From Observation to Quantification: Is Oculoplastic Surgery Ready for Objective Imaging?

Over the past few decades, imaging has transformed the way ophthalmologists assess and monitor disease. This transformation is perhaps most evident in retinal disease and glaucoma, where high-resolution imaging has become part of everyday clinical practice and objective measurements increasingly complement what we see during examination. Oculoplastic and orbital surgery has followed this path more slowly. Much of our assessment still relies on clinical observation, photography and relatively simple measurements. The question is whether this is now beginning to change.

Optical coherence tomography (OCT) offers a good example. Anterior segment OCT (AS-OCT) provides high-resolution, cross-sectional images of ocular tissues using optical interferometry [1]. When applied beyond its more established anterior segment indications, it can reveal periocular anatomical details that are difficult to appreciate-and even more difficult to quantify-during conventional examination.

The proximal lacrimal drainage system is one area in which this has practical implications. AS-OCT can image the lacrimal punctum and vertical canaliculus and allows several anatomical parameters to be measured objectively [2]. This is more than an imaging curiosity. If these measurements can be standardized and shown to correlate consistently with symptoms and functional obstruction, they may eventually help us define disease more precisely, compare findings between patients and assess treatment outcomes with less reliance on subjective interpretation. At present, however, the relationship between structural OCT findings and lacrimal function remains an important limitation [2].

The lacrimal gland provides another interesting example. Recent work using AS-OCT has identified morphological differences in the palpebral lobe of the lacrimal gland in patients with chronic ocular graft-versus-host disease [3]. These included changes in visible glandular structures and vascularity, as well as characteristic imaging patterns associated with disease severity. The clinical significance of these findings still needs to be established, but they raise an intriguing possibility: that a structure traditionally assessed mainly through clinical examination and conventional orbital imaging might also become accessible to non-invasive, repeatable quantitative evaluation.

A similar transition is taking place in orbital disease. Thyroid eye disease is particularly illustrative. CT and MRI remain central to the evaluation of deeper orbital structures, but newer imaging approaches are beginning to provide information that goes beyond conventional descriptions of extraocular muscle enlargement or orbital fat expansion. Anterior segment OCT angiography, for example, has been used to quantify superficial ocular vascular changes before and after orbital decompression [4]. Such studies do not yet establish a new standard of care, but they illustrate a broader point: imaging can increasingly document biological and postoperative changes that are otherwise difficult to capture objectively.

At the same time, the amount of information that can be extracted from conventional imaging is also changing. Artificial intelligence and machine-learning methods have been investigated across a growing range of oculoplastic conditions, including ptosis, eyelid malignancies, orbital lesions, orbital trauma and thyroid eye disease [5]. Their potential lies not simply in automated diagnosis, but also in extracting quantitative information from clinical photographs and radiological images that would be difficult to obtain consistently by manual assessment. Nevertheless, current evidence remains heterogeneous, and important challenges include non-standardized imaging datasets, external validation, generalizability, privacy and integration into real-world clinical practice [5].

Why does this matter for oculoplastic surgeons? Our specialty is unusually visual, yet many of the variables that influence our decisions are still described qualitatively or measured with techniques that have changed relatively little over time. Terms such as mild, moderate, prominent, asymmetric or improved remain useful clinically, but they are inherently dependent on the observer. Photography has greatly improved documentation, but a photograph is not necessarily a measurement.

Moving from observation to quantification could therefore have implications well beyond diagnosis. Reproducible imaging-derived measurements may eventually improve preoperative planning, allow more meaningful comparison of pre- and postoperative anatomy, and provide better endpoints for clinical research. They may also help us distinguish changes that are visually apparent from those that are genuinely measurable.

There is, however, a risk of confusing the ability to measure something with its clinical usefulness. A new imaging parameter has little value simply because it is reproducible. It must also correlate with anatomy, function, symptoms, prognosis or treatment response in a way that matters to patients and clinicians. Standardized acquisition protocols, normative datasets and prospective validation will therefore be essential before many of these techniques can move from research settings into routine practice [2,5].

Oculoplastic surgery does not need to replace clinical judgement with numbers, nor should it. The clinical examination remains fundamental. But other areas of ophthalmology have shown how powerful imaging becomes when observation and quantification are combined rather than treated as alternatives. Oculoplastic and orbital surgery may now be approaching a similar transition.The real question, therefore, is not whether we can measure more of the periocular region. Increasingly, we can. The more important question is whether we can identify which measurements genuinely improve the way we diagnose disease, plan surgery and evaluate our results. That is where objective imaging is likely to make its most meaningful contribution to the future of the specialty.

References

1. Ang M, Baskaran M, Werkmeister RM, Chua J, Schmidl D, et al. (2018) Anterior segment optical coherence tomography. Prog Retin Eye Res 66: 132-156.
2. Ali MJ, Singh S (2021) Optical coherence tomography and the proximal lacrimal drainage system: a major review. Graefes Arch Clin Exp Ophthalmol 259: 3197-3208.
3. Chen J, Yang B, Cheng W, Liao Y, Jin L, et al. (2025) Anterior segment optical coherence tomography imaging of the lacrimal gland in patients with chronic ocular graft-versus-host disease. Cornea 44: 550-558.
4. Rafizadeh SM, Heidari M, Aghajani A, Montazeriani Z, Afshar P, et al. (2024) Superficial ocular vascular changes after orbital decompression in patients with thyroid ophthalmopathy measured by anterior segment OCT angiography; an observational study. Sci Rep 14: 14572.
5. Meer E, Kao B, Hekmatjah N, Lu J, Winn B, et al. (2025) Artificial intelligence in oculoplastics: a review. Ophthalmic Plast Reconstr Surg 41: 372-387.