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Top 10 Best Dosimetry Software of 2026

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Top 10 Best Dosimetry Software of 2026

Editorial roundup comparing dosimetry software options for treatment planning, workflows, and feature tradeoffs. Helps teams shortlist tools.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

Dosimetry software determines how treatment teams convert imaging data into dose calculations, plan review insights, and dose verification evidence for clinical QA. This comparison helps analysts and medical physics staff choose between integrated planning platforms and independent dose calculation tools based on integration fit, reporting outputs, and automation for audit-ready documentation.

RayStation is the best overall pick for physics teams that need plan-linked dose review with automation, since plan evaluation stays synchronized to the exact calculated dataset throughout DVH and isodose inspection, whereas PTW MEPHYSTO fits measurement-centric QA sign-off workflows thanks to repeatable, documented analysis steps built around commissioning and acceptance routines.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

RayStation

Plan evaluation is built into the planning workflow, so DVH and dose views remain synchronized to the exact calculated dataset.

Best for: Fits when physics teams need plan-linked dose review with automation and consistent commissioning controls.

2

Monaco

Editor pick

Clinical plan review workflow tailored to Elekta imaging and treatment review steps with review-grade outputs.

Best for: Fits when Elekta-centered teams need consistent, high-throughput dose review and documentation exports.

3

Precision Treatment Planning

Editor pick

Imaging-connected review workflow that keeps dose visualizations and review outputs aligned to the same DICOM-RT context.

Best for: Fits when physics teams need image-linked dose reviews with repeatable DVH and isodose comparison.

Comparison Table

1
RayStationBest overall
enterprise
9.1/10
Overall
2
enterprise
8.7/10
Overall
3
8.6/10
Overall
4
enterprise
8.3/10
Overall
5
vertical specialist
8.2/10
Overall
6
vertical specialist
7.9/10
Overall
7
vertical specialist
7.5/10
Overall
8
vertical specialist
7.3/10
Overall
9
6.8/10
Overall
10
6.7/10
Overall
#1

RayStation

enterprise

Treatment planning software with integrated radiation dose calculation and adaptive planning workflows.

9.1/10
Overall
Features9.1/10
Ease of Use9.2/10
Value9.0/10
Standout feature

Plan evaluation is built into the planning workflow, so DVH and dose views remain synchronized to the exact calculated dataset.

RayStation covers core dosimetry review needs for external beam plans by combining structure set handling, dose calculation, and downstream plan assessment in one workstation workflow. Plan evaluation includes DVH-based comparisons and graphical plan views tied to the calculated dose distribution, which reduces context switching during peer review. The software also supports advanced planning and delivery-related preparation tasks that depend on accurate machine and beam modeling.

A tradeoff appears in operational overhead, because high-fidelity beam model commissioning and consistent calculation settings require disciplined setup and ongoing QA. RayStation fits best when departments need repeatable imaging-to-plan-to-dose-review operations, such as during protocol rollout or annual plan template updates.

Pros
  • +Tight coupling between dose calculation and in-tool plan evaluation review
  • +Detailed DVH and isodose views support structured peer review workflows
  • +Supports complex planning tasks that depend on accurate beam modeling
  • +Scripted workflows help automate repeatable planning and review steps
Cons
  • –Commissioning and calculation consistency require sustained local configuration work
  • –Admin-level governance depth is limited compared with enterprise orchestration tools
  • –Complex plan evaluation setups can slow first-time adoption for teams
  • –Integration breadth depends on how each clinic’s ecosystem is already connected
Use scenarios
  • Medical physics teams

    Protocol-driven dose review across plans

    More consistent peer review

  • Radiation oncology departments

    In-house planning template updates

    Faster template validation

Show 2 more scenarios
  • Treatment planning teams

    Automating repetitive plan setup tasks

    Lower hands-on variation

    Repeatable steps can be scripted to reduce manual variability during plan preparation and checks.

  • Clinical QA and commissioning staff

    Commissioning-dependent dose assurance

    Clearer dose model verification

    Beam modeling changes can be paired with structured dose review outputs for commissioning documentation.

Best for: Fits when physics teams need plan-linked dose review with automation and consistent commissioning controls.

#2

Monaco

enterprise

Treatment planning system focused on inverse planning, Monte Carlo dose calculation, and IMRT workflows.

