Evaluation of abnormal Chest X-rays for hemodialysis patients

Authors

  • Marwan M M El marmuri Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author
  • Maryem M. HemairAlswehly Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author
  • Rajab M. Ben yousef Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author
  • Hanadi Almakter Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author
  • Salsabil Algwail Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author
  • Saja Albalaze Diagnostic and Therapeutic Radiology Department, Faculty of Medical Technology, University of Zawia, Libya Author

DOI:

https://doi.org/10.54361/ljmr.v17i2.02

Keywords:

Chest x-ray, pulmonary edema, hemodialysis, Chronic kidney disease

Abstract

Background: A chest x-ray is the most practical way to evaluate lung disease. There are different degrees of pulmonary abnormalities in hemodialysis patients. The diagnosis of pulmonary disease in hemodialysis patients can be challenging due to the complex findings and multiple manifestations. Objective: This study aimed to identify and evaluate the accuracy and consistency of chest radiographs in the diagnosis of pulmonary abnormalities in hemodialysis patients, Also highlight the limitations of CXR for diagnoses. Materials and methods: We collected and reviewed chest radiographs of 60 hemodialysis patients with various pulmonary manifestations. Two experienced radiologists independently interpreted CXR uptake to diagnose pulmonary disease. The degree of incompatibility among radiologists was assessed using SPSS statistical analysis (chi-square test).Results: The two radiologists showed slight agreement in pneumonia (29.6%), pleural effusion (28.6%), pulmonary edema  (25.0%) and cardiomegaly (20.0%). Where the level of disagreement between radiologists 1 and 2 was in cardiomegaly (80.0%), pulmonary edema (75.0%)  ),  pneumonia  (70.4%) and pleural effusion (71.4 %). The total level of agreement was 31.7% and 63.3% disagreement. This result indicates that there is a significant difference in terms of diagnosis (X2 = 8.067,  p-value <0.05).Conclusion: The chest X-ray upon admission is limited in accurately diagnosing pulmonary abnormalities in hemodialysis patients, primarily due to the presence of multiple diseases in the same patient and the increased occurrence of pulmonary edema in these patients. This poses a challenge to diagnosis without clinical data or the utilization of other imaging techniques.

References

Widiastuti, Ratih Tri, Kusuma Dewi, Bhisma Murti, Ervina Ruth. The Correlation between Disease Stage and Pulmonary Edema Assessed With Chest X-Ray in Chronic Kidney Disease Patients. Imaging Med. (2021) 13(1).

DAN L, HOBBS. Chest Radiography for Radiologic Technologists. July/August 2007, Vol. 78/No. 6.

Yookyung Kim, Sung Shine Shim, Jung Hee Shin, Gyu Bock Choi.Variable Pulmonary Manifestations in Hemodialysis Patient . J Korean Radiol Soc 2003;49:89-97. DOI: https://doi.org/10.3348/jkrs.2003.49.2.89

Venkatesh Moger, Arun B S , Suresh H, Sagar Reddy S L . A study of respiratory manifestations in chronic kidney disease. International Journal of Biomedical Research 2017; 8(02): 70-74.

Eric Judd , Mustafa I. Ahmed , James C. Harms , Nina L. Terry. Pneumonia in hemodialysis patients: a challenging diagnosis in The emergency room . J Nephrol. 2013 ; 26(6): 1128–1135. Doi:10.5301/jn.5000296. DOI: https://doi.org/10.5301/jn.5000296

Wilfred Peh, Wong Siew Kune, Leonie Munro, William Rae, Fei Ling Thoo, Lai Peng Chan. Pattern recognition in diagnostic imaging.

Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. arXiv:1711.05225v3 [cs.CV] 25 Dec 2017.

Stephen M. Ellis, Christopher Flower ; editors: Harald Ostensen, Holger Pettersson . The WHO manual of diagnostic imaging : radiographic anatomy and interpretation of the chest and the pulmonary system.

Souvik Ray , subhasis Mukherjee, Joydeep Ganguly, Kumar Abhishek .A cross-sectional prospective study of pleural effusion among cases of chronic kidney disease. 2013-Oct-Dec;55(4):209-13. DOI: https://doi.org/10.5005/ijcdas-55-4-209

Gülfidan Uzan , Hande İkitimur . Pleural Effusion in End Stage Renal Failure Patients.

Salem Saeed Alghamdia, Ikhlas Abdelaziza, Mesbah Albadria, Samaher Alyanbaawia , Rowa Aljondia . Study of cardiomegaly using chest x-ray. 2020, VOL. 13, NO. 1, 460–467. DOI: https://doi.org/10.1080/16878507.2020.1756187

Pradiba Amadita, Hendri Priyadi, Priatna. Correlation of Chronic Kidney Disease with Cardiomegaly Imaging in Postero anterior Chest X-ray. Copyright © 2021. DOI: https://doi.org/10.2991/ahsr.k.210723.028

Downloads

Published

31-12-2023

Issue

Section

Articles

How to Cite

1.
M M El marmuri M, M. HemairAlswehly M, M. Ben yousef R, Almakter H, Algwail S, Albalaze S. Evaluation of abnormal Chest X-rays for hemodialysis patients. LJMR [Internet]. 2023 Dec. 31 [cited 2024 Nov. 21];17(2):8-16. Available from: https://ljmr.ly/index.php/ljmr/article/view/79