Orginal Research
2024 June
Volume : 12 Issue : 2


Deep margin assessment by intraoperative ultrasound in tongue cancer- dust trial

Parvataneni N, Devarakonda KK, Gilkarl IH, Paga U, Isamalla C, Chiliki A, Susmitha P, Chejerla MKR, Gopisetti RS, Gafurjiwala SM

Pdf Page Numbers :- 138-142

Nagendra Parvataneni1, Kiran Kumar Devarakonda1, Ishfaq Ahmad Gilkarl1, Ulhas Paga1,*, Chaithanya Isamalla2, Amulya Chiliki1, Susmitha P1, Mahesh Kumar Raju Chejerla1, Reshma Sree Gopisetti1 and Seema M. Gafurjiwala3

 

1Department of Surgical Oncology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad-500003, Telangana, India

2Department of Radiodiagnosis, Krishna Institute of Medical Sciences, Minister Road, Secunderabad-500003, Telangana, India

3Indian Institute of Public Health, Hyderabad, India

 

*Corresponding author: Dr. Ulhas Paga, Department of Surgical Oncology, Krishna Institute of Medical Sciences, Minister Road, Secunderabad-500003, Telangana, India. Email: ulhas11@gmail.com.

 

Received 29 December 2023; Revised 29 February 2024; Accepted 11 March 2024; Published 20 March 2024

 

Citation: Parvataneni N, Devarakonda KK, Gilkarl IH, Paga U, Isamalla C, Chiliki A, Susmitha P, Chejerla MKR, Gopisetti RS, Gafurjiwala SM. Deep margin assessment by intraoperative ultrasound in tongue cancer- dust trial. J Med Sci Res. 2024; 12(2):138-142. DOI: http://dx.doi.org/10.17727/JMSR.2024/12-26

 

Copyright: © 2024 Parvataneni N et al. Published by KIMS Foundation and Research Center. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Abstract

Introduction: Oral cancer ranks sixth among all cancers globally and India has the most significant number of cases, one-third of the total burden of oral cancer cases globally. The aim of the study was to conduct deep margin assessment using intraoperative ultrasound in superficial oral tongue carcinomas, ensuring adequate surgical resection for early-stage oral tongue cancer minimizing loco regional recurrence risks.

Methodology: This is a prospective observational study involving 91 diagnosed tongue malignancies. The study included biopsy verified tongue cancer. During the surgical procedure and effect of general anaesthesia the tongue lesions of the patient were evaluated with intraoral sonography. An intraoral transducer probe characterized by an 8 to 10 MHz ultrasonic beam Siemens Acuson NX3 was used to assess the deep margin, tumor thickness, margins, and other findings like lingual nodes are noted.

Results: A total of 91 patients that underwent resection using intraoperative USG were included in the study. The majority of the patients were in the age group 41 - 60 years. As carcinoma tongue is more common in males our study has a sex distribution of 63 male and 28 females. The mean deep margin assessed by USG - is 0.901cm and the mean deep margin assessed by the frozen section is 0.762 cm. The mean deep margin assessed by final histology is 0.748 cm.

Conclusion: USG guided resection of early tongue cancers is a technique that is able to increase the frequency of free margins and decrease the close margin and positive margin frequency when compared to conventional treatment. USG being noninvasive is a very fast method in comparison to the frozen section and seems to be a promising technique. Larger studies are needed with control groups to possibly confirm a statistically significant difference in adequate deep resection margin and improvement in DSS and quality of life in future.

 

Keywords: deep margin; tongue; carcinoma

Full Text

Introduction

Oral cancer ranks sixth among all cancers globally and India has the most significant number of cases, one-third of the total burden of oral cancer cases globally [1]. India faces a severe oral cancer burden, with 77,000 new cases and 54,000 annual deaths [2, 3] and it primarily affects young adults, presenting in advanced stages with a low cure rate (40-50%) [1]. Squamous cell carcinoma (SCC) constitutes over 90% of oral and pharyngeal cancers [4]. Oral tongue carcinoma risks in India include tobacco use, alcohol consumption, poor oral hygiene, viral infections, and nutrient-deficient diets [1]. The most common areas involved in the tongue were the lateral borders especially at the junction of anterior 2/3rd and posterior 1/3rd [5].

