scholarly journals An Enlarging Metastatic Calcified Liver Lesion of an Occult Melanoma

2018 ◽  
Vol 11 (2) ◽  
pp. 388-391
Author(s):  
Mohamad A. Mouchli ◽  
Sarah E. Kerr ◽  
Lewis Roberts

Calcified liver lesions are caused by a wide variety of factors. The most common lesions are inflammatory liver lesions followed by benign and malignant neoplasms. Hemangioma, one of the most common benign hepatic neoplasm in adults, often contains calcifications, in up to 20% of cases secondary to fibrosis and thrombosis of blood vessels. These calcifications are typically large, coarse, and located in the center of the lesions. Liver metastases, the most common malignant lesions found in the noncirrhotic liver, may contain areas of calcification. Radiologists should be aware of morphologic imaging features of calcified liver lesions to help differentiate benign from malignant lesions. Liver biopsy should be offered when the diagnosis is doubtful.

2019 ◽  
Vol 21 (4) ◽  
pp. 371 ◽  
Author(s):  
Giovanni Galati ◽  
Antonio De Vincentis ◽  
Paolo Gallo ◽  
Alessandro Guidi ◽  
Umberto Vespasiani-Gentilucci ◽  
...  

Aim: To evaluate the diagnostic value of Virtual Touch Quantification (VTQ®) for characterizing benign vs. malignant focal liver lesions (FLLs).Material and methods: From January 2015 to January 2016 all consecutive FLLs visualized during a conventional abdominal ultrasound (US), underwent VTQ® evaluation, taking five measurements of both the lesion and the surrounding parenchyma.Results: We studied 119 FLLs, consisting of 52 hemangiomas (HEs), 39 hepatocellular carcinomas (HCCs), and 28 liver metastases (METs). HEs showed a significantly lower shear wave velocity (SWV) values compared to malignant FLLs (HEs SWV median value 1.34 m/sec, IQR 0.9; malignant lesions SWV median value 2.69 m/sec, IQR 1.6; p<0.001). Moreover, a nodule-to-parenchyma SWV ratio showed a significant difference in HEs and METs (p<0.001) but not in HCCs (p=0.03). SWV values were able to correctly differentiate malignant lesions with c-statistics of 0.82 (95 % CI 0.74- 0.90) and sensitivity of 74.6%/specificity of 80.7% at a cut-off of 2 m/sec.Conclusions: Our results suggest that VTQ® is able to distinguish HEs from malignant lesions (HCCs and METs) at a SWV cut-off of 2 m/sec.


HPB Surgery ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-4
Author(s):  
M. I. Trochsler ◽  
Q. Ralph ◽  
F. Bridgewater ◽  
H. Kanhere ◽  
Guy J. Maddern

Despite the use of advanced radiological investigations, some liver lesions cannot be definitely diagnosed without a biopsy and histological examination. Laparoscopic Tru-Cut biopsy of the liver lesion is the preferred approach to achieve a good sample for histology. The mechanism of a Tru-Cut biopsy needle needs the use of both hands to load and fire the needle. This restricts the ability of the surgeon to direct the needle into the lesion utilising the laparoscopic ultrasound probe. We report a technique of laparoscopic liver biopsy using a disposable core biopsy instrument (BARD (R) disposable core biopsy needle) that can be used single-handedly. The needle can be positioned with laparoscopic graspers in order to reach posterior and superior lesions. This technique can easily be used in conjunction with laparoscopic ultrasound.


