Literature DB >> 28280359

Application of carbon nanoparticles in lymph node dissection and parathyroid protection during thyroid cancer surgeries: a systematic review and meta-analysis.

Lun Wang1, Dong Yang1, Jun-Yuan Lv1, Dan Yu1, Shi-Jie Xin1.   

Abstract

PURPOSE: To investigate whether carbon nanoparticles (CNs) are helpful in identifying lymph nodes and metastatic lymph nodes and in parathyroid protection during thyroid cancer surgery.
METHODS: English and Chinese literature in PubMed, Cochrane Database of Systematic Reviews, EMBASE, ClinicalTrials.gov, China Biology Medicine Database, China National Knowledge Infrastructure, China Master's and Doctoral Theses Full-Text Database, Wanfang database, and Cqvip database were searched (till March 22, 2016). Randomized controlled trials (RCTs) that compared the use of CNs with a blank control in patients undergoing thyroid cancer surgery were included. Quality assessment and data extraction were performed, and a meta-analysis was conducted using RevMan 5.1 software. The primary outcomes were the number of retrieved central lymph nodes and metastatic lymph nodes, and the rate of accidental parathyroid removal.
RESULTS: We obtained 149 relevant studies, and only 47 RCTs with 4,605 patients (CN group: n=2,197; blank control group: n=2,408) met the inclusion criteria. Compared with the control group, the CN group was associated with more retrieved lymph nodes/patient (weighted mean difference [WMD]: 3.39, 95% confidence interval [CI]: 2.73-4.05), more retrieved metastatic lymph nodes (WMD: 0.98, 95% CI: 0.61-1.35), lower rate of accidental parathyroid removal, and lower rates of hypoparathyroidism and hypocalcemia. However, the total metastatic rate of the retrieved lymph nodes did not differ between the groups (odds ratio: 1.13, 95% CI: 0.87-1.47, P=0.35).
CONCLUSION: CNs can improve the extent of neck dissection and protect the parathyroid glands during thyroid cancer surgery. And the number of identified metastatic lymph nodes can be simultaneously increased.

Entities:  

Keywords:  carbon nanoparticles; lymph node tracer; meta-analysis; parathyroid; thyroid cancer

Year:  2017        PMID: 28280359      PMCID: PMC5338936          DOI: 10.2147/OTT.S131012

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Thyroid cancer is a common malignant tumor, and its occurrence has been increasing appreciably over the last few decades.1,2 Papillary thyroid carcinoma, the most common pathological type of thyroid carcinoma, is associated with an excellent prognosis if surgery is performed successfully.3,4 However, complications and tumor metastasis often occur postoperatively. A multicenter revisit study of 25,634 patients with a history of ambulatory surgery revealed that the incidence of hypocalcemia was as high as 20.8%.5 Moreover, the rate of postoperative cervical lymph node metastasis has been reported to be as high as 20%–90%.6,7 Therefore, an effective method is urgently required to help identify and remove additional lymph nodes and decrease the risk of parathyroid injury. Nanobiotechnology, a new field defined as biomedical applications of nanosized systems, which involves nanostructure and nanomaterials, has emerged as a key player among various disciplines of biomedical science. Nanomaterials, which measure 1–1,000 nm, have unique physical and chemical properties such as small-size effect, large surface area, high reactivity, and quantum effects. In addition, they have been certified as breaking a new ground in disease detection,8,9 imaging,10,11 diagnosis,12,13 and treatment.12,14–16 Carbon-based nanoparticles are an important part of nanomaterials; they include carbon nanotubes, fullerene, and graphene and its derivatives.17 Due to their unique physical and chemical properties, carbon-based nanoparticles have broad applications in the biomedical field. Above all, structure or surface modifications of carbon-based nanoparticles result in different effects. In recent years, with the development of nanotechnology, nanomaterials or nanosized products have been used in surgeries. Carbon nanoparticles (CNs) suspension (China Food and Drug Administration approval H20041829; Lai Mei Pharmaceutical Co, Chongqing, People’s Republic of China), which comprises nanosized polymeric carbon granules with an average diameter of 150 nm (Figure 1),18 ensures that these CNs pass through the lymphatic vessels (diameter: 120–500 nm) rather than blood capillaries (diameter: 20–50 nm) due to their molecular size. Hence, the lymph nodes and thyroid glands can be stained with CNs but not the parathyroid glands. Therefore, as revealed in Figure 2,19 CNs have been used as lymph node tracers during thyroid surgeries in the People’s Republic of China in recent years, but there is no report about their usage in other countries. Previous studies have demonstrated that CNs could help visualize the lymph nodes and preserve the parathyroid. In addition, a meta-analysis has also been published to support this viewpoint.20 However, controversy still exists about the usefulness of CNs. Liu et al reported that CNs are not beneficial for parathyroid protection during thyroid cancer surgery and that the usage of CNs results in a significantly prolonged operation time.18 Before 2014, all articles published on the usage of CNs in thyroid cancer surgeries were in Chinese, and there were only limited randomized controlled trials (RCTs) reported. Accordingly, a considerable amount of non-RCTs were included in the previous meta-analysis.20 However, in recent years, more RCTs have been published. Hence, another meta-analysis is needed to determine whether CNs are helpful in thyroidectomy.
Figure 1

Transmission electron microscopic image of CNs.

