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Open AccessArticle
Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues
by
Barbara Marquez
Barbara Marquez
,
Zachary T. Wooten
Zachary T. Wooten
Ramon M. Salazar
Ramon M. Salazar
Christine B. Peterson
Christine B. Peterson
Christine Peterson received a Ph.D. degree from
Rice University in 2013. From 2014 to 2016, she was [...]
Christine Peterson received a Ph.D. degree from
Rice University in 2013. From 2014 to 2016, she was a Postdoctoral Scholar in
Biomedical Data Science at Stanford University. She has been employed at the
University of Texas MD Anderson Cancer Center since 2016, where she became an
Associate professor in 2022. She works on statistical methods for understanding
multivariate biological data, with the ultimate goal of unlocking the potential
of big data to improve human health. Major themes in her research include the
development of statistical methods for the inference of biological networks and
for the analysis of microbiome data.
David T. Fuentes
David T. Fuentes
David Fuentes is currently an Associate Professor
at the Department of Imaging Physics, Division of [...]
David Fuentes is currently an Associate Professor
at the Department of Imaging Physics, Division of Diagnostic Imaging, The
University of Texas MD Anderson Cancer Center, USA. He has a strong
interdisciplinary background in applied mathematics, imaging physics,
engineering, scientific computation, and mathematical modeling of physics-based
phenomena. He received Master’s (2005) and Ph.D. (2008) degrees at the
University of Texas at Austin. He obtained a CAM Fellowship from the University
of Texas at Austin in 2003. He has been involved with multi-disciplinary teams
of engineers, imaging physicists, computational scientists, applied
mathematicians, interventionists, and industry collaborators in 20+
peer-reviewed publications relating to image guided research.
T. J. Whitaker
T. J. Whitaker
Thomas J. Whitaker is currently an Assistant
Professor at the Department of Radiation Care, The of [...]
Thomas J. Whitaker is currently an Assistant
Professor at the Department of Radiation Physics—Patient Care, Division of
Radiation Oncology, The University of Texas MD Anderson Cancer Center, USA. He
received Master’s and Ph.D. degrees from Indiana University. In 2006, he served
as a Resident at the Department of Radiation Oncology, Indiana University
School of Medicine. He obtained the NIH Funded Fellowship and had a
Postgraduate Training at University of Minnesota in 2015. He is a member of the
Radiation Oncology Clinical Research Council, the Radiation Oncology
Nomenclature Committee, and the ROSI Faculty Seed Award Review Committee.
Anuja Jhingran
Anuja Jhingran
Anuja Jhingran earned her M.D. at Texas Tech
University in 1988, followed by residency training at [...]
Anuja Jhingran earned her M.D. at Texas Tech
University in 1988, followed by residency training at Baylor College of
Medicine in Internal Medicine and Radiation Oncology. She began her career as
an Assistant Professor at The University of Texas MD Anderson Cancer Center in
1996 and has grown and advanced to Professor of Radiation Oncology in the
Section of Gynecology. She is a physician specializing in the treatment of
gynecologic cancers. Clinically, she is interested in the management of
advanced ovarian, cervical, and endometrial cancers and the use of advanced
radiation techniques to minimize toxicity. In addition, she is heavily involved
with the Radiation Therapy Oncology Group (RTOG) and Gynecologic Oncology Group
(GOG), in the development of patient care studies to treat gynecologic cancers
and has been the national Principal Investigator of several studies, including
a phase III study in cervical cancer. She is also an active member of the
Gynecologic Cancer InterGroup. She was elected to a Fellow of the American
Society for Therapeutic Radiation Oncology (ASTRO) in 2020. She travels
extensively internationally for cancer education. She is passionate about women’s
health issues and especially as it relates to developing country's efforts to
establish improved healthcare for the general populace, not just the
financially able.
Julianne Pollard-Larkin
Julianne Pollard-Larkin
Julianne Pollard-Larkin is currently a Physics
Section Chief of Thoracic Service, Department of of [...]
Julianne Pollard-Larkin is currently a Physics
Section Chief of Thoracic Service, Department of Radiation Physics—Patient
Care, Division of Radiation Oncology, The University of Texas MD Anderson
Cancer Center, USA. She obtained Master’s (2007) and Ph.D. (2008) degrees from
the University of California. From 2008 to 2014, she received postgraduate
training at the University of Texas MD Anderson Cancer Center. She is a member
of the American Association for Women Radiologists, the Association of Black Radiation
Oncologists, and the American Society for Radiation Oncology.
Surendra Prajapati
Surendra Prajapati
Beth Beadle
Beth Beadle
Beth Beadle is currently a Professor at the
Department of Radiation Oncology—Radiation Therapy, a [...]
Beth Beadle is currently a Professor at the
Department of Radiation Oncology—Radiation Therapy, Stanford University, USA.
