Journal article
Multicenter Study of Pelvic Nodal Autosegmentation Algorithm of Siemens Healthineers: Comparison of Male Versus Female Pelvis
Advances in radiation oncology, v 9(2), 101326
01 Feb 2024
PMID: 38405314
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Purpose: The autosegmentation algorithm of Siemens Healthineers version VA 30 (AASH) (Siemens Healthineers, Erlangen, Germany) was trained and developed in the male pelvis, with no published data on its usability in the female pelvis. This is the first multiinstitutional study to describe and evaluate an artificial intelligence algorithm for autosegmentation of the pelvic nodal region by gender. Methods and Materials: We retrospectively evaluated AASH pelvic nodal autosegmentation in both male and female patients treated at our network of institutions. The automated pelvic nodal contours generated by AASH were evaluated by 1 board -certified radiation oncologist. A 4 -point scale was used for each nodal region contour: a score of 4 is clinically usable with minimal edits; a score of 3 requires minor edits (missing nodal contour region, cutting through vessels, or including bowel loops) in 3 or fewer computed tomography slices; a score of 2 requires major edits, as previously defined but in 4 or more computed tomography slices; and a score of 1 requires complete recontouring of the region. Pelvic nodal regions included the right and left side of the common iliac, external iliac, internal iliac, obturator, and midline presacral nodes. In addition, patients were graded based on their lowest nodal contour score. Statistical analysis was performed using Fisher exact tests and Yates -corrected x2 tests. Results: Fifty-two female and 51 male patients were included in the study, representing a total of 468 and 447 pelvic nodal regions, respectively. Ninety-six percent and 99% of contours required minor edits at most (score of 3 or 4) for female and male patients, respectively (P = .004 using Fisher exact test; P = .007 using Yates correction). No nodal regions had a statistically significant difference in scores between female and male patients. The percentage of patients requiring no more than minor edits was 87% (45 patients) and 92% (47 patients) for female and male patients, respectively (P = .53 using Fisher exact test; P = .55 using Yates correction). Conclusions: AASH pelvic nodal autosegmentation performed very well in both male and female pelvic nodal regions, although with better male pelvic nodal autosegmentation. As autosegmentation becomes more widespread, it may be important to have equal representation from all sexes in training and validation of autosegmentation algorithms. (c) 2023 The Author(s). Published by Elsevier Inc. on behalf of American Society for Radiation Oncology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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Details
- Title
- Multicenter Study of Pelvic Nodal Autosegmentation Algorithm of Siemens Healthineers: Comparison of Male Versus Female Pelvis
- Creators
- Kareem Rayn - Columbia University Irving Medical CenterGarima Gokhroo - Amer Oncol Inst, Hyderabad, CA, IndiaBrian Jeffers - Columbia UniversityVibhor Gupta - Amer Oncol Inst, Hyderabad, CA, IndiaSuresh Chaudhari - Amer Oncol Inst, Hyderabad, CA, IndiaRyan Clark - Varian Medical SystemsAnthony Magliari - Varian Medical SystemsSushil Beriwal - Varian Medical Systems
- Publication Details
- Advances in radiation oncology, v 9(2), 101326
- Publisher
- Elsevier
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Web of Science ID
- WOS:001185592500001
- Scopus ID
- 2-s2.0-85168512186
- Other Identifier
- 991021897279304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Oncology
- Radiology, Nuclear Medicine & Medical Imaging