Background: Pulmonary infections represent a leading cause of global morbidity and mortality. High-Resolution Computed Tomography (HRCT) and chest radiography are essential for initial diagnosis, but their utility in predicting early therapeutic failure or treatment response to antimicrobial regimens remains inadequately quantified. Objective: To evaluate the quantitative and qualitative correlations between baseline radiological patterns on chest HRCT/radiographs and clinical/microbiological response to empirical and culture-guided antimicrobial therapy in adult patients with acute pulmonary infections. Methods: A 12-month prospective observational cohort study was conducted involving 280 adult patients admitted with lower respiratory tract infections (LRTIs), including community-acquired pneumonia (CAP), hospital-acquired pneumonia (HAP), and pulmonary tuberculosis (PTB). Baseline imaging (chest radiograph and 64-slice chest HRCT) was evaluated for disease extension (modified radiographic score), opacity pattern (consolidation, ground-glass opacities [GGO], cavitation, tree-in-bud, pleural effusion), and bilateral involvement. Patients received protocolized empirical antimicrobial therapy, subsequently tailored to microbiological culture/PCR results. Clinical response (fever resolution, oxygenation improvement, biomarker normalization [CRP, procalcitonin]) and early treatment failure (ETF) at day 7 were correlated with baseline radiological metrics using bivariate and multivariate regression models. Results: Of 280 patients (mean age 54.2 ± 15.8 years; 60.7% male), bacterial pathogens were isolated in 182 (65.0%), viral in 38 (13.6%), mycobacterial in 34 (12.1%), and fungal/polymicrobial in 26 (9.3%). Early treatment failure (ETF) occurred in 58 patients (20.7%). Baseline multi-lobar involvement (≥ 3 lobes) was significantly associated with higher ETF (38.2% vs. 11.2%, p < 0.001). On multivariate analysis, baseline presence of pulmonary cavitation (aOR = 3.84, 95% CI:1.82 - 8.12, p < 0.001), severe consolidation with air bronchograms comprising > 50% of a lung zone (aOR = 2.92, 95% CI:1.45 - 5.88, p = 0.003), and bilateral pleural effusion (aOR = 3.15, 95% CI:1.42-6.98, p = 0.005) were independent predictors of treatment failure at 7 days. High baseline HRCT severity scores (> 15/25) correlated inversely with time to clinical stability (r = - 0.642, p < 0.001). Conclusion: Quantitative baseline radiological scoring and specific high-risk imaging phenotypes (cavitation, multi-lobar consolidation, bilateral pleural effusion) strongly correlate with delayed response and early failure of antimicrobial therapy. Integrating radiological risk stratification with microbiological monitoring optimizes early treatment modifications and escalation of supportive care in lower respiratory tract infections.
Lower Respiratory Tract Infections (LRTIs), encompassing community-acquired pneumonia (CAP), hospital-acquired pneumonia (HAP), ventilator-associated pneumonia (VAP), and pulmonary tuberculosis (PTB), remain among the primary infectious causes of mortality worldwide [1]. Effective management relies on prompt initiation of targeted or broad-spectrum antimicrobial therapy, appropriate source control, and early recognition of non-responding or refractory cases [2].
In routine clinical practice, evaluating treatment response relies heavily on clinical parameters (defervescence, stabilization of hemodynamic and respiratory indices) and inflammatory serum biomarkers such as C-Reactive Protein (CRP) and Procalcitonin (PCT) [3]. However, clinical indices can be blunted by host immunocompromise, elderly age, or underlying chronic obstructive pulmonary disease (COPD) [4].
Diagnostic imaging; specifically plain chest radiography (CXR) and High-Resolution Computed Tomography (HRCT) of the chest; plays a central role in confirming pulmonary parenchymal involvement [5]. While CXR remains the primary screening tool, HRCT offers superior resolution, enabling precise characterization of elementary lesions such as ground-glass opacities (GGO), lobar consolidation, centrilobular nodularity, tree-in-bud patterns, pulmonary necrosis, cavitation, and pleural space complications [6].
