Value of CT Radiomics Combined with Clinical Features in the Diagnosis of Allergic Bronchopulmonary Aspergillosis

Qian, Xiaojun; Rong, Heng-Mo; Xue, Wei; Rong, Guangsheng; Yao, Mengxing

doi:10.1155/2022/5317509

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…Combined scores have been proposed since the description of the disease, and the recent development of mathematical models based on machine learning, artificial intelligence and other computer-assisted diagnostic aids are expected to contribute to early diagnosis of ABPA. As a proof of concept, clinical and radiological features of ABPA were used for building a model, which showed promising results for ABPA diagnosis [34].…”

Section: Overcoming the Issue: New Tools For Allergic Bronchopulmonar...mentioning

confidence: 99%

Epidemiology of the relationship between allergic bronchopulmonary aspergillosis and asthma

Maule,

Vitte,

Ambrosani

et al. 2024

Current Opinion in Allergy &Amp; Clinical Immunology

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Purpose of review Allergic bronchopulmonary aspergillosis (ABPA) can complicate the natural history of asthmatic patients, especially the more severe ones, worsening disease control and increasing the need for therapies, steroids in particular, and medical care. The aim of the present review is to summarize the latest epidemiological data related to the relationship between asthma and ABPA and to offer a summary of the most recent strategies that could potentially facilitate in the identification of ABPA in asthmatic patients. Recent findings In the last years, great efforts have been made by researchers worldwide to provide reliable epidemiological data on fungal sensitization and ABPA, especially in severe asthma patients both in adult and pediatric population. Data differ depending on the geographical area and population studied, but pooled data show a concerning 11% of severe asthma patients having ABPA and one out of four asthmatic patients being sensitized to fungi, Aspergillus fumigatus in particular. Summary Reliable epidemiological data and advances in the diagnostic procedures can facilitate the detection of ABPA among asthmatic patients, improving the management of a still under-recognized and challenging condition.

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Section: Overcoming the Issue: New Tools For Allergic Bronchopulmonar...mentioning

confidence: 99%

Epidemiology of the relationship between allergic bronchopulmonary aspergillosis and asthma

Maule,

Vitte,

Ambrosani

et al. 2024

Current Opinion in Allergy &Amp; Clinical Immunology

View full text Add to dashboard Cite

show abstract

Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders

Chen,

Zhang,

Shen

et al. 2023

Open Life Sciences

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This study aimed to assess the feasibility of diagnosing secondary pulmonary fungal infections (PFIs) in patients with hematological malignancies (HM) using computerized tomography (CT) imaging and a support vector machine (SVM) algorithm. A total of 100 patients with HM complicated by secondary PFI underwent CT scans, and they were included in the training group. Concurrently, 80 patients with the same underlying disease who were treated at our institution were included in the test group. The types of pathogens among different PFI patients and the CT imaging features were compared. Radiomic features were extracted from the CT imaging data of patients, and a diagnostic SVM model was constructed by integrating these features with clinical characteristics. Aspergillus was the most common pathogen responsible for PFIs, followed by Candida, Pneumocystis jirovecii, Mucor, and Cryptococcus, in descending order of occurrence. Patients typically exhibited bilateral diffuse lung lesions. Within the SVM algorithm model, six radiomic features, namely the square root of the inverse covariance of the gray-level co-occurrence matrix (square root IV), the square root of the inverse covariance of the gray-level co-occurrence matrix, and small dependency low gray-level emphasis, significantly influenced the diagnosis of secondary PFIs in patients with HM. The area under the curve values for the training and test sets were 0.902 and 0.891, respectively. Therefore, CT images based on the SVM algorithm demonstrated robust predictive capability in diagnosing secondary PFIs in conjunction with HM.

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Value of CT Radiomics Combined with Clinical Features in the Diagnosis of Allergic Bronchopulmonary Aspergillosis

Cited by 2 publications

References 32 publications

Epidemiology of the relationship between allergic bronchopulmonary aspergillosis and asthma

Epidemiology of the relationship between allergic bronchopulmonary aspergillosis and asthma

Adoption value of support vector machine algorithm-based computed tomography imaging in the diagnosis of secondary pulmonary fungal infections in patients with malignant hematological disorders

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