Nomograms predictive for oncological outcomes in malignant parotid tumours: recurrence and mortality rates of 228 patients from a single institution

Mannelli, Giuditta; Franchi, Alessandro; Fasolati, Martina; Cecconi, Lorenzo; Bettiol, Alessandra; Vannacci, Alfredo; Gallo, Oreste

doi:10.1007/s00405-019-05556-9

Cited by 7 publications

(7 citation statements)

References 40 publications

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“…More recently, Mannelli et al presented a postoperative prognostic nomogram for 5 year parotid cancer recurrence probability, with excellent CI as well (0.829; as compared to our initial PS2 CI of 0.79) (13). Variables used to construct this nomogram include age, stage, histological grade, perineural invasion and pathological lymph node status.…”

Section: Figure 2 | (A)mentioning

confidence: 68%

“…For parotid carcinoma, 10 year disease specific survival rates after treatment in major centers range from 47 to 69%, depending on population, study and disease characteristics (8). For the purpose of determining the expected treatment result of a specific patient within this range, many prognostic factors have been identified, and clinical prognostication tools have been developed (9)(10)(11)(12)(13). Increasing precision in estimating prognosis can aid in clinical decision making: it can help in deciding on treatment intensity and can help determining follow-up intervals.…”

Section: Introductionmentioning

confidence: 99%

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Validated Prognostic Nomograms for Patients With Parotid Carcinoma Predicting 2- and 5-Year Tumor Recurrence-Free Interval Probability

et al. 2020

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Introduction: Salivary gland malignancies are rare tumors with a heterogenous histological and clinical appearance. Previously, we identified multiple prognostic factors in patients with parotid cancer and developed prognostic indices which have repeatedly been validated internationally, demonstrating their general applicability and lasting relevance. Recently, nomograms gained popularity as a prognostic tool. Thus, in this research we aimed to construct nomograms based on our previous validated prognostic models. Material and Methods: Nomograms were constructed using the previously reported dataset of 168 patients with parotid cancer which was used to develop pre-and postoperative prognostic scores, PS1 and PS2, respectively. Concordance indices for PS1 and PS2 were previously estimated at 0.74 and 0.71, respectively, and are in line with other, widely accepted oncological nomograms. Results: Pre-and postoperative nomograms predicting 2-and 5-year tumor recurrence-free survival probability are presented. All previously multivariately identified and validated prognostic factors, are incorporated (T size, N classification, pain, age at diagnosis, skin invasion, facial nerve dysfunction, perineural growth, and positive surgical margins). Examples of clinical application and interpretation are given. Conclusions: The presented prognostic nomograms for predicting 2-and 5-year tumor recurrence-free probability in patients with parotid cancer are powerful, user-friendly, visual tools and are based on internationally validated prognostic indices. They allow for a reliable prognostic assessment and result in a more individualized estimate of the risk for recurrence than the prognostic grouping based on PS1 and PS2. This facilitates assigning trial-patients to risk groups, and may assist in therapeutic decision making and determining appropriate follow-up intervals in clinical practice.

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Section: Figure 2 | (A)mentioning

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Validated Prognostic Nomograms for Patients With Parotid Carcinoma Predicting 2- and 5-Year Tumor Recurrence-Free Interval Probability

et al. 2020

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“… 33 J Lukovic et 34 have built a nomogram predicting distant metastasis for the major SGCs with several clinicopathological features. However, most of the reports about the nomogram 35 , 36 , 37 for the major SGCs have enrolled the patients with or without PORT owing to the rarity. PORT was significantly correlated with favorable prognosis for the major SGCs, and we have included the cases that underwent PORT.…”

Section: Discussionmentioning

confidence: 99%

A nomogram involving immune‐inflammation index for predicting distant metastasis‐free survival of major salivary gland carcinoma following postoperative radiotherapy

