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+=== "1"
+    ```python
+    text = "Un AOMI"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [AOMI]
+    ```
+=== "2"
+    ```python
+    text = "Présence d'un infarctus rénal"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [infarctus rénal]
+    ```
+=== "3"
+    ```python
+    text = "Une angiopathie cérébrale"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```
+=== "4"
+    ```python
+    text = "Une angiopathie"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [angiopathie]
+    ```
+=== "5"
+    ```python
+    text = "Une thrombose cérébrale"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```
+=== "6"
+    ```python
+    text = "Une thrombose des veines superficielles"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```
+=== "7"
+    ```python
+    text = "Une thrombose"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [thrombose]
+    ```
+=== "8"
+    ```python
+    text = "Effectuer un bilan pre-trombose"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```
+=== "9"
+    ```python
+    text = "Une ischémie des MI est remarquée."
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [ischémie des MI]
+    span = spans[0]
+    span._.assigned
+    # Out: {'peripheral': [MI]}
+    ```
+=== "10"
+    ```python
+    text = "Plusieurs cas d'EP"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [EP]
+    ```
+=== "11"
+    ```python
+    text = "Effectuer des cures d'EP"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```
+=== "12"
+    ```python
+    text = "Le patient est hypertendu"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: [hypertendu]
+    ```
+=== "13"
+    ```python
+    text = "Une hypertension portale"
+    doc = nlp(text)
+    spans = doc.spans["peripheral_vascular_disease"]
+    spans
+    # Out: []
+    ```