| Literature DB >> 30606144 |
Gustavo Werutsky1, Bruno Hochhegger2, José Antônio Lopes de Figueiredo Pinto2, Jeovany Martínez-Mesa3, Mara Lise Zanini4, Eduardo Herz Berdichevski4, Eduardo Vilas4, Vinícius Duval da Silva2, Maria Teresa Ruiz Tsukazan5, Arthur Vieira5, Leandro Genehr Fritscher2, Louise Hartmann4, Marcos Alba4, Guilherme Sartori6, Cristina Matushita4, Vanessa Bortolotto6, Rayssa Ruszkowski do Amaral6, Luís Carlos Anflor Junior5, Facundo Zaffaroni6, Carlos H Barrios6, Márcio Debiasi6, Carlos Cezar Frietscher2.
Abstract
BACKGROUND: The present study aims to assess the performance of 18F-FDG PET-CT on mediastinal staging of non-small cell lung cancer (NSCLC) in a location with endemic granulomatous infectious disease.Entities:
Keywords: Granulomatous infectious diseases; Mediastinal staging; Non-small cell lung cancer; PET-CT
Mesh:
Year: 2019 PMID: 30606144 PMCID: PMC6318867 DOI: 10.1186/s12885-018-5233-5
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1STARD flow diagram for the evaluation of 18F-FDG PET-CT on mediastinal staging of non-small cell lung cancer
Patient’s characteristics at baseline
| Characteristic | N (%) or median (min-max) ( |
|---|---|
| Age (years) | 65.0 (47.0–80.0) |
| Sex | |
| Male | 49 (57.6%) |
| Female | 36 (42.4%) |
| Race | |
| White | 68 (80.0%) |
| Black | 7 (8.2%) |
| Other | 10 (11.8%) |
| Smoking status | |
| Current | 35 (41.2%) |
| Former | 45 (52.9%) |
| Never | 5 (5.9%) |
| Tobacco Exposure (Pack-year)a | 45.0 (8.1–120.0) |
| Comorbities | |
| Hypertension | 40 (47.1%) |
| Diabetes | 11 (12.9%) |
| COPD | 30 (35.3%) |
| Asthma | 9 (10.6%) |
| Active Tuberculosis | 1 (1.2%) |
| HIV positive | 0 (0.0%) |
Data is presented here as mean (minimum-maximum) or absolute (relative) frequencies. aThis analysis takes into account only the 79 patients that were smokers or former smokers
PET-CT findings and pathological evaluation of mediastinal lymph nodes after surgical staging (per-patient and per-nodal-station)
| PET-CT SUV cut-off | Pathological evaluation of mediastinal lymph nodes | PER-PATIENT (n = 85) | PER-NODAL-STATION ( | ||||
|---|---|---|---|---|---|---|---|
| PET-CT | PET-CT | ||||||
| HOUR 1 | HOUR 2 | HOUR 1 | |||||
| Positive | Negative | Positive | Negative | Positive | Negative | ||
| SUV_Maxa > 0 |
| 20 | 3 | 20 | 3 | 25 | 13 |
|
| 34 | 28 | 35 | 27 | 46 | 128 | |
| SUV_Maxa ≥ 2.5 |
| 18 | 5 | 19 | 4 | 23 | 15 |
|
| 30 | 32 | 30 | 32 | 40 | 134 | |
| SUV_Maxa ≥ 3 |
| 16 | 7 | 18 | 5 | 21 | 17 |
|
| 24 | 38 | 26 | 36 | 32 | 142 | |
| SUV_Maxa ≥ 5 |
| 15 | 8 | 16 | 7 | 18 | 20 |