Despite the widespread utilization of thoracic imaging, the direct correlation between initial radiological extent/pattern and early clinical or microbiological response to antimicrobial therapy remains insufficiently defined [7]. While radiological resolution typically lags behind clinical recovery by weeks or months, specific baseline radiological markers; such as multi-lobar consolidation, necrotic breakdown, or pleural effusions; may signal high pathogen load, impaired local tissue vascularization, poor drug penetration, or refractory antimicrobial resistance [8].
This study was undertaken to evaluate the correlation between baseline radiological findings on chest radiographs and HRCT with clinical and microbiological response to antimicrobial therapy, and to identify independent imaging predictors of early treatment failure in adult patients presenting with pulmonary infections.
Study Design and Setting
This prospective observational cohort study was conducted across the Departments of Pharmacology and Radiodiagnosis at Khaja Bandanawaz University–Faculty of Medical Sciences; a tertiary care academic hospital over a 12-month period (Feb 2025 to Jan 2026). The protocol was approved by the Institutional Ethics Committee, and written informed consent was obtained from all patients or their legal guardians prior to enrollment in accordance with the Declaration of Helsinki.
Patient Selection
Adult patients admitted with clinical and radiological evidence of acute lower respiratory tract infection were evaluated sequentially.
Inclusion Criteria:
Exclusion Criteria:
Imaging Acquisition and Radiological Scoring
Baseline chest radiographs (posterior-anterior [PA] view) and unenhanced high-resolution computed tomography (64-slice Somatom Sensation, Siemens Healthineers; 120 kVp, 100 mAs, 1.0 mm slice reconstruction with sharp B70 kernel) were performed upon admission.
Radiological images were evaluated independently by two experienced radiologists blinded to clinical treatment pathways and microbiological results (kappa = 0.88 for inter-observer agreement).
Parameters Evaluated:
Microbiological Workup and Antimicrobial Regimens
Sputum samples (Gram stain, Ziehl-Neelsen/Auramine-Rhodamine stain for acid-fast bacilli [AFB], routine aerobic bacterial/fungal culture, and GeneXpert MTB/RIF) were obtained prior to initiating antimicrobial therapy. Dual sets of blood cultures, urinary Streptococcus pneumoniae and Legionella pneumophila antigens, and multiplex respiratory viral PCR panels were performed.
Empirical antimicrobial therapy was prescribed according to institutional guidelines based on LRTI severity (ATS/IDSA guidelines for CAP and HAP) [10]. De-escalation or modification to targeted therapy was carried out upon receipt of definitive antimicrobial susceptibility testing (AST) results.
Clinical Outcome Metrics
Patients were evaluated daily during hospitalization and at outpatient follow-up visits (Days 7, 14, and 28).
Statistical Analysis
Sample size estimation indicated that 260 patients were required to detect a 15% difference in early treatment failure rates between high and low HRCT score groups with 80% power (beta = 0.20) and alpha = 0.05.
Data were analyzed using SPSS version 28.0 (IBM Corp., Armonk, NY). Continuous variables are expressed as mean ± SD or median (IQR) and compared using the Student's t-test or Mann-Whitney U test. Categorical data are presented as counts (%) and analyzed using the Chi-Square (chi^2) test or Fisher’s exact test. Correlations between HRCT severity score and continuous clinical/biomarker variables were calculated using Pearson’s (r) or Spearman’s (rho) correlation coefficients. Multivariate logistic regression models were built using stepwise variable selection to identify independent radiological predictors of early treatment failure (ETF). p-values < 0.05 were considered statistically significant.
Demographic, Microbiological, and Baseline Radiological Features
A total of 280 patients were enrolled and completed the 28-day follow-up. The mean age was 54.2 ± 15.8 years, with 170 males (60.7%) and 110 females (39.3%). Based on clinical presentation, 168 patients (60.0%) were diagnosed with CAP, 78 (27.9%) with HAP/VAP, and 34 (12.1%) with primary/reactivation PTB.
Microbiological etiology was established in 238 cases (85.0%):
Baseline radiological characteristics stratified by disease etiology are summarized in Table 1.