Notes: The main active component of CNs is nanosized polymeric carbon granules with an average diameter of 150 nm. Republished with permission of SAGE Publications, Inc., from Liu X, Chang S, Jiang X, Huang P, Yuan Z. Identifying parathyroid glands with carbon nanoparticle suspension does not help protect parathyroid function in thyroid surgery: a prospective, randomized control clinical study. Surg Innov. 2016;23(4):381–389. © The Author(s) 2016; permission conveyed through Copyright Clearance Center, Inc.18

Abbreviation: CN, carbon nanoparticle.

Figure 2

Intraoperative view of the black-stained clusters of lymph nodes by CN injection.

Notes: Reproduced with permission of John Wiley and Sons, from Zhu Y, Chen X, Zhang H, et al. Carbon nanoparticle-guided central lymph node dissection in clinically node-negative patients with papillary thyroid carcinoma. Head Neck. 2016;38(6):840–845. © 2015 Wiley Periodicals, Inc.19

Abbreviation: CN, carbon nanoparticle.

With this in mind, the present systematic review and meta-analysis was designed to confirm whether CNs are indeed helpful in thyroid cancer surgery, that is, whether CNs can really improve the extent of thyroidectomy and neck dissection and help identify metastatic lymph nodes while preserving the parathyroid glands, as compared with the performance of blank controls.

Methods

Search strategy

The following English and Chinese databases were searched systematically by 2 investigators independently (till March 22, 2016): PubMed, Cochrane Database of Systematic Reviews, EMBASE, ClinicalTrials.gov, China Biology Medicine Database, China National Knowledge Infrastructure, China Master’s and Doctoral Theses Full-Text Database, WANFANG database, and Cqvip database. RCTs on initial thyroid cancer surgeries that compared the use of CNs with a blank control were included. Our search terms included (nano-carbon) or (carbon particle) or (carbon nanoparticle) or (carbon nanoparticles) or (lymph node tracer) or (lymphatic tracer) or (lymphography) and (thyroid or thyroidea). To resolve any disagreement between the 2 investigators, a third reviewer was invited to assess any discrepant items.

Inclusion criteria

The studies selected were RCTs on thyroid cancer surgeries that included: 1) patients who underwent initial surgery and with a confirmed pathology diagnosis and 2) a control group not injected with anything before thyroidectomy and a CN group injected with CNs.

Exclusion criteria

Non-independent clinical controlled trials, non-RCTs, studies with a patient number <10, or studies with incomplete data were excluded.

Observation indexes

The primary outcomes were the number of retrieved central lymph nodes and metastatic lymph nodes per patient, and the rate of accidental parathyroid removal. Other outcomes extracted from the identified RCTs included the staining rate of lymph nodes, the number of metastatic lymph nodes in all retrieved lymph nodes, and the rate of postoperative transient or permanent hypoparathyroidism and hypocalcemia. All included articles reported at least 1 of the outcomes.

Quality assessment

To evaluate the quality of these studies, the Jadad scoring system was applied in the RCTs. The scoring system included 3 items: descriptions of the dropouts and withdrawals (0 or 1 point), blinding (0–2 points), and randomization (0–2 points). The maximum score was 5 points. RCTs that scored 3–5 points were considered to be of high quality, whereas a score of 0–2 was considered to indicate low quality.

Statistical analysis

RevMan version 5.1 software was used for the statistical analyses. We measured the heterogeneity of the studies using the I2 and χ2 tests. Statistical heterogeneity of the studies was defined as an I2 value <50% or P-value <0.10. The random-effects model was applied if heterogeneity existed among the studies; otherwise, the fixed-effects model was adopted for the analyses. Weighted mean differences (WMDs) with 95% confidence intervals (CIs) were used for the continuous outcome variables, whereas risk differences (RDs) and odds ratios (ORs) with 95% CIs were calculated for the dichotomous outcome variables. To investigate possible bias, funnel plots were created. For all analyses, statistical differences were considered to exist between the 2 groups when P-value was <0.05.

