1210 Complications of venous access port (VAP) in patients with non-seminomatous testicular germ cell tumours

Background: Thromboembolic events (TEEs) may significantly complicate the clinical management of patients with testicular germ cell tumours (GCTs). We analysed a cohort of GCT patients for the occurrence of TEEs and looked to possible pathogenetic factors. Patients, Methods: TEEs occurring within 6 months after diagnosis were retrospectively analysed in 317 consecutive patients with testicular GCT (median age 37 years, 198 seminoma, 119 nonseminoma). The following factors were analysed for association with TEE: histology, age, clinical stage (CS), chemotherapy, use of a central venous access device (CVA). Data analysis involved descriptive statistical methods with multivariable analysis to identify independent risk factors. Results: Twenty-three TEEs (7.3%) were observed, 18 deep vein thromboses, 4 pulmonary embolisms, and 1 myocardial infarction. Univariable risk calculation yielded the following odds ratios (ORs) : >CS1 OR = 43.7 (95% confidence intervals [CIs] 9.9–191.6); chemotherapy OR = 7.8 (95% CI 2.3–26.6); CVA OR = 30.5 (95% CI 11.0–84.3). Multivariable analysis identified only CS > 1 (OR = 16.9; 95% CI 3.5–82.4) and CVA (OR = 9.0; 95% CI 2.9–27.5) as independent risk factors. Conclusions: Patients with CSs >CS1 are at significantly increased risk of TEEs even without chemotherapy. Particular high risk is associated with the use of CVA devices for chemotherapy. Caregivers of GCT patients must be aware of the particular risk of TEEs.

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The Potential of Artificial Intelligence to Detect Lymphovascular Invasion in Testicular Cancer

Cancers ◽

10.3390/cancers13061325 ◽

2021 ◽

Vol 13 (6) ◽

pp. 1325

Author(s):

Abhisek Ghosh ◽

Korsuk Sirinukunwattana ◽

Nasullah Khalid Alham ◽

Lisa Browning ◽

Richard Colling ◽

...

Keyword(s):

Artificial Intelligence ◽

Testicular Cancer ◽

Germ Cell ◽

Lymphovascular Invasion ◽

Automatic Segmentation ◽

Prognostic Significance ◽

Germ Cell Tumours ◽

Testicular Germ Cell ◽

Testicular Germ Cell Tumours ◽

Whole Slide Images

Testicular cancer is the most common cancer in men aged from 15 to 34 years. Lymphovascular invasion refers to the presence of tumours within endothelial-lined lymphatic or vascular channels, and has been shown to have prognostic significance in testicular germ cell tumours. In non-seminomatous tumours, lymphovascular invasion is the most powerful prognostic factor for stage 1 disease. For the pathologist, searching multiple slides for lymphovascular invasion can be highly time-consuming. The aim of this retrospective study was to develop and assess an artificial intelligence algorithm that can identify areas suspicious for lymphovascular invasion in histological digital whole slide images. Areas of possible lymphovascular invasion were annotated in a total of 184 whole slide images of haematoxylin and eosin (H&E) stained tissue from 19 patients with testicular germ cell tumours, including a mixture of seminoma and non-seminomatous cases. Following consensus review by specialist uropathologists, we trained a deep learning classifier for automatic segmentation of areas suspicious for lymphovascular invasion. The classifier identified 34 areas within a validation set of 118 whole slide images from 10 patients, each of which was reviewed by three expert pathologists to form a majority consensus. The precision was 0.68 for areas which were considered to be appropriate to flag, and 0.56 for areas considered to be definite lymphovascular invasion. An artificial intelligence tool which highlights areas of possible lymphovascular invasion to reporting pathologists, who then make a final judgement on its presence or absence, has been demonstrated as feasible in this proof-of-concept study. Further development is required before clinical deployment.

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