Skip to main content
Erschienen in: Journal of Neuro-Oncology 1/2024

10.02.2024 | Case Study

Incidence and imaging characteristics of difficult to detect retrospectively identified brain metastases in patients receiving repeat courses of stereotactic radiosurgery

verfasst von: Andrew Fairchild, Joseph K. Salama, Devon Godfrey, Walter F. Wiggins, Bradley G. Ackerson, Taofik Oyekunle, Donna Niedzwiecki, Peter E. Fecci, John P. Kirkpatrick, Scott R. Floyd

Erschienen in: Journal of Neuro-Oncology | Ausgabe 1/2024

Einloggen, um Zugang zu erhalten

Abstract

Purpose

During stereotactic radiosurgery (SRS) planning for brain metastases (BM), brain MRIs are reviewed to select appropriate targets based on radiographic characteristics. Some BM are difficult to detect and/or definitively identify and may go untreated initially, only to become apparent on future imaging. We hypothesized that in patients receiving multiple courses of SRS, reviewing the initial planning MRI would reveal early evidence of lesions that developed into metastases requiring SRS.

Methods

Patients undergoing two or more courses of SRS to BM within 6 months between 2016 and 2018 were included in this single-institution, retrospective study. Brain MRIs from the initial course were reviewed for lesions at the same location as subsequently treated metastases; if present, this lesion was classified as a “retrospectively identified metastasis” or RIM. RIMs were subcategorized as meeting or not meeting diagnostic imaging criteria for BM (+ DC or -DC, respectively).

Results

Among 683 patients undergoing 923 SRS courses, 98 patients met inclusion criteria. There were 115 repeat courses of SRS, with 345 treated metastases in the subsequent course, 128 of which were associated with RIMs found in a prior MRI. 58% of RIMs were + DC. 17 (15%) of subsequent courses consisted solely of metastases associated with + DC RIMs.

