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SS 4.1 - Performance of CT imaging features for the identification of high-risk GI stromal tumours

Presentation Number
SS 4.1
Channel
On-demand channel 6

Abstract

Purpose

To investigate the diagnostic accuracy of CT imaging features for the identification of high-risk GI stromal tumors (GISTs).

Material and methods

This retrospective dual-institution study included patients with pathologically proven GIST meeting the following inclusion criteria: i) preoperative contrast-enhanced CT performed between 2007 and 2019; ii) lack of neoadjuvant treatment; iii) pathological analysis through resection specimens. Tumor risk stratifications were determined according to the National Institutes of Health (NIH) 2008 criteria. Two radiologists evaluated the CT imaging features, including enhancement pattern and tumor characteristics in a blinded fashion. The distribution of CT features between high-risk and low-to-intermediate-risk GISTs was assessed using univariate and multivariate binary logistic regression analyses. Statistical significance was set at p<0.05.

Results

The final population included 86 patients (58 men, 28 women, mean age 60.1±10.9 years) with 37 high-risk and 49 low-to-intermediate risk GISTs (mean diameter 8.6±6.2 cm). High-risk GISTs demonstrated more frequently heterogeneous enhancement (91.9% vs 44.9%, p<0.001), lobulated contours (86.5% vs 32.7%, p<0.001), ill-defined margins (37.8% vs 0%, p<0.001), exophytic growth (73.0% vs 49.0%, p=0.018), intralesional necrosis (67.6% vs 32.7%, p=0.001), cystic degeneration (10.8% vs 0%, p=0.031), intratumoral vessels (37.8% vs 6.1%, p<0.001), and enlarged feeding vessels (67.5% vs 4.1%, p<0.001) compared to low-to-intermediate-risk GISTs. At multivariate analysis, lobulated contours (OR: 0.12, 95% C.I.: 0.03-0.78, p=0.023) and enlarged feeding vessels (OR: 16.07, 95% C.I.: 1.89-136.19, p=0.010) remained independently associated with high-risk GIST.

Conclusion

Morphologic contrast-enhanced CT features are significantly different depending on the risk status and may help to predict patients with high-risk GIST.

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SS 4.2 - CT texture analysis of GI stromal tumours

Presentation Number
SS 4.2
Channel
On-demand channel 6

Abstract

Purpose

To evaluate the association between radiomic biomarkers extracted from baseline CT imaging, mitotic count, tumor mutational profile and prognostic Miettinen classification.

Material and methods

This retrospective multicenter observational study includes 63 histologically proven gastrointestinal stromal tumors (GISTs). Each lesion was manually segmented; 37 texture features were extracted either on a single slice and on the entire tumor volume. Reference standards: pathological findings and Miettinen classification. Patients were dichotomized with mitotic count (≤5/50HPF vs >5/50HPF), mutational status (c-KIT mutation vs PDGFRα and wild-type), patients prognosis (good prognosis class: none, very low and low risk vs poor prognosis class: intermediate and high risk). Univariate analysis using the Mann-Whitney test and multivariate analysis were performed; a stepwise logistic regression model was developed to predict patient's prognosis using 70% of patients as the training set and the remaining 30% as the test set.

Results

Eight 3D features discriminated lesions with low or high mitotic count (best AUC 0.81, best sensitivity 86%, best specificity 93%). Six 3D parameters detected GISTs based on the mutational group (best AUC 0.77, best sensitivity 75%, best specificity 79%) and three parameters correlated with risk class (best AUC 0.76, best sensitivity 72%, best specificity 85%). To differentiate between GIST at lower or higher risk of recurrence, the regression model used 6 different features with AUC 0.78, sensitivity 65%, specificity 79%, VPN 71% and VPP 73% on the training set, and AUC 0.83, sensitivity 88% and specificity 75% on the test set.

Conclusion

A good correlation between radiomics features, disease aggressiveness, mutational profile and risk of recurrence was observed. Results are promising; validation on external datasets is necessary to confirm the role as imaging biomarker.

