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The Future of Imaging Pancreatic Cancer: From Cinematic Rendering to Radiomics to Deep Learning

The Future of Imaging Pancreatic Cancer: From Cinematic Rendering to Radiomics to Deep Learning

Elliot K. Fishman M.D.
Johns Hopkins Hospital

Click here to view this module as a video lecture.

 

Results: Of 2552 high-risk individuals under surveillance, 28 (1%) developed neoplastic progression to PC or high-grade dysplasia during follow-up (median 29 months after baseline, IQR 40). 46% (13/28) presented with a new lesion (median size 15 mm, range 7-57), a median of 11 months (IQR 8, range 3-17) after a prior examination, by which time 77% (10/13) had progressed beyond the pancreas. The other 54% (15/28) had neoplastic progression in a previously detected lesion (12 originally cystic, 2 indeterminate, 1 solid); 11 (73%) had PC progressed beyond the pancreas. The 12 patients with cysts had been followed for 21 months (IQR 15) and had a median growth of 5 mm/year (IQR 8). Successful early detection (as high-grade dysplasia or PC confined to the pancreas) was associated with resection of cystic lesions (versus solid or indeterminate lesions, OR 5.388, 95%CI 1.525-19.029) and small lesions (OR 0.890/mm, 95%CI 0.812-0.976).
Timeline of development of pancreatic cancer and implications for successful early detection in high-risk individual
Overbeek KA et al On behalf of the International Cancer of the Pancreas Screening Consortium
Gastroenterology (2021), doi: https://doi.org/10.1053/j.gastro.2021.10.014.

 

Background and aims: To successfully implement imaging-based pancreatic cancer (PC) surveillance, it is key to understand the timeline and morphological features of neoplastic progression. We aimed to investigate the progression to neoplasia from serial prediagnostic pancreatic imaging tests in high-risk individuals, and identify factors associated with successful early detection.
Methods: We retrospectively examined the development of pancreatic abnormalities in high-risk individuals who were diagnosed with PC and/or underwent pancreatic surgery in 16 international surveillance programs.
Conclusion: Nearly half of high-risk individuals developing high-grade dysplasia or PC have no prior lesions detected by imaging, yet present at an advanced stage. Progression can occur before the next scheduled annual examination. More sensitive diagnostic tools or a different management strategy for rapidly-growing cysts are needed.

 

Conclusion: Nearly half of high-risk individuals developing high-grade dysplasia or PC have no prior lesions detected by imaging, yet present at an advanced stage. Progression can occur before the next scheduled annual examination. More sensitive diagnostic tools or a different management strategy for rapidly-growing cysts are needed.
Timeline of development of pancreatic cancer and implications for successful early detection in high-risk individual
Overbeek KA et al On behalf of the International Cancer of the Pancreas Screening Consortium
Gastroenterology (2021), doi: https://doi.org/10.1053/j.gastro.2021.10.014.

 

Godfrey Hounsfield in 1971

Godfrey Hounsfield in 1971

 

How do we read a CT scan today?

1980
  • 4 images on 8 x 10 film
  • 30-40 scan slices per case
  • Acquisition time per study was 40-50 minutes (10 sec scan slides and 60 sec per slice reconstruction time)
  • Limited resolution studies

 

How do we read a CT scan today?

1990
  • 16 images on 14 x 17 film
  • 50-100 scan slices per case
  • Acquisition time per study was 30-40 minutes (5 sec scan per slice and 10 sec per slice reconstruction time)
  • Limited resolution studies

 

How do we read a CT scan today?

2020
  • Images reviewed on a computer (no film)
  • 2000-4000 scan slices per case
  • Acquisition time per study was 10 seconds or less with real time reconstruction (50 images /sec)
  • High resolution studies

 

CT of the Pancreas: Scan Analysis

  • Axial CT
  • Multiplanar Reconstruction (MPR)
  • 3D Imaging (Volume Rendering (VRT and MIP)
  • Cinematic Rendering (CR)
  • Radiomics
  • Deep Learning (DL)

 

What’s the future of Pancreatic Imaging 2021-2025

  • The information from a human review of the CT dataset is limited
  • Multiplanar imaging helps but has defined capabilities
  • 3D imaging is rarely done with passion and classic 3D (VRT and MIP) have set limitations

 

The key to pancreatic imaging is not thinner slices, more slices or minimal increase in resolution but analysis of the data using algorithms from computer graphics with advanced lighting models , AI including Radiomics and Deep Learning.

 

RSNA 1985

RSNA 1985

 

Drebin et al 1988
Pancreatic Cancer Imaging

 

Kroes et al 2012
Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

The range of visualizations in any case must change to visualize structures ranging from bone, to vasculature to muscle. Here is a case with IVDA and groin infection
Pancreatic Cancer Imaging

 

Trapezoid Creation

Trapezoid Creation

 

Current Preset Values

Current Preset Values

 

PNET Tail of Pancreas 1cm

PNET Tail of Pancreas 1cm

 

Neuroendocrine Tumor TOP With Calcifications

Neuroendocrine Tumor TOP With Calcifications

 

Cinematic Rendering and Tissue Texture in Oncology

  • Detect the presence of tumor when the texture differs but a defined mass may not be visible
  • Analyze texture for specific tumor types and with Radiomics to predict tumor type and grade
  • Analyze specific tumors to help predict optimal treatment and outcome

 

Serous Cystadenoma

Serous Cystadenoma

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Serous Cystadenoma

Serous Cystadenoma

 

Adenocarcinoma Pancreas

Adenocarcinoma Pancreas

 

Pancreatic Cancer Imaging

 

Texture Changes in the Gland

Texture Changes in the Gland

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

Adenocarcinoma Pancreas

Adenocarcinoma Pancreas

 

Pancreatic Cancer Imaging

 

Pancreatic Duct Transition and Subtle Mass

Pancreatic Duct Transition and Subtle Mass

 

Pancreatic Cancer Imaging

 

Pancreatic Cancer Imaging

 

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