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. 2021 Jan 4;1(1):CD013630.
doi: 10.1002/14651858.CD013630.pub2.

Intraoperative imaging technology to maximise extent of resection for glioma: a network meta-analysis

Daniel M Fountain  1 , Andrew Bryant  2 , Damiano Giuseppe Barone  3 , Mueez Waqar  1 , Michael G Hart  4 , Helen Bulbeck  5 , Ashleigh Kernohan  6 , Colin Watts  7 , Michael D Jenkinson  8
Affiliations

Intraoperative imaging technology to maximise extent of resection for glioma: a network meta-analysis

Daniel M Fountain et al. Cochrane Database Syst Rev. .

Abstract
in English, Spanish

Background: Multiple studies have identified the prognostic relevance of extent of resection in the management of glioma. Different intraoperative technologies have emerged in recent years with unknown comparative efficacy in optimising extent of resection. One previous Cochrane Review provided low- to very low-certainty evidence in single trial analyses and synthesis of results was not possible. The role of intraoperative technology in maximising extent of resection remains uncertain. Due to the multiple complementary technologies available, this research question is amenable to a network meta-analysis methodological approach.

Objectives: To establish the comparative effectiveness and risk profile of specific intraoperative imaging technologies using a network meta-analysis and to identify cost analyses and economic evaluations as part of a brief economic commentary.

Search methods: We searched CENTRAL (2020, Issue 5), MEDLINE via Ovid to May week 2 2020, and Embase via Ovid to 2020 week 20. We performed backward searching of all identified studies. We handsearched two journals, Neuro-oncology and the Journal of Neuro-oncology from 1990 to 2019 including all conference abstracts. Finally, we contacted recognised experts in neuro-oncology to identify any additional eligible studies and acquire information on ongoing randomised controlled trials (RCTs).

Selection criteria: RCTs evaluating people of all ages with presumed new or recurrent glial tumours (of any location or histology) from clinical examination and imaging (computed tomography (CT) or magnetic resonance imaging (MRI), or both). Additional imaging modalities (e.g. positron emission tomography, magnetic resonance spectroscopy) were not mandatory. Interventions included fluorescence-guided surgery, intraoperative ultrasound, neuronavigation (with or without additional image processing, e.g. tractography), and intraoperative MRI.

Data collection and analysis: Two review authors independently assessed the search results for relevance, undertook critical appraisal according to known guidelines, and extracted data using a prespecified pro forma.

Main results: We identified four RCTs, using different intraoperative imaging technologies: intraoperative magnetic resonance imaging (iMRI) (2 trials, with 58 and 14 participants); fluorescence-guided surgery with 5-aminolevulinic acid (5-ALA) (1 trial, 322 participants); and neuronavigation (1 trial, 45 participants). We identified one ongoing trial assessing iMRI with a planned sample size of 304 participants for which results are expected to be published around winter 2020. We identified no published trials for intraoperative ultrasound. Network meta-analyses or traditional meta-analyses were not appropriate due to absence of homogeneous trials across imaging technologies. Of the included trials, there was notable heterogeneity in tumour location and imaging technologies utilised in control arms. There were significant concerns regarding risk of bias in all the included studies. One trial of iMRI found increased extent of resection (risk ratio (RR) for incomplete resection was 0.13, 95% confidence interval (CI) 0.02 to 0.96; 49 participants; very low-certainty evidence) and one trial of 5-ALA (RR for incomplete resection was 0.55, 95% CI 0.42 to 0.71; 270 participants; low-certainty evidence). The other trial assessing iMRI was stopped early after an unplanned interim analysis including 14 participants; therefore, the trial provided very low-quality evidence. The trial of neuronavigation provided insufficient data to evaluate the effects on extent of resection. Reporting of adverse events was incomplete and suggestive of significant reporting bias (very low-certainty evidence). Overall, the proportion of reported events was low in most trials and, therefore, issues with power to detect differences in outcomes that may or may not have been present. Survival outcomes were not adequately reported, although one trial reported no evidence of improvement in overall survival with 5-ALA (hazard ratio (HR) 0.82, 95% CI 0.62 to 1.07; 270 participants; low-certainty evidence). Data for quality of life were only available for one study and there was significant attrition bias (very low-certainty evidence).

