Home > Publications database > Whole-Brain Intracellular pH Mapping of Gliomas Using High-Resolution 31P MR Spectroscopic Imaging at 7.0 T. > print |
001 | 286590 | ||
005 | 20240229155126.0 | ||
024 | 7 | _ | |a 10.1148/rycan.220127 |2 doi |
024 | 7 | _ | |a pmid:38133553 |2 pmid |
024 | 7 | _ | |a altmetric:157720332 |2 altmetric |
037 | _ | _ | |a DKFZ-2023-02807 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Paech, Daniel |0 P:(DE-He78)c6e31fb8f19e185e254174554a0cccfc |b 0 |e First author |u dkfz |
245 | _ | _ | |a Whole-Brain Intracellular pH Mapping of Gliomas Using High-Resolution 31P MR Spectroscopic Imaging at 7.0 T. |
260 | _ | _ | |a Oak Brook, IL |c 2023 |b RSNA, Radiological Society of North America |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1703765476_2100 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a #EA:E010#LA:E020# |
520 | _ | _ | |a Malignant tumors commonly exhibit a reversed pH gradient compared with normal tissue, with a more acidic extracellular pH and an alkaline intracellular pH (pHi). In this prospective study, pHi values in gliomas were quantified using high-resolution phosphorous 31 (31P) spectroscopic MRI at 7.0 T and were used to correlate pHi alterations with histopathologic findings. A total of 12 participants (mean age, 58 years ± 18 [SD]; seven male, five female) with histopathologically proven, newly diagnosed glioma were included between September 2018 and November 2019. The 31P spectroscopic MRI scans were acquired using a double-resonant 31P/1H phased-array head coil together with a three-dimensional (3D) 31P chemical shift imaging sequence (5.7-mL voxel volume) performed with a 7.0-T whole-body system. The 3D volumetric segmentations were performed for the whole-tumor volumes (WTVs); tumor subcompartments of necrosis, gadolinium enhancement, and nonenhancing T2 (NCE T2) hyperintensity; and normal-appearing white matter (NAWM), and pHi values were compared. Spearman correlation was used to assess association between pHi and the proliferation index Ki-67. For all study participants, mean pHi values were higher in the WTV (7.057 ± 0.024) compared with NAWM (7.006 ± 0.012; P < .001). In eight participants with high-grade gliomas, pHi was increased in all tumor subcompartments (necrosis, 7.075 ± 0.033; gadolinium enhancement, 7.075 ± 0.024; NCE T2 hyperintensity, 7.043 ± 0.015) compared with NAWM (7.004 ± 0.014; all P < .01). The pHi values of WTV positively correlated with Ki-67 (R2 = 0.74, r = 0.78, P = .001). In conclusion, 31P spectroscopic MRI at 7.0 T enabled high-resolution quantification of pHi in gliomas, with pHi alteration associated with the Ki-67 proliferation index, and may aid in diagnosis and treatment monitoring. Keywords: 31P MRSI, pH, Glioma, Glioblastoma, Ultra-High-Field MRI, Imaging Biomarker, 7 Tesla Supplemental material is available for this article. © RSNA, 2023. |
536 | _ | _ | |a 315 - Bildgebung und Radioonkologie (POF4-315) |0 G:(DE-HGF)POF4-315 |c POF4-315 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
650 | _ | 7 | |a 31P MRSI |2 Other |
650 | _ | 7 | |a 7 Tesla |2 Other |
650 | _ | 7 | |a Glioblastoma |2 Other |
650 | _ | 7 | |a Glioma |2 Other |
650 | _ | 7 | |a Imaging Biomarker |2 Other |
650 | _ | 7 | |a Ultra-High-Field MRI |2 Other |
650 | _ | 7 | |a pH |2 Other |
650 | _ | 7 | |a Contrast Media |2 NLM Chemicals |
650 | _ | 7 | |a Gadolinium |0 AU0V1LM3JT |2 NLM Chemicals |
650 | _ | 7 | |a Ki-67 Antigen |2 NLM Chemicals |
650 | _ | 2 | |a Male |2 MeSH |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Female |2 MeSH |
650 | _ | 2 | |a Middle Aged |2 MeSH |
650 | _ | 2 | |a Contrast Media |2 MeSH |
650 | _ | 2 | |a Prospective Studies |2 MeSH |
650 | _ | 2 | |a Gadolinium |2 MeSH |
650 | _ | 2 | |a Ki-67 Antigen |2 MeSH |
