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  1. Article: CDPNet: a radiomic feature learning method with epigenetic application to estimating MGMT promoter methylation status in glioblastoma.

    Guo, Jun / Yu, Fanyang / Nasrallah, MacLean P / Davatzikos, Christos

    Proceedings of SPIE--the International Society for Optical Engineering

    2024  Volume 12930

    Abstract: Radiomics has been widely recognized for its effectiveness in decoding tumor phenotypes through the extraction of quantitative imaging features. However, the robustness of radiomic methods to estimate clinically relevant biomarkers non-invasively remains ...

    Abstract Radiomics has been widely recognized for its effectiveness in decoding tumor phenotypes through the extraction of quantitative imaging features. However, the robustness of radiomic methods to estimate clinically relevant biomarkers non-invasively remains largely untested. In this study, we propose Cascaded Data Processing Network (CDPNet), a radiomic feature learning method to predict tumor molecular status from medical images. We apply CDPNet to an epigenetic case, specifically targeting the estimation of
    Language English
    Publishing date 2024-04-02
    Publishing country United States
    Document type Journal Article
    ISSN 0277-786X
    ISSN 0277-786X
    DOI 10.1117/12.3009716
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Molecular classification and grading of meningioma.

    Nasrallah, MacLean P / Aldape, Kenneth D

    Journal of neuro-oncology

    2023  Volume 161, Issue 2, Page(s) 373–381

    Abstract: Purpose: Meningiomas are the most common primary intracranial tumor in older adults (Ostrom et al. in Neuro Oncol 21(Suppl 5):v1-v100, 2019). Treatment is largely driven by, in addition to patient characteristics and extent of resection/Simpson grade, ... ...

    Abstract Purpose: Meningiomas are the most common primary intracranial tumor in older adults (Ostrom et al. in Neuro Oncol 21(Suppl 5):v1-v100, 2019). Treatment is largely driven by, in addition to patient characteristics and extent of resection/Simpson grade, the World Health Organization (WHO) grading of meningiomas. The current grading scheme, based predominantly on histologic features and only limited molecular characterization of these tumors (WHO Classification of Tumours Editorial Board, in: Central nervous system tumours, International Agency for Research on Cancer, Lyon, 2021), (Mirian et al. in J Neurol Neurosurg Psychiatry 91(4):379-387, 2020), does not consistently reflect the biologic behavior of meningiomas. This leads to both under-treatment and over-treatment of patients, and hence, suboptimal outcomes (Rogers et al. in Neuro Oncol 18(4):565-574). The goal of this review is to synthesize studies to date investigating molecular features of meningiomas as they relate to patient outcomes, in order to clarify best practices in assessing and, therefore, treating meningiomas.
    Methods: The available literature of genomic landscape and molecular features of in meningioma was screened using PubMed.
    Results: Greater understanding of meningiomas is reached by integrating histopathology, mutational analysis, DNA copy number changes, DNA methylation profiles, and potentially additional modalities to fully capture the clinical and biologic heterogeneity of these tumors.
    Conclusion: Diagnosis and classification of meningioma is best accomplished using a combination of histopathology with genomic and epigenomic factors. Future classification schemes may benefit from such an integrated approach.
    MeSH term(s) Humans ; Aged ; Meningioma/pathology ; Meningeal Neoplasms/pathology ; Central Nervous System Neoplasms ; Genomics ; Biological Products ; Neoplasm Grading ; Retrospective Studies
    Chemical Substances Biological Products
    Language English
    Publishing date 2023-02-18
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 604875-4
    ISSN 1573-7373 ; 0167-594X
    ISSN (online) 1573-7373
    ISSN 0167-594X
    DOI 10.1007/s11060-022-04228-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Neuropathology associated with SARS-CoV-2 infection.

    Nasrallah, MacLean P / Mourelatos, Zissimos / Lee, Edward B

    Lancet (London, England)

    2021  Volume 397, Issue 10271, Page(s) 277

    MeSH term(s) Brain ; COVID-19 ; Humans ; Nervous System Diseases ; SARS-CoV-2
    Language English
    Publishing date 2021-01-23
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(21)00096-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Commentary: "Zooming in" on Glioblastoma: Understanding Tumor Heterogeneity and Its Clinical Implications in the Era of Single-Cell Ribonucleic Acid Sequencing.

