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Advancements in Measuring Tumor Sizes Using 3D Scanners

3D scanning technology improves tumor measurement accuracy in cancer research.

― 6 min read


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Testing new cancer drugs is essential to ensure they work effectively before they are used in patients. One common method is to use special mice that have had human cancer cells implanted in them. These mice can help scientists see how well new drugs work in a living body.

Xenograft Models

A xenograft model is when human cancer cells are placed into mice that do not have a strong immune system. This allows the human cells to grow without being attacked by the mouse's immune system. Doctors can then inject drugs into these mice and observe how the Tumors react. The growth or shrinking of the tumor can be seen and measured from outside the mouse.

Measuring Tumor Size

When scientists want to measure the size of tumors in these mice, they often use something called calipers. Calipers are tools that help measure distances. After injecting a tumor cell line into mice and allowing it to grow, researchers can use calipers to measure the tumor's longest and shortest sides. This gives them an idea of the tumor's volume. However, tumors can be irregular in shape, making precise measurements difficult. The way each scientist measures can differ, leading to varying results.

Optical Measurement Techniques

In recent years, researchers have started to use light for measuring tumors. They use special tumors that glow when they are exposed to certain chemicals. By injecting these chemicals into the mice and using cameras to capture the light, scientists can also measure tumor size. However, this method has its challenges too. Tissues in the body block some light, making it hard to get accurate readings, especially when tumors become large.

Problems with Traditional Methods

Both calipers and optical methods have weaknesses. Calipers require careful handling and practice to ensure consistent measurements between different scientists. Optical methods require training to administer drugs correctly and may involve complicated procedures. Both methods can lead to inaccurate results due to human error.

Introducing 3D Scanners

To address these issues, researchers are looking into 3D scanning technology. A 3D scanner can quickly and accurately measure the size of a tumor without the complications of calipers or optical methods. It provides direct measurements without the need for human estimation, thereby reducing variability.

Study Overview

In a recent study, researchers used a handheld 3D scanner to measure tumors in mice with implanted human cancer cells. They compared this method to traditional caliper measurements and Optical Imaging techniques. The goal was to determine which method provided the most accurate and consistent results.

Method

The researchers injected special human stomach cancer cells into the sides of the mice. After allowing the tumors to grow, they used calipers and the 3D scanner to measure the size of the tumors. They also monitored the tumors using the optical imaging method. Different scientists made the measurements to see how consistent the results were.

Results

The researchers found a strong agreement between the 3D scanner and caliper measurements, showing that the scanner could accurately measure tumor sizes. However, when different scientists used calipers, the results were much more variable.

The 3D scanner showed even better consistency than the calipers across various operators. This indicated that the scanner could significantly reduce the differences in measurements that usually come from human error.

Tumor Volume Analysis

When comparing the results, the 3D scanner provided a clear advantage. While caliper measurements often varied significantly between operators, the scanner consistently provided similar results regardless of who was measuring. This higher reliability means that the 3D scanner can be a better tool for evaluating cancer treatments.

Tumor Regression Monitoring

In addition to measuring initial tumor sizes, the scanner was also used to monitor how tumors changed over time after treatment. As tumors shrank, the scanner detected these changes much more accurately than the calipers did. This ability to monitor tumor regression closely is crucial for evaluating the effectiveness of new cancer therapies.

Comparison of Measurement Methods

The researchers conducted further comparisons between the 3D scanner, calipers, and optical imaging to understand their strengths and weaknesses. They discovered that the scanner was not only more precise but also offered a more straightforward approach without the need for extensive operator training.

Advantages of Using 3D Scanners

3D scanners have several advantages over traditional methods:

  1. Accuracy: The scanner provides precise measurements without human error.
  2. Speed: Measurements can be taken quickly, reducing the time needed for assessments.
  3. Non-invasiveness: Scanning does not require any injected substances or complex procedures.
  4. Consistency: Results remain stable regardless of who operates the scanner.

These benefits make 3D scanners a promising tool for measuring tumor volumes, especially for evaluating the effectiveness of new cancer therapies.

