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Lui K, Morin A, Smith M, Yee G, Bolderston A, Middleton JM, Wu T, Dixon W. Current Alberta radiation therapy care practices for patients with obesity and recommendations for improvement. J Med Imaging Radiat Sci 2025; 56:101768. [PMID: 39427382 DOI: 10.1016/j.jmir.2024.101768] [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: 07/04/2024] [Revised: 08/30/2024] [Accepted: 09/06/2024] [Indexed: 10/22/2024]
Abstract
INTRODUCTION Obesity has been associated with increased incidence of cancer thereby impacting the number of patients with obesity who may require radiation therapy (RT) treatment. Previous studies have detailed the impacts of obesity on RT treatment delivery including considerations when positioning, imaging, and communicating with patients. However, there is limited literature regarding best clinical practices used by Canadian RT departments when treating patients with obesity. This study aimed to answer the following question: How can the current standards of care (SOC) used by Alberta RT departments be improved to ensure safe and quality care of patients with obesity? METHODS Semi-structured interviews were conducted with 19 practitioners including three RT managers, two medical physicists, two clinical educators, two radiation oncologists, a senior practice lead, and nine radiation therapists from five cancer centers across Alberta. Interviews were transcribed and analyzed independently by two researchers and used to inform recommendations for improvement to existing care practices. RESULTS Four themes emerged as unique considerations for patients with obesity undergoing RT, which included technical factors, interpersonal interactions, patient care factors, and education and training. Recommendations to improve the current SOC in Alberta RT departments included the need for longer appointment times, sufficient staff, accessible mobility equipment, and additional education and training for HCPs tailored towards patients with obesity. CONCLUSION SOC in Alberta could be improved for patients with obesity with modified appointment time, increased staff and resources, and more in depth and tailored education. Implementation of these considerations and recommendations for improvement to the current SOC used by Alberta RT departments has the potential to ensure safe and quality care of patients with obesity.
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Affiliation(s)
- Kerry Lui
- Department of Radiation Therapy, Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Alyssa Morin
- Department of Radiation Therapy, Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Mackenzie Smith
- Department of Radiation Therapy, Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Graydon Yee
- Department of Radiation Therapy, Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Amanda Bolderston
- Radiation Therapy Program, Department of Oncology, University of Alberta, Edmonton, Canada
| | - Jacqueline M Middleton
- Radiation Therapy Program, Department of Oncology, University of Alberta, Edmonton, Canada
| | - Tina Wu
- Department of Radiation Therapy, Tom Baker Cancer Center, Calgary, Alberta, Canada
| | - Winter Dixon
- Quality, Safety & Practice Integration, Cancer Care Alberta - Alberta Health Services, Edmonton, Alberta, Canada.
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Fields EC, Bosch WR, Albuquerque KV, Bhatia R, Chino J, Dyer B, Erickson B, Fabian D, Gaffney D, Glaser S, Han K, Hathout L, Hsu IC, Jegadeesh N, Kahn J, Kidd E, Klopp A, Leung E, Lin L, Ludwig M, Ma T, Mell L, Mayadev J, Petersen I, Portelance L, Rash D, Taunk N, Viswanathan A, Wolfson A, Yashar C, Yeung A, Yoshida E, Fisher CM. Consensus Guidelines for Delineation of Clinical Target Volumes for Intensity Modulated Radiation Therapy for Intact Cervical Cancer: An Update. Pract Radiat Oncol 2024:S1879-8500(24)00305-9. [PMID: 39547646 DOI: 10.1016/j.prro.2024.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 10/18/2024] [Accepted: 11/02/2024] [Indexed: 11/17/2024]
Abstract
PURPOSE Accurate target delineation is essential when using intensity modulated radiation therapy for intact cervical cancer. In 2011, the Radiation Therapy Oncology Group published a consensus guideline using magnetic resonance imaging (MRI). The current project expands on the previous atlas by including computed tomography (CT)-based contours, contours with MRI and positron emission tomography (PET) registrations, the addition of common and complex scenarios, and incorporating information on simulation and treatment planning techniques. METHODS AND MATERIALS Twenty-eight experts in gynecologic radiation oncology contoured 3 cases, first on a noncontrast CT simulation scan and then with registered diagnostic scans. The cases included (1) International Federation of Gynecology and Obstetrics (FIGO) IIIC1 with a bulky tumor and vaginal metastasis, (2) FIGO IIB with calcified uterine fibromas, and (3) FIGO IIIC2 with large lymph nodes. The contours on all 6 data sets (3 CT simulations without diagnostic images and 3 with registered images) were analyzed for consistency of delineation using an expectation-maximization algorithm for simultaneous truth and performance level estimation with kappa statistics as a measure of agreement. The contours were reviewed, discussed, and edited in a group meeting prior to finalizing. RESULTS Contours showed considerable agreement among experts in each of the cases, with kappa statistics from 0.67 to 0.72. For each case, diagnostic PET ± MRI was associated with an increase in volume. The largest increase was the clinical target volume (CTV) primary for case 2, with a 20% increase in volume and a 54% increase in simultaneous truth and performance level estimation volume, which may be due to variance in registration priorities. For the third case, 92.9% increased their CTVs based on the addition of the diagnostic PET scan. The main areas of variance were in determining the superior extent of CTV coverage, coverage of the mesorectum, and simulation and planning protocols. CONCLUSIONS This study shows the value and the challenges of using coregistered diagnostic imaging, with an average increase in volumes when incorporating MRI and PET.