Yan

Shen

et al. 2022

Cancer Medicine

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Background Postoperative radiotherapy (PORT) is beneficial in the improvement of local‐regional control and overall survival (OS) for major salivary gland carcinomas (SGCs), and distant metastasis remained the main failure pattern. This study was designed to develop a nomogram model involving immune‐inflammation index to predict distant metastasis‐free survival (DMFS) of major SGCs. Patients and Methods A total of 418 patients with major SGCs following PORT were randomly divided into a training ( n = 334) and validation set ( n = 84). The pre‐radiotherapy neutrophil‐to‐lymphocyte ratio (NLR), and platelet‐to‐lymphocyte ratio (PLR) were calculated and transformed as continuous variables for every patient. Associations between DMFS and variables were performed by univariate and multivariable analysis using Log‐rank and Cox regression methods. A nomogram was constructed based on the prognostic factors identified by the Cox hazards model. The decision curve analysis (DCA) was conducted with the training and validation set. Results The estimated 3‐, 5‐, and 10‐year DMFS were 79.4%, 71.8%, and 59.1%, respectively. The multivariate analysis revealed that age ( p = 0.033), advanced T stage ( p = 0.003), positive N stage ( p < 0.001), high‐risk pathology ( p = 0.011), and high PLR ( p = 0.001) were significantly associated with worse DMFS. The nomogram showed good calibration and discrimination in the training (AUC = 80.9) and validation set (AUC = 87.9). Furthermore, the DCA demonstrated favorable applicability, and a significant difference ( p < 0.001) was observed for the DMFS between the subgroups based on the nomogram points. Conclusion The nomogram incorporating clinicopathological features and PLR presented accurate individual prediction for DMFS of the patients with major SGCs following PORT. Further external validation of the model is warranted for clinical utility.

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“…2 Although commonly grouped together, they can develop in both major and minor salivary glands, show heterogeneous clinical presentations and be histologically diverse. 3,4 In fact, according to the most recent World Health Organization (WHO) Classification of Head and Neck Tumors, 22 different SGC histotypes can be distinguished. 5 In this setting of epidemiological rarity, histological heterogeneity and unpredictable behavior, recurrent salivary cancers (RSCs) represent an extraordinarily challenging clinical scenario.…”

Section: Introductionmentioning

confidence: 99%

“…They present an estimated age‐standardized annual incidence of less than 2 new cases/100000 persons in most countries 2 . Although commonly grouped together, they can develop in both major and minor salivary glands, show heterogeneous clinical presentations and be histologically diverse 3,4 . In fact, according to the most recent World Health Organization (WHO) Classification of Head and Neck Tumors, 22 different SGC histotypes can be distinguished 5…”

Section: Introductionmentioning

confidence: 99%

Estimating survival after salvage surgery for recurrent salivary gland cancers: Systematic review

et al. 2022

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Recurrent salivary gland carcinomas (RSCs) are poorly characterized and their clinical features and treatment options have not yet been fully described. The goal of this study was to analyze the therapeutic strategies and oncological outcomes of RSC patients through a literature review analysis. This systematic review was performed according to the PRISMA statements. Inclusion criteria for the systematic review were based on the population, intervention, comparison, and outcomes according to (PICO) framework. Two thousand seven hundred and four records were selected and 1817 recurrences were studied. Three hundred and sixty-five patients underwent salvage surgery (20.1%) and their

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Nomograms predictive for oncological outcomes in malignant parotid tumours: recurrence and mortality rates of 228 patients from a single institution

Cited by 7 publications

References 40 publications

Validated Prognostic Nomograms for Patients With Parotid Carcinoma Predicting 2- and 5-Year Tumor Recurrence-Free Interval Probability

Validated Prognostic Nomograms for Patients With Parotid Carcinoma Predicting 2- and 5-Year Tumor Recurrence-Free Interval Probability

A nomogram involving immune‐inflammation index for predicting distant metastasis‐free survival of major salivary gland carcinoma following postoperative radiotherapy

Estimating survival after salvage surgery for recurrent salivary gland cancers: Systematic review

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