Evidence map›Paper›PMID 40994132›Full record

ArticleMycoses2025

CT Findings for Differentiating Pulmonary Mucormycosis From Invasive Pulmonary Aspergillosis, Prior to Invasive Procedure Such as a Biopsy or Surgery: A 22-Year Single-Center Experience.

Hyeon Mu Jang, Mi Young Kim, So Yun Lim, Eui-Jin Chang, Seongman Bae, Jiwon Jung, Min Jae Kim, Yong Pil Chong, Sang-Ho Choi, Sang-Oh Lee and 2 more

Abstract read
In one paragraph

Article in Mycoses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Pulmonary mucormycosis: Imaging findings and implications.Lung India : official organ of Indian Chest Society · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Hyeon Mu JangDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Mi Young KimDepartment of Radiology, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
So Yun LimDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Eui-Jin ChangDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seongman BaeDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jiwon JungDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Min Jae KimDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Yong Pil ChongDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sang-Ho ChoiDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sang-Oh LeeDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Yang Soo KimDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sung-Han KimDepartment of Infectious Diseases, Asan Medical Centre, University of Ulsan College of Medicine, Seoul, Republic of Korea.

Funding

Ministry of Health and Welfare, Republic of Korea HI23C0266
6 · The paper itself

Abstract

objectivesComputed tomography (CT) plays a critical role in the early detection and diagnosis of pulmonary invasive mould infection. This study aimed to compare the CT findings of proven invasive pulmonary aspergillosis (IPA) and proven pulmonary mucormycosis (PM) and develop a clinical scoring system based on CT features to differentiate PM from IPA.

methodsThe medical records of the pathology database among adult patients (aged ≥ 18 years) diagnosed with proven IPA or PM between January 2003 and June 2024 were retrospectively reviewed, according to the 2020 European Organisation for Research and Treatment of Cancer criteria. CT scans were reviewed by an experienced radiologist. The primary outcome was CT findings in PM and IPA. We investigated and compared the thoracic CT findings between PM and IPA to identify the predictors of PM compared to IPA prior to invasive diagnostic procedures.

resultsA total of 94 patients were included (60 with IPA and 34 with PM). The most common underlying conditions were malignancy (53.2%) and transplantation (47.9%). In univariable analysis, CT features significantly associated with PM, compared to IPA (p < 0.05), included representative lesion size ≥ 4 cm (odds ratio [OR] 3.61, 95% CI 1.48-8.79), consolidation (OR 5.56, 95% CI 1.52-20.38), halo sign (OR 3.33, 95% CI 1.39-8.02), reverse halo sign (RHS) (OR 6.73, 95% CI 2.39-18.98) and airway-invasive lesion (OR 0.32, 95% CI 0.13-0.78). In multivariate analysis, representative lesion size ≥ 4 cm, RHS, and airway-invasive lesion were identified as independent predictors of PM, compared to IPA. These three factors were incorporated into a point-based scoring system (representative lesion size ≥ 4 cm = 11 points; RHS = score 17 points; airway-invasive lesion = -12 points). A total score of > 8 differentiated PM from IPA with 70.6% sensitivity and 78.3% specificity.

conclusionsCT findings of large consolidative lesions, the presence of a reverse halo sign, and the absence of airway invasion may aid in the early differentiation of PM from IPA.

Indexed as

Invasive Pulmonary AspergillosisLung Diseases, FungalMucormycosisTomography, X-Ray ComputedAdultAgedBiopsyDiagnosis, DifferentialFemaleHumansLungMaleMiddle AgedRetrospective StudiesaspergillosisCT imagingmucormycosis

Identifiers

PMID40994132
PMCPMC12461179

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.