Authors' conclusions: Intraoperative imaging technologies, specifically 5-ALA and iMRI, may be of benefit in maximising extent of resection in participants with high-grade glioma. However, this is based on low- to very low-certainty evidence. Therefore, the short- and long-term neurological effects are uncertain. Effects of image-guided surgery on overall survival, progression-free survival, and quality of life are unclear. Network and traditional meta-analyses were not possible due to the identified high risk of bias, heterogeneity, and small trials included in this review. A brief economic commentary found limited economic evidence for the equivocal use of iMRI compared with conventional surgery. In terms of costs, one non-systematic review of economic studies suggested that, compared with standard surgery, use of image-guided surgery has an uncertain effect on costs and that 5-ALA was more costly. Further research, including completion of ongoing trials of ultrasound-guided surgery, is needed.

Antecedentes: En múltiples estudios se ha identificado la importancia pronóstica del alcance de la resección en el tratamiento del glioma. En los últimos años han surgido diferentes tecnologías intraoperatorias con una eficacia comparativa desconocida para optimizar el alcance de la resección. Una revisión Cochrane anterior proporcionó evidencia de certeza baja a muy baja en los análisis de un solo ensayo y no fue posible la síntesis de los resultados. La función de la tecnología intraoperatoria para maximizar el alcance de la resección aún no está clara. Debido a las múltiples tecnologías complementarias disponibles, esta pregunta de investigación se presta a un enfoque metodológico de metanálisis en red.

Objetivos: Establecer el perfil comparativo de efectividad y riesgo de determinadas tecnologías de imagenología intraoperatorias mediante un metanálisis en red e identificar análisis de costos y evaluaciones económicas como parte de un breve comentario económico. MÉTODOS DE BÚSQUEDA: Se hicieron búsquedas en CENTRAL (2020, número 5), MEDLINE vía Ovid hasta la semana 2 de mayo de 2020, y Embase vía Ovid hasta la semana 20 de 2020. Se realizó una búsqueda retrospectiva de todos los estudios identificados. Se hicieron búsquedas manuales en dos revistas, Neuro‐oncology y Journal of Neuro‐oncology, desde 1990 hasta 2019, y se incluyeron todos los resúmenes de congresos. Finalmente, se estableció contacto con expertos reconocidos en neurooncología para identificar cualquier estudio elegible adicional y obtener información sobre los ensayos controlados aleatorizados (ECA) en curso. CRITERIOS DE SELECCIÓN: ECA que evaluaron a personas de todas las edades con presuntos tumores gliales nuevos o recidivantes (de cualquier ubicación o histología) a partir del examen clínico y la imagenología (tomografía computarizada [TC] o imagenología de resonancia magnética [IRM], o ambas). Las modalidades adicionales de imagenología (p.ej., tomografía de emisión de positrones, espectroscopia de resonancia magnética) no fueron obligatorias. Las intervenciones incluyeron cirugía guiada por fluorescencia, ecografía intraoperatoria, neuronavegación (con o sin procesamiento adicional de las imágenes, p.ej., tractografía) e IRM intraoperatoria. OBTENCIÓN Y ANÁLISIS DE LOS DATOS: Dos autores de la revisión, de forma independiente, evaluaron los resultados de la búsqueda en cuanto a su relevancia, realizaron la evaluación crítica según las guías conocidas y extrajeron los datos mediante un formulario predeterminado.

