The spectrum of imaging findings in pulmonary hydatid disease and the additive value of T2-weighted magnetic resonance imaging in its diagnosis

Choh, Naseer A.; Parry, Arshed Hussain; Wani, Abrar Ahad; Feroz, Imza; Bhat, Mohammad Akbar; Shaheen, Feroze

doi:10.5114/pjr.2021.103237

Cited by 7 publications

(8 citation statements)

References 20 publications

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“…However, a complicated cyst (ruptured, infected) may resemble other pathologies on imaging, such as lung abscess or cancer. In such cases, Choh et al suggest adding T2-weighted MRI to the diagnosis process [ 21 ]. In rare cases of pleural hydatidosis, the infection may manifest as a massive pleural effusion, which is frequently of malignant origin [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

Basic Operative Tactics for Pulmonary Echinococcosis in the Era of Endostaplers and Energy Devices

et al. 2023

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Human echinococcosis is a zoonotic infection caused by the larvae of the tapeworm species Echinococcus. The liver is the most common location for a primary echinococcosis. However, the parasite may bypass or spread from the liver to the lungs, causing primary or secondary pulmonary echinococcosis, respectively. Pulmonary echinococcosis is a clinically challenging condition in which anthelminthic regiments are important, but surgery has the central role in removing the cysts and preventing recurrences. Surgical treatment may involve cystotomy, enucleation, capitonnage, or atypical resections, which occasionally are in combination with hepatic procedures. The utilization of modern devices is greatly underdescribed in surgery for thoracic infections, even though these facilitate much of the work. Therefore, this article aims to describe pulmonary echinococcosis and the role of modern surgical devices in the treatment process. Furthermore, we report surgical treatment of three different cases of pulmonary echinococcosis. Surgeries of uncomplicated and ruptured hepatic or pulmonary cysts are described. Simple small pulmonary echinococcal lesions can be excised by endostaplers both for diagnostic and curative reasons. Larger cysts can be removed by energy devices unless large bronchial air leaks occur. Complicated cysts require treatment by more extensive techniques. Inexperienced surgeons should not abstain but should carefully decide preoperatively how to proceed.

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Section: Discussionmentioning

confidence: 99%

Basic Operative Tactics for Pulmonary Echinococcosis in the Era of Endostaplers and Energy Devices

et al. 2023

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“…3 Naseer, et al reported chest CT characteristics for hydatid cysts from 84 patients. 12 The characteristic is a hypodense cyst with a well-defined perceptible cyst wall with normal surrounding parenchyma (21.4%) or consolidation (34.6%). Radiological signs of hydatid cysts can be categorized as uncomplicated or difficult, depending on whether there are problems such as rupture, complete rupture, or superinfection.…”

Section: Discussionmentioning

confidence: 99%

Giant Pleural Hydatid Cyst: A Case Report

Sudarto

Belinda

Fathurrachman

et al. 2023

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Introduction: Echinococcosis is a zoonotic disease caused by the larva stage of a Taeniidae parasite of Echinococcus. Echinococcus granulosus (E. granulosus) causes cystic echinococcus (CE) and is the most common species causing disease in humans. A pleural hydatid cyst should be considered initially with a corresponding chest radiograph. It can develop into fatal complications, including secondary infection, severe bleeding, bronchial rupture and pleural or pericardial cavities. This case report shows a rare case of a pleural hydatid cyst. Case: We reported a 59-year-old woman with shortness of breath and a productive cough for three months. The chest radiography and computed tomography (CT) scan revealed a cystic lesion measuring 14.2 x 18.5 cm with edge calcification thick around 3 mm. The pleural histopathology revealed that the cyst wall was made of fibrocollagen with a red oval echinococcus. The patient received oral albendazole/ABZ (400mg BID) for three months, paracetamol (500mg TID), and n-acetylcysteine (200mg TID). After three months, the patient had no complaints, only shortness of breath with heavy activity. Conclusion: It is important to be aware of this condition to avoid inappropriate and potentially dangerous underdiagnoses and treatment, which could endanger the patient.

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“…The lung cancer and non-COVID-19 lung infections image dataset was developed using multiple reliable free online access public chest CT examinations: Radiopaedia (pneumonia [ 41 ], lung abscess [ 42 ], lung hydatid infection [ 43 ], tuberculosis [ 44 ], primary lung cancer [ 45 ], pulmonary metastases [ 46 ]) and the COVID-19 and common pneumonia chest CT dataset (412 common pneumonia CT scans) [ 47 ]. Morever, this dataset also included a large-scale CT and PET/CT dataset for lung cancer diagnosis (Lung-PET-CT-Dx) [ 48 ], as well as chest CT scans from the internal PACS of the Medical Imaging Department at the University of Medicine and Pharmacy of Craiova.…”

Section: Methodsmentioning

confidence: 99%

Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images

Florescu

Streba

Serbănescu

et al. 2022

Life

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(1) Background: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. Reverse transcription polymerase chain reaction (RT-PCR) remains the current gold standard for detecting SARS-CoV-2 infections in nasopharyngeal swabs. In Romania, the first reported patient to have contracted COVID-19 was officially declared on 26 February 2020. (2) Methods: This study proposes a federated learning approach with pre-trained deep learning models for COVID-19 detection. Three clients were locally deployed with their own dataset. The goal of the clients was to collaborate in order to obtain a global model without sharing samples from the dataset. The algorithm we developed was connected to our internal picture archiving and communication system and, after running backwards, it encountered chest CT changes suggestive for COVID-19 in a patient investigated in our medical imaging department on the 28 January 2020. (4) Conclusions: Based on our results, we recommend using an automated AI-assisted software in order to detect COVID-19 based on the lung imaging changes as an adjuvant diagnostic method to the current gold standard (RT-PCR) in order to greatly enhance the management of these patients and also limit the spread of the disease, not only to the general population but also to healthcare professionals.

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The spectrum of imaging findings in pulmonary hydatid disease and the additive value of T2-weighted magnetic resonance imaging in its diagnosis

Cited by 7 publications

References 20 publications

Basic Operative Tactics for Pulmonary Echinococcosis in the Era of Endostaplers and Energy Devices

Basic Operative Tactics for Pulmonary Echinococcosis in the Era of Endostaplers and Energy Devices

Giant Pleural Hydatid Cyst: A Case Report

Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images

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