Laser speckle contrast imaging of perfusion in oncological clinical applications: a literature review
Catégorie d'article: Review
Publié en ligne: 15 sept. 2024
Pages: 326 - 334
Reçu: 16 juil. 2024
Accepté: 26 juil. 2024
DOI: https://doi.org/10.2478/raon-2024-0042
Mots clés
© 2024 Rok Hren et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
In the cancer research and treatment, the assessment of tissue perfusion and microcirculation plays a pivotal role in understanding tumor physiology, monitoring treatment responses, and determining surgical outcomes. Among the advanced visualization systems, fluorescence angiography utilizing indocyanine green (FA-ICG) has emerged as an objective tool for evaluating intraoperative perfusion.1,2,3 Despite its versatility, FA-ICG imaging has limitations: for example, it requires external dye injection, is constrained by pharmacokinetic factors in repeat assessments, and may potentially lead to allergic reactions to the dye.2 To overcome these shortcomings, novel imaging techniques have been explored for microvascular imaging.
One such modality is laser speckle contrast imaging (LSCI), a non-invasive optical imaging technique based on the unique properties of laser light to visualize blood flow and tissue perfusion in real-time.4,5 At the core of LSCI lies the phenomenon of capturing the dynamic interference pattern, known as speckle, created when coherent laser light interacts with moving particles such as red blood cells, generating a real-time 2D color heatmap of blood flow (Figure 1).6 By analyzing the temporal fluctuations in the speckle pattern, LSCI can quantitatively assess blood flow velocity, perfusion dynamics, and tissue microcirculation with high spatial and temporal resolution.

Schematic representation of the laser speckle contrast imaging (LSCI) method.
LSCI is a versatile modality with its applicability ranging from material science7 to notable applications in medical therapeutic segments.8 LSCI has aided, among others, in studying retinal blood flow9, cardiovascular diseases10,11 and organ perfusion6,12, while demonstrating potential as a valuable tool for assessing burns13,14,15 and wound healing processes16,17,18, and monitoring perfusion during reconstructive surgery19 and neurosurgery.20,21,22,23,24,25,26 The value of LSCI in quantifying blood flow dynamics within clinical oncology remains unclear, and to that end, we systematically reviewed the literature with a specific focus on studies in which LSCI was conducted on patients in a clinical oncology setting.
Authors conducted jointly—to minimize potential bias—a comprehensive literature search on April 16, 2024, through PubMed, Web of Science and Scopus electronic databases using the following search terms: “laser speckle coherence imaging tumors”, “laser speckle coherence imaging cancer”, “laser speckle coherence imaging carcinoma”, “laser speckle coherence imaging anastomosis”, and “laser speckle coherence imaging thyroid”. No restrictions on publication date or language were imposed. The inclusion criterion was the application of LSCI in a clinical oncological setting, meaning that all animal and phantom,
In total, 309 articles were found to be of interest in the PubMed, Web of Science and Scopus databases. After excluding duplicates and applying the exclusion criteria, first considering the title and abstract and then, if necessary, reading the entire article, 36 articles were identified for further analysis. The anatomical locations of tumors in the selected articles were as follows: brain (5 articles), breasts (2 articles), endocrine glands (4 articles), skin (12 articles), and the gastrointestinal (GI) tract (13 articles).
Parthasarathy
Included articles reporting the use of laser speckle contrast imaging (LSCI) to quantify perfusion in clinical applications in oncology
2010 | 3 | Tumor resection | |
2014 | 10 | Tumor resection | |
2017 | 8 | Tumor resection | |
2013 | 8 | Tumor resection | |
2017 | 12 | Tumor resection | |
2017 | 15 | Adjuvant radiotherapy for stage I-II breast cancer | |
2020 | 23 | Deep inferior epigastric artery perforator (DIEP) flap surgery | |
2021 | 42 | Non-functioning adrenal incidentaloma | |
2017 | 28 | Thyroidectomy/parathyroidectomy | |
2021 | 72 | Thyroidectomy | |
2023 | 21 | Thyroidectomy/parathyroidectomy | |
2012 | 214 lesions | Malignant melanoma, squamous cell carcinoma, basal cell carcinoma, melanocytic nevus, seborrheic keratosis | |
2012 | 12 | Basal cell carcinoma | |
2019 | 12 (total 143) | Facial nerve palsy due to nerve tumor (also including other etiology) | |
2021 | 9 | Basal cell carcinoma | |
2019 | 13 | Oculoplastic reconstructive surgery (tarsoconjunctival flaps) | |
2019 | 9 | Oculoplastic reconstructive surgery (tarsoconjunctival flaps) | |
2021 | 12 | Oculoplastic reconstructive surgery after squamous cell carcinoma, basal cell carcinoma, and intradermal nevus | |
2021 | 7 | Oculoplastic reconstructive surgery after squamous cell carcinoma and basal cell carcinoma | |
2021 | 7 | Oculoplastic reconstructive surgery after squamous cell carcinoma and basal cell carcinoma | |
2021 | 1 | Oculoplastic reconstructive surgery | |
2022 | 7 | Oculoplastic reconstructive surgery after squamous cell carcinoma and basal cell carcinoma | |
2024 | 1 | Cutaneous angio-sarcoma | |
2014 | 10 | Liver resection | |
2016 | 11 | Esophagectomy | |
2017 | 45 | Esophagectomy | |
2017 | 25 | Ivor-Lewis esophagectomy | |
2017 | 2 | Colorectal resection | |
2018 | 26 | Esophagectomy | |
2019 | 8 | Colorectal resection | |
2020 | 36 | Colorectal resection (34 due to colorectal carcinoma) | |
2019 | 10 | Colorectal resection | |
2020 | 27 | Colorectal resection | |
2020 | 24 | Esophagectomy | |
2023 | 67 | Hemicolectomy and sigmoid resection | |
2023 | 40 | Colectomy, also non-oncological interventions (Roux-en-Y gastric bypass and sleeve gastrectomy) |
Another research group25 highlighted the potential of LSCI for functional brain mapping during awake craniotomy for tumor removal. They observed a strong correlation between cortical microvascular blood flow, as determined by LSCI, and electrocortical stimulation mapping. Additionally, Ideguchi
Tesselaar
In another prospective clinical pilot study conducted across two centers30, LSCI was employed in 23 women undergoing primary, secondary, or tertiary deep inferior epigastric artery perforator (DIEP) procedures, either unilateral or bilateral. Researchers used laser speckle patterns to calculate perfusion values in arbitrary units (PU), reflecting the concentration and mean velocity of red blood cells. Categorizing patients into high (> 30) and low (< 30) PU, they found that all flaps with perfusion < 30 PU immediately after surgery had postoperative complications, necessitating revision in 4 women. These results suggest potential utility of LSCI for early detection of flap necrosis, aiding surgeons in identifying viable parts of the flaps. Traditionally, assessment of flap viability relies on subjective methods like skin color, flap temperature, capillary refill time, and dermal edge bleeding.
Endothelial reactivity60,61 was evaluated by LSCI in patients with mostly benign non-functioning adrenal incidentaloma.31. Mannoh
Subsequently, Mannoh

