Ergun Ahunbay, Brad Kimura, Feng Liu, Beth Erickson, X. Allen Li - - PowerPoint PPT Presentation

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Ergun Ahunbay, Brad Kimura, Feng Liu, Beth Erickson, X. Allen Li - - PowerPoint PPT Presentation

A Comparison of Various Online Strategies to Account for Interfractional Variations for Pancreatic Cancer Ergun Ahunbay, Brad Kimura, Feng Liu, Beth Erickson, X. Allen Li Medical College of Wisconsin Acknowledgements Brad Kimura Software:


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SLIDE 1

A Comparison of Various Online Strategies to Account for Interfractional Variations for Pancreatic Cancer

Ergun Ahunbay, Brad Kimura, Feng Liu, Beth Erickson, X. Allen Li Medical College of Wisconsin

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SLIDE 2

Acknowledgements

  • Brad Kimura
  • Chengliang Yang, MD
  • Feng Liu, PhD
  • An Tai, PhD
  • Guangpei Chen, PhD
  • X. Allen Li, PhD
  • Beth Erickson, MD

Software:

  • Prowess Panther
  • ABAS (CMS)
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SLIDE 3

Introduction

  • Prognosis for pancreatic cancer is poor (5% at 5 yrs)
  • Target dose limited by adjacent OAR (organs at risk) tolerances

(e.g. duodenum) due to large margins caused from significant inter- and intra-fractional variations

  • Intra-fractional errors

– Respiratory motion

  • Inter-fractional errors

– Translation, rotation, deformation, relative motion of organs

  • Strategies to account for these errors could help reduce

margins, in turn, allow higher doses to tumor.

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SLIDE 4

Pancreatic Tumor IGRT in clinic Intra-fraction motion:

  • 4D CT planning
  • Gated CT-on-rails with

gated delivery Inter-fraction Errors: Daily volumetric imaging with CT-on- Rails Diagnostic quality CT

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SLIDE 5

Inter-fractional Variations: pancreas head Soft-tissue based registration with gated CT

PTV 10 mm margin

Liu et al, 2011

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SLIDE 6

Relative OAR (Kidney) position change

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SLIDE 7

Online replanning

  • Online replanning would eliminate all the

inter-fractional errors, maintain best achievable target coverage, with inter- fraction margin = 0.

  • The challenge:

– time to generate a new dedicated plan using the CT of the day

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SLIDE 8

RealArt

Segment Aperture Morphing (SAM) & Segment Weight Optimization (SWO) 2 min 2-5 min

8-12 min for prostate cancer

Image Acquisition via CT-on-Rails Contour generation (auto segmentation with manual editing) Dose/DVH evaluation and comparison ART plan transferring & QA verification with software 1 min 2 min Delivery and documentation

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SLIDE 9
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SLIDE 10

Online Adaptive Replanning

  • realART (SAM+SWO) allows smaller (3-5mm)

PTV margin, compared to repositioning with typical ~10 mm margin)

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SLIDE 11

Adaptive v.s. Repositioning

  • Duodenum

10 cases

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SLIDE 12

Major Challenge of Online Replanning

Time for target/OAR contouring

– difficult for auto-segmentation due to large deformations – a large number of OARs

  • Duodenum
  • Bowels
  • Stomach
  • Kidneys
  • Liver
  • spinal cord
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SLIDE 13

Explore Nine Possible Online Scenarios

1. IGRT Repositioning (original plan with shifts from rigid registration, the current standard IGRT practice) 2. IGRT Repositioning with 2 mm additional margin 3. IGRT Repositioning with 5 mm additional margin 4. IGRT Repositioning (same as the Scenario 1) with dose scaled to maintain 95% coverage 5. Reoptimization starting from scratch 6. Reoptimization starting from the original plan (MLC positions and MUs) 7. Segment Aperture Morphing (SAM) 8. SAM + Segment Weight Optimization (SWO) 9. Reoptimization starting from the SAM plan

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SLIDE 14

Explore Nine Possible Online Scenarios

1. IGRT Repositioning (original plan with shifts from rigid registration, the current standard IGRT practice) 2. IGRT Repositioning with 2 mm additional margin 3. IGRT Repositioning with 5 mm additional margin 4. IGRT Repositioning (same as the Scenario 1) with dose scaled to maintain 95% coverage 5. Reoptimization starting from scratch 6. Reoptimization starting from the original plan (MLC positions and MUs) 7. Segment Aperture Morphing (SAM) 8. SAM + Segment Weight Optimization (SWO) 9. Reoptimization starting from the SAM plan

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SLIDE 15

Explore Nine Possible Online Scenarios

1. IGRT Repositioning (original plan with shifts from rigid registration, the current standard IGRT practice) 2. IGRT Repositioning with 2 mm additional margin 3. IGRT Repositioning with 5 mm additional margin 4. IGRT Repositioning (same as the Scenario 1) with dose scaled to maintain 95% coverage 5. Reoptimization starting from scratch 6. Reoptimization starting from the original plan (MLC positions and MUs) 7. Segment Aperture Morphing (SAM) 8. SAM + Segment Weight Optimization (SWO) 9. Reoptimization starting from the SAM plan