 

The 8th edition of AJCC introduced Depth of Invasion (DOI) in staging oral cancers, crucial for prognostication and deciding elective neck dissection. DOI, distinct from tumor thickness (TT), reflects the tumor's deepest invasion and is a strong predictor of occult lymph node metastasis and disease-specific survival. MRI, ultrasound, and CT aid DOI measurement, with MRI being well-studied and reliable. Guidelines recommend considering elective neck dissection when DOI exceeds 4 mm. Achieving tumor-free margins is vital in surgery, with a 1-1.5 cm intraoperative margin recommended. Inadequate resections range from 30-85%, emphasizing the challenge in assessing margins, especially the elusive deep margin. Positive deep margins are common, leading to unnecessary adjuvant treatments and increased patient burden [6-12]. In order to mitigate the close or positive margins of the deep margin, several intraoperative assessment methods have been developed. Frozen section analysis (FSA), near-infrared fluorescence, hyperspectral imaging (HSI), optical coherence tomography (OCT), narrow-band imaging (NBI), ultrasound, computed tomography, specimen radiography, magnetic resonance imaging, and image-guided surgery are in use [13]. Frozen Section Analysis (FSA) is widely employed, with 97% of head and neck surgeons incorporating it in practice [14]. Auto-fluorescence, narrow band imaging, and optical coherence tomography are not suitable for deep-margin assessment [15]. USG is a dynamic imaging technique, using sound waves in the megahertz range. It is non-invasive and quick. USG assessment is a better predictor than manual palpation and deep margin can be assessed both in vivo and ex vivo using high-resolution USG probe [16, 17].

 

The aim of the study was to conduct deep margin assessment using intraoperative ultrasound in superficial oral tongue carcinomas, ensuring adequate surgical resection for early-stage oral tongue cancer minimizing loco regional recurrence risks and to correlate ultrasound measurements with histologically determined deep margin values and prevent close margins.

 

Methodology

The prospective observational study involving 91 diagnosed tongue malignancies at the Krishna Institute of Medical Sciences, Department of Surgical Oncology, conducted from 2020 to 2023 (two and half years). Patients provided oral and written consent after being informed about the procedure and study details. The study included biopsy verified tongue cancer and excluded patients with prior oral cavity surgery, floor of the mouth cancer not available for ultrasound investigation, extension of floor of the mouth cancer to the gingiva, those not suitable for surgery, T4 tumors, individuals under 18, and those declining to participate. All cases were studied prospectively without randomization, and the same surgeon treats all patients. Pathology specimens are reviewed by a single pathologist, ensuring consistency. The study had received approval from Institutional Ethics Committee.

 

During the surgical procedure and under general anaesthesia the tongue lesions of the patient were evaluated with intraoral Sonography. An intraoral transducer probe characterized by an 8 to 10 MHz ultrasonic beam Siemens Acuson NX3 with water-based eco gel and probe cover was used to assess the deep margin, Tumor thickness, margins, and other findings like lingual nodes are noted. The surgical approach was transoral in all cases and oral wash a USG probe enclosed in a sterile plastic cover was introduced into the surgical field placed on the surface of the tongue lesion and evaluated for deep margin, DOI, and any lingual nodes. This information was reconfirmed by clinical examination with palpation. Resection had proceeded in standard fashion. Wide local excision with a margin of 1.5cm is done in three dimensions. Once the resection is completed the resected tongue specimen is examined ex-vivo using the USG probe for deep-margin assessment. Applying undue pressure on the specimen may distort the deep margin and tumor thickness due to external forces. After thorough scanning in all directions and deep margin, images were obtained and values were noted, and if the deep margin was close it was revised immediately. The surgical specimen later is sent for frozen section analysis. In the frozen section laboratory, tumor was cut and gross measurements were taken and surgical margin were noted. Close or suspicious margins were taken for the frozen section. The values were noted and compared to the Final histopathology report. All the demographic details and the measured study variables were noted in the proforma and data imported into an Excel sheet and analyzed.