Results and discussion

Considering the complicated anatomic structure and lymphatic drainage, the cervical lymph node metastasis rate is amazingly high after thyroid cancer surgery.6,7 Especially, in the central region of the neck and other places such as the central neck compartment and deep surface of the recurrent laryngeal nerve, which cannot be easily dissected, postoperative cervical lymph node metastasis is common. As a result, reoperation and surgical trauma are common in these patients. According to a previous report,21 while the incidence of permanent hypoparathyroidism is 3%–10% after the first surgery for thyroid disease, it is as high as 9%–35% after reoperation. Kurmann et al reported that the incidence of permanent recurrent laryngeal nerve palsy was significantly higher in patients undergoing reoperation on the ipsilateral lobe compared to patients undergoing initial operation (3.8% vs 1.1%; P=0.03).22 In addition, parathyroid injury has been considered inevitable for a long time, mostly due to its unique anatomy. The appearance of the parathyroid is similar to that of the cervical lymph nodes, and the location of the gland is close to the backside of the thyroid gland and varies greatly; for example, the parathyroid may hide within the thyroid lobes, thymus, or carotid sheath. Xu and Gu reported that 6.9%–46% of parathyroid glands were damaged during thyroid surgery.23 Such damage may cause permanent or transient hypocalcemia and hypoparathyroidism, and will consequently affect the quality of life of the patients. Therefore, some technical methods are urgently needed to help us better visualize the lymph nodes and metastatic lymph nodes, and distinguish the parathyroid glands and preserve them. CNs, which have a mean diameter of 150 nm and a lymphatic tendency, had been used as lymph node tracers clinically in other cancer surgeries before. Upon injection, CNs are rapidly devoured by macrophages, resulting in the lymph nodes, but not the capillaries, initially becoming black-stained. Subsequently, the thyroid tissue stains black, as do the surrounding lymph nodes, whereas any tissues without lymph vessel connections remain unstained. Some previous studies have demonstrated that CNs are beneficial for visualizing the lymph nodes and for distinguishing and preserving the parathyroid glands. On the contrary, other studies found no advantage of CNs.18,24 In addition, some indexes, such as postoperative hypocalcemia, are easily influenced by confounding factors such as the postoperative therapeutic selection, calcium supplements, and individual differences. To date, no large-scale meta-analysis has been performed to clarify these diverging results. Therefore, our analysis was designed to resolve the problems.

Literature search and study description

According to the search strategy, 149 references were obtained, and 47 RCTs met the inclusion criteria.18,19,23–67 The flowchart of the literature search is shown in Figure 3. A total of 4,605 patients were included in the analysis, including 2,197 patients in the CN group and 2,408 patients in the blank control group. All patients had confirmed thyroid cancer by postoperative pathologic diagnosis and had been divided into the CN and blank control groups randomly. All of the CNs used in these studies were the same product.
Figure 3

Flowchart of the literature search.

The characteristics of all 47 RCTs are presented in Table 1. The Jadad scale system was used to assess the quality of the included studies (Table 2). Most investigators preferred multipoint injections (2–4 points) prior to the thyroidectomy, with a total dose of approximately 0.3–0.8 mL. Besides, according to our experience and the studies analyzed herein, no adverse reactions to CNs have been reported.
Table 1

