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Radiation Therapy · Radiobiology & Plan Literacy

BED and EQD2 — Comparing Two Different Radiation Schedules

Medically reviewed by Dr. Venkata Sushma P, Radiation Oncologist, MBBS · MD (Radiation Oncology) · Last reviewed August 2026

Someone in the waiting room was given 33 sittings. Your plan says 15. The totals in Gray look nothing alike either. This page explains the arithmetic radiation oncologists use to put two very different schedules on one scale — BED and EQD2 — so you can see why fewer sessions is not the same thing as less treatment.

  • Total Gray is not comparable — two schedules with different fraction sizes cannot be judged by the number on the plan sheet.
  • Fewer sessions, larger fractions — a shorter course delivers more in each sitting, which carries more biological effect per Gray.
  • One schedule, two converted numbers — tumour tissue and late-responding healthy tissue give different EQD2 values from the same plan.
  • You are allowed to ask — your radiotherapy is delivered at an NABH-accredited partner centre while CION coordinates your plan, your team and your care throughout.
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The short answer

How do you compare 20 sittings with 5?

Not by the total Gray. Two schedules are put on a common scale using BED and EQD2 — arithmetic that accounts for the size of each fraction, not only the total. Once both are converted, a five-session course and a twenty-session course can finally be read side by side in the same units.

The number written on a radiation plan is a total, expressed in Gray (Gy), alongside a count of sessions. Those two numbers are not independent. Splitting a total into a few large pieces is biologically different from splitting the same total into many small ones. That is why a plan sheet showing a smaller total can represent an equal or greater effect than one showing a larger total.

Radiation oncologists resolve this with the linear-quadratic model, the framework behind BED and EQD2 and the standard approach in ASTRO-aligned practice. It converts any schedule into a single comparable figure. Nothing about it is exotic; it is the everyday currency conversion of radiation planning.

The catch, and the part most explanations skip, is that one schedule does not produce one number. It produces several. The converted value depends on which tissue you are asking about, because tumour tissue and late-responding healthy tissue react to fraction size differently. That is not a flaw in the method. It is the whole point of it.

Everything below is general education about how schedules are compared. It is not a recommendation, and it cannot tell you what is right for your own diagnosis — only your radiation oncologist can do that.

Did you know?

The “2” in EQD2 is not arbitrary. It refers to 2 Gy per fraction — the fraction size that most published radiotherapy guideline evidence was historically built on. Converting a schedule to EQD2 therefore does something specific: it restates a new or shorter course in the units of the large body of existing knowledge, so a team can compare it against what the literature already describes. Terminology current as of August 2026 and consistent with ASTRO-aligned practice.

The fear behind the question

Is a shorter course a lower dose?

Usually not in the way it looks. A shorter course is a lower number of Gray on paper, but each session delivers a larger dose. Larger fractions carry more biological effect for every Gray delivered. Once that is accounted for, a fifteen-session course can sit close to a thirty-session one.

This is the single most common source of quiet panic on a radiation plan. A patient compares totals with someone else in the waiting area and concludes they are being short-changed. The comparison is not wrong to make. It is simply being made in the wrong units.

Delivering more dose in each sitting is called hypofractionation. It shortens the overall course. Guideline bodies including NCCN and ASTRO describe hypofractionated schedules as established options for selected cancer sites, and the choice between a long and a short course is made on the diagnosis, the site and the goal of treatment — not on convenience.

For families travelling in from a district, the practical difference is real. Fewer sittings means fewer journeys, fewer nights away from home and fewer days of work lost. Those are legitimate considerations for your team to weigh alongside the clinical ones, and worth raising openly rather than assuming they will be dismissed.

A shorter schedule is not automatically better or worse than a longer one. It is a different way of arriving at a comparable biological effect, chosen for reasons your radiation oncologist can explain to you directly.

Why the arithmetic exists

Why is a conversion needed at all?

Because Gray measures energy absorbed, not biological effect. The same total delivered in bigger pieces does more to tissue than the same total delivered in smaller pieces. BED and EQD2 restate both schedules in one currency, so two plans built on different fraction sizes can be compared honestly rather than by eye.

BED stands for biologically effective dose. It is a theoretical maximum on an open-ended scale, useful for ranking schedules but hard to read intuitively. EQD2 takes the same information and expresses it as a familiar figure: the dose in 2 Gy fractions that would have produced a comparable effect. Most conversations between a patient and a radiation oncologist happen in EQD2 for exactly that reason.

