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13.09.2017 | Original Article

Assessment of intratumor heterogeneity in mesenchymal uterine tumor by an ¹⁸F-FDG PET/CT texture analysis

verfasst von: Tetsuya Tsujikawa, Makoto Yamamoto, Kunihiro Shono, Shizuka Yamada, Hideaki Tsuyoshi, Yasushi Kiyono, Hirohiko Kimura, Hidehiko Okazawa, Yoshio Yoshida

Erschienen in: Annals of Nuclear Medicine | Ausgabe 10/2017

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Abstract

Objective

The aim of this study was to retrospectively evaluate the clinical significance of ¹⁸F-FDG PET/CT textural features for discriminating uterine sarcoma from leiomyoma.

Methods

Fifty-five patients with suspected uterine sarcoma based on ultrasound and MRI findings who underwent pretreatment ¹⁸F-FDG PET/CT were included. Fifteen patients were histopathologically proven to have uterine sarcoma, 14 patients by surgical operation and one by biopsy, and 40 patients were diagnosed with leiomyoma by surgical operation or in a follow-up for at least 2 years. A texture analysis was performed on PET/CT images from which second- and higher order textural features were extracted in addition to standardized uptake values (SUVs) and other first-order features. The accuracy of PET features for differentiating between uterine sarcoma and leiomyoma was evaluated using a receiver-operating-characteristic (ROC) analysis.

Results

The intratumor distribution of ¹⁸F-FDG was more heterogeneous in uterine sarcoma than in leiomyoma. Entropy, correlation, and uniformity calculated from normalized gray-level co-occurrence matrices and SUV standard deviation derived from histogram statistics showed greater area under the ROC curves (AUCs) than did maximum SUV for differentiating between sarcoma and leiomyoma. Entropy, as a single feature, yielded the greatest AUC of 0.974 and the optimal cut-off value of 2.85 for entropy provided 93% sensitivity, 90% specificity, and 92% accuracy. When combining conventional features with textural ones, maximum SUV (cutoff: 6.0) combined with entropy (2.85) and correlation (0.73) provided the best diagnostic performance (100% sensitivity, 94% specificity, and 95% accuracy).

Conclusions

In combination with the conventional histogram statistics and/or volumetric parameters, ¹⁸F-FDG PET/CT textural features reflecting intratumor metabolic heterogeneity are useful for differentiating between uterine sarcoma and leiomyoma.

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Titel: Assessment of intratumor heterogeneity in mesenchymal uterine tumor by an 18F-FDG PET/CT texture analysis
verfasst von: Tetsuya Tsujikawa
Makoto Yamamoto
Kunihiro Shono
Shizuka Yamada
Hideaki Tsuyoshi
Yasushi Kiyono
Hirohiko Kimura
Hidehiko Okazawa
Yoshio Yoshida
Publikationsdatum: 13.09.2017
Verlag: Springer Japan
Erschienen in: Annals of Nuclear Medicine / Ausgabe 10/2017
Print ISSN: 0914-7187
Elektronische ISSN: 1864-6433
DOI: https://doi.org/10.1007/s12149-017-1208-x

Springer Medizin

Abstract

Objective

Methods

Results

Conclusions

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