4 4
Access this article online
Quick Response Code:
Website:
www.journalofcurrentoncology.org
DOI:
10.4103/jco.jco_34_21
Address for correspondence: Dr. Kanhu Charan Patro,
Department of Radiation Oncology, Mahatma Gandhi Cancer Hospital and
Research Institute, Visakhapatnam, Andhra Pradesh, India.
E-mail: drkcpatro@gmail.com
Received: 22 October 2021; Revised: 14 January 2022; Accepted: 26 March 2022;
Published: 02 September 2022
This is an open access journal, and articles are distributed under the terms of the
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows
others to remix, tweak, and build upon the work non-commercially, as long as appro-
priate credit is given and the new creations are licensed under the identical terms.
For reprints contact: WKHLRPMedknow_reprints@wolterskluwer.com
© 2022 Journal of Current Oncology | Published by Wolters Kluwer - Medknow
How to cite this article: Patro KC, Avinash A, Pradhan A, Kundu C,
Bhattacharyya PS, Pilaka VKR, et al. Dr. Kanhu’s COSID index:
An acronym for plan evaluation in SRS  SBRT. J Curr Oncol
2022;5:4-7.
Original Article
Dr. Kanhu’s COSID Index: An Acronym for Plan Evaluation in
SRS  SBRT
Kanhu Charan Patro, Ajitesh Avinash1
, Arya Pradhan1
, Chittaranjan Kundu, Partha Sarathi Bhattacharyya, Venkata Krishna Reddy Pilaka,
Mrityunjaya Muvvala, Arunachalam Chithambara2
, Ayyalasomayajula Anil Kumar2
, Srinu Aketi2
,Parasa Prasad2
, Venkata Naga Priyasha Damodara,
Veera Surya Premchand Kumar Avidi, Mohanapriya Atchaiyalingam, Keerthiga Karthikeyan
Department of Radiation Oncology, Mahatma Gandhi Cancer Hospital and research Institute, Visakhapatnam, Andhra Pradesh, 1
Department of Radiation Oncology,
Acharya Harihar Post Graduate Institute of Cancer, Cuttack, 2
Department of Medical Physics, Mahatma Gandhi Cancer Hospital and research Institute, Visakhapatnam,
Andhra Pradesh, India
Abstract
Background: A major parameter in the workflow of radiation treatment is the plan evaluation. In order to achieve high dose to target,
minimum dose to the critical structures and accurate delivery of treatment, various qualitative and quantitative parameters need to
be assessed during plan evaluation. Material and Methods: Here we propose an acronym COSID to describe the five major indices
that need to be evaluated during a stereotactic treatment plan. Results: The stereotactic radiation plan evaluation include good target
coverage, minimum dose to the organs at risk (OAR), homogeneity and conformity of dose to the target. As very high dose is being
delivered in stereotactic radiotherapy in one or small number of fractions, certain other parameters such as the dose fall of beyond
the target and the complexity of plan must to be addressed. The proposed COSID index is an acronym for these parameters such as
Coverage Index, OAR Index, Spillage Index, Imaging Index and Delivery Index. Conclusion: The paper highlights the five important
parameters that need to be assessed while evaluating a Stereotactic Radiosurgery (SRS) or Stereotactic Radiotherapy (SRT) plan.
Keywords: Conformity index, gradient index, homogeneity index, stereotactic radiotherapy
Introduction
The technique of delivering the total prescribed dose of
radiation to targets in the brain in a one to five fractions is
called Stereotactic Radiosurgery (SRS). The development
in the field of imaging and treatment planning software
has allowed us to change over from 2-dimentional planning
to 3-dimensional planning including the spatial geometry.
This has allowed us to deliver treatment using non-
coplanar beams in a more conformal way in order to give
maximum dose to the target while being able to spare the
critical structures. If the total dose of radiation is delivered
in a few number of fractions to target outside brain is
known as Stereotactic Body Radiotherapy (SBRT).
The modern 3-dimensional patient data has allowed us to
calculate the dose of the target and the critical organs using
the Dose-Volume Histogram (DVH). Various parameters
such as maximum dose, minimum dose, mean dose of
the target and the individual organs at risk (OAR) can be
calculated simply using this DVH. It also helps us to find
out the dose received by certain volume of the OARs. But
the major drawback of DVH is that it doesn’t provide data
regarding the spatial information.[1]
Therefore, we require
certain other objective parameters such as homogeneity,
conformity, gradient index and slice by slice visual review
of dose distribution for SRS/SBRT plan.
