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Küçük Hücre Dışı Akciğer Kanserli Hastalarda FDG PET/BT Parametrelerinin Evre Ve Patolojik Veriler İle İlişkisi

Year 2024, Volume: 6 Issue: 1, 63 - 70, 26.02.2024
https://doi.org/10.52827/hititmedj.1373286

Abstract

Amaç: Akciğer kanserli hastaların pozitron emisyon tomografisi/bilgisayarlı tomografisi (PET/BT) görüntülerinden elde edilen primer lezyonun maksimum standartlaştırılmış alım değeri (SUVmax), SUVmean, metabolik tümör hacmi (MTV) ve total lezyon glikolizi (TLG) değerlerinin hastalık evresi ve patolojik verilerle ilişkisinin incelenmesi amaçlanmıştır.
Gereç ve Yöntemler: Tıp Fakültesi Nükleer Tıp Anabilim Dalında 2020-2023 tarihleri arasında akciğer kanseri tanısı ve evreleme amacıyla PET/BT görüntülemesi yapılan, histopatolojik olarak akciğer kanseri tanısı olan toplam 81 hasta çalışmaya alındı. Hastaların PET/BT görüntülerinden elde edilen primer lezyonun, SUVmax, SUVmean, MTV ve TLG değerleri ile patolojik veriler not edildi. Küçük hücre dışı akciğer kanseri (KHDAK) tanısı alan hastaların PET/BT görüntüleri kullanılarak patolojik veriler eşliğinde TNM evreleme sistemine göre evrelendirildi. Veriler SPSS 20.0 programı ile analiz edildi.
Bulgular: Çalışmaya alınan 66 erkek ve 15 kadın toplam 81 hastanın ortalama yaşı 60±10 (26-78) olarak hesaplanmıştır. Bu çalışmada, KHDAK tanılı hastalar evreleme PET/BT’nin yarı-kantitatif SUVmax, SUVmean, MTV ve TLG değerleri ile ilişkisi analiz edildi. Yaptığımız araştırmaya göre, plevral invazyon, lenf nodu metastazı, tümör çapı ve TNM evre ile SUVmax, SUVmean, MTV ve TLG değerlerinde istatistiksel olarak anlamlı farklılıklar olduğu görüldü(P<0,05).
Sonuç: Sonuç olarak kısıtlı hasta ile yaptığımız bu çalışmanın SUVmax, SUVmean, MTV ve TLG’nin KHDAK hastalarının sınıflandırılmasında ve tümörün agresifliğinin belirlenmesinde belirgin bir öneme sahiptir. Bu konuda daha geniş kapsamlı prospektif çok merkezli çalışmalara ihtiyaç vardır.

