Early prediction of response to neoadjuvant chemotherapy in breast cancer patients: comparison of single-voxel 1H-magnetic resonance spectroscopy and 18F-fluorodeoxyglucose positron emission tomography
Creators
- 1. Seoul National University Medical Research Center, Institute of Radiation Medicine, Seoul (Korea, Republic of)
- 2. Seoul National University College of Medicine, Department of Radiology, 103 Daehak-ro, Jongno-gu, Seoul (Korea, Republic of)
- 3. Seoul National University Hospital, Department of Radiology, 101 Daehak-ro, Jongno-gu, Seoul (Korea, Republic of)
- 4. Seoul National University Hospital, Department of Internal Medicine, Seoul (Korea, Republic of)
- 5. Seoul National University, Cancer Research Institute, Seoul (Korea, Republic of)
- 6. Seoul National College of Medicine, Department of Nuclear Medicine, Seoul (Korea, Republic of)
- 7. Seoul National University Hospital, Department of Pathology, Seoul (Korea, Republic of)
- 8. Kangwon National University, Department of Nuclear Medicine, School of Medicine, Chuncheon, Gangwon-do (Korea, Republic of)
- 9. Ewha Woman's University, Department of Nuclear Medicine, Seoul (Korea, Republic of)
Description
To prospectively compare performances of single-voxel proton magnetic resonance spectroscopy (1H-MRS) and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) in predicting pathologic response to neoadjuvant chemotherapy (NAC) in breast cancer patients. Thirty-five breast cancer patients who received NAC and subsequent surgery were prospectively enrolled. MRS and FDG-PET were performed before and after the 1st NAC cycle. Percentage changes of total choline-containing compounds (tCho) via MRS, and maximum and peak standardized uptake values (SUVmax, SUVpeak) and total lesion glycolysis (TLG) via FDG-PET were measured, and their performances in predicting pathologic complete response (pCR) were compared. Of the 35 patients, 6 showed pCR and 29 showed non-pCR. Mean % reductions of tCho, SUVmax, SUVpeak, and TLG of the pCR group were larger than those of the non-pCR group (-80.3 ± 13.9 % vs. -32.1 ± 49.4 %, P = 0.025; -54.7 ± 22.1 % vs. -26.3 ± 33.7 %, P = 0.058; -60.7 ± 18.3 % vs. -32.3 ± 23.3 %, P = 0.009; -89.5 ± 8.5 % vs. -52.6 ± 36.2 %, P = 0.020). Diagnostic accuracy (area under ROC curve; Az, 0.911) of the % reduction of tCho was comparable to those of %SUVmax (0.822), SUVpeak (0.862), and TLG (0.879) in distinguishing pCR from non-pCR (all P > 0.05). MRS showed comparable performance to FDG-PET in early prediction of pCR in breast cancer patients. (orig.)
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00330-015-4014-7Additional details
Identifiers
Publishing Information
- Journal Title
- European Radiology
- Journal Volume
- 26
- Journal Issue
- 7
- Journal Page Range
- p. 2279-2290
- ISSN
- 0938-7994
- CODEN
- EURAE3
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 47097958
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOLOGICAL MARKERS; CARCINOMAS; CHEMICAL SHIFT; CHEMOTHERAPY; CHOLINE; COMPUTERIZED TOMOGRAPHY; CONTRAST MEDIA; EPIDERMIS; FLUORINE 18; FLUORODEOXYGLUCOSE; GROWTH FACTORS; HYDROGEN 1; MAMMARY GLANDS; NMR SPECTRA; PATHOLOGICAL CHANGES; PHANTOMS; POSITRON COMPUTED TOMOGRAPHY; RADIOPHARMACEUTICALS; SENSITIVITY; SPECIFICITY; UPTAKE
- Descriptors DEC
- ALCOHOLS; AMMONIUM COMPOUNDS; ANIMAL TISSUES; ANTIMETABOLITES; BETA DECAY RADIOISOTOPES; BETA-PLUS DECAY RADIOISOTOPES; BODY; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; DRUGS; EMISSION COMPUTED TOMOGRAPHY; EPITHELIUM; FLUORINE ISOTOPES; GLANDS; HOURS LIVING RADIOISOTOPES; HYDROGEN ISOTOPES; HYDROXY COMPOUNDS; ISOMERIC TRANSITION ISOTOPES; ISOTOPES; LABELLED COMPOUNDS; LIGHT NUCLEI; LIPOTROPIC FACTORS; MATERIALS; MEDICINE; MITOGENS; MOCKUP; NANOSECONDS LIVING RADIOISOTOPES; NEOPLASMS; NUCLEI; ODD-EVEN NUCLEI; ODD-ODD NUCLEI; ORGANIC COMPOUNDS; ORGANS; PROTEINS; QUATERNARY AMMONIUM COMPOUNDS; RADIOACTIVE MATERIALS; RADIOISOTOPES; SKIN; SPECTRA; STABLE ISOTOPES; STRUCTURAL MODELS; THERAPY; TOMOGRAPHY