Pancreatic cyst (patients 80 years old and greater) detection with recommendations for management on CT

Purpose

To detect pancreatic cysts of all sizes on CT and provide follow-up recommendations for patients 80 years old and above.

Tag(s)

 

Panel

Abdominal

Define-AI ID

22020019

Originator

Luther B. Adair, II
Lead Luther B. Adair, II

Panel Chair

Luther B. Adair, II

Panel Reviewers

Kiran Thakrar and Andrew Smith

License

Creative Commons 4.0
Status Public Comment
 RadElement Set RDES210 
                               

Clinical Implementation


Value Proposition


Incidentally discovered pancreatic cysts can be a challenging diagnostic conundrum for radiologists.  Standardizing the recommendations for followup and workup of these findings serves to help guide clinicians and ordering providers in a more reliable way and can potentially allow a data set to be created that allows research committees to modify the guidelines around incidentally discovered pancreatic cysts.  Upon discovering a pancreatic cyst, these guidelines proposed in the article Management of Incidental Pancreatic Cysts:  A White Paper of the ACR Incidental Findings Committee, 2017 will serve to offer a standardized and efficient approach to categorizing the incidental pancreatic cyst and the recommendations for follow-up .



Narrative(s)


An 81-year old patient presents to the emergency room with epigastric pain and a CT scan of the abdomen with contrast is ordered.   A 1.7 cm cyst is incidentally found on the pancreas without high risk features.


An 85-year old patient is sent to the emergency room from their nursing home for general abdominal pain, at which time a CT scan of the abdomen and pelvis without  intravenous contrast is ordered due to mild renal failure.  A 3.7 cm cyst is incidentally found on the pancreas which is indeterminate for high risk features. 


Workflow Description


The relevant images are obtained from modality and sent to PACS and the AI engine based on anatomic landmarks.  The images are analyzed by the engine.  The system then detects the relevant outputs providing associated categorical data, density, and measurements.  An alert message is sent to PACS from the engine with the information, identification, and graphics highlighting the pancreatic lesion, and the density of the pancreatic lesion.  If the patient is 80 years or older AND a cyst is present, the recommendations for followup are based on its size and whether or not high risk features are present.  


An algorithm evaluates the CT scan and categorizes whether a pancreatic lesion is present, absent, or undetermined. If present, it then measures the density of the lesion in Hounsfield units; assesses whether it is a cyst with Hounsfield units measuring less than 20, a solid lesion with Hounsfield units measuring greater than 30, or indeterminate with Hounsfield units between 20 and 30.  If the lesion is solid or indeterminate, then additional imaging is recommended.  If a cyst is determined to be present, the algorithm measures the size.  


If the patient is 80 years old or older, the algorithm adjusts the recommendations based on whether or not the cyst is 2.5 cm or smaller versus greater than 2.5 cm.  The algorithm then further categorizes cysts greater than 2.5 cm into those with high risk features by imaging, indeterminate for high risk features,  or no high risk features. High risk features include a cyst that has any solid components or mass effect on the main duct (detection of dilated MPD greater than or equal to 7 mm.  For example, once the patient has been determined to be 80 years or older: 


  • If the cyst is 2.5 cm or smaller, a recommendation is made to to reimage every 2 years x 2.  

  • If the cyst is greater than 2.5 cm AND does not have high risk features as defined above OR this is indeterminate, a recommendation is made  to reimage every 2 years x 2. 

  • If the cyst is greater than 2.5 cm AND there are high risk features as defined above, a recommendation is made to perform endoscopic ultrasound with fine needle aspiration (EUS/FNA) and consider surgical consultation. 


These recommendations are first suggested to the radiologist for sign off and once the case is approved, they are available to the ordering provider within the report.  These recommendations are based on the article, Management of Incidental Pancreatic Cysts:  A White Paper of the ACR Incidental Findings Committee, 2017.  


 


Considerations for Dataset Development


Procedures

{CT Abdomen with contrast, CT Abdomen and pelvis with contrast}

View(s)

{Axial, Coronal, Sagittal}

Age

[80,120]

Sex at Birth

{Male, Female}

Other

{pancreatic ductal dilatation, pancreatic mass, pancreatic stent/drain, Whipple, artifact from adjacent surgical clips, pancreatitis with peripancreatic fluid, pseudocysts}


Technical Specifications


Inputs

 

DICOM Study

Procedure

CT Abdomen with contrast, CT Abdomen and Pelvis with/without contrast

Views

axial, coronal, sagittal

Data Type

DICOM

Modality

CT

Body Region

Abdomen

Anatomic Focus

Pancreas



Primary Outputs


Pancreatic Lesion Detection

RadElement ID

RDE1281

Definition

Detection of lesion

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A

Pancreatic Lesion Measurement

RadElement ID

RDE1282

Definition

If a pancreatic lesion is present then determine maximal size measurement.

Data Type

Numeric

Value Set

N/A

Units

mm


Pancreatic Lesion Density Measurement

RadElement ID

RDE1283

Definition

If a pancreatic lesion is present then determine density in Hounsfield units.

Data Type

Numeric

Value Set

N/A

Units

HU (Hounsfield units)


Pancreatic Lesion Categorization

RadElement ID

RDE1284

Definition

Categorization of cyst if lesion attenuation is less than or equal to 20 HU, categorization as undetermined if lesion attenuation is 21-29 HU, and categorized as solid if lesion attenuation is greater than or equal to 30 HU.

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A




Secondary Outputs


Pancreatic Cyst Measuring Less than or equal to 2.5 cm Present

RadElement ID

RDE1345

Definition

Detection of cyst measuring less than or equal to 2.5 cm

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A


Pancreatic Cyst Measuring Greater than 2.5 cm Present

RadElement ID

RDE1379

Definition

Detection of cyst measuring greater than 2.5 cm

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A


Dilatation of the Main Pancreatic Duct

RadElement ID

RDE1346

Definition

Detection of dilated MPD greater than or equal to 7 mm

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A


Detection of Solid Components in the Cyst

RadElement ID

RDE1380

Definition

Detection of solid components in the cyst

Data Type

Categorical

Value Set

  • Absent

  • Present

  • Undetermined

Units

N/A

Future Development Ideas


  • Further evaluation of the solid pancreatic lesion with follow up recommendations. 

  • Evaluation of the peripancreatic fat for stranding to assess for superimposed pancreatitis and peripancreatic collections.