Material and Methods
Here, we describe five major indices for SRS/SBRT plan
evaluation i.e. Coverage Index, Organ at Risk Index,
[Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
Patro, et al.: COSID index: An acronym for plan evaluation in SRS  SBRT
      Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022 5  
Spillage Index, Imaging Index and Delivery Index that
need to be evaluated for comparing rival plans and help
in choosing the appropriate plan for treatment using an
acronym COSID.
Results
The COSID stands for Coverage index, Organ at risk
index, Spillage index, Imaging index, Delivery index
respectively. [Table 1]
Coverage index
As per the RTOG study, the plan is considered to have
good coverage if 90% of prescription isodose covers
100% of the target volume. The plan is said to have a
minor deviation if 80% but 90% of prescription isodose
covers 100% of the target volume while a major deviation
is considered if 80% of prescription isodose covers 100%
of the target volume.[2]
The quality of treatment plan
coverage describe by RTOG (QRTOG
) is given below.
QRTOG
 = Imin / PI,
Where QRTOG
is the RTOG coverage index, Imin as
minimum isodose within the target and PI represents
prescriptionisodose.Thevalueof QRTOG
0.9isacceptable.
The QRTOG
value between  0.8 to 0.9 is considered as
minor deviation while QRTOG
value 0.8 is considered as a
major deviation.[1]
As per ICRU Report 91, the following metrics need to be
reported and considered in the SRS/SRT plan evaluation.[3]
Median absorbed dose of PTV, D50%: it is defined as the
absorbed dose received by 50% of the volume.
SRT near-maximum dose, Dnear-max: Dnear-max is
considered as D2%
of PTV, if the volume of PTV  2cm3
and Dnear-max is considered as absolute value of 35mm3
,
D35mm
3
, if the volume of PTV  2cm3
.
SRT near-minimum dose, Dnear-min: Dnear-min is
considered as D98%
of PTV, if the volume of PTV  2cm3
and Dnear-min is considered as absolute value of 35mm3
,
DV-35mm
3
, if the volume of PTV  2cm3
.
OAR index
Organ at Risk (OAR) was first defined by ICRU Report 29
as any radiosensitive organ whose presence near the target
has influence over the planned dose of radiation.[4]
The
OARs were divided as serial, parallel and serial-parallel
organs by the ICRU Report 62. It also introduced the
concept of planning organ at risk volume (PRV), where a
margin is given around the OAR to compensate for organ
motion similar to Planning Target Volume (PTV) margin
around the Clinical Target Volume (CTV).[5]
For a serial organ we need to see the maximum dose
(Dmax), for a parallel organ we look for the mean dose
(Dmean) and volumetric constraints need to be seen for
certain organs. The dose constraints for the OARs for
plan evaluation of SRS/SBRT can be done by following
the guidelines by Hanna GG et al.[6]
Spillage index
It is an acronym coined for the homogeneity, conformity
and gradient index.
Homogeneity index
It is an objective assessment tool to evaluate the uniformity
of dose distribution in the specified target volume. It was
proposed by the RTOG for Stereotactic plan evaluation.
It is calculated using the formula-
HIRTOG
 = Imax / RI,
Where HIRTOG
represents RTOG Homogeneity Index,
Imax as maximum isodose within the target and PI
represents prescription isodose.
The plans with HI value of  2 are desirable. The plans with
HI value between 2 – 2.5 is viewed as a minor deviation
while those with HI value 2.5 as major deviation.[2,7]
Conformity index
Another important objective measure for plan evaluation
of SRS/SRT is the conformity index that describes how
tightly the radiation prescription dose encompasses the
shape and size of the target volume. To note the conformity
index of the SRS, here we describe the 2 most common
types of conformity indices i.e. the RTOG conformity
index and the Paddick conformity index.[8]
RTOG conformity index (CIRTOG
)
In 1993, the RTOG group first proposed the conformity
index that was also included in the ICRU report 62. CIRTOG
Table 1: Showing the five major parameters of SRS/SBRT
plan evaluation (COSID INDEX)
COSID INDEX
Index Name
C Coverage Index
  Median absorbed dose of PTV, D50%
  Near-maximum dose, Dnear-max
  Near-minimum dose, Dnear-min
O Organ at risk Index
S Spillage Index
  Conformity Index
  Homogeneity Index
  Gradient Index
I Imaging Index
  Slice by slice evaluation
D Delivery Index
  Complexity of Plan
  Monior Units (MU) Evaluation
  Dose Calculation Parameters
  Pre-verification of Treatment
[Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
Patro, et al.: COSID index: An acronym for plan evaluation in SRS  SBRT
      
6 6  Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022
is calculated as the ratio of the volume of prescription
isodose (PIV) to the target volume (TV).