Characteristics of the 47 RCTs included in the meta-analysis

StudynMale/female
Age, years, mean (SD)
Injection siteDose (mL)Waiting timeStaining rate (%)Indicesa
CNsBLCNsBL
Chen et al (2016)2517315/7213/7333.46 (4.58)34.32 (4.36)Upper, middle, and lower points of the thyroid0.35–10 minNA1, 4–6
Zhang et al (2016)26373/143/1741.1 (8.7)43 (7.2)In the bilateral thyroid0.2–0.45–20 min95.51–4
Liu et al (2016)1815616/6217/61NANAUpper, middle, and lower parts of the lobes0.4–0.8NANA4, 6
Li (2015)27404/168/1247.9 (11.2)49.5 (12.4)Top of the tumor0.4–0.83 minNA4
Feng and He (2015)28600/300/30NANA4 points around the tumor0.8NANA4–6
Guo et al (2015)29599/218/2135 (9.5)32 (8.2)Upper, middle, and lower points of the bilateral thyroid0.620 minNA6
Duan et al (2015)308014/2615/2540.4 (7.18)42.5 (7.65)3–5 points around the thyroid0.3–0.530 min95.71, 2, 4, 5
Chen and Wu (2015)319611/3716/3246.1 (10.9)45.8 (12.6)NANANANA1, 5, 6
Du et al (2015)3211819/4118/4042.7 (10.6)43.5 (10.8)Upper and middle points of the thyroid0.45 minNA4–6
Wang et al (2015)33120NANANANAUpper and middle points of the thyroid0.215 minNA1–6
Liu and Qing (2015)346612/2111/2246.11 (2.09)45.63 (2.7)Upper, middle, and lower points of the thyroid0.320 minNA4–6
Shao et al (2015)3560NANANANAMultipoint injection of the tumor0.4–1.210 minNA1, 5, 6
Fu (2015)43250NANANANA4–6 points around the tumor0.8–1.215–20 minNA5
Wu et al (2015)3624511/7933/122NANATop and middle points of the tumor0.2–0.65–10 minNA4–6
Li et al (2015)3752NANANANA4 points of the bilateral thyroid1.010 minNA4–6
Chu et al (2015)385710/188/2146.28 (12.635)40.39 (1.711)Upper, middle, and lower points of the ipsilateral thyroid0.3–0.610 minNA1, 4
Wang et al (2015)398810/349/3536.6 (11.2)36.8 (11.4)Upper, middle, and lower points of the thyroid0.3–0.8NANA1
Wu et al (2015)4086NANANANAUpper, middle, and lower points of the thyroid0.6–1.230 min82.91–3
Yin et al (2015)418017/2318/22NANAUpper, middle, and lower points of the thyroid0.65 minNA4–6
Li et al (2015)42729/2710/26NANA2–4 points around the thyroidNA15 min841–6
Xu and Gu (2016)231145/524/5345.37 (10.71)42.68 (14.43)Around the tumor0.55–10 minNA1, 4–6
Wang et al (2015)64551/272/2530.25 (6.04)29.44 (6.27)In the thyroid gland0.1–0.22–3 min851, 4–6
Zhu et al (2016)1916214/6716/6546.75 (12.09)44.31 (10.73)1–2 points in the thyroid gland0.1–0.2Few minutes92.751–6
Gu et al (2015)6510010/406/4446.98 (9.027)47.76 (13.912)Upper and lower points of the thyroid0.2–0.33–5 minNA1, 2, 4–6
Liu et al (2014)44473/205/1937.79 (11.2)33.94 (7.76)Upper, middle, and lower points of the thyroid0.61 dayNA1, 4–6
Chen et al (2014)45725/318/2838.23 (10.67)34.64 (8.75)Upper, middle, and lower points of the thyroid0.4/0.630 min95.41, 2, 4
Gao and Zhao (2014)4610012/389/4142 (1.28)41 (1.36)3–4 points around the tumor0.53–130 min95.561–5
Yang et al (2014)4737923/15527/17442.3 (8.5)44.2 (7.3)Upper and lower points of the tumor or the thyroid gland0.1–0.33–5 minNA1, 6
Wang and Rang (2014)4870NANA44.3 (8.8)45.2 (7.9)4 points in the contralateral thyroid gland0.4–0.815–20 minNA1, 2, 4–6
Liu et al (2014)49555/219/2036.58 (11.31)33.58 (7.77)In the ipsilateral thyroid14 daysNANA1, 4–6
Du (2014)50404/168/1247.9 (10.12)49.5 (12.4)Top point of the thyroid gland0.4–0.83 minNA1, 4–6
Zhao (2014)5118323/7919/62NANAUpper and lower points of the thyroid0.1–0.25 min73.51, 2
Chun (2014)52676/2711/2341.06 (12.84)44.65 (12.84)Upper, middle, and lower points of the thyroid0.1–0.33–5 min86.81, 5
Liu (2014)5318423/5330/7846.5 (12.8)47.2 (13.5)Multipoint injection of the tumor0.8NANA5, 6
Zhang et al (2014)547212/2410/26NANAUpper and lower points of the thyroid0.2–0.45 minNA4–6
Shen et al (2014)55109NANANANAAround the tumor0.210 min90.51, 2, 4
Shao et al (2014)5729NANANANAUpper, middle, and lower points of the thyroid0.3–0.615 minNA4–6
Long et al (2014)5615015/6012/6341.4 (1.62)42.1 (2.56)Upper, middle, and lower points of the ipsilateral thyroid0.320 minNA1, 2, 6
Tian et al (2014)661005/4511/3936.4 (2.5)44.5 (5.8)Upper, middle, and lower points of the thyroid0.610–15 minNA1, 2, 4–6
Sun et al (2014)6780NANANANA2–4 points around the tumor0.2–0.815 min69.891–4
Yang et al (2013)58431/201/2132.48 (4.69)32.32 (5.35)In the ipsilateral thyroid gland0.120 minNA1, 2, 4, 5
Yang et al (2013)596817/1912/2034.5 (9.1)33.9 (10.3)1–2 points around the tumor0.1–0.310 min91.71, 5
Wu (2013)60555/219/2036.58 (11.31)33.58 (7.77)Upper, middle, and lower points of the ipsilateral thyroid0.6NANA1, 2, 4–6
Huang et al (2013)247212/2410/2641.22 (2.53)40.69 (2.42)Lower and upper points of the tumor0.2–0.4NANA5
Bai et al (2013)61889/397/3346.28 (9.2)45.39 (12.03)Lower and upper points of the tumor0.2NANA1–6
Zeng et al (2012)62800/400/40NANA4–6 points around the tumor1.020 minNA5, 6
Wang et al (2009)633610/87/11NANA4–6 points around the tumor0.4–0.630 min95.22–4

Notes:

Observation indexes: differences in the following: 1) the number of retrieved lymph nodes, 2) the total metastatic rate of the retrieved lymph nodes, 3) the metastatic rate of stained/unstained lymph nodes, 4) the accidental parathyroid removal rate, 5) the postoperative transient or permanent hypoparathyroidism rate, and 6) the postoperative transient or permanent hypocalcemia rate between the CN and blank control groups.