References

  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin 2020;70(1):7-30.
  • Abughanimeh O, Kaur A, El Osta B, Ganti AK. Novel targeted therapies for advanced non-small lung cancer. Semin Oncol 2022; 1:S0093-7754(22)00024-0.
  • Wang W, Sun Y, Li H, et al. Surgical modality for stage IA non-small cell lung cancer among the elderly: analysis of the Surveillance, Epidemiology, and End Results database. J Thorac Dis 2020;12(11):6731-6742.
  • Farsad M. FDG PET/CT in the Staging of Lung Cancer. Curr Radiopharm 2020;13(3):195-203.
  • Shimizu K, Maeda A, Yukawa T, et al. Difference in prognostic values of maximal standardized uptake value on fluorodeoxyglucose-positron emission tomography and cyclooxygenase-2 expression between lung adenocarcinoma and squamous cell carcinoma. World J Surg Oncol 2014;12:343.
  • Melloni G, Gajate AM, Sestini S, et al. New positron emission tomography derived parameters as predictive factors for recurrence in resected stage I non-small cell lung cancer. Eur J Surg Oncol 2013;39(11):1254-1261.
  • Christensen TN, Andersen PK, Langer SW, Fischer BMB. Prognostic Value of (18)F-FDG-PET Parameters in Patients with Small Cell Lung Cancer: A Meta-Analysis and Review of Current Literature. Diagnostics (Basel) 2021;11(2):174.
  • Moon SH, Hyun SH, Choi JY. Prognostic significance of volume-based PET parameters in cancer patients. Korean J Radiol 2013;14(1):1-12.
  • Mattiuzzi C, Lippi G. Current Cancer Epidemiology. J Epidemiol Glob Health 2019;9(4):217-222.
  • Goldstraw P, Crowley J, Chansky K, et al. The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours. J Thorac Oncol 2007;2(8):706-714.
  • Birim O, Kappetein AP, van Klaveren RJ, Bogers AJ. Prognostic factors in non-small cell lung cancer surgery. Eur J Surg Oncol 2006;32(1):12-23.
  • Miwa K, Inubushi M, Takeuchi Y, et al. Performance characteristics of a novel clustered multi-pinhole technology for simultaneous high-resolution SPECT/PET. Ann Nucl Med 2015;29(5):460-466.
  • Sun Y, Xiao L, Wang Y, et al. Diagnostic value of dynamic (18)F-FDG PET/CT imaging in non-small cell lung cancer and FDG hypermetabolic lymph nodes. Quant Imaging Med Surg 2023;13(4):2556-2567.
  • Hyun SH, Choi JY, Kim K, et al. Volume-Based Parameters of 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Improve Outcome Prediction in Early-Stage Non–Small Cell Lung Cancer After Surgical Resection. Annals of Surgery 2013;257(2):364-370.
  • Chen HHW, Chiu N-T, Su W-C, Guo H-R, Lee B-F. Prognostic Value of Whole-Body Total Lesion Glycolysis at Pretreatment FDG PET/CT in Non–Small Cell Lung Cancer. Radiology 2012;264(2):559-566.
  • Yan H, Wang R, Zhao F, et al. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced non-small cell lung cancer treated by non-surgical therapy. Acta Radiologica 2011;52(6):646-650.
  • Hu WD, Wang HC, Wang YB, Cui LL, Chen XH. Correlation study on 18F-FDG PET/CT metabolic characteristics of primary lesion with clinical stage in lung cancer. Q J Nucl Med Mol Imaging 2021;65(2):172-177.
  • Dooms C, Vansteenkiste J. Prognostic Value of Fluorodeoxyglucose Uptake in Non-small Cell Lung Cancer: Time for Standardization and Validation. J Thorac Oncol 2010;5(5):583-584.
  • Cazaentre T, Morschhauser F, Vermandel M, et al. Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma. Eur J Nucl Med Mol Imaging 2010;37(3):494-504.
  • Sahiner I, Atasever T, Akdemir UO, Ozturk C, Memis L. Relationship between primary lesion metabolic parameters and clinical stage in lung cancer. Rev Esp Med Nucl Imagen Mol 2013;32(6):357-363.
  • Li M, Liu N, Hu M, et al. Relationship between primary tumor fluorodeoxyglucose uptake and nodal or distant metastases at presentation in T1 stage non-small cell lung cancer. Lung Cancer 2009;63(3):383-386.
  • Erol M, Önner H, Taştekin G. Akciğer Kanserli Hastalarda F-18 FDG PET/BT Parametrelerinin Klinik Evre ile İlişkisi. Selcuk Tip Dergisi 2021;1(37):24-31.
  • Türe E, Özmen Ö, Kabalak P, Demiröz Ş, Uğurman F. Opere Küçük Hücreli Dişi Akciğer Kanseri Olgularinda PET-BT’de Ölçülen Volümetrik Parametrelerin Post-Operatif Rekürrens Üzerine Etkisi. TÜSAD Solunum 2021; Ankara, Türkiye2021. p. 128.
  • Lebioda A, Makarewicz R, Malkowski B, Dancewicz M, Kowalewski J, Windorbska W. Measurement of primary tumor volume by PET-CT to evaluate risk of mediastinal nodal involvement in NSCLC patients with clinically negative N2 lymph nodes. Rep Pract Oncol Radiother 2013;18(2):76-81.
  • Park SY, Yoon JK, Park KJ, Lee SJ. Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer. Cancer Imaging 2015;15:21.
  • Kim DH, Song BI, Hong CM, et al. Metabolic parameters using (1)(8)F-FDG PET/CT correlate with occult lymph node metastasis in squamous cell lung carcinoma. Eur J Nucl Med Mol Imaging 2014;41(11):2051-2057.
  • Chang C, Sun X, Zhao W, et al. Minor components of micropapillary and solid subtypes in lung invasive adenocarcinoma (</= 3 cm): PET/CT findings and correlations with lymph node metastasis. Radiol Med 2020;125(3):257-264.
Year 2024, Volume: 6 Issue: 1, 63 - 70, 26.02.2024
https://doi.org/10.52827/hititmedj.1373286

