| Literature DB >> 26273398 |
Elena Scagliori1, Laura Evangelista2, Annalori Panunzio1, Fiorella Calabrese3, Nazarena Nannini3, Roberta Polverosi4, Fabio Pomerri1.
Abstract
BACKGROUND: To evaluate the role of computed tomography (CT) and positron emission tomography (PET)/CT in patients with thymic cancer and thymoma at initial staging.Entities:
Keywords: Computed tomography; PET/CT; prognosis; thymic cancer; thymoma
Year: 2015 PMID: 26273398 PMCID: PMC4511321 DOI: 10.1111/1759-7714.12197
Source DB: PubMed Journal: Thorac Cancer ISSN: 1759-7706 Impact factor: 3.500
Characteristics of study population
| Characteristics | |
|---|---|
| Median age (range), years | 57.5 (31–78) |
| Histological subtype, | |
| Thymoma AB | 3 (11.5%) |
| Thymoma B1 | 3 (11.5%) |
| Thymoma B1/B2 | 1 (3.8%) |
| Thymoma B2 | 3 (11.5%) |
| Thymoma B3 | 7 (26.9%) |
| Thymic cancer | 9 (34.6%) |
| Stage, | |
| I | 3 (11.5%) |
| II | 7 (26.9%) |
| III | 6 (23.1%) |
| IVA | 14 (15.4%) |
| IVB | 6 (23.1%) |
| Gender, | |
| Male | 8 (30.8%) |
| Female | 18 (69.2%) |
| Median volume (range) | |
| CT (morphological), mL | 62.5 (3.30–306.9) |
| PET/CT (metabolic), cm3 | 83.5 (0.06–690) |
| Following treatments, | |
| Surgery | 26 (100%) |
| Systemic treatment | 13 (50%) |
| Radiotherapy | 5 (19.2%) |
Radical and non-radical.
Neoadjuvant or adjuvant chemotherapy.
CT, computed tomography
PET, positron emission tomography.
Computed tomography characteristics
| Thymic cancer ( | Thymoma ( | ||
|---|---|---|---|
| Necrosis | 2 (60%) | 0 | |
| Calcifications | 2 (40%) | 0 | |
| Fat infiltration | 4 (80%) | 0 | |
| Infiltration of vessels | 3 (60%) | 3 (100%) | |
| Pleural effusion | 2 (40%) | 0 | |
| Median maximum axial diameter (in mm) | 45 (28–80) | 20 (15–27) | |
| Median maximum longitudinal diameter (in mm) | 69 (24–109) | 21 (3–22) | |
| Median volume (in mL) | 77.91 (10.5–251) | 4.52 (3.30–7.10) |
Chi-square test corrected for Yates.
U-Mann Whitney.
PET/CT characteristics
| Thymic cancer ( | Thymoma ( | ||
|---|---|---|---|
| SUVmax | 9.34 (3.2–23.5) | 4.84 (1.5–25.9) | |
| SUVavg | 4.75 (2.98–8.28) | 3.39 (0.78–8.85) | |
| T/B ratio | 3.07 (1.67–3.79) | 2.06 (0.63–5.05) | |
| MTV | 126.53 (0.4–690.02) | 6.03 (0.06–240.21) | |
| TLG | 642.05 (1.10–3374.20) | 20.32 (0.05–1570.97) |
U-Mann-Whitney test.
CT, computed tomography
MTV, metabolic tumor volume
PET, positron emission tomography
SUV avg, standardized uptake value average
SUVmax, SUVmaximum
T/B tumor/background
TLG, total lesion glycolysis.
Figure 1Positron emission tomography/computed tomography (CT) and CT images of (a,b) a thymoma, and (c,d) thymic cancer.
Masaoka clinical staging and semiquantitative imaging findings
| CT | PET/CT | |||
|---|---|---|---|---|
| MLD | Volume | MTV | TLG | |
| Stage I-II | 21.5 (3–69) | 5.81 (3.30–54.78) | 0.34 (0.06–118.91) | 1.15 (0.05–912.04) |
| Stage III-IV | 73 (24–109) | 77.9 (10.5–306.9) | 95.08 (0.34–690.02) | 466.45 (1.01–3374.20) |
CT, computed tomography
MLD, ***
MTV, metabolic tumor volume
PET, positron emission tomography
TLG,total lesion glycolysis.
Figure 2Box-plots of semiquantitative positron emission tomography/computed tomography data obtained from literature research.
Figure 3Progression-free survival curves in accordance with metabolic positron emission tomography measures.
