Materials and methods
Sample preparation
This is a prospective study from February 2021 to March 2022. We randomly selected 10 patients (five normal and five with adenomyosis) who underwent surgery in the First Affiliated Hospital of Dalian Medical University. The adenomyosis patients were determined by preoperative ultrasound examination. After cutting off the uterus during the operation, we retain several pieces of tissue (in case of adenomyosis, parts of the adenomyosis lesion and the rest of normal muscle tissue will be retained) and place them in liquid nitrogen tanks for cold storage, in order to preserve the cell activity for the convenience of subsequent experiments. Patients with adenomyosis provided both adenomyotic and normal tissue samples while non-adenomyosis patients provided normal tissue samples. Finally, a total of 20 adenomyotic tissue samples and 20 normal samples (including five adenomyosis patients’ normal samples) were included in this study. Adenomyosis samples were from patients who underwent total hysterectomy due to adenomyosis, and normal in vitro samples of the control group were from normal uterine muscle tissues of patients who underwent total hysterectomy owing to non-malignant diseases (to prevent tumor tissues from affecting the results), such as hysteromyoma and uterine prolapse. All patients signed the informed consent form under the informed consent of the research process after surgery, allowing us to conduct experiments on their in vitro tissues. This experiment was certified by the ethics Association of the First Affiliated Hospital of Dalian Medical University (IRB number: PJ-KS-KY-2022-257).
After sample preparation, we took 40 fresh tissues (20 normal tissues and 20 adenomyosis tissues) about 1 × 1 cm in size from 10 uteruses (five normal tissues and five adenomyosis tissues), and made continuous frozen sections for each tissue. From each tissue, three 10 μm sections (slices) were cut. The three slices of the same tissue were numbered 1, 2, and 3. All “Slices 1” underwent H&E staining, and Slices 2 and 3 were directly observed under a non-linear optics microscope without any staining treatment.
H&E
Two experienced pathologists observed all H&E-stained slices to provide a diagnosis of either adenomyosis or normal tissue; their corresponding Slices 2 and 3 were imaged by CARS and Raman microscope, respectively.
Raman spectra
Raman spectra were obtained using a commercial Raman micro-spectrometer (Renishaw, InVia system) at 532 nm excitation wave number, which was focused onto the muscles using a 50× (NA = 0.75) objective for an integration time of 10 s. Cosmic ray was removed after acquiring each spectrum using the Renishaw WiRE 4.4 software. The experimental setup and its schematic illustration are shown in Figure 1.
FIGURE 1
Because the Raman microscope displays spectrum images of substances in a limited range, different substances display different Raman signals, so the carrier glass carrying tissue slices will inevitably display their own Raman signals. At this time, the glass is measured separately to display the Raman signal of the glass itself as a reference (red in Figure 2), so that the peak value of the glass and the characteristic peak value of adenomyosis can be distinguished.
FIGURE 2
We first identified the characteristic wave number range in the range of 500–3,000 cm–1. As shown in Figure 2, the characteristic wave number is about 1,200 and 1,500 cm–1, so we set the wave number range at 900–1,600 cm–1 to facilitate the experiment.
Anti-stokes Raman scattering and second-harmonic generation
Figure 3 shows a schematic of the CARS system for non-linear optical imaging. Briefly, a mode-locked 80 fs Ti:sapphire laser (MaiTai, Spectra Physics, Santa Clara, USA) is tuned to 800 nm with pulse width at an 80 MHz repetition rate and divided into two parts by a polarization beam splitter. One beam works as the pump beam; the other beam is used to pump a photonic crystal fiber to produce the Stokes beam for CARS imaging. Two beams are combined at the dichroic mirror. The combined beams are sent into a multiphoton scanning microscope (Olympus, FV1200) and focused on the sample by an objective (10×, NA 0.4; UplanApo, Olympus, Tokyo, Japan). The average power of 75 mW is used for the pump and the probe beam. The CARS and SHG signals pass through a bandpass filter, respectively, before being detected by the PMT.
FIGURE 3
Discussion
In this report, we used Raman, DIC, CARS, and SHG microscopes to directly image tissue sections without staining, and took HE staining images at the same location for comparison.
CARS microscopy, probing vibrations of molecular bonds for image contrast, and the high vibrational Raman cross sections of many hydrogen carbon bonds make the technique suitable for imaging polymers (). CARS microscopy derives its contrast from intrinsic molecular vibrations in a sample; the CH group of membrane and cortical cytoskeleton proteins are the basis of CARS imaging (). In the absence of staining (Figure 4C), CARS can clearly show the outline of the ectopic uterine gland and its boundary with surrounding tissue structure compare with Figure 4A, which has been stained with H&E. SHG visualizes highly ordered tissue structures, which are non-centrosymmetric like type I collagen fibers (). As shown in Figure 4D, there is obvious fibro-collagen proliferation around the uterine gland, which is caused by bleeding of adenomyosis ().
