The application of conventional us and transthoracic ultrasound elastography in evaluating peripheral pulmonary lesions
- Authors:
- Published online on: June 21, 2018 https://doi.org/10.3892/etm.2018.6335
- Pages: 1203-1208
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Copyright: © Wei et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
In recent years, lung cancer has become one of the most common malignant tumors threatening human health (1), and its incidence rate has been on the rise (2,3). Therefore, it is imperative to know how to accurately distinguish malignant lung lesions (MLLs) from benign lung lesions (BLLs).
Young women, pregnant women, and critically ill patients cannot tolerate chest X-rays and computed tomography (CT) because of radiation, although they are first-line imaging modalities for assessing the morphological features of pulmonary lesions (PLs) (4–6). When a PLL is present and space-occupied, the acoustic windows of the lung tissue are available, which makes the ultrasonic wave pass. Hence, after selecting the appropriate detection angles for PLLs below the pleura, optimal images can be obtained during transthoracic ultrasound (TUS) examination (7,8). The advantages of US compared to X-ray or CT are its easy operation, lower cost, and lack of exposure to radiation. In addition, US-guided biopsy is as accurate as CT-guided biopsy for the diagnosis of PLLs or pleural lesions. Real-time guidance can be performed using US, making the procedure faster and free of ionizing radiation (9).
In recent years, US elastography has been widely applied to the differential diagnosis of thyroid, breast, liver, and prostate lesions (10–13). It can reflect the intrinsic features of the lesions. The tissue stiffness of malignant lesions is usually harder than those that are benign (14,15). US elastography is mainly categorized as strain elastography (SE) and shear wave elastography (SWE), in which the information about the tissue stiffness can be obtained by pressure or shear force that deforms the tissue directly or indirectly (16). The tissue stiffness obtained by manual compression can be affected by different operators, leading to inter-observer differences. However, acoustic radiation force impulse (ARFI) elastography that includes an ARFI imaging mode and a point share wave elastography (p-SWE) mode can conduct qualitative or quantitative measurement objectively by assessing the elastogram in grayscale or the shear wave velocity (SWV) value of the lesions (17).
Sperandeo et al (18) reported that lung SE enables good non-invasive imaging of PLs, as it provides information on their stiffness and improves the accuracy and yield of fine needle aspiration biopsy (FNAB). But there are few reports about the usefulness of ARFI elastography in diagnosing PLLs. As such, this study purported to assess the value of TUS elastography in distinguishing malignant from benign PLLs.
Materials and methods
Study population
This retrospective study was approved by the Ethics Committee of this tertiary hospital (the Second Affiliated Hospital of Harbin Medical University, Harbin, China) and the written informed consent of patients was obtained. From January 2013 to January 2015, 201 consecutive patients with PLLs found by chest X-ray or CT examination were enrolled in this institution (the Second Affiliated Hospital of Harbin Medical University). The exclusion criteria were as follows: i) Trouble breathing (n=20); ii) the lesions were covered by bone tissue (n=15); iii) no pathological result (n=42); and iv) accompanied with pleural effusion (n=33). If there were multiple lesions, the largest was incorporated into the study. Finally, conventional US and elastography examinations (including SE and ARFI elastography) were performed on the remaining 91 patients. The final pathological results were obtained by surgery or biopsy.
