Vol 26 (2023): Continuous Publishing
Research paper
Published online: 2022-12-28

open access

Page views 3287
Article views/downloads 754
Get Citation

Connect on Social Media

Connect on Social Media

Original

Nuclear Medicine Review 2023, 26, 11–19

DOI: 10.5603/NMR.a2022.0037

Copyright © 2022 Via Medica

ISSN 1506–9680, e-ISSN 1644–4345

Thoracic staging in patients with non-small cell lung cancer: A systematic review and meta-analysis on diagnostic accuracy of [18F]FDG PET/MRI and [18F]FDG PET/CT

Batool Shahraki MojahedKhadije SaravaniFateme Parooie
Zabol University of Medical Sciences, Zabol, Iran

[Received 30 V 2022; Accepted 4 IX 2022]

Correspondence to: Fateme Parooie, Zabol University of Medical Sciences, Shilat Square, Zabol, Iran;e-mail: fatemeparooie@gmail.com

This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.

Background: This study aimed to evaluate the diagnostic accuracy of [18F]FDG PET/MR versus [18F]FDG PET/CT in the thoracic staging of patients with non-small cell lung cancer (NSCLS).
Material and methods: The Preferred Reporting Items for Systematic Reviews (PRISMA) were followed in conducting the present study. All available research was collected through Embase (Elsevier), PubMed, as well as Cochrane Library databases up to June 2021. Only studies covering both [18F]FDG PET/MRI and [18F]FDG PET/CT techniques in the same group were included. Statistical analysis was done using Stata v.12.
Results: The overall accuracy of [18F]FDG PET/CT in T and N staging was 92% (95% CI: 8995 , I2 : 93.4%) and 78% (95% CI: 7482 , I2 : 98.5%) respectively. While, the corresponding rates for [18F]FDG PET/MRI were 91% (95% CI: 8894 , I2 : 96.5%) and 89% (95% CI: 8494 , I2 : 88.1%) respectively.
Conclusions: The present meta-analysis showed that [18F]FDG PET/CT and [18F]FDG PET/MRI exhibit relatively the same performance in detecting N and T stages in patients with NSCLC. Thus, [18F]FDG PET/MRI can be a worthy alternative for [18F]FDG PET/CT in the diagnosis of advanced of NSCLC in the chest area, more specifically in N-staging, since it provides higher soft-tissue contrast. There is a need for more reliable research for comparing the diagnostic performance of these imaging techniques and various optimized [18F]FDG PET/MRI protocols.
KEY words: non-small cell lung cancer; [18F]FDG PET/MRI; [18F]FDG PET/CT; thoracic staging
Nucl Med Rev 2023, 26, 11–19

Introduction

[18F]FDG PET has been confirmed to be necessary for lymph node (N ratio) and distant metastases (M descriptor) staging in patients with non-small cell lung cancer (NSCLC) [1, 2]. However, the accurate evaluation of the size of local tumors is difficult due to the small space and the low descriptive accuracy of positron emission tomography (PET). On the other hand, the computerized tomography (CT) scan is crucial for diagnosis, given the necessity for structural analysis images with high accuracy for the TNM staging system [3–5]. In this context, the combination of both techniques ([18F]FDG PET/CT) allows detecting the TNM in combined therapy and thereby is widely used in clinics and medical guidelines [6]. Predictions and therapies are strongly dependent on the early stage of cancer development. Thus, the accurate imaging of NSCLC development plays a critical role in the efficient management of the patient’s condition and is crucial for restricting operations or multimodal treatments [7]. For patients with NSCLC and no advanced metastasis, the most predictive factor is the involvement of thoracic lymph nodes [8]. Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography ([18F]FDG PET/CT) is the first suggested tool for grading treatable NSCLCs given its high detection accuracy [9, 10]. In spite of the high negative predictive value (NPV) rate in detecting thoracic lymph node metastasis [11, 12], [18F]FDG PET/CT shows a limited specificity in detecting granulomatous lymph nodes as well as inflammatory lymph nodes [13–15]. Thus, Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) and/or ultrasound-guided needle biopsy and/or cervical mediastinoscopy are offered by the current therapy guidelines [8, 16–18]. Furthermore, thoracic staging can be challenging because of the parenchyma deformation after pulmonary obstruction and/or the tumor inflammation at the adjacent pleural cavity and mediastinal structures which can prevent accurate tumor detection by [18F]FDG PET/CT [19, 20]. Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with magnetic resonance imaging([18F]FDG PET/MRI), has been suggested as an accurate alternative for [18F]FDG PET/CT which can provide a higher soft tissue contrast as well as some important functional imaging data by diffusion-weighted imaging [18]. Despite the advantages of the [18F]FDG PET/CT, including more accessibility, higher specialty and skill of radiologists and nuclear physicians, and lower learning duration, the sensitivity of [18F]FDG PET/CT in detecting pulmonary nodes is still a doubtful issue. Since even 3D eco gradient residues fail to accurately detect pulmonary nodes lower than 10 mm in [18F]FDG PET/CT, it is probable to fail to detect small nodes and pulmonary nodes, which causes considerable alterations in the management of the medical condition of these patients [21, 22]. An exact comparison of the accuracy of detection of the disease progress between both imaging techniques, [18F]FDG PET/CT and [18F]FDG PET/MRI. This study aimed to evaluate the diagnostic accuracy of [18F]FDG PET/MRI versus [18F]FDG PET/CT in the thoracic staging of patients with NSCLS.

