Lola Koktysh

MRI
Quantitative imaging biomarkers show promise for NASH
Quantitative imaging biomarkers are a promising approach for evaluating normal biological or pathogenic processes, as well as response to treatment and intervention. One near-term clinical application is the assessment of nonalcoholic steatohepatitis (NASH), according to Lola Koktysh of ScienceSoft.
March 6, 2017
2017 03 06 17 07 58 262 Man Liver 400
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Caption: Representative images show emphysema and functional lung maps derived by CT and PREFUL-MRI: (A–C) CT-derived emphysema images, (D–F) perfusion maps, (G–I) regional ventilation maps, (J–L) flow-volume loop correlation metric maps, (M–O) ventilation/perfusion combined parameter maps. (A, D, G, J, M) Images in a 63-year-old male with normal spirometry: FEV1%pred = 89.0%, FEV1/FVC = 0.73; emphysema percentage = 0.2%, QDP = 7%, VDPRVent = 2%, VDPFVL-CM = 1%. (B, E, H, K, N) Images in a 65-year-old female with PRISm + RP: FEV1%pred = 71.2%, FVC %pred = 76.8%, FEV1/FVC = 0.76; emphysema percentage = 4.7%, QDP = 10%, VD-PRVent = 18%, VDPFVL-CM = 6%. (C, F, I, L, O) Images in a 57-year-old male with AO: FEV1%pred = 56.8%, FEV1/FVC = 0.52; emphysema = 11.1%, QDP = 31%, VDPRVent = 33%, VDPFVL-CM = 41%. AO = airflow obstruction, FEV1 = forced expiratory volume in 1 second, FVC = forced vital capacity, FVL-CM = flow-volume loop correlation metric, %pred = percent predicted, PREFUL = phase-resolved function lung, PRISm = preserved ratio impaired spirometry, QDP = perfusion defect percentage, RVent = regional ventilation, VDP = ventilation defect percentage.
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MRI finds perfusion defects across a range of lung impairments
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AI detects lung cancer nodules well but shows low specificity
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Women's Imaging MinnieCast, Episode 10: To treat or not to treat DCIS?
By Amerigo Allegretto
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MRI finds perfusion defects across a range of lung impairments
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Impaired lung function is associated with increased pulmonary perfusion defects detectable by a particular MRI technique.
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Caption: Representative images show emphysema and functional lung maps derived by CT and PREFUL-MRI: (A–C) CT-derived emphysema images, (D–F) perfusion maps, (G–I) regional ventilation maps, (J–L) flow-volume loop correlation metric maps, (M–O) ventilation/perfusion combined parameter maps. (A, D, G, J, M) Images in a 63-year-old male with normal spirometry: FEV1%pred = 89.0%, FEV1/FVC = 0.73; emphysema percentage = 0.2%, QDP = 7%, VDPRVent = 2%, VDPFVL-CM = 1%. (B, E, H, K, N) Images in a 65-year-old female with PRISm + RP: FEV1%pred = 71.2%, FVC %pred = 76.8%, FEV1/FVC = 0.76; emphysema percentage = 4.7%, QDP = 10%, VD-PRVent = 18%, VDPFVL-CM = 6%. (C, F, I, L, O) Images in a 57-year-old male with AO: FEV1%pred = 56.8%, FEV1/FVC = 0.52; emphysema = 11.1%, QDP = 31%, VDPRVent = 33%, VDPFVL-CM = 41%. AO = airflow obstruction, FEV1 = forced expiratory volume in 1 second, FVC = forced vital capacity, FVL-CM = flow-volume loop correlation metric, %pred = percent predicted, PREFUL = phase-resolved function lung, PRISm = preserved ratio impaired spirometry, QDP = perfusion defect percentage, RVent = regional ventilation, VDP = ventilation defect percentage.
AI detects lung cancer nodules well but shows low specificity
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The finding suggests the models offer “a potential role as adjunctive tools for ruling out malignancy” rather than classifying it.
June 4, 2026
Am 2020 06 26 16 29 2945 Cancer Lung 400
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Cardiac stress test imaging comparison showing DeepAC and CT-based attenuation correction scans for two patients with quantitative perfusion data.
Image-guided focal laser ablation effective for prostate cancer
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MRI-directed, ultrasound-guided TPLA may be a promising technique to treat prostate cancer while avoiding radical therapies.
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Preablation, postablation, and recurrence multiparametric MRI scans depict a 63-year-old man treated with transperineal focal laser ablation (TPLA) for localized prostate cancer. Clinical parameters included an initial prostate-specific antigen (PSA) level of 7.2 ng/mL, a Prostate Imaging Reporting and Data System (PI-RADS) grade 4 lesion (red circles) in the right apical peripheral zone, and a maximum tumor length of 5 mm. MRI-guided targeted biopsy confirmed a Gleason score 3+4 prostate cancer tumor. (A) Pre-ablation axial T2-weighted MRI scan and apparent diffusion coefficient (ADC) image shows the apical PI-RADS 4 lesion (circles). (B) Six-month post-ablation axial T2-weighted MRI scan and ADC image show cystic necrosis (arrows). There was no evidence of recurrence; the PSA level was 1.5 ng/mL. (C) One-year after ablation, the patient’s PSA level had increased to 4.3 ng/mL. Axial T2-weighted MRI scan and the ADC image shows a recurrent lesion (blue circles) in the right apical peripheral zone adjacent to the ablation scar. Targeted biopsy confirmed Gleason score 3+4 prostate cancer, which was classified as in-field recurrence of clinically significant prostate cancer and subsequently re-treated with TPLA. In summary, serial multiplanar MRI demonstrates treatment response after TPLA with post-ablation necrosis, followed by MRI-detected IFR confirmed with biopsy at 12-month follow-up. Multiparametric MRI was performed with a 3.0-T MRI scanner (Skyra; Siemens Healthineers) using T2-weighted, diffusion-weighted, and ADC sequences, with gadobenate dimeglumine contrast material administration (Bracco Diagnostics).
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Representative SV2A PET images comparing synaptic density in healthy and disease states. The left panel shows F-18 SynVesT-1 PET distribution volume (VT) maps of the brain and spinal cord in a naïve control mouse and a mouse with experimental autoimmune encephalomyelitis (EAE), a model of multiple sclerosis. The right panel shows Cu-11 UCB-J PET images of the brain of a 46-year-old male healthy control (left) and 43-year-old female MS patient (right).
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