Conventional US, SE, ARFIimaging, and p-SWE
Conventional US and US elastography examinations were performed by a radiologist with at least 10 years of experience (H.W.) in ultrasonic examination with the US machine (Siemens Acuson S2000; Siemens Medical Solutions, Eschborn, Germany) and the 4C1 convex vibration probe (frequency range, 1.5–4.0 MHz). The focus and gain of images were adjusted to obtain optimal images. The probe was held perpendicularly to the skin surface on the intercostal space and parallel to the ribs throughout the examinational process. Using a 2-dimensional US, the PL was assessed for its size, position within the lobe, shape, margin, internal echogenicity, echotexture, and presence of air bronchogram. Then the color Doppler US mode was applied and the gain was adjusted to the optimal level so background color signals did not display any noise throughout the process. Afterwards, SE was applied with mild manual compression. The region of interest (ROI) box was aimed at the whole lesion and some peripheral normal tissues. The radiologist kept the probe motionless for 5 sec to obtain optimal elastic images. The US image was on the left side of the screen while the SE image was on the right side and color-coded. ARFI imaging was performed after SE. The ROI box was placed in the same position as SE. The ARFI image was on the right side of the screen and gray-coded. After that, the p-SWE mode was initiated. A 6×5 mm ROI box was placed at the solid portion without air covering the lesion. The SWV value was displayed on the right side of the screen. Seven consecutive measurements were performed at the same depth of each lesion. Finally, the average value was obtained after removing the maximum and minimum values.
US-guided core needle biopsy
Before US-guided core needle biopsy (US-CNB), all patients signed the informed consent forms. The procedure was performed by 2 experienced radiologists (Q.J. and H.W.) using a US machine (Philips iU22; Philips Ultrasound, Inc., Reedsville, PA, USA), a Bard automatic biopsy gun, and a biopsy needle (16 G; Bard Peripheral Vascular, Inc., Tempe, AZ, USA). Tissue samples were taken under the guidance of US. Biopsy was repeated 3–4 times according to the specimen quality. Afterward, pathological diagnosis was performed by 1 pathologist with 20 years' work experience who was blinded to previous US findings.
Image interpretation
The images were interpreted by 2 investigators (H.W. and Y.L.) who were blinded to the pathological results. The size of the lesions was defined by the longest diameter measured on US, with <5 cm and ≥5 cm. The shape of the lesions was defined as having regular contours (triangular or rounded) and irregular contours (non-triangular or non-rounded). The margin was defined as smooth (at least 50% of the lesion was visible) and rough (at least 50% of the lesion was invisible). The internal echogenicity of the lesions was defined as homogeneous hyperechoic/isoechoic/hypoechoic/anechoic or heterogeneous hyperechoic/isoechoic/hypoechoic/anechoic. The lesions were grouped as with or without air bronchogram (punctiform or linear hyperechoic artifacts within the lesions) (19). The vascularity of the lesions was classified into abundant (≥2 blood vessel signals) and non-abundant (<2 blood vessel signals). As current international recommendations do not yet provide a specific way to classify the stiffness of PLL, we customized the classifications. SE imaging was described by the color scale of the ROI, with red, green, and blue delineating from soft to hard, and SE was classified into 4 grades. ARFI imaging was classified into 4 grades from soft to hard according to the grayscale (Table I).
 | Table I.Scoring systems for strain elastography imaging and acoustic radiation force impulse imaging in the peripheral pulmonary lesions. |
Hematoxylin and eosin (H&E) staining
Lung tissues were fixed in formalin, cleared in xylene (both from Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) and embedded in paraffin. The paraffin-embedded lung tissue samples were examined by conventional light microscopic examination: 5 µm sections were stained with H&E, and assessed in a blinded manner. An automatic microscope (Provis AX-70) with a camera (Olympus Corporation, Tokyo, Japan) was used to capture the microscopic images of the lung samples. The morphometric analysis was performed using ImageJ software version 1.60 (National Institutes of Health, Bethesda, MD, USA).
Statistical analysis
All statistical analyses were carried out using SAS 9.13 statistical software (SAS Institute Inc., Shanghai, China). The geometric mean and standard deviation were used to describe measurement data and compared between groups using Student's t-test. Frequency and percentage were used to describe counting data and compared between groups using the Chi-square test or Fisher's exact test. A receiver operating characteristic (ROC) curve was created to analyze the accuracy of each variable. P<0.05 was considered statistically significant.