BED = total dose × (1 + dose per fraction ÷ α/β)

EQD2 = total dose × (dose per fraction + α/β) ÷ (2 + α/β)

α/β (alpha/beta) is a value describing how strongly a given tissue reacts to fraction size. It is chosen for the tissue being considered, and changing it changes the answer completely.

This is why the same schedule yields more than one converted number. Tumours and early-responding tissues such as skin and the lining of the gut are generally modelled with a higher α/β, commonly taken as around 10 Gy. Late-responding healthy tissues such as nerve, lung and connective tissue are modelled with a lower value, commonly around 3 Gy. A low value means large fractions hit that tissue harder.

Certain sites are recognised exceptions where the tumour itself behaves more like a late-responding tissue. That biology is one of the reasons short, large-fraction schedules became established for some cancers and not for others. It is also why a schedule that suits one diagnosis cannot simply be lifted across to another.

Radiotherapy is delivered at an NABH-accredited partner centre; CION Cancer Clinics coordinates your treatment plan, your oncology team and your care throughout, including the review appointment where questions like this get answered properly.

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Four terms, decoded

What each number on the plan actually means

You do not need to memorise these. Knowing which is which is enough to ask a useful question at your next review.

Gray (Gy)

The total written on your plan

One Gray means one joule of energy absorbed per kilogram of tissue. It describes energy, not effect. On its own it cannot be compared between schedules that use different fraction sizes.

Fraction size

The dose delivered in each sitting

The total divided by the number of sessions. This is the variable that changes everything, because biological effect rises faster than the dose itself as each fraction gets larger.

α/β ratio

How a tissue reacts to fraction size

A value chosen for the tissue in question — higher for most tumours and early-responding tissues, lower for late-responding healthy tissues. It is the input that makes one schedule produce several converted numbers.

BED and EQD2

The two conversions, and how they relate

BED ranks schedules on an open-ended scale. EQD2 is BED restated in the familiar language of 2 Gy fractions. They carry the same information; EQD2 is simply the readable version.

A framework, not a protocol

How a team compares two different schedules

This is the general sequence. What comes out of it depends entirely on the diagnosis, the site and the plan data in front of the team.

Write both schedules out in full

Total dose, number of fractions and dose per fraction for each. A comparison built on the total alone is the mistake the whole exercise exists to prevent.

Decide which tissue the question is about

Are you asking about effect on the tumour, or about risk to a nearby healthy organ? The two questions take different α/β values and give different answers from the same schedule.

Convert each schedule with the linear-quadratic model

The same formula is applied to both, using the same α/β value, so the two results sit on one scale. Mixing values between the two schedules invalidates the comparison.

Read the converted numbers, not the totals

This is usually the moment the apparent gap between a short and a long course narrows sharply, and occasionally reverses direction entirely.

Add back what the arithmetic leaves out

How much healthy tissue sits inside the treated volume, how steeply the dose falls away at the edges, the overall length of the course and the technique used all matter and none of them appear in the formula.

Take the comparison to the people who own the plan

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Side by side

What the conversion does to three very different schedules

Illustrative arithmetic only. These are worked examples chosen to show how the maths behaves — they are not prescriptions, not recommendations, and not a template for any individual plan. Values are rounded.

Illustrative schedule Total on the plan Fraction size × sessions BED (α/β 10) EQD2 (α/β 10) EQD2 (α/β 3)
A — conventional 60 Gy 2 Gy × 30 72 Gy 60 Gy 60 Gy
B — moderately shortened 45 Gy 3 Gy × 15 58.5 Gy ~49 Gy 54 Gy
C — few, large fractions 50 Gy 10 Gy × 5 100 Gy ~83 Gy 130 Gy

Read the first column and schedule C looks like the smallest course on the table. Read the converted columns and it is by some distance the largest. Halving the number of Gray on paper while raising the fraction size fivefold does not halve anything biologically. This single row is the answer to “my friend got 33 and I got 15 — am I getting less?”

Notice too that schedule A gives the same figure in both EQD2 columns. That is not a coincidence. A schedule already delivered in 2 Gy fractions converts to itself, whatever α/β value you choose. It is the reference point the whole scale is anchored to.

