Liver Surgery: Important Considerations for Pre- and Postoperative                     Imaging

Faria, Luisa Leitão de; Darce, George Felipe Bezerra; Bordini, Andre; Herman, Paulo; Jeismann, Vagner Birk; Oliveira, Irai S.; Ortega, Cinthia D.; Rocha, Manoel de Souza

doi:10.1148/rg.210124

Cited by 8 publications

(4 citation statements)

References 63 publications

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“…The incidence of portal vein thrombosis following resection ranges from 0.9 to 4.0%. 37 When portal vein thrombosis occurs greater than 30 days postoperatively, thrombosis often presents with signs of portal hypertension, such as splenomegaly or variceal hemorrhage, and portosystemic shunts may have had time to develop. When occurring more acutely, signs of hepatic dysfunction and transaminitis should prompt further evaluation with CT or ultrasound.…”

Section: Management Of Portal Venous Thrombosismentioning

confidence: 99%

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Minimally Invasive Management of Postoperative Complications in Patients with Cholangiocarcinoma

Schroeder,

White,

Tremblay

2024

Digestive Disease Interventions

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Cholangiocarcinoma is a rare, aggressive biliary tract malignancy representing only 3% of digestive cancers worldwide. Late diagnosis is common, which results in less than one-third of patients being eligible for surgical resection or liver transplantation. Surgery, however, is not without associated morbidity and mortality. This article seeks to review minimally invasive techniques for the management of complications following liver transplantation and hepatic resection for patients with cholangiocarcinoma.

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Section: Management Of Portal Venous Thrombosismentioning

confidence: 99%

“…The ability to localize the biliary defect is further increased when hepatocyte-selective contrast is utilized such as Eovist (gadoxetate acid). 37 43 Bilomas are at risk for abscess formation or development of sepsis and require prompt percutaneous drainage. Small biliary leaks may resolve spontaneously.…”

Section: Management Of Biliary Complicationsmentioning

confidence: 99%

Minimally Invasive Management of Postoperative Complications in Patients with Cholangiocarcinoma

Schroeder,

White,

Tremblay

2024

Digestive Disease Interventions

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“…The right portal vein later subdivides into anterior and posterior branches. Found in approximately 35% of patients, the two most common variants are trifurcation of the portal vein trunk and a right posterior branch as the first branch of the portal vein trunk, with the latter being more common and known as the Z-type pattern[ 68 , 69 ].…”

Section: Diagnostic Imagingmentioning

confidence: 99%

Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review

Horkaew,

Chansangrat,

Keeratibharat

et al. 2023

World J Gastrointest Surg

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The earliest and most accurate detection of the pathological manifestations of hepatic diseases ensures effective treatments and thus positive prognostic outcomes. In clinical settings, screening and determining the extent of a pathology are prominent factors in preparing remedial agents and administering appropriate therapeutic procedures. Moreover, in a patient undergoing liver resection, a realistic preoperative simulation of the subject-specific anatomy and physiology also plays a vital part in conducting initial assessments, making surgical decisions during the procedure, and anticipating postoperative results. Conventionally, various medical imaging modalities, e.g. , computed tomography, magnetic resonance imaging, and positron emission tomography, have been employed to assist in these tasks. In fact, several standardized procedures, such as lesion detection and liver segmentation, are also incorporated into prominent commercial software packages. Thus far, most integrated software as a medical device typically involves tedious interactions from the physician, such as manual delineation and empirical adjustments, as per a given patient. With the rapid progress in digital health approaches, especially medical image analysis, a wide range of computer algorithms have been proposed to facilitate those procedures. They include pattern recognition of a liver, its periphery, and lesion, as well as pre- and postoperative simulations. Prior to clinical adoption, however, software must conform to regulatory requirements set by the governing agency, for instance, valid clinical association and analytical and clinical validation. Therefore, this paper provides a detailed account and discussion of the state-of-the-art methods for liver image analyses, visualization, and simulation in the literature. Emphasis is placed upon their concepts, algorithmic classifications, merits, limitations, clinical considerations, and future research trends.

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“…Additionally, hepatic vascular bifurcation detection determines the sources of blood supply for liver cancer, such as the hepatic artery and portal vein, guiding interventional treatment and surgical planning. Hepatic vascular diseases, including hepatic artery aneurysm, hepatic vein thrombosis, and portal hypertension, affect the liver vascular system [3]. By accurately assessing the extent and scope of hepatic vascular diseases, hepatic vascular bifurcation detection enables the observation and determination of abnormal vessel conditions, such as dilation, stenosis, and thrombosis.…”

Section: Introductionmentioning

confidence: 99%

Vascular segment bifurcation detection and key point calculation based on CT radiomics

Chang,

Diao,

Wang

et al. 2024

Preprint

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Hepatic vascular neoplasms often occur at the bifurcation of hepatic blood vessels, making them vulnerable to ruptures and bleeding, which can be life-threatening. Therefore, accurately detecting and localizing hepatic vascular bifurcation is crucial for diagnosing hepatic vascular tumors and planning surgeries. However, existing research methods have limited sensitivity to noise and vascular deformations. To address this issue, we propose a classification algorithm based on radiomic feature extraction and machine learning (ML) techniques. We begin by segmenting and processing the original hepatic vascular CT images using Gaussian filtering to remove small connected regions. This process generates vessel mask images through alignment. Next, these images are annotated, and 1042 features are extracted through radiomic feature extraction. To simplify the model, we employ Lasso regression for feature selection, resulting in the identification of 82 optimal features. We then establish and experimentally validate a machine learning classification model. Our experimental results demonstrate that the SVM classification model performs the best, achieving a validation accuracy of 0.932, precision of 0.900, recall of 0.936, F1-score of 0.915, and AUC value of 0.987. Additionally, we compute the key points of vessel segments using both the projection method and the direct thinning method. Experimental comparisons reveal that the direct thinning method yields more accurate results.In conclusion, our proposed classification algorithm, utilizing radiomic feature extraction and machine learning techniques, is crucial for rapidly and accurately detecting hepatic vascular bifurcation. These findings have significant implications for improving the diagnosis and treatment of hepatic vascular tumors.

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Liver Surgery: Important Considerations for Pre- and Postoperative Imaging

Cited by 8 publications

References 63 publications

Minimally Invasive Management of Postoperative Complications in Patients with Cholangiocarcinoma

Minimally Invasive Management of Postoperative Complications in Patients with Cholangiocarcinoma

Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review

Vascular segment bifurcation detection and key point calculation based on CT radiomics

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