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SS 4.3 - Imaging differentiation of intraabdominal desmoid tumour from peritoneal seeding in patients with a previous history of cancer surgery

Presentation Number
SS 4.3
Speakers:
Channel
On-demand channel 6

Abstract

Purpose

To investigate whether there are differential imaging features of intraabdominal desmoid tumor from peritoneal seeding in patients with a history of previous cancer surgery.

Material and methods

From January 2000 to June 2019, 32 patients who had pathologically proven intraperitoneal lesions developed after cancer surgery were enrolled. There were 17 desmoid tumors and 16 peritoneal seedings. Portal-phase CT and/or positron-emission tomography (PET) findings were analyzed by two board-certified radiologists in consensus for the following items: size, shape, margin, degree of enhancement and fluorodeoxyglucose (FDG) uptake, homogeneity, presence of intralesional fat, necrosis, calcification, adjacent organ invasion, peritoneal thickening, and mass effect. For quantitative analysis, the Hounsfield unit (HU) of lesions and psoas muscles as well as maximum standardized uptake value (SUVmax) of the lesions were measured. Imaging findings were compared between desmoid tumor and peritoneal seeding groups using statistical analysis methods.

Results

Desmoid tumors frequently showed iso-attenuation (14/17) while peritoneal seeding depicted high attenuation (12/16) compared to psoas muscle (P=0.001). Intralesional fat was more frequently found in desmoid tumors (8/17) than in peritoneal seeding (1/16) (P=0.017). Desmoid tumors frequently showed well-defined margin (9/17) and smooth contour (13/17) whereas peritoneal seeding had ill-defined margin (13/16) and lobuating contour (11/16) (P=0.041 and 0.009, respectively). HU ratio between the lesion and psoas muscle was not significantly different between desmoid tumor (1.15) and peritoneal seeding (1.23) (P=0.570). SUVmax (4.14) of desmoid tumor did not significantly differ from that (5.19) of peritoneal seeding (P=0.519).

Conclusion

Desmoid tumor can be non-invasively differentiated from peritoneal seeding based on CT findings in patients with a previous history of cancer surgery.

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SS 4.5 - Post-chemoradiotherapy assessment of anal carcinoma using MRI in biopsy-proven patients: preliminary results

Presentation Number
SS 4.5
Channel
On-demand channel 6

Abstract

Purpose

To evaluate the role of MRI in local response assessment and detection of early local relapse after chemoradiotherapy (CRT) in patients with anal squamous cell carcinoma (AC).

Material and methods

Twenty-three patients with histologically proven AC who completed pre-(t0), post-CRT 4-week(t1) and 20-week(t2) MRIs and pre-(t0) and post-CRT 20-week(t2) PET scan were included. Tumor size (D, mm), volume (V, cc), apparent diffusion coefficient (ADC, mm2/s), time to peak (TTP, sec) and SUV were recorded. Lesion biopsy performed at 6 months was the gold standard test for the evaluation of response to treatments (responder, r, or non-responders, nr). Data were analyzed using non-parametric test and ROC curve.

Results

Twenty patients were classified as responders. In the responder group, all the parameters significantly changed (decrease of D, V and SUV; increase of ADC and TTP). Non-responders had significantly higher values of D and V than responders at any time: Dt0[nr 80mm vs r 50mm, p=0.03]; Dt1[nr 50mm vs r 26mm, p=0.02]; Dt2[nr 28mm vs r 4mm, p=0.03; Vt0[180cc vs 35cc, p=0.008]; Vt1[nr 79cc vs r 4cc, p=0.006]; Vt2[nr 13cc vs r 0.13cc, p=0.01]. There were no significant differences of ADC, TTP and SUV in the two groups at any time. ROC curve identified as a threshold for responders: Vt0≤120 cc (AUC=0.99), Vt1≤40 cc (AUC=1.00), ΔV%t1≥80% (AUC=0.925) and Dt1≤40 mm (AUC=0.92).