CIRTOG
 = PIV / TV
As per RTOG the CIRTOG
value between 1–2 is considered
to be desirable. The CIRTOG
between 0.9 -1 and 2 -2.5 are
considered as minor deviation as per RTOG and CIRTOG

0.9 and 2.5 are considered as mojor deviation. [a] This
method of calculation of conformity index was easy but
was associated with certain criticism. If a treatment plan
had CIRTOG
of unity, it could not differentiate whether the
PIV exactly covered the TV or not. To correct this dilemma
Paddick I. proposed another conformity index that was
popularly known by his name as Paddick conformity
index.[9]
Paddick Conformity Index (CIPaddick
) can be calculated
using the following formula.
CIPaddick
 = (TVPIV
)2
/ TV x PIV,
WhereTVPIV
isthevolumeof targetcoveredbyprescription
isodose.
The ideal CIPaddick
 = 1. If CIPaddick
 1 means under-treatment.
Gradient index
Apart from homogeneity and conformity index for
objective SRS plan evaluation, Paddick I. et al., proposed
the Dose Gradient Index (DGI) as an important measure
to evaluate the steep dose fall off outside the target
volume.[10]
The DGI helps not only in comparison among
plans with equal conformity indices but also helps in
comparing various SRS treatment modalities such as
Gamma Knife, CyberKnife and Linear Accelerator based
treatment.
Dose fall off
The dose fall off observation acts as a much needed
parameter in the plan evaluation under the heading of
gradient index. For this we need to calculate the distance
between various isodose lines. But none of the isodoses
are spherical. In order to calculate the distance between
the isodose lines we need to calculate the equivalent radius.
Equivalent radius calculation
The following points are used to calculate the equivalent
radius.
Step 1: Note the specified isodose volume
Step 2: Calculate the radius of the isodose volume by
using the formula:
V = 4/3 π r3
So, r = (3V/4 π)1/3
The formula for calculating gradient index is as
given below.
Gradient Index  =  Equivalent radius of 50% isodose -
Equivalent radius of prescription isodose. Ideally the
gradient index should be between 0.3-0.9 mm.
Distance between various isodose lines
The gradient index tells us the spillage of dose between the
50% isodose and the prescription isodose. In addition, the
distance between various isodose lines such as between 80%
and 60% isodose lines and between 80% and 40% isodose
lines also needs to be evaluated as it gives idea about the
control of dose spillage across the lower and higher doses.
The ideal distance between 80% and 60% isodose lines
should be 2 mm.[11]
The ideal distance between 80% and 40% isodose lines
should be 8 mm.
Imaging index
Slice by slice evaluation
As DVH doesn’t give information regarding the spatial
distribution of dose, the physician need to evaluate the
dose distribution in a given plan slice by slice. It helps to
view the regions of cold and hot spots and also to find out
whether these cold and hot spots are clinically significant
or not. Moreover, it also gives information regarding dose
spillage outside the PTV.[12]
Delivery index
Complexity of plan
With the advent of intensity modulated radiotherapy and
MLC based treatment; the treatment plans have become
more complex as a result of beam modulation. A more
complex plan has smaller beamlets and segments whose
beam apertures are mostly irregular owing to higher
modulation of machine parameters. This leads to overall
treatment inaccuracy and lower quality of delivery of
treatment. So, in order to achieve a better quality of
treatment we need to choose an appropriate plan with less
complexity.[13]
Use of Flattening Filter Free technique can
help in delivering treatment at an increased dose rate while
reducing the overall treatment time thereby reducing the
intra-fraction motion inaccuracy.
Monior units (MU) evaluation
A note should be made on the MU of all the rival plans
for a single treatment. The MU depends on various
planning parameters such as number of beams or arcs,
arc increment, use of coplanar and non-coplanar beams,
number of control points, number of beamlets and width
of the segments. A plan with more number of beams/arcs/
control points and beamlets, use of non-coplanar beams
and smaller segment width leads to increase in the MU of
the plan. Such parameters will improve the plan quality
but will increase the planning time as well as delivery time.
