One- versus two-stage partial hepatectomy for large resectable solitary hepatocellular carcinomas determined preoperatively to have a narrow resection margin: a propensity score matching analysis DOI Open Access
Yao Li, Pengpeng Li, Dapeng Sun

et al.

HepatoBiliary Surgery and Nutrition, Journal Year: 2021, Volume and Issue: 11(5), P. 662 - 674

Published: June 16, 2021

For patients with a large but resectable solitary hepatocellular carcinoma (HCC) of >5 cm in diameter, it is often difficult to achieve sufficient resection margin. There still no study on whether two-stage hepatectomy increase narrow margin would be beneficial.From August 2014 February 2017, HCC and preoperative estimated <1.0 were retrospectively studied. They divided into one- groups. A retrospective analysis was performed, followed by propensity score matching (PSM) analysis. Disease recurrence, survival, intraoperative postoperative data compared.Before PSM, the 1-, 2-, 3-and 4-year recurrence-free survival rates for groups 44.3%, 31.7%, 24.3%, 19.2% versus 60.6%, 45.4%, 43.5%, 32.3%, respectively (P=0.007). The corresponding OS 61.0%, 45.2%, 43.8%, 38.4% 69.6%, 62.5%, 60.7%, 57.3%, (P=0.029). After 44.0%, 31.5%, 27.3%, 21.0% (P=0.013). 41.1%, 37.5% (P=0.038). Differences margins between before [0.3 (0-0.5) 1.2 (0.8-2.2) cm] after [0.2 PSM also significant.Two-stage allowed wider cm, resulted significantly better long-term outcomes partial hepatectomy.

Language: Английский

Deep learning for automatic tumor lesions delineation and prognostic assessment in multi-modality PET/CT: A prospective survey DOI
Muhammad Zubair Islam, Rizwan Ali Naqvi, Amir Haider

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 123, P. 106276 - 106276

Published: April 28, 2023

Language: Английский

Citations

8
Calreticulin couples with immune checkpoints in pancreatic cancer DOI Creative Commons
Xing Huang, Tianyu Tang, Xun Wang

et al.

Clinical and Translational Medicine, Journal Year: 2020, Volume and Issue: 10(1), P. 36 - 44

Published: March 1, 2020

Abstract Although immune checkpoint blockade is considered to be the dominant approach in future cancer immunotherapy, whether it will apply pancreatic remains largely unknown. To address this issue, cancer–associated datasets were individually collected by Gene Expression Profiling Interactive Analysis 2 (GEPIA2), cBioPortal, and Tumor Immune System Interaction Database (TISIDB), subsequently subjected prognostic, genomic, immunologic analyses of all well‐established checkpoints. The results indicate that checkpoints might not ideal targets for therapy. Intriguingly, genomic alteration calreticulin, key mediator chemotherapy‐induced immunogenic cell death, was found couple with cancer. Moreover, calreticulin observed highly expressed adenocarcinoma, high expression significantly favors both overall survival disease‐free patients adenocarcinoma. Importantly, further revealed closely related anti‐tumor immunity including multiple effector molecules T‐cell signatures. Taken together, calreticulin‐based therapy may represent a more promising prospect immunotherapy than

Language: Английский

Citations

21
A Systematic Review of Real-Time Deep Learning Methods for Image-Based Cancer Diagnostics DOI Creative Commons
Harini Sriraman,

Saleena Badarudeen,

Saransh Vats

et al.

Journal of Multidisciplinary Healthcare, Journal Year: 2024, Volume and Issue: Volume 17, P. 4411 - 4425

Published: Sept. 1, 2024

Deep Learning (DL) drives academics to create models for cancer diagnosis using medical image processing because of its innate ability recognize difficult-to-detect patterns in complex, noisy, and massive data. The use deep learning algorithms real-time is explored depth this work. Real-time determines the illness or condition that accounts a patient's symptoms outward physical manifestations within predetermined time frame. With waiting period anywhere between 5 days 30 days, there are currently several ways, including screening tests, biopsies, other prospective methods, can assist discovering problem, particularly cancer. This article conducts thorough literature review understand how DL affects length period. In addition, accuracy turnaround different imaging modalities evaluated with DL-based diagnosis. Convolutional neural networks critical diagnosis, achieving up 99.3% accuracy. effectiveness cost infrastructure required image-based diagnostics evaluated. According report, generalization problems, data variability, explainable some most significant barriers clinical trials. Making applicable will be made possible by DL.

Language: Английский

Citations

2
Gut microbiota patterns associated with somatostatin in patients undergoing pancreaticoduodenectomy: a prospective study DOI Creative Commons
Guanqun Li, Tao Zhang,

Weiguang Yang

et al.