    Lucas, Alfredo / Eberwine, James H / Bagley, Stephen J / Fan, Yi / Nasrallah, MacLean P / Brem, Steven

    Neurosurgery

    2021  Volume 89, Issue 5, Page(s) E262–E263

    Language English
    Publishing date 2021-09-13
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 135446-2
    ISSN 1524-4040 ; 0148-396X
    ISSN (online) 1524-4040
    ISSN 0148-396X
    DOI 10.1093/neuros/nyab288
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Clinical Evaluation of IDH Mutation Status in Formalin-Fixed Paraffin-Embedded Tissue in Gliomas.

    Nelson, Ernest J / Gubbiotti, Maria A / Carlin, Alicia M / Nasrallah, MacLean P / Van Deerlin, Vivianna M / Herlihy, Sarah E

    Molecular diagnosis & therapy

    2023  Volume 27, Issue 3, Page(s) 371–381

    Abstract: Background and objective: Determination of isocitrate dehydrogenase (IDH) 1/2 mutational status is crucial for a glioma diagnosis. It is common for IDH mutational status to be determined via a two-step algorithm that utilizes immunohistochemistry ... ...

    Abstract Background and objective: Determination of isocitrate dehydrogenase (IDH) 1/2 mutational status is crucial for a glioma diagnosis. It is common for IDH mutational status to be determined via a two-step algorithm that utilizes immunohistochemistry studies for IDH1 R132H, the most frequent variant, followed by next-generation sequencing studies for immunohistochemistry-negative or immunohistochemistry-equivocal cases. The objective of this study was to evaluate adding a rapid real-time polymerase chain reaction (RT-PCR) assay to the testing algorithm.  METHODS: We validated a modified, commercial, qualitative, RT-PCR assay with the ability to detect 14 variants in IDH1/2 in formalin-fixed paraffin-embedded glioma tumor specimens. The assay was validated using 51 tumor formalin-fixed paraffin-embedded specimens. During clinical implementation of this assay, 48 brain tumor specimens were assessed for IDH result concordance and turnaround time to result.
    Results: Concordance between the RT-PCR and sequencing and IHC studies was 100%. This RT-PCR assay also showed concordant results with IHC for IDH1 R132H for 11 of the 12 (92%) tumor specimens with IDH mutations. The RT-PCR assay yielded faster results (average 2.6 days turnaround time) in comparison to sequencing studies (17.9 days), with complete concordance.
    Conclusions: In summary, we report that this RT-PCR assay can reliably be performed on formalin-fixed paraffin-embedded specimens and has a faster turnaround time than sequencing assays and can be clinically implemented for determination of IDH mutation status for patients with glioma.
    MeSH term(s) Humans ; Paraffin Embedding ; Isocitrate Dehydrogenase/genetics ; Glioma/genetics ; Brain Neoplasms/genetics ; Mutation ; Formaldehyde
    Chemical Substances Isocitrate Dehydrogenase (EC 1.1.1.41) ; Formaldehyde (1HG84L3525)
    Language English
    Publishing date 2023-01-23
    Publishing country New Zealand
    Document type Journal Article
    ZDB-ID 2232796-4
    ISSN 1179-2000 ; 1177-1062
    ISSN (online) 1179-2000
    ISSN 1177-1062
    DOI 10.1007/s40291-022-00638-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma.

    Nasrallah, MacLean P / Zhao, Junhan / Tsai, Cheng Che / Meredith, David / Marostica, Eliana / Ligon, Keith L / Golden, Jeffrey A / Yu, Kun-Hsing

    Med (New York, N.Y.)

    2023  Volume 4, Issue 8, Page(s) 526–540.e4

    Abstract: Background: Timely and accurate intraoperative cryosection evaluations remain the gold standard for guiding surgical treatments for gliomas. However, the tissue-freezing process often generates artifacts that make histologic interpretation difficult. In ...