Material and methods

Literature Search

The Preferred Reporting Items for Systematic Reviews (PRISMA) was followed in conducting the present study. All available research was collected through Embase (Elsevier), PubMed, as well as Cochrane Library databases up to June 2021. The PRISMA flow diagram in Figure 1 summarized the process of study search and study selection.

Figure 1. Preferred Reporting Items for Systematic Reviews (PRISMA) flow diagram
Eligibility criteria

Participants were selected with the least risk of bias. All the studies had a low risk of bias according to the standard reference, because of performing histology examinations and follow-up programs for six to twelve months as well as blinded interpretation of the imaging results. Studies could not be evaluated given the risk of bias in trends and schedules, because no time interferences were reported between index tests and standard references. QUADAS-2 examination results are shown in Figures 1 and 2.

Inclusion and exclusion criteria

The criteria covered in this study included 1) the evaluation of the performance of [18F]FDG PET/CT and [18F]FDG PET/MRI at the advanced stages of cancer; 2) the use of histology assessments or step-by-step imaging as a standard reference; and 3) including clear values for true positive (TP), false positive (FP), false negative (FN), and true negative (TN). The exclusion criteria considered when selecting studies included 1) concentrating on predictions or therapy responses against progress M; 2) having participants less than 10; 3) being published in an abstract of a conference, a letter, research, research on animals (in vivo examinations), an opinion, or a report; 4) being not published in English; 5) using [18F]FDG PET separately from CT scan; 6) using radio probes except for [18F]FDG. The three researchers evaluated the titles and abstracts of articles and inclusion and exclusion criteria applied in this study. The full text of the articles was obtained and evaluated for reliability confirmation.

Methodology assessment

Studies complying with the inclusion criteria were assessed by the two researchers using the QUADAS-2 tool for evaluating the diagnostic accuracy of studies. The quality control tool included four sections, namely the patient’s selection, index testing, standard reference, and schedule and flow. The last index was based on the risk of bias with the capacity for implementation. The score of bias risk was evaluated at high, low, and unknown ranges. Only studies with a low risk of bias were used in this study. Conflicts were solved by consensus (Fig. 3).

Figure 3. QUADS-2 for publication bias
Data extraction

The confirmed studies were evaluated by the two researchers using the PRISMA guideline tool. Data obtained from studies included affiliation, the year of publication, study designs, the country, patient registration, particular technical items, standard reference, and covers. Data were collected from each article considering the trend of progress and the number of FP, TN, TP, and FN.