8.7/10
Overall
Features8.7/10
Ease of Use8.7/10
Value8.7/10
Standout feature

Clinical plan review workflow tailored to Elekta imaging and treatment review steps with review-grade outputs.

Monaco from ELEKTA is a dosimetry and plan review workflow built around Elekta imaging and treatment review steps. It supports structured plan evaluation tasks like dose inspection and review-grade outputs used in clinical dose assessment and QA loops.

Monaco’s main value is tighter operational fit for teams that already run Elekta ecosystems and need consistent plan review and dose comparison workflows. The software emphasizes review throughput and repeatable exports that integrate into downstream compliance and documentation practices.

Pros
  • +Workflow depth for imaging-linked plan review steps common on Elekta systems
  • +Repeatable dose review outputs that help standardize clinical documentation
  • +Supports review use cases that prioritize fast inspection over ad hoc analysis
  • +Designed to fit operational processes around treatment review and QA
Cons
  • –Less suitable for heterogeneous, non-Elekta imaging and planning stacks
  • –Advanced commissioning-style analysis depends on workflow integration rather than standalone tools
  • –Customization depth can lag teams that need fully programmable evaluation logic
  • –Complex plan review pipelines may require careful local process configuration
Use scenarios
  • Radiation oncology medical physicists

    Elekta plan dose inspection checklist

    Fewer review inconsistencies

  • Clinical QA coordinators

    Dose comparison exports for QA

    Faster QA evidence packaging

Show 1 more scenario
  • Treatment planning teams

    Version-to-version plan review trail

    Traceable plan changes

    Supports consistent plan evaluation tasks so reviewers can compare dose changes between plan revisions.

Best for: Fits when Elekta-centered teams need consistent, high-throughput dose review and documentation exports.

#3

Precision Treatment Planning

enterprise

Radiation treatment planning software for helical, robotic, and conventional dose planning workflows.

8.6/10
Overall
Features8.6/10
Ease of Use8.6/10
Value8.6/10
Standout feature

Imaging-connected review workflow that keeps dose visualizations and review outputs aligned to the same DICOM-RT context.

Precision Treatment Planning is built around plan review tasks that depend on consistent imaging inputs, so dose inspection stays connected to the same datasets used for the clinical decision trail. The workflow emphasizes review outputs such as DVH and isodose visualization and reproducible plan comparison between sessions or recalculations. It also supports DICOM-RT exchange so structures and dose artifacts move between systems used for commissioning, plan generation, and QA review.

A practical tradeoff is that the review workflow depends on getting DICOM-RT inputs mapped correctly, including consistent structure naming and coordinate conventions across sources. Precision Treatment Planning fits best when a clinic needs repeatable dose reviews for specific imaging series, such as modality follow-ups or adaptation cycles, where plan-to-plan comparison matters more than building new optimization models.

Pros
  • +Consistent plan review artifacts tied to imaging inputs
  • +Strong DVH and isodose inspection for dose review work
  • +DICOM-RT exchange supports downstream QA and reporting workflows
  • +Repeatable comparisons across review sessions and datasets
Cons
  • –DICOM-RT mapping and structure naming consistency can be time-consuming
  • –Inverse planning validation depends on upstream plan quality inputs
  • –Advanced automation requires process discipline around standardized inputs
Use scenarios
  • Medical physics teams

    Independent dose review for IMRT

    Faster, consistent plan sign-off

  • Clinic QA coordinators

    Plan comparison across follow-up scans

    Clear variance tracking

Show 1 more scenario
  • Dosimetry groups

    Exchange dose artifacts with TPS

    Less manual data handling

    Dosimetry groups move structure and dose data through DICOM-RT so review remains standardized.

Best for: Fits when physics teams need image-linked dose reviews with repeatable DVH and isodose comparison.

#4

MIM Maestro

enterprise

Imaging and radiation oncology platform that supports contouring, plan review, and dose analysis workflows.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Batch-capable dosimetry review workflows that standardize multi-plan DVH and dose overlay comparison across cases.

MIM Maestro handles the core mechanics of plan review by linking structures, dose, and imaging views so dose-volume effects can be inspected from both numeric and visual angles. DVH calculation and isodose rendering support iterative dose review after plan modifications, while structure import and editing enable consistent anatomy mapping across cases.