According to previous experiments, the characteristic curve of cervical cancer is concentrated at 720, 785, 1,095, 1,258, and 1,579 cm–1 (–). This is different from the representative peaks of adenomyosis (1,155 and 1,519 cm–1) found in our study. Most studies regarding Raman microscopy in adenomyosis focus on the serological aspects of patients (). During our literature search, only one such direct histological study was found. In this article (), Wang et al. identified a peak different from that of normal tissue at 1,173 cm–1 in adenomyosis, believing the peak is induced by delta (C—O) shifts. Our initial peak was found to be 1,155 cm–1. Considering Wang and co-authors used a light source of 785 nm compared to our own source at 532 nm, we consider that this finding is broadly consistent. However, our finding of the additional peak at 1,519 cm–1 in adenomyosis samples represents a novel finding. To understand our novel finding, we reviewed the existing literature to identify biological macromolecules and concurrent Raman wave numbers (Table 1). First, after an extensive literature search and integration, we created a corresponding table between Raman wave numbers and biological macromolecules (, , –). From Table 1, we can see that most representative substances with similar wave numbers are the same (however, there may be errors caused by different measurements). The corresponding substance of 1,516 cm–1 is amide II, considering some errors caused by different experimental conditions (temperature, tissue freshness, etc.) and instrument measurements, so our first hypothesis about the characteristic peak at 1,519 cm–1 was amide II. Of particular interest to our findings, two prior lung cancer studies using Raman microscopy found characteristic carotenoid Raman peaks at 1,152 and 1,518 cm–1 with the Raman peaks in lung cancer patients lower than those in normal subjects. The authors suggested these findings reflected C–C and conjugated C=C bond stretch (, ). In our study, characteristic peaks were found at 1,155 and 1,519 cm–1 in adenomyosis tissue, which is very similar to the characteristic peaks of carotenoids at 1,152 and 1,518 cm–1 in the previous two studies. Carotenoids represent the main source of Vitamin A in the body and provide anti-oxidation, immune regulation, anti-cancer, and anti-aging effects. Our findings representing similar peaks may support a possible relationship between carotenoids and adenomyosis; however, this remains speculative and requires additional investigation.
TABLE 1
| Assignment | Raman shift (cm–1) |
| DNA | 481, 784, 788, 826 |
| DNA/RNA | 1,231, 1,320 |
| Saccharides | 1,370 |
| Monosaccharide | 898 |
| Disaccharide | 898 |
| Polysaccharide | 477 |
| Glycogen | 933, 1,003, 1,025, 1,150 |
| Amylaceum | 540 |
| Collagens | 859, 1,032, 1,303, 1,309, 1,325, 1,332, 1,339, 1,445 |
| Phosphatidylinositol | 415, 519, 576 |
| Phospholipid | 1,085, 1,032, 1,078, 1,445, 1,745 |
| Cholesterol | 548 |
| Cholesteryl ester | 538, 614 |
| Lipid | 877, 968, 1,125, 1,057, 1,060, 1,095, 1,124, 1,275, 1,309, 1,369, 1,437, 1,447, 1,450, 1,452 |
| Glycerol | 630 |
| Nuclein | 1,299, 1,340, 1,578 |
| Tyrosine | 640, 642, 643, 821, 823, 830, 835, 849, 853, 855, 859, 1,170, 1,616 |
| Methionine | 695 |
| Aspartate | 1,700 |
| Glutamate | 1,700 |
| Tryptophan | 745, 752, 758, 880, 1,208, 1,365, 1,374, 1,376, 1,552, 1,560, 1,561, 1,616, 1,618, 1,618 |
| Proline | 814, 821, 853, 855, 880, 918, 928, 933, 935, 936, 1,043, 1,066, 1,447 |
| Hydroxyproline | 821, 853, 876, 1,588 |
| Valine | 928, 933, 935, 936, 1,066 |
| Phenylalanine | 1,000, 1,002, 1,003, 1,004, 1,030, 1,104, 1,582, 1,583, 1,588, 1,602 |
| Cysteine | 495–516 |
| Protein | 933, 951, 1,158, 1,369 |
| Phosphorylated protein | 968, 970 |
| Pyrimidine ring | 766 |
| Uracil | 780, 784 |
| Cytosine | 784, 1,175, 1,290, 1,506 |
| Thymine | 784 |
| Guanine | 1,175, 1,369 |
| Adenine | 721, 1,335 |
| Porphyrin | 1,369 |
| C-C skeleton | 928, 938, 1,130, 1,561 |
| C-C stretching (collagen) | 817 |
| C-C stretching (phenylalanine) | 1,339 |
| C-H stretching (protein) | 1,295 |
| C-N stretching (protein) | 1,053, 1,128 |
| C-O stretching (protein) | 1,053 |
| C-O stretching (lipid) | 1,723, 1,738, 1,792 |
| Ribose vibration | 867, 915 |
| Antisymmetric vibration of phosphoric acid | 1,185–300 |
| Antisymmetric phosphate stretching vibration | 1,230 |
| Amide I | 1,600, 1,601, 1,624, 1,637, 1,640, 1,645, 1,654, 1,655, 1,658, 1,660, 1,664, 1,670, 1,685, 1,697 |
| Amide II | 1,516, 1,570 |
| Amide III | 1,234, 1,236, 1,243, 1,246, 1,255, 1,275, 1,285, 1,302 |
| β-Carotenoids | 1,152, 1,518, 1,520 |
Wave number of biomacromolecules.
The outstanding advantages of Raman spectroscopy lie in its label-free nature and timeliness, which reduce the waiting time of intraoperative pathology and the burden upon pathologists at the surgery. Currently, Hand-Held Raman technology has been successfully applied to detect air components and diagnose plant diseases (–). There are also a large number of intraoperative boundary studies of brain tumors in medicine (). Currently, there is no research regarding Hand-Held Raman technology on disease or surgery in obstetrics and gynecology. Our results suggest a possible further role for Hand-Held Raman microscopy in assisting the intraoperative diagnosis of adenomyosis and the localization of lesion boundaries to improve potential surgical outcomes in patients. Similarly, handheld SHG technology are also areas that have not been studied and discussed. The results of this study also found the potential utility in determining the location of adenomyosis lesions. SHG also confirmed the proliferation of fibro-collagen caused by bleeding around adenomyosis lesions. The application of these two microscopes in surgery will further help to determine and diagnose the location of adenomyosis lesions.