Conclusion

Radiographic evidence of brain metastases requiring future treatment was occasionally present on brain MRIs from prior SRS treatments. Most RIMs were + DC, and some subsequent SRS courses treated only + DC RIMs. These findings suggest enhanced BM detection might enable earlier treatment and reduce the need for additional SRS.
Literatur
1.
Zurück zum Zitat Brown PD, Ballman KV, Cerhan JH et al (2017) Postoperative stereotactic radiosurgery compared with whole brain radiotherapy for resected metastatic brain disease (NCCTG N107C/CEC·3): a multicentre, randomised, controlled, phase 3 trial. Lancet Oncol 18(8):1049–1060CrossRefPubMedPubMedCentral Brown PD, Ballman KV, Cerhan JH et al (2017) Postoperative stereotactic radiosurgery compared with whole brain radiotherapy for resected metastatic brain disease (NCCTG N107C/CEC·3): a multicentre, randomised, controlled, phase 3 trial. Lancet Oncol 18(8):1049–1060CrossRefPubMedPubMedCentral
2.
Zurück zum Zitat Brown PD, Jaeckle K, Ballman KV et al (2016) Effect of radiosurgery alone vs radiosurgery with whole brain radiation therapy on cognitive function in patients with 1 to 3 brain metastases. JAMA 316(4):401CrossRefPubMedPubMedCentral Brown PD, Jaeckle K, Ballman KV et al (2016) Effect of radiosurgery alone vs radiosurgery with whole brain radiation therapy on cognitive function in patients with 1 to 3 brain metastases. JAMA 316(4):401CrossRefPubMedPubMedCentral
3.
Zurück zum Zitat Li J, Ludmir E, Wang Y et al (2020) Stereotactic radiosurgery versus whole-brain radiation therapy for patients with 4–15 brain metastases: a phase III randomized controlled trial. Int J Radiat Oncol Biol Phys 108(3):S21–S22CrossRef Li J, Ludmir E, Wang Y et al (2020) Stereotactic radiosurgery versus whole-brain radiation therapy for patients with 4–15 brain metastases: a phase III randomized controlled trial. Int J Radiat Oncol Biol Phys 108(3):S21–S22CrossRef
4.
Zurück zum Zitat Chang EL, Wefel JS, Hess KR et al (2009) Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncol 10(11):1037–1044CrossRefPubMed Chang EL, Wefel JS, Hess KR et al (2009) Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: a randomised controlled trial. Lancet Oncol 10(11):1037–1044CrossRefPubMed
5.
Zurück zum Zitat Kaufmann TJ, Smits M, Boxerman J et al (2020) Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 22(6):757–772CrossRefPubMedPubMedCentral Kaufmann TJ, Smits M, Boxerman J et al (2020) Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 22(6):757–772CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Sunwoo L, Kim YJ, Choi SH et al (2017) Computer-aided detection of brain metastasis on 3D MR imaging: observer performance study. Plos One 12:e0178265CrossRefPubMedPubMedCentral Sunwoo L, Kim YJ, Choi SH et al (2017) Computer-aided detection of brain metastasis on 3D MR imaging: observer performance study. Plos One 12:e0178265CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Farjam R, Parmar HA, Noll DC, Tsien CI, Cao Y (2012) An approach for computer-aided detection of brain metastases in post-Gd T1-W MRI. Magn Reson Imaging 30(6):824–836CrossRefPubMedPubMedCentral Farjam R, Parmar HA, Noll DC, Tsien CI, Cao Y (2012) An approach for computer-aided detection of brain metastases in post-Gd T1-W MRI. Magn Reson Imaging 30(6):824–836CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Pérez-Ramírez Ú, Arana E, Moratal D (2016) Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching. J Magn Reson Imaging 44(3):642–652CrossRefPubMed Pérez-Ramírez Ú, Arana E, Moratal D (2016) Brain metastases detection on MR by means of three-dimensional tumor-appearance template matching. J Magn Reson Imaging 44(3):642–652CrossRefPubMed
9.
Zurück zum Zitat Togao O, Hiwatashi A, Yamashita K et al (2014) Additional MR contrast dosage for radiologists’ diagnostic performance in detecting brain metastases: a systematic observer study at 3 T. Jpn J Radiol 32:537–544CrossRefPubMed Togao O, Hiwatashi A, Yamashita K et al (2014) Additional MR contrast dosage for radiologists’ diagnostic performance in detecting brain metastases: a systematic observer study at 3 T. Jpn J Radiol 32:537–544CrossRefPubMed
15.
Zurück zum Zitat Qian Z, Li Y, Wang Y et al (2019) Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers. Cancer Lett 451:128–135CrossRefPubMed Qian Z, Li Y, Wang Y et al (2019) Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers. Cancer Lett 451:128–135CrossRefPubMed
16.
Zurück zum Zitat Grøvik E, Yi D, Iv M et al (2021) Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. NPJ Digit Med 4(1):33CrossRefPubMedPubMedCentral Grøvik E, Yi D, Iv M et al (2021) Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study. NPJ Digit Med 4(1):33CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Zhou Z, Sanders JW, Johnson JM et al (2020) Computer-aided detection of brain metastases in T1-weighted MRI for stereotactic radiosurgery using deep learning single-shot detectors. Radiology 295(2):407–415CrossRefPubMed Zhou Z, Sanders JW, Johnson JM et al (2020) Computer-aided detection of brain metastases in T1-weighted MRI for stereotactic radiosurgery using deep learning single-shot detectors. Radiology 295(2):407–415CrossRefPubMed
18.
19.
Zurück zum Zitat Rudie JD, Weiss DA, Colby JB et al (2021) Three-dimensional U-net convolutional neural network for detection and segmentation of intracranial metastases. Radiol Artif Intell 3(3):e200204CrossRefPubMedPubMedCentral Rudie JD, Weiss DA, Colby JB et al (2021) Three-dimensional U-net convolutional neural network for detection and segmentation of intracranial metastases. Radiol Artif Intell 3(3):e200204CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Salim M, Wahlin E, Dembrower K et al (2020) External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol 6:1581–1588CrossRefPubMedPubMedCentral Salim M, Wahlin E, Dembrower K et al (2020) External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms. JAMA Oncol 6:1581–1588CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Fairchild AT, Salama JK, Wiggins WF et al (2023) A deep learning-based Computer Aided Detection (CAD) system for difficult-to-detect brain metastases. Int J Radiat Oncol Biol Phys 115(3):779–793CrossRefPubMed Fairchild AT, Salama JK, Wiggins WF et al (2023) A deep learning-based Computer Aided Detection (CAD) system for difficult-to-detect brain metastases. Int J Radiat Oncol Biol Phys 115(3):779–793CrossRefPubMed
23.
Zurück zum Zitat NRG Oncology. Testing the addition of whole brain radiotherapy using a technique that avoids the hippocampus to stereotactic radiosurgery in people with cancer that has spread to the brain and come back in other areas of the brain after earlier stereotactic radiosurgery. ClinicalTrials.gov identifier: NCT04588246. Updated January 10, 2024. https://www.clinicaltrials.gov/study/NCT04588246. Accessed 20 Jan 2024 NRG Oncology. Testing the addition of whole brain radiotherapy using a technique that avoids the hippocampus to stereotactic radiosurgery in people with cancer that has spread to the brain and come back in other areas of the brain after earlier stereotactic radiosurgery. ClinicalTrials.gov identifier: NCT04588246. Updated January 10, 2024. https://​www.​clinicaltrials.​gov/​study/​NCT04588246. Accessed 20 Jan 2024
Metadaten
Titel
Incidence and imaging characteristics of difficult to detect retrospectively identified brain metastases in patients receiving repeat courses of stereotactic radiosurgery
verfasst von
Andrew Fairchild
Joseph K. Salama
Devon Godfrey
Walter F. Wiggins
Bradley G. Ackerson
Taofik Oyekunle
Donna Niedzwiecki
Peter E. Fecci
John P. Kirkpatrick
Scott R. Floyd
Publikationsdatum
10.02.2024
Verlag
Springer US
Erschienen in
Journal of Neuro-Oncology / Ausgabe 1/2024
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-024-04594-6