What the conversion cannot tell you

The last column of schedule C looks alarming, and read in isolation it would be. It is not the whole story. Schedules built on a few large fractions are used with techniques that treat a much smaller volume and let the dose fall away very steeply at the edges, so the amount of healthy tissue actually receiving that dose is small. Volume matters as much as dose, and no formula on this page contains volume.

There is a second caveat worth knowing. The linear-quadratic model is least reliable at very large fraction sizes, a limitation openly discussed in ASTRO-aligned radiobiology literature, and specialist teams apply modified approaches in that range. It also says nothing about how long the overall course runs, which matters in its own right for some cancer sites.

Which is why the arithmetic is a tool for a conversation, not a verdict. A converted number tells you how two schedules relate on one axis. Your radiation oncologist and the tumour board weigh several more before a plan is approved.

You are allowed to ask why

One conversation can settle a comparison you cannot stop making

Whether radiation has just been advised or you are already partway through a course, a radiation oncologist can explain what your schedule means in the same terms as the one you are comparing it against.

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Common questions

BED, EQD2 and Schedules — Questions Answered

How do you compare 20 radiation sittings with 5?

You cannot compare them by the total Gray alone. Two schedules are placed on a common scale using BED and EQD2, arithmetic that accounts for the size of each individual fraction rather than only the total. A course of 5 large fractions and a course of 20 smaller ones can then be read side by side in the same units. The conversion uses the linear-quadratic model, which is the standard approach in ASTRO-aligned radiation oncology practice. It is worth knowing that one schedule produces more than one converted number, because tumour tissue and late-responding healthy tissue react differently to fraction size.

Is a shorter radiation course a lower dose?

Usually not in the way it looks. A shorter course carries a lower number of Gray on the plan sheet, but each session delivers a larger dose. Larger fractions carry more biological effect per Gray delivered. Once that is accounted for through BED or EQD2, a 15-session course can sit close to, and sometimes well above, a 30-session one. That is the whole reason the conversion exists. A shorter schedule is chosen for the cancer type, the site and the goal of treatment, and the number of sessions on its own does not tell you whether a plan is stronger or weaker.

Why do radiation oncologists convert schedules to EQD2?

Because Gray measures the energy absorbed, not the biological effect it produces. The same total delivered in bigger pieces does more to tissue than the same total delivered in smaller pieces. EQD2 restates any schedule as the dose that would have produced a comparable effect if it had been given in 2 Gy fractions. Two Gy is used as the reference because most published guideline evidence was historically built on 2 Gy per fraction, so converting to that scale lets a team compare a new schedule against a large body of existing knowledge in one consistent currency.

My friend had 33 sessions and I have been given 15. Am I getting less treatment?

Not necessarily, and the session count alone cannot answer it. Your friend may have a different cancer, in a different part of the body, with a different treatment goal, and almost certainly a different dose per session. When two schedules are converted to EQD2 the gap between them usually narrows sharply, and sometimes reverses. There are also things the arithmetic does not capture, including how much healthy tissue sits inside the treated volume and which technique is used. The person who can tell you what your own schedule means is your radiation oncologist, and asking is entirely reasonable.

What is the alpha/beta ratio in radiation therapy?

It is a number that describes how sensitive a particular tissue is to the size of each fraction rather than to the total dose. Tumours and early-responding tissues such as skin and the lining of the gut are generally modelled with a higher ratio, commonly taken as around 10 Gy. Late-responding healthy tissues such as nerve, lung and connective tissue are modelled with a lower ratio, commonly around 3 Gy. A low ratio means the tissue is more affected by large fractions. Some sites are recognised exceptions with lower tumour values, which is part of why hypofractionated schedules suit certain cancers.

Can I work out the BED or EQD2 of my own plan myself?

The arithmetic is simple enough to do on paper, but the interpretation is not, and that is the part that matters. The result changes completely depending on which alpha/beta value you choose, and choosing it correctly means knowing the tissue, the site and the clinical situation. The model is also least reliable at very large fraction sizes, where specialist teams apply modified versions. Working out a number and drawing a conclusion from it on your own is how patients frighten themselves unnecessarily. Bring your plan sheet to a review appointment and ask for the comparison to be explained instead.

This page explains general treatment concepts; it is not a substitute for guidance from your own radiation oncology team about your specific diagnosis, staging and treatment plan.

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