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Proceeding Paper

Use of Gas Sensors and FOBT for the Early Detection of Colorectal Cancer †

1
University of Ferrara, Department of Physics and Earth Sciences, Via Savonarola, 9-44121 Ferrara, Italy
2
UO Igiene Pubblica, Department of Public Health (AUSL), Via Fausto Beretta, 7-44121 Ferrara, Italy
3
SCENT S.r.l., Via Quadrifoglio, 11-44124 Ferrara, Italy
4
MIST E-R S.c.r.l., Via P. Gobetti 101, 40129 Bologna, Italy
*
Author to whom correspondence should be addressed.
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
Proceedings 2017, 1(4), 398; https://doi.org/10.3390/proceedings1040398
Published: 31 August 2017
(This article belongs to the Proceedings of Proceedings of Eurosensors 2017, Paris, France, 3–6 September 2017)

Abstract

:
Among the major challenges of medicine today there are screening and early detection of tumors (since the adenoma stage) in order to prevent their degeneration into malignant cancer and/or metastases. In particular, the colorectal cancer shows a high curability rate, up to 90%, if identified when in its benign stage. The Protocol discussed here is proposed to implement the clinical validation of a device consisting of an array of chemoresistive gas sensors made of semiconductor materials, able of identifying the difference between fecal exhalation of healthy subjects and of subjects suffering from high-risk colorectal polyps or tumors. The tests are compared to the results of fecal occult blood test and colonoscopy as a gold standard.

1. Introduction

In the present work, the purpose is to discriminate healthy subjects from subjects affected by colorectal cancer (CRC) since the stage of advanced adenoma, by means of a non-invasive method. Currently, the test accepted in Italy and other countries (e.g., UK, France) is the fecal occult blood test (FOBT), performed on people between 50 and 69 years of age. Despite being a valid tool for detecting blood presence in the stool, FOBT shows a huge number of false positives [1,2]. Therefore, the importance of an additional screening system lies in the decrease of false positive rate, to reduce the number of non-operative colonoscopies, risky for elderly and debilitated patients. Previous works by our team have shown that chemoresistive sensors are capable of detecting tumor biomarkers in very low concentrations (tenths of ppb) [3,4]. The technique presented here employs a patented device [5] named SCENT A1, made of a core of five chemoresistive sensors. SCENT A1 can identify cancer by the odor of fecal exhalations. The difference between fecal samples of healthy subjects and of CRC-affected patients is due to two main processes: (i) the peroxidation of tissues affected by cancerous and precancerous lesions; (ii) the alteration of the metabolic activity of cells. Here are shown both the data coming from a feasibility study to set-up the sensor array and the data obtained by a clinical validation Protocol, started in May 2015 and still on-going.

2. Materials and Methods

SCENT A1 is equipped with a pneumatic system that allows sending an environmental airflow, contaminated by fecal fumes, to the sensing unit. The sensors vary their resistance in contact with the gas and can distinguish different mixtures. Each sensor is composed of a film of nanostructured semiconductor material [6,7].

2.1. Feasibility Study

The feasibility study has been performed in order to find the best five-sensor combination, in collaboration with the Department of Morphology, Surgery and Experimental Medicine of the University of Ferrara (UNIFE). The first data analysis method chosen is the principal component analysis (PCA), through which it is possible to visualize each sample tested as a point in a Cartesian graph and to identify two different ellipsoidal regions for healthy and CRC-affected individuals. The smaller the overlap between the two areas and the greater the precision of the test. The chosen combination of sensors has been calibrated, after testing 19 different materials (both metal-oxides and -sulfides), so as to maximize the difference between the two sample types (feces of healthy subjects and subjects with CRC, taken during surgery), thanks to an activity previously carried out in the laboratory on 170 samples [8,9]. The PCA related to one of the most discriminating arrays is shown in Figure 1. The green dots represent 18 control samples while the blue ones are 10 samples from subjects with CRC. The areas identify the two populations and the overlap is minimal. This is indicative of a high degree of distinction. The ROC curve, in Figure 2, was calculated by considering all the sample tested with all the sensor arrays tried. The curve shows both a sensitivity and a specificity of 95% and also the accuracy of the test has been estimated as 95%. The materials chosen after this study were both single metal-oxides and mixtures of them (i.e., indium, tin, titanium and vanadium oxide), fired at a temperature of 650 °C.