The list of collected studies (in publication date order)
| Authors, ref | Year | N. PTS | Histology (thymoma/thymic cancer) | Imaging | Aim of the study | Conclusions |
|---|---|---|---|---|---|---|
| Benveniste | 2013 | 51 | 37/12 (2 thymic carcinoid) | FDG | To assess whether the amount of FDG uptake can predict advanced thymoma and if it can separate thymoma from thymic cancer. | Focal FDG uptake cannot predict advanced thymoma but is helpful in distinguish thymoma from thymic carcinoma or more aggressive forms, such as thymoma B3. |
| PET | ||||||
| Toba | 2013 | 33 | 25/8 | FDG | To evaluate the usefulness of FDG PET/CT and the relationship among the expression of HIF-1alfa, Glut-1 and VEGF. | The expression of HIF-1, Glut-1 and VEGF might be associated with malignancy of thymic epithelial tumors. |
| PET/CT | ||||||
| Lococo | 2013 | 47 | 40/7 | FDG | To determine the performance of combined FDG PET/CT as a predictor of the WHO classification based malignancy grade in thymic epithelial tumors. | A significant correlation between FDG PET/CT and WHO classification was found. |
| PET/CT | ||||||
| Qu | 2013 | 129 | 129/0 | CT | To investigate the relationships between preoperative CT staging and postoperative surgical Masaoka clinical staging. | This study documented a close relationship between preoperative CT thymoma staging and postoperative Masaoka clinical staging. Thus, preoperative CT findings can be beneficial for determining the proper management and prognosis of thymoma patients. |
| Liu | 2012 | 105 | 84/21 | CT | To explore the relationship between CT manifestations of thymoma and its WHO pathological classification. | Distinctive CT features of thymomas may reflect their pathological types. |
| Fukumoto | 2012 | 58 | 44/14 | FDG | To assess the utility of FDG PET/CT for predicting the histologic type and stage of thymic epithelial tumors. | PET/CT is a useful modality for predicting the histologic type and tumor stage of thymic epithelial tumors. |
| PET/CT | ||||||
| Terzi | 2011 | 26 | 18/8 | FDG | To assess the usefulness FDG PET/CT for differentiating the grade of malignancy of thymic epithelial neoplasm, and to modify treatment strategy. | PET/CT could be used to identify patients with a high-risk thymoma and modify clinical management following histological confirmation or modify surgical approach (open vs. thoracoscopic surgery). |
| PET/CT | ||||||
| Igai | 2011 | 13 | 8/5 | FDG | To investigate whether SUVmax can predict the grade of malignancy of thymic epithelial tumors based on the WHO classification. | SUVmax is a useful parameter for differentiating between thymic epithelial tumor subgroups and for evaluating the extent of disease. |
| PET | ||||||
| Marom | 2011 | 99 | 99/0 | CT | To identify preoperative CT findings associated with thymoma invasiveness before surgical resection. | CT imaging features can differentiate between stage I/II and stage III/IV disease and, thus, help identify patients more likely to benefit from neoadjuvant therapy. |
| Priola | 2010 | 58 | 58/0 | CT | To assess the CT imaging findings of thymoma and to correlate these features with Masaoka staging system and prognosis. | CT is useful in differentiating invasive from non-invasive thymomas and plays an important role in evaluating and treating these patients for multimodal therapy with neoadjuvant approaches. |
| Totanarungroj | 2010 | 28 | 27/1 | CT | To characterize the CT features of common anterior mediastinal tumors and evaluate CT findings that may help in suggesting specific diagnosis among these tumors. | The CT findings that help in giving specific diagnosis of anterior mediastinal tumor are fat attenuation and associated mediastinal lymphadenopathy. |
| Kumar | 2009 | 23 | 19/4 | FDG | To evaluate if FDG PET-CT can help differentiate various thymic lesions noted on conventional imaging modalities. | FDG PET/CT can characterize and differentiate various thymic lesions and it can distinguish between high risk and low risk thymoma. |
| PET/CT | ||||||
| Luzzi | 2009 | 19 | 13/6 | FDG | To explore the usefulness of FDG PET-CT in the preoperative assessment of isolated anterior mediastinal lesions. | Anterior mediastinal lesions with SUVmax <5 indicate a susceptible lesion for upfront surgery, in the absence of other clinical |
| PET | indications. For lesions with SUVmax >5 and with CT evidence of gross morphology, a biopsy must be obtained. | |||||
| Shibata | 2009 | 40 | 37/3 | FDG | To clarify the usefulness of PET) using FDG and 11C-acetate for predicting the histologic types and tumor invasiveness of thymoma. | The FDG-SUV and 11C-acetate-SUV in PET can be used to predict the histologic type of thymoma. |
| PET | ||||||
| Tomiyama | 2009 | 60 | 48/12 | CT and MRI | To compare the diagnostic accuracy for anterior mediastinal tumors among CT, MRI, and both CT and MRI, and to determine the optimal CT and MRI procedures for the diagnosis of anterior mediastinal tumors. | CT is equal or superior to MRI in the diagnosis of anterior mediastinal tumors except for thymic cysts. CT should be considered the modality of choice following chest radiography. |
| Endo | 2008 | 36 | 36/0 | FDG | To assess the value of FDG PET in thymic epithelial tumors according to the WHO histologic classification. | FDG PET accumulation in thymic epithelial tumors significantly correlated with a simplified WHO classification. |
| PET | ||||||
| El-Bawab | 2007 | 37 | 37/0 | FDG | To evaluate the utilization of PET scan with FDG in thymic pathology. | FDG PET is a very sensitive diagnostic tool in detecting residual, recurrence, and metastatic disease in patients who underwent thymoma excision. |
| PET | ||||||
| Sadohara | 2006 | 60 | 48/12 | CT and MRI | To assess the CT and MRI findings of thymic epithelial tumors classified according to the current WHO histologic classification and to determine useful findings in differentiating the main subtypes. | The presence of irregular contour, necrotic or cystic component, heterogeneous enhancement, lymphadenopathy, and great vessel invasion on CT or MRI are strongly suggestive of thymic carcinomas. |
| Sung | 2006 | 33 | 17/16 | FDG | To assess the usefulness of integrated PET/CT using FDG for distinguishing thymic epithelial tumors according to the WHO classification. | FDG PET/CT proved to be useful in differentiating thymic epithelial tumor subgroups and in evaluating the extent of disease. |
| PET/CT | ||||||
| Jeong | 2004 | 91 | 76/15 | CT | To describe the CT findings of thymic epithelial tumors and to correlate these findings with histopathologic subtypes and prognosis. | CT findings may serve as predictors of postoperative recurrence or metastasis for thymic epithelial tumors. |
CT, computed tomography
FDG, fluorodeoxyglucose
MRI, magnetic resonance imaging
PET, positron emission tomography
SUVmax, standardized uptake value maximum
VEGF, vascular endothelial growth factor
WHO, World Health Organization.