Results
This study involved 50 males and 41 females, with an average age of 55.11±11.11 years (range, 24–86 years). The mean diameters of the BLLs and MLLs were 58.17±20.18 and 72.05±24.27 mm, respectively (range, 20.1–141.4 mm). The pathological results were confirmed by US-CNB procedures in 80 patients and by surgery in 11 patients. There were 36 benign lesions (32 chronic inflammatory lesions, 4 tuberculosis) and 55 malignant lesions (33 adenocarcinomas, 21 squamous cell carcinomas (Fig. 1), and 1 small cell lung cancer). Female sex (P=0.009) and older age (P=0.002) were predictive of malignancy. The location of the lesions and smoking history were not relevant factors in this study (P>0.05; Table II).
Conventional US features
On conventional US, characteristics such as a lesion diameter ≥5 cm, irregular contours, presence of air bronchogram, and non-abundant vascularity showed significant differences between benign and malignant lesions (P<0.05; Table III). In addition, using 5 cm as a cut-off value for the lesion diameter led to a sensitivity of 87.3% and a specificity of 38.9%. The margin and echogenicity of lesions presented no significant differences (P>0.05).
US elastography features
For elastography features (Table IV), no significant difference was found in SE between BLLs and MLLs (P=0.542). But significant differences were found in ARFI imaging and p-SWE between BLLs and MLLs (P<0.05). On ARFI imaging scores, the lesions with 1–2 and 3–4 were classified as benign and malignant, respectively, and corresponding sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 83.6% (46/55), 52.8% (19/36), 73.0% (46/63), and 67.9% (19/28), respectively. Using this classification method, 9 false negative lesions and 17 false positive lesions were found. The SWV values of the MLLs were higher than those of the BLLs (2.47±0.92 vs. 1.85±0.92 m/sec; P=0.0022). According to the ROC curve, the area under the curve (AUC) of p-SWE was 0.709. With a cut-off value of 1.951 m/sec, the sensitivity and the specificity for diagnosis of malignancy were 70.9% (39/55) and 69.4% (25/36), respectively, with a PPV of 78.0% (39/50) and an NPV of 61.0% (25/41) attached.
Discussion
US is not a familiar tool for thoracic radiologists due to its infrequent use. However, it still offers several advantages to both the radiologists and patients. Some studies have showed that US guidance is as accurate as CT guidance in obtaining adequate samples from PLLs (19,20). This initial study demonstrated that the diagnostic information of PLLs may be provided by ARFI elastography in addition to radioactive techniques or invasive procedures, while SE was not significant for diagnosis.
Conventional US was capable of detecting lung lesions only when they were located in the peripheral regions of the organ. As there was no typical neoplastic pattern on US, needle biopsy of these lesions was mandatory (21). Sheth et al (22) reported that small PLs appeared hypoechoic and larger PLs were more heterogeneous. However, some studies (23,24) showed that wedge shape, isoechoic or hypoechoic, and air bronchograms might appear on peripheral pulmonary consolidations. In our study, we found that a lesion diameter greater than or equal to 5 cm, irregular contour, presence of air bronchogram, and non-abundant vascularity were predictive factors of malignant PLLs, whereas the margin and echogenicity of lesions were not. An explanation may be that overlapping US characteristics between malignant and benign lesions existed due to the various types of PLL pathologies. In addition, the sensitivity and specificity of US characteristics varied considerably, 30.9–87.3% and 16.7–55.6%, respectively, and the results were not satisfactory. Therefore, additional methods should be adopted to diagnose PLLs.
SE was introduced to assess the tissue stiffness by hand or using cardiovascular pulsation or respiratory motion to achieve compression. However, some studies revealed that it was difficult for radiologists to control the pressure using manual compression in SE examination, thus leading to considerably low reproducibility (25,26). In our study, we also found the same problem due to the limitation of cardiovascular pulsation or respiratory motion, which made the compression inconsistent. Furthermore, no significant differences on SE were found between BLLs and MLLs. In the study by Sperandeo et al (21), which performed TUS elastography on 95 patients with PLs, only squamous cell lung carcinoma displayed increased stiffness. In their study, TUS elastography was limited in characterizing lesions, which was similar to our result. Additionally, 1 lesion with a score of 2 proved to be adenocarcinoma; a possible pathological explanation might be that the cells contained many acini and had intracellular mucus.