|
| 13 | 49 | 18 | 44 | 15 | 159 | |
| SUV_Maxa ≥ SUV Liver |
| 18 | 5 | 18 | 4 | – | – |
|
| 23 | 37 | 25 | 34 | – | – | |
aSUV_Max: Maximum value of SUV uptake between 2R, 2 L, 4R, 4 L, 7 and aortopulmonary when evaluating per-patient, and 2R, 2 L, 2R, 4 L and 7 when evaluating per-nodal-station
Sensitivity and specificity of PET-CT using different maximum SUV cutoffs for the staging of the mediastinal lymph nodes (per-patient and per-nodal-station)
| Cut-off | Measure | Hour 1 (Per-Patient) | Hour 2 (Per-Patient) | Hour 1 (Per-Nodal-Station) |
|---|---|---|---|---|
| SUV_Maxa > 0 | Sensitivity | 0.87 (0.66–0.97) | 0.87 (0.66–0.97) | 0.66 (0.49–0.80) |
| Specificity | 0.45 (0.33–0.58) | 0.44 (0.31–0.57) | 0.74 (0.66–0.80) | |
| Positive Predictive Value | 0.37 (0.31–0.44) | 0.36 (0.30–0.43) | 0.35 (0.28–0.43) | |
| Negative Predictive Value | 0.90 (0.76–0.97) | 0.90 (0.75–0.96) | 0.91 (0.86–0.94) | |
| SUV_Maxa ≥ 2.5 | Sensitivity | 0.78 (0.56–0.93) | 0.83 (0.61–0.95) | 0.61 (0.43–0.76) |
| Specificity | 0.52 (0.39–0.65) | 0.52 (0.39–0.65) | 0.77 (0.70–0.83) | |
| Positive Predictive Value | 0.38 (0.30–0.46) | 0.39 (0.32–0.47) | 0.37 (0.28–0.46) | |
| Negative Predictive Value | 0.87 (0.74–0.94) | 0.89 (0.76–0.95) | 0.90 (0.86–0.93) | |
| SUV_Maxa ≥ 3 | Sensitivity | 0.70 (0.47–0.87) | 0.78 (0.56–0.93) | 0.55 (0.38–0.71) |
| Specificity | 0.61 (0.48–0.73) | 0.58 (0.45–0.71) | 0.82 (0.75–0.87) | |
| Positive Predictive Value | 0.40 (0.31–0.50) | 0.41 (0.33–0.50) | 0.40 (0.30–0.50) | |
| Negative Predictive Value | 0.84 (0.74–0.91) | 0.88 (0.76–0.94) | 0.89 (0.85–0.92) | |
| SUV_Maxa ≥ 5 | Sensitivity | 0.65 (0.43–0.84) | 0.70 (0.47–0.87) | 0.47 (0.31–0.64) |
| Specificity | 0.79 (0.67–0.88) | 0.71 (0.58–0.82) | 0.91 (0.86–0.95) | |
| Positive Predictive Value | 0.54 (0.40–0.67) | 0.47 (0.36–0.59) | 0.55 (0.40–0.68) | |
| Negative Predictive Value | 0.86 (0.78–0.92) | 0.86 (0.77–0.92) | 0.89 (0.85–0.92) | |
| SUV_Maxa ≥ SUV Liver | Sensitivity | 0.78 (0.56–0.93) | 0.82 (0.60–0.95) | – |
| Specificity | 0.62 (0.48–0.74) | 0.58 (0.44–0.70) | – | |
| Positive Predictive Value | 0.44 (0.35–0.54) | 0.42 (0.34–0.51) | – | |
| Negative Predictive Value | 0.88 (0.77–0.94) | 0.90 (0.77–0.96) | – |
aSUV_Max: Maximum value of SUV uptake between 2R, 2 L, 4R, 4 L, 7 and aortopulmonary when evaluating per-patient, and 2R, 2 L, 2R, 4 L and 7 when evaluating per-nodal-station
Fig. 2ROC curve comparing PET-CT performance for images acquired in hour 1 and 2
Fig. 3Correlation between maximum SUV and anatomopathological finding for the mediastinal lymphnodes