Table 1. Baseline HRCT Radiological Patterns Stratified by Clinical Diagnosis (N=280)
|
Radiological Parameter |
Total Cohort (N = 280) |
CAP (n = 168) |
HAP / VAP (n = 78) |
PTB (n = 34) |
p-value |
|
Elementary HRCT Lesions, n(%) |
|||||
|
-Dense Lobar Consolidation |
178 (63.6) |
122 (72.6) |
52 (66.7) |
4 (11.8) |
< 0.001 |
|
-Ground-Glass Opacities (GGO) |
132 (47.1) |
82 (48.8) |
42 (53.8) |
8 (23.5) |
0.012 |
|
-Cavitation / Necrosis |
52 (18.6) |
10 (6.0) |
14 (17.9) |
28 (82.4) |
< 0.001 |
|
-Tree-in-Bud / Centrilobular |
62 (22.1) |
14 (8.3) |
16 (20.5) |
32 (94.1) |
< 0.001 |
|
-Pleural Effusion (Any) |
94 (33.6) |
58 (34.5) |
30 (38.5) |
6 (17.6) |
0.084 |
|
-Bilateral Pleural Effusion |
38 (13.6) |
18 (10.7) |
18 (23.1) |
2 (5.9) |
0.018 |
|
Lobar Extent, n (%) |
|||||
|
-Single Lobe |
114 (40.7) |
86 (51.2) |
18 (23.1) |
10 (29.4) |
< 0.001 |
|
- Multi-lobar (≥ 3 lobes) |
102 (36.4) |
48 (28.6) |
42 (53.8) |
12 (35.3) |
< 0.001 |
|
Mean HRCT Score (0-25), Mean ± SD |
13.4 ± 5.2 |
11.8 ± 4.6 |
16.2 ± 4.8 |
14.1 ± 4.2 |
< 0.001 |
Correlation of Radiological Findings with Early Treatment Failure (ETF)
Early Treatment Failure (ETF) at Day 7 occurred in 58 patients (20.7% across the entire cohort; 13.1% in CAP, 38.5% in HAP/VAP, and 17.6% in PTB). Overall 28-day mortality was 8.6% (n = 24).
As presented in Table 2, patients who experienced ETF demonstrated significantly higher baseline HRCT severity scores (17.8 ± 3.9 vs. 12.2 ± 4.8, p < 0.001) and a higher prevalence of baseline high-risk radiological features:
Table 2. Univariate Analysis of Baseline Radiological Parameters Associated with Early Treatment Failure at Day 7
|
Radiological Parameter |
Treatment Success (n = 222) |
Early Treatment Failure (n = 58) |
Statistical Metric (χ2 / t) |
p-value |
|
Mean HRCT Score (0–25) |
12.2 ± 4.8 |
17.8 ± 3.9 |
t = 8.12 |
< 0.001 |
|
High HRCT Score (> 15), n (%) |
48 (21.6) |
42 (72.4) |
χ2 = 54.8 |
< 0.001 |
|
Multi-lobar Disease (≥ 3 Lobes) |
63 (28.4) |
39 (67.2) |
χ2 = 29.8 |
< 0.001 |
|
Bilateral Involvement |
78 (35.1) |
38 (65.5) |
χ2 = 17.4 |
< 0.001 |
|
Pulmonary Cavitation / Necrosis |
30 (13.5) |
22 (37.9) |
χ2 = 18.2 |
< 0.001 |
|
Severe Consolidation (> 50% Zone) |
82 (36.9) |
38 (65.5) |
χ2 = 15.2 |
< 0.001 |
|
Bilateral Pleural Effusion |
21 (9.5) |
17 (29.3) |
χ2 = 15.8 |
< 0.001 |
Quantitative Correlation: HRCT Severity vs. Clinical Kinetics
Pearson's correlation coefficient analysis revealed strong quantitative relationships between baseline HRCT severity score and clinical/biochemical recovery kinetics:
Multivariate Regression Analysis: Independent Radiological Predictors
Stepwise multivariate logistic regression analysis was performed to isolate independent baseline radiological predictors of Early Treatment Failure at Day 7 after controlling for age, sex, APACHE II score, baseline immunosuppression, and initial microbiological appropriateness (Table 3).
