Sinonasal Malignancy and Orbital Exenteration Sparing Cancer Surgery

Impact of salvage surgery for recurrent sinonasal cancers with skull base and intracranial involvement

OBJECTIVE

Patients with recurrent sinonasal cancers (RSNCs) often present with extensive involvement of the skull base and exhibit high rates of subsequent recurrence and death after therapy. The impact of salvage surgery and margin status on progression-free survival (PFS) and overall survival (OS) has yet to be demonstrated. The goal of this study was to determine whether skull base resection with negative margins has an impact on outcomes in the recurrent setting.

METHODS

A retrospective chart review of 47 patients who underwent surgery for RSNC with skull base invasion between November 1993 and June 2020 was conducted. The following variables were extracted from the clinical records: patient demographic characteristics (age and sex), tumor pathology, dural and orbital invasion, and prior radiation exposure and induction chemotherapy. Metastatic disease status, surgical approach, margin status, and history of postoperative chemotherapy and/or postoperative radiation therapy were noted. The primary and secondary outcomes were PFS and OS, respectively.

RESULTS

The cohort included 30 males (63.8%) and 17 females (36.2%), with a mean ± SD age of 54.8 ± 14.4 years. Thirty-five (74.5%) patients showed disease progression, and 29 (61.7%) patients died during the study period. The mean ± SD patient follow-up period was 61.8 ± 64.4 months. Dural invasion was associated with increased risk of death (HR 2.62, 95% CI 1.13-6.08). High-risk histopathology (HR 3.14, 95% CI 1.10-8.95) and induction chemotherapy (HR 2.32, 95% CI 1.07-5.06) were associated with increased odds of disease progression. When compared to patients with positive margins or gross-total resection with unknown margin status, those with negative margins had decreased odds of disease progression (HR 0.30, 95% CI 0.14-0.63) and death (HR 0.38, 95% CI 0.17-0.85).

CONCLUSIONS

RSNCs show high rates of subsequent disease progression and mortality. This study demonstrated that negative margins may be associated with improved PFS and OS in carefully selected patients who have undergone salvage surgery for RSNC.

Utility of the deep learning technique for the diagnosis of orbital invasion on CT in patients with a nasal or sinonasal tumor

Background

In nasal or sinonasal tumors, orbital invasion beyond periorbita by the tumor is one of the important criteria in the selection of the surgical procedure. We investigated the usefulness of the convolutional neural network (CNN)-based deep learning technique for the diagnosis of orbital invasion, using computed tomography (CT) images.

Methods

A total of 168 lesions with malignant nasal or sinonasal tumors were divided into a training dataset (n = 119) and a test dataset (n = 49). The final diagnosis (invasion-positive or -negative) was determined by experienced radiologists who carefully reviewed all of the CT images. In a CNN-based deep learning analysis, a slice of the square target region that included the orbital bone wall was extracted and fed into a deep-learning training session to create a diagnostic model using transfer learning with the Visual Geometry Group 16 (VGG16) model. The test dataset was subsequently tested in CNN-based diagnostic models and by two other radiologists who were not specialized in head and neck radiology. At approx. 2 months after the first reading session, two radiologists again reviewed all of the images in the test dataset, referring to the diagnoses provided by the trained CNN-based diagnostic model.

Results

The diagnostic accuracy was 0.92 by the CNN-based diagnostic models, whereas the diagnostic accuracies by the two radiologists at the first reading session were 0.49 and 0.45, respectively. In the second reading session by two radiologists (diagnosing with the assistance by the CNN-based diagnostic model), marked elevations of the diagnostic accuracy were observed (0.94 and 1.00, respectively).

Conclusion

The CNN-based deep learning technique can be a useful support tool in assessing the presence of orbital invasion on CT images, especially for non-specialized radiologists.

Outcomes of Management of Sinonasal Malignancies at a Dedicated Cancer Institution: A Retrospective Study

Introduction

Sinonasal malignancies (SNMs) are a rare and heterogeneous group of cancers with an incidence of 3%-5% of all head-and-neck tumours. The aim of the present study was to identify the characteristic features of SNMs and to analyze the treatment outcomes and the prognostic factors affecting it.

Materials and Methods

A retrospective review of patients with SNM treated at a dedicated cancer center of Pakistan between 2004 and 2018 was carried out. All patients with histologically proven diagnosis of malignancy arising from nasal cavity or paranasal sinuses and being treated with curative intent were included. The medical records of 184 cases were utilized for final analysis. Chi-square test was applied to identify significant differences. Five-year disease-specific survival (DSS) was calculated using Kaplan-Meier curve via log-rank test and comparison was made between squamous and nonsquamous histologies. P ≤0.05 was considered statistically significant.

Results

Squamous cell carcinoma was the most common histopathology (n = 62, 33.7%). 130 (70.7%) patients presented with stage IV disease. Nodal metastasis was seen in 24 (13%) patients. Treatment failure was seen in 96 (52.2%) patients and was significantly associated with tumour size and the overall stage. DSS of patients with squamous cell carcinoma was 29% as compared to 52% for patients with nonsquamous histologies (P = 0.001).

Discussion

SNM is a diverse group of cancers presenting in late stages. A higher rate of treatment failure associated significantly with stage of the disease was identified in our study.

Surgical Management of Sinonasal Cancers: A Comprehensive Review

Surgery plays an important role in the treatment of sinonasal cancer. Many surgical approaches have been described, including open, endoscopic, or combined approaches. The choice is based on several criteria: general criteria related to the oncological results and morbidity of each technique, specific criteria related to the tumor (tumor extensions, tumor pathology), the patient, or the surgeon himself. The aims of this review are (i) to provide a complete overview of the surgical techniques available for the management of sinonasal malignant tumors, with a special focus on recent developments in the field of transnasal endoscopic surgery; (ii) to summarize the criteria that lead to the choice of one technique over another. In particular, the oncological outcomes, the morbidity of the different techniques, and the specificities of each histologic subtype will be discussed based on a comprehensive literature review.