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13.09.2017 | Original Article | Ausgabe 10/2017

Annals of Nuclear Medicine 10/2017

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

Zeitschrift:
Annals of Nuclear Medicine > Ausgabe 10/2017
Autoren:
Tetsuya Tsujikawa, Makoto Yamamoto, Kunihiro Shono, Shizuka Yamada, Hideaki Tsuyoshi, Yasushi Kiyono, Hirohiko Kimura, Hidehiko Okazawa, Yoshio Yoshida
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1007/​s12149-017-1208-x) contains supplementary material, which is available to authorized users.

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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