Pros
  • +Tight coupling of imaging, structures, and dose for fast dose-review navigation
  • +DVH generation and constraint-oriented reporting for consistent plan comparisons
  • +Batch workflows reduce effort for multi-plan review and repeated tracking
  • +Governed environment support for controlled multi-user deployments
Cons
  • –Deep automation requires upfront configuration of review conventions
  • –Complex cases can slow performance if dose resolution and overlays are heavy
  • –Workflow breadth increases training time for new reviewers
  • –Advanced customization can depend on internal standards and disciplined data prep
Use scenarios
  • Medical physics QA teams

    Imaging performance tracking across repeated scans

    Faster trend review and fewer manual steps

  • Radiation oncology departments

    Dose review for constraint compliance

    Clearer compliance documentation

Show 2 more scenarios
  • Treatment planning groups

    Multi-plan comparisons after optimization changes

    Quicker plan selection decisions

    Side-by-side DVH and overlay views reduce time spent reconciling differences across plan iterations.

  • QA analytics operators

    Standardized report generation at scale

    Higher throughput with consistent outputs

    Scripted review runs automate repetitive dose review and output formatting for larger case batches.

Best for: Fits when teams need repeatable imaging performance tracking and dose-review reporting with governed multi-user use.

#5

PTW MEPHYSTO

vertical specialist

Beam data acquisition and analysis software for commissioning and acceptance testing in radiation therapy.

8.2/10
Overall
Features8.2/10
Ease of Use8.1/10
Value8.3/10
Standout feature

Imaging and measurement comparison workflows tailored to imaging performance tracking and dose review sign-off processes.

PTW MEPHYSTO is a dosimetry software suite used for commissioning measurements, plan dose review, and QA reporting in clinical workflows. It supports import and evaluation of measurement-derived data and plan-related dose information, with analysis outputs designed for consistent comparison across sessions.

Pros
  • +Commissioning and plan review workflows match measurement-centric QA routines
  • +Repeatable analysis steps support consistent dose review across review cycles
  • +Export-ready review outputs reduce manual reformatting for documentation
  • +Imaging and measurement comparison supports imaging performance tracking
Cons
  • –Advanced customization relies on configuration patterns rather than flexible scripting
  • –Complex multi-modality review setup can require careful upfront workflow planning
Use scenarios
  • Dosimetry service teams

    Commissioning measurement evaluation workflow

    Commissioning sign-off

  • Medical physics QA staff

    Plan dose review with session comparisons

    Lower rework during reviews

Show 1 more scenario
  • Radiotherapy compliance coordinators

    Audit-ready dose documentation exports

    Stronger audit documentation

    Generates structured exports that organize review findings for downstream documentation and review evidence.

Best for: Fits when teams need repeatable imaging performance tracking and dose review workflows with documented outputs.

#6

myQA Patients

vertical specialist

Patient QA software for dose verification, trend analysis, and radiotherapy quality management.

7.9/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.9/10
Standout feature

Patient dossier style review trail that ties imaging performance tracking context to dose review decisions in one workflow.

myQA Patients focuses on patient-level dosimetry review workflows for imaging performance tracking and dose review evidence. It supports plan and dose inspection workflows that connect patient data to repeatable review steps used during QA cycles.

Pros
  • +Patient-centric review flow for dose review evidence collection
  • +Imaging performance tracking records review context by patient and session
  • +Structured review steps reduce variability between reviewers
  • +Audit trail supports traceable changes during dose review cycles
Cons
  • –Best fit assumes workflow alignment with existing imaging and dose review habits
  • –Deeper dose-physics customization depends on upstream plan data quality
  • –Advanced modeling controls are limited compared with commissioning tools
  • –Integration breadth with nonstandard QA systems may require custom mapping
Use scenarios
  • Radiotherapy QA managers

    Patient-level dose review evidence

    More defensible review history

  • Imaging QA technologists

    Imaging performance tracking reviews

    Earlier detection of drift

Show 1 more scenario
  • Clinics handling daily plan checks

    High-throughput patient dose inspections

    Quicker daily review completion

    Focuses on daily review throughput by guiding structured plan and dose inspection workflows.

Best for: Fits when teams need patient-level dose reviews with imaging performance tracking and repeatable evidence trails.