To the best of our knowledge, this research was the first preliminary study to detect the diagnostic performance of ARFI imaging and p-SWE in PLLs. ARFI elastography was more effective in diagnosing PLLs, with the advantages of free-hand compression and semiquantitative or quantitative measurements. In our study, the ARFI score of the malignant PLLs was higher than that of the benign ones (P=0.011), indicating higher stiffness. When score 3 was applied as cut-off value, the corresponding sensitivity was 83.6% (46/55), which was higher than chest radiography (73.5%) (27). Thus, a malignant lesion may be suggested before surgery on the condition that it obtained a score of 3 or more on ARFI imaging. Under such circumstances, we found that tuberculosis (a total of 4 cases) had a score of 3 and 1 chronic inflammation had a score of 4 on ARFI imaging. This phenomenon might be explained by the formation of lung fibrous band structures in tuberculosis and the proliferation of fibrosis in chronic inflammation, which might increase the tissue stiffness (Fig. 2). However, our study was limited by a small sample size; there is a need for a separate study with more tuberculosis and chronic pneumonia patients for further analysis.
Compared to SE, p-SWE was applied to evaluate the tissue stiffness by generating shear wave, with the advantages of a smaller subjective influence of the operator, independent elastic image quality, and quantitative measurement. In our study, the mean SWV values of the malignant lesions were higher than those of the benign lesions (2.47±0.92 vs. 1.85±0.92 m/sec; P=0.002). With a cut-off value of 1.951 m/sec, the sensitivity, specificity, PPV, and NPV for diagnosing MLLs were 70.91, 69.44, 78.00, and 60.98%, respectively. It was observed that p-SWE was more effective than SE in distinguishing malignant from benign lesions. Although the sensitivity of p-SWE was not as good as low-dose CT, their specificity was similar (73.4%). Furthermore, the specificity of p-SWE was not as good as that of chest radiography, but the sensitivity was similar (27). s P-SWE has provided a new method for evaluating the hardness of PLLs. However, false positives and false negatives also existed in p-SWE examination. Among the benign lesions, 1 chronic inflammatory lesion had a mean SWV of 4.344 m/sec, which may indicate the existence of fibrosis in the lesion. In addition, 1 small cell lung cancer had a mean SWV of 1.202 m/sec and an ARFI imaging score of 2, which might be explained by the complex heterogeneity of tumor cells (28).
There were some limitations in this study. First, the selection bias was unavoidable due to its retrospective nature. Second, the inter-observer and intra-observer agreements were not analyzed, although some studies have shown that ARFI elastography has good reproducibility in multiple organs of the body (29,30). Third, considering the small sample size of our study, prospective research on a large sample is necessary.
In conclusion, our study indicated that US, especially ultrasound elastography, is able to provide doctors with identification methods of PLLs.
Acknowledgements
Not applicable.
Funding
The present study was funded by the Scientific Research of Heilongjiang Province Health and Family Planning Commission (grant no. 2014-334).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
HW was a major contributor in performing the experiments and writing the manuscript. YL collated and analyzed the ultrasonic images. QJ conducted the data analysis, and HZ analyzed the pathological results. XZ led this study, performed the pathological biopsies of the lungs and gave final approval of the version to be published. All authors read and approved the final manuscript.
Ethics approval and consent to participate
This retrospective study was approved by the Ethics Committee of this tertiary hospital (the Second Affiliated Hospital of Harbin Medical University, Harbin, China) and the written informed consent of patients was obtained.
Patient consent for publication
Informed consent was obtained from all individual participants included in this study.
Competing interests
The authors declare that they have no competing interests.
