Dataset Information

Cone beam computed tomography-guided microwave ablation for hepatocellular carcinoma under the hepatic dome: a retrospective case-control study.

ABSTRACT:

Background

Microwave ablation (MWA) for hepatocellular carcinoma (HCC) under the hepatic dome is still clinically challenging. This retrospective control study set out to analyze the technical application and clinical benefits of cone beam computed tomography (CBCT)-guided MWA for HCC under the hepatic dome.

Methods

The study analyzed 76 patients with 110 HCC lesions under the hepatic dome from April 2016 to January 2020. The patients were divided into two groups: (I) the CBCT group (n=31), in which iGuide navigation was used for the puncture, and (II) the conventional computed tomography (cCT) group (n=45), in which a navigation tool was not used for the puncture. The primary endpoints were technical success, puncture score, and the rates of complete ablation (CA), complications, and local tumor progression (LTP). The secondary endpoints were tumor-free survival (TFS) and overall survival (OS).

Results

In terms of the primary endpoints, the puncture score, occurrence of pleural effusion, and occurrence of right shoulder pain differed significantly between the CBCT group and the cCT group (2.8 vs. 2.2, P=0.002; 12.9% vs. 35.6%, P=0.03; 9.7% vs. 33.3%, P=0.03, respectively). However, the rates of technical success, CA, major complications, and LTP showed no significant differences between the two groups (100% vs. 100%, P>0.009; 0% vs. 0%, P>0.009; 95.6% vs. 89.2%, P=0.30; 4.5% vs. 4.6%, P=0.96, respectively). Regarding the secondary endpoints, the median TFS was 23.0 [95% confidence interval (CI): 19.5-26.5] vs. 22.0 (95% CI: 18.4-25.6) months (P=0.41) and the median OS was 31.0 (95% CI: 21.4-40.6) vs. 33.0 (95% CI: 27.9-38.2) months (P=0.95).

Conclusions

Cone beam CT is a feasible and effective image guidance tool for MWA of HCC under the hepatic dome.

SUBMITTER: Liu Y

PROVIDER: S-EPMC9511415 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cone beam computed tomography-guided microwave ablation for hepatocellular carcinoma under the hepatic dome: a retrospective case-control study.

Liu Yiming Y Wu Kunpeng K Xu Kaihao K Tian Chuan C Jiao Dechao D Han Xinwei X

Quantitative imaging in medicine and surgery 20221001 10

<h4>Background</h4>Microwave ablation (MWA) for hepatocellular carcinoma (HCC) under the hepatic dome is still clinically challenging. This retrospective control study set out to analyze the technical application and clinical benefits of cone beam computed tomography (CBCT)-guided MWA for HCC under the hepatic dome.<h4>Methods</h4>The study analyzed 76 patients with 110 HCC lesions under the hepatic dome from April 2016 to January 2020. The patients were divided into two groups: (I) the CBCT gro ...[more]

PMID: 36185058

Similar Datasets

Project description:PurposeTo describe in detail a dataset consisting of serial four-dimensional computed tomography (4DCT) and 4D cone beam CT (4DCBCT) images acquired during chemoradiotherapy of 20 locally advanced, nonsmall cell lung cancer patients we have collected at our institution and shared publicly with the research community.Acquisition and validation methodsAs part of an NCI-sponsored research study 82 4DCT and 507 4DCBCT images were acquired in a population of 20 locally advanced nonsmall cell lung cancer patients undergoing radiation therapy. All subjects underwent concurrent radiochemotherapy to a total dose of 59.4-70.2 Gy using daily 1.8 or 2 Gy fractions. Audio-visual biofeedback was used to minimize breathing irregularity during all fractions, including acquisition of all 4DCT and 4DCBCT acquisitions in all subjects. Target, organs at risk, and implanted fiducial markers were delineated by a physician in the 4DCT images. Image coordinate system origins between 4DCT and 4DCBCT were manipulated in such a way that the images can be used to simulate initial patient setup in the treatment position. 4DCT images were acquired on a 16-slice helical CT simulator with 10 breathing phases and 3 mm slice thickness during simulation. In 13 of the 20 subjects, 4DCTs were also acquired on the same scanner weekly during therapy. Every day, 4DCBCT images were acquired on a commercial onboard CBCT scanner. An optically tracked external surrogate was synchronized with CBCT acquisition so that each CBCT projection was time stamped with the surrogate respiratory signal through in-house software and hardware tools. Approximately 2500 projections were acquired over a period of 8-10 minutes in half-fan mode with the half bow-tie filter. Using the external surrogate, the CBCT projections were sorted into 10 breathing phases and reconstructed with an in-house FDK reconstruction algorithm. Errors in respiration sorting, reconstruction, and acquisition were carefully identified and corrected.Data format and usage notes4DCT and 4DCBCT images are available in DICOM format and structures through DICOM-RT RTSTRUCT format. All data are stored in the Cancer Imaging Archive (TCIA, http://www.cancerimagingarchive.net/) as collection 4D-Lung and are publicly available.DiscussionDue to high temporal frequency sampling, redundant (4DCT and 4DCBCT) data at similar timepoints, oversampled 4DCBCT, and fiducial markers, this dataset can support studies in image-guided and image-guided adaptive radiotherapy, assessment of 4D voxel trajectory variability, and development and validation of new tools for image registration and motion management.

