Role of narrow-band imaging in detection of head and neck unknown primary squamous cell carcinoma

The role of non-oropharyngeal biopsies in head and neck squamous cell carcinoma of unknown primary: A systematic review

INTRODUCTION

This systematic review aims to evaluate the role of biopsies in non-oropharyngeal subsites in patients with cervical metastasis from head and neck squamous cell carcinoma of unknown primary (HNSCCUP).

METHODS

This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Articles that encompassed non-oropharyngeal biopsies in HNSCCUP as part of the diagnostic work-up were selected and analysed.

RESULTS

A comprehensive search strategy was used to search relevant literature in PubMed from inception to October 2021. Eleven articles out of 860 were included, comprising 990 patients. There are no randomised control trials comparing the outcomes of survival and or locoregional control between patients who have or have not undergone non-targeted biopsies of non-oropharyngeal sub-sites for HNSCCUP. Several retrospective studies which showed an extremely low yield from random biopsies (range of yield, 0%-9%) of non-oropharyngeal subsites. Even targeted biopsies showed a low yield (range of yield, 0.6%-16.6%) from non-oropharyngeal subsites. The primary site identified for Epstein-Barr virus (EBV) positive cervical lymph nodes with an unknown primary is mainly the nasopharynx (51.7%). Narrow band imaging (NBI) (sensitivity range, 64%-91%) helps in the detection of primaries to target biopsies in non-oropharyngeal subsites.

CONCLUSIONS

On the basis of this systematic review, it is not appropriate to offer biopsies of clinically and radiologically normal upper aerodigestive tract mucosa at non-oropharyngeal sites. Offer nasopharyngeal biopsies when the cervical node sampling reveals EBV-positive metastasis. Where available, NBI should be used to help detect and target biopsies in non-oropharyngeal subsites.

The usefulness of narrow-band Imaging (NBI) in nasopharyngeal lesions-Validation of the Ni NBI classification dedicated for vascular pattern in the nasopharynx

BACKGROUND

This study aims to explore the applicability of narrow-band imaging (NBI) involving the Ni classification for the diagnosis of nasopharyngeal mucosal lesions in order to distinguish malignant tumours (NPT) from non-malignant lesions.

METHODS

Each patient (n = 53) with a suspected nasopharyngeal lesion underwent a trans-nasal flexible video endoscopy with an optical filter for NBI. We assessed the suspected area using white light imaging (WLI) in terms of location and morphology as well as the vascular pattern (using Ni classification of nasopharyngeal microvessels) and surrounding tissue by using NBI. Based on the results of the NBI and WLI, patients were classified into "positive" or "negative" groups. All lesions of the nasopharynx were biopsied and submitted for final histological evaluation.

RESULTS

NBI showed higher sensitivity, specificity, and accuracy than WLI. There was a significant correlation between the final histological result and the NBI pattern of the NPT: Chi2(1) = 31.34; p = 0.000001 and the WLI assessment of the NPT: Chi2(1) = 14.78; p = 0.00012.

CONCLUSIONS

The assessment of the NPT in NBI using Ni NBI classification proved valuable in suspected mucosa assessment. NBI not only confirms the suspicious areas in WLI, but it also shows microlesions beyond the scope of WLI and allows for proper sampling.

A systematic review on efficacy, safety and cost-effectiveness of office-based laryngeal biopsy

OBJECTIVE

Laryngeal cancer is the second most prevalent head and neck malignancy in the USA. With recent advances in technology, this procedure is increasingly performed under local anaesthesia. This study aimed to identify the efficacy, safety and cost-effectiveness of laryngeal biopsy in out-patients by conducting a systematic review.

METHOD

A literature search was conducted using PubMed, Medline, Google Scholar and Embase over a 20-year period. Inclusion criteria were: studies performed on out-patient diagnostic biopsy procedures of the larynx. Exclusion criteria included all therapeutic procedures. The outcome measures were sensitivity and specificity, complication rate and cost-savings.

RESULTS

Thirty-five studies were included in the analysis. The sensitivity and specificity varied from 60 to 100 per cent with a low complication rate and cost savings.

CONCLUSION

Office-based laryngeal biopsies are increasingly used in the diagnosis of laryngeal cancers, resulting in earlier diagnosis and commencement of treatment. The barrier to undertaking this procedure is low sensitivity.

Accuracy of narrow band imaging for detecting the malignant transformation of oral potentially malignant disorders: A systematic review and meta-analysis

Objective

Oral potentially malignant disorders (OPMDs) are a spectrum of diseases that harbor the potential of malignant transformation and developing into oral squamous cell carcinoma (OSCC). Narrow band imaging (NBI) has been clinically utilized for the adjuvant diagnosis of OPMD and OSCC. This study aimed to comprehensively evaluate the diagnostic accuracy of NBI for malignant transformations of OPMD by applying the intraepithelial papillary capillary loop (IPCL) classification approach.

