Journals / Türk Göğüs Kalp Damar Cerrahisi Dergisi / 2019 / Cilt: 27 - Sayı: 4

Quantitative volumetric metabolic measurement of solitary pulmonary nodules by F-18 fluorodeoxyglucose positron emission tomography-computed tomography

Soliter pulmoner nodüllerin F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi ile kantitatif volümetrik metabolik ölçümü

Pages
557–564
Publication Date
2022-09-02
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Maximum metabolic index can also be used fordiscrimination of primary/metastatic malignant lesions.

📌 3 Key Takeaways

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Objective & Hypothesis:Background: This study aims to evaluate the effect of quantitative volumetricmetabolic measurements in F-18 fluorodeoxyglucose positron emission tomographycomputedtomography to distinguish benign and malignant solitary pulmonary nodules.Methods: We retrospectively reviewed 78 patients (56 males; 22 females; mean age61±11.9 years; range, 32 to 82 years) with solitary pulmonary nodules who underwentF-18 fluorodeoxyglucose positron emission tomography-computed tomography.Patients were classified as benign, malignant and metastatic lesions according topathology results.
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Key Findings & Data:For all parameters, cut-offvalues were obtained with receiver operating characteristic analysis.Results: Of 78 lesions, 10 were benign (12.8%), 38 were primary lung carcinoma(48.7%) and 30 were metastatic lung nodules (38.5%).
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Conclusion & Impact:Maximum metabolic index can also be used fordiscrimination of primary/metastatic malignant lesions.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Background: This study aims to evaluate the effect of quantitative volumetricmetabolic measurements in F-18 fluorodeoxyglucose positron emission tomographycomputedtomography to distinguish benign and malignant solitary pulmonary nodules.Methods: We retrospectively reviewed 78 patients (56 males; 22 females; mean age61±11.9 years; range, 32 to 82 years) with solitary pulmonary nodules who underwentF-18 fluorodeoxyglucose positron emission tomography-computed tomography.Patients were classified as benign, malignant and metastatic lesions according topathology results. Metabolic volume, maximum standardized uptake value, meanstandardized uptake value, maximum metabolic index and mean metabolic index weremeasured. Mean, median and standard error values were calculated for each group.Nonparametric tests were used for the comparison of each group. Partial correlationanalysis was used for the relationship between parameters. For all parameters, cut-offvalues were obtained with receiver operating characteristic analysis.Results: Of 78 lesions, 10 were benign (12.8%), 38 were primary lung carcinoma(48.7%) and 30 were metastatic lung nodules (38.5%). There was a significantdifference between benign lesions and primary lung cancer and between primarylung cancer and metastatic groups in all parameters (p<0.05). We determined highlysignificant positive correlation between maximum standardized uptake value andmaximum metabolic index (r=0.73; p<0.05), and moderate positive correlationbetween mean standardized uptake value and mean metabolic index (r=0.56;p<0.05). In receiver operating characteristic analysis, maximum standardizeduptake value and mean standardized uptake value were found to be the mostsensitive and specific methods for benign/malignant discrimination. In the cut-offvalue=2.59, the sensitivity and specificity for maximum standardized uptake valuewere 98.0% and 91.7%, respectively. In the cut-off value=1.65, the sensitivity andspecificity for mean standardized uptake value were 94.0% and 91.7%, respectively.Conclusion: Maximum metabolic index value is highly correlated with maximumstandardized uptake value in benign/malignant solitary pulmonary nodulesdiscrimination by F-18 fluorodeoxyglucose positron emission tomographycomputedtomography. Maximum metabolic index can also be used fordiscrimination of primary/metastatic malignant lesions.

