Journals / Toraks Dergisi / 2003 / Cilt: 4 - Sayı: 1

Contribution of thorax computed tomography to differential diagnosis in cavitating pulmonary diseases

Kaviter akciğer hastalıklarında toraks bilgisayarlı tomografisinin ayırıcı tanıya katkısı

Pages
43–47
DOI
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AI Summary & Key Takeaways

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

In conclusion, the wall thickness, outer margins, contents, secondary findings and satellite lesions of the cavitation help in differentiation of TB, cancer and abscess cavitations, and consistency of radiological diagnosis by thorax CT with true diagnosis was between 87.8% and 100%.

📌 3 Key Takeaways

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Objective & Hypothesis:Thorax computed tomography (CT) obviously clarifies characteristics of pulmonary cavitations.
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Key Findings & Data:Cases with active pulmonary tuberculosis (TB), pulmonary abscess and lung cancer were 92% of all cases.
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Conclusion & Impact:In conclusion, the wall thickness, outer margins, contents, secondary findings and satellite lesions of the cavitation help in differentiation of TB, cancer and abscess cavitations, and consistency of radiological diagnosis by thorax CT with true diagnosis was between 87.8% and 100%.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Akciğer hastalıkları · Tüberküloz · Tomografi

Abstract

Thorax computed tomography (CT) obviously clarifies characteristics of pulmonary cavitations. In this study, the contribution of thorax CT alone to diagnosis was searched prospectively in pulmonary diseases causing cavitation. Hundred cases with cavitations that were determined on thorax CT were included. The characteristic properties of cavitations were evaluated by a radiologist. Cases with active pulmonary tuberculosis (TB), pulmonary abscess and lung cancer were 92% of all cases. It was observed that mean smallest diameter was in TB cavitations and mean largest diameter was in cancer cavitations. In all three disease groups, the diameter of cavitation was not statistically different (p=0.098). In cancer cavitations the wall thickness was increased (p=0.000) and the wall was non-uniform (p=0.044), and secondary findings were significantly more (p=0.037). The outer margins of cancer and abscess cavitations were found to be irregular differing from TB cavitations (p=0.002). There were satellite lesions around all TB cavitations (p=0.001). Air-fluid content was frequently seen in cancer and abscess groups (p=0.006). For cases where the radiologist made one, two or three estimates the probability of these predictions to be consistent with the true diagnosis was 89.4%, 87.8%, and 100% respectively (p=0.45). In conclusion, the wall thickness, outer margins, contents, secondary findings and satellite lesions of the cavitation help in differentiation of TB, cancer and abscess cavitations, and consistency of radiological diagnosis by thorax CT with true diagnosis was between 87.8% and 100%.

Özet

Toraks bilgisayarlı tomografisi (BT) akciğerdeki kavitelerin niteliklerini ayrıntılı şekilde belirlemektedir. Çalışmada kavite ile seyreden akciğer hastalıklarında toraks BT'nin tek başına tanıya katkısı ileriye yönelik olarak araştırıldı. Toraks BT'de kavite saptanan toplam 100 olgu çalışmaya alındı. Bir radyolog tarafından kavitelerin karakteristik özellikleri değerlendirildi. Aktif akciğer tüberkülozu (TB), akciğer apsesi ve akciğer kanseri tanılı olgular, tüm olguların %92'sini oluşturdu. En küçük ortalama çap TB kavitelerinde, en büyük ortalama çap kanser kavitelerinde izlendi. Her üç tanı grubunda kavite çapı istatistiksel farklılık göstermedi (p=0.098). Kanser kavitelerinde duvar kalınlığı artmıştı (p=0.000) ve tümünde nonüniformdu (p=0.044); sekonder bulgular önemli ölçüde fazlaydı (p=0.037). Kanser ve apse kavite cidarları TB kavitelerinden farklı olarak düzensiz bulundu (p=0.002). Tüm TB kavitelerinin çevresinde satelit lezyonlar vardı (p=0.001). Kavitede hava-sıvı içeriği kanser ve apse grubunda daha fazla görüldü (p=0.006). Radyoloğun bir, iki veya üç tanı tahmininde bulunduğu olgularda gerçek tanı ile uyum oranları sırasıyla %89.4, %87.8 ve %100 olarak bulundu (p=0.45). Sonuç olarak, kavitenin duvar kalınlığı, cidarı, içeriği, sekonder bulgu ve satelit lezyonlar TB, kanser ve apse kavitelerinin ayrımında büyük ölçüde yardımcı olmakta, toraks BT ile radyolojik tanı ve gerçek tanı uyumu %87.8 ve %100 arasında değişmektedir.

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Cite This Article

ERBAYCU, A. E., AKSEL, N., ÇAKAN, A., ÖZSÖZ, A., SOY, Ö. (2003). Contribution of thorax computed tomography to differential diagnosis in cavitating pulmonary diseases. Toraks Dergisi, Cilt: 4 - Sayı: 1, 43–47. https://ajindex.com/articles/368138

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