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DOI 10.5578/tt.10809

Медицинская библиотека · Tuberkuloz ve toraks · 2018

The role of F-18 FDG PET/CT in differentiating benign from malignant pulmonary masses and accompanying lymph nodes.

Cengiz Arzu, Aydın Funda, Sipahi Murat, Dertsiz Levent, Özbilim Gülay, Bozkurt Selen, Güngör Fırat, Boz Adil, Erkılıç Metin

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Аннотация

INTRODUCTION

The aim of this study was to evaluate the usefulness of SUVmax and lesion size to differentiate benign and malignant lesions of the lung and accompanying mediastinal lymph node on F-18 FDG PET/CT imaging.

MATERIALS AND

METHODS

A retrospective analysis was carried out on 100 patients with suspected lung cancer who were recommended for PET/CT scans for diagnosis and staging. The results of the SUVmax, lesion size and patient's age were compared with histopathology which was considered to be the 'gold standard' and sensitivity and specificity were calculated respectively. Lymph nodes greater than 1 cm in patients with benign pathology were evaluated and the SUVmax values were recorded.

RESULT: Of the 100 patients, 38 were found to have benign, whereas 62 had malignant on histopathology. The SUVmax was significantly more elevated in malign masses (13.1 ± 6.4) than in benign masses (8 ± 5.7) (p< 0.05). The dimensions of malignant masses (4.5 ± 2.5 cm) were larger than benign ones (3 ± 1.6 cm) (p< 0.05). SUVmax of 7.6 was determined as the cut-off value, while the sensitivity and specificity were 82% and 55% respectively. The sensitivity was 87% and specificity was 45% for the lesion sizes in differentiation of the malignant and benign lesions.

CONCLUSIONS

There are significant overlaps between benign and malignant lesions and specialists must be aware of the various pathological conditions that can give false positives and negatives.

Для цитирования: Cengiz Arzu, Aydın Funda, Sipahi Murat, Dertsiz Levent, Özbilim Gülay, Bozkurt Selen, Güngör Fırat, Boz Adil, Erkılıç Metin. The role of F-18 FDG PET/CT in differentiating benign from malignant pulmonary masses and accompanying lymph nodes.. Tuberkuloz ve toraks. 2018. DOI: 10.5578/tt.10809.

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