Multimodal real-time imaging with laser speckle contrast and fluorescent contrast.

INTRODUCTION: Laser speckle contrast imaging (LSCI) can achieve real-time 2D perfusion maps non-invasively. However, LSCI is still difficult to use in general clinical applications because of movement sensitivity and limitations in blood flow analysis. To overcome this, fluorescence imaging (FI) is combined with LSCI using a light source with a wavelength of 785 nm in near-infrared (NIR) region and validates to visualize real-time blood perfusion. MATERIALS AND METHODS: The system was performed using Intralipid and indocyanine green (ICG) in a flow phantom that has three tubes and controlled the flow rate in 0-150 µl/min range. First, real-time LSCI was monitored and measured the change in speckle contrast by reperfusion. Then, we visualized blood perfusion of a rabbit ear under the non-invasive condition by intravenous injection using a total of five different ICG concentration solutions from 128 µM to 3.22 mM. RESULTS: The combined system achieved the performance of processing laser speckle images at about 37-38 fps, and we simultaneously confirmed the fluorescence of ICG and changes in speckle contrast due to intralipid as a light scatterer. In addition, we obtained real-time contrast variation and fluorescent images occurring in rabbit's blood perfusion. CONCLUSIONS: The aim of this study is to provide a real-time diagnostic imaging system that can be used in general clinical applications. LSCI and FI are combined complementary for observing tissue perfusion using a single NIR light source. The combined system could achieve real-time visualization of blood perfusion non-invasively.

Detectable depth of unexposed parathyroid glands using near-infrared autofluorescence imaging in thyroid surgery.

Background: Near-infrared light can penetrate the fat or connective tissues overlying the parathyroid gland (PG), enabling early localization of the PG by near-infrared autofluorescence (NIRAF) imaging. However, the depth at which the PG can be detected has not been reported. In this study, we investigated the detectable depth of unexposed PGs using NIRAF during thyroidectomy. Materials and methods: Fifty-one unexposed PGs from 30 consecutive thyroidectomy patients, mapped by an experienced surgeon (K.D. Lee) with the use of NIRAF imaging, were included. For NIRAF detection of PGs, a lab-built camera imaging system was used. Detectable depths of the unexposed PGs were measured using a Vernier caliper. The NIRAF images were classified as faint or bright depending on whether a novice could successfully interpret the image as showing the PG. Data on variables that may affect detectable depth and NIRAF intensity were collected. Results: Detectable depth ranged between 0.35 and 3.05 mm, with a mean of 1.23 ± 0.73 mm. The average NIRAF intensity of unexposed PGs was 3.13 au. After dissection of the overlying tissue, the intensity of the exposed PG increased to 4.88 au (p < 0.001). No difference in NIRAF intensity between fat-covered (3.27 ± 0.90 au) and connective tissue-covered PGs (3.00 ± 1.23 au) was observed (p = 0.369). PGs covered by fat tissue (depth: 1.77 ± 0.67 mm) were found at deeper locations than those covered by connective tissue (depth: 0.70 ± 0.21 mm) (p < 0.001). The brightness of images of the faint group (2.14 ± 0.48 au) was on average 1.24 au lower than that of the bright group (3.38 ± 1.04 au) (p = 0.001). A novice successfully localized 80.4% of the unexposed PGs. Other variables did not significantly affect detectable depth. Conclusion: Unexposed PGs could be mapped using NIRAF imaging at a maximum depth of 3.05 mm and an average depth of 1.23 mm. A novice was able to localize the PGs before they were visible to the naked eye at a high rate. These results can be used as reference data for localization of unexposed PGs in thyroid surgery.

Near-Infrared Autofluorescence Imaging May Reduce Temporary Hypoparathyroidism in Patients Undergoing Total Thyroidectomy and Central Neck Dissection.

Background: Near-infrared autofluorescence (NIRAF) imaging is known to reduce the incidence of post-thyroidectomy hypocalcemia. However, there are no studies on how much NIRAF imaging affects the serum parathyroid hormone (PTH) level after surgery. We investigated the changes of the serum PTH level and ionized calcium (iCa.) in patients undergoing total thyroidectomy with central neck dissection (CND). Materials and Methods: This retrospective study with historical control enrolled 542 patients who underwent total thyroidectomy with CND. Patients were divided into two groups: the NIRAF group (261 patients) and the control group (281 patients). PTH and iCa. levels were measured at the hospital stay, 1, 3, and 6 months after surgery. In addition, the number of identified parathyroid glands (PGs), autotransplanted PGs, and the inadvertent resection rate of PGs was evaluated. Results: The incidence of postoperative hypoparathyroidism (PTH <15 pg/mL) was significantly lower in the NIRAF group during the hospitalization (88 patients: 33.7% vs. 131 patients: 46.6%; p = 0.002) and at 1 month postoperatively (23 patients: 8.8% vs. 53 patients: 18.9%; p = 0.001). There was no difference in the permanent hypoparathyroidism rate (6 months after surgery) between the NIRAF group and the control group (4.2% vs. 4.6%; p = 0.816). There was no difference in the incidence of hypocalcemia (iCa. <1.09 mmol/L) (during hospitalization: 6.5% vs. 10.0%; 1 month: 2.3% vs. 2.5%; 3 months: 0.8% vs. 0.7%; 6 months after surgery: 1.1% vs. 1.1%) between the two groups. The number of inadvertently resected PGs was significantly lower in the NIRAF group (18:6.9% vs. 36:12.8%; p = 0.021). Conclusions: These results suggest that NIRAF imaging may reduce temporary hypoparathyroidism and the risk of inadvertent resection of PGs in patients undergoing total thyroidectomy with CND.