Weitere Artikel der Ausgabe 1/2024

Journal of Neuro-Oncology 1/2024 Zur Ausgabe

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Nicht Creutzfeldt Jakob, sondern Abführtee-Vergiftung

29.05.2024 Hyponatriämie Nachrichten

Eine ältere Frau trinkt regelmäßig Sennesblättertee gegen ihre Verstopfung. Der scheint plötzlich gut zu wirken. Auf Durchfall und Erbrechen folgt allerdings eine Hyponatriämie. Nach deren Korrektur kommt es plötzlich zu progredienten Kognitions- und Verhaltensstörungen.

Schutz der Synapsen bei Alzheimer

29.05.2024 Morbus Alzheimer Nachrichten

Mit einem Neurotrophin-Rezeptor-Modulator lässt sich möglicherweise eine bestehende Alzheimerdemenz etwas abschwächen: Erste Phase-2-Daten deuten auf einen verbesserten Synapsenschutz.

Sozialer Aufstieg verringert Demenzgefahr

24.05.2024 Demenz Nachrichten

Ein hohes soziales Niveau ist mit die beste Versicherung gegen eine Demenz. Noch geringer ist das Demenzrisiko für Menschen, die sozial aufsteigen: Sie gewinnen fast zwei demenzfreie Lebensjahre. Umgekehrt steigt die Demenzgefahr beim sozialen Abstieg.

Hirnblutung unter DOAK und VKA ähnlich bedrohlich

17.05.2024 Direkte orale Antikoagulanzien Nachrichten

Kommt es zu einer nichttraumatischen Hirnblutung, spielt es keine große Rolle, ob die Betroffenen zuvor direkt wirksame orale Antikoagulanzien oder Marcumar bekommen haben: Die Prognose ist ähnlich schlecht.

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.