    Abstract Background: Timely and accurate intraoperative cryosection evaluations remain the gold standard for guiding surgical treatments for gliomas. However, the tissue-freezing process often generates artifacts that make histologic interpretation difficult. In addition, the 2021 WHO Classification of Tumors of the Central Nervous System incorporates molecular profiles in the diagnostic categories, so standard visual evaluation of cryosections alone cannot completely inform diagnoses based on the new classification system.
    Methods: To address these challenges, we develop the context-aware Cryosection Histopathology Assessment and Review Machine (CHARM) using samples from 1,524 glioma patients from three different patient populations to systematically analyze cryosection slides.
    Findings: Our CHARM models successfully identified malignant cells (AUROC = 0.98 ± 0.01 in the independent validation cohort), distinguished isocitrate dehydrogenase (IDH)-mutant tumors from wild type (AUROC = 0.79-0.82), classified three major types of molecularly defined gliomas (AUROC = 0.88-0.93), and identified the most prevalent subtypes of IDH-mutant tumors (AUROC = 0.89-0.97). CHARM further predicts clinically important genetic alterations in low-grade glioma, including ATRX, TP53, and CIC mutations, CDKN2A/B homozygous deletion, and 1p/19q codeletion via cryosection images.
    Conclusions: Our approaches accommodate the evolving diagnostic criteria informed by molecular studies, provide real-time clinical decision support, and will democratize accurate cryosection diagnoses.
    Funding: Supported in part by the National Institute of General Medical Sciences grant R35GM142879, the Google Research Scholar Award, the Blavatnik Center for Computational Biomedicine Award, the Partners' Innovation Discovery Grant, and the Schlager Family Award for Early Stage Digital Health Innovations.
    MeSH term(s) Humans ; Brain Neoplasms/diagnosis ; Brain Neoplasms/genetics ; Homozygote ; Sequence Deletion ; Glioma/diagnosis ; Glioma/genetics ; Machine Learning ; World Health Organization
    Language English
    Publishing date 2023-07-07
    Publishing country United States
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ISSN 2666-6340
    ISSN (online) 2666-6340
    DOI 10.1016/j.medj.2023.06.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration.

    Venet, Ludovic / Pati, Sarthak / Feldman, Michael D / Nasrallah, MacLean P / Yushkevich, Paul / Bakas, Spyridon

    Applied sciences (Basel, Switzerland)

    2021  Volume 11, Issue 4

    Abstract: Histopathologic assessment routinely provides rich microscopic information about tissue structure and disease process. However, the sections used are very thin, and essentially capture only 2D representations of a certain tissue sample. Accurate and ... ...

    Abstract Histopathologic assessment routinely provides rich microscopic information about tissue structure and disease process. However, the sections used are very thin, and essentially capture only 2D representations of a certain tissue sample. Accurate and robust alignment of sequentially cut 2D slices should contribute to more comprehensive assessment accounting for surrounding 3D information. Towards this end, we here propose a two-step diffeomorphic registration approach that aligns differently stained histology slides to each other, starting with an initial affine step followed by estimating a deformation field. It was quantitatively evaluated on ample (
    Language English
    Publishing date 2021-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704225-X
    ISSN 2076-3417
    ISSN 2076-3417
    DOI 10.3390/app11041892
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: An unusual case of metastatic diffuse midline glioma in an adult.

    Gubbiotti, Maria A / Dhillon, Kiratpreet Singh / Harris, Jaryse / Kothari, Shawn / Ware, Jeffrey B / Desai, Arati / Shabason, Jacob / Miettinen, Markku / Quezado, Martha / Aldape, Kenneth / Judy, Kevin / Wang, Zi-Xuan / Curtis, Mark T / Nasrallah, MacLean P

    Journal of neuropathology and experimental neurology

    2023  Volume 82, Issue 7, Page(s) 659–663

    MeSH term(s) Humans ; Adult ; Glioma/pathology ; Brain Neoplasms/diagnostic imaging ; Brain Neoplasms/pathology ; Mutation
    Language English
    Publishing date 2023-04-18
    Publishing country England
    Document type Case Reports ; Letter
    ZDB-ID 3088-0
    ISSN 1554-6578 ; 0022-3069
    ISSN (online) 1554-6578
    ISSN 0022-3069
    DOI 10.1093/jnen/nlad032
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  9. Article: MRI-Based Radiomics Combined with Deep Learning for Distinguishing IDH-Mutant WHO Grade 4 Astrocytomas from IDH-Wild-Type Glioblastomas.