#7

Lifeline Software RADCALC

vertical specialist

Independent monitor unit and dose calculation software for radiation therapy verification.

7.5/10
Overall
Features7.5/10
Ease of Use7.6/10
Value7.4/10
Standout feature

RADCALC-centered dose review workflow that standardizes DVH-style reporting for plan comparison across imaging performance cycles.

Lifeline Software RADCALC targets dosimetry workflows where consistent plan inputs and review outputs must track across equipment and analysis cycles. The core capability centers on RADCALC computations used for dose-based review, including DVH-related outputs and plan comparison use cases.

Pros
  • +Focused tooling for dose review workflows with DVH-style outputs
  • +Works as a consistent calculation layer for imaging performance tracking reviews
  • +Produces review-friendly outputs for plan comparison and documentation
  • +Supports repeatable analysis runs across similar datasets
Cons
  • –Automation depth depends on how the department integrates outputs
  • –Setup requires careful mapping of analysis inputs to expected computation settings
  • –Advanced commissioning workflows may require complementary modules or separate tools
  • –Large structure sets can slow iterative review cycles
Use scenarios
  • Medical physics analysts

    RADCALC dose and DVH report generation

    Consistent dose reporting

  • Departmental QA leads

    Plan input consistency validation

    More repeatable checks

Show 1 more scenario
  • Radiation therapy treatment reviewers

    Cross-plan comparison of calculated dose

    Clearer plan comparison findings

    Produces exportable comparison-ready results for validating calculations during imaging-related review activities.

Best for: Fits when dosimetry teams need repeatable dose review outputs linked to imaging performance tracking and compliance documentation.

#8

Standard Imaging DoseView

vertical specialist

Dosimetry software for radiation therapy QA data analysis and reporting.

7.3/10
Overall
Features7.3/10
Ease of Use7.3/10
Value7.3/10
Standout feature

Review experience tailored to imaging performance tracking workflows and decision-ready comparisons across plan and version sets.

Standard Imaging DoseView is a dosimetry-focused review tool built around DoseWatch-style imaging performance workflows and decision-ready plan comparisons. It supports dose review using standard clinical artifacts like dose distributions and structure sets, with plan and fraction context that helps teams track changes between versions.

Pros
  • +Designed for dose review workflows tied to imaging performance tracking
  • +Version-to-version plan comparisons support structured clinical signoff
  • +Strong focus on presenting dose distributions and review context
  • +Fits existing Standard Imaging toolchains for imaging and dose processes
Cons
  • –DVH-style analytics are less central than review and tracking workflows
  • –Integration depth can depend on Standard Imaging ecosystem usage
  • –Advanced commissioning-level controls are not the primary emphasis
  • –Collaboration and governance features require deliberate deployment planning
Use scenarios
  • Imaging physics teams

    DoseView structured audit-style plan reviews

    More actionable review packs

  • Clinical reviewers in QA cycles

    Track fraction-aware dose changes

    Better change traceability

Show 1 more scenario
  • Standard Imaging ecosystem administrators

    Integration-driven imaging-dose workflows

    Fewer handoff steps

    Fits into an imaging performance tracking and review ecosystem built around Standard Imaging tooling.

Best for: Fits when teams already run Standard Imaging imaging-dose workflows and need structured plan comparisons for dose reviews.

#9

Oncology Systems Limited IMSure

vertical specialist

Independent dose verification software for external beam radiation therapy plans.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Case-linked review worklists that keep dose review outputs organized per patient and plan cycle.

Oncology Systems Limited IMSure generates dose review outputs and supports worklists for treatment plan dosimetry workflows. It focuses on plan QA style comparisons and imaging and dose related performance tracking tied to clinical review cycles.

Pros
  • +Produces consistent dose review artifacts for repeatable plan evaluation
  • +Supports structured case worklists for sequential review throughput
  • +Handles clinical review workflows without requiring custom scripting
  • +Works well when review artifacts must stay tied to specific cases
Cons
  • –Automation and API surface are limited for deep system integration
  • –Dose engine and algorithm coverage are less comprehensive than specialist tools
  • –Workflow customization relies more on configuration than extensibility
  • –Some imaging and dose recalculation scenarios may require external handling
Use scenarios
  • Treatment plan QA technicians

    Worklist-based dose review processing

    More consistent review execution

  • Physics QA supervisors

    Imaging and dose performance tracking

    Improved longitudinal oversight

Show 1 more scenario
  • Clinical informatics coordinators

    Standardized review artifact exports

    Repeatable review documentation

    Generates dose review outputs that can be repeated across cases based on how source integrations supply plan data.

