[18F]FDG positron emission tomography/computed tomography and multidetector computed tomography roles in thymic lesion treatment planning

Travaini, Laura Lavinia; Petralia, Giuseppe; Trifirò, Giuseppe; Ravasi, Laura; Galetta, Domenico; Carbone, Giuseppe; Falcini, Fabio; Spaggiari, Lorenzo; Bellomi, Massimo; Paganelli, Giovanni

doi:10.1016/j.lungcan.2008.01.019

Cited by 14 publications

(8 citation statements)

References 22 publications

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“…We found that malignant tumors were significantly larger in short-axis dimension than benign tumors. In a small study by Travaini et al, all benign lesions (8 of 8 masses) were <5 cm in long-axis dimension, compared with only 3 of 12 malignant lesions [19]. This pattern is also seen in the spectrum of thymic epithelial tumors.…”

Section: Discussionmentioning

confidence: 94%

“…However, to our knowledge, our study is the largest to compare the imaging features of benign and malignant thymic lesions. Travaini et al evaluated the role of F-18-fluorodeoxyglucose PET CT to differentiate benign and malignant thymic masses but was limited by a small sample size of 20 patients [19]. In a study of 109 thymic masses, Singla et al recommend that it is reasonable to observe asymptomatic patients with diffusely enlarged thymic glands by use of serial CT imaging; however, they did not address the imaging characterization of discrete thymic masses seen on CT [7].…”

Section: Discussionmentioning

confidence: 99%

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Distinguishing Benign Thymic Lesions from Early-Stage Thymic Malignancies on Computed Tomography

McErlean

Huang

Zabor

et al. 2013

Journal of Thoracic Oncology

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Introduction The increasing use of computed tomography (CT) has led to more-frequent identification of asymptomatic lesions in the anterior mediastinum. The purpose of this study is to identify CT features that distinguish benign thymic lesions from early stage malignant thymic neoplasms. Methods We retrospectively reviewed preoperative CT imaging for 66 patients who had undergone thymectomy for benign thymic lesions or early stage malignant thymic neoplasms. All variables with a p-value <0.2 on univariate logistic regression analysis were evaluated by multivariate analysis. Stepwise selection was performed, and variables with a p-value <0.05 were retained in the final model. Results Thirty-eight malignant (58%) and 28 benign thymic lesions (42%) were included. Patients with benign thymic tumors were significantly younger (median age, 49.5 years) than patients with malignant tumors (60.0 years; p=0.007). Malignant tumors were larger in short-axis dimension (p=0.028) and more frequently in a non-midline location in the anterior mediastinum (p=0.029). Intralesional fat was seen exclusively in benign masses (p=0.002). Seven benign tumors (25%) and 1 malignant tumor (2.6%) had a triangular thymic shape (p=0.023). In multivariate analysis, lower age, smaller short-axis dimension, and lack of infiltration of the mediastinal fat were significant independent predictors of benign pathologic results. Conclusion Intralesional fat, midline location, and triangular thymic shape are more frequently found in benign thymic lesions. Lack of infiltration of the mediastinal fat, younger patient age, and smaller size are independent predictors of benign thymic lesions. These features may help characterize thymic masses as benign and avert potentially unnecessary invasive diagnostic procedures.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Distinguishing Benign Thymic Lesions from Early-Stage Thymic Malignancies on Computed Tomography

McErlean

Huang

Zabor

et al. 2013

Journal of Thoracic Oncology

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“…SUV t of more than 3.4 was highly correlated with the diagnosis of tumor or tumor recurrence, while an SUV t of less than 3.1 was highly correlated with normal or rebound thymus. Previous investigators have evaluated differences between thymus and mediastinal tumors on the basis of MR imaging ( 2 ) and PET (16)(17)(18)(19).…”

Section: Discussionmentioning

confidence: 99%

Differentiation of Normal Thymus from Anterior Mediastinal Lymphoma and Lymphoma Recurrence at Pediatric PET/CT

Gawande¹,

Khurana²,

Messing³

et al. 2012

Radiology

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“…This uptake is generally uniform and of low intensity, with mean SUVmax of <3.0. 92 Limited data on MIBG imaging of thymic carcinoids suggest its performance is similar to that reported in other carcinoids. 93,94 No reports of FDOPA imaging in thymic lesions are available.…”

Section: Thymic Neuroendocrine Tumorsmentioning

confidence: 85%

Molecular Imaging of Neuroendocrine Tumors

Carrasquillo

Chen

2010

Seminars in Oncology

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Neuroendocrine tumors (NET) are a heterogeneous group of tumors that arise from neuroendocrine cells. These tumors may arise from various organs, including lung, thymus, thyroid, stomach, duodenum, small bowel, large bowel, appendix, pancreas, adrenal, and skin. Most are well differentiated and have the ability to produce biogenic amines and various hormones. NET usually occur sporadically but they also be associated with various familial syndromes. For the vast majority of NET, surgical resection is the treatment of choice whenever feasible. Localization of NET prior to surgery and for staging and follow-up relies on both anatomic and functional imaging modalities. In fact, the unique secretory characteristics of these tumors lend themselves to imaging by molecular imaging modalities, which can target specific metabolic pathways or receptors.

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[18F]FDG positron emission tomography/computed tomography and multidetector computed tomography roles in thymic lesion treatment planning

Cited by 14 publications

References 22 publications

Distinguishing Benign Thymic Lesions from Early-Stage Thymic Malignancies on Computed Tomography

Distinguishing Benign Thymic Lesions from Early-Stage Thymic Malignancies on Computed Tomography

Differentiation of Normal Thymus from Anterior Mediastinal Lymphoma and Lymphoma Recurrence at Pediatric PET/CT

Molecular Imaging of Neuroendocrine Tumors

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