    Hosseini, Seyyed Ali / Hosseini, Elahe / Hajianfar, Ghasem / Shiri, Isaac / Servaes, Stijn / Rosa-Neto, Pedro / Godoy, Laiz / Nasrallah, MacLean P / O'Rourke, Donald M / Mohan, Suyash / Chawla, Sanjeev

    Cancers

    2023  Volume 15, Issue 3

    Abstract: This study aimed to investigate the potential of quantitative radiomic data extracted from conventional MR images in discriminating IDH-mutant grade 4 astrocytomas from IDH-wild-type glioblastomas (GBMs). A cohort of 57 treatment-naïve patients with IDH- ... ...

    Abstract This study aimed to investigate the potential of quantitative radiomic data extracted from conventional MR images in discriminating IDH-mutant grade 4 astrocytomas from IDH-wild-type glioblastomas (GBMs). A cohort of 57 treatment-naïve patients with IDH-mutant grade 4 astrocytomas (
    Language English
    Publishing date 2023-02-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers15030951
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  10. Article ; Online: Intraoperative cytology of pituicytomas.

    Viaene, Angela N / Lee, Edward B / Nasrallah, MacLean P

    Diagnostic cytopathology

    2019  Volume 48, Issue 4, Page(s) 342–349

    Abstract: Background: Pituicytoma is a rare tumor of the sella and suprasellar region. It is common for these tumors to be misdiagnosed radiographically as pituitary adenomas, meningiomas, and craniopharyngiomas. Histologically, pituicytomas are also known to ... ...

    Abstract Background: Pituicytoma is a rare tumor of the sella and suprasellar region. It is common for these tumors to be misdiagnosed radiographically as pituitary adenomas, meningiomas, and craniopharyngiomas. Histologically, pituicytomas are also known to show variable morphology. These factors often complicate intraoperative consultation, especially when tissue is limited.
    Methods: A database search (January 1990-June 2019) identified 13 surgically resected pituicytomas that were sent for intraoperative consultation. The intraoperative cytology was reviewed by two pathologists, and both squash preparations/smears and touch preparations were included.
    Results: The cytological features of pituicytomas were variable. The cytoplasm ranged from fibrillary to fine and wispy. The nuclei were round to ovoid with occasional tumors showing spindled morphology. Small nucleoli were seen in all tumors, and chromatin was fine to vesicular. While squash preparations were cellular and revealed cohesive groups of tumor cells, touch preparations were often paucicellular with the exception of one tumor. The cytological features of pituicytomas are compared to those of other tumors with similar radiographic appearances.
    Conclusions: Our findings illustrate the range of cytological features of these rare tumors and highlight the difficulty in making a definitive intraoperative diagnosis. Pituicytomas should be considered in the differential of a sellar/suprasellar lesion with glial and meningioma-like cytological features.
    MeSH term(s) Adult ; Aged ; Female ; Humans ; Intraoperative Care ; Male ; Middle Aged ; Pituitary Neoplasms/diagnosis ; Pituitary Neoplasms/pathology ; Pituitary Neoplasms/surgery
    Language English
    Publishing date 2019-12-28
    Publishing country United States
    Document type Clinical Trial ; Journal Article ; Multicenter Study
    ZDB-ID 632710-2
    ISSN 1097-0339 ; 8755-1039
    ISSN (online) 1097-0339
    ISSN 8755-1039
    DOI 10.1002/dc.24372
    Database MEDical Literature Analysis and Retrieval System OnLINE

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