Phase-sensitive fluorescence detector for parathyroid glands during thyroidectomy: A preliminary report.

Despite advances in medical technology, the parathyroid glands are still damaged during thyroid surgery. Our previous studies exploring methods for locating the parathyroid glands using autofluorescence have limitations, such as turning off the surgical light or requiring additional matching between the autofluorescence image and real-surgical field-of-view. We developed a probe-type parathyroid autofluorescence detector using a phase-sensitive process and optical filtering to overcome these limitations. A preliminary clinical trial was performed on eight parathyroid glands in four patients. The normalized mean signal of the normal parathyroid glands was 332% stronger than that of the thyroid, and 384%, 459% and 286% stronger than the signal of the muscle, trachea and fat, respectively. Additionally, the device also detected fluorescence from indocyanine green.

Video-assisted parathyroid gland mapping with autofocusing.

Preservation of the parathyroid gland (PTG) in neck endocrine surgery is important for regulating the amount of calcium in the blood and within the bones. Localization of the PTG has been attempted using various methods such as ultrasound, sestamibi, computerized tomography, magnetic resonance imaging and indocyanine green fluorescence imaging. These methods cannot be used during surgery, have high sensitivity or have PTG specificity. However, autofluorescence technique has shown high sensitivity and does not require exogenous contrast. In this study, a new optical system was designed and developed into a clinical system. The system enabled easier and faster focusing on the surgical area and high-resolution video imaging while maintaining a clear image. The system was located above the head of the surgeon. The surgeon was able to see the real-time autofluorescent image on the monitor next to the operating table at any time to locate the PTG. The PTG buried in the adipose tissue and connective tissue was located easily and accurately. The clinical trial conducted in this study consisted of 56 parathyroid cases in 26 patients. For the statistical results, the sensitivity and accuracy in this redesigned autofluorescent imaging system were 98.1% and 96.4%, respectively.

Real-time localization of the parathyroid gland in surgical field using Raspberry Pi during thyroidectomy: a preliminary report.

We created an auto-para viewer, an autofluorescence imaging device, to localize the parathyroid glands during thyroidectomy using an inexpensive Raspberry Pi. A special emission filter in the auto-para viewer was designed to pass 1/100 of visible light and nearly all infrared light longer than 808 nm. With this emission filter, we simultaneously acquired an autofluorescence image of the parathyroid and a visible light image of the surrounding surgical field. The auto-para viewer displayed four times brighter autofluorescence of the parathyroid glands compared to the background tissues without operating room light. Additionally, it showed two times brighter autofluorescence than the background tissues simultaneously showing the surgical field illuminated by the visible light from the operating room light. The NOIR camera, using the auto-para viewer, could reduce the camera's exposure time so the parathyroid glands to be viewed in real-time, which is expected to prevent unintentional damage to the parathyroid gland during thyroidectomy.

Near-Infrared Autofluorescence Image-Guided Parathyroid Gland Mapping in Thyroidectomy.

BACKGROUND: Studies to date have shown that near-infrared autofluorescence imaging (NIR) can detect the parathyroid gland during thyroidectomy. However, there are no reports that NIR imaging can identify the parathyroid gland when it's covered with fibrofatty tissue before identification by a surgeon's naked eye. In this study, we investigated the feasibility of parathyroid gland mapping to facilitate early identification of the parathyroid gland during thyroidectomy. STUDY DESIGN: Seventy parathyroid glands from 38 patients who underwent thyroidectomy for papillary thyroid cancer were included in this prospective study. Near-infrared with infrared illumination (NIR-IR) imaging using a 780-nm light-emitting diode was conducted at the predicted locations of the superior or inferior parathyroid glands. Parathyroid mapping was conducted in 3 stages. Stages P1, P2, and P3 were defined as imaging before identification of the gland by direct visualization, imaging after identification, and imaging in the removed specimen, respectively. RESULTS: Sixty-four parathyroid glands (92.8%) could be localized in stage P1 before surgical dissection and exposure of the gland. Five parathyroid glands that were not detected at stage P1 were identified in stages P2 (4 cases, 5.8%) and P3 (1 case, 1.4%). One parathyroid gland was not identified in either the NIR imaging or the pathologic examination. The sensitivity, specificity, and accuracy of parathyroid gland mapping in stages P1, P2, and P3 were all 100%. CONCLUSIONS: Parathyroid gland mapping using our NIR-IR imaging technique was feasible, with an excellent accuracy rate. This technique may be helpful for early identification of parathyroid glands during thyroidectomy.