2017 ◽  
Vol 58 (11) ◽  
pp. 1288-1293 ◽  
Author(s):  
Mirna Abraham-Nordling ◽  
Emma Öistämö ◽  
Thomas Josephson ◽  
Fredrik Hjern ◽  
Lennart Blomqvist

Background Computed tomography (CT) is used routinely for the preoperative detection of colorectal cancer (CRC) metastases. When small indeterminate focal liver lesions are detected that are too small to characterize (TSTC) on CT, additional imaging is usually needed, resulting in a potential delay in obtaining a complete diagnostic work-up. Purpose To determine the diagnostic accuracy of ultrasound (US) of the liver performed in direct conjunction to CT in the preoperative investigation among patients with newly diagnosed CRC when indeterminate liver lesions were found on CT. Material and Methods Preoperative investigations with CT and consecutive US where CT had shown at least one focal liver lesion in 74 patients diagnosed with CRC between June 2009 and February 2012 were retrospectively reviewed. Either histopathological findings or a combination of imaging and clinical follow-up one to three years after surgery was used as the reference. Results Liver metastases were diagnosed with CT/US in 13 out of 74 patients (17.6%). In one patient, a liver cyst was preoperatively regarded as liver metastasis by a combined CT/US. The sensitivity and specificity for the CT with consecutive US procedure was 100% (13/13) and 98.4% (60/61). Conclusion US performed in conjunction with CT in patients with indeterminate focal liver lesions on CT is an accurate work-up for detection of liver metastases in patients with newly diagnosed CRC. Although our results are promising, they cannot be considered safely generalizable to all hospitals.


2021 ◽  
Vol 9 (1) ◽  
pp. 27-27
Author(s):  
obaid ashraf ◽  
naseer choh ◽  
omair shah

Background: Focal liver lesions have a broad differential diagnosis. MRI with its improved soft tissue characterization and newer sequences can significantly narrow the differentials especially when discriminating benign from malignant lesions. Methods: T1, T1 IN AND OUT OF PHASE, T2, LONG TE T2 AND Diffusion Weighted Imaging was done in 159 patients with USG documented focal liver lesion. Qualitative and quantitative assessment of ADC values and long TE images was done and a threshold for differentiating benign from malignant lesions was obtained. The MRI diagnosis was compared with final diagnosis obtained from histopathology in most cases or follow up and other tests (markers and RBC scan) were histopathology was not available. Sensitivity, specificity and accuracy of MRI sequences in differentiating various focal lesions were obtained. Results: T1 weighted images were useful for identifying fat, hemorrhage and iron within the lesions. T2 weighted imaging was able to correctly classify 82.0% lesions as malignant and 83.7% lesions as benign. Long TE T2 images were highly accurate in distinguishing haemangiomas and cysts from solid lesions. On diffusion-weighted (DW) imaging, 89.5% (i.e. 60 out of 67) lesions were correctly classified as malignant and 88.0% (i.e. 81 out of 92) lesions were correctly classified as benign. Threshold ADC value of 1.37 × 10-3 mm2/s is highly accurate for differentiating malignant from benign lesions. Conclusion: DWI is a sine qua non in liver lesion assessment allowing improved detection and characterization. Long TE T2 weighted imaging can accurately detect haemangiomas and cysts and rule out metastasis.


Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  

Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions. Methods: In this retrospective study 134 patients with a total of 139 focal liver lesions were included who underwent contrast enhanced ultrasound (CEUS) between 2008 and 2018. All examinations were performed by a single radiologist with more than 15 years of experience using a second-generation blood pool contrast agent. The standard of reference was histopathology (n = 60), MRI or CT (n = 75) or long-term CEUS follow up (n = 4). For post processing regions of interests were drawn both inside of target lesions and the liver background. Time–intensity curves were fitted to the CEUS DICOM dataset and the rise time (RT) of contrast enhancement until peak enhancement, and a late-phase ratio (LPR) of signal intensities within the lesion and the background tissue, were calculated and compared between malignant and benign liver lesion using Student’s t-test. Quantitative parameters were evaluated with respect to their diagnostic accuracy using receiver operator characteristic curves. Both features were then combined in a logistic regression model and the cumulated accuracy was assessed. Results: RT of benign lesions (14.8 ± 13.8 s, p = 0.005), and in a subgroup analysis, particular hemangiomas (23.4 ± 16.2 s, p < 0.001) differed significantly to malignant lesions (9.3 ± 3.8 s). The LPR was significantly different between benign (1.59 ± 1.59, p < 0.001) and malignant lesions (0.38 ± 0.23). Logistic regression analysis with RT and LPR combined showed a high diagnostic accuracy of quantitative CEUS parameters with areas under the curve of 0.923 (benign vs. malignant) and 0.929 (hemangioma vs. malignant. Conclusions: Quantified CEUS parameters are helpful to differentiate malignant from benign liver lesions, in particular in case of atypical hemangiomas.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Francesco Rizzetto ◽  
Francesca Calderoni ◽  
Cristina De Mattia ◽  
Arianna Defeudis ◽  
Valentina Giannini ◽  
...  