Statistical analysis

Only studies covering both [18F]FDG PET/MRI and [18F]FDG PET/CT techniques in the same group were studied to allow minimizing inconsistency between methodological and clinical studies. Sensitivity and accuracy data with the CI of 95% were calculated by the Reitsma bivariate random-effects analysis. The inconsistency between studies was obtained by chi-squared (χ2) test results, with p < 0.05 which indicates the magnitude of inconsistency. The inconsistency estimated by DORs was then calculated to test if the inconsistency is due to the threshold effect or not. Variations among studies were mostly due to inconsistency, rather than the rate of chance obtained by calculating the value of I2. Statistical analysis was done using Stata v.12.

Results

Research for studies

The initial research covered a total of 743 articles, of which 10 articles were assessed and five articles were ultimately included in this study. Figure 1 provides a summary of searching for articles and the reason for excluding articles. These five articles included a total of 263 patients (Fig. 1).

Characteristics of included studies

A total of 5 studies consisting of 263 patients were included. Out of 5 studies 4 were in retrospective design and only one was prospective. Four studies were conducted in Germany and the remaining one was from China. The overall mean age and male-to-female ratio were 63.42, and 1.21, respectively. All studies used histopathology as the reference standard. Only two studies reported the prevalence of different types of NSCC. Base on those two articles, the most common type of NSCC was adenocarcinoma; 66% (95% CI : 58.73),followed by SCC 26% (95% CI : 20.33),and large cell carcinoma 3% (95% CI : 1.6) (Tab. 1, Fig. 2).

Table 1. General characteristics of included studies

Parameters

Kirchner [29]

Heusch [30]

Wang [31]

Schaarschmidt [32]

Schaarschmidt [33]

Year

2019

2014

2021

2015

2016

Country

Germany

Germany

China

Germany

Germany

Study design

Prospective

Prospective

Retro

Retro

Study duration

N/A

N/A

Prospective

20122014

N/A

Patient enrollment

84

22

52

28

77

Men/women

51/33

10/12

N/A

15/13

43/34

Mean age (range)

62.5 ± 9.1 years

65.1 ± 9.1 years

N/A

65.1 ± 8.2 years

61 ± 10 years

Reference standard

Histopathology

Histopathology

Histopathology

Histopathology

Histopathology

Blinding

Yes

Yes

N/A

Yes

Yes

Meta-analysis of the overall concordance of [18F]FDG PET/MRI and [18F]FDG PET/CT

According to the results of three included studies the overall concordance of [18F]FDG PET/CT and [18F]FDG PET/MRI in the thoracic staging of NSCC was 98% (95% CI : 96100, I2 : 94.7%) and the rate of discrepancy between these two methods was 2.3% (95% CI : 24.4, I2 : 97.3%) (Tab. 2).

Table 2. Diagnostic accuracy data of included studies

Subtype

Kirchner [29]

Heusch [30]

Wang [31]

Schaarschmidt [32]

Schaarschmidt [33]

Adenocarcinoma

59

N/A

N/A

N/A

46

Squamous cell carcinoma

21

N/A

N/A

N/A

22

Large cell carcinoma

2

N/A

N/A

N/A

9

Not otherwise specified NSCLC

2

N/A

N/A

N/A

Total

84

N/A

N/A

N/A

77

M-stage

N/A

N/A

N/A

N/A

1% (n = 1)

Patient therapy management was changed

N/A

N/A

N/A

N/A

Six patients (8%)

Concordant staging results were observed between thoracic [18F]FDG PET/CT and [18F]FDG PET/MR

83 of 84 patients (98.8%)

100%

N/A

N/A

65% (50 patients)

Discrepancies in thoracic tumor staging were observed

1 of 84

0

N/A

N/A

35% (27 patients)

[18F]FDG PET/CT accuracy

T stage

92.3

16 of 16

84.6%

73%

19% (n = 11) while in 20

N stage

78 of 84 patients (92.9%)

18 of 22 (82%)

88.5% (46/52)

N/A

16% (n = 9) in all 57

[18F]FDG PET/MRI accuracy

T stage

89.7%

16 of 16

82.7%

69%

15% (n = 3) in 20

N stage

77 of 84 patients (91.7%)

20 of 22 (91%)

