except for lower bladder V34.98 (p=0.0403) in the supine position using TOMO. CONCLUSIONS Using modern radiation techniques, neither prone nor supine positions provide better values for OARs. TOMO was superior to IMRT and VMAT in sparing OARs and planning quality parameters.
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Affiliation(s)
- Jang-Chun Lin
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan, ROC.,Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.,Graduate Institute of Clinical Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC.,Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC
| | - Jo-Ting Tsai
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan, ROC.,Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, ROC
| | - Li-Jhen Chen
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan, ROC
| | - Ming-Hsien Li
- Department of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan, ROC
| | - Wei-Hsiu Liu
- Department of Neurological Surgery, Tri-Service General Hospital and National Defense Medical Center, Taipei, Taiwan, ROC.,Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan, ROC
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32
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Gambacorta MA, Boldrini L, Valentini C, Dinapoli N, Mattiucci GC, Chiloiro G, Pasini D, Manfrida S, Caria N, Minsky BD, Valentini V. Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study. Oncotarget 2018; 7:42579-42584. [PMID: 27302924 PMCID: PMC5173157 DOI: 10.18632/oncotarget.9938] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 05/17/2016] [Indexed: 11/25/2022] Open
Abstract
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.
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Affiliation(s)
- Maria A Gambacorta
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Luca Boldrini
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Chiara Valentini
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Nicola Dinapoli
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Gian C Mattiucci
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Giuditta Chiloiro
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Danilo Pasini
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Stefania Manfrida
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
| | - Nicola Caria
- Varian Medical Systems, Product Manager, Clinical Solutions, Palo Alto, CA, USA
| | - Bruce D Minsky
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Vincenzo Valentini
- Department of Radiation Oncology, Sacred Heart Catholic University of Rome, Rome, Italy
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33
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Li C, Zhu Y, Tong T, Xu Y, Guan Y, Wang J, Wang H, Zhu J. Pelvic recurrence after definitive surgery for locally advanced rectal cancer: a retrospective investigation of implications for precision radiotherapy field design. Oncotarget 2017; 8:95973-95980. [PMID: 29221180 PMCID: PMC5707074 DOI: 10.18632/oncotarget.21616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2017] [Accepted: 08/17/2017] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND To analyze the local distribution of pelvic recurrence after total mesorectal excision, with a view to simplifying the formulation of optimal individualized radiotherapy plans. METHODS We retrospectively investigated the data of 168 patients diagnosed with recurrent pelvic cancer treated at Fudan University Shanghai Cancer Center between January 2008 and December 2012. The following were collected depending on availability: operative report, histological report, specimen photographs, initial preoperative images, images confirming local recurrence, and clinical history. RESULTS A total of 203 lesions of local recurrence were identified. The most common sites of pelvic recurrence were the mesorectum, including the anastomotic stoma in 53.0% of cases; presacral space in 27.4%, and pelvic floor and perineum in 21.4% the cases. Recurrence was most common in the lower pelvic region (i.e., below the upper border of the acetabulum), accounting for approximately 76.2% (128 cases) of cases. In patients with mid-rectal and distal rectal carcinoma. CONCLUSIONS Patients with pelvic cancer may benefit by individualized treatment plans aimed at achieving a balance between tumor control and minimal risk of irradiation-induced toxicity.