Methods

Studies reporting the diagnostic validity of NBI in the detection of OPMD/OSCC were selected. Four databases were searched and 11 articles were included in the meta-analysis. We performed four subgroup analyses by defining IPCL I/II as negative diagnostic results and no/mild dysplasia as negative pathological outcome. Pooled data were analyzed using random-effects models. Meta-regression analysis was performed to explore heterogeneity.

Results

After pooled analysis of the four subgroups, we found that subgroup 1, defining IPCL II and above as a clinically positive result, demonstrated the most optimal overall diagnostic accuracy for the malignant transformation of OPMDs, with a sensitivity and specificity of NBI of 0.87 (95% confidence interval (CI) [0.67, 0.96], p < 0.001) and 0.83 [95% CI (0.56, 0.95), p < 0.001], respectively; while the other 3 subgroups displayed relatively low sensitivity or specificity.

Conclusions

NBI is a promising and non-invasive adjunctive tool for identifying malignant transformations of OPMDs. The IPCL grading is currently a sound criterion for the clinical application of NBI. After excluding potentially false positive results, these oral lesions classified as IPCL II or above are suggested to undergo biopsy for early and accurate diagnosis as well as management.

Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images

Introduction

Narrow Band Imaging (NBI) is an endoscopic visualization technique useful for upper aero-digestive tract (UADT) cancer detection and margins evaluation. However, NBI analysis is strongly operator-dependent and requires high expertise, thus limiting its wider implementation. Recently, artificial intelligence (AI) has demonstrated potential for applications in UADT videoendoscopy. Among AI methods, deep learning algorithms, and especially convolutional neural networks (CNNs), are particularly suitable for delineating cancers on videoendoscopy. This study is aimed to develop a CNN for automatic semantic segmentation of UADT cancer on endoscopic images.

Materials and Methods

A dataset of white light and NBI videoframes of laryngeal squamous cell carcinoma (LSCC) was collected and manually annotated. A novel DL segmentation model (SegMENT) was designed. SegMENT relies on DeepLabV3+ CNN architecture, modified using Xception as a backbone and incorporating ensemble features from other CNNs. The performance of SegMENT was compared to state-of-the-art CNNs (UNet, ResUNet, and DeepLabv3). SegMENT was then validated on two external datasets of NBI images of oropharyngeal (OPSCC) and oral cavity SCC (OSCC) obtained from a previously published study. The impact of in-domain transfer learning through an ensemble technique was evaluated on the external datasets.

Results

219 LSCC patients were retrospectively included in the study. A total of 683 videoframes composed the LSCC dataset, while the external validation cohorts of OPSCC and OCSCC contained 116 and 102 images. On the LSCC dataset, SegMENT outperformed the other DL models, obtaining the following median values: 0.68 intersection over union (IoU), 0.81 dice similarity coefficient (DSC), 0.95 recall, 0.78 precision, 0.97 accuracy. For the OCSCC and OPSCC datasets, results were superior compared to previously published data: the median performance metrics were, respectively, improved as follows: DSC=10.3% and 11.9%, recall=15.0% and 5.1%, precision=17.0% and 14.7%, accuracy=4.1% and 10.3%.

Conclusion

SegMENT achieved promising performances, showing that automatic tumor segmentation in endoscopic images is feasible even within the highly heterogeneous and complex UADT environment. SegMENT outperformed the previously published results on the external validation cohorts. The model demonstrated potential for improved detection of early tumors, more precise biopsies, and better selection of resection margins.

A Novel Cell Morphology Analyzer Application in Head and Neck Cancer

Purpose

Rapid and accurate diagnosis of the pathological characteristics of head and neck cancer and tumor resection margins is important. The DiveScope cell morphology analyzer (DiveScope) is a new endomicroscope that can rapidly image living tissues and cells. In this study, we preliminarily examined the accuracy of the DiveScope for determining the malignancy of head and neck cancers and the positivity/negativity of tumor resection margins and determined the consistency between diagnostic results with the DiveScope and those of frozen section pathology to provide a foundation for further clinical trials in pathological diagnosis of head and neck cancers and tumor resection margins.

Methods

Head and neck cancer samples and resection margin samples were rapidly stained ex vivo before observation under the DiveScope cell morphology analyzer. Experienced pathologists distinguished the benignity and malignancy of the tumors based on images obtained by the DiveScope in a double-blind manner to validate the diagnostic performance of the analyzer.

