Individualising prescription dose to lung tumours based on...

75
Individualising prescription dose to lung tumours based on NTCP M. Schwarz [email protected] Agenzia Provinciale per la Protonterapia Trento

Transcript of Individualising prescription dose to lung tumours based on...

Page 1: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Individualising prescription dose to lung tumours based

on NTCP

M. Schwarz [email protected]

Agenzia Provinciale per la Protonterapia Trento

Page 2: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

RT for the lung: where are we ?

• Typical ‘radical’ doses < 70 Gy • (Very) disappointing local control • CRT has technical limitation • Use of functional imaging for target delineation

still at the early stages

Page 3: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

0

20

40

60

80

100

0 20 40 60 80 100

Dose (Gy)

Loca

l con

trol (

%)

Vijayakumar

Arriagada

Martel

Rationale for RT dose escalation

Page 4: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

AvL-NKI Phase I/II dose escalation study using 3D CRT

Establish maximum tolerated dose (MTD)

using 3D CRT

Grade 3 RP chosen as primary endpoint

Dose escalation scheme based on risk estimate of RP

Belderbos J. et al. IJROBP 2006

Page 5: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes
Page 6: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Delivered dose by patient subgroup

Patients grouped by rMLD

Belderbos et al, IJROBP 2006

Page 7: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Benefits of dose escalation

Belderbos et al, IJROBP 2006 Kong et al, IJROBP 2005

Page 8: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

What do we need for a safe dose escalation ?

•Consistency between treatment planning and delivery

•Geometry •Anatomy representation •Target delineation

•Dosimetry •Robust dose response models for the OARs •Irradiation techniques allowing to escalate the dose

Page 9: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose algorithm The need of accurate dose engine for lung treatmement plans

should not be a matter of discussion these days.

M. Engelsman, R&O 2001

-15 -10 -5 0 5 10 15 0

20

40

60

80

100

d (from central axis, cm)

Dos

e (%

of c

entr

al a

xis)

TPS1 TPS2 Film

Page 10: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose algorithm D

e Ja

eger

et a

l, R

&O

200

3

Page 11: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Influence of dose calculation on NTCP parameters

De Jaeger, R&O 2003

Page 12: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose response relations A fit is available based on our lung clinical data and dose

grids recomputed with a convolution algorithm (De Jaeger et al., R&O 2003)

t = (MLD-TD50)/m·TD50

TD50=29.2 Gy n=1 m=0.45 These are NTD corrected doses !

Page 13: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Mean Lung Dose and RT pneumonitis

Kong et al. Semin Oncol 2005

Page 14: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose escalation/IMRT for NSCLC • Engelsman et al (IJROBP 2001): iso-NTCP dose

escalation with heterogeneous dose distributions in the target volume.

• Grills et al (IJROBP 2004): IMRT to spare OAR

(S&S). Dose heterogeneity in the PTV seemed inevitable.

• Murshed et al (IJROBP 2004): IMRT to spare

OAR (dMLC). Increase of lung tissues irradiated at doses < 5Gy.

Page 15: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Aim of the planning study

Separately assess the benefits of dose heterogeneity in the target volume and IMRT for the purpose of dose escalation

Analyse the properties of IMRT dose distributions in

the Organs At Risk when compared to conventional CRT treatments

Schwarz et al. IJROBP 2005

Page 16: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Patients Data

Datasets of 10 pts treated in the phase I/II trial 8 patients chosen according to risk group 2 patients with the oesophagus as dose limiting organ CRT replanned with a convolution dose calculation algorithm (Pinnacle) IMRT planned with Hyperion (MC) and recalculated in Pinnacle

Page 17: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Es (III)

Es (III)

IV IV III III II II I I Group

212 176 374 363 493 227 181 222 79 76 PTV Vol. (cm3)

52 T+N

32 T+N

70 T+N

74 T+N

127 T

123 T+N

57 T

43 T

8 T

6 T

GTV Vol. (cm3)

T2N2M0

T2N2M0

T2N2M0

T2N2M0

T3N0M0

T2N3M0

T2N0M0

T2N0M0

T1N0M0

T2N0M0

TNM

10 9 8 7 6 5 4 3 2 1 Patient ID

Patients characteristics

Page 18: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Which technique should be used to escalate the dose ?