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Affiliation(s)
- Chao Li
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yinju Zhu
- Department of Radiation Oncology, Dalian Third People's Hospital Affiliated to Dalian Medical University (Dalian Cancer Hospital), Dalian, China
| | - Tong Tong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ye Xu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yun Guan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jingwen Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huankun Wang
- Department of Radiation Oncology, Dalian Third People's Hospital Affiliated to Dalian Medical University (Dalian Cancer Hospital), Dalian, China
| | - Ji Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Men K, Dai J, Li Y. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks. Med Phys 2017; 44:6377-6389. [PMID: 28963779 DOI: 10.1002/mp.12602] [Citation(s) in RCA: 204] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 09/21/2017] [Accepted: 09/22/2017] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Delineation of the clinical target volume (CTV) and organs at risk (OARs) is very important for radiotherapy but is time-consuming and prone to inter-observer variation. Here, we proposed a novel deep dilated convolutional neural network (DDCNN)-based method for fast and consistent auto-segmentation of these structures. METHODS Our DDCNN method was an end-to-end architecture enabling fast training and testing. Specifically, it employed a novel multiple-scale convolutional architecture to extract multiple-scale context features in the early layers, which contain the original information on fine texture and boundaries and which are very useful for accurate auto-segmentation. In addition, it enlarged the receptive fields of dilated convolutions at the end of networks to capture complementary context features. Then, it replaced the fully connected layers with fully convolutional layers to achieve pixel-wise segmentation. We used data from 278 patients with rectal cancer for evaluation. The CTV and OARs were delineated and validated by senior radiation oncologists in the planning computed tomography (CT) images. A total of 218 patients chosen randomly were used for training, and the remaining 60 for validation. The Dice similarity coefficient (DSC) was used to measure segmentation accuracy. RESULTS Performance was evaluated on segmentation of the CTV and OARs. In addition, the performance of DDCNN was compared with that of U-Net. The proposed DDCNN method outperformed the U-Net for all segmentations, and the average DSC value of DDCNN was 3.8% higher than that of U-Net. Mean DSC values of DDCNN were 87.7% for the CTV, 93.4% for the bladder, 92.1% for the left femoral head, 92.3% for the right femoral head, 65.3% for the intestine, and 61.8% for the colon. The test time was 45 s per patient for segmentation of all the CTV, bladder, left and right femoral heads, colon, and intestine. We also assessed our approaches and results with those in the literature: our system showed superior performance and faster speed. CONCLUSIONS These data suggest that DDCNN can be used to segment the CTV and OARs accurately and efficiently. It was invariant to the body size, body shape, and age of the patients. DDCNN could improve the consistency of contouring and streamline radiotherapy workflows.
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Affiliation(s)
- Kuo Men
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianrong Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yexiong Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Lee JH, Lee SW, Kim JR, Kim YS, Yoon MS, Jeong S, Kim JH, Lee JY, Eom KY, Jeong BK, Lee SH. Tumour size, volume, and marker expression during radiation therapy can predict survival of cervical cancer patients: a multi-institutional retrospective analysis of KROG 16-01. Gynecol Oncol 2017; 147:577-584. [PMID: 29110878 DOI: 10.1016/j.ygyno.2017.09.036] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 08/31/2017] [Accepted: 09/30/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVE The aim of this multi-institutional study was to determine the prognostic impact of tumour parameters, such as tumour size (TS), tumour volume (TV), and marker expression, on survival during radiation therapy (RT) for cervical cancer patients. METHODS A total of 231 patients with histologically confirmed cervical cancer, classified as Federation of Gynecology and Obstetrics (FIGO) Ib2-IVa, were enrolled in this study. Pre- and mid-RT pelvic magnetic resonance imaging (MRI) and squamous cell carcinoma antigen (SCC-ag) analysis were performed twice, during RT and just before brachytherapy. RESULTS The median follow-up time was 27.8months (range, 2-116months). Multivariate analysis revealed that stage (odds ratio [OR], 2.936 and 95% confidence interval [CI], 1.119-7.707; P=0.029), tumour volume reduction rate (TVRR) (OR, 3.435 and 95% CI, 1.062-11.106; P=0.039), and SCC-ag reduction rate (SCCRR) (OR, 5.104 and 95% CI, 1.769-14.727; P=0.003) were independently associated with overall survival (OS), while pre-RT TS (OR, 2.148 and 95% CI, 1.221-3.810; P=0.009), mid-RT TV (OR, 3.106 and 95% CI, 1.685-5.724; P<0.0001) and SCCRR (OR, 1.954 and 95% CI, 1.133-3.369; P=0.016) were associated with progression-free survival (PFS). Based on the prognostic factor analysis, patients with the highest prognostic risk score of 3 showed poorer overall survival and progression free survival than patients with lower prognostic risk scores. CONCLUSION We identified that tumour parameters such as TVRR, SCCRR, pre-RT TS, and mid-RT TV areindependent and strong prognostic parameters for patients with cervical cancer receiving RT. This scoring system-based prognostic factor analysis could be used to help develop optimized treatment plans for cervical cancer patients during RT.