Results

We found that the cell morphology, cell nucleus morphology, karyoplasmic ratio, and even the nucleolus could be clearly distinguished. The positive likelihood ratio (PLR) and negative likelihood ratio (NLR) of benign and malignant head and neck cancer according to DiveScope results were 10.55 and 0.04, respectively. The PLR and NLR of the head and neck cancer resection margins according to the DiveScope were 19.01 and 0, respectively.

Conclusion

The DiveScope showed high accuracy in determining the benignity and malignancy of head and neck cancer and the positivity/negativity of resection margins, and its results were highly consistent with those of intraoperative frozen section pathology tests.

An overview of the current clinical status of optical imaging in head and neck cancer with a focus on Narrow Band imaging and fluorescence optical imaging

Early and accurate identification of head and neck squamous cell carcinoma (HNSCC) is important to improve treatment outcomes and prognosis. New optical imaging techniques may assist in both the diagnostic process as well as in the operative setting by real-time visualization and delineation of tumor. Narrow Band Imaging (NBI) is an endoscopic technique that uses blue and green light to enhance mucosal and submucosal blood vessels, leading to better detection of (pre)malignant lesions showing aberrant blood vessel patterns. Fluorescence optical imaging makes use of near-infrared fluorescent agents to visualize and delineate HNSCC, resulting in fewer positive surgical margins. Targeted fluorescent agents, such as fluorophores conjugated to antibodies, show the most promising results. The aim of this review is: (1) to provide the clinical head and neck surgeon an overview of the current clinical status of various optical imaging techniques in head and neck cancer; (2) to provide an in-depth review of NBI and fluorescence optical imaging, as these techniques have the highest potential for clinical implementation; and (3) to describe future improvements and developments within the field of these two techniques.

Narrow-Band Imaging in oncologic otorhinolaryngology: State of the art

OBJECTIVES

To describe the diagnostic performance of Narrow Band Imaging (NBI) combined with White Light Imaging (WLI) in the diagnosis of mucosal lesions at each location of the upper aerodigestive tract, for detection of primary tumor in case of carcinoma of unknown primary, for determination of intraoperative resection margins, and to describe its main diagnostic pitfalls.

MATERIAL AND METHODS

A PubMed search was carried out according to the PRISMA method.

RESULTS

Four hundred and seventy-seven articles published between 2007 and 2020 were identified, 133 of which met the study inclusion criteria and were assessed.

CONCLUSION

The current literature seems to support the use of NBI in diagnosis and/or follow-up of (pre-)malignant head & neck tumors, and in the determination of intraoperative resection margins.

Narrow band imaging observed oral mucosa microvasculature as a tool to detect early oral cancer: an Indian experience

BACKGROUND

Narrow band imaging (NBI) is a novel method with the potential to improve the diagnostic capability of white-light.

METHODS

A prospective observational study of 50 consecutive patients, with suspicious malignant/premalignant lesions. White-light images were assessed as suspicious for malignancy/negative for malignancy, whereas NBI images were classified based on the IPCL patterns. All lesions underwent biopsy and accuracy was compared with the histopathology (Fig. 1). Fig. 1 Representative images of the IPCL patterns from Types I-IV RESULTS: 25 lesions (49%) were positive for malignancy, 2 (3.9%) lesions showed severe dysplasia, and 24(47%) were considered negative on histopathology. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of white light and NBI in detecting invasive carcinoma was 74.07%, 79.17%, 80.00%, 73.08% and 76.47%, and 92.67%, 90.16%, 92.56%, 91.67% and 92.16% respectively. The NBI group had a significantly better sensitivity and specificity to white light. The interobserver concordance was κ = 0.881.

CONCLUSION

NBI is a highly effective tool to detect invasive carcinomas amongst suspicious lesions of the oral cavity.

Role of Transoral Robotic Surgery in the Work-up of the Unknown Primary

Unknown primary squamous cell carcinoma metastatic to cervical lymph nodes is a relatively rare tumor presentation, although the incidence may be increasing along with the rising incidence of human papilloma virus-mediated oropharyngeal cancers. Traditional diagnostic methods with palatine tonsillectomy and panendoscopy may identify the minority of primary tumors. The addition of a transoral lingual tonsillectomy may improve the diagnostic yield of identifying a primary tumor. Incorporation of transoral robotic surgery may be used for diagnostic purposes to identify a primary site and also for therapeutic purposes, whereby a primary tumor may be completely resected and combined with a neck dissection.