A plan with more MU can lead to increased toxicity and
[Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
Patro, et al.: COSID index: An acronym for plan evaluation in SRS  SBRT
      Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022 7  
development of secondary malignancy in future due to
increased integral dose. Therefore, optimum selections
of these parameters need to be taken into consideration
during plan evaluation in order to a get a deliverable plan.
Dose calculation parameters
The accuracy of the dose computation depends on the
dose calculation grid and dose calculation algorithms.
For a highly conformal plan such as SRS/SRT, we need to
use a smaller dose calculation grid (eg. 2 mm grid) and a
better algorithm for dose calculation (for eg. Monte Carlo
Algorithm).
Pre-verification of treatment
Prior to start of SRS/SBRT treatment, Quality
Assurance (QA) such as – point dose verification, fluence
(2-Dimensional/Planar dose distribution) verification and
mechanical isocentre check (Winston Lutz Check) need to
be done. Also before commencing the treatment, we need
to perform a trial run to check the collision among the
gantry, collimator and couch.
Conclusion
This article outlines the five plan evaluation parameters
(COSID INDEX) in stereotactic radiotherapy that needs to
be done prior to treatment delivery. This plan evaluation can
also be applied to any Intensity Modulated Radiotherapy
(IMRT) or Volumetric Modulated Arc Therapy (VMAT)
plans. It gives an orientation to the beginners in the field of
radiation oncology into one of the most important part of
stereotactic radiation i.e. plan evaluation.
Financial support and sponsorship
Nil.
Conflicts of interest
There are no conflicts of interest.
References
1.	 Menon SV, Paramu R, Bhasi S, Nair RK. Evaluation of plan quality
metrics in stereotactic radiosurgery/radiotherapy in the treatment
plans of arteriovenous malformations. J Med Phys 2018;43:214-20.
2.	 Shaw E, Kline R, Gillin M, Souhami L, Hirschfeld A, Dinapoli R,
et al. Radiation therapy oncology group: Radiosurgery quality
assurance guidelines. Int J Radiat Oncol Biol Phys 1993;27:
1231-9.
3.	 Wilke L, Andratschke N, Guckenberger M, Blanck O, Brunner TB,
Combs  SE. et  al. ICRU report 91 on prescribing, recording, and
reporting of stereotactic treatments with small photon beams.
Strahlentherapie und Onkologie 2019;195:193-8.
4.	 ICRU Report 29. Dose Specification for reporting external beam
therapy with photons and electrons. Washington, DC: International
Commission on Radiation Units and Measurements; 1978.
5.	 ICRU Report 62. Prescribing, recording, and reporting photon
beam therapy (Supplement to ICRU Report 50). Bethesda, MD:
International Commission on Radiation Units and Measurements;
1999.
6.	 Hanna GG, Murray L, Patel R, Jain S, Aitken KL, Franks KN, et al.
Uk consensus on normal tissue dose constraints for stereotactic
radiotherapy. Clin Oncol (R Coll Radiol) 2018;30:5-14.
7.	 Kataria  T, Sharma  K, Subramani  V, Karrthick  KP, Bisht  SS.
Homogeneity index: An objective tool for assessment of conformal
radiation treatments. J Med Phys 2012;37:207-13.
8.	 Petkovska S, Tolevska C, Kraleva S, Petreska E. Conformity index
for brain cancer patients. Proceedings of the second conference
on medical physics and biomedical engineering of R Macedonia
2010;43:111.
9.	 Paddick  I. A simple scoring ratio to index the conformity of
radiosurgical treatment plans. Technical note. J Neurosurg 2000;93
(suppl 3):219-22.
10.	Paddick  I, Lippitz  B. A simple dose gradient measurement tool
to complement the conformity index. J Neurosurg 2006;105
(suppl):194-201.
11.	
Kocher  M, Soffietti  R, Abacioglu  U, Villà  S, Fauchon  F,
Baumert  BG, et  al. Adjuvant whole-brain radiotherapy versus
observation after radiosurgery or surgical resection of one to three
cerebral metastases: Results of the Eortc 22952-26001 study. J Clin
Oncol 2011;29:134-41.