Conclusion

Vt0≤120 cc, Vt1≤40 cc, ΔV%t1≥80% and Dt1≤40 mm seem to be markers of good response to treatment. After therapy, there is a significant increase of ADC and TTP in all patients, without a significant difference between the two groups: in the future, the addition of more non-responder patients could confirm this difference.

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SS 4.6 - Positron emission tomography/CT performed at 3 months following chemo-radiotherapy predicts outcomes in anal cancer

Presentation Number
SS 4.6
Channel
On-demand channel 6

Abstract

Purpose

Early salvage surgery after locoregional failure of chemoradiotherapy (CRT) for anal squamous cell carcinoma (ASCC) is associated with better outcomes. Previous data suggest equivocal findings on 3 months post-treatment MRI in more than half of cases, potentially delaying curative surgery or leading to unnecessary EUA and biopsy. We aimed to evaluate the effectiveness of 3m post-treatment positron emission tomography (PET)/CT in predicting outcomes in ASCC.

Material and methods

257 patients were consecutively managed for ASCC from January 2012 to January 2018. With local ethical approval, reports for 18F-fluorodeoxyglucose (FDG)-PET/CT performed 3 months following CRT were placed into 5 tumour regression categories based on combined qualitative and semiquantitative assessment of anal canal metabolic activity. Outcome measures were overall survival (OS) and locoregional treatment failure/time to progression. Univariable and complete case multivariable landmark analyses, 3-month landmark time, of the covariates of interest were conducted using the Cox proportional hazards model. Presentation of survival curves using the Kaplan-Meier method and p-values from the log-rank test is reported.

Results

243 patients were included. Patients who had residual disease at 3 months as suggested by the PET/CT Tumor regression grading (TRG) score and confirmed on EUA/biopsy had poorer prognosis. Multivariable analysis showed that PET/CT response was a strong predictor of locoregional failure (HR 7.14 (3.89-13.11), p<0.001) and overall survival (HR 7.55 (3.90-14.61), p<0.001).

Conclusion

FDG-PET/CT is highly accurate in assessing early response to treatment in ASCC, an excellent predictor of outcomes and streamline management pathways. This study supports the inclusion of PET/CT in response assessment for anal cancer.

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SS 4.9 - CT-based radiomics for the prediction of outcome after somatostatin analogues in patients with liver metastases of a neuroendocrine tumour: an exploratory study

Presentation Number
SS 4.9
Channel
On-demand channel 6

Abstract

Purpose

To explore the value of CT-based whole-liver radiomics for response evaluation and grade assessment in patients treated with somatostatin analogues (SSAs) for liver-metastasized neuroendocrine tumours (NET).

Material and methods

Thirty-eight consecutive patients with pathologically confirmed small intestine or pancreatic NET (grade 1=24/grade 2=14), treated with SSAs underwent contrast-enhanced CT. The whole liver was semi-automatically delineated on arterial phase with Philips Intellispace Portal, excluding main vessels and bile ducts. Five histogram features were extracted with Pyradiomics, using different Laplacian-of-Gaussian (LoG) filters. Response (progressive disease (PD) vs. stable disease (SD) or partial response (PR)) was assessed with RECIST1.1. Response and grade (1 vs. 2) were compared with Mann–Whitney U or independent t test. Univariate Cox regression was used for overall survival (OS) analyses.

Results

10/38 patients had PD (median follow-up 53 months) and 28 had PR/SD (median follow-up 65 months, p=0.065). Radiomics features did not significantly differ between patients with PD compared to patients with PR/SD. Kurtosis (unfiltered+LoG0.5) was significantly different between patients with grade 1 and 2 NET (p=0.05). Skewness, mean (LoG2.5) and kurtosis (LoG2.5) were significantly associated with OS (HR 0.76 (95%CI: 0.61-0.95); HR 1.96 (95%CI: 1.07-3.60) and HR 1.07 (95%CI: 1.02-1.12), respectively).

Conclusion

These preliminary data show no value for whole-liver CT-based radiomics to identify NET patients treated with SSAs that will show progression. Whole-liver CT-based radiomics might show the potential to identify patients at risk of impaired outcome (i.e. higher grade and OS). These findings need to be validated in a larger cohort and lesion-based analysis will be explored to investigate whether this leads to better results.

