Dtsch Med Wochenschr 2024; 149(20): 1238-1248
DOI: 10.1055/a-2188-8913
CME-Fortbildung

Der Lungenrundherd: Vom Zufallsbefund zur histologischen Diagnosesicherung

The pulmonary nodule: from incidental finding to pathological confirmation
Ayham Daher

Mit der zunehmenden Anzahl von CT-Untersuchungen des Thorax steigt auch die Prävalenz zufällig entdeckter Lungenrundherde. Während das Hauptziel der Abklärung eines inzidentellen Lungenrundherdes darin besteht, die Dignität des Rundherdes zu bestimmen, müssen die Risiken durch unnötige diagnostische Verfahren minimiert werden. Fortschritte und neue Technologien in der Bildgebung sowie bei der histologischen Probengewinnung ermöglichen es, diese Ziele zu erreichen.

Abstract

As the number of CT examinations of the lungs increases, so does the prevalence of incidentally discovered pulmonary nodules. While most lung nodules are benign, the risk of malignancy significantly rises with the presence of risk factors and specific imaging features. Upon encountering an incidental nodule, efforts should focus on achieving an accurate pathological diagnosis, particularly to ascertain malignancy while minimizing the risks associated with unnecessary diagnostic procedures. A comprehensive understanding of the typical characteristics and behavior of malignant lung nodules, along with a detailed patient history and standardized clinical and imaging risk assessment, is crucial for determining the optimal diagnostic approach. Additionally, the decision regarding histologic confirmation should consider the patient's comorbidities, preferences, and the examiner's expertise. Emerging sampling technologies provide methods for addressing peripheral lung nodules with minimal risk of complications.

Kernaussagen
  • Lungenrundherde treten häufig auf, insbesondere im fortgeschrittenen Alter.

  • Die Mehrheit der zufällig gefundenen Lungenrundherde sind benigne.

  • Unter den malignen Rundherden sind langsam wachsende Adenokarzinome die am häufigsten vorkommende Pathologie.

  • Die bevorzugte Methode zur Erst-Evaluation des Malignitätsrisikos und zur Verlaufskontrolle ist die Mehrzeilen-Spiral-CT mit einem Dünnschichtprotokoll (1mm).

  • Das diagnostische Vorgehen bei einem Lungenrundherd sollte individuell auf den Patienten abgestimmt werden.

  • Stabile solide Rundherde über einen Zeitraum von 2 Jahren und subsolide Rundherde über 5 Jahren erfordern keine weitere Diagnostik.



Publication History

Article published online:
23 September 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • Literatur

  • 1 MacMahon H, Naidich DP, Goo JM. et al. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology 2017; 284: 228-243
  • 2 McWilliams A, Tammemagi MC, Mayo JR. et al. Probability of cancer in pulmonary nodules detected on first screening CT. N Engl J Med 2013; 369: 910-919
  • 3 Mazzone PJ, Lam L. Evaluating the Patient With a Pulmonary Nodule: A Review. Jama 2022; 327: 264-273
  • 4 Wyker A, Henderson WW. Solitary Pulmonary Nodule. [Updated 2022 Dec 19]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. 2024 Accessed August 12, 2024 at: https://www.ncbi.nlm.nih.gov/books/NBK556143/
  • 5 Kinsinger LS, Anderson C, Kim J. et al. Implementation of Lung Cancer Screening in the Veterans Health Administration. JAMA Intern Med 2017; 177: 399-406
  • 6 Gould MK, Donington J, Lynch WR. et al. Evaluation of individuals with pulmonary nodules: when is it lung cancer? Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest 2013; 143: e93S-e120S
  • 7 Ost D, Fein AM, Feinsilver SH. Clinical practice. The solitary pulmonary nodule. N Engl J Med 2003; 348: 2535-2542
  • 8 Hoffmann H, Kaaks R, Andreas S. et al. Statement Paper on the Implementation of a National Organized Program in Germany for the Early Detection of Lung Cancer in Risk Populations Using Low-dose CT Screening Including Management of Screening Findings. Zentralbl Chir 2024; 149: 96-115
  • 9 Leitlinienprogramm Onkologie (Deutsche Krebsgesellschaft, Deutsche Krebshilfe, AWMF): S3-Leitlinie Prävention, Diagnostik, Therapie und Nachsorge des Lungenkarzinoms, Langversion 3.0, 2024, AWMF-Registernummer: 020–007OL. Accessed August 12, 2024 at: https://www.leitlinienprogramm-onkologie.de/leitlinien/lungenkarzinom/
  • 10 Gould MK, Ananth L, Barnett PG. A clinical model to estimate the pretest probability of lung cancer in patients with solitary pulmonary nodules. Chest 2007; 131: 383-388
  • 11 Swensen SJ, Jett JR, Hartman TE. et al. CT screening for lung cancer: five-year prospective experience. Radiology 2005; 235: 259-265
  • 12 Sawada S, Yamashita N, Sugimoto R. et al. Long-term Outcomes of Patients With Ground-Glass Opacities Detected Using CT Scanning. Chest 2017; 151: 308-315
  • 13 Kim HY, Shim YM, Lee KS. et al. Persistent pulmonary nodular ground-glass opacity at thin-section CT: histopathologic comparisons. Radiology 2007; 245: 267-275
  • 14 Al-Ajam M, Seymour A, Mooty M. et al. Ten years of disease-free survival between two diagnoses of small-cell lung cancer: a case report and a literature review. Med Oncol 2005; 22: 89-97
  • 15 Hasegawa M, Sone S, Takashima S. et al. Growth rate of small lung cancers detected on mass CT screening. Br J Radiol 2000; 73: 1252-1259
  • 16 Zerhouni EA, Stitik FP, Siegelman SS. et al. CT of the pulmonary nodule: a cooperative study. Radiology 1986; 160: 319-327
  • 17 Balekian AA, Silvestri GA, Simkovich SM. et al. Accuracy of clinicians and models for estimating the probability that a pulmonary nodule is malignant. Ann Am Thorac Soc 2013; 10: 629-635
  • 18 Deppen SA, Blume JD, Kensinger CD. et al. Accuracy of FDG-PET to diagnose lung cancer in areas with infectious lung disease: a meta-analysis. Jama 2014; 312: 1227-1236
  • 19 Nomori H, Watanabe K, Ohtsuka T. et al. Evaluation of F-18 fluorodeoxyglucose (FDG) PET scanning for pulmonary nodules less than 3 cm in diameter, with special reference to the CT images. Lung Cancer 2004; 45: 19-27
  • 20 Patz EF, Campa MJ, Gottlin EB. et al. Biomarkers to help guide management of patients with pulmonary nodules. Am J Respir Crit Care Med 2013; 188: 461-465
  • 21 Tao R, Cao W, Zhu F. et al. Liquid biopsies to distinguish malignant from benign pulmonary nodules. Thorac Cancer 2021; 12: 1647-1655
  • 22 Ost DE, Ernst A, Lei X. et al. Diagnostic Yield and Complications of Bronchoscopy for Peripheral Lung Lesions. Results of the AQuIRE Registry. Am J Respir Crit Care Med 2016; 193: 68-77
  • 23 Ohno Y, Hatabu H, Takenaka D. et al. CT-guided transthoracic needle aspiration biopsy of small (< or = 20 mm) solitary pulmonary nodules. AJR Am J Roentgenol 2003; 180: 1665-1669
  • 24 Zhao Y, Wang X, Wang Y. et al. Logistic regression analysis and a risk prediction model of pneumothorax after CT-guided needle biopsy. J Thorac Dis 2017; 9: 4750-4757