650 | _ | 2 | |a Brain Neoplasms: diagnostic imaging |2 MeSH |
650 | _ | 2 | |a Glioma: diagnostic imaging |2 MeSH |
650 | _ | 2 | |a Magnetic Resonance Imaging: methods |2 MeSH |
650 | _ | 2 | |a Brain: pathology |2 MeSH |
650 | _ | 2 | |a Necrosis |2 MeSH |
650 | _ | 2 | |a Hydrogen-Ion Concentration |2 MeSH |
700 | 1 | _ | |a Weckesser, Nina |0 P:(DE-He78)e9deaa758e8af7948e97a28aaf0bb7d1 |b 1 |e First author |u dkfz |
700 | 1 | _ | |a Franke, Vanessa |0 P:(DE-He78)aa7c5ddf01ae4204a9724ad52583db88 |b 2 |u dkfz |
700 | 1 | _ | |a Breitling, Johannes |0 P:(DE-He78)8a54e49721e8ba58de289702bad026d9 |b 3 |
700 | 1 | _ | |a Görke, Steffen |0 P:(DE-He78)802bc375f8583fdb15ccd0abf30c1bfe |b 4 |
700 | 1 | _ | |a Deike-Hofmann, Katerina |0 P:(DE-He78)34255b119acbf293af0239d8f85ce24e |b 5 |
700 | 1 | _ | |a Wick, Antje |0 0000-0003-0020-6386 |b 6 |
700 | 1 | _ | |a Scherer, Moritz |0 0000-0003-1203-9351 |b 7 |
700 | 1 | _ | |a Unterberg, Andreas |b 8 |
700 | 1 | _ | |a Wick, Wolfgang |b 9 |
700 | 1 | _ | |a Bendszus, Martin |b 10 |
700 | 1 | _ | |a Bachert, Peter |0 P:(DE-He78)29b2f01310f7022916255ddba2750f9b |b 11 |u dkfz |
700 | 1 | _ | |a Ladd, Mark |0 P:(DE-He78)022611a2317e4de40fd912e0a72293a8 |b 12 |u dkfz |
700 | 1 | _ | |a Schlemmer, Heinz-Peter |0 P:(DE-He78)3d04c8fee58c9ab71f62ff80d06b6fec |b 13 |u dkfz |
700 | 1 | _ | |a Korzowski, Andreas |0 P:(DE-He78)577a5c61f44b8023e229610afbc7cd4e |b 14 |e Last author |u dkfz |
773 | _ | _ | |a 10.1148/rycan.220127 |g Vol. 6, no. 1, p. e220127 |0 PERI:(DE-600)2986040-4 |n 1 |p e220127 |t Radiology / Imaging cancer |v 6 |y 2024 |x 2638-616X |
909 | C | O | |o oai:inrepo02.dkfz.de:286590 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)c6e31fb8f19e185e254174554a0cccfc |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)e9deaa758e8af7948e97a28aaf0bb7d1 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 2 |6 P:(DE-He78)aa7c5ddf01ae4204a9724ad52583db88 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 3 |6 P:(DE-He78)8a54e49721e8ba58de289702bad026d9 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 4 |6 P:(DE-He78)802bc375f8583fdb15ccd0abf30c1bfe |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 5 |6 P:(DE-He78)34255b119acbf293af0239d8f85ce24e |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 11 |6 P:(DE-He78)29b2f01310f7022916255ddba2750f9b |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 12 |6 P:(DE-He78)022611a2317e4de40fd912e0a72293a8 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 13 |6 P:(DE-He78)3d04c8fee58c9ab71f62ff80d06b6fec |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 14 |6 P:(DE-He78)577a5c61f44b8023e229610afbc7cd4e |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-315 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Bildgebung und Radioonkologie |x 0 |
914 | 1 | _ | |y 2023 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b RADIOL-IMAG CANCER : 2022 |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0320 |2 StatID |b PubMed Central |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2023-08-24 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0112 |2 StatID |b Emerging Sources Citation Index |d 2023-08-24 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-08-24 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-08-24 |
920 | 2 | _ | |0 I:(DE-He78)E020-20160331 |k E020 |l E020 Med. Physik in der Radiologie |x 0 |
920 | 1 | _ | |0 I:(DE-He78)E010-20160331 |k E010 |l E010 Radiologie |x 0 |
920 | 1 | _ | |0 I:(DE-He78)E020-20160331 |k E020 |l E020 Med. Physik in der Radiologie |x 1 |
920 | 0 | _ | |0 I:(DE-He78)E010-20160331 |k E010 |l E010 Radiologie |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)E010-20160331 |
980 | _ | _ | |a I:(DE-He78)E020-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|