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SS 4.10 - Evaluation of predictive factors of radioembolisation-induced liver disease in patients with liver metastases treated with Y90-radioembolisation

Presentation Number
SS 4.10
Channel
On-demand channel 6

Abstract

Purpose

Y90-radioembolization is increasingly used in cancer patients. Even though Y90-radioembolization demonstrated to be safe and effective, in some cases it may lead to the so-called radioembolization-induced liver disease (REILD) that is characterized as the occurrence of jaundice and ascites 1-2 months after treatment in patients without tumor progression or bile duct obstruction. The purpose of our study was to identify risk factors of REILD in patients with liver metastases treated with Y90-radioembolization.

Material and methods

A retrospective analysis of a prospectively collected database was performed. 116 patients with liver metastases (mean age: 66 years, range 24-91y) were treated with Y90-radioembolization (2010-2017). Demographics, radiological, functional and clinical data, number and treatment parameters of SIRT, and administered treatments (chemo-/immunotherapy, liver-directed locoregional therapies) were analyzed. The effect of those parameters was determined by univariate analysis.

Results

78 patients were included in this ongoing analysis. Mean administered dose was 1.9GBq (0.3-5.87). The administered dose correlated with a significant increase in bilirubin and ASAT levels at 1 month post-SIRT (r=0.358, p=0.017 and r=0.39, p=0.006). A trend was observed for bilirubin at 3 months (r=0.288, p=0.068). 9 REILD were observed. Univariate logistic regression demonstrated that baseline y-GT was predictive of REILD (OR=1.302, 95%CI=1.045-1.66; p=0.022). None of the other investigated factors were predictive of the occurrence of REILD.

Conclusion

REILD is an uncommon but potentially severe complication that can happen in patients with liver metastases treated by Y90-radioembolization. Patients with elevated baseline y-GT are at increased risk of REILD.

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IGT 2.1 - Variceal upper GI Haemorrhage

Presentation Number
IGT 2.1
Speakers:
Channel
Live streaming channel 3

Abstract

Learning objectives

To understand the pathophysiology behind portal hypertension and variceal upper GI haemorrhage
To become familiar with the indication and technique of “early TIPSS”
To appreciate potential pitfalls and complications after an "early TIPSS" procedure
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IGT 2.2 - Non-variceal upper GI Haemorrhage

Presentation Number
IGT 2.2
Channel
Live streaming channel 3

Abstract

Learning objectives

To learn about the importance of optimising pre-procedure patient preparation
To become familiar with angiographic and embolisation techniques in patients with non-variceal upper GI intestinal bleeding
To appreciate how to avoid potential pitfalls and ensure a successful procedure
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SOE 4.1 - Liver, pancreas and bile ducts

Presentation Number
SOE 4.1
Channel
On-demand channel 5

Abstract

Learning objectives

To become familiar with hepatic morphology and vascular variants that can simulate liver disease
To learn the spectrum of anatomic variants and developmental anomalies of the pancreas and the pancreatic ductal system that may mimic pancreatic disease
To understand the normal biliary anatomy and know the main anatomical variants that may mimic disease
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SOE 1.1 - Main anatomy of the peritoneum

Presentation Number
SOE 1.1
Channel
Live streaming channel 2

Abstract

Learning objectives

To understand the peritoneal ligaments, mesenteries and their relation to peritoneal organs on cross-sectional imaging
To understand the peritoneal spaces, their communications and the main pathways for disease spread
To understand the anatomy of the retroperitoneum and extraperitoneal compartment and understand the main pathways of disease spread
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SOE 1.2 - Peritoneal disease and interpretation

Presentation Number
SOE 1.2
Channel
Live streaming channel 2

Abstract

Learning objectives

To list peritoneal tumours, learn their characteristic imaging findings and discuss the differential diagnosis
To understand the impact of imaging in the treatment and management of peritoneal tumours
To learn the most common pathologic conditions with secondary peritoneal involvement
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