Better Evaluation of Drug Efficacy

As the study progressed, the results showed that drugs targeting cancer cells could be more accurately assessed using the 3D scanner. When the researchers compared how well different treatments worked, the scanner provided data that better reflected the actual changes in tumor size. This ensured that any claims about a treatment’s effectiveness were based on solid evidence.

Future Directions

The team plans to continue researching the use of 3D scanning technology in cancer research. They believe that adopting this method in more studies can improve the quality and accuracy of data collected, leading to better outcomes for cancer treatments.

Conclusion

In summary, using a 3D scanner to measure tumor sizes offers numerous advantages, including accuracy, speed, and consistency. This method not only helps in assessing the effectiveness of new drugs but also reduces variability caused by different operators. By incorporating 3D scanning into cancer research practices, scientists can ultimately enhance the development of more effective treatments.

Implications for Pharmaceutical Companies

For pharmaceutical companies, maintaining high-quality data during drug development is crucial. The adoption of 3D scanning technology can streamline this process, ensuring that measurements are both accurate and reproducible. This technology could benefit companies in the chemistry, manufacturing, and control (CMC) sectors as they strive to meet stringent quality standards.

Closing Remarks

The results of this study highlight the significant potential of 3D scanning technology in medical research, particularly in the field of oncology. By moving away from traditional methods that have inherent variability, researchers can ensure that their findings are reliable, fostering advancements in cancer treatment strategies. The future of cancer drug development may well depend on the successful integration of such innovative technologies into routine practice.

Original Source

Title: Robust and accurate method for measuring tumor volume using optical 3D scanning for nonclinical in vivo efficacy study

Abstract: In a nonclinical in vivo efficacy test for anticancer drugs, immunodeficient mice subcutaneously transplanted with human cancer cells were quantified and evaluated with regard to the manner in which the skin bulges where locally proliferated cancer cells regress after drug administration. A caliper is conventionally used to measure the tumor bulge. However, its volume is an estimated value and results in high variability. Alternatively, cancer cell lines that express genetically encoded marker genes have been used in recent years for optical and nondestructive measurements. However, estimations using calipers exhibit large errors, and biological tissues have low light transparency. This hinders quantitative optical measurements. In addition, variations in measurements owing to subjective and human operations are likely. From the chemistry, manufacturing, and control (CMC) perspective, precise measurement is required to evaluate drug efficacy and quality. Therefore, we aimed to eliminate errors caused by the use of estimated values, subjectivity, and human manipulation by precisely quantifying the volume of the tumor bulge using a 3D scanner. This study demonstrated that optical 3D scanner measurements were accurate, had low variability, and was highly correlated with tumor weight. The tumor bulge was observed to vary to a flattened oval dome shape rather than a semicircle. This caused high variability in measurements of tumor volume. However, the proposed 3D scanner was more sensitive to volumetric regression than the caliper. Additionally, it exhibited drug efficacies with higher resolution than the caliper. Furthermore, the high linearity of the scanner provided more accurate measurements over a wider range of tumor sizes than luminescence imaging. The accurate and sensitive properties of such 3D scanners are also likely to make these exceptionally effective analytical tools for ensuring product equivalency when modifying raw materials or manufacturing processes in the development of cell therapy products. As described above, robust and accurate drug efficacy measurements using nondestructive and noninvasive 3D scanners that require no training and are convenient to operate provide many analytical improvements and advantages. This is likely to play an important role in 1) the efficacy evaluation of cell therapy products that have large variations originating from the raw materials and large differences between manufacturing lots and 2) the quality evaluation, property analysis of the characteristics of variations in the shape of tumor bulges over time, and comparability testing of the products in the CMC section of pharmaceutical companies.

Authors: Takuma Kobayashi, M. Katsumata, Y. Nakamura, Y. Terado, H. Araki, E. Maeda

Last Update: 2024-05-10 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.05.07.592924

Source PDF: https://www.biorxiv.org/content/10.1101/2024.05.07.592924.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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