Contrast-Enhanced CT-Guided Core Biopsy of Retroperitoneal Masses

El‐Badrawy, Adel; Tawfik, Ahmed; Abdelfattah, Sherif; Monir, Amir; Salah-Eldin, Manal; Azmy, Emad; El-Tantawy, Dina; El-Karef, Amro

doi:10.4236/ojrad.2014.41017

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Patients undergoing imaging-guided biopsies in sites that have poor hemorrhage control are at a higher risk of complications [10, 11]. Multiple studies have shown that various periprocedural techniques, including smaller-gauge biopsy devices, use of closure tools, and post-biopsy tract embolization, all have the potential to decrease the rate of bleeding complications [10, 11, 12, 13, 14]. These techniques are routinely used by IR, but uncommonly by non-IR radiologists or other physicians, who are less familiar with the technique and equipment.…”

Section: Discussionmentioning

confidence: 99%

Assess the Benefit of Interventional Radiologist Performing an Image Guided Biopsy

Rozenberg

Shahi

Burute

et al. 2021

Preprint

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Purpose To determine whether there is any benefit in diagnostic accuracy, reduction in periprocedural complications, when image-guided biopsies are performed by interventional radiologist as compared to a general radiologist or other physician without prior special interventional training. Patients and Methods This study is a retrospective chart review of all consecutive patients that underwent imaging-guided core biopsies during one year in our hospital. Information collected included: patient age, gender, coagulation status, organ biopsied, imaging modality and equipment used, number of samples obtained, post-biopsy complications, histopathological results, and previous interventional training of a physician performing the biopsy. The quantitative data from patient charts was analyzed using a statistical program, Statistical Package for Social Sciences (SPSS). Results 449 patients were included in this study: 132 were performed using Computed Tomography guidance and 317 were performed under ultrasound guidance. The success rate of core biopsies was compared between different specialists, and was measured based on periprocedural complications, necessity of medical intervention and/or hospitalization after biopsy procedure, true positive histopathology results, and need to perform repeat biopsy of the same lesion owing to inconclusive results. Overall, IR had a success rate of 88.13%, non-IR had a success rate of 61.07%, and nephrologists had a success rate of 77.65%. The post biopsy complication rates were 5.48%, 27.52%, and 17.65% for procedures performed by IR, non-IR, and nephrologists respectively. Conclusion Our study shows an overall higher success rate and improved patient outcome when image guided biopsies were performed by IR, as compared to other non-IR physicians.

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Section: Discussionmentioning

confidence: 99%

Assess the Benefit of Interventional Radiologist Performing an Image Guided Biopsy

Rozenberg

Shahi

Burute

et al. 2021

Preprint

View full text Add to dashboard Cite

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Contrast-enhanced to noncontrast CT transformation via an adjacency content-transfer-based deep subtraction residual neural network

Gu¹,

Liu²,

Zhou³

et al. 2021

Phys. Med. Biol.

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To reduce overall patient radiation exposure in some clinical scenarios (since cancer patients need frequent follow-ups), noncontrast CT is not used in some institutions. However, although less desirable, noncontrast CT could provide additional important information. In this article, we propose a deep subtraction residual network based on adjacency content transfer to reconstruct noncontrast CT from contrast CT and maintain image quality comparable to that of a CT scan originally acquired without contrast. To address the slight structural dissimilarity of the paired CT images (noncontrast CT and contrast CT) due to involuntary physiological motion, we introduce a contrastive loss network derived from the adjacency content-transfer strategy. We evaluate the results of various similarity metrics (MSE, SSIM, NRMSE, PSNR, MAE) and the fitting curve (HU distribution) of the output mapping to estimate the reconstruction performance of the algorithm. To build the model, we randomly select a total of 15,405 CT paired images (noncontrast CT and contrast-enhanced CT) for training and 10,270 CT paired images for testing. The proposed algorithm preserves the robust structures from the contrast-enhanced CT scans and learns the noncontrast attenuation pattern from the noncontrast CT scans. During the evaluation, the deep subtraction residual network achieves higher MSE, MAE, NRMSE, and PSNR scores (by 30%) than those of the baseline models (BEGAN, CycleGAN, Pixel2Pixel) and better simulates the HU curve of noncontrast CT attenuation. After validation based on an analysis of the experimental results, we can report that the noncontrast CT images reconstructed by our proposed algorithm not only preserve the high-quality structures from the contrast-enhanced CT images, but also mimic the CT attenuation of the originally acquired noncontrast CT images.

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Contrast-Enhanced CT-Guided Core Biopsy of Retroperitoneal Masses

Cited by 2 publications

References 14 publications

Assess the Benefit of Interventional Radiologist Performing an Image Guided Biopsy

Assess the Benefit of Interventional Radiologist Performing an Image Guided Biopsy

Contrast-enhanced to noncontrast CT transformation via an adjacency content-transfer-based deep subtraction residual neural network

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