12.	Prabhakar  R, Rath  GK. Slice-based plan evaluation methods for
three dimensional conformal radiotherapy treatment planning.
Australas Phys Eng Sci Med 2009;32:233-9.
13.	Hernandez  V, Hansen  CR, Widesott  L, Bäck  A, Canters  R,
Fusella  M, et  al. What is plan quality in radiotherapy? The
importance of evaluating dose metrics, complexity, and robustness
of treatment plans. Radiother Oncol 2020;153:26-33.
[Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]

COSID INDEX

  • 1.
           4 4 Access thisarticle online Quick Response Code: Website: www.journalofcurrentoncology.org DOI: 10.4103/jco.jco_34_21 Address for correspondence: Dr. Kanhu Charan Patro, Department of Radiation Oncology, Mahatma Gandhi Cancer Hospital and Research Institute, Visakhapatnam, Andhra Pradesh, India. E-mail: drkcpatro@gmail.com Received: 22 October 2021; Revised: 14 January 2022; Accepted: 26 March 2022; Published: 02 September 2022 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appro- priate credit is given and the new creations are licensed under the identical terms. For reprints contact: WKHLRPMedknow_reprints@wolterskluwer.com © 2022 Journal of Current Oncology | Published by Wolters Kluwer - Medknow How to cite this article: Patro KC, Avinash A, Pradhan A, Kundu C, Bhattacharyya PS, Pilaka VKR, et al. Dr. Kanhu’s COSID index: An acronym for plan evaluation in SRS SBRT. J Curr Oncol 2022;5:4-7. Original Article Dr. Kanhu’s COSID Index: An Acronym for Plan Evaluation in SRS SBRT Kanhu Charan Patro, Ajitesh Avinash1 , Arya Pradhan1 , Chittaranjan Kundu, Partha Sarathi Bhattacharyya, Venkata Krishna Reddy Pilaka, Mrityunjaya Muvvala, Arunachalam Chithambara2 , Ayyalasomayajula Anil Kumar2 , Srinu Aketi2 ,Parasa Prasad2 , Venkata Naga Priyasha Damodara, Veera Surya Premchand Kumar Avidi, Mohanapriya Atchaiyalingam, Keerthiga Karthikeyan Department of Radiation Oncology, Mahatma Gandhi Cancer Hospital and research Institute, Visakhapatnam, Andhra Pradesh, 1 Department of Radiation Oncology, Acharya Harihar Post Graduate Institute of Cancer, Cuttack, 2 Department of Medical Physics, Mahatma Gandhi Cancer Hospital and research Institute, Visakhapatnam, Andhra Pradesh, India Abstract Background: A major parameter in the workflow of radiation treatment is the plan evaluation. In order to achieve high dose to target, minimum dose to the critical structures and accurate delivery of treatment, various qualitative and quantitative parameters need to be assessed during plan evaluation. Material and Methods: Here we propose an acronym COSID to describe the five major indices that need to be evaluated during a stereotactic treatment plan. Results: The stereotactic radiation plan evaluation include good target coverage, minimum dose to the organs at risk (OAR), homogeneity and conformity of dose to the target. As very high dose is being delivered in stereotactic radiotherapy in one or small number of fractions, certain other parameters such as the dose fall of beyond the target and the complexity of plan must to be addressed. The proposed COSID index is an acronym for these parameters such as Coverage Index, OAR Index, Spillage Index, Imaging Index and Delivery Index. Conclusion: The paper highlights the five important parameters that need to be assessed while evaluating a Stereotactic Radiosurgery (SRS) or Stereotactic Radiotherapy (SRT) plan. Keywords: Conformity index, gradient index, homogeneity index, stereotactic radiotherapy Introduction The technique of delivering the total prescribed dose of radiation to targets in the brain in a one to five fractions is called Stereotactic Radiosurgery (SRS). The development in the field of imaging and treatment planning software has allowed us to change over from 2-dimentional planning to 3-dimensional planning including the spatial geometry. This has allowed us to deliver treatment using non- coplanar beams in a more conformal way in order to give maximum dose to the target while being able to spare the critical structures. If the total dose of radiation is delivered in a few number of fractions to target outside brain is known as Stereotactic Body Radiotherapy (SBRT). The modern 3-dimensional patient data has allowed us to calculate the dose of the target and the critical organs using the Dose-Volume Histogram (DVH). Various parameters such as maximum dose, minimum dose, mean dose of the target and the individual organs at risk (OAR) can be calculated simply using this DVH. It also helps us to find out the dose received by certain volume of the OARs. But the major drawback of DVH is that it doesn’t provide data regarding the spatial information.[1] Therefore, we require certain other objective parameters such as homogeneity, conformity, gradient index and slice by slice visual review of dose distribution for SRS/SBRT plan. Material and Methods Here, we describe five major indices for SRS/SBRT plan evaluation i.e. Coverage Index, Organ at Risk Index, [Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
  • 2.
