Journals / Ankara Üniversitesi Tıp Fakültesi Mecmuası / 2019 / Cilt: 72 - Sayı: 3

Correlation of Computed Tomography Findings with Histopathology in Small Lung Adenocancer

Küçük Akciğer Adenokanserlerinin Çok Kesitli Bilgisayarlı Tomografi Bulguları ile Histopatolojik Bulgularının Karşılaştırılması

Pages
284–290
Publication Date
2022-10-10
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

But greater study populations are needed for further confirmation

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: To analyse the correlation between computed tomography (CT) features and histopathological findings of small lung adenocancers using the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification of Lung Adenocancer.
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Key Findings & Data:Materials and Methods: A retrospective review of 34 nodules (size ≤2 cm) representing lung adenocancer was performed.
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Conclusion & Impact:But greater study populations are needed for further confirmation
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objectives: To analyse the correlation between computed tomography (CT) features and histopathological findings of small lung adenocancers using the International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society Classification of Lung Adenocancer. Materials and Methods: A retrospective review of 34 nodules (size ≤2 cm) representing lung adenocancer was performed. Besides their attenuation type (solid, mixed, pure ground glass), tumours were defined as air-containing type if their vanishing ratio was ≥%50 and as solid-density type if the vanishing ratio was 0.05). Conclusion: Invasive adenocancer and NMIA lesions can be differentiated by their CT features. But greater study populations are needed for further confirmation

Özet

Amaç: Bu çalışmada küçük akciğer adenokanserlerinin bilgisayarlı tomografi (BT) bulguları ile histopatolojik bulguları, Uluslararası Akciğer KanseriniAraştırma Derneği, Amerikan Toraks Derneği ve Avrupa Solunum Derneği’nin sınıflaması esas alınarak karşılaştırılmıştır.Gereç ve Yöntem: Akciğer adenokanser tanısı alan 34 nodül (≤2 cm) retrospektif olarak tarandı. Attenüasyon tiplerinin (solid, mikst, saf buzlu cam)yanı sıra, kaybolma oranları ≥%50 olan tümörler hava-içerikli tip, kaybolma oranları 0,05).Sonuç: Çalışmamızda BT bulguları ile invazif adenokanserlerin NMİA grubu lezyonlardan ayrılabileceği görülmüştür. Ancak bu sonuçların daha genişhasta popülasyonunu kapsayan çalışmalar ile teyit edilmesi gerekmektedir.

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Cite This Article

KUL, M., ATASOY, K. Ç. (2022). Correlation of Computed Tomography Findings with Histopathology in Small Lung Adenocancer. Ankara Üniversitesi Tıp Fakültesi Mecmuası, Cilt: 72 - Sayı: 3, 284–290. https://ajindex.com/articles/443570

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References (14)

  1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2015. CA Cancer J CLIN. 2015;65:5-29
  2. Travis WD, Brambilla E, Noguchi M, et al. International Association for the Study of Lung Cancer /American Thoracic Society/European Respiratory Society of Lung Adenocarcinoma. J Thoracic Oncol. 2011;6:244-285
  3. Travis WD, Brambilla E, Müller-Hermelink HK, et al. World Health Organization Classification of Tumours. Pathology and Genetics ofTumours of the Lung, Pleura, Thymus and Heart. Lyon: IARC Press. 2004:11-127
  4. Yoshino I, Nakanishi R, Kodate M, et al. Pleural retraction and intratumoral air-bronchogram as prognostic factors for stage I pulmonary adenocarcinoma following complete resection. Int Surg. 2000;85:105-112
  5. Colby TV, Koss M, Travis WD. Tumors of the Lower Respiratory Tract. Washington, DC. Armed Forces Institute of Pathology 3rd ed., 1995
  6. Suzuki K, Asamura H, Kusumoto M et al. “Early” peripheral lung cancer: prognostic significance of ground glass opacity on thin-section computed tomographic scan. Ann Thorac Surg. 2002;74:1635-1639
  7. Aoki T, Tomoda Y, Watanabe H, et al. Peripheral lung adenocarcinoma: Correlation of thin-section CT findings with histologic prognostic factors and survival. Radiology. 2001;220:803-809
  8. Akira M, Atagi S, Kawahara M, et al. High-resolution CT findings of diffuse bronchioloalveolar carcinoma in 38 patients. Am J Roentgenol. 1999;173:1623-1629
  9. Saito H, Yamada K, Hamanaka N, et al. Initial findings and progression of lung adenocarcinoma on serial computed tomography scans. J Comput Assist Tomogr. 2009;33:42-48
  10. Ishikawa H, Koizumi N, Morita T, et al. Ultrasmall pulmonary opacities on multidetector-row high-resolution computed tomography: a prospective radiologic-pathologic examination. J Comput Assist Tomogr. 2005;29:621- 625
  11. Ikeda K, Awai K, Mori T, et al. Differential diagnosis of ground-glass opacity nodules: CT number analysis by three-dimensional computerized quantification. Chest. 2007;132:984-990
  12. Choi JA, Kim JH, Hong KT, et al. CT bronchus sign in malignant solitary pulmonary lesions: value in the prediction of cell type. Eur Radiol. 2000;10:1304-1309
  13. Takashima S, Maruyama Y, Hasegawa M, et al. CT findings and progression of small peripheral lung neoplasms having a replacement growth pattern. AJR Am J Roentgenol. 2003;180:817-826
  14. Gould MK, Fletcher J, Iannettoni MD, et al. American College of Chest Physicians. Evaluation of patients with pulmonary nodules: when is it lung