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Affiliation(s)
- Jong Hoon Lee
- Department of Radiation Oncology, St. Vincent's Hospital, College of Medicine, the Catholic University of Korea, Suwon, Republic of Korea
| | - Sea-Won Lee
- Department of Radiation Oncology, St. Vincent's Hospital, College of Medicine, the Catholic University of Korea, Suwon, Republic of Korea; Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Ju Ree Kim
- Department of Radiation Oncology, Cheil General Hospital, Women's Healthcare Center, Dankook University College of Medicine, Seoul, Republic of Korea
| | - Yeon Sil Kim
- Department of Radiation Oncology, Seoul St. Mary's Hospital, College of Medicine, the Catholic University of Korea, Seoul, Republic of Korea
| | - Mee Sun Yoon
- Department of Radiation Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Gwangju, South Korea
| | - Songmi Jeong
- Department of Radiation Oncology, Ewha Woman's University School of Medicine, Seoul, Republic of Korea
| | - Jin Hee Kim
- Department of Radiation Oncology, Dongsan Medical Center, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Ja Young Lee
- Department of Radiation Oncology, Yangsan Pusan National University Hospital, Yangsan, Republic of Korea
| | - Keun Yong Eom
- Department of Radiation Oncology, Seoul National University Bundang Hospital, College of Medicine, Bundang, Republic of Korea
| | - Bae Kwon Jeong
- Department of Radiation Oncology, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea
| | - Seok Ho Lee
- Department of Radiation Oncology, Gachon University of Medical and Science, Incheon, Republic of Korea.
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Gillespie EF, Panjwani N, Golden DW, Gunther J, Chapman TR, Brower JV, Kosztyla R, Larson G, Neppala P, Moiseenko V, Bykowski J, Sanghvi P, Murphy JD. Multi-institutional Randomized Trial Testing the Utility of an Interactive Three-dimensional Contouring Atlas Among Radiation Oncology Residents. Int J Radiat Oncol Biol Phys 2017; 98:547-554. [DOI: 10.1016/j.ijrobp.2016.11.050] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 11/22/2016] [Accepted: 11/27/2016] [Indexed: 12/27/2022]
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Nuzzo M, Bisceglia A, Giordano M, Giaccherini L, Guido A, Macchia G, Vinciguerra A, Mantello G, Sallustio G, Cilla S, Cammelli S, Deodato F, Buwenge M, Genovesi D, Fuccio L, Morganti AG. Clinical Target Volume Definition in Preoperative Radiotherapy of Rectal Carcinoma: a Systematic Review. CURRENT COLORECTAL CANCER REPORTS 2017. [DOI: 10.1007/s11888-017-0375-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Onal C, Cengiz M, Guler OC, Dolek Y, Ozkok S. The role of delineation education programs for improving interobserver variability in target volume delineation in gastric cancer. Br J Radiol 2017; 90:20160826. [PMID: 28339289 PMCID: PMC5605107 DOI: 10.1259/bjr.20160826] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 03/16/2017] [Accepted: 03/22/2017] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To assess whether delineation courses for radiation oncologists improve interobserver variability in target volume delineation for post-operative gastric cancer radiotherapy planning. METHODS 29 radiation oncologists delineated target volumes in a gastric cancer patient. An experienced radiation oncologist lectured about delineation based on contouring atlas and delineation recommendations. After the course, the radiation oncologists, blinded to the previous delineation, provided delineation for the same patient. RESULTS The difference between delineated volumes and reference volumes for pre- and post-course clinical target volume (CTV) were 19.8% (-42.4 to 70.6%) and 12.3% (-12.0 to 27.3%) (p = 0.26), respectively. The planning target volume (PTV) differences pre- and post-course according to the reference volume were 20.5% (-40.7 to 93.7%) and 13.1% (-10.6 to 29.5%) (p = 0.30), respectively. The concordance volumes between the pre- and post-course CTVs and PTVs were 467.1 ± 89.2 vs 597.7 ± 54.6 cm3 (p < 0.001) and 738.6 ± 135.1 vs 893.2 ± 144.6 cm3 (p < 0.001), respectively. Minimum and maximum observer variations were seen at the cranial part and splenic hilus and at the caudal part of the CTV. The kappa indices compared with the reference contouring at pre- and post-course delineations were 0.68 and 0.82, respectively. CONCLUSION The delineation course improved interobserver variability for gastric cancer. However, impact of target volume changes on toxicity and local control should be evaluated for further studies. Advances in knowledge: This study demonstrated that a delineation course based on current recommendations helped physicians delineate smaller and more homogeneous target volumes. Better target volume delineation allows proper target volume irradiation and preventing unnecessary normal tissue irradiation.