She has been Director of Head and Neck Radiation Oncology at Stanford
University since 2017. She is also a member of the Maternal & Child Health
Research Institute (MCHRI), the Stanford Cancer Institute, and the Wu Tsai
Neurosciences Institute. She obtained an MD degree from Northwestern University
Feinberg School of Medicine in 2004. In 2011, she received Board Certification
from the American Board of Radiology (ABR). She was awarded the AAWR Research
and Education Foundation Professional Leadership Award from the American
Association for Women Radiologists (2012), and the Sarah Donaldson Mentorship
Award from Stanford University (2021).
Carlos E. Cardenas
Carlos E. Cardenas
Dr. Carlos Cardenas is an Assistant Professor at the Department
of Radiation Oncology, The of AL, a [...]
Dr. Carlos Cardenas is an Assistant Professor at the Department
of Radiation Oncology, The University of Alabama, Birmingham, AL, USA. He received
his Bachelor’s degree from the University of Alabama at Huntsville in 2009, a Master’s
degree from East Carolina University in 2014 and a Ph.D. degree from UT MD
Anderson Cancer Center in 2018. His main research focuses on machine learning
algorithms to automate tasks in treatment planning, and the application of
image analysis for the creation of models to predict toxicities & patient
outcomes.
Tucker J. Netherton
Tucker J. Netherton
Tucker Netherton is currently an Assistant
Professor at the Department of Radiation Physics, of The [...]
Tucker Netherton is currently an Assistant
Professor at the Department of Radiation Physics, Division of Radiation
Oncology, The University of Texas MD Anderson Cancer Center, USA. He completed
his Ph.D. studies at the University of Texas MD Anderson Cancer Center Graduate
School of Biomedical Sciences in 2021. He has been Radiation Physics Faculty
Research Laision, The Clinical Research Council since 2021. He is a member of
the Radiation Physics Automation Committee. He is a member of the American Association
of Physicists in Medicine, the Society for Imaging Informatics in Medicine, and
the Medical Image Computing and Computer Assisted Intervention Society.
Laurence E. Court
Laurence E. Court
1
Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
2
The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX 77030, USA
3
Department of Statistics, Rice University, Houston, TX 77005, USA
4
Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
5
Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
6
Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
7
Department of Radiation Oncology–Radiation Therapy, Stanford University, Stanford, CA 94305, USA
8
Department of Radiation Oncology, The University of Alabama, Birmingham, AL 35294, USA
*
Author to whom correspondence should be addressed.
Diagnostics 2024, 14(15), 1632; https://doi.org/10.3390/diagnostics14151632 (registering DOI)
Submission received: 12 June 2024
/
Revised: 18 July 2024
/
Accepted: 19 July 2024
/
Published: 29 July 2024
Abstract
This study aimed to determine the relationship between geometric and dosimetric agreement metrics in head and neck (H&N) cancer radiotherapy plans. A total 287 plans were retrospectively analyzed, comparing auto-contoured and clinically used contours using a Dice similarity coefficient (DSC), surface DSC (sDSC), and Hausdorff distance (HD). Organs-at-risk (OARs) with ≥200 cGy dose differences from the clinical contour in terms of Dmax (D0.01cc) and Dmean were further examined against proximity to the planning target volume (PTV). A secondary set of 91 plans from multiple institutions validated these findings. For 4995 contour pairs across 19 OARs, 90% had a DSC, sDSC, and HD of at least 0.75, 0.86, and less than 7.65 mm, respectively. Dosimetrically, the absolute difference between the two contour sets was <200 cGy for 95% of OARs in terms of Dmax and 96% in terms of Dmean. In total, 97% of OARs exhibiting significant dose differences between the clinically edited contour and auto-contour were within 2.5 cm PTV regardless of geometric agreement. There was an approximately linear trend between geometric agreement and identifying at least 200 cGy dose differences, with higher geometric agreement corresponding to a lower fraction of cases being identified. Analysis of the secondary dataset validated these findings. Geometric indices are approximate indicators of contour quality and identify contours exhibiting significant dosimetric discordance. For a small subset of OARs within 2.5cm of the PTV, geometric agreement metrics can be misleading in terms of contour quality.
Share and Cite
MDPI and ACS Style
Marquez, B.; Wooten, Z.T.; Salazar, R.M.; Peterson, C.B.; Fuentes, D.T.; Whitaker, T.J.; Jhingran, A.; Pollard-Larkin, J.; Prajapati, S.; Beadle, B.;
et al. Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues. Diagnostics 2024, 14, 1632.
https://doi.org/10.3390/diagnostics14151632
AMA Style
Marquez B, Wooten ZT, Salazar RM, Peterson CB, Fuentes DT, Whitaker TJ, Jhingran A, Pollard-Larkin J, Prajapati S, Beadle B,
et al. Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues. Diagnostics. 2024; 14(15):1632.
https://doi.org/10.3390/diagnostics14151632
Chicago/Turabian Style
Marquez, Barbara, Zachary T. Wooten, Ramon M. Salazar, Christine B. Peterson, David T. Fuentes, T. J. Whitaker, Anuja Jhingran, Julianne Pollard-Larkin, Surendra Prajapati, Beth Beadle,
and et al. 2024. "Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues" Diagnostics 14, no. 15: 1632.
https://doi.org/10.3390/diagnostics14151632
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