    Patro, et al.: COSIDindex: An acronym for plan evaluation in SRS  SBRT       Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022 5   Spillage Index, Imaging Index and Delivery Index that need to be evaluated for comparing rival plans and help in choosing the appropriate plan for treatment using an acronym COSID. Results The COSID stands for Coverage index, Organ at risk index, Spillage index, Imaging index, Delivery index respectively. [Table 1] Coverage index As per the RTOG study, the plan is considered to have good coverage if 90% of prescription isodose covers 100% of the target volume. The plan is said to have a minor deviation if 80% but 90% of prescription isodose covers 100% of the target volume while a major deviation is considered if 80% of prescription isodose covers 100% of the target volume.[2] The quality of treatment plan coverage describe by RTOG (QRTOG ) is given below. QRTOG  = Imin / PI, Where QRTOG is the RTOG coverage index, Imin as minimum isodose within the target and PI represents prescriptionisodose.Thevalueof QRTOG 0.9isacceptable. The QRTOG value between 0.8 to 0.9 is considered as minor deviation while QRTOG value 0.8 is considered as a major deviation.[1] As per ICRU Report 91, the following metrics need to be reported and considered in the SRS/SRT plan evaluation.[3] Median absorbed dose of PTV, D50%: it is defined as the absorbed dose received by 50% of the volume. SRT near-maximum dose, Dnear-max: Dnear-max is considered as D2% of PTV, if the volume of PTV 2cm3 and Dnear-max is considered as absolute value of 35mm3 , D35mm 3 , if the volume of PTV 2cm3 . SRT near-minimum dose, Dnear-min: Dnear-min is considered as D98% of PTV, if the volume of PTV 2cm3 and Dnear-min is considered as absolute value of 35mm3 , DV-35mm 3 , if the volume of PTV 2cm3 . OAR index Organ at Risk (OAR) was first defined by ICRU Report 29 as any radiosensitive organ whose presence near the target has influence over the planned dose of radiation.[4] The OARs were divided as serial, parallel and serial-parallel organs by the ICRU Report 62. It also introduced the concept of planning organ at risk volume (PRV), where a margin is given around the OAR to compensate for organ motion similar to Planning Target Volume (PTV) margin around the Clinical Target Volume (CTV).[5] For a serial organ we need to see the maximum dose (Dmax), for a parallel organ we look for the mean dose (Dmean) and volumetric constraints need to be seen for certain organs. The dose constraints for the OARs for plan evaluation of SRS/SBRT can be done by following the guidelines by Hanna GG et al.[6] Spillage index It is an acronym coined for the homogeneity, conformity and gradient index. Homogeneity index It is an objective assessment tool to evaluate the uniformity of dose distribution in the specified target volume. It was proposed by the RTOG for Stereotactic plan evaluation. It is calculated using the formula- HIRTOG  = Imax / RI, Where HIRTOG represents RTOG Homogeneity Index, Imax as maximum isodose within the target and PI represents prescription isodose. The plans with HI value of 2 are desirable. The plans with HI value between 2 – 2.5 is viewed as a minor deviation while those with HI value 2.5 as major deviation.[2,7] Conformity index Another important objective measure for plan evaluation of SRS/SRT is the conformity index that describes how tightly the radiation prescription dose encompasses the shape and size of the target volume. To note the conformity index of the SRS, here we describe the 2 most common types of conformity indices i.e. the RTOG conformity index and the Paddick conformity index.[8] RTOG conformity index (CIRTOG ) In 1993, the RTOG group first proposed the conformity index that was also included in the ICRU report 62. CIRTOG Table 1: Showing the five major parameters of SRS/SBRT plan evaluation (COSID INDEX) COSID INDEX Index Name C Coverage Index   Median absorbed dose of PTV, D50%   Near-maximum dose, Dnear-max   Near-minimum dose, Dnear-min O Organ at risk Index S Spillage Index   Conformity Index   Homogeneity Index   Gradient Index I Imaging Index   Slice by slice evaluation D Delivery Index   Complexity of Plan   Monior Units (MU) Evaluation   Dose Calculation Parameters   Pre-verification of Treatment [Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
  • 3.