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Affiliation(s)
- Cem Onal
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Mustafa Cengiz
- Department of Radiation Oncology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Ozan C Guler
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Yemliha Dolek
- Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana, Turkey
| | - Serdar Ozkok
- Department of Radiation Oncology, Faculty of Medicine, Ege University, Izmir, Turkey
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Evaluating Target Volume Delineation in the Era of Precision Radiotherapy: FRCR, Revalidation and Beyond. Clin Oncol (R Coll Radiol) 2017; 29:436-438. [PMID: 28222956 DOI: 10.1016/j.clon.2017.01.045] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Revised: 01/23/2017] [Accepted: 01/24/2017] [Indexed: 11/22/2022]
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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: 239] [Impact Index Per Article: 26.6] [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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Bell LJ. Increasing consistency and accuracy in radiation therapy via educational interventions is not just limited to radiation oncologists. J Med Radiat Sci 2016; 63:145-7. [PMID: 27648277 PMCID: PMC5016613 DOI: 10.1002/jmrs.182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
This editorial is advocating that increasing consistency and accuracy in radiation therapy via educational interventions is important for radiation therapist. Education and training with ongoing refreshers is the key to maintaining consistency throughout the radiotherapy process, which in turn will ensure all patients receive accurate treatment.![]()
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Affiliation(s)
- Linda J Bell
- Department of Radiation Oncology Northern Sydney Cancer Centre Royal North Shore Hospital St Leonards New South Wales Australia
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Holliday E, Fuller CD, Kalpathy-Cramer J, Gomez D, Rimner A, Li Y, Senan S, Wilson LD, Choi J, Komaki R, Thomas CR. Quantitative assessment of target delineation variability for thymic cancers: Agreement evaluation of a prospective segmentation challenge. JOURNAL OF RADIATION ONCOLOGY 2016; 5:55-61. [PMID: 27570583 DOI: 10.1007/s13566-015-0230-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES We sought to quantitatively determine the inter-observer variability of expert radiotherapy target-volume delineation for thymic cancers, as part of a larger effort to develop an expert-consensus contouring atlas. METHODS A pilot dataset was created consisting of a standardized case presentation with pre- and post-operative DICOM CT image sets from a single patient with Masaoka-Koga Stage III thymoma. Expert thoracic radiation oncologists delineated tumor targets on the pre- and post-operative scans as they would for a definitive and adjuvant case, respectively. Respondents completed a survey including recommended dose prescription and target volume margins for definitive and post-operative scenarios. Inter-observer variability was analyzed quantitatively with Warfield's simultaneous truth, performance level estimation (STAPLE) algorithm and Dice similarity coefficient (DSC). RESULTS Seven users completed contouring for definitive and adjuvant cases; of these, 5 completed online surveys. Segmentation performance was assessed, with high mean±SD STAPLE-estimated segmentation sensitivity for definitive case GTV and CTV at 0.77 and 0.80, respectively, and post-operative CTV sensitivity of 0.55; all volumes had specificity of ≥0.99. Inter-observer agreement was markedly higher for the definitive target volumes, with mean±SD DSC of 0.88±0.03 and 0.89±0.04 for GTV and CTV respectively, compared to post-op CTV DSC of 0.69±0.06 (Kruskal-Wallis p<0.01. CONCLUSION Expert agreement for definitive case volumes was exceptionally high, though significantly lower agreement was noted post-operatively. Technique and dose prescription between experts was substantively consistent, and these preliminary results will be utilized to create an expert-consensus contouring atlas to aid the non-expert radiation oncologist in the planning of these challenging, rare tumors.