Abstract

References

  • Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin 2020;70(1):7-30.
  • Abughanimeh O, Kaur A, El Osta B, Ganti AK. Novel targeted therapies for advanced non-small lung cancer. Semin Oncol 2022; 1:S0093-7754(22)00024-0.
  • Wang W, Sun Y, Li H, et al. Surgical modality for stage IA non-small cell lung cancer among the elderly: analysis of the Surveillance, Epidemiology, and End Results database. J Thorac Dis 2020;12(11):6731-6742.
  • Farsad M. FDG PET/CT in the Staging of Lung Cancer. Curr Radiopharm 2020;13(3):195-203.
  • Shimizu K, Maeda A, Yukawa T, et al. Difference in prognostic values of maximal standardized uptake value on fluorodeoxyglucose-positron emission tomography and cyclooxygenase-2 expression between lung adenocarcinoma and squamous cell carcinoma. World J Surg Oncol 2014;12:343.
  • Melloni G, Gajate AM, Sestini S, et al. New positron emission tomography derived parameters as predictive factors for recurrence in resected stage I non-small cell lung cancer. Eur J Surg Oncol 2013;39(11):1254-1261.
  • Christensen TN, Andersen PK, Langer SW, Fischer BMB. Prognostic Value of (18)F-FDG-PET Parameters in Patients with Small Cell Lung Cancer: A Meta-Analysis and Review of Current Literature. Diagnostics (Basel) 2021;11(2):174.
  • Moon SH, Hyun SH, Choi JY. Prognostic significance of volume-based PET parameters in cancer patients. Korean J Radiol 2013;14(1):1-12.
  • Mattiuzzi C, Lippi G. Current Cancer Epidemiology. J Epidemiol Glob Health 2019;9(4):217-222.
  • Goldstraw P, Crowley J, Chansky K, et al. The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours. J Thorac Oncol 2007;2(8):706-714.
  • Birim O, Kappetein AP, van Klaveren RJ, Bogers AJ. Prognostic factors in non-small cell lung cancer surgery. Eur J Surg Oncol 2006;32(1):12-23.
  • Miwa K, Inubushi M, Takeuchi Y, et al. Performance characteristics of a novel clustered multi-pinhole technology for simultaneous high-resolution SPECT/PET. Ann Nucl Med 2015;29(5):460-466.
  • Sun Y, Xiao L, Wang Y, et al. Diagnostic value of dynamic (18)F-FDG PET/CT imaging in non-small cell lung cancer and FDG hypermetabolic lymph nodes. Quant Imaging Med Surg 2023;13(4):2556-2567.
  • Hyun SH, Choi JY, Kim K, et al. Volume-Based Parameters of 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Improve Outcome Prediction in Early-Stage Non–Small Cell Lung Cancer After Surgical Resection. Annals of Surgery 2013;257(2):364-370.
  • Chen HHW, Chiu N-T, Su W-C, Guo H-R, Lee B-F. Prognostic Value of Whole-Body Total Lesion Glycolysis at Pretreatment FDG PET/CT in Non–Small Cell Lung Cancer. Radiology 2012;264(2):559-566.
  • Yan H, Wang R, Zhao F, et al. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced non-small cell lung cancer treated by non-surgical therapy. Acta Radiologica 2011;52(6):646-650.
