Presentation is loading. Please wait.

Presentation is loading. Please wait.

MULTI-MODALITY IMAGING OF PREOPERATIVELY IRRADIATED SARCOMA PATIENTS DOES NOT PREDICT PATHOLOGICAL OUTCOME. Rick Haas Luc Dewit, Frits van Coevorden, Hans.

Similar presentations


Presentation on theme: "MULTI-MODALITY IMAGING OF PREOPERATIVELY IRRADIATED SARCOMA PATIENTS DOES NOT PREDICT PATHOLOGICAL OUTCOME. Rick Haas Luc Dewit, Frits van Coevorden, Hans."— Presentation transcript:

1 MULTI-MODALITY IMAGING OF PREOPERATIVELY IRRADIATED SARCOMA PATIENTS DOES NOT PREDICT PATHOLOGICAL OUTCOME. Rick Haas Luc Dewit, Frits van Coevorden, Hans Peterse, Claudette Loo, Renato Valdés Olmos NKI – AVL Amsterdam

2 MULTI-MODALITY IMAGING OF PREOPERATIVELY IRRADIATED SARCOMA PATIENTS DOES NOT PREDICT PATHOLOGICAL OUTCOME. …..or does it…..????

3 Objectives & Purpose Statement: Often treatment outcome can be predicted by specific imaging modalities. Sometimes very early after treatment initiation. (FDG-PET in imatinib treated GIST patients)

4 Objectives & Purpose Statement: Often treatment outcome can be predicted by specific imaging modalities. Sometimes very early after treatment initiation. (FDG-PET in imatinib treated GIST patients) Questions: Are imaging modalities able to predict radiation outcome in preoperatively irradiated sarcoma patients. And if so; which modality performs best.

5 Patients & Methods 15 patients received preoperative irradiation (50 Gy in 5 weeks) in various sarcoma subtypes. Baseline investigations: Pathology MRI CT FDG-PET Reevaluation: 4 weeks after radiotherapy

6 Patients & Methods; scoring Pathology:necrosis on biopsy material and the surgical specimen. MRI:necrosis on a 5 step scale tumor measurements CT:Houncefield Units (HU; average number over tumor volume) FDG-PET:SUV max SUV mean Note:pathology is “the golden standard”

7 Results(I) Necrosis is adequately predicted by modality % of cases SUV max 57% SUV mean 43% MRI50% HU 9%

8 Results(II) In 30% of cases volume after irradiation increased (140-236% relative to baseline). Performance of these tests was not significantly better in good responding myxoid liposarcomas patients as compared to other sarcoma subtypes.

9 Pathology

10 The “perfect radiosensitive tumor”

11 The “perfect radioresistent tumor”

12 Patients in this study

13 First Conclusions Multi-modality imaging in preoperatively irradiated sarcoma patients in this population did not adequately predict pathology outcome. Induction of necrosis and increase in volume is a common phenomenon. More patients and longer follow-up on local control is needed to fully appreciate the most appropriate imaging modality.

14 However…… Suppose you would consider a boost of 10Gy if 50Gy would not induce necrosis. Prerequisites: adequately define necrotic tumors after 50Gy enough is enough => no need of boost adequately define vital tumors after 50Gy don’t deny these patients a boost

15 However…… Suppose you would consider a boost of 10Gy if 50Gy would not induce necrosis. By ROC-curve analysis using a SUV max-preRT of 4.5 as a cut-off value Than: In 100% of cases necrosis correctly identified: 50Gy = enough; no boost

16 However…… Suppose you would consider a boost of 10Gy if 50Gy would not induce necrosis. By ROC-curve analysis using a SUV max-preRT of 4.5 as a cut-off value Than: In 100% of cases necrosis correctly identified: 50Gy = enough; no boost In 75% of cases vital tumor correctly identified: you "win" 75% of your patients who might need a boost at no loss of patients who get more RT, while not necessary

17 Final conclusions More patients and longer follow-up on local control is needed to fully appreciate the most appropriate imaging modality. Probably SUV max-preRT

18 Final conclusions More patients and longer follow-up on local control is needed to fully appreciate the most appropriate imaging modality. Probably SUV max-preRT This will be part of a new EORTC STBSG / ROG phase III trial. EORTC 6207NN / 2207NN


Download ppt "MULTI-MODALITY IMAGING OF PREOPERATIVELY IRRADIATED SARCOMA PATIENTS DOES NOT PREDICT PATHOLOGICAL OUTCOME. Rick Haas Luc Dewit, Frits van Coevorden, Hans."

Similar presentations


Ads by Google