Advanced imaging techniques for chronic pancreatitis

Parakh, Anushri; Tirkes, Temel

doi:10.1007/s00261-019-02191-0

Cited by 28 publications

(28 citation statements)

References 136 publications

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“…In looking forward to the future, researchers may successively report some multicenter, prospective, large sample size, and high RQS studies. In addition to these, predicting AP clinical outcomes of organ failure, infection, death, hospitalization, admission to intensive care unit (ICU) and invasive intervention; quantifying pancreatic exocrine or (and) endocrine insufficiency; predicting the possibility of AP progress to CP or CP progress to PC; and effectively combining deep learning or some other technologies with radiomics may become the potential directions (81)(82)(83)(84)(85)(86)(87).…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

Yan

Gaowen²,

et al. 2022

Front. Med.

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Radiomics involves high-throughput extraction and analysis of quantitative information from medical images. Since it was proposed in 2012, there are some publications on the application of radiomics for (1) predicting recurrent acute pancreatitis (RAP), clinical severity of acute pancreatitis (AP), and extrapancreatic necrosis in AP; (2) differentiating mass-forming chronic pancreatitis (MFCP) from pancreatic ductal adenocarcinoma (PDAC), focal autoimmune pancreatitis (AIP) from PDAC, and functional abdominal pain (functional gastrointestinal diseases) from RAP and chronic pancreatitis (CP); and (3) identifying CP and normal pancreas, and CP risk factors and complications. In this review, we aim to systematically summarize the applications and progress of radiomics in pancreatitis and it associated situations, so as to provide reference for related research.

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Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

Yan

Gaowen²,

et al. 2022

Front. Med.

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“…The spectral curve of hypo-attenuating gallstones, poorly detectable on CT, presents a slope typically opposite to water at low-keV: this may be relevant in patient with acute biliary pancreatitis (Figure 3) (49). Conversely, the monochromatic images at high keV may be helpful in the management of streaking artifacts in patients with biliary prostheses (12). The monochromatic images also improve the detection of liver metastases, both hypervascular and hypovascular, while staging the PDAC in CT (50,51).…”

Section: Dual Energy Ct: Qualitative and Quantitative Evaluationsmentioning

confidence: 99%

“…The perfusion study consists in multiple, post-contrast acquisitions with high temporal resolution (12,17). Perfusion studies require the administration of a relatively small bolus of contrast material (12-18 g of iodine) with a high injection rate (≥4 mL/s) and a medium-to-high concentration (>300 mg/mL).…”

Section: Quantitative Ct: Perfusionmentioning

confidence: 99%

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New advances in CT imaging of pancreas diseases: a narrative review

et al. 2020

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Computed tomography (CT) plays a pivotal role as a diagnostic tool in many diagnostic and diffuse pancreatic diseases. One of the major limits of CT is related to the radiation exposure of young patients undergoing repeated examinations. Besides the standard CT protocol, the most recent technological advances, such as low-voltage acquisitions with high performance X-ray tubes and iterative reconstructions, allow for significant optimization of the protocol with dose reduction. The variety of CT tools are further expanded by the introduction of dual energy: the production of energy-selective images (i.e., virtual monochromatic images) improves the image contrast and lesion detection while the materialselective images (e.g., iodine maps or virtual unenhanced images) are valuable for lesion detection and dose reduction. The perfusion techniques provide diagnostic and prognostic information lesion and parenchymal vascularization and interstitium. Both dual energy and perfusion CT have the potential for pushing the limits of conventional CT from morphological evaluation to quantitative imaging applied to inflammatory and oncological diseases. Advances in post-processing of CT images, such as pancreatic volumetry, texture analysis and radiomics provide relevant information for pancreatic function but also for the diagnosis, management and prognosis of pancreatic neoplasms. Artificial intelligence is promising for optimization of the workflow in qualitative and quantitative analyses. Finally, basic concepts on the role of imaging on screening of pancreatic diseases will be provided.

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“…CT scan has proved quite helpful in predicting overall outcomes of SAP in early stages 9 . Multidetector CT (MDCT) is mandatory to perform a contrast CT of pancreas 4 , allowing acquisition of thin slices with higher image resolution in a short time with improved details of parenchymal, arterial, and portal venous enhancement 10 . Over these last two decades, various radiological prognostic scoring systems have been proposed 11 .…”

Section: Introductionmentioning

confidence: 99%

Diagnostic accuracy of computed tomography scoring index in predicting mortality among suspected patients of acute pancreatitis

Omair

Azmat²,

Rakhshani³

2021

Int. j. endorsing health sci. res.

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Background: Acute pancreatitis (AP) is challenging, varying from subtle edema to parenchymal necrosis in severity. Several clinical and radiological scoring criteria have been formulated over the years to predict the disease intensity of AP to guide monitoring and intervention. This study aimed to establish the diagnostic accuracy of high Balthazar’s computed tomography scoring index (CTSI) in predicting outcomes in terms of mortality and morbidity among suspected cases of the acutely inflamed pancreas. Methodology: A cross-sectional study was carried out at the Radiology Department of Jinnah Postgraduate Medical Center (JPMC), Karachi. A total of 1434 clinically suspected AP patients were included in this study. The initial diagnosis was made through contrast-enhanced computed tomography (CECT) of the abdomen. Balthazar's CTSI ascertained the disease severity, and outcomes were recorded in terms of survival and death. Results: The gender distribution showed a male majority, i.e. 789(55%), and most patients were in the 45-55 year age group comprising 650 patients (45.3%). Moreover, out of 1434 patients, 397(28%) died while the rest survived. This study showed that high CTSI is a prognostic indicator of mortality in suspected cases of AP. It has a sensitivity of 91.9%, specificity of 88.72%, a positive predictive value (PPV) of 94.5% and a negative predictive value (NPV) of 83.98%. Overall diagnostic accuracy (DA) was found to be 90.9%. Conclusion: It is concluded from the study results that Balthazar’s CT severity index is reliable in establishing severity and disease outcome in AP. Thus, its routine application should be encouraged for timely detection and appropriate management of AP.

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Advanced imaging techniques for chronic pancreatitis

Cited by 28 publications

References 136 publications

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review

New advances in CT imaging of pancreas diseases: a narrative review

Diagnostic accuracy of computed tomography scoring index in predicting mortality among suspected patients of acute pancreatitis

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