Özet

Amaç: Bu çalışmada benign ve malign soliter pulmoner nodülleri ayırmak için F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografide kantitatif volümetrik metabolik ölçümlerin etkisi değerlendirildi. Çalışma planı: F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi uygulanan, soliter pulmoner nodülleri olan 78 hasta (56 erkek; 22 kadın; ort. yaş 61±11.9 yıl; dağılım, 32-82 yıl) retrospektif olarak değerlendirildi. Hastalar patoloji sonuçlarına göre benign, malign ve metastatik lezyonlar olarak sınıflandırıldı. Metabolik volüm, maksimum standardize tutulum değeri, ortalama standardize tutulum değeri, maksimum metabolik indeks ve ortalama metabolik indeks ölçüldü. Her grup için ortalama, ortanca ve standart hata değerleri hesaplandı. Her grubun karşılaştırılması için nonparametrik testler kullanıldı. Parametrelerin arasındaki ilişki için parsiyel korelasyon analizi kullanıldı. Tüm parametreler için sınır değerler alıcı işletim karakteristik analizi ile elde edildi. Bulgular: Yetmiş sekiz lezyonun 10’u benign (%12.8), 38’i primer akciğer karsinomu (%48.7) ve 30’u metastatik akciğer nodülü (%38.5) idi. Tüm parametrelerde benign lezyonlar ile primer akciğer kanseri arasında ve primer akciğer kanseri ve metastatik gruplar arasında anlamlı farklılık vardı (p<0.05). Maksimum standardize tutulum değeri ve maksimum metabolik indeks arasında anlamlı pozitif ilişki (r=0.73; p<0.05), ortalama standardize tutulum değeri ve ortalama metabolik indeks arasında orta pozitif ilişki (r=0.56; p<0.05) saptandı. Alıcı işletim karakteristik analizinde, maksimum standardize tutulum değeri ve ortalama standardize tutulum değerinin benign/malign ayrımında en hassas ve özgül yöntemler olduğu bulundu. Sınır değer=2.59 iken maksimum standardize tutulum değeri için duyarlılık ve özgüllük sırasıyla %98.0 ve %91.7 idi. Sınır değer=1.65 iken ortalama standardize tutulum değeri için duyarlılık ve özgüllük sırasıyla %94.0 ve %91.7 idi. Sonuç: Maksimum metabolik indeks değeri F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi ile benign/malign soliter pulmoner nodüllerin ayrımında maksimum standardize tutulum değeri ile yüksek derecede ilişkilidir. Maksimum metabolik indeks primer/metastatik malign lezyonların ayrımında da kullanılabilir.

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Cite This Article

ŞENGÖZ, T., BİR, F., YÜKSEL, D., YAYLALI, O., ARSLAN, H. (2022). Quantitative volumetric metabolic measurement of solitary pulmonary nodules by F-18 fluorodeoxyglucose positron emission tomography-computed tomography. Türk Göğüs Kalp Damar Cerrahisi Dergisi, Cilt: 27 - Sayı: 4, 557–564. https://ajindex.com/articles/423732

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References (16)

  1. Ost D, Fein AM, Feinsilver SH. Clinical practice. The solitary pulmonary nodule. N Engl J Med 2003;348:2535-42
  2. Higgins GA, Shields TW, Keehn RJ. The solitary pulmonary nodule. Ten-year follow-up of veterans administration-armed forces cooperative study. Arch Surg 1975;110:570-5
  3. Fischer BM, Mortensen J, Højgaard L. Positron emission tomography in the diagnosis and staging of lung cancer: a systematic, quantitative review. Lancet Oncol 2001;2:659-66
  4. Warburg O. On the origin of cancer cells. Science 1956;123:309-14
  5. Kim SK, Allen-Auerbach M, Goldin J, Fueger BJ, Dahlbom M, Brown M, et al. Accuracy of PET/CT in characterization of solitary pulmonary lesions. J Nucl Med 2007;48:214-20
  6. Gould MK, Maclean CC, Kuschner WG, Rydzak CE, Owens DK. Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis. JAMA 2001;285:914-24
  7. Patz EF Jr, Lowe VJ, Hoffman JM, Paine SS, Burrowes P, Coleman RE, et al. Focal pulmonary abnormalities: evaluation with F-18 fluorodeoxyglucose PET scanning. Radiology 1993;188:487-90
  8. Lowe VJ, Fletcher JW, Gobar L, Lawson M, Kirchner P, Valk P, et al. Prospective investigation of positron emission tomography in lung nodules. J Clin Oncol 1998;16:1075-84
  9. Aquino SL, Halpern EF, Kuester LB, Fischman AJ. FDGPET and CT features of non-small cell lung cancer based on tumor type. Int J Mol Med 2007;19:495-9
  10. Moon SH, Hyun SH, Choi JY. Prognostic significance of volume-based PET parameters in cancer patients. Korean J Radiol 2013;14:1-12
  11. Xie P, Yue JB, Zhao HX, Sun XD, Kong L, Fu Z, et al. Prognostic value of 18F-FDG PET-CT metabolic index for nasopharyngeal carcinoma. J Cancer Res Clin Oncol 2010;136:883-9
  12. Allal AS, Slosman DO, Kebdani T, Allaoua M, Lehmann W, Dulguerov P. Prediction of outcome in head-and-neck cancer patients using the standardized uptake value of 2-[18F] fluoro-2-deoxy-D-glucose. Int J Radiat Oncol Biol Phys 2004;59:1295-300
  13. Zhao L, Tong L, Lin J, Tang K, Zheng S, Li W, et al. Characterization of solitary pulmonary nodules with 18FFDG PET/CT relative activity distribution analysis. Eur Radiol 2015;25:1837-44
  14. Yilmaz F, Tastekin G. Sensitivity of (18)F-FDG PET in evaluation of solitary pulmonary nodules. Int J Clin Exp Med 2015;8:45-51
  15. Sim YT, Goh YG, Dempsey MF, Han S, Poon FW. PET-CT evaluation of solitary pulmonary nodules: correlation with maximum standardized uptake value and pathology. Lung 2013;191:625-32
  16. Sim YT