Best for: Fits when teams need consistent plan dose review outputs and repeatable case worklists without heavy integration demands.

#10

The Phantom Laboratory PIPSpro

vertical specialist

Imaging and radiation dose QA software used for diagnostic and therapy physics programs.

6.7/10
Overall
Features6.7/10
Ease of Use6.7/10
Value6.7/10
Standout feature

PIPSpro’s focused plan review workflow emphasizes consistent dose and structure alignment across iterative QA cycles.

The Phantom Laboratory PIPSpro targets physics teams that need repeatable dose analysis workflows across plans, departments, and vendors. The system focuses on importing study data, reviewing dose distributions, and generating structured outputs for QA and plan evaluation cycles.

Pros
  • +Strong review workflow for plan-to-plan comparisons and dose distribution inspection
  • +Structured reporting supports consistent dose analysis writeups across multiple cases
  • +Import and mapping workflows reduce manual rework during iterative reviews
  • +Review outputs align with physics-led QA documentation needs
Cons
  • –Depth of DICOM-RT export and DVH calculation depends on specific configured modules
  • –Automation breadth is narrower than general dosimetry suites with wide external API coverage
  • –Inverse planning, adaptive planning, and robust optimization require separate treatment workflows
  • –Setup and configuration require disciplined commissioning alignment and consistent naming
Use scenarios
  • Physics departments

    Multi-plan dose distribution review workflow

    Uniform QA outputs

  • Inter-vendor QA analysts

    Dose and structure alignment checks

    More comparable DVHs

Show 1 more scenario
  • QA automation-focused teams

    Repeatable review views for comparisons

    Faster plan comparison cycles

    Creates review views that standardize comparisons between plans within Phantom Laboratory data pipelines.

Best for: Fits when imaging performance tracking and dose review teams need repeatable, physics-oriented analysis reports.

Conclusion

After evaluating 10 dosimetry software, RayStation stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
RayStation

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Dosimetry Software

Which tools handle imaging-performance tracking alongside dose review artifacts?
Standard Imaging DoseView organizes dose review outputs in the same imaging-dose workflow context used for performance tracking. myQA Patients ties patient-level review trails to imaging performance tracking context while running repeatable dose inspection steps. PTW MEPHYSTO supports imaging and measurement comparisons with traceable review outputs designed for recurring QA cycles.
How do dosimetry review workflows differ between plan-linked workstations and patient dossier tools?
RayStation keeps DVH-based plan evaluation synchronized to the calculated dose dataset inside the planning workflow, so reviewers stay within one context. myQA Patients focuses on patient dossier style review trails that connect plan and dose inspection to imaging-performance tracking evidence. Monaco emphasizes clinical plan review steps and review-grade exports that fit Elekta-centric imaging and treatment review loops.
When does DICOM-RT exchange matter more than internal data handling?
Precision Treatment Planning depends on correctly mapped DICOM-RT inputs so structure naming and coordinate conventions remain consistent across sessions. MIM Maestro supports structured import and editing so teams can keep structure set alignment stable across many cases and repeated reviews. Precision Treatment Planning shows the strongest failure mode when DICOM-RT structure mapping is inconsistent, because DVH and isodose comparisons follow the mapped geometry.
What breaks if structure naming conventions differ across plan sources?
MIM Maestro relies on structure import and editing to maintain consistent structure alignment across users and devices, so mismatched naming can produce incorrect structure-dose overlays. Precision Treatment Planning can misalign review outputs when DICOM-RT structure naming or coordinate conventions drift between sources. PIPSpro flags issues during dose and structure alignment workflows because its repeatable DVH-style reporting depends on consistent mapping.
Which products support dose review worklists for repeatable QA cycle throughput?
Oncology Systems Limited IMSure generates treatment plan dosimetry worklists that convert imported plan and measurement data into structured review artifacts. Monaco emphasizes high-throughput clinical plan review steps and repeatable exports for downstream documentation. PTW MEPHYSTO centers automation on repeatable evaluation workflows that departments use across frequent plan and measurement cycles.
How do DVH calculation and dose visualization capabilities show up in day-to-day reviews?
MIM Maestro provides DVH calculation and isodose rendering tied to linked structures, dose, and imaging views for iterative inspection. RayStation includes DVH-based comparisons and graphical plan views tied to the calculated dose distribution. RADCALC-centered workflows in Lifeline Software RADCALC standardize DVH-style reporting for plan comparison across imaging-performance cycles.
Which tools are better suited for dose-based review exports used for compliance documentation?
Standard Imaging DoseView packages decision-ready plan comparisons and dose discussion outputs in an audit-style review format built around its imaging-dose ecosystem. Oncology Systems Limited IMSure focuses on converting imported plan and measurement data into structured review artifacts that can be exported per patient and plan cycle. Lifeline Software RADCALC standardizes dose-based review outputs centered on RADCALC computations and DVH-related reporting.
How do commissioning and calculation controls affect plan review reliability?
RayStation requires disciplined beam model commissioning and consistent calculation settings because its plan evaluation stays synchronized to the exact calculated dataset. PTW MEPHYSTO supports commissioning measurement import and evaluation workflows, so dose review outputs track the analysis steps used for QA. Monaco emphasizes operational fit for Elekta ecosystems, where consistent imaging and treatment review steps reduce context switching during dose comparisons.
What extensibility and governance controls matter for multi-user dose review teams?
MIM Maestro supports governed multi-user use but deep customization requires deliberate setup for agreed structure naming, configuration defaults, and review conventions. PTW MEPHYSTO uses repeatable evaluation workflows rather than free-form scripting, which limits governance drift across users. myQA Patients targets audit-ready review trails for departments that need consistent evidence capture during ongoing compliance documentation.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Dosimetry Software