  • Hu WD, Wang HC, Wang YB, Cui LL, Chen XH. Correlation study on 18F-FDG PET/CT metabolic characteristics of primary lesion with clinical stage in lung cancer. Q J Nucl Med Mol Imaging 2021;65(2):172-177.
  • Dooms C, Vansteenkiste J. Prognostic Value of Fluorodeoxyglucose Uptake in Non-small Cell Lung Cancer: Time for Standardization and Validation. J Thorac Oncol 2010;5(5):583-584.
  • Cazaentre T, Morschhauser F, Vermandel M, et al. Pre-therapy 18F-FDG PET quantitative parameters help in predicting the response to radioimmunotherapy in non-Hodgkin lymphoma. Eur J Nucl Med Mol Imaging 2010;37(3):494-504.
  • Sahiner I, Atasever T, Akdemir UO, Ozturk C, Memis L. Relationship between primary lesion metabolic parameters and clinical stage in lung cancer. Rev Esp Med Nucl Imagen Mol 2013;32(6):357-363.
  • Li M, Liu N, Hu M, et al. Relationship between primary tumor fluorodeoxyglucose uptake and nodal or distant metastases at presentation in T1 stage non-small cell lung cancer. Lung Cancer 2009;63(3):383-386.
  • Erol M, Önner H, Taştekin G. Akciğer Kanserli Hastalarda F-18 FDG PET/BT Parametrelerinin Klinik Evre ile İlişkisi. Selcuk Tip Dergisi 2021;1(37):24-31.
  • Türe E, Özmen Ö, Kabalak P, Demiröz Ş, Uğurman F. Opere Küçük Hücreli Dişi Akciğer Kanseri Olgularinda PET-BT’de Ölçülen Volümetrik Parametrelerin Post-Operatif Rekürrens Üzerine Etkisi. TÜSAD Solunum 2021; Ankara, Türkiye2021. p. 128.
  • Lebioda A, Makarewicz R, Malkowski B, Dancewicz M, Kowalewski J, Windorbska W. Measurement of primary tumor volume by PET-CT to evaluate risk of mediastinal nodal involvement in NSCLC patients with clinically negative N2 lymph nodes. Rep Pract Oncol Radiother 2013;18(2):76-81.
  • Park SY, Yoon JK, Park KJ, Lee SJ. Prediction of occult lymph node metastasis using volume-based PET parameters in small-sized peripheral non-small cell lung cancer. Cancer Imaging 2015;15:21.
  • Kim DH, Song BI, Hong CM, et al. Metabolic parameters using (1)(8)F-FDG PET/CT correlate with occult lymph node metastasis in squamous cell lung carcinoma. Eur J Nucl Med Mol Imaging 2014;41(11):2051-2057.
  • Chang C, Sun X, Zhao W, et al. Minor components of micropapillary and solid subtypes in lung invasive adenocarcinoma (</= 3 cm): PET/CT findings and correlations with lymph node metastasis. Radiol Med 2020;125(3):257-264.
There are 27 citations in total.

Details

Primary Language Turkish
Subjects Nuclear Medicine
Journal Section Research Articles
Authors

Adem Maman 0000-0002-7742-1028

Rabia Demirtaş 0000-0001-8743-1847

Publication Date February 26, 2024
Submission Date October 9, 2023
Acceptance Date January 8, 2024
Published in Issue Year 2024 Volume: 6 Issue: 1

Cite

AMA Maman A, Demirtaş R. Küçük Hücre Dışı Akciğer Kanserli Hastalarda FDG PET/BT Parametrelerinin Evre Ve Patolojik Veriler İle İlişkisi. Hitit Medical Journal. February 2024;6(1):63-70. doi:10.52827/hititmedj.1373286