Abbreviations: RCT, randomized controlled trial; SD, standard deviation; CN, carbon nanoparticle; BL, blank; NA, not available.

Table 2

Quality assessment of the 47 randomized controlled trials included using the Jadad scale system

StudyRandomizationConcealment of allocationBlindingLoss to follow-up (%)Quality assessment
Chen et al (2016)25No detailed descriptionOnly mentioned randomizedUnclear02
Zhang et al (2016)26No detailed descriptionOnly mentioned randomizedUnclear02
Liu et al (2016)18Computer-generated permutedOnly mentioned randomizedUnclear03
Li (2015)27No detailed descriptionOnly mentioned randomizedUnclear02
Feng and He (2015)28No detailed descriptionOnly mentioned randomizedUnclear02
Guo et al (2015)29No detailed descriptionOnly mentioned randomizedUnclear02
Duan et al (2015)30No detailed descriptionOnly mentioned randomizedUnclear02
Chen and Wu (2015)31No detailed descriptionOnly mentioned randomizedUnclear02
Du et al (2015)32No detailed descriptionOnly mentioned randomizedUnclear02
Wang et al (2015)33No detailed descriptionOnly mentioned randomizedUnclear02
Liu and Qing (2015)34No detailed descriptionOnly mentioned randomizedUnclear02
Shao et al (2015)35No detailed descriptionOnly mentioned randomizedUnclear02
Fu (2015)43No detailed descriptionOnly mentioned randomizedUnclear02
Wu et al (2015)36No detailed descriptionOnly mentioned randomizedUnclear02
Li et al (2015)37Random-number tableOnly mentioned randomizedUnclear03
Chu et al (2015)38No detailed descriptionOnly mentioned randomizedUnclear02
Wang et al (2015)39No detailed descriptionOnly mentioned randomizedUnclear02
Wu et al (2015)40Random-number tableOnly mentioned randomizedUnclear03
Yin et al (2015)41Random-number tableOnly mentioned randomizedUnclear03
Li et al (2015)42Random-number tableOnly mentioned randomizedUnclear03
Xu and Gu (2016)23No detailed descriptionOnly mentioned randomizedUnclear02
Wang et al (2015)64Computer-generatedOnly mentioned randomizedUnclear03
Zhu et al (2016)19Computer-generated random-number tablesOnly mentioned randomizedUnclear03
Gu et al (2015)65No detailed descriptionOnly mentioned randomizedUnclear02
Liu et al (2014)44No detailed descriptionOnly mentioned randomizedUnclear02
Chen et al (2014)45No detailed descriptionOnly mentioned randomizedUnclear02
Gao and Zhao (2014)46No detailed descriptionOnly mentioned randomizedUnclear02
Yang et al (2014)47No detailed descriptionOnly mentioned randomizedUnclear02
Wang and Rang (2014)48Random-number tableOnly mentioned randomizedUnclear03
Liu et al (2014)49No detailed descriptionOnly mentioned randomizedUnclear02
Du (2014)50No detailed descriptionOnly mentioned randomizedUnclear02
Zhao (2014)51No detailed descriptionOnly mentioned randomizedUnclear02
Chun (2014)52No detailed descriptionOnly mentioned randomizedUnclear02
Liu (2014)53No detailed descriptionOnly mentioned randomizedUnclear02
Zhang et al (2014)54No detailed descriptionOnly mentioned randomizedUnclear02
Shen et al (2014)55No detailed descriptionOnly mentioned randomizedUnclear02
Shao et al (2014)57No detailed descriptionOnly mentioned randomizedUnclear02
Long et al (2014)56Odd or even numberOnly mentioned randomizedUnclear01
Tian et al (2014)66Randomization chartOnly mentioned randomizedUnclear03
Sun et al (2014)67Computer-generated permuted block sequencingOnly mentioned randomizedUnclear03
Yang et al (2013)58No detailed descriptionOnly mentioned randomizedUnclear02
Yang et al (2013)59No detailed descriptionOnly mentioned randomizedUnclear02
Wu (2013)60No detailed descriptionOnly mentioned randomizedUnclear15.43
Huang et al (2013)24Computer-generated permutedSealed envelopesSingle blinding03
Bai et al (2013)61No detailed descriptionOnly mentioned randomizedUnclear02
Zeng et al (2012)62No detailed descriptionOnly mentioned randomizedUnclear02
Wang et al (2009)63Random-number tableOnly mentioned randomizedUnclear03

Notes: The Jadad scale was used to assess the quality of these RCTs. Thirteen studies included had a score of 3 points, which reflected the high quality of the study. The majority of studies had 2 points or lower. These studies can be considered to be of relatively low quality.

Abbreviation: RCT, randomized controlled trials.