Narrowband Imaging for p16+ Unknown Primary Squamous Cell Carcinoma Prior to Transoral Robotic Surgery

Our purpose was to assess the potential utility of narrowband imaging (NBI) as a tool in diagnosing and treating unknown primary oropharyngeal squamous cell carcinoma (OPSCC) in patients prior to diagnostic resection with transoral robotic surgery (TORS). Between 2016 and March 2019, 29 patients with carcinoma of unknown primary meeting inclusion criteria were identified and treated with TORS. NBI was used preoperatively in 9 of 29 patients. A suspected tumor site was delineated by NBI in 8 of 9 patients (89%). Of the patients imaged with NBI, 8 of 9 (89%) patients had a pathologically confirmed tumor following TORS, corresponding to the same 8 suspected tumor sites identified with NBI. In contrast, a primary tumor was localized following TORS in 15 of 20 (75%) patients not evaluated with NBI. Thus, we see NBI as a potentially useful tool for the diagnosis and management of p16+ carcinoma of unknown primary.Level of Evidence: IIb.

Diagnosis and Management of Squamous Cell Carcinoma of Unknown Primary in the Head and Neck: ASCO Guideline

PURPOSE

To provide evidence-based recommendations to practicing physicians and other health care providers on the diagnosis and management of squamous cell carcinoma of unknown primary in the head and neck (SCCUP).

METHODS

The American Society of Clinical Oncology convened an Expert Panel of medical oncology, surgery, radiation oncology, radiology, pathology, and advocacy experts to conduct a literature search, which included systematic reviews, meta-analyses, randomized controlled trials, and prospective and retrospective comparative observational studies published from 2008 through 2019. Outcomes of interest included survival, local and regional disease control, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations.

RESULTS

The literature search identified 100 relevant studies to inform the evidence base for this guideline. Four main clinical questions were addressed, which included subquestions on preoperative evaluations, surgical diagnostic and therapeutic procedures, appropriate pathology techniques, and adjuvant therapy.

RECOMMENDATIONS

Evidence-based recommendations were developed to address preoperative evaluation for patients with a neck mass, surgical diagnostic and therapeutic procedures, appropriate treatment options in unilateral versus bilateral SCCUP.Additional information is available at www.asco.org/head-neck-cancer-guidelines.

Narrow band imaging in head and neck unknown primary carcinoma: A systematic review and meta-analysis

OBJECTIVE

To estimate the diagnostic performance of Narrow Band Imaging (NBI) in patients with cervical metastasis from head and neck squamous cell carcinoma of unknown primary (SCCUP) origin.

METHODS

PubMed, Embase, and Scopus databases were systematically scrutinized up to July 1, 2019, looking for studies that encompassed the NBI in the SCCUP diagnostic work up. The main inclusion criteria for eligible articles for the meta-analysis were non-evidence of primary tumor after physical examination and conventional cross-section imaging before NBI assessment and the availability of complete data on the diagnostic accuracy of NBI. A set of random-effects model meta-analyses was then performed following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines.

RESULTS

Five studies, conducted between January 2003 and September 2016, comprising 169 patients imaged with NBI, were included in the meta-analysis. The pooled sensitivity and specificity of NBI in patients with head and neck SCCUP was 0.83 (99% CI, 0.54-0.95) and 0.88 (99% CI, 0.55-0.97), respectively. The positive and negative likelihood ratios were 6.38 (99% CI, 1.6-25.44) and 0.06 (99% CI, 0.005-0.86). The pooled diagnostic odds ratio (DOR) was 82.15 (99% CI, 7.06-955). The overall detection rate of NBI was 0.35 (99% CI, 0.18-0.53), which allowed localization the primary tumor in 61 out of 169 patients, otherwise not detected by the usual diagnostic work-up.

CONCLUSIONS

Current available evidence suggests that NBI has a considerable diagnostic accuracy in patients affected by head and neck SCCUP. Laryngoscope, 130:1692-1700, 2020.

Intra and interobserver agreement of narrow band imaging for the detection of head and neck tumors

BACKGROUND

Narrow band imaging (NBI) in combination with white light endoscopy (WLE) has improved the accuracy for the diagnosis and follow-up of head and neck carcinomas by identifying changes in the vascular patterns of the mucosa. However, NBI evaluation is explorer-dependent and may be influenced by the learning curve. The aim of this study is to assess the intra and interobserver agreement of NBI and WLE at the office, under local anaesthesia, by either experienced or non-experienced observers.

METHODS

Eighty-seven images of head and neck lesions were routinely collected under WLE and NBI. A group of three experienced otolaryngologists and three medical students assessed the images after a brief training. No additional patient information was provided. The same protocol was repeated after three weeks. Intra and interobserver agreement were calculated with the kappa index.

RESULTS

NBI intraobserver agreement was substantial (κ = 0.62) and better than with WLE alone, which was moderate (κ = 0.57) in both groups. Interobserver agreement was moderate with WLE (κ = 0.58) and substantial with NBI (κ = 0.63). Both groups improved intraobserver and interobserver agreement with the implementation of NBI.

CONCLUSIONS

Intra and interobserver agreement with NBI for the evaluation of head and neck lesions are substantial, and improve the results of WLE alone in both, professionals and trainees.