References
|
Goozner M: A tale of two countries: Lung cancer care in Brazil and China. J Natl Cancer Inst. 104:1621–1623. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Kim CH, Lee YC, Hung RJ, McNallan SR, Cote ML, Lim WY, Chang SC, Kim JH, Ugolini D, Chen Y, et al: Exposure to secondhand tobacco smoke and lung cancer by histological type: A pooled analysis of the International Lung Cancer Consortium (ILCCO). Int J Cancer. 135:1918–1930. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Chen W, Liu Y, Wang H, Hnizdo E, Sun Y, Su L, Zhang X, Weng S, Bochmann F, Hearl FJ, et al: Long-term exposure to silica dust and risk of total and cause-specific mortality in Chinese workers: A cohort study. PLoS Med. 9:e10012062012. View Article : Google Scholar : PubMed/NCBI | |
|
Strauss GM, Gleason RE and Sugarbaker DJ: Chest X-ray screening improves outcome in lung cancer. A reappraisal of randomized trials on lung cancer screening. Chest. 107 6 Suppl:270S–279S. 1995. View Article : Google Scholar : PubMed/NCBI | |
|
Yankelevitz DF: Point: Should lung cancer screening by chest CT scan be a covered benefit? Yes. Chest. 147:287–289. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Field JK, Devaraj A, Duffy SW and Baldwin DR: CT screening for lung cancer: Is the evidence strong enough? Lung Cancer. 91:29–35. 2016. View Article : Google Scholar : PubMed/NCBI | |
|
Adamietz BR, Fasching PA, Jud S, Schulz-Wendtland R, Anders K, Uder M, Wüst W, Rauh C and Meier-Meitinger M: Ultrasound elastography of pulmonary lesions-a feasibility study. Ultraschall Med. 35:33–37. 2014.PubMed/NCBI | |
|
Volpicelli G: Lung sonography. J Ultrasound Med. 32:165–171. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Sconfienza LM, Mauri G, Grossi F, Truini M, Serafini G, Sardanelli F and Murolo C: Pleural and peripheral lung lesions: Comparison of US- and CT-guided biopsy. Radiology. 266:930–935. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Rhymer JC: Elastography in the detection of prostatic cancer. Clin Radiol. 58:3372003. View Article : Google Scholar : PubMed/NCBI | |
|
Xu JM, Xu XH, Xu HX, Zhang YF, Zhang J, Guo LH, Liu LN, Liu C and Zheng SG: Conventional US, US elasticity imaging, and acoustic radiation force impulse imaging for prediction of malignancy in thyroid nodules. Radiology. 272:577–586. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Guo LH, Wang SJ, Xu HX, Sun LP, Zhang YF, Xu JM, Wu J, Fu HJ and Xu XH: Differentiation of benign and malignant focal liver lesions: Value of virtual touch tissue quantification of acoustic radiation force impulse elastography. Med Oncol. 32:682015. View Article : Google Scholar : PubMed/NCBI | |
|
Ko KH, Jung HK, Kim SJ, Kim H and Yoon JH: Potential role of shear-wave ultrasound elastography for the differential diagnosis of breast non-mass lesions: Preliminary report. Eur Radiol. 24:305–311. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Cross TJ, Mitchell JD and Cramp ME: Elastography for the non-invasive assessment of liver disease: Limitations and future developments. Gut. 58:1171–1172. 2009.PubMed/NCBI | |
|
Moon HJ, Sung JM, Kim EK, Yoon JH, Youk JH and Kwak JY: Diagnostic performance of gray-scale US and elastography in solid thyroid nodules. Radiology. 262:1002–1013. 2012. View Article : Google Scholar : PubMed/NCBI | |
|
Ophir J, Céspedes I, Ponnekanti H, Yazdi Y and Li X: Elastography: A quantitative method for imaging the elasticity of biological tissues. Ultrason Imaging. 13:111–134. 1991. View Article : Google Scholar : PubMed/NCBI | |
|