    Patro, et al.: COSIDindex: An acronym for plan evaluation in SRS SBRT        6 6  Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022 is calculated as the ratio of the volume of prescription isodose (PIV) to the target volume (TV). CIRTOG  = PIV / TV As per RTOG the CIRTOG value between 1–2 is considered to be desirable. The CIRTOG between 0.9 -1 and 2 -2.5 are considered as minor deviation as per RTOG and CIRTOG 0.9 and 2.5 are considered as mojor deviation. [a] This method of calculation of conformity index was easy but was associated with certain criticism. If a treatment plan had CIRTOG of unity, it could not differentiate whether the PIV exactly covered the TV or not. To correct this dilemma Paddick I. proposed another conformity index that was popularly known by his name as Paddick conformity index.[9] Paddick Conformity Index (CIPaddick ) can be calculated using the following formula. CIPaddick  = (TVPIV )2 / TV x PIV, WhereTVPIV isthevolumeof targetcoveredbyprescription isodose. The ideal CIPaddick  = 1. If CIPaddick 1 means under-treatment. Gradient index Apart from homogeneity and conformity index for objective SRS plan evaluation, Paddick I. et al., proposed the Dose Gradient Index (DGI) as an important measure to evaluate the steep dose fall off outside the target volume.[10] The DGI helps not only in comparison among plans with equal conformity indices but also helps in comparing various SRS treatment modalities such as Gamma Knife, CyberKnife and Linear Accelerator based treatment. Dose fall off The dose fall off observation acts as a much needed parameter in the plan evaluation under the heading of gradient index. For this we need to calculate the distance between various isodose lines. But none of the isodoses are spherical. In order to calculate the distance between the isodose lines we need to calculate the equivalent radius. Equivalent radius calculation The following points are used to calculate the equivalent radius. Step 1: Note the specified isodose volume Step 2: Calculate the radius of the isodose volume by using the formula: V = 4/3 π r3 So, r = (3V/4 π)1/3 The formula for calculating gradient index is as given below. Gradient Index  =  Equivalent radius of 50% isodose - Equivalent radius of prescription isodose. Ideally the gradient index should be between 0.3-0.9 mm. Distance between various isodose lines The gradient index tells us the spillage of dose between the 50% isodose and the prescription isodose. In addition, the distance between various isodose lines such as between 80% and 60% isodose lines and between 80% and 40% isodose lines also needs to be evaluated as it gives idea about the control of dose spillage across the lower and higher doses. The ideal distance between 80% and 60% isodose lines should be 2 mm.[11] The ideal distance between 80% and 40% isodose lines should be 8 mm. Imaging index Slice by slice evaluation As DVH doesn’t give information regarding the spatial distribution of dose, the physician need to evaluate the dose distribution in a given plan slice by slice. It helps to view the regions of cold and hot spots and also to find out whether these cold and hot spots are clinically significant or not. Moreover, it also gives information regarding dose spillage outside the PTV.[12] Delivery index Complexity of plan With the advent of intensity modulated radiotherapy and MLC based treatment; the treatment plans have become more complex as a result of beam modulation. A more complex plan has smaller beamlets and segments whose beam apertures are mostly irregular owing to higher modulation of machine parameters. This leads to overall treatment inaccuracy and lower quality of delivery of treatment. So, in order to achieve a better quality of treatment we need to choose an appropriate plan with less complexity.[13] Use of Flattening Filter Free technique can help in delivering treatment at an increased dose rate while reducing the overall treatment time thereby reducing the intra-fraction motion inaccuracy. Monior units (MU) evaluation A note should be made on the MU of all the rival plans for a single treatment. The MU depends on various planning parameters such as number of beams or arcs, arc increment, use of coplanar and non-coplanar beams, number of control points, number of beamlets and width of the segments. A plan with more number of beams/arcs/ control points and beamlets, use of non-coplanar beams and smaller segment width leads to increase in the MU of the plan. Such parameters will improve the plan quality but will increase the planning time as well as delivery time. A plan with more MU can lead to increased toxicity and [Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]
  • 4.
