CT-guided Biopsy for the Diagnosis of Pulmonary Epithelioid Hemangioendothelioma Mimicking Metastatic Lung Cancer

Imaging features and deep learning for prediction of pulmonary epithelioid hemangioendothelioma in CT images

Background

Pulmonary epithelioid hemangioendothelioma (PEH) is a rare vascular tumour, and its early diagnosis remains challenging. This study aims to comprehensively analyse the imaging features of PEH and develop a model for predicting PEH.

Methods

Retrospective and pooled analyses of imaging findings were performed in PEH patients at our center (n=25) and in published cases (n=71), respectively. Relevant computed tomography (CT) images were extracted and used to build a deep learning model for PEH identification and differentiation from other diseases.

Results

In this study, bilateral multiple nodules/masses (n=19) appeared to be more common with most nodules less than 2 cm. In addition to the common types and features, the pattern of mixed type (n=4) and isolated nodules (n=4), punctate calcifications (5/25) and lymph node enlargement were also observed (10/25). The presence of pleural effusion is associated with a poor prognosis in PEH. The deep learning model, with an area under the receiver operating characteristic curve (AUC) of 0.71 [95% confidence interval (CI): 0.69-0.72], has a differentiation accuracy of 100% and 74% for the training and test sets respectively.

Conclusions

This study confirmed the heterogeneity of the imaging findings in PEH and showed several previously undescribed types and features. The current deep learning model based on CT has potential for clinical application and needs to be further explored in the future.

Primary pulmonary epithelioid hemangioendothelioma

Pulmonary epithelioid hemangioendothelioma (PEH) is a rare tumour of vascular origin with low to intermediate malignancy. Typical radiological finding on CT is multiple small nodules in bilateral lungs, and some will have punctate calcifications and pleural thickening. The diagnosis of PEH is confirmed by histopathological findings and positive immunohistochemistry staining. We report a case of a woman in her 50s with a medical history of lung adenocarcinoma. Later, regular chest CT during a routine cancer follow-up revealed multiple small pulmonary nodules and increased sizes of these nodules on serial images, initially misdiagnosed as multiple lung metastases. The histopathological diagnosis was made on a pulmonary wedge resection. Finally, PEH was diagnosed on the basis of positive immunohistochemical staining for CD31, ERF and TFE3. In the current study, the clinicopathological features and review of the literature were investigated. Our case highlights the importance of a histological diagnosis to avoid misdiagnosis.

An extremely rare case of pulmonary epithelioid hemangioendothelioma

Epithelioid emangioendothelioma (EHE) is a rare tumor originating from vascular endothelial cells, which belongs to malignant vascular tumors with low to moderate differentiation and potential metastatic ability and its incidence rate is less than one in a million. We herein report a rare case of EHE of pulmonary origin and a review of the literature concerning the clinical and pathological features of this disease. The patient underwent left upper lobectomy to completely extirpate the lesion by video-assisted thoracic surgery. Our findings suggest the difficulty of making a diagnosis before surgery and that more cases need to be reported in order to facilitate the preoperative diagnosis of such a rare tumor.

Pleural Epithelioid Hemangioendothelioma (EHE): A Case Report

Pleural epithelioid hemangioendothelioma (EHE) is a rare malignancy of vascular origin. It can affect various organs; pleural involvement is rare and lack of suspicion leads to delay in diagnosis. We present a case of pleural EHE with metastasis to lung parenchyma that presents with chest pain and dyspnea. Chest imaging showed loculated pleural effusion, pleural thickening, mediastinal lymphadenopathy, and pulmonary nodules.

68 Ga-FAPI-04 PET/CT in Epithelioid Hemangioendothelioma With Pleura and Bone Metastases

ABSTRACT

Epithelioid hemangioendothelioma is a low- to intermediate-grade malignant vascular tumor with a slowly progressive course and unpredictable prognosis. We report a case of epithelioid hemangioendothelioma with pleura and bone metastases on 68 Ga-FAPI-04 PET/CT in a 65-year-old woman who underwent surgery and chemotherapy.

Pulmonary Epithelioid Hemangioendothelioma: Imaging and Clinical Features

OBJECTIVE

The aim of this study was to analyze the computed tomography (CT), fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT), and clinical findings of pulmonary epithelioid hemangioendothelioma.

METHODS

Eighteen patients were included. We reviewed CT and PET/CT features and clinical information. Spearman correlation analysis was used to reveal the correlation between lesion size and maximum standardized uptake values (SUVmax).

RESULTS

Eleven patients complained of different symptoms. The serum levels of tumor markers were elevated in 8 patients (44.4%). Multiple lesions were shown in 14 cases (77.8%). Eleven cases (61.1%) presented as bilateral multiple perivascular lesions. The size of the largest nodule was less than 20 mm in diameter in 11 cases (61.1%). Eleven cases underwent PET/CT examination, and 8 cases (72.7%) had increased FDG uptake. There was a positive correlation (Spearman correlation coefficient, 0.56; P = 0.009) between lesion size and SUVmax. Extrapulmonary involvement was shown in 7 cases, including the liver and bone.

CONCLUSIONS

Pulmonary epithelioid hemangioendothelioma on CT scan usually showed multiple bilateral perivascular lung nodules, generally measuring less than 20 mm in diameter. Lesions usually showed increased FDG uptake on PET/CT scans. There was a positive correlation between lesion size and SUVmax. The liver and bone were the most frequently involved extrapulmonary organs.