Intervention effects

Number of retrieved lymph nodes and metastatic lymph nodes, and metastatic rate of retrieved lymph nodes in the CN and blank control groups

Compared with the blank control groups, the use of CNs resulted in an increased number of retrieved lymph nodes, approximately 3.39 per patient (WMD =3.39, 95% CI =2.73–4.05, P<0.00001; Figure 4A). The number of retrieved metastatic lymph nodes per patient in the CN group was significantly higher than in the blank control group (WMD =0.98, 95% CI =0.61–1.35, P<0.00001; Figure 4B). However, interestingly, the total metastatic rate of the lymph nodes, metastatic rate of the stained lymph nodes, and metastatic rate of the unstained lymph nodes were not significantly different between the CN and blank control groups (OR =1.13, 95% CI =0.87–1.47, P=0.35; OR =1.33, 95% CI =0.91–1.94, P=0.14; and OR =0.55, 95% CI =0.23–1.36, P=0.20, respectively; Figure 5A–C).
Figure 4

Forest plot showing the association of CNs with retrieved lymph nodes and metastatic lymph nodes.

Notes: (A) Number of retrieved lymph nodes per patient in the CN and blank control groups. (B) Number of retrieved metastatic lymph nodes per patient.

Abbreviations: CN, carbon nanoparticle; SD, standard deviation; IV, interval variable; CI, confidence interval; random, random effect; df, degrees of freedom.

Figure 5

Forest plot showing the relationship of CNs and different kinds of retrieved lymph nodes.

Notes: (A) Total metastatic rate of the retrieved lymph nodes. Metastatic rates of the (B) stained and (C) unstained lymph nodes in the CN and blank control groups.

Abbreviations: CN, carbon nanoparticle; M–H, Mantel–Haenszel; random, random effect; CI, confidence interval; df, degrees of freedom.

In the present meta-analysis of these studies, we found that the number of retrieved lymph nodes per patient in the CN group was higher than that of the blank control group. This finding of an increasing number of retrieved lymph nodes corresponds to the improvement in the extent of neck dissection. Further, with increasing removal of dyed lymph nodes, metastatic lymph nodes will also be cleared away simultaneously. Hence, the number of metastatic lymph nodes in the CN group was statistically higher than that in the blank control group. Besides, 4 studies reported that the number of retrieved small lymph nodes (diameter <5 mm) was significantly higher in the CN group.44,60,61,67 These findings suggest that CNs may help identify tiny, suspicious lymph nodes. However, it should be noted that the total metastatic rate of the retrieved lymph nodes and the metastatic rate of stained or unstained lymph nodes did not significantly differ between the 2 groups, consistent with the findings of previous studies.46,68 In Gao and Zhao study,46 more metastatic lymph nodes were eliminated in the CN group (6±2.37 vs 4±2.49; P<0.01), but the rate of metastatic lymph nodes did not differ (45.97% vs 47.10%; P>0.05). In the study by Yan et al,68 no increase in the number of sentinel lymph node metastasis-positive cases was observed with the utilization of CNs, as compared to that in the control group (36.8% vs 63.2%). Concerning the mechanism of CNs, it is considered that the tissue damage and inflammation caused by the tumor alter the lymphatic drainage channels of the thyroid, which in turn will affect the diffusion of CNs and the identification of metastatic lymph nodes. Thus, it is actually quite hard for CNs to distinguish metastatic lymph nodes among normal lymph nodes.

Anatomic structure and physical function of the parathyroid in the CN and blank control groups

Compared with the blank control group, the use of CNs was associated with a lower rate of accidental parathyroid removal, approximately 22% (OR =0.22, 95% CI =0.16–0.30, P<0.00001; RD =−0.13, 95% CI =−0.15 to −0.11, P<0.00001; Figure 6). The transient and permanent hypoparathyroidism rates declined by approximately 31% and 24% in the CN group, respectively (transient hypoparathyroidism rate: OR =0.31, 95% CI =0.25–0.39, P<0.00001; RD =−0.15, 95% CI =−0.18 to −0.12, P<0.00001; Figure 7A; permanent hypoparathyroidism rate: OR =0.24, 95% CI =0.07–0.85, P=0.03; RD =−0.02, 95% CI =−0.03 to −0.00, P<0.02; Figure 7B). In addition, the rate of postoperative transient hypocalcemia in the blank control group was 30% higher than in the CN group (OR =0.30, 95% CI =0.25–0.38, P<0.00001; RD =−0.16, 95% CI =−0.18 to −0.13, P<0.00001; Figure 8A). On the other hand, the postoperative permanent hypocalcemia rate did not significantly differ between the CN and blank control groups (OR =0.33, 95% CI =0.04–3.03, P=0.33; RD =−0.01, 95% CI =−0.03 to −0.01, P=0.35; Figure 8B).
Figure 6

Accidental parathyroid removal rate in the CN and blank control groups.

Abbreviations: CN, carbon nanoparticle; M–H, Mantel–Haenszel; CI, confidence interval; df, degrees of freedom.

Figure 7

(A) Postoperative transient and (B) permanent hypoparathyroidism rates in the CN and blank control groups.

Abbreviations: CN, carbon nanoparticle; M–H, Mantel–Haenszel; CI, confidence interval; df, degrees of freedom.

Figure 8

(A) Postoperative transient and (B) permanent hypocalcemia rates in the CN and blank control groups.

Abbreviations: CN, carbon nanoparticle; M–H, Mantel–Haenszel; CI, confidence interval; df, degrees of freedom.

In terms of the protection of the parathyroid, some previous studies showed that the usage of CNs was not beneficial;18,24 however, our study demonstrated that the rates of accidental parathyroid removal (Figure 6), postoperative transient or permanent hypoparathyroidism (Figure 7), and transient hypocalcemia (Figure 8A) were lower in the CN group. This finding suggests that the usage of CNs will help distinguish and preserve the parathyroid glands. However, there was no significant difference in the rate of permanent hypocalcemia. This might have resulted from the quantitative restrictions of the RCTs included. In addition, Yang et al reported that the use of CNs resulted in a decreased rate of parathyroid auto-transplantation.47

Publication bias and limitations

A funnel plot analysis of all RCTs was performed as part of the present meta-analysis. The findings indicated that the publication bias was low (Figure 9). But considering the difficulties in publishing studies with negative findings, many studies likely remain unpublished, and these were not available for analysis. In addition, the quality of assessment scores of the 47 RCTs included was relatively low, owing largely to a lack of blinding; however, it is difficult to apply double-blinding during surgery. Thus, further high-quality research is needed to verify the conclusions of the present study.
Figure 9

Funnel plots for publication bias.

Notes: Publication bias for (A) the number of retrieved lymph nodes per patient, (B) number of retrieved metastatic lymph nodes per patient, (C) total metastatic rate of the retrieved lymph nodes, (D) metastatic rate of the stained lymph nodes, (E) metastatic rate of the unstained lymph nodes, (F) accidental parathyroid removal rate, (G) postoperative transient hypoparathyroidism rate, (H) postoperative permanent hypoparathyroidism rate, (I) postoperative transient hypocalcemia rate, and (J) postoperative permanent hypocalcemia rate in the CN and blank control groups. Each point represents a separate study for the indicated association.

Abbreviations: CN, carbon nanoparticle; SE, standard error; MD, mean difference; OR, odds ratio.

Conclusion

This systematic review and meta-analysis demonstrated that the usage of CNs can improve the extent of neck dissection and preserve the normal anatomic structure and physiological function of the parathyroid. At the same time, the number of retrieved metastatic lymph nodes can also be improved during thyroid cancer surgery.
  34 in total

1.  Protection of parathyroid function using carbon nanoparticles during thyroid surgery.

Authors:  Kai Huang; Dingyuan Luo; Mingqing Huang; Miaoyun Long; Xingzhi Peng; Honghao Li
Journal:  Otolaryngol Head Neck Surg       Date:  2013-10-25       Impact factor: 3.497

2.  Clinical application of carbon nanoparticle lymph node tracer in the VI region lymph node dissection of differentiated thyroid cancer.

Authors:  S P Sun; Y Zhang; Z Q Cui; Q Chen; W Zhang; C X Zhou; P P Xie; B G Liu
Journal:  Genet Mol Res       Date:  2014-04-30

Review 3.  A Meta-analysis of Carbon Nanoparticles for Identifying Lymph Nodes and Protecting Parathyroid Glands during Surgery.

Authors:  Yin Li; Wen-Hua Jian; Zhu-Ming Guo; Qiu-Li Li; Shao-Jian Lin; Hai-Yan Huang
Journal:  Otolaryngol Head Neck Surg       Date:  2015-04-20       Impact factor: 3.497

4.  Identifying Parathyroid Glands With Carbon Nanoparticle Suspension Does Not Help Protect Parathyroid Function in Thyroid Surgery: A Prospective, Randomized Control Clinical Study.

Authors:  Xu Liu; Shi Chang; Xiaolin Jiang; Peng Huang; Zhengtai Yuan
Journal:  Surg Innov       Date:  2016-01-17       Impact factor: 2.058

5.  The impact of lymph node involvement on survival in patients with papillary and follicular thyroid carcinoma.

Authors:  Victor Zaydfudim; Irene D Feurer; Marie R Griffin; John E Phay
Journal:  Surgery       Date:  2008-12       Impact factor: 3.982

6.  Potential role for carbon nanoparticles identification and preservation in situ of parathyroid glands during total thyroidectomy and central compartment node dissection.

Authors:  Jialei Gu; Jiafeng Wang; Xilin Nie; Wendong Wang; Jinbiao Shang
Journal:  Int J Clin Exp Med       Date:  2015-06-15

7.  Assessment of risk factors of incidental parathyroidectomy during thyroid surgery: a prospective study.

Authors:  Tamer Youssef; Ghada Gaballah; Ebraheim Abd-Elaal; Ebraheim El-Dosoky
Journal:  Int J Surg       Date:  2010-01-11       Impact factor: 6.071

Review 8.  Nanoparticle therapeutics: an emerging treatment modality for cancer.

