Dynamic FDG PET/CT for differentiating focal pelvic uptake in patients with gynecological cancer

This study aimed to evaluate the ability of serial whole-body dynamic PET/CT to differentiate physiological from abnormal <sup>18</sup>F-FDG uptake in the abdomen and pelvis of gynecological cancer patients. We conducted a retrospective study of 61 <sup>18</sup>F-FDG PET/CT examinations for suspected gynecological malignancies or metastases between March 2018 and January 2020. Our protocol included four-phase dynamic whole-body scans. High-uptake foci with SUVmax > 2.5 in the abdominopelvic region caudal to the renal portal were picked up and visually evaluated as "changed" (disappeared during any phase or morphological changes in more than half of the foci) or "unchanged" in motion on the serial dynamic images. Focal <sup>18</sup>F-FDG uptake was observed in 84 foci. Of the 58 foci determined pathologically or clinically to have pathological uptake, no change was observed on serial dynamic imaging in 54 foci (sensitivity, 93%). Of the 26 foci of physiological uptake, temporal changes in uptake were observed in 20 foci using dynamic imaging (specificity, 77%). The positive and negative predictive values were 90% and 83%, respectively, with an accuracy of 88%. Dynamic whole-body <sup>18</sup>F-FDG PET/CT imaging allows for differentiation between pathological and physiological uptake in the abdominopelvic region of patients with gynecological cancer.

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Publication Details

Journal
Scientific Reports
Published
2024-11-27
DOI
https://doi.org/10.1038/s41598-024-81236-x
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.81

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article

Dynamic FDG PET/CT for differentiating focal pelvic uptake in patients with gynecological cancer

Yasuchiyo Toyama, Takeshi Nii, Nagara Tamaki, Yoshitomo Nakai et al.
2 citations
Scientific Reports
Radiomics and Machine Learning in Medical Imaging
0.81
article

Dynamic FDG PET/CT for differentiating focal pelvic uptake in patients with gynecological cancer

Yasuchiyo Toyama, Takeshi Nii, Nagara Tamaki, Yoshitomo Nakai, Tomoya Kotani, Motoki Nishimura, Kei Yamada, Yasunori Nakamura, Sachimi Yamada
article en
2 citations

Abstract

This study aimed to evaluate the ability of serial whole-body dynamic PET/CT to differentiate physiological from abnormal <sup>18</sup>F-FDG uptake in the abdomen and pelvis of gynecological cancer patients. We conducted a retrospective study of 61 <sup>18</sup>F-FDG PET/CT examinations for suspected gynecological malignancies or metastases between March 2018 and January 2020. Our protocol included four-phase dynamic whole-body scans. High-uptake foci with SUVmax > 2.5 in the abdominopelvic region caudal to the renal portal were picked up and visually evaluated as "changed" (disappeared during any phase or morphological changes in more than half of the foci) or "unchanged" in motion on the serial dynamic images. Focal <sup>18</sup>F-FDG uptake was observed in 84 foci. Of the 58 foci determined pathologically or clinically to have pathological uptake, no change was observed on serial dynamic imaging in 54 foci (sensitivity, 93%). Of the 26 foci of physiological uptake, temporal changes in uptake were observed in 20 foci using dynamic imaging (specificity, 77%). The positive and negative predictive values were 90% and 83%, respectively, with an accuracy of 88%. Dynamic whole-body <sup>18</sup>F-FDG PET/CT imaging allows for differentiation between pathological and physiological uptake in the abdominopelvic region of patients with gynecological cancer.

Scientific ReportsVol. 14(1)
Kyoto Prefectural University of Medicine (JP), Kyoto College of Medical Science (JP), University Hospital Kyoto Prefectural University of Medicine (JP), Nantan General Hospital (JP), Japanese Red Cross Society Kyoto Daini Hospital (JP)
Nihon Medi-Physics, Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 24%
Radiomics and Machine Learning in Medical Imaging
0.81
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