Project description:PurposeIn postoperative breast irradiation, changes in the breast contour and arm positioning can result in patient positioning errors and offline replanning. This can lead to increased treatment burden and strain on departmental logistics because of the need for additional cone beam computed tomography (CBCT) images or even a new radiation therapy treatment plan (TP). Online daily adaptive radiation therapy (oART) could provide a solution to these challenges. We have clinically implemented and evaluated the feasibility of oART for whole breast irradiation.Methods and materialsTwenty patients treated with postoperative whole breast right irradiation (5 × 5.2 Gy) were included in BREAST-ART, a prospective single-arm trial. The dosimetry of the reference TP calculated on the daily anatomy and adaptive TP were compared. Duration of the oART workflow, in-house satisfaction questionnaires, and acute toxicity (National Cancer Institute Common Terminology Criteria for Adverse Event v5.0) were collected. The oART workflow was evaluated by investigating the impact of manual corrections of influencer and target contours on treatment time and quality.ResultsIn the first 17 patients (85 fractions), the on-couch time, ie, the time between the end of CBCT1 and CBCT3, was a median of 13.8 minutes (range, 11-25). Retrospective evaluation of the use of the influencer (ie, breast) in 4 patients (20 fractions) and manual correction of the most cranial and caudal target contours (ie, 4 mm) in 10 patients (36 fractions) was done. This resulted in a reduced on-couch time in the last 3 clinical patients to a median of 13.0 minutes (range, 11-19). No grade 3 or higher toxicity was observed, and 19 of 20 patients indicated that they preferred the same treatment again. Skin marks for patient positioning during treatment were no longer necessary.ConclusionsThis study showed the feasibility, challenges, and practical solutions for the implementation of oART for breast cancer patients. Future work will focus on more complex breast indications, such as whole breast, including axillary nodes, to further investigate the benefits and challenges of oART in breast cancer.

Project description:BackgroundThe imaging dose of cone-beam computed tomography (CBCT) in image-guided radiotherapy (IGRT) poses adverse effects on patient health. To improve the quality of sparse-view low-dose CBCT images, a projection synthesis convolutional neural network (SynCNN) model is proposed.MethodsIncluded in this retrospective, single-center study were 223 patients diagnosed with brain tumours from Beijing Cancer Hospital. The proposed SynCNN model estimated two pairs of orthogonally direction-separable spatial kernels to synthesize the missing projection in between the input neighboring sparse-view projections via local convolution operations. The SynCNN model was trained on 150 real patients to learn patterns for inter-view projection synthesis. CBCT data from 30 real patients were used to validate the SynCNN, while data from a phantom and 43 real patients were used to test the SynCNN externally. Sparse-view projection datasets with 1/2, 1/4, and 1/8 of the original sampling rate were simulated, and the corresponding full-view projection datasets were restored using the SynCNN model. The tomographic images were then reconstructed with the Feldkamp-Davis-Kress algorithm. The root-mean-square error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM) metrics were measured in both the projection and image domains. Five experts were invited to grade the image quality blindly for 40 randomly selected evaluation groups with a four-level rubric, where a score greater than or equal to 2 was considered acceptable image quality. The running time of the SynCNN model was recorded. The SynCNN model was directly compared with the three other methods on 1/4 sparse-view reconstructions.ResultsThe phantom and patient studies showed that the missing projections were accurately synthesized. In the image domain, for the phantom study, compared with images reconstructed from sparse-view projections, images with SynCNN synthesis exhibited significantly improved qualities with decreased values in RMSE and increased values in PSNR and SSIM. For the patient study, between the results with and without the SynCNN synthesis, the averaged RMSE decreased by 3.4×10-4, 10.3×10-4, and 21.7×10-4, the averaged PSNR increased by 3.4, 6.6, and 9.4 dB, and the averaged SSIM increased by 5.2×10-2, 18.9×10-2 and 33.9×10-2, for the 1/2, 1/4, and 1/8 sparse-view reconstructions, respectively. In expert subjective evaluation, both the median scores and acceptance rates of the images with SynCNN synthesis were higher than those reconstructed from sparse-view projections. It took the model less than 0.01 s to synthesize an inter-view projection. Compared with the three other methods, the SynCNN model obtained the best scores in terms of the three metrics in both domains.ConclusionsThe proposed SynCNN model effectively improves the quality of sparse-view CBCT images at a low time cost. With the SynCNN model, the CBCT imaging dose in IGRT could be reduced potentially.

Dataset Information

Cone beam computed tomography-guided microwave ablation for hepatocellular carcinoma under the hepatic dome: a retrospective case-control study.

Background

Methods

Results

Conclusions

Publications

Cone beam computed tomography-guided microwave ablation for hepatocellular carcinoma under the hepatic dome: a retrospective case-control study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets