Computed Tomography Patterns of Pneumocystis jirovecii Pneumonia According to Immune Status

Background: Pneumocystis jirovecii pneumonia (PJP) increasingly affects non-HIV immunocompromised patients; however, the spectrum of computed tomography (CT) findings in this population remains poorly defined. Objectives: To describe and compare chest CT findings of PJP in patients with and without HIV infection and to evaluate the impact of respiratory coinfections on imaging patterns. Methods: This retrospective single-centre cohort study included 72 adult patients with confirmed PJP diagnosed between 2011 and 2024, 27 HIV-positive and 45 non-HIV immunocompromised patients. Chest radiography was available in 71 patients and chest CT in 62. Imaging studies were independently reviewed for predefined patterns, including ground-glass opacities, alveolo-interstitial pattern, mosaic attenuation, crazy paving, pulmonary cysts, consolidation, and pleural effusion. CT findings were compared between HIV-positive and non-HIV patients, and a subgroup analysis was performed in non-HIV patients according to the underlying type of immunosuppression. Respiratory coinfections were recorded and classified based on microbiological results. Results: Chest radiography was normal in 32.4% of patients. An interstitial pattern tended to be more frequent in HIV-positive patients, whereas consolidations were more commonly observed in non-HIV patients (p = 0.051). On CT, ground-glass opacities were the predominant finding in both groups. HIV-positive patients more frequently demostrated an alveolo-interstitial pattern, mosaic attenuation, and pulmonary cysts, while consolidations and pleural effusions were more common in non-HIV patients, particularly among solid organ transplant recipients. Respiratory coinfections were identified in 63.9% of patients; however, no statistically significant differences in CT patterns were observed between patients with and without coinfections. Conclusions: PJP demonstrates different CT presentations according to immune status. HIV-positive patients more frequently demonstrated alveolo-interstitial patterns, mosaic attenuation, and pulmonary cysts, whereas consolidations were more commonly observed in non-HIV immunocompromised patients. Respiratory coinfections do not appear to significantly influence CT patterns.

Authors

Institutions

Publication Details

Journal
Diagnostics
Published
2026-05-22
DOI
https://doi.org/10.3390/diagnostics16111593
Primary Topic
Pneumocystis jirovecii pneumonia detection and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computed Tomography Patterns of Pneumocystis jirovecii Pneumonia According to Immune Status

Javier Pardo‐Lledías, José Antonio Parra-Blanco, Javier Infante-Armisen, Moncef Belhassen-García et al.
Diagnostics
Pneumocystis jirovecii pneumonia detection and treatment
article

Computed Tomography Patterns of Pneumocystis jirovecii Pneumonia According to Immune Status

Javier Pardo‐Lledías, José Antonio Parra-Blanco, Javier Infante-Armisen, Moncef Belhassen-García, Pilar Cifrián-Casuso, Raúl Parra-Fariñas
article en

Abstract

Background: Pneumocystis jirovecii pneumonia (PJP) increasingly affects non-HIV immunocompromised patients; however, the spectrum of computed tomography (CT) findings in this population remains poorly defined. Objectives: To describe and compare chest CT findings of PJP in patients with and without HIV infection and to evaluate the impact of respiratory coinfections on imaging patterns. Methods: This retrospective single-centre cohort study included 72 adult patients with confirmed PJP diagnosed between 2011 and 2024, 27 HIV-positive and 45 non-HIV immunocompromised patients. Chest radiography was available in 71 patients and chest CT in 62. Imaging studies were independently reviewed for predefined patterns, including ground-glass opacities, alveolo-interstitial pattern, mosaic attenuation, crazy paving, pulmonary cysts, consolidation, and pleural effusion. CT findings were compared between HIV-positive and non-HIV patients, and a subgroup analysis was performed in non-HIV patients according to the underlying type of immunosuppression. Respiratory coinfections were recorded and classified based on microbiological results. Results: Chest radiography was normal in 32.4% of patients. An interstitial pattern tended to be more frequent in HIV-positive patients, whereas consolidations were more commonly observed in non-HIV patients (p = 0.051). On CT, ground-glass opacities were the predominant finding in both groups. HIV-positive patients more frequently demostrated an alveolo-interstitial pattern, mosaic attenuation, and pulmonary cysts, while consolidations and pleural effusions were more common in non-HIV patients, particularly among solid organ transplant recipients. Respiratory coinfections were identified in 63.9% of patients; however, no statistically significant differences in CT patterns were observed between patients with and without coinfections. Conclusions: PJP demonstrates different CT presentations according to immune status. HIV-positive patients more frequently demonstrated alveolo-interstitial patterns, mosaic attenuation, and pulmonary cysts, whereas consolidations were more commonly observed in non-HIV immunocompromised patients. Respiratory coinfections do not appear to significantly influence CT patterns.

DiagnosticsVol. 16(11)
Universidad de Cantabria (ES), Instituto de Salud Carlos III (ES), Centro de Investigación Biomédica en Red de Salud Mental (ES), Complejo Hospitalario de Salamanca (ES), Marqués de Valdecilla University Hospital (ES), Instituto de Investigación Marqués de Valdecilla (ES), Centro de Investigación Biomédica en Red (ES), Instituto de Investigación Biomédica de Salamanca (ES)
Good health and well-being
Openalex Percentile: Top 6%
Pneumocystis jirovecii pneumonia detection and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.