 

Results

A total of 91 patients that underwent resection using Intraoperative USG were included in the study. The majority of the patients were in the age group 41 - 60 years. As carcinoma tongue is more common in males our study has a sex distribution of 63 male and 28 females. Patients presented with T1 disease were 29, 36 patients in T2, 26 patients in T3 stage, and T4 tumors with reduced mouth opening and inability to do USG examination are excluded from the study. Data was taken in a systematic manner filling the proforma and all the data exported onto an excel sheet. Margins greater than 0.5 mm were considered free and any margin less than 0.5 mm was considered close and less than 0.1cm was considered positive.

 

Table 1: Paired Samples Correlations. 

 

N

Correlation

Significance

One-Sided p

Two-Sided p

Pair 1

USG  deep margin  (CM) & Frozen section deep margin  (CM)

91

.964

<.001

<.001

Pair 2

USG  deep margin (CM) & Deep margin final (CM)

91

.916

<.001

<.001

 

The deep margin assessment, the main objective of the study, was assessed by the USG value noted and a mean USG deep margin was derived and it was compared to the deep margin assessed by the frozen section and final histopathological examination which is the gold standard. The mean deep margin assessed by USG - is 0.901cm and the mean deep margin assessed by the frozen section is 0.762 cm. The mean deep margin assessed by final histology is 0.748 cm.

 

Table 2: correlation and p-value between USG deep margin and frozen and final deep margins.  

 

USG  deep margin (Cm)

Frozen section deep margin  (Cm)

Deep margin final (Cm)

N

Valid

91

91

91

Missing

0

0

0

Mean

.9011

.7626

.7484

Std. Deviation

.52228

.48526

.50318

Minimum

.10

.10

.10

Maximum

3.00

3.00

3.00

Percentiles

25

.5000

.4000

.4000

50

.8000

.7000

.6000

75

1.3000

1.0000

1.0000

 

 

Figure 1: Scatter plot.

 

Scatter plot analysis shows the reliability of positive USG deep margin assessment as compared to the frozen section and final HPE assessment. (R2= 0.967).

 

Discussion

Surgery is the first and best choice of treatment in early-stage T1, T2, and T3 tumors of oral tongue squamous cell carcinoma [18]. Radical resection with good margins is a prerequisite for better recurrence-free, disease-free, and overall survival [19]. But the percentage of resection margins that are inadequate in oral tongue carcinoma to date is still around 30% - 80% [10]. Resection margins with tumor cells less than 1mm is considered positive margin, less than 5mm are considered close margins, and more than 5mm are considered free [20]. Obtaining negative margins is the most important factor in the surgeon's hands. The most common margin that is usually close or positive is the deep margin [21]. Most of the patients with inadequate resections with close and positive margins require adjuvant therapy in the form of radiation and chemoradiation which are associated with increased morbidity and decreased quality of life and additional increased financial burden [22].

 

Margin assessment after tumor resection is critical and it's the only prognostic factor in the surgeon's hands and is very challenging. Many methods are followed from gross examination, palpation, frozen section, image-guided surgery like Ultrasound, spectroscopy, fluorescence imaging, and final histopathological examination [13]. The most ideal technique for guidance is that which provides a direct and quick response of the complete mucosal and deep margins with microscopic accuracy during resection Frozen section analysis is the most commonly followed intraoperative assessment of margins after tongue resection surgery [15]. This frozen section analysis not only widely available but has drawbacks like, it has high rates of false negatives, type of frozen section i.e., specimen-driven FSA or patient-driven FSA is different with varied results. Relocating the sample site after it is reported as close or positive is very difficult and challenging and Kerwala et al showed an error of 12mm for relocation of the sample site [13]. After resection by the time the specimen reaches the pathologist tissue is subjected to shrinkage leading to close margins. So, an ideal technique to assess deep margins or mucosal margins should be easy, cheap, widely available, and fast and should be done in the operating room. Fluorescence imaging and other optical techniques like Spectroscopy, hyperspectral imaging, optical coherence tomography, and Narrow band imaging are costly and are in evolving stages and may be promising in the future [13]. In the literature, data on deep resection margin is scarce, previous studies have indicated that USG is a promising technique in assessing the deep margin which is fast and reliable when compared to conventional methods [23]. Real-time USG guidance aids surgeons in adjusting resection margins, crucial for the small and highly functional tongue. In this study, we assessed post-tongue resection deep margins to prevent close and positive margins.