Authors:  Mark E Davis; Zhuo Georgia Chen; Dong M Shin
Journal:  Nat Rev Drug Discov       Date:  2008-09       Impact factor: 84.694

9.  Nanodiamonds coupled with 5,7-dimethoxycoumarin, a plant bioactive metabolite, interfere with the mitotic process in B16F10 cells altering the actin organization.

Authors:  Angelo Gismondi; Valentina Nanni; Giacomo Reina; Silvia Orlanducci; Maria Letizia Terranova; Antonella Canini
Journal:  Int J Nanomedicine       Date:  2016-02-03

10.  Application of nano-carbon in lymph node dissection for thyroid cancer and protection of parathyroid glands.

Authors:  Wuguo Tian; Yan Jiang; Bo Gao; Xiaohua Zhang; Shu Zhang; Jianjie Zhao; Yujun He; Donglin Luo
Journal:  Med Sci Monit       Date:  2014-10-14
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  12 in total

1.  Preoperative application of carbon nanoparticles in bilateral axillo-breast approach robotic thyroidectomy for papillary thyroid cancer.

Authors:  Hui Ouyang; Fada Xia; Zhejia Zhang; Rong Cong; Xinying Li
Journal:  Gland Surg       Date:  2021-12

2.  Mitoxantrone hydrochloride injection for tracing helps to decrease parathyroid gland resection and increase lymph node yield in thyroid cancer surgery: a randomized clinical trial.

Authors:  Shaobo Chen; Xianming Hou; Surong Hua; Ziwen Liu; Binglu Li; Xiaoyi Li; Lin Cong; Quan Liao; Jugao Fang; Lizhen Hou; Shanghua Jing; Zhen Zhao; Jianwu Qin; Songtao Zhang; Zhendong Li; Dongning Huang; Ning Zhang; Yongfu Zhao; Jun Liu; Shujun Wang; Ge Chen; Yupei Zhao
Journal:  Am J Cancer Res       Date:  2022-09-15       Impact factor: 5.942

3.  Predictors of impaired effectiveness of carbon nanoparticle-based central lymph node tracing in patients who underwent surgery for papillary thyroid cancer: A retrospective cohort study.

Authors:  Ping-Ping Chen; Xing Zhang; Jia-Gen Li; Gun Chen
Journal:  Medicine (Baltimore)       Date:  2022-10-14       Impact factor: 1.817

4.  The predictive factors for postoperative hypoparathyroidism and its severity on the first postoperative day after papillary thyroid carcinoma surgery.

Authors:  Renhong Huang; Qiang Wang; Wei Zhang; Siluo Zha; Daozhen Jiang; Xinyun Xu; Xiangmin Zheng; Ming Qiu; Chengxiang Shan
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-07-20       Impact factor: 2.503

5.  Preoperative injection of carbon nanoparticles is beneficial to the patients with thyroid papillary carcinoma: From a prospective study of 102 cases.

Authors:  Shouyi Yan; Wenxin Zhao; Bo Wang; Liyong Zhang
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

6.  Infiltration of nanocarbon suspension into the tracheal cavity during surgical treatment of papillary thyroid carcinoma: a case report.

Authors:  Lin-Bo Zhu; Feng Zhu; Peng-Fei Li; Peng-Bin Zhang
Journal:  J Int Med Res       Date:  2020-04       Impact factor: 1.671

7.  Do carbon nanoparticles really improve thyroid cancer surgery? A retrospective analysis of real-world data.

Authors:  Junsong Liu; Chongwen Xu; Rui Wang; Peng Han; Qian Zhao; Honghui Li; Yanxia Bai; Lifeng Liu; Shaoqiang Zhang; Xiaobao Yao
Journal:  World J Surg Oncol       Date:  2020-05-02       Impact factor: 2.754

8.  Protective strategy of parathyroid glands during thyroid lobectomy: A retrospective cohort and case-control study.

Authors:  Zhichao Xing; Yuxuan Qiu; Yuan Fei; Baoying Xia; Munire Abuduwaili; Jingqiang Zhu; Anping Su
Journal:  Medicine (Baltimore)       Date:  2021-04-09       Impact factor: 1.817

9.  Clinical feasibility of imaging with indocyanine green combined with carbon nanoparticles for sentinel lymph node identification in papillary thyroid microcarcinoma.

Authors:  Xing Zhang; Yan-Ping Shen; Jia-Gen Li; Gun Chen
Journal:  Medicine (Baltimore)       Date:  2019-09       Impact factor: 1.817

Review 10.  Preoperative and Intraoperative Methods of Parathyroid Gland Localization and the Diagnosis of Parathyroid Adenomas.

Authors:  Jacek Baj; Robert Sitarz; Marek Łokaj; Alicja Forma; Marcin Czeczelewski; Amr Maani; Gabriella Garruti
Journal:  Molecules       Date:  2020-04-09       Impact factor: 4.411

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