    Patro, et al.: COSIDindex: An acronym for plan evaluation in SRS  SBRT       Journal of Current Oncology ¦ Volume 5 ¦ Issue 1 ¦ January-June 2022 7   development of secondary malignancy in future due to increased integral dose. Therefore, optimum selections of these parameters need to be taken into consideration during plan evaluation in order to a get a deliverable plan. Dose calculation parameters The accuracy of the dose computation depends on the dose calculation grid and dose calculation algorithms. For a highly conformal plan such as SRS/SRT, we need to use a smaller dose calculation grid (eg. 2 mm grid) and a better algorithm for dose calculation (for eg. Monte Carlo Algorithm). Pre-verification of treatment Prior to start of SRS/SBRT treatment, Quality Assurance (QA) such as – point dose verification, fluence (2-Dimensional/Planar dose distribution) verification and mechanical isocentre check (Winston Lutz Check) need to be done. Also before commencing the treatment, we need to perform a trial run to check the collision among the gantry, collimator and couch. Conclusion This article outlines the five plan evaluation parameters (COSID INDEX) in stereotactic radiotherapy that needs to be done prior to treatment delivery. This plan evaluation can also be applied to any Intensity Modulated Radiotherapy (IMRT) or Volumetric Modulated Arc Therapy (VMAT) plans. It gives an orientation to the beginners in the field of radiation oncology into one of the most important part of stereotactic radiation i.e. plan evaluation. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest. References 1. Menon SV, Paramu R, Bhasi S, Nair RK. Evaluation of plan quality metrics in stereotactic radiosurgery/radiotherapy in the treatment plans of arteriovenous malformations. J Med Phys 2018;43:214-20. 2. Shaw E, Kline R, Gillin M, Souhami L, Hirschfeld A, Dinapoli R, et al. Radiation therapy oncology group: Radiosurgery quality assurance guidelines. Int J Radiat Oncol Biol Phys 1993;27: 1231-9. 3. Wilke L, Andratschke N, Guckenberger M, Blanck O, Brunner TB, Combs  SE. et  al. ICRU report 91 on prescribing, recording, and reporting of stereotactic treatments with small photon beams. Strahlentherapie und Onkologie 2019;195:193-8. 4. ICRU Report 29. Dose Specification for reporting external beam therapy with photons and electrons. Washington, DC: International Commission on Radiation Units and Measurements; 1978. 5. ICRU Report 62. Prescribing, recording, and reporting photon beam therapy (Supplement to ICRU Report 50). Bethesda, MD: International Commission on Radiation Units and Measurements; 1999. 6. Hanna GG, Murray L, Patel R, Jain S, Aitken KL, Franks KN, et al. Uk consensus on normal tissue dose constraints for stereotactic radiotherapy. Clin Oncol (R Coll Radiol) 2018;30:5-14. 7. Kataria  T, Sharma  K, Subramani  V, Karrthick  KP, Bisht  SS. Homogeneity index: An objective tool for assessment of conformal radiation treatments. J Med Phys 2012;37:207-13. 8. Petkovska S, Tolevska C, Kraleva S, Petreska E. Conformity index for brain cancer patients. Proceedings of the second conference on medical physics and biomedical engineering of R Macedonia 2010;43:111. 9. Paddick  I. A simple scoring ratio to index the conformity of radiosurgical treatment plans. Technical note. J Neurosurg 2000;93 (suppl 3):219-22. 10. Paddick  I, Lippitz  B. A simple dose gradient measurement tool to complement the conformity index. J Neurosurg 2006;105 (suppl):194-201. 11. Kocher  M, Soffietti  R, Abacioglu  U, Villà  S, Fauchon  F, Baumert  BG, et  al. Adjuvant whole-brain radiotherapy versus observation after radiosurgery or surgical resection of one to three cerebral metastases: Results of the Eortc 22952-26001 study. J Clin Oncol 2011;29:134-41. 12. Prabhakar  R, Rath  GK. Slice-based plan evaluation methods for three dimensional conformal radiotherapy treatment planning. Australas Phys Eng Sci Med 2009;32:233-9. 13. Hernandez  V, Hansen  CR, Widesott  L, Bäck  A, Canters  R, Fusella  M, et  al. What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans. Radiother Oncol 2020;153:26-33. [Downloaded free from http://www.journalofcurrentoncology.org on Friday, September 2, 2022, IP: 117.239.144.217]