DWI HYLAND^TERENCE^EDWARD^MR
doneIschemic Core
| Core volume | 10.35 mL |
|---|
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⚠ Unverified link: MRN mismatch — clinical data linked by initials + admission date (DICOM MRN: 4030098, NEL MRN: 422841). Verify patient identity. Check source documentation.
Clinical Data (NEL · Scrawl #3949)
Presentation
- Hospital
- Port Macquarie Base Hospital
- Syndrome
- Stroke
- Diagnosis
- Acute ischaemic stroke for lysis and endovascular clot retrieval
- Age
- 72.0
- Gender
- Unknown
- Admission
- 2023-07-01 17:33
Severity & Outcome
- NIHSS at call
- 4.000000
- NIHSS day 0
- 9.0
- BP
- 170.0/105.0 mmHg
- Heart rate
- 119.0 bpm
- Premorbid mRS
- 0: No symptoms.
- Premorbid mRS (dc)
- 0.000000
- 90-day mRS
- 0.000000
Timing
- Last known well
- 2023-07-01 15:30
- CT scan
- 2023-07-01 17:51
- Thrombolysis
- 2023-07-01 18:22
- ECR performed
- False
- Neurology contact
- 2023-07-01 17:45
- Not thrombolysed
- Not applicable - thrombolysed
Risk Factors
- AF
- True
- Hypertension
- False
- Diabetes
- No
- Hypercholesterolaemia
- False
- Prior stroke
- False
- Prior TIA
- False
- Smoking
- No
Pre-admission Medications
- Antihypertensive
- False
- Antiplatelet
- False
- Anticoagulant
- True
- Statin
- False
Imaging Volumes — AI vs Clinical Record
| Measure | AI (mL) | Clinical record (mL) | Difference |
|---|---|---|---|
| CTP Core | 10.3 | 0.0 | 10.3 |
| CTP Penumbra | — | 84.0 | — |
| DWI Core | 10.3 | — | — |
CTP finding: Acute perfusion lesion · Quality: Good
Occlusion: Left M2 middle cerebral artery
Pipeline log
[23:41:15] Resolving study UID from AHI image set…
[23:41:15] StudyInstanceUID: 1.2.840.113704.7.1.0.32116203198196250.1688428796.1
[23:41:15] Batch prefix: batches/20260520T233306Z_1_2_840_113704_7_1_0_32116203198196250_1688428796_1/
[23:41:15] Setting inference status to PENDING and triggering infer tick…
[23:41:15] Waiting for DWI inference (polling every 10s, timeout 900s)…
[23:41:15] Inference status: PENDING
[23:41:25] Inference status: INFERENCING
[23:41:35] Inference status: INFERENCING
[23:41:45] Inference status: INFERENCING
[23:41:55] Inference status: INFERENCING
[23:42:05] Inference status: INFERENCING
[23:42:15] Inference status: FAILED
[FAILED]
Traceback (most recent call last):
File "/home/ec2-user/ahir-solution/research_dashboard/pipelines/dwi.py", line 207, in run
state = _poll_until_done(study_uid, log)
File "/home/ec2-user/ahir-solution/research_dashboard/pipelines/dwi.py", line 122, in _poll_until_done
raise RuntimeError(f"Inference {status}: {err}")
RuntimeError: Inference FAILED: infer subprocess failed rc=1
<frozen importlib._bootstrap_external>:1328: FutureWarning: The cuda.cudart module is deprecated and will be removed in a future release, please switch to use the cuda.bindings.runtime module instead.
[s3] downloaded 993 objects from s3://ahi-incoming/batches/20260520T233306Z_1_2_840_113704_7_1_0_32116203198196250_1688428796_1/
[select] DWI selected desc='ep2d_diff_4scan_trace_p2_s2_3mm_TRACEW' b=1000.0 files=42 slices=42
[select] Selected SeriesInstanceUID=1.3.12.2.1107.5.2.50.177636.30000023070311564673400000093 SeriesNumber=9 instances=42
[select] route=dwi model=dwi_segmentation
[select] DWI b-value filtering kept 42/42 slices at b~1000.0 (tol=120.0)
[convert] DICOM -> NIfTI: /srv/infer-work/tmp1zzw6wh0/output/input_image.nii.gz
Traceback (most recent call last):
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connection.py", line 198, in _new_conn
sock = connection.create_connection(
(self._dns_host, self.port),
...<2 lines>...
socket_options=self.socket_options,
)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/util/connection.py", line 85, in create_connection
raise err
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/util/connection.py", line 73, in create_connection
sock.connect(sa)
~~~~~~~~~~~~^^^^
ConnectionRefusedError: [Errno 111] Connection refused
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connectionpool.py", line 787, in urlopen
response = self._make_request(
conn,
...<10 lines>...