Options differ most in how well they handle dosimetry data across your workflow, how reliably exports and reports match your needs, and how repeatable the results are with your typical plans. Focus on labels like DICOM import/export, measurement comparison, and audit trail.

DICOM import and export compatibility

Why it matters

DICOM import/export compatibility determines whether your dosimetry workflow stays consistent from imaging and planning to review and documentation. When this breaks, you lose structures, dose grids, or metadata needed for accurate comparison.

How to check

In the demo, import a sample case that includes the structures and dose data you normally use, then export the same case after review. Ask what dose and structure elements are preserved and request a before/after check of the exported files.

Dose report and structure reporting depth

Why it matters

Dose report and structure reporting depth separates tools that summarize results from tools that support your actual review steps and documentation needs. If reporting is shallow, you end up redoing work elsewhere.

How to check

Load a test case and generate the standard reports your team expects (plan-level summary plus per-structure breakdown). Verify you can include the exact fields and naming you rely on, then export the report in a format your internal process accepts.

Repeatability of dose comparison results

Why it matters

Repeatability of dose comparison results matters because dosimetry decisions often hinge on small differences. A tool that yields different outcomes for the same input undermines confidence in review.

How to check

Run the same comparison twice without changing inputs, then compare outputs (tables and any summary metrics). Ask whether comparisons depend on hidden settings like interpolation or resampling, and show those settings in the UI.

Measured data pairing and comparison

Why it matters

Measured data pairing and comparison is the difference between viewing predictions and validating them against reality. If pairing is weak, you cannot trace what was measured for which plan setup.

How to check

Provide or use a sample measured dataset and confirm how the tool matches it to the plan context. Then run a comparison and verify you can see the paired items clearly (what measurement corresponds to what plan and region).

Result traceability with audit trail

Why it matters

Result traceability with audit trail helps teams understand what changed between versions of a review and who produced a given outcome. Without it, retrospective review becomes slow and error-prone.

How to check

During the demo, perform a small change (e.g., filter, selection, or output format) and regenerate results. Confirm the system records the change context and associates it with a user/time entry you can export or review later.

Red flags

  • Exported cases lose structures or dose context after a round-trip
  • Comparison results shift when you rerun without changing inputs
  • Audit trail records users but not the actual change context

Fit by situation

  • If we mostly review incoming cases from other systems, prioritize DICOM import and export compatibility.
  • If we validate plans against our own measurements, prioritize measured data pairing and comparison.
  • If we need defensible documentation for repeatable reviews, prioritize result traceability with audit trail.
Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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