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Affiliation(s)
- Emma Holliday
- Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Clifton D Fuller
- Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Daniel Gomez
- Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Andreas Rimner
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ying Li
- Department of Radiation Oncology, The University of Texas Health Science Center San Antonio, San Antonio, TX
| | - Suresh Senan
- Department of Radiation Oncology, University Medical Center, Amsterdam, The Netherlands
| | - Lynn D Wilson
- Department of Therapeutic Radiology, Yale Cancer Center, New Haven, CT
| | - Jehee Choi
- Department of Radiation Oncology, Kaiser Permanente Southern California, Los Angeles, CA
| | - Ritsuko Komaki
- Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Charles R Thomas
- Department of Radiation Medicine, Oregon Health and Science University Knight Cancer Center, Portland, OR
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Valentini V, Gambacorta MA, Barbaro B, Chiloiro G, Coco C, Das P, Fanfani F, Joye I, Kachnic L, Maingon P, Marijnen C, Ngan S, Haustermans K. International consensus guidelines on Clinical Target Volume delineation in rectal cancer. Radiother Oncol 2016; 120:195-201. [PMID: 27528121 DOI: 10.1016/j.radonc.2016.07.017] [Citation(s) in RCA: 148] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 07/07/2016] [Accepted: 07/23/2016] [Indexed: 02/08/2023]
Abstract
INTRODUCTION The delineation of Clinical Target Volume (CTV) is a critical step in radiotherapy. Several guidelines suggest different subvolumes and anatomical boundaries in rectal cancer (RC), potentially leading to a misunderstanding in the CTV definition. International consensus guidelines (CG) are needed to improve uniformity in RC CTV delineation. MATERIAL AND METHODS The 7 radiation oncologist experts defined a roadmap to produce RC CG. Step 1: revision of the published guidelines. Step 2: selection of RC cases with different clinical stages. Step 3: delineation of cases using Falcon following previously published guidelines. Step 4: meeting in person to discuss the initial delineation outcome, followed by a CTV proposal based on revised and if needed, adapted anatomical boundaries. Step 5: peer review of the agreed consensus. Step 6: peer review meeting to validate the final outcome. Step 7: completion of RC delineation atlases. RESULTS A new ontology of structure sets was defined and the related table of anatomical boundaries was generated. The major modifications were about the lateral lymph nodes and the ischio-rectal fossa delineation. Seven RC cases were made available online as consultation atlases. CONCLUSION The definition of international CG for RC delineation endorsed by international experts might support a future homogeneous comparison between clinical trial outcomes.
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Affiliation(s)
- Vincenzo Valentini
- Università Cattolica del Sacro Cuore, Radiation Oncology Department, Rome, Italy.
| | | | - Brunella Barbaro
- Università Cattolica del Sacro Cuore, Department of Radiological Sciences, Rome, Italy.
| | - Giuditta Chiloiro
- Università Cattolica del Sacro Cuore, Radiation Oncology Department, Rome, Italy.
| | - Claudio Coco
- Università Cattolica del Sacro Cuore, Department of Surgical Science, Rome, Italy.
| | - Prajnan Das
- University of Texas MD Anderson Cancer Center, Department of Radiation Oncology, Houston, USA.
| | - Francesco Fanfani
- University G. D'Annunzio, Gynecologic Oncology Department of Medicine and Aging Sciences, Chieti, Italy.
| | - Ines Joye
- KU Leuven - University of Leuven, Department of Oncology and University Hospitals Leuven, Radiation Oncology, Belgium.
| | - Lisa Kachnic
- Boston Medical Center, Department of Radiation Oncology, USA.
| | - Philippe Maingon
- Centre Georges-François Leclerc, Department of Radiation Oncology, Dijon, France.
| | - Corrie Marijnen
- Leiden University Medical Center, Department of Radiation Oncology, The Netherlands.
| | - Samuel Ngan
- Peter MacCallum Cancer Centre, Division of Radiation Oncology and Cancer Imaging, Melbourne, Australia.
| | - Karin Haustermans
- KU Leuven - University of Leuven, Department of Oncology and University Hospitals Leuven, Radiation Oncology, Belgium.