N/A

N/A

45% (n = 9) in 20

Mediastinal lymph node metastases

[18F]FDG PET/CT

Sen

N/A

75%

63.6%

N/A

N/A

Spe

N/A

86%

95.1%

N/A

N/A

Acc

N/A

82%

88.5%

N/A

N/A

Ppv

N/A

75%

N/A

N/A

N/A

Npv

N/A

86%

N/A

N/A

N/A

[18F]FDG PET/MRI

Sen

N/A

88%

81.8%

N/A

N/A

Spe

N/A

93%

97.6%

N/A

N/A

Acc

N/A

91%

94.2%

57%

N/A

PPV

N/A

88%

N/A

N/A

N/A

NPV

N/A

93%

N/A

N/A

N/A

The SUVmax of NSCLC

[18F]FDG PET/CT

11.7 ± 8.3

10.5 + 5.3

N/A

N/A

N/A

[18F]FDG PET/MRI

12.7 ± 8.7

12.0 + 5.7

N/A

N/A

N/A

Measured size

[18F]FDG PET/CT

N/A

4.2 ± 2.7 cm

N/A

N/A

N/A

[18F]FDG PET/MRI

N/A

4.2 ± 2.6 cm

N/A

N/A

N/A

Comparison of the accuracy of [18F]FDG PET/CT and [18F]FDG PET/MRI in thoracic T and N staging

The overall accuracy of [18F]FDG PET/CT in T and N staging was 92% (95% CI: 8995, I2 : 93.4%) and 78% (95% CI: 7482, I2 : 98.5%) respectively. While the corresponding rates for [18F]FDG PET/MRI were 91% (95% CI: 8894, I2 : 96.5%) and 89% (95% CI: 8494, I2: 88.1%) respectively. The overall accuracy of [18F]FDG PET/MRI in the detection of mediastinal lymph node metastasis was 90% (95% CI: 8596, I2 : 85.7%) based on three studies. However, we did not have enough data to analyze the sensitivity and specificity measures (Tab. 2, Fig. 46).

Meta-analysis of the mean SUV max for the thoracic staging of NSCC

The overall mean SUVmax for the staging of NSCC was measured at 11.1 ± 6.8 for [18F]FDG PET/CT and 12.3 ± 7.2 for [18F]FDG PET/MRI, based on 2 included articles (Tab. 2).

Discussion

For patients with NSCLC who are qualified for surgery, the exact estimation of T and N stages is crucial. It has recently been observed that the accuracy of [18F]FDG PET/MRI is equal to that of [18F]FDG PET/CT in detecting the advancement of the disease and evaluating the volume of metastatic lymph nodes in the pulmonary pleural cavity. The basis for treating patients with NSCLC is surgery, while the initial biopsy is recommended only for stages I and II of the disease and for some specific cases of stage III [23]. Along with neoadjuvant chemoradiotherapy and radiotherapy, full tumor removal is possible, even at the advanced local steps of the disease. For patients where a full biopsy is not achievable, alleviatory therapies are administrated. Thus, the accurate diagnosis of advanced phases of the disease (N and T) is crucial, as it provides important data on the size of the tumor, selecting the appropriate procedure for therapy, and identifying the status of the patient [23, 24]. The current meta-analysis showed high diagnostic accuracy of [18F]FDG PET/MRI for advanced stages of the thoracic NSCLC and its comparable concordance rate with [18F]FDG PET/CT as the current imaging standard. Contrary to [18F]FDG PET/CT, [18F]FDG PET/MRI allows us to simultaneously assess the whole body in terms of NSCLC advancement and even perform brain imaging. Since NSCLC metastases mostly occur in the brain, liver, and/or bones, [18F]FDG PET/MRI is expected to deliver better diagnostic results. Thus, [18F]FDG PET/MRI can be a comprehensive and useful tool for detecting the TNM advancement stage in the body [25, 26].