Speckle contrast demonstrates lower values for well-vascularized parathyroid glands. Lower speckle contrast values indicate greater blood flow due to more blurring of the speckle pattern, while higher contrast values indicate less blood flow. The top row displays representative white light images, and the bottom row shows speckle contrast images of a well-vascularized (left), a compromised (middle), and a devascularized (right) parathyroid gland, with parathyroid glands marked with ellipses. The corresponding speckle contrast values were 0.11, 0.18, and 0.21, respectively. Taken from Mannoh
Additionally, Mannoh
Tchvialeva
In oculoplastics, Tenland

Representative examples of laser speckle contrast images, showing the blood perfusion in the free skin grafts, immediately postoperatively (0 weeks), and at follow-up after 1, 3, and 7 weeks. It can be seen that reperfusion occurred simultaneously in the center and periphery of the graft, and that complete reperfusion was achieved after 7 weeks. Taken from Berggren
The majority of clinical oncology studies with intraoperative LSCI were conducted in an open surgical setting, which we will review first. In an initial pilot clinical study, Eriksson
Di Maria
Heeman

Typical laser speckle images in two patients. High-resolution laser speckle contrast imaging (LSCI) can indicate the bowel demarcation line at the point of ligation of the marginal vessels.
Based on this literature review, several advantages of LSCI emerge, including its non-invasive and non-contact nature, short acquisition time, high spatial and temporal resolution, low cost of equipment, and simplicity of operation. In the oncological clinical setting, LSCI holds particular promise for assessing skin flap perfusion post-oculoplastic reconstructive surgery and anastomotic perfusion during gastrointestinal reconstruction. While LSCI offers numerous advantages in imaging blood flow dynamics, it is essential to recognize its limitations.
One of the obvious limitations of LSCI in clinical oncology and medical applications, in general, is its restricted penetration depth. LSCI relies on detecting motion contrast generated by moving red blood cells, limiting its applicability to superficial structures. Tumors and lesions located in deeper anatomical locations, such as within organs or soft tissues, may not be adequately visualized due to this limitation, hindering comprehensive evaluation and monitoring of oncological conditions. However, studies like that of Stridh
LSCI is susceptible to motion artifacts, which can arise from either involuntary movement of the subject or vibrations in the imaging setup. These artifacts can lead to image distortions and reduced image quality, compromising the accuracy and reliability of LSCI in clinical oncology. To address this, advanced post-processing algorithms are necessary to improve image quality. Since motion artifacts are well-known sources of artifacts in LSCI, they have been extensively researched. One possibility is to implement motion compensation techniques, such as image stabilization algorithms70 or gating strategies71, which can mitigate the effects of motion artifacts in LSCI. By minimizing motion-induced distortions in the speckle pattern, these techniques improve the accuracy and reliability of blood flow measurements.
The presence of inherent speckle noise in LSCI images can compromise the accuracy and reliability of blood flow measurements, particularly in low-flow regions or under conditions of low contrast. Speckle noise can obscure subtle flow changes and restrict the sensitivity of LSCI in detecting small-scale perfusion variations. Advanced noise reduction algorithms72 offer a solution by effectively suppressing speckle noise and enhancing the signal-to-noise ratio. These algorithms filter out unwanted noise components while retaining relevant flow information, thereby improving the sensitivity and specificity of LSCI in detecting perfusion changes, even in challenging imaging conditions.
A significant limitation of LSCI in clinical oncology is the lack of standardized protocols and interpretation guidelines. Varying acquisition settings, image processing algorithms, or interpretation methodologies across different centers can yield inconsistent and non-comparable results. Establishing standardized protocols and guidelines tailored to oncology applications would enhance the accuracy and reproducibility of LSCI findings.
Despite its potential, the clinical integration of LSCI faces obstacles, including the standardization of imaging protocols, validation of its utility in large-scale clinical trials, and integration into existing surgical workflows. Addressing these limitations requires advancements in technology, algorithm refinement, and increased participation of clinical sites in conducting trials. Overcoming these challenges is essential for realizing the full potential of LSCI in clinical oncology; it is worth noting that other biomedical optical imaging techniques65,66,67,73,74,75,76,77,78,79,80 are likely to encounter similar challenges in the future.