Abstract Background Radiomics is expected to improve the management of metastatic colorectal cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of variability on radiomic features (RFs). Methods After Ethics Committee approval, 70 liver metastases in 17 CRC patients were segmented on contrast-enhanced computed tomography scans by two residents and checked by experienced radiologists. RFs from grey level co-occurrence and run length matrices were extracted from three-dimensional (3D) regions of interest (ROIs) and the largest two-dimensional (2D) ROIs. Inter-reader variability was evaluated with Dice coefficient and Hausdorff distance, whilst its impact on RFs was assessed using mean relative change (MRC) and intraclass correlation coefficient (ICC). For the main lesion of each patient, one reader also segmented a circular ROI on the same image used for the 2D ROI. Results The best inter-reader contouring agreement was observed for 2D ROIs according to both Dice coefficient (median 0.85, interquartile range 0.78–0.89) and Hausdorff distance (0.21 mm, 0.14–0.31 mm). Comparing RF values, MRC ranged 0–752% for 2D and 0–1567% for 3D. For 24/32 RFs (75%), MRC was lower for 2D than for 3D. An ICC > 0.90 was observed for more RFs for 2D (53%) than for 3D (34%). Only 2/32 RFs (6%) showed a variability between 2D and circular ROIs higher than inter-reader variability. Conclusions A 2D contouring approach may help mitigate overall inter-reader variability, albeit stable RFs can be extracted from both 3D and 2D segmentations of CRC liver metastases.


2021 ◽  
Vol 28 (3) ◽  
pp. 2296-2307
Author(s):  
Marcin Szemitko ◽  
Elzbieta Golubinska-Szemitko ◽  
Jerzy Sienko ◽  
Aleksander Falkowski

Chemoembolization with irinotecan-loaded microspheres has proven effective in the treatment of unresectable liver metastases in the course of colorectal cancer (CRC). Most researchers recommend slowly administering the embolizate at the level of the lobar arteries, without obtaining visible stasis. However, there are reports of a relationship between postoperative embolizate retention in metastatic lesions and the response to treatment. To retain residual embolizate throughout the entire neoplastic lesion requires a temporary flow stop (stasis) within all supply vessels, which may cause temporary stasis in subsegmental or even segmental vessels. Objective: To assess the risk of complications and post-embolization syndrome severity following chemoembolization of CRC metastatic liver lesions with microspheres loaded with Irinotecan, with regard to hepatic-artery branch level of temporary stasis. Patients and methods: The study included 52 patients (29 female, 23 male) with liver metastases from CRC, who underwent 202 chemoembolization treatments (mean: 3.88 per patient) with microspheres loaded with 100 mg irinotecan. Postembolization syndrome (PES) severity and complication occurrence were assessed with regard to the hepatic-artery branch level of temporary stasis. Adverse events were assessed according to Cancer Therapy Evaluation Program Common Terminology Criteria for Adverse Events. Results: Median survival from the start of chemoembolization was 13 months. From 202 chemoembolization sessions, 15 (7.4%) significant complications were found. The study found a significant relationship between the branch level of temporary stasis and the presence of complications (p < 0.001), with the highest number of complications observed with temporary stasis in segmental vessels. PES was diagnosed after 103 (51%) chemoembolization treatments. A significant association was found between PES severity and the branch level of temporary stasis (p < 0.001). Conclusions: The branch level of temporary stasis affected the severity of post-embolization syndrome. A significant association was found between the branch level of temporary stasis obtained in chemoembolization procedures and the presence of complications. The apparent lack of change in numbers of complications when stasis was applied at tumor supply vessels or subsegmental arteries may indicate the safe use of temporary stasis in some cases where colorectal cancer metastases are treated. Further research is needed to determine the most effective chemoembolization technique.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247301
Author(s):  
Jelena Djokić Kovač ◽  
Marko Daković ◽  
Aleksandra Janković ◽  
Milica Mitrović ◽  
Vladimir Dugalić ◽  
...  