In line with our study lee et al reported a complete (32/32) agreement between [18F]FDG PET/MRI and [18F]FDG PET/CT in T-sage. They also reported that out of 24 cases, [18F]FDG PET MRI predicted the correct N-stage in all of them while [18F]FDG PET/CT missed 2 [27]. These data are in line with our study reporting accuracy of 89% for [18F]FDG PET/MRI in N-staging in comparison to the corresponding rate of 78% for [18F]FDG PET/CT. However, a recent review by Dahlsgaard-Wallenius at al. [28] concluded that [18F]FDG PET/MRI did not have any advantages in N and T staging of NSCLC. They also indicated that although [18F]FDG PET/MRI had a comparable sensitivity for detection of lung nodules over 10 mm, it remains inferior to [18F]FDG PET/CT in the evaluation of nodules under 5 mm [28]. Regarding the SUVmax in thoracic staging, only two of our included studies provided the required data, both of which reported a high correlation between these two methods [29, 30]. However, Lee et al. [29] in their study evaluating the diagnostic accuracy of [18F]FDG PET/CT and [18F]FDG PET/MRI in overall staging of NSCLC reported a significantly higher SUVmax of primary lesions for [18F]FDG PET/CT compared to [18F]FDG PET/MRI [27]. The number of articles and included patients was fewer than we expected. In diagnostic imaging studies, the small sample size and inconsistent techniques can affect the quality of meta-analysis. The other explanation for inconsistency is the impact of assessing the patient instead of a lesion. Other limitations were related to the design of studies, such as sampling and publication bias, and limited information in reports. Explanations of the properties of metastatic lesions were not accessible in most studies, as well.

Conclusions

The present meta-analysis showed that [18F]FDG PET/CT and [18F]FDG PET/MRI exhibit relatively the same performance in detecting N and T stages in patients with NSCLC. Thus, [18F]FDG PET/MRI can be a worthy alternative for [18F]FDG PET/CT in the diagnosis of advanced of NSCLC in the chest area, more specifically in N-staging, since it provides higher soft-tissue contrast. There is a need for more reliable research for comparing the diagnostic performance of these imaging techniques and various optimized [18F]FDG PET/MRI protocols.

Conflict of interest

All the authors declare that they have no conflict of interest.