• CRT1: Stdev(DPTV) δ 3% Dprescr • CRT2: Dmin(PTV)CRT2 ε Dmin(PTV)CRT1 • IMRT1: Stdev(DPTV) δ 3% Dprescr • IMRT2: Dmin(PTV)IMRT2 ε Dmin(PTV)IMRT1 Prescribed dose = mean PTV dose For each technique the prescribed dose was the maximum

PTV mean dose that did not violate the OAR constraints (In silico phase I trial)

Page 19: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Tolerances for the OARs Lung: MLD δ 16 Gy, NTD corrected (⟨/ =3 Gy) ∼ 17% risk of grade II and 2% of grade III complications Oesophagus: EUD < 74 Gy (n=0.06), NTD corrected (⟨/ =3 Gy) Spinal cord: Dmax δ 50 Gy, NTD corrected (⟨/ =2 Gy) Heart: Usual DVH points for CRT (V40< 100%, V50 < 66%, V66 < 33%) do not prevent unnecessary heart irradiation. DVH points chosen individually for each patient to achieve dose conformity.

Page 20: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

IMRT optimisation

Dose tolerances directly translated into the cost function (including ⟨/ =3 Gy) Hyperion performs by design constrained optimisation of PTV dose Accurate dose calculation also during optimisation Two step optimisation, including segment shapes and weights: More efficient delivery in terms of MU Less interplay effects

Page 21: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes
Page 22: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes
Page 23: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

How to control the dose in the lung? V20

Page 24: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Local sigmoidal dose effect

Page 25: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Results

Page 26: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

CRT Plans

CRT1: •For group I and II (patients 1 to 4) 101.25 Gy could be achieved with low MLD (10-12 Gy) and few beams (δ 4). •For patient 5 to 10:

•The achievable doses were significantly lower (down to 54 Gy) •The lung was always the dose limiting organ

CRT2: average dose escalation of 6%

Page 27: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

IMRT Plans •Either IMRT1 or IMRT2 could achieve a dose of at least 85 Gy in all except one cases. •For more than half of the patients the esophagus was the dose limiting organ. •The average number of segments per beam was 8 for IMRT1 and 10 for IMRT2 •The typical MU ratio between IMRT and CRT was equal to 2

Page 28: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Benefit of CRT2, IMRT1 and IMRT2 - Dmin

Schwarz et al. IJROBP 2005

0

5

10

15

20

5 6 7 8 9 10

Patient

Incr

ease

of m

inim

um d

ose

in th

e PT

V(G

y) CRT2

IMRT1

IMRT2

Page 29: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

IMRT vs CRT

CRT IMRT

TCP ∼ 20 % TCP ∼ 39 % Dmin = 65 Gy Dmin = 74 Gy

Page 30: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

IMRT and dose heterogeneity in the target

IMRT and dose homogeneity IMRT and dose heterogeneity

TCP ∼ 39 % TCP ∼ 57 % 75 Gy 75 Gy 84 Gy

Page 31: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose distribution in the PTV

Page 32: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose distribution in the lung

MLD = 16 Gy for all three techniques V5-V20 nearly identical

Page 33: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Did we ‘stretch’ the dose response model?

What was the effect of optimizing ⟨/ corrected dose values?

Page 34: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Esophagus

Esoph. Esoph. Esoph. Lung+Esoph.

Esoph. IMRTinhom

Lung Esoph. Lung Lung Esoph. IMRThom

Lung Lung Lung Lung Lung CRT

P10 P9 P8 P7 P6

Different dose tolerances are being used at different institutions (e.g. V60 vs. EUD0.06) Different volumetric response for late and acute toxicity (EUD0.06 vs. EUD0.7) These differences might lead to different optimisation problems.

Page 35: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Esophagus

Page 36: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Conclusions

NTCP-based IMRT optimisation is an effective method for dose customisation.

IMRT ± dose heterogeneity in the PTV allows to escalate the dose in NSCLC pts with large/concave tumor volumes.

The IMRT dose distributions were subsequently proved safe w.r.t geometrical uncertainties (Schwarz et al, IJROBP 2006)

More data needed on:

dose response for the esophagus

Page 37: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

What if we used protons? HT vs IMPT - IsoTCP plan

Page 38: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

p+ IsoNTCP plan

0

10

20

30

40

50

60

70

80

90

100

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80

Lung_HTLung_IMPT

Page 39: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

p+ IsoNTCP plan-2

Page 40: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes
Page 41: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dose volume relationships Pelvis + Head&Neck

Marco Schwarz Sara Broggi (HSR Milano)

Page 42: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

PELVIS

Radiother. Oncol. 2009

QUANTEC, IJROBP 2010

Page 43: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Organs at risk

Rectum

Bladder

Small Bowel

Penile bulb

Bone marrow (hematologic toxicity)