 

A total of 91 patients were included in the study which is a higher number when compared to the previous studies in the literature, Yoon et al in 2020 (N = 36), De Koning et al in 2020 (N=31), and Nilsson et al (N = 34). In the present study we found that most of the patients were in the age group > 41 years of age similar findings were observed by Nilsson et al where the minimum and maximum age groups in USG-assisted surgery and the conventional group were 34-86 and 27-88 years respectively. Most of the patients in our study are in the T2 stage 36/91 ie., 39.5 %. As the Baek et al group, we used the mean deep margin as an outcome measure 0.901cm+/- 5.2 mm (mean +/- SD) as the outcome measure the mean deep margin assessed by USG in our study was 0.901cm+/- 5.2 mm (mean +/- SD) and the mean deep margin assessed by the frozen section is. 0.762 cm +/- 4.8 mm. The mean deep margin assessed by final histology is 0.748 cm+/- 5.0 mm. In the present study, 78.1 % of the USG-assisted resections had clear margins similar to De Koning et al who compared 40 USG-assisted resections to 96 conventional resections and found significant improvement in deep margins in USG-assisted resections 55% vs 15%.

 

Higher stage T3 and T4 was a strong predictor for inadequate deep margin but they were assessed correctly by USG assessment and allowed us to revise the margins to prevent close and positive margins. On statistical analysis a strong correlation was observed between USG guided resection mean deep margin and histopathological deep margin.

 

We identified that USG / and histologic i.e., frozen and final histopathological deep margins are almost similar and developed a detailed insight in terms of the accuracy of the technique and its utility. USG-guided surgery for early-stage carcinoma tongue is an accessible and inexpensive technique and provides a good overview of deep and submucosal margins, moreover pre-excisional USG for carcinoma tongue gives us an insight into the depth of invasion, tumor extent, and presence of lingual nodes without any adverse events. In this study, we have shown that USG has good accuracy in assessing the deep margin in carcinoma tongue patients, ensuring that it is a reliable method for surgical guidance. Preoperatively, assessing DOI faced challenges due to issues like gag reflex, pain, and movement limitations. Additionally, the occurrence of lingual nodes was rare, accounting for around 2% with only a few case reports. Lingual nodes are an inconstant lymph node group which cannot be implied for every tongue cancer patient. Anatomically-obtained incidences of LLN range from 8.6% to 30.2% [24].

 

Intraoperative USG guides optimal tumor resection, ensuring adequate margins while preserving essential native tongue function. While lacking long-term follow-up, we anticipate favorable outcomes, potentially minimizing adjuvant therapy-related morbidity. Future studies with control groups can assess avoidance of radiation therapy and impact on survival. Our study informs a USG criterion for deep margin assessment during tongue cancer resection.

 

Criteria for USG assessment of deep margin

Ultrasound-guided assessment is suitable for early-stage tumors, reducing operative time. Challenging in advanced cases, ex vivo assessment is possible post-resection. Operator-dependent, it requires a high-resolution linear probe with minimal transducer pressure. Lack of a control group and long-term follow-up are study limitations. Current results suggest favorable outcomes with clear margins in USG-guided resections.

 

Conclusion

In conclusion, USG guided resection of early tongue cancers is a technique that is able to increase the frequency of free margins and decrease the close margin and positive margin frequency when compared to conventional treatment. USG being noninvasive is a very fast method in comparison to the frozen section and seems to be a promising technique. Larger studies are needed with control groups to possibly confirm a statistically significant difference in adequate deep resection margin and improvement in DSS and Quality of life in future.

 

Conflicts of interest

Authors declare no conflicts of interest.

 

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