Comparison of laparoscopic ultrasound and liver-specific magnetic resonance imaging for staging colorectal liver metastases

Russolillo, Nadia; Borello, Alessandro; Langella, Serena; Casella, Michele; Tesoriere, Roberto Lo; Ferrero, Alessandro

doi:10.1007/s00464-020-07817-9

Cited by 12 publications

(5 citation statements)

References 20 publications

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“…Furthermore, IOUS is demonstrated to be able to modify preoperative strategy in up to a quarter of cases because of different vascular relationships or new nodules found during surgical exploration, despite the performance of a liver-specific MRI [39][40][41]. Similar results have been described in minimally invasive hepatectomies, with laparoscopic IOUS ensuring adequate perioperative and oncological safety compared to open liver surgery [42][43][44][45].…”

Section: Intra-operative Robotic Ultrasound Applicationmentioning

confidence: 77%

Augmented Reality and Image-Guided Robotic Liver Surgery

Giannone

Felli

Cherkaoui

et al. 2021

Cancers

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Artificial intelligence makes surgical resection easier and safer, and, at the same time, can improve oncological results. The robotic system fits perfectly with these more or less diffused technologies, and it seems that this benefit is mutual. In liver surgery, robotic systems help surgeons to localize tumors and improve surgical results with well-defined preoperative planning or increased intraoperative detection. Furthermore, they can balance the absence of tactile feedback and help recognize intrahepatic biliary or vascular structures during parenchymal transection. Some of these systems are well known and are already widely diffused in open and laparoscopic hepatectomies, such as indocyanine green fluorescence or ultrasound-guided resections, whereas other tools, such as Augmented Reality, are far from being standardized because of the high complexity and elevated costs. In this paper, we review all the experiences in the literature on the use of artificial intelligence systems in robotic liver resections, describing all their practical applications and their weaknesses.

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Section: Intra-operative Robotic Ultrasound Applicationmentioning

confidence: 77%

Augmented Reality and Image-Guided Robotic Liver Surgery

Giannone

Felli

Cherkaoui

et al. 2021

Cancers

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“…Compared to traditional open surgery, robotic-assisted minimally invasive surgery not only allows for the simultaneous resection of CRLMs and primary CRC, but also reduces intraoperative bleeding, postoperative complication rates, and postoperative hospital stays, while shortening the learning curve due to enhanced 3D full-high definition (HD) vision and wristed instruments ( 38 , 39 ). One study showed that laparoscopic ultrasound has better sensitivity than MRI for CRLMs, especially for lesions located in the liver dome ( 40 ), which may be due to the abnormal MRI signal in the liver dome. As far as we know, relatively few studies of DECT on CRLM have been conducted compared to studies of MRI.…”

Section: Discussionmentioning

confidence: 99%

Mono+ algorithm assessment of the diagnostic value of dual-energy CT for high-risk factors for colorectal cancer: a preliminary study

Chen,

Yang,

Chen

et al. 2024

Quant Imaging Med Surg

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Background Risk factors for colorectal cancer (CRC) affect the way patients are subsequently treated and their prognosis. Dual-energy computerized tomography (DECT) is an advanced imaging technique that enables the quantitative evaluation of lesions. This study aimed to evaluate the quality of DECT images based on the Mono+ algorithm in CRC, and based on this, to assess the value of DECT in the diagnosis of CRC risk factors. Methods This prospective study was performed from 2021 to 2023. A dual-phase DECT protocol was established for consecutive patients with primary CRC. The signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), overall image quality, lesion delineation, and image noise of the dual-phase DECT images were assessed. Next, the optimal energy-level image was selected to analyze the iodine concentration (IC), normalized iodine concentration (NIC), effective atomic number, electron density, dual-energy index (DEI), and slope of the energy spectrum curve within the tumor for the high- and low-risk CRC groups. A multifactor binary logistic regression analysis was used to construct a differential diagnostic regression model for high- and low-risk CRC, receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated to assess the diagnostic value of the model. Results A total of 74 patients were enrolled in this study, of whom 41 had high-risk factors and 33 had low-risk factors. The SNR and CNR were best at 40 keV virtual monoenergetic imaging (VMI) based on the Mono+ algorithm (VMI+) (SNR 8.79±1.27, P<0.001; CNR 14.89±1.77, P=0.027). The overall image quality and lesion contours were best at 60 keV VMI+ and 40 keV VMI+, respectively (P=0.001). Among all the DECT parameters, the arterial phase (AP)-IC, NIC, DEI, energy spectrum curve, and venous phase-NIC differed significantly between the two groups. The AP-IC was the optimal DECT parameter for predicting high- and low-risk CRC with AUC, sensitivity, specificity, and cut-off values of 0.96, 97.06%, 87.80%, and 2.94, respectively, and the 95% confidence interval (CI) of the AUC was 0.88–0.99. Integrating the clinical factors and DECT parameters, the AUC, sensitivity, specificity, and predictive accuracy of the model were 0.99, 100.00%, 92.68%, and 94.67%, respectively, and the 95% CI of the AUC was 0.93–1.00. Conclusions The DECT parameters based on 40 keV noise-optimized VMI+ reconstruction images depicted the CRC tumors best, and the clinical DECT model may have significant implications for the preoperative prediction of high-risk factors in CRC patients.

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“…The dramatic increase of laparoscopically performed liver resections might also require application of laparoscopic ultrasound; its sensitivity in CRLM detection is superior to that of MRI (93.1% vs. 85.6%, respectively), with similar specificities (96.5% vs. 98.6%, respectively). New nodules might be found in 10.9% of patients, resulting in intraoperative surgical strategy modification in 13% [ 34 ▪ ].…”

Section: Feasibility Of Intraoperative Ultrasound In the Diagnosis Of...mentioning

confidence: 99%

The use of ultrasound in colonic and perianal diseases

Fábián

Bor

Szepes

2022

Current Opinion in Gastroenterology

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Purpose of reviewTo revise recent literature findings regarding the use of ultrasound in colonic and perianal diseases by focusing particularly on its feasibility in inflammatory bowel diseases (IBD), colorectal neoplastic lesions, and perineal diseases, with further highlight on interventional capabilities. Recent findingsTreat-to-target approach in IBD raised an interest in intestinal ultrasound (IUS) for monitoring bowel activity considering its noninvasive nature, low costs, and well tolerability. New IUS indices have been developed with ever better methodologies and are at various stage of validation. A standardized over-the-wire technique for colonic US using a flexible overtube enables endoscopic ultrasound (EUS)-guided tissue sampling beyond the rectum, and forward-viewing radial-array echoendoscopes can assist identification of early neoplastic lesions in proximal colon. Intraoperative ultrasound and contrast-enhanced ultrasound carry an additional diagnostic value compared to conventional preoperative imaging modalities in detecting colorectal cancer liver metastases (CRLM).

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Comparison of laparoscopic ultrasound and liver-specific magnetic resonance imaging for staging colorectal liver metastases

Cited by 12 publications

References 20 publications

Augmented Reality and Image-Guided Robotic Liver Surgery

Augmented Reality and Image-Guided Robotic Liver Surgery

Mono+ algorithm assessment of the diagnostic value of dual-energy CT for high-risk factors for colorectal cancer: a preliminary study

The use of ultrasound in colonic and perianal diseases

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