Patient Radiation Dose From Chest X-Ray Examinations in the West Bank—palestine

Lahham, Adnan; Issa, Ahlam; ALMasri, Hussein

doi:10.1093/rpd/ncx110

Cited by 17 publications

(11 citation statements)

References 10 publications

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“…According to our findings, ultra-low-dose chest CT was a reliable method with good accuracy when compared to low-dose chest CT in the diagnosis of COVID-19 pneumonia. Mean effective radiation dose in ultra-low-dose group was 0.14 mSv that is similar to the radiation dose of antero-posterior chest radiography of 0.14 mSv [ 27 ].…”

Section: Discussionmentioning

confidence: 80%

Agreement between low-dose and ultra-low-dose chest CT for the diagnosis of viral pneumonia imaging patterns during the COVID-19 pandemic

Bahrami‐Motlagh

Moharamzad

Amoli

et al. 2022

Egypt J Radiol Nucl Med

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Background Chest CT scan has an important role in the diagnosis and management of COVID-19 infection. A major concern in radiologic assessment of the patients is the radiation dose. Research has been done to evaluate low-dose chest CT in the diagnosis of pulmonary lesions with promising findings. We decided to determine diagnostic performance of ultra-low-dose chest CT in comparison to low-dose CT for viral pneumonia during the COVID-19 pandemic. Results 167 patients underwent both low-dose and ultra-low-dose chest CT scans. Two radiologists blinded to the diagnosis independently examined ultra-low-dose chest CT scans for findings consistent with COVID-19 pneumonia. In case of any disagreement, a third senior radiologist made the final diagnosis. Agreement between two CT protocols regarding ground-glass opacity, consolidation, reticulation, and nodular infiltration were recorded. On low-dose chest CT, 44 patients had findings consistent with COVID-19 infection. Ultra-low-dose chest CT had sensitivity and specificity values of 100% and 98.4%, respectively for diagnosis of viral pneumonia. Two patients were falsely categorized to have pneumonia on ultra-low-dose CT scan. Positive predictive value and negative predictive value of ultra-low-dose CT scan were respectively 95.7% and 100%. There was good agreement between low-dose and ultra-low-dose methods (kappa = 0.97; P < 0.001). Perfect agreement between low-dose and ultra-low-dose scans was found regarding diagnosis of ground-glass opacity (kappa = 0.83, P < 0.001), consolidation (kappa = 0.88, P < 0.001), reticulation (kappa = 0.82, P < 0.001), and nodular infiltration (kappa = 0.87, P < 0.001). Conclusion Ultra-low-dose chest CT scan is comparable to low-dose chest CT for detection of lung infiltration during the COVID-19 outbreak while maintaining less radiation dose. It can also be used instead of low-dose chest CT scan for patient triage in circumstances where rapid-abundant PCR tests are not available.

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Section: Discussionmentioning

confidence: 80%

Agreement between low-dose and ultra-low-dose chest CT for the diagnosis of viral pneumonia imaging patterns during the COVID-19 pandemic

Bahrami‐Motlagh

Moharamzad

Amoli

et al. 2022

Egypt J Radiol Nucl Med

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“…CXR is a rapid and cost-effective method performed widely in primary care clinics and tertiary hospitals, with a radiation dose of 0.14 mSv 25 . Nevertheless, its clinical utility for CAD diagnosis is relatively limited, as it is more specialized in detecting lung problems 26 .…”

Section: Discussionmentioning

confidence: 99%

Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning

Jeong,

Park,

Hong

et al. 2023

Journal of Thoracic Imaging

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Purpose: To evaluate the ability of radiomics score (RS)–based machine learning to identify moderate to severe coronary artery calcium (CAC) on chest x-ray radiographs (CXR). Materials and Methods: We included 559 patients who underwent a CAC scan with CXR obtained within 6 months and divided them into training (n = 391) and validation (n = 168) cohorts. We extracted radiomic features from annotated cardiac contours in the CXR images and developed an RS through feature selection with the least absolute shrinkage and selection operator regression in the training cohort. We evaluated the incremental value of the RS in predicting CAC scores when combined with basic clinical factor in the validation cohort. To predict a CAC score ≥100, we built an RS-based machine learning model using random forest; the input variables were age, sex, body mass index, and RS. Results: The RS was the most prominent factor for the CAC score ≥100 predictions (odds ratio = 2.33; 95% confidence interval: 1.62-3.44; P < 0.001) compared with basic clinical factor. The machine learning model was tested in the validation cohort and showed an area under the receiver operating characteristic curve of 0.808 (95% confidence interval: 0.75-0.87) for a CAC score ≥100 predictions. Conclusions: The use of an RS-based machine learning model may have the potential as an imaging marker to screen patients with moderate to severe CAC scores before diagnostic imaging tests, and it may improve the pretest probability of detecting coronary artery disease in clinical practice.

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“…For example, one standard radiotracer used in positron emission tomography (PET) has an effective radiation dosage of 5–8 mSv [ 211 ]. To compare with X-ray radiation, some common procedures such as chest X-ray or chest computer tomography (CT) have a radiation dosage of around 0.1 mSv [ 212 ] and 8 mSv [ 213 ], respectively. An approximate comparable time of natural background radiation exposure for a chest X-ray is 10 days and for a chest CT around 2 years [ 214 ].…”

Section: Light Technology For Pdtmentioning

confidence: 99%

Light Technology for Efficient and Effective Photodynamic Therapy: A Critical Review

Algorri

Ochoa

Roldán-Varona

et al. 2021

Cancers

120

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Photodynamic therapy (PDT) is a cancer treatment with strong potential over well-established standard therapies in certain cases. Non-ionising radiation, localisation, possible repeated treatments, and stimulation of immunological response are some of the main beneficial features of PDT. Despite the great potential, its application remains challenging. Limited light penetration depth, non-ideal photosensitisers, complex dosimetry, and complicated implementations in the clinic are some limiting factors hindering the extended use of PDT. To surpass actual technological paradigms, radically new sources, light-based devices, advanced photosensitisers, measurement devices, and innovative application strategies are under extensive investigation. The main aim of this review is to highlight the advantages/pitfalls, technical challenges and opportunities of PDT, with a focus on technologies for light activation of photosensitisers, such as light sources, delivery devices, and systems. In this vein, a broad overview of the current status of superficial, interstitial, and deep PDT modalities—and a critical review of light sources and their effects on the PDT process—are presented. Insight into the technical advancements and remaining challenges of optical sources and light devices is provided from a physical and bioengineering perspective.

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Patient Radiation Dose From Chest X-Ray Examinations in the West Bank—palestine

Cited by 17 publications

References 10 publications

Agreement between low-dose and ultra-low-dose chest CT for the diagnosis of viral pneumonia imaging patterns during the COVID-19 pandemic

Agreement between low-dose and ultra-low-dose chest CT for the diagnosis of viral pneumonia imaging patterns during the COVID-19 pandemic

Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning

Light Technology for Efficient and Effective Photodynamic Therapy: A Critical Review

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