References

  1. Pieterman RM, van Putten JW, Meuzelaar JJ, et al. Preoperative staging of non-small-cell lung cancer with positron-emission tomography. N Engl J Med. 2000; 343(4): 254261, doi: 10.1056/NEJM200007273430404, indexed in Pubmed: 10911007.
  2. Manus MM, Hicks R, Matthews J, et al. High rate of detection of unsuspected distant metastases by PET in apparent stage III non-small-cell lung cancer: implications for radical radiation therapy. Int J Radiat Oncol. 2001; 50(2): 287293, doi: 10.1016/s0360-3016(01)01477-8.
  3. Tinteren Hv, Hoekstra O, Smit E, et al. Effectiveness of positron emission tomography in the preoperative assessment of patients with suspected non-small-cell lung cancer: the PLUS multicentre randomised trial. The Lancet. 2002; 359(9315): 13881392, doi: 10.1016/s0140-6736(02)08352-6.
  4. Lardinois D, Weder W, Hany TF, et al. Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomography. N Engl J Med. 2003; 348(25): 25002507, doi: 10.1056/NEJMoa022136, indexed in Pubmed: 12815135.
  5. Antoch G, Stattaus J, Nemat AT, et al. Non-small cell lung cancer: dual-modality PET/CT in preoperative staging. Radiology. 2003; 229(2): 526533, doi: 10.1148/radiol.2292021598, indexed in Pubmed: 14512512.
  6. Goeckenjan G, Sitter H, Thomas M, et al. German Respiratory Society, German Cancer Society. Prevention, diagnosis, therapy, and follow-up of lung cancer: interdisciplinary guideline of the German Respiratory Society and the German Cancer Society. Pneumologie. 2011; 65(1): 3959, doi: 10.1055/s-0030-1255961, indexed in Pubmed: 21157688.
  7. Postmus PE, Kerr KM, Oudkerk M, et al. ESMO Guidelines Committee. Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017; 28(suppl_4): iv1iv21, doi: 10.1093/annonc/mdx222, indexed in Pubmed: 28881918.
  8. De Leyn P, Dooms C, Kuzdzal J, et al. Revised ESTS guidelines for preoperative mediastinal lymph node staging for non-small-cell lung cancer. Eur J Cardiothorac Surg. 2014; 45(5): 787798, doi: 10.1093/ejcts/ezu028, indexed in Pubmed: 24578407.
  9. Lardinois D, Weder W, Hany TF, et al. Staging of non-small-cell lung cancer with integrated positron-emission tomography and computed tomography. N Engl J Med. 2003; 348(25): 25002507, doi: 10.1056/NEJMoa022136, indexed in Pubmed: 12815135.
  10. Antoch G, Stattaus J, Nemat AT, et al. Non-small cell lung cancer: dual-modality PET/CT in preoperative staging. Radiology. 2003; 229(2): 526533, doi: 10.1148/radiol.2292021598, indexed in Pubmed: 14512512.
  11. Wang J, Welch K, Wang L, et al. Negative predictive value of positron emission tomography and computed tomography for stage T1-2N0 non-small-cell lung cancer: a meta-analysis. Clin Lung Cancer. 2012; 13(2): 8189, doi: 10.1016/j.cllc.2011.08.002, indexed in Pubmed: 22056226.
  12. Ambrosini V, Fanti S, Chengazi VU, et al. Diagnostic accuracy of FDG PET/CT in mediastinal lymph nodes from lung cancer. Eur J Radiol. 2014; 83(8): 13011302, doi: 10.1016/j.ejrad.2014.04.035, indexed in Pubmed: 24917223.
  13. Sommer G, Wiese M, Winter L, et al. Preoperative staging of non-small-cell lung cancer: comparison of whole-body diffusion-weighted magnetic resonance imaging and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography. Eur Radiol. 2012; 22(12): 28592867, doi: 10.1007/s00330-012-2542-y, indexed in Pubmed: 22772365.
  14. Roberts P, Follette D, Haag Dv, et al. Factors associated with false-positive staging of lung cancer by positron emission tomography. Ann Thorac Surg. 2000; 70(4): 11541159, doi: 10.1016/s0003-4975(00)01769-0.
  15. Konishi J, Yamazaki K, Tsukamoto E, et al. Mediastinal lymph node staging by FDG-PET in patients with non-small cell lung cancer: analysis of false-positive FDG-PET findings. Respiration. 2003; 70(5): 500506, doi: 10.1159/000074207, indexed in Pubmed: 14665776.
  16. Zhang R, Ying K, Shi L, et al. Combined endobronchial and endoscopic ultrasound-guided fine needle aspiration for mediastinal lymph node staging of lung cancer: a meta-analysis. Eur J Cancer. 2013; 49(8): 18601867, doi: 10.1016/j.ejca.2013.02.008, indexed in Pubmed: 23481511.
  17. Tournoy KG, Maddens S, Gosselin R, et al. Integrated FDG-PET/CT does not make invasive staging of the intrathoracic lymph nodes in non-small cell lung cancer redundant: a prospective study. Thorax. 2007; 62(8): 696701, doi: 10.1136/thx.2006.072959, indexed in Pubmed: 17687098.