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Joye I, Macq G, Vaes E, Roels S, Lambrecht M, Pelgrims A, Bussels B, Vancleef A, Stellamans K, Scalliet P, Weytjens R, Christian N, Boulanger AS, Donnay L, Van Brussel S, Moretti L, Van den Bergh L, Van Eycken E, Debucquoy A, Haustermans K. Do refined consensus guidelines improve the uniformity of clinical target volume delineation for rectal cancer? Results of a national review project. Radiother Oncol 2016; 120:202-6. [DOI: 10.1016/j.radonc.2016.06.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 06/06/2016] [Accepted: 06/13/2016] [Indexed: 12/22/2022]
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Technological advances in radiotherapy of rectal cancer: opportunities and challenges. Curr Opin Oncol 2016; 28:353-8. [DOI: 10.1097/cco.0000000000000306] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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Vinod SK, Min M, Jameson MG, Holloway LC. A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology. J Med Imaging Radiat Oncol 2016; 60:393-406. [DOI: 10.1111/1754-9485.12462] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 03/16/2016] [Indexed: 12/25/2022]
Affiliation(s)
- Shalini K Vinod
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
- Western Sydney University; Sydney New South Wales Australia
| | - Myo Min
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
| | - Michael G Jameson
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool Hospital; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
| | - Lois C Holloway
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
- Western Sydney University; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool Hospital; Liverpool New South Wales Australia
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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: 97] [Impact Index Per Article: 10.8] [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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Jameson MG, McNamara J, Bailey M, Metcalfe PE, Holloway LC, Foo K, Do V, Mileshkin L, Creutzberg CL, Khaw P. Results of the Australasian (Trans-Tasman Oncology Group) radiotherapy benchmarking exercise in preparation for participation in the PORTEC-3 trial. J Med Imaging Radiat Oncol 2016; 60:554-9. [PMID: 27059658 DOI: 10.1111/1754-9485.12447] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2015] [Accepted: 02/19/2016] [Indexed: 11/27/2022]
Abstract
INTRODUCTION Protocol deviations in Randomised Controlled Trials have been found to result in a significant decrease in survival and local control. In some cases, the magnitude of the detrimental effect can be larger than the anticipated benefits of the interventions involved. The implementation of appropriate quality assurance of radiotherapy measures for clinical trials has been found to result in fewer deviations from protocol. This paper reports on a benchmarking study conducted in preparation for the PORTEC-3 trial in Australasia. METHODS A benchmarking CT dataset was sent to each of the Australasian investigators, it was requested they contour and plan the case according to trial protocol using local treatment planning systems. These data was then sent back to Trans-Tasman Oncology Group for collation and analysis. RESULTS Thirty three investigators from eighteen institutions across Australia and New Zealand took part in the study. The mean clinical target volume (CTV) volume was 383.4 (228.5-497.8) cm(3) and the mean dose to a reference gold standard CTV was 48.8 (46.4-50.3) Gy. CONCLUSIONS Although there were some large differences in the contouring of the CTV and its constituent parts, these did not translate into large variations in dosimetry. Where individual investigators had deviations from the trial contouring protocol, feedback was provided. The results of this study will be used to compare with the international study QA for the PORTEC-3 trial.