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SLIDE 16

Explore Nine Possible Online Scenarios

1. IGRT Repositioning (original plan with shifts from rigid registration, the current standard IGRT practice) 2. IGRT Repositioning with 2 mm additional margin 3. IGRT Repositioning with 5 mm additional margin 4. IGRT Repositioning (same as the Scenario 1) with dose scaled to maintain 95% coverage 5. Reoptimization starting from scratch 6. Reoptimization starting from the original plan (MLC positions and MUs) 7. Segment Aperture Morphing (SAM) 8. SAM + Segment Weight Optimization (SWO) 9. Reoptimization starting from the SAM plan

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SLIDE 17

Planning Details

  • Daily CTs acquired using respiration-gated in-room kVCT for 10

patients, 249 daily CTs

  • Direct Aperture Optimization based IMRT planning (Prowess)
  • Daily contours populated from the original plan CT by auto-

segmentation (ABAS, Elekta) with manual editing

  • 3 mm PTV margin to account for residual variations
  • Same constraints used for all plans for each case
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SLIDE 18

RESULTS

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SLIDE 19

Simple margin expansion can not eliminate underdosing of target (PTV3mm)

Repositioning with additional margin = 0mm Repositioning with additional margin = 2mm Repositioning with additional margin = 5mm D95% (relative to prescription dose) The fraction of number of days 5mm margin expansion can not eliminate underdosing for ~40% of days All other scenarios (SAM, SWO, rescaled repositioning, and reoptimizations have all days 95% coverage at Rx dose.

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SLIDE 20

1-Way ANOVA Analysis Mean Duodenum Dose

:mean values over all patients and all days :the 5% confidence range of statistical significance Difference is statistically significant if horizontally separated

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 21

Mean Duodenum Dose (cGy)

IGRT reposition with additional margins of 2mm and 5mm result in highest mean duodenum dose, difference is statistically significant

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 22

Mean Duodenum Dose (cGy)

Reoptimization plans resulted in lowest dose, significantly lower than IGRT Repositioning (with 0mm AM) They are statistically equivalent to each other

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 23

Mean Duodenum Dose (cGy)

SAM and SWO resulted slightly higher MDD (statistically insignificant) relative to optimizations

}

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 24

Mean Duodenum Dose (cGy)

IGRT repositioning with rescaling resulted in equivalent (statistically insignificant) MDD compared to w/o rescaling

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 25

Other Duodenum Parameters

The results of V-Rx are similar to MDD (prev. graphs) Duodenum D2% results are rather different, SAM and SWO has significantly larger doses (~5160cGy and 5200cGy on average respectively)

Duodenum volume covered by the Rx Dose Dose covering 2% of duodenum

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SLIDE 26

Other OAR Mean Doses

Liver Stomach Large bowel Small bowel

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SLIDE 27

Conformity Index (Total Volume Receiving Rx Dose / PTV3mm Volume)

Difference btw. SAM and IGRT with rescaling is statistically significant Difference btw. reoptimization from scratch and SAM is statistically significant

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SLIDE 28

Target Dose Inhomogeneity

Target dose Inhomogeneity was worst with SAM followed by SWO. The target dose is most uniform with larger margin plans, as they provide a larger area of uniform dose.

IGRT 0mm margin IGRT 2mm margin IGRT 5mm margin IGRT 0mm rescaled Reoptimization from Original Reoptimization from Scratch SAM SWO Reoptimization from SAM

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SLIDE 29

No daily contours

  • Repositioning with 0mm additional margin results in underdosing in ~50% of days.
  • Adding 2mm or 5mm margins would significantly increase the OAR doses (e.g. mean

duodenum dose by 15% and 22% respectively), while eliminating underdosing (49% and 40% of days with D95< Rx, respectively) Only the target volume

  • Rescaling to maintain 95% coverage everyday ascertains target coverage everyday and

results slightly lower OAR doses than no-rescaled IGRT (because most plans needs to be scaled down)

  • SAM results in even lower OAR doses, with adequate target coverage (SAM takes

<1second). All daily contours (target & OARs)

  • Reoptimizations generate the best plans (dosimetrically best is the reoptimization from

scratch).

  • Optimization takes a couple of minutes. Optimization from existing plan or SAM takes < 1

min, similar to SWO.

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SLIDE 30

Pre-Tx QA for Daily Plans?

Original plan

Reoptimization from existing plan Reoptimization from scratch

SAM

cumulative histogram of over MLC leaf position variations Of all MLC positions that were used by either the daily or original plans, 42% changed more than 3mm for SAM, and 28% were more than 5mm. The amount that exceeded 5mm (step size for Prowess optimization) for REOPT_OR, REOPT_SAM and REOPT_0 were 31%, 35% and 40% respectively.

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SLIDE 31

Reopt from Scratch Reopt from Original Plan SAM Reopt from SAM

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SLIDE 32

Conclusions

  • IGRT repositioning cannot fully address interfractional variations for

pancreas cancer.

  • Reoptimization methods would generate best dosimetric results

however they require extensive target and organ delineation.

  • Segment aperture morphing SAM yields comparable dosimetry but

requires only target delineation, and is a practical strategy.

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SLIDE 33

Future Direction

  • Online reoptimization with
  • nly the target contour

and the “directional ring structures”

  • Requires only the target

structure delineated

  • Directional rings are

generated automatically for the daily CT

– they maintain the dose gradient toward the OARs

Dashed: Regular Reoptimization Solid: Reoptimization with RINGs duodenum L Bowel S Bowel Stomach PTV