2.2. Clinical Validation

Since May 2016, following the approval by the Ethics Committee, it has been started a Protocol for the clinical validation of the device. To all of screening users in Ferrara, who resulted positive to FOBT, is proposed to participate in the experimental study SCENT A1 before undergoing colonoscopy investigation (chosen as the gold standard). Over 90% of patients have adhered to the study. Colonoscopy results are fundamental to obtain a sufficient statistic to calibrate the device and to set a priori the accuracy of the method. In addition to SCENT A1 tests, a volunteer physician, engaged in the interview with the patients, developed an assessment based on questions submitted to the subjects. These questions concern familiarity, symptoms and other inflammatory diseases suffered from patients. A comparison between evaluations obtained through this medical consultation and colonoscopy outcomes may provide added value to the fundamental importance of a screening test. The sensitivity and specificity of an expert eye are respectively of 11% and 96%, evaluated on a sample of 131 subjects, of which we had both the doctor’s overthrow and the colonoscopy outcome. If only the average/high risk adenomas and cancers are considered as positives the sensitivity results null. This qualitative data gives an idea of the crucial importance of a preventive screening for CRC to avoid a so large number false negatives. So far, the sensor responses of a total of 234 fecal samples have been measured with SCENT A1 during the Protocol. The precision of FOBT test estimated from the data that have already a colonoscopy result (174) is only of 28%. This means that the number of false positives is very high and this involves a large number of non-operative colonoscopies, submitting healthy patients to an unnecessary risk of intestinal perforation. The addition of a complementary test, i.e., SCENT A1, that relies on a gaseous marker totally different from occult blood, should be fundamental to reduce false positive rate.