Page 44: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

“High dose region”: larger convergence. DVH constraints for V70 andV75 predictive of a very low incidence of late bleeding

RECTUM Late bleeding: Dose volume constraints

V50 < 55% V60 < 40% V65< 30 % V70< 20-25% V75< 5%

(Dose 70-80Gy, 1.8-2Gy/fr)

Page 45: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

RECTUM Late bleeding: NTCP models

Page 46: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

QUANTEC parameters: n=0.09, m=0.13, TD50=76.9Gy

Page 47: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

RECTUM late bleeding: DVH + clinical risk factors [ Fiorino et al, 2009 ]

[ Fellin et al, 2009 ]

Page 48: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

RECTUM: Acute rectal toxicity - Severe acute toxicity => interruption of treatment with a potentially detrimental effects

- Evidence that acute damage may play a significant role in late toxicity

Dose-volume effect: Dmean and DVH constraints in 65-70 Gy dose region: most predictive parameters for acute side effects

[ Fiorino et al, 2009 ]

Page 49: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

BLADDER: dose –volume effects

Evidence of a dose effect for whole bladder irradiation

Quantec, 2010

D5= 65 Gy / D50 = 80 Gy

In irradiation of pelvic tumors (prostate, rectum, gynecological cancer) the bladder is only partial irradiated at the prescribed dose

Large variations in bladder shape during treatment (variable filling) => lack of knowledge regarding dose-volume modeling of bladder toxicity

Bladder

Page 50: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Serial behaviour for late mild-severe toxicity [ Cheung 2007]

Mixed serial-parallel behaviour for chronic urinary moderate/severe toxicity [ Harsolia 2007]

A small fraction of bladder (few cc) receiving more than 78 – 80 Gy is highly predictive of late GU toxicity (clinically confirmed by a large increase of moderate/severe late GU toxicity with the escalation to high doses)

Pre- treatment GU complaints, TURP, TURPT, presence of acute toxicity are factors probably involved in conditioning urinary morbidity

Page 51: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

we know very little about bladder volume effect

0

10

20

30

40

50

60

70

80

90

100

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80

Dose(Gy)

Volu

me

(%)

Bladder HTBladder IMPT

Page 52: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

BOWEL: dose –volume effects Common knowledge that the irradiation of large volumes of the bowel to doses around 45-50 Gy (1.8/2 Gy/day) during whole pelvis irradiation with conventional RT is associated with moderate /severe acute toxicity; the probability an the severity of these effects increases with field width and with dose/fraction

• Evidence of a large volume effect, but few quantitative studies

• Increasing interest for pelvic nodes irradiation…IMRT as a valid tool to spare bowel

• Critical dependence on the definition of bowel/ intestinal cavity /bowel loops

Page 53: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

BOWEL definition

Bowel is a mobile structure => blurring of the evidence for a dose/volume relationship with toxicity

The expansion required to cover all possible locations of intestine in 90% of patients during RT has been estimated equal 3 cm around the bowel. [ Hysing, RO 2006]

[Sanguineti et al. RO 2008]

Intestinal cavity (IC) a robust contour with respect to bowel motion

Page 54: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Quantec recommendation

V15 <120 cc (bowel loops contours )

V45 < 195 cc ( intestinal cavity)

Page 55: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

0

200

400

600

800

1000

1200

0 10 20 30 40 50 60 70

Dose (Gy)

Volu

me

(cc)

Grade 2-3 acute bowel toxicity: Average DVHs

TOMO: n = 58 IMRT: n = 26 4-fields box.: n = 91

TOMO: 1/58 (1.7%)

IMRT: 2/26 (7.7 %)

4-fields box: 19/ 91 (20.9%)

3/84 (3.6 %)

Page 56: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

INTESTINAL CAVITY OUT PTV

V40 vs Tox Probability

00,05

0,10,15

0,20,25

0,30,35

0,40,45

0,50,55

0,6

0 100 200 300 400 500 600

V40 (cc)

Tox

prob

abili

ty

IMRT PATIENTS !!

V40 < 172 cc

172 cc < V40 < 296 cc

V40 > 296 cc

Page 57: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Summary: BOWEL dose-volume relationships

• Evidence of a large volume effect for WPRT. Quantitative dose-volume relationship recently reported for intestinal cavity/loops

• Using IMRT with an “avoidance” approach combined to

DVH constraints on intestinal cavity/loops dramatically reduces upper gastro-intestinal toxicity (both incidence and severity !)