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Affiliation(s)
- Emma C Fields
- Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia.
| | - Walter R Bosch
- Department of Radiation Oncology, Washington University, St. Louis, Missouri
| | - Kevin V Albuquerque
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas
| | - Rohini Bhatia
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins, Baltimore, Maryland
| | - Junzo Chino
- Department of Radiation Oncology, Duke University, Durham, North Carolina
| | - Brandon Dyer
- Department of Radiation Oncology, University of Washington, Seattle, Washington
| | - Beth Erickson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Denise Fabian
- Department of Radiation Oncology, University of Kentucky, Lexington, Kentucky
| | - David Gaffney
- Department of Radiation Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Scott Glaser
- Department of Radiation Oncology, City of Hope, Duarte, California
| | - Kathy Han
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lara Hathout
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - I-Chow Hsu
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Naresh Jegadeesh
- Department of Radiation Oncology, Cook County Health, Chicago, Illinois
| | - Jenna Kahn
- Department of Radiation Oncology, Kaiser Permanente NW Region, Portland, Oregon
| | - Elizabeth Kidd
- Department of Radiation Oncology, Stanford University, Palo Alto, California
| | - Ann Klopp
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Eric Leung
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Lilie Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michelle Ludwig
- Department of Radiation Oncology, Baylor College of Medicine, Houston, Texas
| | - Tianjun Ma
- Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia
| | - Loren Mell
- Department of Radiation Oncology, University of California San Diego, San Diego, California
| | - Jyoti Mayadev
- Department of Radiation Oncology, University of California San Diego, San Diego, California
| | - Ivy Petersen
- Department of Radiation Oncology, Mayo Clinic Comprehensive Cancer Center, Rochester, Minnesota
| | - Lorraine Portelance
- Department of Radiation Oncology, University of Miami Health System, Miami, Florida
| | - Dominique Rash
- Department of Radiation Oncology, University of California San Diego, San Diego, California
| | - Neil Taunk
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Akila Viswanathan
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins, Baltimore, Maryland
| | - Aaron Wolfson
- Department of Radiation Oncology, University of Miami Health System, Miami, Florida
| | - Catheryn Yashar
- Department of Radiation Oncology, University of California San Diego, San Diego, California
| | - Anamaria Yeung
- Department of Radiation Oncology, University of Florida, Gainesville, Florida
| | - Emi Yoshida
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Christine M Fisher
- Department of Radiation Oncology, University of Colorado, Aurora, Colorado
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Zhang W, Li X, Lin T, Ma F, Ma X, Wu X, Sun Y, Sun X. A model to guide the management and decision of re-planning during radiotherapy for cervical cancer. Transl Cancer Res 2021; 10:5352-5363. [PMID: 35116382 PMCID: PMC8797880 DOI: 10.21037/tcr-21-2545] [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: 10/20/2021] [Accepted: 12/17/2021] [Indexed: 12/24/2022]
Abstract
BACKGROUND To establish a model to predict whether re-planning is needed in the process of cervical cancer radiotherapy. METHODS We collected the clinical indexes of 132 patients diagnosed with cervical cancer receiving concurrent chemotherapy and radiotherapy, including 33 factors about tumor markers [carcinoembryonic antigen (CEA), cancer antigen 125 (CA-125), squamous cell carcinoma antigen (SCC)], tumor volume, rectal volume, bladder volume, volumes receiving 30-50 Gy in organs-at-risk (OARs), and the maximum dose (Dmax) received by 1-2 cc in OARs. We established a multivariate model for re-planning evaluation via principal component analysis, and then verified the model based on the internal data. RESULTS We identified the dose index (P1), tumor size index (P2), and volumes receiving 30-50 Gy in OARs and the tumor (P3) as the three most weighted factors of the re-planning model. We set the cut-off for the re-planning modification requirement at 1. The model was consistent with R = 0.12P1 + 0.21P2 + 0.31P3, and it performed accurately that area under the test set characteristics curve (AUC) =0.826]. CONCLUSIONS Our proposed method can help to reduce image re-examination during treatment, decrease toxicities in OARs, shorten the radiotherapy course, lessen oncologists' efforts, and save medical resources.
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Affiliation(s)
- Wei Zhang
- Department of Radiation Oncology, Affiliated People’s Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Xiuhua Li
- Department of Gynaecology, Fujian Cancer Hospital, The Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Tingting Lin
- Department of Radiation and Medical Oncology, Affiliated Sanming First Hospital of Fujian Medical University, Sanming, China
| | - Fang Ma
- Department of Radiation Oncology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Xiaoyu Ma
- Department of Radiation Oncology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Xiaoli Wu
- Department of Radiation Oncology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Yingming Sun
- Department of Radiation and Medical Oncology, Affiliated Sanming First Hospital of Fujian Medical University, Sanming, China
| | - Xiaoge Sun
- Department of Radiation Oncology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
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