3. Results and Discussion

Since now, 86 of the samples measured with SCENT A1 have been compared with the gold standard. They have been analyzed by means of PCA and Support Vector Machine (SVM) techniques, dividing the three class of subjects:
  • cancer and high-risk adenomas (CRC+HR);
  • low-risk adenomas (LR);
  • healthy subjects (HS).
Results analysis are summarized in Table 1. It appears evident from these data, that all the CRC+HR are correctly identified so as the largest part of HS (97%) and LR (90%). The error on LR is not so problematic, in fact, for low risk adenomas, the risk for degeneration is negligible. For this reason, classifying subjects with low risk adenomas as healthy and re-screening them after two years, it could be a way of reducing colonoscopies to the benefit of the patients’ health.
The clinical validation will continue for two years.
In Table 2, it is reported a comparison of the data obtained so far from the present study. These data will be progressively updated during the continuation of the tests. From September 2017, the Protocol will be extended to the Delta Hospital in Lagosanto (Italy), with the aim of increasing the statistics on true positives.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Elsafi, S.H.; Alqahtani, N.I.; Zakary, N.Y.; Al Zahrani, E.M. The sensitivity, specificity, predictive values, and likelihood ratios of fecal occult blood test for the detection of colorectal cancer in hospital settings. Clin. Exp. Gastroenterol. 2015, 8, 279–284. [Google Scholar] [CrossRef] [PubMed]
  2. Shin, A.; Son Choi, K.; Kwan Jun, J.; Keun Noh, D.; Suh, M.; Jung, K.W.; Chang Kim, B.; Hwan Oh, J.; Park, E.C. Validity of Fecal Occult Blood Test in the National Cancer Screening Program, Korea. PLoS ONE 2013, 8, e79292. [Google Scholar]
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  7. Gaiardo, A.; Fabbri, B.; Giberti, A.; Guidi, V.; Bellutti, P.; Malagù, C.; Valt, M.; Pepponi, G.; Gherardi, S.; Zonta, G.; Martucci, A.; Sturaro, M.; Landini, N.
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  9. Landini, N.; Zonta, G.; Malagù, C. Detection of Tumor Markers on Feces with Nanostructured Sensors; Scholars’ Press: Saarbrucken, Germany, 2015; ISBN 13:978-3-639-76538-0. [Google Scholar]
  10. Zonta, G.; Anania, G.; Fabbri, B.; Gaiardo, A.; Gherardi, S.; Giberti, A.; Landini, N.; Malagù, C.; Scagliarini, L.; Guidi, V. Preventive screening of colorectal cancer with a device based on chemoresistive sensors. Sens. Actuators B 2016, 238, 1098–1110. [Google Scholar] [CrossRef]
Figure 1. PCA related to the chosen array. Here are shown 18 control samples (green dots) and 10 samples from subjects with CCR (blue dots). The areas represent the two populations.
Figure 1. PCA related to the chosen array. Here are shown 18 control samples (green dots) and 10 samples from subjects with CCR (blue dots). The areas represent the two populations.
Proceedings 01 00398 g001
Figure 2. Confusion matrix (on the left) and ROC curve (on the right) made with 157 samples with different five-sensor combinations of 19 materials. True Positive Rate (TPR) = sensitivity = 95%, True Negative Rate (TNR) = specificity = 95%.
Figure 2. Confusion matrix (on the left) and ROC curve (on the right) made with 157 samples with different five-sensor combinations of 19 materials. True Positive Rate (TPR) = sensitivity = 95%, True Negative Rate (TNR) = specificity = 95%.
Proceedings 01 00398 g002
Table 1. Results obtained by analyzing a part of the responses of the samples measured within the Protocol that compares FOBT with SCENT A1 test and colonoscopy results. This data have been extrapolated by PCA treatment and SVM.
Table 1. Results obtained by analyzing a part of the responses of the samples measured within the Protocol that compares FOBT with SCENT A1 test and colonoscopy results. This data have been extrapolated by PCA treatment and SVM.
Predicted
HSLRCRC + HR
ActualHS5811
LR2180
CRC + HR006
Table 2. Comparison of FOBT with the SCENT A1 data of feasibility study and patients’ health evaluation during the interview. Samples are all from patients resulted positive to FOBT, so it is possible to estimate only the precision for this test. Data coming from the clinical validation of SCENT A1 are not shown due to the fact that they are split in three categories.
Table 2. Comparison of FOBT with the SCENT A1 data of feasibility study and patients’ health evaluation during the interview. Samples are all from patients resulted positive to FOBT, so it is possible to estimate only the precision for this test. Data coming from the clinical validation of SCENT A1 are not shown due to the fact that they are split in three categories.
FOBTSCENT A1Interview
Sensitivity (TPR)-95%11%
Specificity (TNR)-95%96%
Accuracy-95%72%
Precision28%95%44%
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MDPI and ACS Style

Zonta, G.; Anania, G.; Togni, A.d.; Gaiardo, A.; Gherardi, S.; Giberti, A.; Guidi, V.; Landini, N.; Palmonari, C.; Ricci, L.; et al. Use of Gas Sensors and FOBT for the Early Detection of Colorectal Cancer. Proceedings 2017, 1, 398. https://doi.org/10.3390/proceedings1040398

AMA Style

Zonta G, Anania G, Togni Ad, Gaiardo A, Gherardi S, Giberti A, Guidi V, Landini N, Palmonari C, Ricci L, et al. Use of Gas Sensors and FOBT for the Early Detection of Colorectal Cancer. Proceedings. 2017; 1(4):398. https://doi.org/10.3390/proceedings1040398

Chicago/Turabian Style

Zonta, Giulia, Gabriele Anania, Aldo de Togni, Andrea Gaiardo, Sandro Gherardi, Alessio Giberti, Vincenzo Guidi, Nicolò Landini, Caterina Palmonari, Luciano Ricci, and et al. 2017. "Use of Gas Sensors and FOBT for the Early Detection of Colorectal Cancer" Proceedings 1, no. 4: 398. https://doi.org/10.3390/proceedings1040398

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