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Affiliation(s)
- Michael G Jameson
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.,Liverpool Cancer Therapy Centre, Liverpool, New South Wales, Australia.,Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Jo McNamara
- Illawarra Shoalhaven Cancer & Haematology Network, Illawarra, New South Wales, Australia
| | - Michael Bailey
- Illawarra Shoalhaven Cancer & Haematology Network, Illawarra, New South Wales, Australia
| | - Peter E Metcalfe
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.,Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Lois C Holloway
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.,Liverpool Cancer Therapy Centre, Liverpool, New South Wales, Australia.,Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia.,School of Physics, University of Sydney, Sydney, New South Wales, Australia
| | - Kerwyn Foo
- School of Physics, University of Sydney, Sydney, New South Wales, Australia.,Chris O'Brien Lifehouse, Sydney, New South Wales, Australia.,Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia
| | - Viet Do
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia.,Sydney Medical School, University of Sydney, Sydney, New South Wales, Australia.,Crown Princess Mary Cancer Centre Westmead, Sydney, New South Wales, Australia
| | - Linda Mileshkin
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,University of Melbourne, Melbourne, Victoria, Australia.,Australia New Zealand Gynaecological Oncology Group (ANZGOG), Camperdown, New South Wales, Australia
| | - Carien L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Pearly Khaw
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,University of Melbourne, Melbourne, Victoria, Australia.,Australia New Zealand Gynaecological Oncology Group (ANZGOG), Camperdown, New South Wales, Australia
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Blackham AU, Yue B, Almhanna K, Saeed N, Fontaine JP, Hoffe S, Shridhar R, Frakes J, Coppola D, Pimiento JM. The prognostic value of residual nodal disease following neoadjuvant chemoradiation for esophageal cancer in patients with complete primary tumor response. J Surg Oncol 2015; 112:597-602. [DOI: 10.1002/jso.24050] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 09/05/2015] [Indexed: 12/22/2022]
Affiliation(s)
- Aaron U. Blackham
- Department of Gastrointestinal Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Binglin Yue
- Department of Biostatistics; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Khaldoun Almhanna
- Department of Gastrointestinal Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Nadia Saeed
- Department of Gastrointestinal Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Jacques P. Fontaine
- Department of Gastrointestinal Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Sarah Hoffe
- Department of Radiation Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Ravi Shridhar
- Department of Radiation Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Jessica Frakes
- Department of Radiation Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Domenico Coppola
- Department of Anatomic Pathology; Moffitt Cancer Center and Research Institute; Tampa Florida
- Department of Tumor Biology; Moffitt Cancer Center and Research Institute; Tampa Florida
- Program of Chemical Biology & Molecular Medicine; Moffitt Cancer Center and Research Institute; Tampa Florida
| | - Jose M. Pimiento
- Department of Gastrointestinal Oncology; Moffitt Cancer Center and Research Institute; Tampa Florida
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50
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Wu AJ, Bosch WR, Chang DT, Hong TS, Jabbour SK, Kleinberg LR, Mamon HJ, Thomas CR, Goodman KA. Expert Consensus Contouring Guidelines for Intensity Modulated Radiation Therapy in Esophageal and Gastroesophageal Junction Cancer. Int J Radiat Oncol Biol Phys 2015; 92:911-20. [PMID: 26104943 DOI: 10.1016/j.ijrobp.2015.03.030] [Citation(s) in RCA: 102] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2014] [Revised: 03/24/2015] [Accepted: 03/26/2015] [Indexed: 12/21/2022]
Abstract
PURPOSE/OBJECTIVE(S) Current guidelines for esophageal cancer contouring are derived from traditional 2-dimensional fields based on bony landmarks, and they do not provide sufficient anatomic detail to ensure consistent contouring for more conformal radiation therapy techniques such as intensity modulated radiation therapy (IMRT). Therefore, we convened an expert panel with the specific aim to derive contouring guidelines and generate an atlas for the clinical target volume (CTV) in esophageal or gastroesophageal junction (GEJ) cancer. METHODS AND MATERIALS Eight expert academically based gastrointestinal radiation oncologists participated. Three sample cases were chosen: a GEJ cancer, a distal esophageal cancer, and a mid-upper esophageal cancer. Uniform computed tomographic (CT) simulation datasets and accompanying diagnostic positron emission tomographic/CT images were distributed to each expert, and the expert was instructed to generate gross tumor volume (GTV) and CTV contours for each case. All contours were aggregated and subjected to quantitative analysis to assess the degree of concordance between experts and to generate draft consensus contours. The panel then refined these contours to generate the contouring atlas. RESULTS The κ statistics indicated substantial agreement between panelists for each of the 3 test cases. A consensus CTV atlas was generated for the 3 test cases, each representing common anatomic presentations of esophageal cancer. The panel agreed on guidelines and principles to facilitate the generalizability of the atlas to individual cases. CONCLUSIONS This expert panel successfully reached agreement on contouring guidelines for esophageal and GEJ IMRT and generated a reference CTV atlas. This atlas will serve as a reference for IMRT contours for clinical practice and prospective trial design. Subsequent patterns of failure analyses of clinical datasets using these guidelines may require modification in the future.
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Affiliation(s)
- Abraham J Wu
- Memorial Sloan-Kettering Cancer Center, New York, New York.
| | | | | | | | - Salma K Jabbour
- Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | | | | | - Charles R Thomas
- Knight Cancer Institute, Oregon Health & Sciences University, Portland, Oregon
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