Patients’ Radiation Dose in Computed Tomography-Fluoroscopy-Guided Percutaneous Cryoablation for Small Renal Tumors

2021 ◽  
pp. 109972
Author(s):  
Yasuhiro Fukushima ◽  
Junpei Nakamura ◽  
Yuko Seki ◽  
Masashi Ando ◽  
Masaya Miyazaki ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Radiation Dose ◽  
Renal Tumors ◽  
Percutaneous Cryoablation ◽  
Computed Tomography Fluoroscopy

scholarly journals Computed Tomography Guidance for Spinal Intervention: Basics of Technique, Pearls, and Avoiding Pitfalls

2013 ◽  
Vol 4;16 (4;7) ◽  
pp. 369-377
Author(s):  
Dr. Vincent Timpone
Keyword(s):  
Computed Tomography ◽  
Radiation Dose ◽  
Image Guidance ◽  
Facet Joint ◽  
Ct Guidance ◽  
Success Rates ◽  
Advantages And Disadvantages ◽  
Computed Tomography Fluoroscopy ◽  
Anatomical Detail ◽  
Needle Trajectory

The utilization of spinal interventional pain techniques has grown rapidly over the last decade. However, practitioners use widely different techniques in these procedures, particularly in the use of image guidance. The importance of image guidance was highlighted by the fact that in recent systematic reviews on therapeutic effectiveness of epidural steroid injections and facet joint interventions, only studies that used image guidance were included. The choice of image guidance remains a matter of physician preference with conventional fluoroscopic or Computed Tomography (CT) guidance most common. There are many advantages to CT guidance for certain spinal interventional pain procedures, mainly due to increased needle tip positioning accuracy. CT guidance provides greater anatomical detail that facilitates accurate needle trajectory planning, monitoring and final placement. Unlike conventional fluoroscopy that may be hindered by tissue overlap and lack of surrounding anatomical detail CT guidance offers direct visualization of the entire needle trajectory and the surrounding soft tissue and bone structures. Large osteophytes and adjacent vascular structures can be identified and safely avoided. The goals of this narrative review are to provide a basic overview of CT techniques available for spinal interventional pain procedures, to discuss the potential advantages and disadvantages of CT guidance, to provide a simple step-by-step approach to use of CT guidance, to share technical pearls, and to discuss methods to avoid potential pitfalls. This review will provide interventional pain physicians with knowledge of relevant CT image acquisition techniques and appropriate radiation dose reduction strategies. This will contribute to increased technical success rates while reducing radiation dose to the patient and staff. Key words: Computed tomography, fluoroscopy, analgesia, epidural injection, spinal injection, back pain, safety

Radiation dose during CT-guided percutaneous cryoablation of renal tumors: Effect of a dose reduction protocol

2015 ◽  
Vol 84 (11) ◽  
pp. 2218-2221 ◽  
Author(s):  
Vincent M. Levesque ◽  
Paul B. Shyn ◽  
Kemal Tuncali ◽  
Servet Tatli ◽  
Richard D. Nawfel ◽  
...  
Keyword(s):  
Radiation Dose ◽  
Dose Reduction ◽  
Renal Tumors ◽  
Ct Guided ◽  
Percutaneous Cryoablation

scholarly journals Computed tomography-guided percutaneous cryoablation of T1b renal tumors: safety, functional and oncological outcomes

2019 ◽  
Vol 36 (1) ◽  
pp. 1064-1070 ◽  
Author(s):  
Rémi Grange ◽  
Farouk Tradi ◽  
Jean Izaaryene ◽  
Nassima Daidj ◽  
Serge Brunelle ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Tumors ◽  
Percutaneous Cryoablation ◽  
Oncological Outcomes

scholarly journals Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Kwang-Hyun Uhm ◽  
Seung-Won Jung ◽  
Moon Hyung Choi ◽  
Hong-Kyu Shin ◽  
Jae-Ik Yoo ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Deep Learning ◽  
Kidney Cancer ◽  
Renal Tumor ◽  
Renal Tumors ◽  
Abdominal Computed Tomography ◽  
Wide Range ◽  
End To End ◽  
Multi Phase ◽  
Histologic Subtypes

AbstractIn 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying histologic subtypes of renal tumor to avoid unnecessary biopsy or surgery. However, there exists inter-observer variability due to subtle differences in the imaging features of tumor subtypes, which makes decisions on treatment challenging. While deep learning has been recently applied to the automated diagnosis of renal tumor, classification of a wide range of subtype classes has not been sufficiently studied yet. In this paper, we propose an end-to-end deep learning model for the differential diagnosis of five major histologic subtypes of renal tumors including both benign and malignant tumors on multi-phase CT. Our model is a unified framework to simultaneously identify lesions and classify subtypes for the diagnosis without manual intervention. We trained and tested the model using CT data from 308 patients who underwent nephrectomy for renal tumors. The model achieved an area under the curve (AUC) of 0.889, and outperformed radiologists for most subtypes. We further validated the model on an independent dataset of 184 patients from The Cancer Imaging Archive (TCIA). The AUC for this dataset was 0.855, and the model performed comparably to the radiologists. These results indicate that our model can achieve similar or better diagnostic performance than radiologists in differentiating a wide range of renal tumors on multi-phase CT.

scholarly journals Radiation dose estimation for pencil beam X-ray luminescence computed tomography imaging

2021 ◽  
pp. 1-12
Author(s):  
Ignacio O. Romero ◽  
Changqing Li
Keyword(s):  
Computed Tomography ◽  
Radiation Dose ◽  
Small Animal ◽  
Pencil Beam ◽  
Computed Tomography Imaging ◽  
Step Size ◽  
Imaging Protocol ◽  
X Ray ◽  
Beam Geometry ◽  
Muscle Tissues

BACKGROUND: Pencil beam X-ray luminescence computed tomography (XLCT) imaging provides superior spatial resolution than other imaging geometries like sheet beam and cone beam geometries. However, the pencil beam geometry suffers from long scan times, resulting in concerns overdose which discourages the use of pencil beam XLCT. OBJECTIVE: The dose deposited in pencil beam XLCT imaging was investigated to estimate the dose from one angular projection scan with three different X-ray sources. The dose deposited in a typical small animal XLCT imaging was investigated. METHODS: A Monte Carlo simulation platform, GATE (Geant4 Application for Tomographic Emission) was used to estimate the dose from one angular projection scan of a mouse leg model with three different X-ray sources. Dose estimations from a six angular projection scan by three different X-ray source energies were performed in GATE on a mouse trunk model composed of muscle, spine bone, and a tumor. RESULTS: With the Sigray source, the bone marrow of mouse leg was estimated to have a radiation dose of 44 mGy for a typical XLCT imaging with six angular projections, a scan step size of 100 micrometers, and 106 X-ray photons per linear scan. With the Sigray X-ray source and the typical XLCT scanning parameters, we estimated the dose of spine bone, muscle tissues, and tumor structures of the mouse trunk were 38.49 mGy, 15.07 mGy, and 16.87 mGy, respectively. CONCLUSION: Our results indicate that an X-ray benchtop source (like the X-ray source from Sigray Inc.) with high brilliance and quasi-monochromatic properties can reduce dose concerns with the pencil beam geometry. Findings of this work can be applicable to other imaging modalities like X-ray fluorescence computed tomography if the imaging protocol consists of the pencil beam geometry.

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