Korelasi Radiologis-Patologis pada Adenokarsinoma Paru: Tinjauan Sistematis

Authors

  • Nanda Robby Setyawan Rumah Sakit Umum Wajak Husada

DOI:

https://doi.org/10.59680/medika.v4i1.2197

Keywords:

Computed Tomography, CT Imaging, Lesion Size, Lung Adenocarcinoma, Pathology

Abstract

Lung adenocarcinoma is the most common histological subtype of lung cancer and demonstrates substantial heterogeneity in both radiological and pathological features, posing challenges in noninvasive assessment of tumor invasiveness. Computed tomography (CT) plays a central role in the evaluation of pulmonary lesions; however, the correlation between radiological characteristics and pathological findings in lung adenocarcinoma requires systematic evaluation. This study aimed to analyze radiologic–pathologic correlations in lung adenocarcinoma and to assess the potential of CT imaging features in predicting tumor invasiveness. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, including observational studies and clinical trials published within the last decade. Literature searches were performed using PubMed, ScienceDirect, and SpringerLink databases, yielding ten retrospective studies that met the inclusion criteria and were analyzed descriptively. The results demonstrated that ground-glass opacity was the predominant radiological feature of lung adenocarcinoma, while an increased proportion of solid components was consistently associated with higher pathological invasiveness. Additional CT features correlated with invasive adenocarcinoma included larger lesion size, irregular margins, lobulation, air bronchogram, vascular invasion, and pleural tags. A higher proportion of ground-glass opacity was also associated with the presence of epidermal growth factor receptor mutations. In conclusion, CT imaging shows a meaningful correlation with pathological findings and serves as a valuable noninvasive tool for early risk stratification of lung adenocarcinoma; however, it cannot replace histopathological examination as the diagnostic gold standard.

References

Aherne, E. A., Plodkowski, A. J., Montecalvo, J., Hayan, S., Zheng, J., Capanu, M., Adusumilli, P. S., Travis, W. D., & Ginsberg, M. S. (2018). Lung cancer: What CT characteristics of lepidic predominant pattern lung adenocarcinomas correlate with invasiveness on pathology? Lung Cancer, 118(1), 83–89. https://doi.org/10.1016/j.lungcan.2018.01.013

Ambrosi, F., Lissenberg-Witte, B., Comans, E., Sprengers, R., Dickhoff, C., & Bahce, I. (2020). Tumor atelectasis gives rise to a solid appearance in pulmonary adenocarcinomas on high-resolution computed tomography. JTO Clinical and Research Reports, 1(2), 100018. https://doi.org/10.1016/j.jtocrr.2020.100018

Dai, J., Shi, J., Soodeen-Lalloo, A. K., Zhang, P., Yang, Y., Wu, C., Jiang, S., Jia, X., Fei, K., & Jianga, G. (2016). Air bronchogram: A potential indicator of epidermal growth factor receptor mutation in pulmonary subsolid nodules. Lung Cancer, 98, 22–28. https://doi.org/10.1016/j.lungcan.2016.05.009

Fu, J., Wan, Y., Huang, T., & Wu, C. (2018). Correlation between image characteristics and pathologic findings in non-small cell lung cancer patients after anatomic resection. PLOS ONE, 13(10), e0206386. https://doi.org/10.1371/journal.pone.0206386

Hattori, A., Matsunaga, K., Takamochi, K., Oh, S., Suzuki, K., & Ohde, S. (2017). Radiologic-pathologic correlation of small lung adenocarcinoma: Prognostic impact of solid component size on thin-section computed tomography. Lung Cancer, 104, 45–52.

Hong, S. J., Kim, T. J., Choi, Y. W., & Park, J. (2016). Radiogenomic correlation in lung adenocarcinoma with epidermal growth factor receptor mutations: Imaging features and histological subtypes. European Radiology, 26(10), 3660–3668. https://doi.org/10.1007/s00330-015-4196-z

Katsumata, S., Aokage, K., Nakasone, S., Sakai, T., Okada, S., Miyoshi, T., Tane, K., Hayashi, R., Ishii, G., & Tsuboi, M. (2018). Radiological criteria in predicting pathological less-invasive lung cancer according to the TNM 8th edition. Clinical Lung Cancer, 20(2), 163–170. https://doi.org/10.1016/j.cllc.2018.11.001

Koezuka, S., Mikami, T., Tochigi, N., Sano, A., & Azuma, Y. (2019). Lung cancer: Toward improving prognosis prediction in patients undergoing small lung adenocarcinoma resection: Radiological and pathological assessment of diversity and intratumor heterogeneity. Lung Cancer, 135(6), 40–46. https://doi.org/10.1016/j.lungcan.2019.06.023

Roberts, J. M., Greenlaw, K., English, J. C., Mayo, J. R., & Sedlic, A. (2020). Radiological-pathological correlation of subsolid pulmonary nodules: A single center retrospective evaluation of the 2011 IASLC adenocarcinoma classification system. Lung Cancer, 147, 39–44. https://doi.org/10.1016/j.lungcan.2020.06.031

Safari, S., Baratloo, A., Elfil, M., & Negida, A. (2016). Evidence based emergency medicine; part 5: Receiver operating curve and area under the curve. Emergency, 4(2), 111–113.

Travis, W. D., Brambilla, E., Burke, A. P., Marx, A., & Nicholson, A. G. (2015). WHO classification of tumours of the lung, pleura, thymus and heart (4th ed.). International Agency for Research on Cancer (IARC).

Yanagawa, M., Kusumoto, M., Johkoh, T., Noguchi, M., Minami, Y., Sakai, F., Asamura, H., & Tomiyama, N. (2018). Radiologic-pathologic correlation of solid portions on thin-section CT images in lung adenocarcinoma: A multicenter study. Clinical Lung Cancer, 19(3), 303–312. https://doi.org/10.1016/j.cllc.2017.12.005

Yanardag, H., Tetikkurt, C., Papila, C., Bilir, M., & Tetikkurt, S. (2020). Correlation of clinical, radiologic and pathologic manifestations with prognosis in lung cancer patients. Archives of Pulmonology and Respiratory Care, 6, 1–6. https://doi.org/10.17352/aprc.000040

Yip, R., Yankelevitz, J., Hu, D., Li, M., Xu, D., & Henschke, C. I. (2016). Lung adenocarcinoma: Correlation of histologic subtype with imaging features on CT. Radiology, 279(2), 560–569.

Yue, J., Chen, J., Zhou, F., Hu, Y., Li, M., Wu, Q., & Han, D. (2018). CT-pathologic correlation in lung adenocarcinoma and squamous cell carcinoma. Medicine (Baltimore), 97(50), e13362. https://doi.org/10.1097/MD.0000000000013362

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Published

2026-02-02

How to Cite

Nanda Robby Setyawan. (2026). Korelasi Radiologis-Patologis pada Adenokarsinoma Paru: Tinjauan Sistematis. Jurnal Medika Nusantara, 4(1), 97–105. https://doi.org/10.59680/medika.v4i1.2197

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