**response_kw,
)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connectionpool.py", line 493, in _make_request
conn.request(
~~~~~~~~~~~~^
method,
^^^^^^^
...<6 lines>...
enforce_content_length=enforce_content_length,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connection.py", line 445, in request
self.endheaders()
~~~~~~~~~~~~~~~^^
File "/home/ec2-user/miniconda3/lib/python3.13/http/client.py", line 1333, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ec2-user/miniconda3/lib/python3.13/http/client.py", line 1093, in _send_output
self.send(msg)
~~~~~~~~~^^^^^
File "/home/ec2-user/miniconda3/lib/python3.13/http/client.py", line 1037, in send
self.connect()
~~~~~~~~~~~~^^
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connection.py", line 276, in connect
self.sock = self._new_conn()
~~~~~~~~~~~~~~^^
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connection.py", line 213, in _new_conn
raise NewConnectionError(
self, f"Failed to establish a new connection: {e}"
) from e
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7fc64a59ba10>: Failed to establish a new connection: [Errno 111] Connection refused
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/adapters.py", line 667, in send
resp = conn.urlopen(
method=request.method,
...<9 lines>...
chunked=chunked,
)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/connectionpool.py", line 841, in urlopen
retries = retries.increment(
method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2]
)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/urllib3/util/retry.py", line 519, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=8000): Max retries exceeded with url: /infer/dwi_segmentation?output=image (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc64a59ba10>: Failed to establish a new connection: [Errno 111] Connection refused'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/AHIR/s3_to_monai_infer.py", line 1671, in <module>
main()
~~~~^^
File "/opt/AHIR/s3_to_monai_infer.py", line 1479, in main
infer_txt = run_monai_inference(dict(infer_params))
File "/opt/AHIR/s3_to_monai_infer.py", line 1457, in run_monai_inference
monailabel_infer_file(
~~~~~~~~~~~~~~~~~~~~~^
monai_url=monai_url,
^^^^^^^^^^^^^^^^^^^^
...<5 lines>...
infer_params=params,
^^^^^^^^^^^^^^^^^^^^
)
^
File "/opt/AHIR/s3_to_monai_infer.py", line 513, in monailabel_infer_file
r = requests.post(f"{monai_url}/infer/{model}", params=params, data=data, files=files, timeout=1800)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/api.py", line 115, in post
return request("post", url, data=data, json=json, **kwargs)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "/home/ec2-user/miniconda3/lib/python3.13/site-packages/requests/adapters.py", line 700, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='127.0.0.1', port=8000): Max retries exceeded with url: /infer/dwi_segmentation?output=image (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fc64a59ba10>: Failed to establish a new connection: [Errno 111] Connection refused'))
[06:56:46] Resolving study UID from AHI image set…
[06:56:47] StudyInstanceUID: 1.2.840.113704.7.1.0.32116203198196250.1688428796.1
[06:56:47] Batch prefix: batches/20260520T233306Z_1_2_840_113704_7_1_0_32116203198196250_1688428796_1/
[06:56:47] Setting inference status to PENDING and triggering infer tick…
[06:56:47] Waiting for DWI inference (polling every 10s, timeout 900s)…
[06:56:47] Inference status: PENDING
[06:56:57] Inference status: INFERENCING
[06:56:58] Resolving study UID from AHI image set…
[06:56:58] StudyInstanceUID: 1.2.840.113704.7.1.0.32116203198196250.1688428796.1
[06:56:58] Batch prefix: batches/20260520T233306Z_1_2_840_113704_7_1_0_32116203198196250_1688428796_1/
[06:56:58] Inference already INFERENCING — joining poll (not resetting)…
[06:56:58] Waiting for DWI inference (polling every 10s, timeout 900s)…
[06:56:58] Inference status: INFERENCING
[06:57:07] Inference status: INFERENCING
[06:57:08] Inference status: INFERENCING
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[06:57:48] Inference status: INFERENCING
[06:57:57] Inference status: INFERENCING
[06:57:58] Inference status: INFERENCING
[06:58:07] Inference status: INFERENCING
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[06:58:18] Inference status: INFERENCING
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[06:58:37] Inference status: INFERENCING
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[06:58:47] Inference status: INFERENCING
[06:58:48] Inference status: INFERENCING
[06:58:57] Inference status: COMPLETED
[06:58:57] Inference COMPLETED. Output: inference-results/1_2_840_113704_7_1_0_32116203198196250_1688428796_1/20260522T065647Z/
[06:58:57] Downloading inference outputs from S3…
[06:58:57] label downloaded
[06:58:57] Computing ischemic core volume…
[06:58:58] Ischemic core: 10.3 mL (voxel counts: {1: 8757})
[06:58:58] Uploading research outputs to S3…
[06:58:58] Uploaded 3 files
[06:58:58] DWI pipeline complete. Core: 10.3 mL
[06:58:58] Inference status: COMPLETED
[06:58:58] Inference COMPLETED. Output: inference-results/1_2_840_113704_7_1_0_32116203198196250_1688428796_1/20260522T065647Z/
[06:58:58] Downloading inference outputs from S3…
[06:58:58] label downloaded
[06:58:59] Computing ischemic core volume…
[06:58:59] Ischemic core: 10.3 mL (voxel counts: {1: 8757})
[06:58:59] Uploading research outputs to S3…
[06:58:59] Uploaded 3 files
[06:58:59] DWI pipeline complete. Core: 10.3 mL