Background The utility of intravoxel incoherent motion (IVIM) related parameters in differentiation of hypovascular liver lesions is still unknown. Purpose The purpose of this study was to evaluate the value of IVIM related parameters in comparison to apparent diffusion coefficient (ADC) for differentiation among intrahepatic mass-forming cholangiocarcinoma (IMC), and hypovascular liver metastases (HLM). Methods Seventy-four prospectively enrolled patients (21 IMC, and 53 HLM) underwent 1.5T magnetic resonance examination with IVIM diffusion-weighted imaging using seven b values (0–800 s/mm2). Two independent readers performed quantitative analysis of IVIM-related parameters and ADC. Interobserver reliability was tested using a intraclass correlation coefficient. ADC, true diffusion coefficient (D), perfusion-related diffusion coefficient (D*), and perfusion fraction (ƒ) were compared among the lesions using Kruskal-Wallis H test. The diagnostic accuracy of each parameter was assessed by receiver operating characteristic (ROC) curve analysis. Results The interobserver agreement was good for ADC (0.802), and excellent for D, D*, and ƒ (0.911, 0.927, and 0.942, respectively). ADC, and D values were significantly different among IMC and HLM (both p < 0.05), while there was no significant difference among these lesions for ƒ and D* (p = 0.101, and p = 0.612, respectively). ROC analysis showed higher diagnostic performance of D in comparison to ADC (AUC = 0.879 vs 0.821). Conclusion IVIM-derived parameters in particular D, in addition to ADC, could help in differentiation between most common hypovascular malignant liver lesions, intrahepatic mass—forming cholangiocarcinoma and hypovascular liver metastases.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Shu-Hui Wang ◽  
Xin-Jun Han ◽  
Jing Du ◽  
Zhen-Chang Wang ◽  
Chunwang Yuan ◽  
...  

Abstract Background The imaging features of focal liver lesions (FLLs) are diverse and complex. Diagnosing FLLs with imaging alone remains challenging. We developed and validated an interpretable deep learning model for the classification of seven categories of FLLs on multisequence MRI and compared the differential diagnosis between the proposed model and radiologists. Methods In all, 557 lesions examined by multisequence MRI were utilised in this retrospective study and divided into training–validation (n = 444) and test (n = 113) datasets. The area under the receiver operating characteristic curve (AUC) was calculated to evaluate the performance of the model. The accuracy and confusion matrix of the model and individual radiologists were compared. Saliency maps were generated to highlight the activation region based on the model perspective. Results The AUC of the two- and seven-way classifications of the model were 0.969 (95% CI 0.944–0.994) and from 0.919 (95% CI 0.857–0.980) to 0.999 (95% CI 0.996–1.000), respectively. The model accuracy (79.6%) of the seven-way classification was higher than that of the radiology residents (66.4%, p = 0.035) and general radiologists (73.5%, p = 0.346) but lower than that of the academic radiologists (85.4%, p = 0.291). Confusion matrices showed the sources of diagnostic errors for the model and individual radiologists for each disease. Saliency maps detected the activation regions associated with each predicted class. Conclusion This interpretable deep learning model showed high diagnostic performance in the differentiation of FLLs on multisequence MRI. The analysis principle contributing to the predictions can be explained via saliency maps.


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