Shiina T, Nightingale KR, Palmeri ML, Hall TJ, Bamber JC, Barr RG, Castera L, Choi BI, Chou YH, Cosgrove D, et al: WFUMB guidelines and recommendations for clinical use of ultrasound elastography: Part 1: Basic principles and terminology. Ultrasound Med Biol. 41:1126–1147. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Sperandeo M, Trovato FM, Dimitri L, Catalano D, Simeone A, Martines GF, Piscitelli AP and Trovato GM: Lung transthoracic ultrasound elastography imaging and guided biopsies of subpleural cancer: A preliminary report. Acta Radiol. 56:798–805. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Lichtenstein D, Mezière G and Seitz J: The dynamic air bronchogram. A lung ultrasound sign of alveolar consolidation ruling out atelectasis. Chest. 135:1421–1425. 2009. View Article : Google Scholar : PubMed/NCBI | |
|
Jeon KN, Bae K, Park MJ, Choi HC, Shin HS, Shin S, Kim HC and Ha CY: US-guided transthoracic biopsy of peripheral lung lesions: Pleural contact length influences diagnostic yield. Acta Radiol. 55:295–301. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Sperandeo M, Filabozzi P, Varriale A, Carnevale V, Piattelli ML, Sperandeo G, Brunetti E and Decuzzi M: Role of thoracic ultrasound in the assessment of pleural and pulmonary diseases. J Ultrasound. 11:39–46. 2008. View Article : Google Scholar : PubMed/NCBI | |
|
Sheth S, Hamper UM, Stanley DB, Wheeler JH and Smith PA: US guidance for thoracic biopsy: A valuable alternative to CT. Radiology. 210:721–726. 1999. View Article : Google Scholar : PubMed/NCBI | |
|
Yang PC, Luh KT, Chang DB, Yu CJ, Kuo SH and Wu HD: Ultrasonographic evaluation of pulmonary consolidation. Am Rev Respir Dis. 146:757–762. 1992. View Article : Google Scholar : PubMed/NCBI | |
|
Yang PC, Chang DB, Yu CJ, Lee YC, Kuo SH and Luh KT: Ultrasound guided percutaneous cutting biopsy for the diagnosis of pulmonary consolidations of unknown aetiology. Thorax. 47:457–460. 1992. View Article : Google Scholar : PubMed/NCBI | |
|
Kim MH, Luo S, Ko SH, Bae JS, Lim J, Lim DJ and Kim Y: Thyroid nodule parameters influencing performance of ultrasound elastography using intrinsic compression. Ultrasound Med Biol. 41:2333–2339. 2015. View Article : Google Scholar : PubMed/NCBI | |
|
Chang JM, Won JK, Lee KB, Park IA, Yi A and Moon WK: Comparison of shear-wave and strain ultrasound elastography in the differentiation of benign and malignant breast lesions. AJR Am J Roentgenol. 201:W347–W356. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
National Lung Screening Trial Research Team, . Church TR, Black WC, Aberle DR, Berg CD, Clingan KL, Duan F, Fagerstrom RM, Gareen IF, Gierada DS, et al: Results of initial low-dose computed tomographic screening for lung cancer. N Engl J Med. 368:1980–1991. 2013. View Article : Google Scholar : PubMed/NCBI | |
|
Krohn A, Ahrens T, Yalcin A, Plönes T, Wehrle J, Taromi S, Wollner S, Follo M, Brabletz T, Mani SA, et al: Tumor cell heterogeneity in Small Cell Lung Cancer (SCLC): Phenotypical and functional differences associated with Epithelial-Mesenchymal Transition (EMT) and DNA methylation changes. PLoS One. 9:e1002492014. View Article : Google Scholar : PubMed/NCBI | |
|
Ma JJ, Ding H, Mao F, Sun HC, Xu C and Wang WP: Assessment of liver fibrosis with elastography point quantification technique in chronic hepatitis B virus patients: A comparison with liver pathological results. J Gastroenterol Hepatol. 29:814–819. 2014. View Article : Google Scholar : PubMed/NCBI | |
|
Bob F, Bota S, Sporea I, Sirli R, Petrica L and Schiller A: Kidney shear wave speed values in subjects with and without renal pathology and inter-operator reproducibility of acoustic radiation force impulse elastography (ARFI)-preliminary results. PLoS One. 9:e1137612014. View Article : Google Scholar : PubMed/NCBI |