  18. Vial MR, O’Connell OJ, Grosu HB, et al. Diagnostic performance of endobronchial ultrasound-guided mediastinal lymph node sampling in early stage non-small cell lung cancer: A prospective study. Respirology. 2018; 23(1): 7681, doi: 10.1111/resp.13162, indexed in Pubmed: 28857362.
  19. Nomori H, Watanabe K, Ohtsuka T, et al. Evaluation of F-18 fluorodeoxyglucose (FDG) PET scanning for pulmonary nodules less than 3 cm in dia­meter, with special reference to the CT images. Lung Cancer. 2004; 45(1): 1927, doi: 10.1016/j.lungcan.2004.01.009, indexed in Pubmed: 15196730.
  20. Cheran S, Nielsen N, Patz E. False-Negative Findings for Primary Lung Tumors on FDG Positron Emission Tomography: Staging and Prognostic Implications. AJR Am J Roentgenol. 2004; 182(5): 11291132, doi: 10.2214/ajr.182.5.1821129.
  21. Sawicki LM, Grueneisen J, Buchbender C, et al. Evaluation of the outcome of lung nodules missed on 18F-FDG PET/MRI compared with 18F-FDG PET/CT in patients with known malignancies. J Nucl Med. 2016; 57(1): 1520, doi: 10.2967/jnumed.115.162966, indexed in Pub­med: 26514173.
  22. Sawicki LM, Kirchner J, Grueneisen J, et al. Comparison of F-FDG PET/MRI and MRI alone for whole-body staging and potential impact on therapeutic management of women with suspected recurrent pelvic cancer: a follow-up study. Eur J Nucl Med Mol Imaging. 2018; 45(4): 622629, doi: 10.1007/s00259-017-3881-3, indexed in Pubmed: 29164299.
  23. Novello S, Barlesi F, Califano R, et al. ESMO Guidelines Committee. Metastatic non-small-cell lung cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2016; 27(suppl 5): v1v27, doi: 10.1093/annonc/mdw326, indexed in Pubmed: 27664245.
  24. Postmus PE, Kerr KM, Oudkerk M, et al. ESMO Guidelines Committee. Early and locally advanced non-small-cell lung cancer (NSCLC): ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017; 28(suppl_4): iv1iv21, doi: 10.1093/annonc/mdx222, indexed in Pubmed: 28881918.
  25. Buchbender C, Heusner TA, Lauenstein TC, et al. Oncologic PET/MRI, part 1: tumors of the brain, head and neck, chest, abdomen, and pelvis. J Nucl Med. 2012; 53(6): 928938, doi: 10.2967/jnumed.112.105338, indexed in Pubmed: 22582048.
  26. Buchbender C, Heusner TA, Lauenstein TC, et al. Oncologic PET/MRI, part 2: bone tumors, soft-tissue tumors, melanoma, and lymphoma. J Nucl Med. 2012; 53(8): 12441252, doi: 10.2967/jnumed.112.109306, indexed in Pubmed: 22782313.
  27. Lee SM, Goo JMo, Park CM, et al. Preoperative staging of non-small cell lung cancer: prospective comparison of PET/MR and PET/CT. Eur Radiol. 2016; 26(11): 38503857, doi: 10.1007/s00330-016-4255-0, indexed in Pubmed: 26883332.
  28. Dahlsgaard-Wallenius SE, Hildebrandt MG, Johansen A, et al. Hybrid PET/MRI in non-small cell lung cancer (NSCLC) and lung nodules-a literature review. Eur J Nucl Med Mol Imaging. 2021; 48(2): 584591, doi: 10.1007/s00259-020-04955-z, indexed in Pubmed: 32719914.
  29. Kirchner J, Sawicki LM, Nensa F, et al. Prospective comparison of F-FDG PET/MRI and F-FDG PET/CT for thoracic staging of non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2019; 46(2): 437445, doi: 10.1007/s00259-018-4109-x, indexed in Pubmed: 30074073.
  30. Heusch P, Buchbender C, Köhler J, et al. Thoracic staging in lung cancer: prospective comparison of 18F-FDG PET/MR imaging and 18F-FDG PET/CT. J Nucl Med. 2014; 55(3): 373378, doi: 10.2967/jnumed.113.129825, indexed in Pubmed: 24504054.
  31. Wang M, He Z, Hao-jun Y, et al. Comparison diagnostic value of 18F-FDG PET/MRI and PET/CT in evaluation of pleural invasion in patient with non-small cell lung cancer. J Nucl Med. 2021; 62(supplement 1): 1029.
  32. Schaarschmidt B, Buchbender C, Gomez B, et al. Thoracic staging of non-small-cell lung cancer using integrated (18)F-FDG PET/MR imaging: diagnostic value of different MR sequences. Eur J Nucl Med Mol Imaging. 2015; 42(8): 12571267, doi: 10.1007/s00259-015-3050-5, indexed in Pubmed: 25852011.
  33. Schaarschmidt BM, Grueneisen J, Metzenmacher M, et al. Thoracic staging with F-FDG PET/MR in non-small cell lung cancer - does it change therapeutic decisions in comparison to F-FDG PET/CT? Eur Radiol. 2017; 27(2): 681688, doi: 10.1007/s00330-016-4397-0, indexed in Pubmed: 27180186.