After adjusting for clinical confounders:
Table 3. Multivariate Logistic Regression Model for Independent Radiological Predictors of Early Treatment Failure (Day 7)
|
Risk Factor Variable |
Unadjusted OR (95% CI) |
Adjusted OR (aOR)* (95% CI) |
p-value |
|
Pulmonary Cavitation / Necrosis |
3.91 (1.98 – 7.72) |
3.84 (1.82 – 8.12) |
< 0.001 |
|
Bilateral Pleural Effusion |
3.96 (1.92 – 8.18) |
3.15 (1.42 – 6.98) |
0.005 |
|
Severe Consolidation (>50% Zone) |
3.24 (1.75 – 6.01) |
2.92 (1.45 – 5.88) |
0.003 |
|
HRCT Score > 15 / 25 |
4.86 (2.58 – 9.15) |
2.68 (1.32 – 5.44) |
0.006 |
|
Multi-lobar Involvement (≥ 3 Lobes) |
5.21 (2.78 – 9.76) |
2.24 (1.08 – 4.65) |
0.031 |
*Adjusted for age, APACHE II score, baseline immunosuppression, serum procalcitonin, and appropriateness of initial empiric antibiotic regimen.
The clinical management of lower respiratory tract infections requires rapid, accurate identification of patients at high risk for therapeutic failure or delayed clinical recovery [13]. This prospective study provides quantitative evidence that baseline high-resolution computed tomography (HRCT) metrics and specific elementary radiological patterns serve as independent predictors of response to antimicrobial therapy.
Pathophysiological Basis of High-Risk Radiological Patterns
Our multivariate regression analysis established that pulmonary cavitation/necrosis (aOR = 3.84), bilateral pleural effusions (aOR = 3.15), and dense consolidation (aOR = 2.92) are strong independent drivers of early treatment failure.
HRCT Scoring vs. Clinical Biomarker Kinetics
While inflammatory serum biomarkers such as C-Reactive Protein and Procalcitonin provide systemic measures of infection control, their kinetics can be delayed or confounded by steroid therapy, underlying renal impairment, or host immunosuppression [21]. In our study, baseline HRCT severity score (> 15/25) correlated strongly with time to clinical stability (r = 0.642) and prolonged requirement for parenteral antimicrobial therapy.
Quantitative HRCT scoring offers an objective, structural baseline that complements biomarker monitoring [22]. Patients presenting with high HRCT severity scores should be recognized as high-risk candidates who warrant early microbiological escalation (e.g., broad-spectrum coverage for resistant Gram-negative bacilli or MRSA), aggressive supportive care, and early repeat imaging if clinical defervescence is not achieved within 48 to 72 hours [23].
Diagnostic Integration and Antimicrobial Stewardship
Understanding the correlation between initial radiological extent and treatment response reinforces antimicrobial stewardship principles [24]. Slow radiological resolution is a well-documented phenomenon; radiographic opacities frequently persist or lag behind clinical cure by 4 to 8 weeks [25].
However, distinguishing between expected "radiological lag" in a clinically improving patient and true "early treatment failure" in a deteriorating patient relies on correlating radiological baseline features with clinical trajectory [26]. Knowing that a patient with baseline multi-lobar consolidation and cavitation has a predictably longer time to clinical stability prevents unnecessary, premature antibiotic switching when the patient is otherwise hemodynamically stable and defervescing [27].
STUDY LIMITATIONS
Several limitations must be acknowledged. First, as a single-center study at a tertiary hospital, our cohort included a higher proportion of severe HAP/VAP and complex tuberculous cases than seen in primary care. Second, follow-up HRCT scans were not performed routinely at Day 7 for all patients to avoid unnecessary radiation exposure; repeat imaging at Day 7 was restricted to plain chest radiography unless clinical deterioration prompted repeat CT. Third, dynamic contrast-enhanced CT was not utilized, which might provide additional insights into parenchymal perfusion and pulmonary microvascular thrombosis [28].
Quantitative baseline HRCT evaluation and specific imaging phenotypes; specifically pulmonary cavitation, severe multi-lobar consolidation, and bilateral pleural effusions; strongly correlate with delayed clinical stabilization and early failure of empirical antimicrobial therapy in pulmonary infections. Incorporating quantitative radiological risk stratification alongside routine microbiological testing and inflammatory biomarker tracking enables early identification of non-responding patients, guides timely therapeutic adjustments, and optimizes clinical outcomes in lower respiratory tract infections.