Resultados principales: Se identificaron cuatro ECA, que utilizaron diferentes tecnologías de imagenología intraoperatorias: la resonancia magnética (IRM) intraoperatoria (dos ensayos, con 58 y 14 participantes); la cirugía guiada por fluorescencia con ácido 5‐aminolevulínico (5‐ALA) (un ensayo, 322 participantes); y la neuronavegación (un ensayo, 45 participantes). Se identificó un ensayo en curso que evaluó la IRM con un tamaño de la muestra planificado de 304 participantes, del que se espera la publicación de los resultados alrededor del invierno de 2020. No se han identificado ensayos publicados sobre la ecografía intraoperatoria. Los metanálisis en red o los metanálisis tradicionales no fueron apropiados debido a la falta de ensayos homogéneos en tecnologías de imagenología. De los ensayos incluidos, hubo una notable heterogeneidad en la localización de los tumores y en las tecnologías de imagenología utilizadas en los brazos control. Hubo inquietudes significativas con respecto al riesgo de sesgo en todos los estudios incluidos. Un ensayo de IRM encontró un aumento en la extensión de la resección (razón de riesgos [RR] para la resección incompleta 0,13; intervalo de confianza [IC] del 95%: 0,02 a 0,96; 49 participantes; evidencia de certeza muy baja) y un ensayo de 5‐ALA (RR para la resección incompleta 0,55; IC del 95%: 0,42 a 0,71; 270 participantes; evidencia de certeza baja). El otro ensayo que evaluó la IRM se interrumpió de forma temprana después de un análisis intermedio no planificado que incluyó 14 participantes; por lo tanto, el ensayo proporciona evidencia de calidad muy baja. El ensayo de neuronavegación no proporcionó datos suficientes para evaluar los efectos sobre el grado de resección. El informe de los eventos adversos fue incompleto e indicó la presencia de sesgo de informe significativo (evidencia de certeza muy baja). En general, la proporción de eventos informados fue baja en la mayoría de los ensayos y, por lo tanto, pueden haber estado presentes o no problemas relacionados con el poder estadístico suficiente para detectar diferencias en los desenlaces. No se informó adecuadamente sobre los desenlaces de supervivencia, aunque un ensayo no informó evidencia de mejora en la supervivencia general con 5‐ALA (cociente de riesgos instantáneos [CRI] 0,82; IC del 95%: 0,62 a 1,07; 270 participantes; evidencia de certeza baja). Solo hubo datos disponibles sobre la calidad de vida de un estudio, con un sesgo de desgaste significativo (evidencia de certeza muy baja).

Conclusiones de los autores: Las tecnologías de imagenología intraoperatoria, específicamente la IRM y el 5‐ALA, pueden ser beneficiosas para maximizar el grado de resección en los participantes con glioma de grado alto. Sin embargo, lo anterior se basa en evidencia de certeza baja a muy baja. Por lo tanto, los efectos neurológicos a corto y a largo plazo no están claros. No están claros los efectos de la cirugía guiada por imágenes sobre la supervivencia general, la supervivencia sin progresión ni la calidad de vida. No fue posible realizar metanálisis en red ni tradicionales debido al alto riesgo de sesgo identificado, a la heterogeneidad y a los ensayos pequeños incluidos en esta revisión. Un comentario económico breve encontró evidencia económica limitada sobre el uso equívoco de la IRM en comparación con la cirugía convencional. En cuanto a los costos, una revisión no sistemática de estudios económicos indicó que, en comparación con la cirugía estándar, el uso de la cirugía guiada por imágenes no tiene un efecto claro sobre los costos y que el ácido 5‐aminolevulínico fue más costoso. Se necesitan estudios de investigación adicionales, incluida la finalización de los ensayos en curso sobre la cirugía guiada por ecografía.

Trial registration: ClinicalTrials.gov NCT01479686.

PubMed Disclaimer

Conflict of interest statement

DMF: funded with an NIHR Academic Clinical Fellowship and recipient of a Cancer Research UK Predoctoral Bursary AB: None known DGB: None known MW: None known MGH: None known HB: None known AK: None known CW: None known MDJ: None known

Figures

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Study flow diagram.
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Study flow diagram.
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Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
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Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
See this image and copyright information in PMC

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