Page 58: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

HEAD&NECK

QUANTEC, IJROBP 2010

Page 59: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

HEAD-NECK: Organs at risk Salivar glands (parotids, submandibular)

Larynx /Pharynx (related muscles structures)

Mucosae

Spinal cord

Tyroid / Esophagous

Mandible / TMJ

Internal hear (cochlea)

Optical Nerves/ Chiasma

Brain /Brain stem

Page 60: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

QUANTEC recommendation - HN region

Dose limits

EQD2/BED/ NTCP recommendations

Probability curves

Brain Yes Predictors for 5 and 10% are given in BED and

EQD2. (α/β =3Gy)

Incidence as function of BED

Optical nerves Chiasm

Yes - -

Brain stem Yes Total dose vs fraction - dose curves for EQD2

using α/β =3.3, 2.5, 2.1Gy

-

Spinal cord Yes EQD2.; α/β= 3Gy

Probability as function of EQD2

Cochlea Yes - -

Salivary glands Yes - Tox severity vs mean dose; TD50(50% function loss) vs

followp up months

Larynx/Pharynx Yes - Probability as function of mean dose

Page 61: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

PAROTID GLANDS: dose –volume effects

Outcomes: Reduced salivary function, xerostomia, alterations in speech and taste, nutritional problems

Stimulated salivary production is largely (60-70% of the total) derived from the parotid glands. Unstimulated salivary production is due primarily to the submandibular and sublingual glands.

Evaluation of outcome: - Subjective: assessment based on patient’s symptoms by questionnaires, interviews

- Objective: measurements of salivary gland flow rate (stimulated/unstimulated) ; imaging end-points (scintigraphic activity)

Page 62: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

PAROTID GLANDS: dose –volume effects

Large volume effect dependency (parallel architecture of the gland)

[QUANTEC, 2010 ]

Page 63: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

[Li, IJROBP 2007]

Unstimulated saliva flow rate

Stimulated saliva flow rate

• 142 pts. (3DCRT & IMRT)

• 266 parotid glands

• Saliva flow rate: 1, 3, 6, 12, 18, 24 months after RT

• Measurements for each single parotid gland; stimulated and unstimulated flow rate

Saliva flow reduction within 1-3 months after RT; then gradually recovery

Dmean < 25 -30 Gy => almost complete recovery at 12-24 months

PAROTID GLANDS : entity and speed of

recovery

Page 64: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

[Quantec, IJROBP 2010]

TD50(Gy) m n Emami (1991) No 3D 46 0.18 0.7

Eisbruch(1999) 88pts 28.4 (25-34.7) 0.18 (0.10-0.33) 1(fixed)

Roesink(2001) 180pts; Flowratio<25%

6 weeks:31 (26 -35) 6 months:35 (30-40)

1 year:39 (34-44)

0.54 (0.40-0.78) 0.46 (0.34-0.66) 0.45 (0.33-0.65)

1(fixed)

Roesink(2004) 96pts; SEF<45% 6 weeks:29 (25 -34) 1 year:43 (37- 51)

0.73 (0.57-1.2) 0.53 (0.42-0.75)

1(fixed)

Munter(2007) 75pts; SEF<50% 3 months

36.4 ±15.9 (3DCRT) 35 ±3.5 (IMRT)

2.2 ±1.8 (3DCRT) 6.5 ±2.1 (IMRT)

Large volume effect Parotid function recovery Parotid flow reduction: : TD50 ~30-45 Gy

PAROTID GLANDS: NTCP models

Page 65: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

PAROTID GLANDS .. recent update [Dijkema, IJROBP 2010] • 222 pts.

• 384 parotids (Michigan:157; Utrecht:227)

• Stimulated flow rates 1y after RT

• NTCP end point: reduction <25% baseline

Confirmation of NTCP parameters (n=1)

Page 66: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

[Murdoch-Kinch 2008]

Submandibular glands…

Dmean > 40 Gy => reduction of submandibular

gland-stimulated salivary function

Parotid and Submandibular glands: entity and speed of recovery

• 63 pts. (IMRT)

• Salivary flow rate : 3, 6, 12, 18, 24 months after RT

• Dmean parotids and submandibular glands

Saliva flow reduction within 1-3 months after RT; then gradually recovery

Dmean < 30 -35 Gy => almost complete recovery at 12 months

[Strigari, IJROBP 2010]

Page 67: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

LARYNX / PHARYNX : dose –volume effects

Endpoints:

• Laryngeal edema, due to inflammation and lymphatic disruption. Progressive edema and associated fibrosis can lead to long-term problems with phonation and swallowing

• Dysphagia/Aspiration

Evaluation of outcome:

- Larynx edema: flexible fiberoptic examination

- Dysphagia : videofluorography / esophagography to visualize phases of swalllowing

- Vocal function / Dysphagia : can be objectively assessed using several instruments. Subjective assessments can be made with validated patient-focused questionnaires to assess various combinations of voice, eating, speech and social function

Page 68: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

LARYNX : dose –volume effects

QUANTEC recommendation Edema / Vocal dysfunction

V50 < 27%

Dmean < 44 Gy

Dmax < 63- 66 Gy (if possible, according to the tumour extent)

[QUANTEC, 2010 ]

Page 69: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

LARYNX edema: NTCP models

TD50 m n LKB model (LEUD) 47.3 ± 2.1 Gy 0.23 ± 0.07 1.17 ± 0.6

TD50 k n Logit model (LOGEUD) 46.7 ± 2.1 Gy 7.2 ± 2.5 1.41 ± 0.8

[Rancati, IJROBP 2009]

- 48 pts - Videofluoroscopy - End Point: ≥ G2 Larynx edema - Fit: LKB (LEUD) and logistic model (LOGEUD)

TD50 = 46.7 Gy K = 7.2

n fixed= 1 TD50 = 47 Gy k= 7.33

Reduction of risk of G2-G3 larynx edema EUD < 30-35 Gy

Page 70: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

PHARYNX (Dysphagia) : dose – volume constraints

Swallowing: complex process that involves voluntary and involuntary movements through several cranial nerves and muscles. => Several possible anatomic structures whose dose-volume parameters could have the major effect with dysphagia ( pharyngeal constrictors muscles, glottic/supraglottic larynx ,pharynx,….)

[QUANTEC, 2010 ]

Page 71: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Dysphagia: dose – volume constraints • 36 pts; Stage III-IV Oropharynx / Nasopharynx

• Endpoint: Swallowing problems – videofluoroscopy ( before RT vs 3 months after RT)

• 3 OARs: pharyngeal constrictors (PC); glottic e supraglottic larynx (GSL), esophagous

GSL PC

[Feng, IJROBP 2007]

Mean dose, V50-V65 to pharyngeal constrictors muscles (PC) and supraglottic larynx (SL) correlated.

V65 (PC) < 50% (more predictive) Dysphagia/ Aspiration

Reduction as low as possible

V60 / V50 pharyngeal constrictors and larynx

QUANTEC recommendation

Page 72: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

[Quantec, IJROBP 2010]

- 50% NTCP for Dmean≈ 50-60 Gy to supraglottic larynx

- For Dmean < 50 Gy, NTCP<20%

[Levendag, Radiother.Oncol. 2007]

81 pts Follow-up: 18 months

Significant correlation between Dmean to SCM and late

dysphagia

Probability of late dysphagia increases around 19% every 10Gy

Dysphagia: NTCP models

Page 73: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

MUCOSAE : dose –volume effects

[Narayan, IJROBP 2008]

• Threshold effect for local toxicity ( Dose > 32 Gy).

• Duration of mucositis depends on absorbed dose (>3 weeeks for D>39 Gy)

Local effect…..severity of mucositis depends on the irradiated volume ! Few quantitative data

[Werbrouck et al., IJROBP 2009]

Page 74: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Avoiding unnecessary irradiation of PC/larynx/esophagous….outside PTV !!!

Conformal avoidance approach…

33

1

2

3

1

2

3

20 Gy

70 Gy

20 Gy

70 Gy

Page 75: Individualising prescription dose to lung tumours based on ...appuntamentiafisica.to.infn.it/2011/3/doc/Schwarz_2.pdf · EQD2/BED/ NTCP recommendations Probability curves Brain Yes

Summary: HN dose-volume relationships Consensus for Xerostomia => parotid as a parallel organ:

Mean dose, V20-40 best predictors

Faster recovery of the damage with IMRT

Increasing evidence of dose-volume effects for dysphagia (especially sup. constrictor, larynx) and for PEG insertion; NTCP model available for laryngeal edema

Mucositis: first quantitative data Dose-volume effect for Oral mucosa and constrictors in

predicting PEG risk/swallowing problems

Conformal avoidance approach with IMRT may reduce toxicities (even without quantitative dose-volume relationship)

Par

otid

gl

ands

Lary

nx,

Ph

aryn

x,

Ora

l mu

cosa