Cell Death Discovery, Journal Year: 2020, Volume and Issue: 6(1)

Published: Sept. 28, 2020

Postoperative pancreatic fistula (POPF) is a common and dreaded complication after pancreaticoduodenectomy (PD). The gut microbiota has been considered as an crucial mediator of postoperative complications, however, the precise roles in POPF are unclear. A prospective study was developed to explore effects somatostatin on we aim identify microbial alterations process POPF. total 45 patients were randomly divided into PD group or additional therapy group. fecal sample each patient collected preoperatively postoperatively analyzed by 16S rRNA sequencing. Our found that independent risk factor for occurrence POPF, it reduced diversity richness patients. At genus level, led decreased abundance Bifidobacterium, Subdoligranulum Dubosiella, whereas Akkermansia, Enterococcus Enterobacter increased. levels certain bacteria have significantly shifted with LEfSe analysis revealed Ruminococcaceae could be used markers distinguishing high Furthermore, Verrucomicrobia Akkermansia preoperative biomarkers identifying without highlights specific communities related discovers POPF-associated marker, which suggests may become diagnostic biomarker potential therapeutic target

Language: Английский

Citations

18
A review on multimodal medical image fusion towards future research DOI

B. Venkatesan,

U. S. Ragupathy,

Indhu Natarajan

et al.

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(5), P. 7361 - 7382

Published: Aug. 20, 2022

Language: Английский

Citations

10
Development and Validation of a Nomogram Based on Perioperative Factors to Predict Post-hepatectomy Liver Failure DOI Open Access
Bin Xu, Xiao‐Long Li, Feng Ye

et al.

Journal of Clinical and Translational Hepatology, Journal Year: 2021, Volume and Issue: 000(000), P. 000 - 000

Published: March 15, 2021

Background and AimsPost-hepatectomy liver failure (PHLF) is a severe complication main cause of death in patients undergoing hepatectomy. The aim this study was to build predictive model PHLF

Language: Английский

Citations

11
Novel fluorescent GLUT1 inhibitor for precision detection and fluorescence image‐guided surgery in oral squamous cell carcinoma DOI Open Access
Yu Tian, Chu Tang,

Guangyuan Shi

et al.

International Journal of Cancer, Journal Year: 2022, Volume and Issue: 151(3), P. 450 - 462

Published: April 28, 2022

Abstract Early detection and complete resection of oral squamous cell carcinoma (OSCC) are crucial to improving patient survival prognosis. However, specifically targeted imaging probes for OSCC limited. Our study aimed synthesize a novel near‐infrared fluorescence (NIRF) probe precision image‐guided surgery in OSCC. Bioinformatics data indicated that glucose transporter 1 (GLUT1) is highly expressed patients with We demonstrated high specific GLUT1 expression upon immunohistochemical staining samples from 20 The was further validated both human lines tumor xenografts. Based on these findings, the inhibitor WZB117 utilized NIRF probe, WZB117‐IR820. molecular revealed WZB117‐IR820 could bind areas an orthotopic mouse model after intravenous injection be applied no residual CAL27‐fLUC model. For clinical translational application OSCC, precise delineation achieved topical by histopathological analyses. In conclusion, we synthesized fluorescent WZB117‐IR820, which has potential applications early observable toxicity.

Language: Английский

Citations

8
Enhanced multi-modal abdominal image registration via structural awareness and region-specific optimization DOI
Zhongdong Wang, Xukun Zhang, Xiaoying Wang

et al.

Pattern Recognition Letters, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

Citations

1
A review on treatments of hepatocellular carcinoma—role of radio wave ablation and possible improvements DOI Creative Commons
Sarada Prasad Dakua,

Anchal Nayak

Egyptian Liver Journal, Journal Year: 2022, Volume and Issue: 12(1)

Published: April 27, 2022

Abstract Background Currently, several treatment options are available for liver cancer depending on various factors such as location, size, shape, and function. Image fusion is required the diagnosis, intervention, follow-up of certain HCCs. Presently, mental only way while diagnosing lesions by comparing ultrasound (US) image with computed tomography (CT) image. Nevertheless, bound to have errors. The objective this paper study present hepatocellular carcinoma review options, list out their potential limitations, a possible alternative solution based findings reduce errors mistargeting. Methods This systematic carcinoma, especially radio wave ablation. Results It found that computer registration. Conclusions Although best use ablation, there been few open-ended questions further explore.

Language: Английский

Citations

7
G2NPAN: GAN-guided nuance perceptual attention network for multimodal medical fusion image quality assessment DOI Creative Commons

Chuangeng Tian,

Lei Zhang

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: May 13, 2024

Multimodal medical fusion images (MMFI) are formed by fusing of two or more modalities with the aim displaying as much valuable information possible in a single image. However, due to different strategies various algorithms, quality generated fused is uneven. Thus, an effective blind image assessment (BIQA) method urgently required. The challenge MMFI enable network perceive nuances between qualities, and key point for success BIQA availability valid reference information. To this end, work proposes generative adversarial (GAN) -guided nuance perceptual attention (G2NPAN) implement MMFI. Specifically, we achieve evaluation style via design GAN develop Unique Feature Warehouse module learn features from pixel level. redesigned loss function guides quality. In class activation mapping supervised employed obtain score. Extensive experiments validation have been conducted database images, proposed superior state-of-the-art method.

Language: Английский

Citations

1